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In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
One example is below.
Q: Statement : Says the Annies List political group supports third-trimester abortions on demand.
Subject: abortion
A: True
Rationale: abortion is a correct subject of the statement because it talks about a political group supporting demans of abortions. So True is the correct answer.
Q: Statement: SaysGOP U.S. Senate candidate Darryl Glenn wants to eliminate the Department of Education and jeopardize college fundingfor 320,000 Coloradans.
Subject: education
A:
|
True
|
task1187_politifact_classification
|
NIv2
|
fs_opt
| 9
|
train
|
Definition: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Input: Statement: Premeditation, in murder cases like the Oscar Pistorius case, can be formed in the twinkling of an eye.
Subject: congress,congressional-rules,government-efficiency
Output:
|
False
|
task1187_politifact_classification
|
NIv2
|
zs_opt
| 2
|
train
|
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Example: Statement : Says the Annies List political group supports third-trimester abortions on demand.
Subject: abortion
Example solution: True
Example explanation: abortion is a correct subject of the statement because it talks about a political group supporting demans of abortions. So True is the correct answer.
Problem: Statement: $500 billion of the extension of the Bush tax cuts for the wealthy goes to 120,000 families.
Subject: elections
|
Solution: False
|
task1187_politifact_classification
|
NIv2
|
fs_opt
| 5
|
train
|
Part 1. Definition
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Part 2. Example
Statement : Says the Annies List political group supports third-trimester abortions on demand.
Subject: abortion
Answer: True
Explanation: abortion is a correct subject of the statement because it talks about a political group supporting demans of abortions. So True is the correct answer.
Part 3. Exercise
Statement: Says the Obama administration spent taxpayer dollars on electric cars in Finland (and) windmills in China.
Subject: stimulus
Answer:
|
True
|
task1187_politifact_classification
|
NIv2
|
fs_opt
| 7
|
train
|
Q: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Statement: In Jeanne Shaheen, New Hampshire has a Senator who was the deciding vote to pass Obamacare.
Subject: abortion
A:
|
False
|
task1187_politifact_classification
|
NIv2
|
zs_opt
| 7
|
train
|
Teacher:In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Teacher: Now, understand the problem? Solve this instance: Statement: Says Thomas Jefferson helped craft the Constitution.
Subject: history
Student:
|
True
|
task1187_politifact_classification
|
NIv2
|
zs_opt
| 6
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Statement: One in four Texans lacks health insurance, the highest proportion in the nation.
Subject: health-care,pundits
Output:
|
True
|
task1187_politifact_classification
|
NIv2
|
zs_opt
| 1
|
train
|
Given the task definition, example input & output, solve the new input case.
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Example: Statement : Says the Annies List political group supports third-trimester abortions on demand.
Subject: abortion
Output: True
abortion is a correct subject of the statement because it talks about a political group supporting demans of abortions. So True is the correct answer.
New input case for you: Statement: Says Marco Rubio opposes immigration reform. Worse, Rubio supports Donald Trump. His plan would deport 800,000 children, destroying families.
Subject: children,consumer-safety
Output:
|
False
|
task1187_politifact_classification
|
NIv2
|
fs_opt
| 1
|
train
|
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
One example: Statement : Says the Annies List political group supports third-trimester abortions on demand.
Subject: abortion
Solution is here: True
Explanation: abortion is a correct subject of the statement because it talks about a political group supporting demans of abortions. So True is the correct answer.
Now, solve this: Statement: Says enrolling a student in a subsidized lunch program triggers an at risk designation, resulting in an extra $6,000 to $7,000 of state school aid per student.
Subject: city-government,corrections-and-updates
Solution:
|
False
|
task1187_politifact_classification
|
NIv2
|
fs_opt
| 6
|
test
|
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
[EX Q]: Statement: Six of the 10 richest counties in the United States surround Washington, D.C.
Subject: ethics,transparency
[EX A]: False
[EX Q]: Statement: These 15 political appointees (on the IPAB) will make all the major health care decisions for over 300 million Americans.
Subject: health-care,new-hampshire-2012,abc-news-week
[EX A]: True
[EX Q]: Statement: "It used to be the policy of the Republican Party to get rid of the Department of Education. We finally get in charge and a chance to do something, so we double the size of the Department of Education."
Subject: education
[EX A]:
|
True
|
task1187_politifact_classification
|
NIv2
|
fs_opt
| 6
|
validation
|
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Problem:#1 return piles of pillows
#2 return #1 that are stacked neatly
#3 return #1 besides #2
#4 return number of #3
#5 return if #4 is at least two
Solution:
|
If there are piles of pillows that are not stacked neatly.
|
task184_break_generate_question
|
NIv2
|
zs_opt
| 8
|
train
|
Q: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
#1 return cylinders
#2 return #1 that are matte
#3 return #2 that is green
#4 return #2 besides #3
#5 return the size of #3
#6 return the size of #4
#7 return #4 where #6 is the same as #5
#8 return the number of #7
A:
|
How many other matte material cylinder shaped objects are the same size as the green one?
|
task184_break_generate_question
|
NIv2
|
zs_opt
| 7
|
train
|
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Problem:#1 return the Burmese king dies
#2 return month of #1
Solution:
|
In what month did the Burmese king die?
|
task184_break_generate_question
|
NIv2
|
zs_opt
| 8
|
train
|
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
#1 return the 15 Paraguayan presidents assumed office
#2 return years of #1
#3 return the lowest of #2
#4 return the highest of #2
#5 return the difference of #4 and #3
In how many years did 15 Paraguayan presidents assumed office?
#1 return cart
#2 return #1 that is red
#3 return if #2 is in one of the images
If the cart in one of the images is red.
#1 return pictures
#2 return phones in #1
#3 return #2 that are side by side
#4 return number of #3 for each #1
#5 return #1 where #4 is at least three
#6 return number of #5
#7 return if #6 is equal to one
|
If there are at least three phones side by side in one of the pictures.
|
task184_break_generate_question
|
NIv2
|
fs_opt
| 0
|
train
|
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Example input: #1 return secretaries
#2 return #1 born in state 'Alabama
#3 return departments managed by #2
#4 return distinct creation years of #3
Example output: What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?
Example explanation: You should follow the steps in order to realize what is the asked question. In this example, the first returned entities are secretaries(based on step #1) who are born in Alabama(based on step #2). In the step #3 departments managed by step #2(which is secretaries born in Alabama. In the final steps the creation years of the departments is returned, so the question will be about the creation years of the departments.
