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Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Example Input: Kathryn Lindskoog, eine unabhängige Lewis-Gelehrte, argumentierte, Hoopers Stipendium sei nicht zuverlässig und er habe falsche Aussagen gemacht und Lewis falsche Werke zugeschrieben.
Example Output: Kathryn Lindskoog, una erudita independiente de Lewis, argumentó que la beca de Hooper no es confiable y que él ha hecho declaraciones falsas y ha atribuido obras falsas.
Example Input: Das Netzwerk betrieb zuvor einen Übersetzer in Waterbury, W12BH (Kanal 12), der WEDY direkt wiederholte.
Example Output: La red ejecutaba previamente un traductor en Waterbury, W12BH (Canal 12), que repetía directamente a WEDY.
Example Input: Easthope, am 29. Oktober 1784 in Tewkesbury geboren, war der älteste Sohn von Elizabeth von Thomas Easthope, der Tochter von John Leaver aus Overbury, Worcestershire.
Example Output:
|
Easthope, nacido el 29 de octubre de 1784 en Tewkesbury, era el hijo mayor de Elizabeth por Thomas Easthope, hija de John Leaver de Overbury, Worcestershire.
|
task804_pawsx_german_spanish_translation
|
NIv2
|
fs_opt
| 3
|
train
|
Detailed Instructions: Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
See one example below:
Problem: Die NBA-Saison 1975 - 76 war die 30. Saison der National Basketball Association.
Solution: La temporada 1975 - 76 de la Asociación Nacional de Baloncesto fue la temporada 30 de la NBA.
Explanation: This is a correct and accurate translation from German to Spanish because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.
Problem: Sie drangen in Aparan, Kotayk, ein und eroberten am 2. April Jerewan.
Solution:
|
Entraron en Aparan, Kotayk y emergiendo gradualmente, capturaron Ereván el 2 de abril.
|
task804_pawsx_german_spanish_translation
|
NIv2
|
fs_opt
| 4
|
train
|
Detailed Instructions: Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
See one example below:
Problem: Die NBA-Saison 1975 - 76 war die 30. Saison der National Basketball Association.
Solution: La temporada 1975 - 76 de la Asociación Nacional de Baloncesto fue la temporada 30 de la NBA.
Explanation: This is a correct and accurate translation from German to Spanish because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.
Problem: Im Sommer 1956 übernahm Mike Barnett die Rolle von Frank Lovejoy bis zum Ende der Serie im selben Jahr.
Solution:
|
En el verano de 1956, Mike Barnett asumió el papel de Frank Lovejoy hasta el final de la serie en ese mismo año.
|
task804_pawsx_german_spanish_translation
|
NIv2
|
fs_opt
| 4
|
train
|
instruction:
Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
question:
Am 10. November 2015 bestätigte der ATP-Redakteur Josh Meiseles die offizielle Liste der acht Spieler auf der endgültigen Website der ATP World Tour.
answer:
El 10 de noviembre de 2015, el editor de la ATP Josh Meiseles confirmó la lista oficial de 8 jugadores en el sitio web de la final del ATP World Tour.
question:
Er wurde "Thomas" für den Freund von Henry David Thoreau, Thomas Cholmondeley und "Parker" für Theodore Parker genannt.
answer:
Fue nombrado "Thomas" por el amigo de Henry David Thoreau, Thomas Cholmondeley y "Parker" por Theodore Parker.
question:
Aguiari beschrieb es als "eine schöne Aktion allein mitten im Verkehr, aber dort oben mit einer Zen-Statue".
answer:
|
Aguiari lo describió como "una buena acción en medio del tráfico solo, pero allá arriba con una estatua Zen".
|
task804_pawsx_german_spanish_translation
|
NIv2
|
fs_opt
| 9
|
train
|
Given the task definition and input, reply with output. Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Zu den früheren Herausgebern gehörten Michel Foucault, Emmanuel Le Roy Ladurie, Georges Dumezil, François Jacob, Jacques Le Goff, François Furet und Raymond Aron.
|
Los editores anteriores incluyen a Raymond Aron, Georges Dumezil, Francois Jacob, Michel Foucault, Emanuel Roy Ladurie, Francois Furet y Jacques Le Goff.
|
task804_pawsx_german_spanish_translation
|
NIv2
|
zs_opt
| 5
|
train
|
Instructions: Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Input: Die weibliche Hauptrolle spielte Cortez in "Ali Baba und die heilige Krone" unter der Regie von Erminio Salvi.