Q: #1 return cubes
#2 return objects
#3 return #2 that are big
#4 return number of #1
#5 return number of #3
#6 return if #4 is more than #5
A:
|
Are there more cubes than big objects?
|
task184_break_generate_question
|
NIv2
|
fs_opt
| 3
|
train
|
Teacher:In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Teacher: Now, understand the problem? Solve this instance: #1 return objects
#2 return sizes of #1
#3 return are #2 all about the same
Student:
|
Are all the objects about the same size?
|
task184_break_generate_question
|
NIv2
|
zs_opt
| 6
|
train
|
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
#1 return smallestt object
#2 return largest object
#3 return material of #1
#4 return material of #2
#5 return is #3 the same as #4
|
is the smallestt object made from the same material as the largest object?
|
task184_break_generate_question
|
NIv2
|
zs_opt
| 0
|
train
|
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Problem:#1 return objects
#2 return #1 that are cylinders
#3 return #2 that are matte
#4 return number of #3
Solution:
|
How many cylinders are matte?
|
task184_break_generate_question
|
NIv2
|
zs_opt
| 8
|
train
|
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Example: #1 return secretaries
#2 return #1 born in state 'Alabama
#3 return departments managed by #2
#4 return distinct creation years of #3
Example solution: What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?
Example explanation: You should follow the steps in order to realize what is the asked question. In this example, the first returned entities are secretaries(based on step #1) who are born in Alabama(based on step #2). In the step #3 departments managed by step #2(which is secretaries born in Alabama. In the final steps the creation years of the departments is returned, so the question will be about the creation years of the departments.
Problem: #1 return the large red cylinder
#2 return shapes
#3 return #2 that #1 is blocking
#4 return #3 that are metallic
#5 return #3 besides #4
|
Solution: what shape is the large red cylinder blocking that is not metallic?
|
task184_break_generate_question
|
NIv2
|
fs_opt
| 5
|
test
|
Teacher:In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Teacher: Now, understand the problem? Solve this instance: #1 return males
#2 return females
#3 return #1 that were literate
#4 return #2 that were literate
#5 return percentage of #3
#6 return percentage of #4
#7 return the difference of #5 and #6
Student:
|
How many more, in percentage, of males were literate compared to females?
|
task184_break_generate_question
|
NIv2
|
zs_opt
| 6
|
validation
|
Detailed Instructions: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Q: Prompt: I'm Pam. Pam Weinstein. No relation to the pope.
Response 1: Hey Trumpet Davis, are you sure you're just passing through? You can't, I don't know, play here for a couple of nights a week?
Response 2: Pam, what a beautiful name. It reminds me of my favorite cooking spray.
A:
|
Response 2
|
task362_spolin_yesand_prompt_response_sub_classification
|
NIv2
|
zs_opt
| 9
|
train
|
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
One example: Prompt: See, Arlene? That's why I don't talk to you like that because I'm afraid I'll scare our son.
Response 1: I have 12. Wait, is the key to a success story getting the number to go down?
Response 2: Oh, Dad. Even that wasn't great.
Solution is here: Response 2
Explanation: Response 2 is correct answer because it agrees with the prompt and continues the conversation in the same context.
Now, solve this: Prompt: This lion over here intrigues and concerns me. June, why don't you go up to him and give him one of your patented June Mane Rubs? That'll get him talking.
Response 1: All right. Thank you for suggesting the only thing I'm really good at.
Response 2: I eat the cheese and he eats the crust.
Solution:
|
Response 1
|
task362_spolin_yesand_prompt_response_sub_classification
|
NIv2
|
fs_opt
| 6
|
train
|
Definition: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Input: Prompt: Sweetheart, please stop talking. We're watching the news.
Response 1: We do, but it's sort of a continental snack that's between lunch and dinner time.
Response 2: It's news time, honey. Go be a baby on your own time.
Output:
|
Response 2
|
task362_spolin_yesand_prompt_response_sub_classification
|
NIv2
|
zs_opt
| 2
|
train
|
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Example: Prompt: See, Arlene? That's why I don't talk to you like that because I'm afraid I'll scare our son.
Response 1: I have 12. Wait, is the key to a success story getting the number to go down?
Response 2: Oh, Dad. Even that wasn't great.
Example solution: Response 2
Example explanation: Response 2 is correct answer because it agrees with the prompt and continues the conversation in the same context.
Problem: Prompt: Did you get them taken out or did you just let them grow in there?
Response 1: Yeah, I know. I'm whispering across the table because I was hoping that you could pick up on the fact that I don't want to talk about my wedding date right now.
Response 2: I went on Weight Watchers and I worked to eat the proper amount of snacks.
|
Solution: Response 2
|
task362_spolin_yesand_prompt_response_sub_classification
|
NIv2
|
fs_opt
| 5
|
train
|
Detailed Instructions: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Problem:Prompt: Okay, well, unless you have a ticket we can't you into the game.
Response 1: Well, look. I'm willing to go in here without pay.
Response 2: It's our future, Fantastic Sam. It's a kid doing a stand up set.
Solution:
|
Response 1
|
task362_spolin_yesand_prompt_response_sub_classification
|
NIv2
|
zs_opt
| 8
|
train
|
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Prompt: Ted, it's so typical to make every bit of news about you.
Response 1: It's my thing. That's what I do. I saw the superhero go that way!
Response 2: Yeah, you've always done it historically. I've got news for you buddy, it's not all about you.
|
Response 2
|
task362_spolin_yesand_prompt_response_sub_classification
|
NIv2
|
zs_opt
| 0
|
train
|
Given the task definition and input, reply with output. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Prompt: How are you?
Response 1: That is a terrific idea. No other network will be able to top this.
Response 2: I'm fine, thanks for asking, my private plane had to make an emergency landing in this tiny town.
|
Response 2
|
task362_spolin_yesand_prompt_response_sub_classification
|
NIv2
|
zs_opt
| 5
|
train
|
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Q: Prompt: Trumpet Davis, before you were a jazz musician, you worked in the insurance industry?
Response 1: That's OK Vince, you can come fuck me instead. Forget about John.
Response 2: That's right. For a long time. I was the CEO of Aetna.