Output:
|
Cortez jugó el liderazgo femenino en "Ali Baba and the Sacred Crown", dirigida por Erminio Salvi.
|
task804_pawsx_german_spanish_translation
|
NIv2
|
zs_opt
| 3
|
train
|
You will be given a definition of a task first, then some input of the task.
Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Die gemeinsame Verwaltung der Gedenkstätte durch die United States Navy und den National Park Service wurde am 9. September 1980 gegründet.
Output:
|
La administración conjunta del memorial por el Servicio de Parques Nacionales y la Marina de los Estados Unidos se estableció el 9 de septiembre de 1980.
|
task804_pawsx_german_spanish_translation
|
NIv2
|
zs_opt
| 1
|
train
|
Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
[EX Q]: Bailey wurde von Henry Cole als Hausmeister von Breakheart Hill ersetzt.
[EX A]: Bailey fue sucedido como cuidador de Breakheart Hill por Henry Cole.
[EX Q]: Nach Rogers Tod erbte sein Sohn - William de Roumare, Earl of Lincoln - das Herrenhaus.
[EX A]: Después de la muerte de Roger, su hijo heredó, William de Roumare, Earl of Lincoln, la casa señorial.
[EX Q]: Bekanntheit erlangte er auch durch den Ersatz von Archie Kao und Adam Rodriguez.
[EX A]:
|
También ganó popularidad al reemplazar a Archie Kao con Adam Rodríguez.
|
task804_pawsx_german_spanish_translation
|
NIv2
|
fs_opt
| 6
|
train
|
Given the task definition, example input & output, solve the new input case.
Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Example: Die NBA-Saison 1975 - 76 war die 30. Saison der National Basketball Association.
Output: La temporada 1975 - 76 de la Asociación Nacional de Baloncesto fue la temporada 30 de la NBA.
This is a correct and accurate translation from German to Spanish because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.
New input case for you: Ein Teil der Nachbarschaft wurde dem Bezirk Santa Clara angegliedert, während der Rest aus nicht rechtsfähigen Gebieten von San Jose besteht.
Output:
|
Parte del vecindario ha sido conectado al Condado de Santa Clara, mientras que el resto consiste en áreas no registradas de San José.
|
task804_pawsx_german_spanish_translation
|
NIv2
|
fs_opt
| 1
|
test
|
Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Ex Input:
Nach seinem Universitätsabschluss an der Cardiff University und in Harrogate, North Yorkshire, arbeitete er von 1996 bis 1999 im französischen Rouen.
Ex Output:
Después de completar su educación universitaria inicial en la Universidad de Cardiff, y en Harrogate, North Yorkshire, estuvo desde 1996 hasta 1999 en Rouen, Francia.
Ex Input:
Am 9. Juni 2017 ernannte Barkchi Mubin Ergashev zu ihrem Manager, nachdem Vitaliy Levchenko zum Trainerstab von Krylia Sovetov gekommen war.
Ex Output:
El 9 de junio de 2017, Barkchi Mubin Ergashev nombró a su manager luego de que Vitaliy Levchenko se uniera al cuerpo técnico de Krylia Sovetov.
Ex Input:
Togdheer (Somali 'Wabi Togdheer') ist ein saisonaler Fluss in der Togdheer-Region im Osten Somalilands.
Ex Output:
|
Togdheer (somalí 'Wabi Togdheer') es un río estacional en la región del río Togdheer en el este de Somalilandia.
|
task804_pawsx_german_spanish_translation
|
NIv2
|
fs_opt
| 1
|
validation
|
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
walk after turn left twice
|
I_TURN_LEFT I_TURN_LEFT I_WALK
|
task126_scan_structured_text_generation_command_action_all
|
NIv2
|
zs_opt
| 0
|
train
|
Given the task definition and input, reply with output. Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
run and look left
|
I_RUN I_TURN_LEFT I_LOOK
|
task126_scan_structured_text_generation_command_action_all
|
NIv2
|
zs_opt
| 5
|
train
|
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
--------
Question: jump opposite left twice after turn right
Answer: I_TURN_RIGHT I_TURN_LEFT I_TURN_LEFT I_JUMP I_TURN_LEFT I_TURN_LEFT I_JUMP
Question: look around left after run right
Answer: I_TURN_RIGHT I_RUN I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK
Question: look around right and look opposite right
Answer:
|
I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_LOOK
|
task126_scan_structured_text_generation_command_action_all
|
NIv2
|
fs_opt
| 7
|
train
|
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
One example is below.
Q: jump left
A: I_TURN_LEFT I_JUMP
Rationale: The agent must first turn left and then jump in order to jump to the left.
Q: turn opposite left thrice and turn left twice
A:
|
I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT
|
task126_scan_structured_text_generation_command_action_all
|
NIv2
|
fs_opt
| 9
|
train
|
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
Let me give you an example: jump left
The answer to this example can be: I_TURN_LEFT I_JUMP
Here is why: The agent must first turn left and then jump in order to jump to the left.
OK. solve this:
walk around right twice and walk opposite right twice
Answer:
|
I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_WALK
|
task126_scan_structured_text_generation_command_action_all
|
NIv2
|
fs_opt
| 8
|
train
|
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
[EX Q]: look around left twice and walk opposite left
[EX A]: I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_WALK
[EX Q]: look around right after jump around right thrice
[EX A]: I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK
[EX Q]: walk around right thrice after jump right
[EX A]:
|
I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK
|
task126_scan_structured_text_generation_command_action_all
|
NIv2
|
fs_opt
| 6
|
train
|
Q: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
run right after run around right twice
A:
|
I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN
|
task126_scan_structured_text_generation_command_action_all
|
NIv2
|
zs_opt
| 7
|
train
|
Q: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
look right thrice and look left
A:
|
I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_LEFT I_LOOK
|
task126_scan_structured_text_generation_command_action_all
|
NIv2
|
zs_opt
| 7
|
train
|
Definition: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
Input: run right thrice and look around left
Output:
|
I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK
|
task126_scan_structured_text_generation_command_action_all
|
NIv2
|
zs_opt
| 2
|
test
|
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
jump opposite right twice and jump opposite right twice
I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP
walk after turn left thrice
I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_WALK
jump right
|
I_TURN_RIGHT I_JUMP
|
task126_scan_structured_text_generation_command_action_all
|
NIv2
|
fs_opt
| 0
|
validation
|
Detailed Instructions: In this task, we ask you to write an answer to a question that involves events that may be stationary (not changing over time) or transient (changing over time). For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hungry" contains a transient event since it will remain true for a short period of time. Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
Problem:Sentence: In the aftermath of Massaga and Ora, numerous Assakenians fled to the fortress of Aornos.
Question: Was the fortress built before the aftermath of Massaga and Ora?
Solution:
|
yes.
|
task007_mctaco_answer_generation_transient_stationary
|
NIv2
|
zs_opt
| 8
|
train
|
In this task, we ask you to write an answer to a question that involves events that may be stationary (not changing over time) or transient (changing over time). For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hungry" contains a transient event since it will remain true for a short period of time. Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
[Q]: Sentence: By the beginning of the fourth century the Algarve had a bishop in place, based in Faro.
Question: Did the bishop's position remain open after his tenure?
[A]: no.
[Q]: Sentence: Some of the people who took advantage of her through a questionable loan program were sent to jail.
Question: Are they still in jail today?
[A]: yes.
[Q]: Sentence: Joe did and after he got a bandage on his arm, he and his father rode in the field on the tractor.
Question: Will Joe and his father be riding in the field tomorrow?
[A]:
|
no.
|
task007_mctaco_answer_generation_transient_stationary
|
NIv2
|
fs_opt
| 5
|
train
|
Definition: In this task, we ask you to write an answer to a question that involves events that may be stationary (not changing over time) or transient (changing over time). For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hungry" contains a transient event since it will remain true for a short period of time. Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
Input: Sentence: Like all energy, gravitational potential energy has the ability to do work.
Question: Can gravitational potential energy do work tomorrow?