A:
|
Response 2
|
task362_spolin_yesand_prompt_response_sub_classification
|
NIv2
|
zs_opt
| 4
|
train
|
Definition: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Input: Prompt: Fine, but no fast moves, sonny. Don't get any ideas.
Response 1: Just getting some ice. Filling it up from the fountain. I'm terrified. Never had a gun pointed at me before.
Response 2: That sounds good. Are you calling a band meeting?
Output:
|
Response 1
|
task362_spolin_yesand_prompt_response_sub_classification
|
NIv2
|
zs_opt
| 2
|
test
|
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
One example: Prompt: See, Arlene? That's why I don't talk to you like that because I'm afraid I'll scare our son.
Response 1: I have 12. Wait, is the key to a success story getting the number to go down?
Response 2: Oh, Dad. Even that wasn't great.
Solution is here: Response 2
Explanation: Response 2 is correct answer because it agrees with the prompt and continues the conversation in the same context.
Now, solve this: Prompt: Oh my god, I haven't seen you in what, 15 or 20 years? You're going to Coach Klein's funeral too?
Response 1: I am, he was a real son of a bitch but a friend of mine said he didn't have any remaining family and I just thought I should go, and I thought what's the least amount of money I can spend on an outfit and I decided to come here.
Response 2: But it was self defense.
Solution:
|
Response 1
|
task362_spolin_yesand_prompt_response_sub_classification
|
NIv2
|
fs_opt
| 6
|
validation
|
Instructions: In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however, you may NOT respond with a sentence which uses 'fly' as the insect. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Input: scratch
Sentence: Don't scratch your insect bites!
Output:
|
The lovers scratched their names into the bark of the tree.
|
task628_xlwic_word_with_different_meaning_sentence_generation
|
NIv2
|
zs_opt
| 3
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however, you may NOT respond with a sentence which uses 'fly' as the insect. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
youth
Sentence: Her youth and beauty is what attracted him to her.
Output:
|
I made many mistakes in my youth, but learned from them all.
|
task628_xlwic_word_with_different_meaning_sentence_generation
|
NIv2
|
zs_opt
| 1
|
train
|
In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however, you may NOT respond with a sentence which uses 'fly' as the insect. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
One example: ruler
Sentence: The headmistress struck the table with a ruler.
Solution is here: The ruler decided to change taxation laws in his province.
Explanation: The word 'ruler' has a different meaning in both the input and output sentences. In the input sentence, it refers to a measuring stick, and in the output sentence, it refers one that rules, such as a king. Therefore, the answer is correct.
Now, solve this: setting
Sentence: You can't do that in a university setting.
Solution:
|
The perfect setting for a ghost story.
|
task628_xlwic_word_with_different_meaning_sentence_generation
|
NIv2
|
fs_opt
| 6
|
train
|
Teacher:In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however, you may NOT respond with a sentence which uses 'fly' as the insect. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Teacher: Now, understand the problem? Solve this instance: stroke
Sentence: The pregnancy was a stroke of bad luck.
Student:
|
She applied the paint in careful strokes.
|
task628_xlwic_word_with_different_meaning_sentence_generation
|
NIv2
|
zs_opt
| 6
|
train
|
Detailed Instructions: In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however, you may NOT respond with a sentence which uses 'fly' as the insect. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Q: deliver
Sentence: Deliver the mail.
A:
|
The guard delivered the criminal to the police.
|
task628_xlwic_word_with_different_meaning_sentence_generation
|
NIv2
|
zs_opt
| 9
|
train
|
In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however, you may NOT respond with a sentence which uses 'fly' as the insect. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Ex Input:
deliver
Sentence: Deliver the mail.
Ex Output:
The guard delivered the criminal to the police.
Ex Input:
table
Sentence: It was a sturdy table.
Ex Output:
He entertained the whole table with his witty remarks.
Ex Input:
pound
Sentence: Pound the roots with a heavy flat stone.
Ex Output:
|
The salesman pounded the door knocker.
|
task628_xlwic_word_with_different_meaning_sentence_generation
|
NIv2
|
fs_opt
| 1
|
train
|
Detailed Instructions: In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however, you may NOT respond with a sentence which uses 'fly' as the insect. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Q: regret
Sentence: I regret I can't come to the party.
A:
|
I regret that I have to do this, but I don't have a choice.
|
task628_xlwic_word_with_different_meaning_sentence_generation
|
NIv2
|
zs_opt
| 9
|
train
|
Definition: In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however, you may NOT respond with a sentence which uses 'fly' as the insect. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Input: walk
Sentence: We like to walk every Sunday.
Output:
|
We must walk with our dispossessed brothers and sisters.
|
task628_xlwic_word_with_different_meaning_sentence_generation
|
NIv2
|
zs_opt
| 2
|
train
|
Teacher:In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however, you may NOT respond with a sentence which uses 'fly' as the insect. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Teacher: Now, understand the problem? Solve this instance: surprise
Sentence: The surprise attack was devastating.
Student:
|
Imagine my surprise on learning I owed twice as much as I thought I did.
|
task628_xlwic_word_with_different_meaning_sentence_generation
|
NIv2
|
zs_opt
| 6
|
test
|
Part 1. Definition
In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however, you may NOT respond with a sentence which uses 'fly' as the insect. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Part 2. Example
ruler
Sentence: The headmistress struck the table with a ruler.
Answer: The ruler decided to change taxation laws in his province.
Explanation: The word 'ruler' has a different meaning in both the input and output sentences. In the input sentence, it refers to a measuring stick, and in the output sentence, it refers one that rules, such as a king. Therefore, the answer is correct.
Part 3. Exercise
flood
Sentence: Flood the market with tennis shoes.
Answer:
|
The images flooded his mind.
|
task628_xlwic_word_with_different_meaning_sentence_generation
|
NIv2
|
fs_opt
| 7
|
validation
|
Detailed Instructions: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Problem:পিকচার এর সাথে পিজা র কোনো মিল নাই..বাজে একদম.. চেজে তো খুঁজতে হয় পিজা তে...
Solution:
|
negative
|
task1496_bengali_reviews_sentiment_classification
|
NIv2
|
zs_opt
| 8
|
train
|
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
--------
Question: আপনি কি মনে করেন যে কখনও মন দিয়ে কারো সঙ্গে কোন কথোপকথন করতে পারেন।
Answer: negative
Question: সর্বোত্তম সেবা
Answer: positive
Question: চমৎকার পরিবেশ চমৎকার প্রসাধন এবং মুখরোচক খাবার আমি শুধু এই জায়গা ভালবাসেন আর আরো এবং আরো যেতে ইচ্ছুক
Answer:
|
positive
|
task1496_bengali_reviews_sentiment_classification
|
NIv2
|
fs_opt
| 7
|
train
|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
এই জায়গা চমৎকার পরিবেশ ভালবাসা এবং আমার পছন্দের কিছু পেয়েছিলাম তাই এই আমার সবচেয়ে প্রস্তাবিত রেস্টুরেন্টে হচ্ছে
Solution: positive
Why? Here the reviewer seems to love the ambience of the restaurant, so this should be classified as positive.
New input: ডেকোরেশন খুব ভালো ছিলো বুট স্পেস তা কত ছোট খাবারের প্রাইস অনেক অনেক অনেক রিসোনাবলে টেস্ট অনেক ভালো
Solution:
|
positive
|
task1496_bengali_reviews_sentiment_classification
|
NIv2
|
fs_opt
| 0
|
train
|
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
One example is below.
Q: এই জায়গা চমৎকার পরিবেশ ভালবাসা এবং আমার পছন্দের কিছু পেয়েছিলাম তাই এই আমার সবচেয়ে প্রস্তাবিত রেস্টুরেন্টে হচ্ছে
A: positive
Rationale: Here the reviewer seems to love the ambience of the restaurant, so this should be classified as positive.
Q: আজ আমার এবং আমার স্ত্রী সেখানে গিয়েছিলাম ইফতারের আছে এবং তাদের হাক্কা খাদ্য স্বাদ। সকল আসন 5:30 টায় খালি ছিল, এখনও তারা বলেছিল সব আসন শ্রবণ যে আমরা মাত্র দুটি persons.So ছিল পর আয়োজন করা হয়, এটা স্পষ্ট যে যদি আমরা ছিলাম চেয়ে বেশি দুই, তাহলে সব বুক আসন খালি হত। ...... তোমার দর্শন লগ করা ব্যবস্থা করা না পারেন, তাহলে দম্পতিরা তারপর একটি চিহ্ন "উপলব্ধ কোন দম্পতিরা আসন" উল্লেখ করে স্তব্ধ জন্য
A:
|
negative
|
task1496_bengali_reviews_sentiment_classification
|
NIv2
|
fs_opt
| 9
|
train
|
Q: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
খাদ্য মানের তাদের প্রাইস.ÔøΩ আপনার খাদ্য মানের আপগ্রেড হিসাবে ভাল হয় না firstÔøΩ
A:
|
negative
|
task1496_bengali_reviews_sentiment_classification
|
NIv2
|
zs_opt
| 7
|
train
|
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
[EX Q]: সার্ভিস ভালো ছিল না। কফি কোয়ালিটির খুব খারাপ
[EX A]: negative
[EX Q]: আমি তাদের সেবা চাই। They,Äôre খুব ভদ্র।
[EX A]: negative
[EX Q]: এই স্থানটি একটি বোমা
[EX A]:
|
positive
|
task1496_bengali_reviews_sentiment_classification
|
NIv2
|
fs_opt
| 6
|
train
|
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
--------
Question: অন্য থাই রেস্তোরাঁতে অনুরূপ তুলনায় কিভাবে একটি নির্দিষ্ট ডিশ প্রস্তুত করা হয় তার সম্পর্কে জিজ্ঞাসা করা হলে তিনি বলেন, এটি ম্যাকডোনাল্ড নয়, প্রত্যেকটি জায়গা জিনিসগুলিকে আলাদা করে রাখে যদিও প্রতিটি জায়গা প্রকৃতপক্ষে ভিন্ন হয়, তবে অনিশ্চিত হওয়ার প্রয়োজন নেই গ্রাহকদের এবং নির্লজ্জ অদ্ভুত।
Answer: negative
Question: সব বলছে আরব মাস্টার বারী ঘর হয় এম সেবা খাদ্য পছন্দ এন সকল কর্মীদের দ ছোট ভাই গান অত্যধিক কাছাকাছি ভাই এন মালিক দ খোলা যেমন একটি আশ্চর্যজনক পাশ ভাই
Answer: positive
Question: খাবারটি খুব ভালো ছিল ... কিন্তু আমি আমার ডিনারটা আরো উপভোগ করতাম যদি বসার জায়গাটা আরো প্রশস্ত হত ।
Answer:
|
positive
|
task1496_bengali_reviews_sentiment_classification
|
NIv2
|
fs_opt
| 7
|
train
|
Given the task definition and input, reply with output. In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
আমি তাদের খাবার পছন্দ করতাম, কিন্তু সম্প্রতি তারা খুব খারাপ অবনতি হয়েছে। মুরগি আগের রান্না করা বলে মনে হচ্ছে এবং পুনরায় গরম করা এবং স্বাদে স্পন্দনশীল হিসাবে নয়। পরিমাণ ও কমে গেছে,, তাই আমি এর পরিবর্তে অন্য আরেকটায় যেতে বাধ্য হলাম।
|
negative
|
task1496_bengali_reviews_sentiment_classification
|
NIv2
|
zs_opt
| 5
|
train
|
Instructions: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Input: খাদ্যের স্বাদ এবং মূল্য দুইটাই তেমন ভাল ছিলনা ... এই ধরনের খাবারের দাম কম হওয়ার কথা কিন্তু তারা দাম অনেক বেশী রাখছে । দুঃখিত এগুলো ভালো মানের খাবার ছিল না ..
Output:
|
negative
|
task1496_bengali_reviews_sentiment_classification
|
NIv2
|
zs_opt
| 3
|
test
|
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
[EX Q]: গ্রেট খাবার, বিশেষ করে BBQ (ললিপপ) চিকেন, প্রত্যেকেরই যাওয়া এবং স্বাদ নেয়া উচিত।
[EX A]: positive
[EX Q]: বার্গার ও ভাজাভুজির জন্য খুব ভাল অ্যামেজিং বার্গার মতো শুধু বাহ
[EX A]: positive
[EX Q]: সত্যিই তার প্রশংসনীয় ভাল জায়গা কি কখনো আমি এই রেস্টুরেন্টে প্রেমময় করছি সেখানে খাবারের সুস্বাদু এবং তারা খুব ভাল লাঠি আছে তারা অনুগত ও খুব ভাল
[EX A]:
|
positive
|
task1496_bengali_reviews_sentiment_classification
|
NIv2
|
fs_opt
| 6
|
validation
|
Teacher:In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Teacher: Now, understand the problem? Solve this instance: Context: Hope I get the chance to show @Drake my presidential bling when he comes to campus! #BringDraketoDrake — Marty Martin (@drakepresident) October 1, 2016 Answer: campus
Student:
|
where is drake going to come?
|
task240_tweetqa_question_generation
|
NIv2
|
zs_opt
| 6
|
train
|
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: Excited to play #Zordon in the #PowerRangersMovie! T or F: #BlueRanger Billy Cranston was named after what actor? Bryan Cranston (@BryanCranston) June 21, 2016 Answer: zordon
A: whose role was cranston going to fulfill?
****
Q: Context: "I was at the mall w/my kids & overheard some teenagers (guys & girls) talking about female Thor excitedly & I just am happy to be in comics— Scott Snyder (@SSnyder1835) July 17, 2014 Answer: female thor
A: what were teenagers talking about?
****
Q: Context: FULL TIME: It's finished goalless between @FCShakhtar_eng & #FCBayern. #FCSDFCB FC Bayern English (@FCBayernEN) February 17, 2015 Answer: neither team score a goal.
A:
|
what happened at the game that was surprising?
****
|
task240_tweetqa_question_generation
|
NIv2
|
fs_opt
| 4
|
train
|
Definition: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Input: Context: Vogue India: we've completed 10 years in India!Vogue India: we need to celebrate India!Vogue India: let's put Kendall Jenner on the cover!— Peglet (@PedestrianPoet) May 4, 2017 Answer: kendall jenner
Output:
|
which celebrity does harnidh kaur think should represent this celebration?
|
task240_tweetqa_question_generation
|
NIv2
|
zs_opt
| 2
|
train
|
Teacher:In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Teacher: Now, understand the problem? Solve this instance: Context: The 'Batgirl' variant cover that got pulled...which means, of course, this image will live forever, seen by millions. Blake Northcott (@ComicBookGrrl) March 17, 2015 Answer: the batgirl variant cover
Student:
|
which cover got pulled?
|
task240_tweetqa_question_generation
|
NIv2
|
zs_opt
| 6
|
train
|
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: It's been one year since these four boys decided to be strong and stay for us # One Direction (@1DsUniverse) March 25, 2016 Answer: four
A: how many boys were strong and stayed?
****
Q: Context: Sources: All-Star Paul George tells Pacers he plans to leave franchise in 2018 free agency, prefers Lakers. — Adrian Wojnarowski (@WojVerticalNBA) June 18, 2017 Answer: lakers
A: where does paul george prefer to be?
****
Q: Context: ExCo unanimously supports recommendation to publish report on 2018/2022 FIFA World Cup bidding process: FIFA Media (@fifamedia) December 19, 2014 Answer: 2018/2022 fifa world cup bidding process
A:
|
what report is recommended to be published
****
|
task240_tweetqa_question_generation
|
NIv2
|
fs_opt
| 4
|
train
|
Part 1. Definition
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Part 2. Example
Context: Our prayers are with the students, educators & families at Independence High School & all the first responders on the scene. #PatriotPride— Doug Ducey (@dougducey) February 12, 2016 Answer: independence high school
Answer: at which school were first responders on the scene for?
Explanation: We can see that independence high school should answer the generated question. Based on the tweet, all the first responders are on the scene at independence high school. So we can create a question based on this sentence.
Part 3. Exercise
Context: People of Hawaii's 2nd district - was it not enough for you that your rep met with a murderous dictator? Will this move you?1 Neera Tanden (@neeratanden) April 7, 2017 Answer: hawaii
Answer:
|
what state is referenced?
|
task240_tweetqa_question_generation
|
NIv2
|
fs_opt
| 7
|
train
|
TASK DEFINITION: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
PROBLEM: Context: A7: I've always found that between blogging and twitter, that you don't need to do traditional PR. #CNNAfrica— Erik Hersman (@whiteafrican) January 14, 2015 Answer: traditional pr
SOLUTION: what can blogging and twitter replace?
PROBLEM: Context: That's the first time someone from Indiana has said sex panther. #Bachelor— Tanya Rose (@tanroselane) January 26, 2016 Answer: sex panther
SOLUTION: what was the phrase said by the person from indiana?
PROBLEM: Context: Steep N Deep. Icy Ride. And my girls own London Mae. Wish I still had Carving. "@bryce_koch: @MillerBode how many horses do you have ?"— Bode Miller (@MillerBode) September 9, 2014 Answer: london mae
SOLUTION:
|
what do the girls own
|
task240_tweetqa_question_generation
|
NIv2
|
fs_opt
| 8
|
train
|
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: #iwishmyteacherknew that I want to go to college #edchat Kyle Schwartz (@kylemschwartz) April 7, 2015 Answer: college
A: where does she want to go?
****
Q: Context: In addition to winning the Electoral College in a landslide, I won the popular vote if you deduct the millions of people who voted illegally— Donald J. Trump (@realDonaldTrump) November 27, 2016 Answer: the popular vote.
A: what did @realdonaldtrump win if you don't count illegal voters?
****
Q: Context: Working on a new superhero film called Look At Me Man. Gonna be tight, yo. 👍😈😎💪— Shane West (@shanewest_1) May 13, 2014 Answer: tight
A:
|
what did shane west say the film is gonna be?
****
|
task240_tweetqa_question_generation
|
NIv2
|
fs_opt
| 4
|
train
|
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
See one example below:
Problem: Context: Our prayers are with the students, educators & families at Independence High School & all the first responders on the scene. #PatriotPride— Doug Ducey (@dougducey) February 12, 2016 Answer: independence high school
Solution: at which school were first responders on the scene for?
Explanation: We can see that independence high school should answer the generated question. Based on the tweet, all the first responders are on the scene at independence high school. So we can create a question based on this sentence.
Problem: Context: Dear Facebook: Nice French flag overlay. But how do I change my profile picture to show solidarity with the people of Beirut?— K T Bradford (@ktbradford) November 14, 2015 Answer: to show solidarity with the people of beirut
Solution:
|
why does k t bradford want to change his profile picture?
|
task240_tweetqa_question_generation
|
NIv2
|
fs_opt
| 4
|
test
|
instruction:
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
question:
Context: Michael Chertoff on Jeff Sessions: I've found him "knowledgeable, smart, willing to engage and willing to listen" OutFrontCNN (@OutFrontCNN) November 19, 2016 Answer: jeff sessions
answer:
who was michael chertoff talking about?
question:
Context: Abandoned baskets at 14 st whole foods from those who could not take the line. @DNAinfo Rosa Goldensohn (@RosaGoldensohn) January 26, 2015 Answer: whole foods
answer:
where were 14 baskets abandoned?
question:
Context: I wasn't comparing the two. Big difference between comparing and reminding. Apples remind me of oranges. Can't compare them, though.— Seth Rogen (@Sethrogen) January 19, 2015 Answer: oranges
answer:
|
apples cannot be compared with what other fruit?
|
task240_tweetqa_question_generation
|
NIv2
|
fs_opt
| 9
|
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.
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
Passage: He did not think he would get sunburn because he was black
Solution: race-color
Why? This is a stereotype regarding race-color because darker-skinned people are less likely to experience sunburn.
New input: Passage: I came from the projects and couldn't afford a simple meal at the cafeteria.
Solution:
|
socioeconomic
|
task317_crows_pairs_classification_stereotype_type
|
NIv2
|
fs_opt
| 0
|
train
|
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
One example: Passage: He did not think he would get sunburn because he was black
Solution is here: race-color
Explanation: This is a stereotype regarding race-color because darker-skinned people are less likely to experience sunburn.
Now, solve this: Passage: The man grabbed his gun and shot out the window and hit the man walking on the street. Just another day in black hood life.
Solution:
|
race-color
|
task317_crows_pairs_classification_stereotype_type
|
NIv2
|
fs_opt
| 6
|
train
|
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
Example Input: Passage: Nobody would want an immigrant as a DA.
Example Output: nationality
Example Input: Passage: Dave scored an easy goal against the clueless Armenian goalie.
Example Output: nationality
Example Input: Passage: Then they disobeyed god by being lesbians and beginning to kiss.
Example Output:
|
sexual-orientation
|
task317_crows_pairs_classification_stereotype_type
|
NIv2
|
fs_opt
| 3
|
train
|
Instructions: In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
Input: Passage: Like many of his peers, Jaleel's father had left when he was born.
Output:
|
race-color
|
task317_crows_pairs_classification_stereotype_type
|
NIv2
|
zs_opt
| 3
|
train
|
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
Q: Passage: He is so heavy that he makes the earth quake a little everywhere he goes.
A:
|
physical-appearance
|
task317_crows_pairs_classification_stereotype_type
|
NIv2
|
zs_opt
| 4
|
train
|
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
One example is below.
Q: Passage: He did not think he would get sunburn because he was black
A: race-color
Rationale: This is a stereotype regarding race-color because darker-skinned people are less likely to experience sunburn.
Q: Passage: The priest told her it was sacrilegious to marry a Muslim.
A:
|
religion
|
task317_crows_pairs_classification_stereotype_type
|
NIv2
|
fs_opt
| 9
|
train
|
Part 1. Definition
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
Part 2. Example
Passage: He did not think he would get sunburn because he was black
Answer: race-color
Explanation: This is a stereotype regarding race-color because darker-skinned people are less likely to experience sunburn.
Part 3. Exercise
Passage: When you are older you can't seem to hold it at all, that's why retirement homes smell like urine.
Answer:
|
age
|
task317_crows_pairs_classification_stereotype_type
|
NIv2
|
fs_opt
| 7
|
train
|
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
[EX Q]: Passage: I wanted to propose to my girlfriend, but couldn't afford it. She dumped me as she said a poor guy would make a bad partner anyways, due to no financial stability.
[EX A]: socioeconomic
[EX Q]: Passage: She was overweight and They are always eating, she doesn't wait long until eating.
[EX A]: physical-appearance
[EX Q]: Passage: Teenagers never listen to their parents because they think they know everything.
[EX A]:
|
age
|
task317_crows_pairs_classification_stereotype_type
|
NIv2
|
fs_opt
| 6
|
train
|
instruction:
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
question:
Passage: The man couldn't look away. He felt instantly attracted and decided that he needed to make a move.
answer:
gender
question:
Passage: Abigail was blushing from the young woman's compliments.
answer:
age
question:
Passage: Asians cant drive because they have slanted eyes
answer:
|
race-color
|
task317_crows_pairs_classification_stereotype_type
|
NIv2
|
fs_opt
| 9
|
test
|
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
Q: Passage: Gay people are out of touch with real Americans.
A:
|
sexual-orientation
|
task317_crows_pairs_classification_stereotype_type
|
NIv2
|
zs_opt
| 4
|
validation
|
You will be given a definition of a task first, then some input of the task.
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural. Human will make statements in a more or less coherent and logical way. Since these messages are supposed to be conversation openers, humans will generally start sensibly with a hello or an introduction. Humans may also ask why the other person is not responding. Bots, however, may act as if they are in the middle of a nonsensical conversation.
SENDER A: ok
SENDER A: hi there
Output:
|
Human
|
task856_conv_ai_2_classification
|
NIv2
|
zs_opt
| 1
|
train
|
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural. Human will make statements in a more or less coherent and logical way. Since these messages are supposed to be conversation openers, humans will generally start sensibly with a hello or an introduction. Humans may also ask why the other person is not responding. Bots, however, may act as if they are in the middle of a nonsensical conversation.
[EX Q]: SENDER A: What do you do for living?
SENDER A: What is the color of your eyes?
SENDER A: What is color of your skin?
SENDER A: Do you like bikes?
[EX A]: Human
[EX Q]: SENDER A: ok
SENDER A: hi there
[EX A]: Human
[EX Q]: SENDER A: Good to see you!
[EX A]:
|
Bot
|
task856_conv_ai_2_classification
|
NIv2
|
fs_opt
| 6
|
train
|
Given the task definition and input, reply with output. Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural. Human will make statements in a more or less coherent and logical way. Since these messages are supposed to be conversation openers, humans will generally start sensibly with a hello or an introduction. Humans may also ask why the other person is not responding. Bots, however, may act as if they are in the middle of a nonsensical conversation.
SENDER A: What do you do for living?
SENDER A: What is the color of your eyes?
SENDER A: What is color of your skin?
SENDER A: Do you like bikes?
|
Human
|
task856_conv_ai_2_classification
|
NIv2
|
zs_opt
| 5
|
train
|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural. Human will make statements in a more or less coherent and logical way. Since these messages are supposed to be conversation openers, humans will generally start sensibly with a hello or an introduction. Humans may also ask why the other person is not responding. Bots, however, may act as if they are in the middle of a nonsensical conversation.
hello
Solution: Human
Why? This is an example of correct classification because the sender really was a human. To start with a hello is a normal thing for a human to do. Frequently bots don't start with hello, or if they do, they follow it with non-sequiturs.
New input: SENDER A: Hi
Solution:
|
Human
|
task856_conv_ai_2_classification
|
NIv2
|
fs_opt
| 0
|
train
|
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural. Human will make statements in a more or less coherent and logical way. Since these messages are supposed to be conversation openers, humans will generally start sensibly with a hello or an introduction. Humans may also ask why the other person is not responding. Bots, however, may act as if they are in the middle of a nonsensical conversation.
Q: SENDER A: i like spending time with my husband and listening to taylor swift what else do you like
A:
|
Bot
|
task856_conv_ai_2_classification
|
NIv2
|
zs_opt
| 4
|
train
|
Detailed Instructions: Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural. Human will make statements in a more or less coherent and logical way. Since these messages are supposed to be conversation openers, humans will generally start sensibly with a hello or an introduction. Humans may also ask why the other person is not responding. Bots, however, may act as if they are in the middle of a nonsensical conversation.
Problem:SENDER A: cool
Solution:
|
Human
|
task856_conv_ai_2_classification
|
NIv2
|
zs_opt
| 8
|
train
|
Detailed Instructions: Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural. Human will make statements in a more or less coherent and logical way. Since these messages are supposed to be conversation openers, humans will generally start sensibly with a hello or an introduction. Humans may also ask why the other person is not responding. Bots, however, may act as if they are in the middle of a nonsensical conversation.
Q: SENDER A: i tend my rose garden and read books i am deaf in one ear
A:
|
Bot
|
task856_conv_ai_2_classification
|
NIv2
|
zs_opt
| 9
|
train
|
Teacher:Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural. Human will make statements in a more or less coherent and logical way. Since these messages are supposed to be conversation openers, humans will generally start sensibly with a hello or an introduction. Humans may also ask why the other person is not responding. Bots, however, may act as if they are in the middle of a nonsensical conversation.
Teacher: Now, understand the problem? Solve this instance: SENDER A: Good to see you!
Student:
|
Bot
|
task856_conv_ai_2_classification
|
NIv2
|
zs_opt
| 6
|
train
|
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural. Human will make statements in a more or less coherent and logical way. Since these messages are supposed to be conversation openers, humans will generally start sensibly with a hello or an introduction. Humans may also ask why the other person is not responding. Bots, however, may act as if they are in the middle of a nonsensical conversation.
SENDER A: Hello, how are you doing?
SENDER A: Let's talk
SENDER A: Are you sleeping there?
SENDER A: Hello?
Human
SENDER A: Rock on!!!
SENDER A: Yo!!
SENDER A: You there, dude???
Human
SENDER A: Hi
|
Human
|
task856_conv_ai_2_classification
|
NIv2
|
fs_opt
| 0
|
test
|
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural. Human will make statements in a more or less coherent and logical way. Since these messages are supposed to be conversation openers, humans will generally start sensibly with a hello or an introduction. Humans may also ask why the other person is not responding. Bots, however, may act as if they are in the middle of a nonsensical conversation.
Q: SENDER A: i've three dogs.
A:
|
Bot
|
task856_conv_ai_2_classification
|
NIv2
|
zs_opt
| 4
|
validation
|
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
No dia seguinte, pus-me de novo em posição observação e vi a matriarca quebrar um galho de árvore colocá-lo na boca, quebrar outro e deixá-lo caído no chão.
Output:
|
في اليوم الموالي ، رأيت الفيلة الأم وهي تقطع غصنا فكانت تضعه في فمها ، ثم تكسر غصنا آخرا ، وتضعه على الأرض.
|
task1277_ted_translation_pt_ar
|
NIv2
|
zs_opt
| 1
|
train
|
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
54 cêntimos por milha, o que é isso?
|
اذا 54 سنتا للميل ، ما هذا ؟
|
task1277_ted_translation_pt_ar
|
NIv2
|
zs_opt
| 5
|
train
|
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Example Input: "" Ou, se o é numa família, porque não num Estado?
Example Output: أو إذا كانت العائلة, إذن لماذا ليست الولاية ؟
Example Input: Não sabemos.
Example Output: لا نعرفها.
Example Input: Porque é que algumas pessoas a aceitam, enquanto outras se revoltam?
Example Output:
|
لماذا يذهبُ الاشخاص مع مسألة مناقشة الأجور ، بينما يثور البعض الآخر ضدها ؟
|
task1277_ted_translation_pt_ar
|
NIv2
|
fs_opt
| 3
|
train
|
Part 1. Definition
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Part 2. Example
Mas o que são direitos humanos?
Answer: ولكن ماهي حقوق الإنسان ؟
Explanation: The Portugese sentence is correctly translated into Arabic, because the meaning is preserved.
Part 3. Exercise
Mas lamentavelmente, a sua saúde não lhe permitiu que viesse hoje.
Answer:
|
ولكن للأسف ، لم يُسمح لها أن تأتي اليوم نظراً لحالتها الصحية.
|
task1277_ted_translation_pt_ar
|
NIv2
|
fs_opt
| 7
|
train
|
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Mas isto não significa que não possamos dar uma resposta ponderada.
|
لكن هذا لا يعني أننا ما زلنا غير قادرين على إعطائهم رداً معتبراً.
|
task1277_ted_translation_pt_ar
|
NIv2
|
zs_opt
| 5
|
train
|
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Q: O Starbucks faz-vos acordar, nós fazemos-vos ficar acordados e vivos.
A:
|
ان ستاربكس تبقيك يقظاً بكافينها.. ولكن نحن نبقيك متيقظاً وعلى قيد الحياة
|
task1277_ted_translation_pt_ar
|
NIv2
|
zs_opt
| 9
|
train
|
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Example Input: Há cinco meses é o que nós estamos a fazer, eu, a Michal, alguns dos meus amigos, estamos apenas a fazer imagens.
Example Output: خمسة أشهر الآن ، وذلك ما نفعله ، أنا وميشيل وبعض الأصدقاء نقوم بعمل الصور.
Example Input: Não digo que seja fácil.
Example Output: لا أقول بأنه سهل
Example Input: A mecânica quântica foi desenvolvida nos anos 20.
Example Output:
|
تم تطوير ميكانيكا الكم في العشرينيات.
|
task1277_ted_translation_pt_ar
|
NIv2
|
fs_opt
| 3
|
train
|
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Input: Consider Input: Então estamos a aplicar estes pilotos de aprendizagem combinada num número de universidades e escolas secundárias em todo o mundo, desde Tsinghua, na China à Universidade Nacional da Mongolia, na Mongolia à Berkeley, na Califórnia — em todo o mundo.
Output: فنحن نقوم بتطبيق تلك الأساليب المدمجة للتعليم في عدة جامعات والمدارس الثانوية حول العالم من تشينغوا في الصين الى الجامعة الوطنية في منغوليا الى جامعه بيركلي كاليفورنيا في جميع أنحاء العالم.
Input: Consider Input: Ajustada a densidade populacional, é menos de um por cento do impacto que teve o terramoto no Haiti.
Output: بمقارنة الكثافة السكانية ، فإن النسبة ستكون أقل من واحد بالمائة من تأثير زلزال هاييتي.
Input: Consider Input: Não está lá para mostrar a realidade do computador.
|
Output: إنه ليس هناك ليريك واقع الحاسوب
|
task1277_ted_translation_pt_ar
|
NIv2
|
fs_opt
| 2
|
train
|
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Outro dispositivo é a SpeedStrip.
|
جهاز آخر يسمى قطاع السرعة.
|
task1277_ted_translation_pt_ar
|
NIv2
|
zs_opt
| 0
|
test
|
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Let me give you an example: Mas o que são direitos humanos?
The answer to this example can be: ولكن ماهي حقوق الإنسان ؟
Here is why: The Portugese sentence is correctly translated into Arabic, because the meaning is preserved.
OK. solve this:
Este gráfico evidencia a relação entre "" aquilo que sabemos "" e "" o quanto sabemos "" [sobre algo].
Answer:
|
ويحاول هذا الرسم البياني الربط بين ما تعرفونه عن أمر ما وحجم المعرفة التي لديكم عن ذلك الأمر.
|
task1277_ted_translation_pt_ar
|
NIv2
|
fs_opt
| 8
|
validation
|
Q: The provided file includes inquiries about restaurants in Turkish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
benim için "mod pizza" bulun.
A:
|
find " mod pizza " for me .
|
task259_spl_translation_tr_en
|
NIv2
|
zs_opt
| 7
|
train
|
Detailed Instructions: The provided file includes inquiries about restaurants in Turkish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Problem:bana "paul" tarafından date_0 tarihinde yazılan tüm değerlendirmeleri göster.
Solution:
|
show me all reviews written by " paul " on date_0 .
|
task259_spl_translation_tr_en
|
NIv2
|
zs_opt
| 8
|
train
|
You will be given a definition of a task first, then some input of the task.
The provided file includes inquiries about restaurants in Turkish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
lütfen " west suburbs " yerinde bulunan restoranları gösterir misin.
Output:
|
show me restaurants in the " west suburbs " please .
|
task259_spl_translation_tr_en
|
NIv2
|
zs_opt
| 1
|
train
|
Definition: The provided file includes inquiries about restaurants in Turkish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Input: 8 adetten daha fazla sayıda değerlendirmeye sahip " mexican " restoranları var mı?
Output:
|
are there any " mexican " restaurants with more than 8 reviews ?
|
task259_spl_translation_tr_en
|
NIv2
|
zs_opt
| 2
|
train
|
The provided file includes inquiries about restaurants in Turkish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
hangi restoranlar 7 ya da daha fazla yorum almış?
what restaurants have received 7 or more reviews ?
bana "paul" tarafından date_0 tarihinde yazılan tüm değerlendirmeleri göster.
show me all reviews written by " paul " on date_0 .
" mr gucci loafers " tarafından yapılan tüm derecelendirmeleri gösterin
|
show all ratings made by " mr gucci loafers "
|
task259_spl_translation_tr_en
|
NIv2
|
fs_opt
| 0
|
train
|
Teacher:The provided file includes inquiries about restaurants in Turkish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Teacher: Now, understand the problem? Solve this instance: bir " mexican " restoranını istiyorum.
Student:
|
i would like a " mexican " restaurant .
|
task259_spl_translation_tr_en
|
NIv2
|
zs_opt
| 6
|
train
|
The provided file includes inquiries about restaurants in Turkish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
bana 8 mil aralığındaki ve 2 değerlendirmeye sahip tüm "chinese" restoranları göster.
|
show me all " chinese " restaurants with 2 star ratings within 8 miles .
|
task259_spl_translation_tr_en
|
NIv2
|
zs_opt
| 0
|
train
|
instruction:
The provided file includes inquiries about restaurants in Turkish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
question:
8 yorumdan daha fazlasını bulunduran restoranları istiyorum.
answer:
i want restaurants with more than 8 reviews .
question:
bana " detroit " yerinde bulunan yemek için birkaç yer bulur musun.
answer:
find me some places to eat in " detroit " .
question:
"thai" restoranlarını bulun.
answer:
|
find " thai " restaurants .
|
task259_spl_translation_tr_en
|
NIv2
|
fs_opt
| 9
|
train
|
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants in Turkish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Example: yakında 6 yıldız puana sahip "italian" restoranı var mı?
Output: are there any " italian " restaurants nearby with 6 star reviews ?
The translation correctly preserves " italian " entity and is accurate
New input case for you: en yakın "wendy 's" telefon numarası ne?
Output:
|
what is the phone number for the nearest " wendy 's " ?
|
task259_spl_translation_tr_en
|
NIv2
|
fs_opt
| 1
|
test
|
The provided file includes inquiries about restaurants in Turkish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
One example is below.
Q: yakında 6 yıldız puana sahip "italian" restoranı var mı?
A: are there any " italian " restaurants nearby with 6 star reviews ?
Rationale: The translation correctly preserves " italian " entity and is accurate
Q: en az 5 yıldızlı " japanese " restoranlarını arayın.
A:
|
search for " japanese " restaurants with at least 5 stars .
|
task259_spl_translation_tr_en
|
NIv2
|
fs_opt
| 9
|
validation
|
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