Output:
|
yes.
|
task007_mctaco_answer_generation_transient_stationary
|
NIv2
|
zs_opt
| 2
|
train
|
In this task, we ask you to write an answer to a question that involves events that may be stationary (not changing over time) or transient (changing over time). For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hungry" contains a transient event since it will remain true for a short period of time. Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
Sentence: She told me that she was heading for a drink and slipped out of the crowd.
Question: Was she intoxicated?
|
not at all.
|
task007_mctaco_answer_generation_transient_stationary
|
NIv2
|
zs_opt
| 0
|
train
|
In this task, we ask you to write an answer to a question that involves events that may be stationary (not changing over time) or transient (changing over time). For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hungry" contains a transient event since it will remain true for a short period of time. Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
Sentence: Church is brought back to life , but is an evil shell of himself .
Question: Will Church live forever?
|
no.
|
task007_mctaco_answer_generation_transient_stationary
|
NIv2
|
zs_opt
| 0
|
train
|
In this task, we ask you to write an answer to a question that involves events that may be stationary (not changing over time) or transient (changing over time). For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hungry" contains a transient event since it will remain true for a short period of time. Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
Q: Sentence: Peter wanted to show off his bark, but he was too tired.
Question: Was Peter still tired after he slept the night?
A:
|
no.
|
task007_mctaco_answer_generation_transient_stationary
|
NIv2
|
zs_opt
| 4
|
train
|
In this task, we ask you to write an answer to a question that involves events that may be stationary (not changing over time) or transient (changing over time). For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hungry" contains a transient event since it will remain true for a short period of time. Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
Input: Consider Input: Sentence: John finds a letter addressed to him , with the word `` Breathe '' written on it .
Question: Was John still reading the word "breathe" the next week?
Output: no.
Input: Consider Input: Sentence: Joe did and after he got a bandage on his arm, he and his father rode in the field on the tractor.
Question: Will Joe and his father be riding in the field tomorrow?
Output: no.
Input: Consider Input: Sentence: At 9:21, it advised the Dulles terminal control facility, and Dulles urged its controllers to look for primary targets.
Question: Were the controller already looking for primary targets before being urged to do so?
|
Output: yes.
|
task007_mctaco_answer_generation_transient_stationary
|
NIv2
|
fs_opt
| 2
|
train
|
instruction:
In this task, we ask you to write an answer to a question that involves events that may be stationary (not changing over time) or transient (changing over time). For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hungry" contains a transient event since it will remain true for a short period of time. Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
question:
Sentence: California was first to require smog checks for clean air, pass anti-tobacco initiatives and bike helmets laws.
Question: Are the laws still followed in California?
answer:
yes.
question:
Sentence: When our cars burn gasoline in their engines, it is converted into motion and heat.
Question: Is an engine burning gasoline indefinitely?
answer:
no.
question:
Sentence: From Hunter Huss, she moved on to pursue a degree at Pfeiffer University in Misenheimer.
Question: Is she still a student at Pfeiffer University?
answer:
|
no.
|
task007_mctaco_answer_generation_transient_stationary
|
NIv2
|
fs_opt
| 9
|
train
|
In this task, we ask you to write an answer to a question that involves events that may be stationary (not changing over time) or transient (changing over time). For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hungry" contains a transient event since it will remain true for a short period of time. Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
Example input: Sentence: Jack played basketball after school, after which he was very tired.
Question: Was Jack still tired the next day?
Example output: no.
Example explanation: Typically fatigue after playing in school goes away the next day.
Q: Sentence: They piloted the explosives-laden boat alongside the USS Cole, made friendly gestures to crew members, and detonated the bomb.
Question: Will they be detonating bombs tomorrow?
A:
|
no.
|
task007_mctaco_answer_generation_transient_stationary
|
NIv2
|
fs_opt
| 3
|
test
|
Teacher:In this task, we ask you to write an answer to a question that involves events that may be stationary (not changing over time) or transient (changing over time). For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hungry" contains a transient event since it will remain true for a short period of time. Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
Teacher: Now, understand the problem? Solve this instance: Sentence: Roberta Adams skipped the thick how-to guide on child-custody forms and sat down at a computer at the Lamoreaux Justice Center in Orange on Wednesday.
Question: Did Roberta stay in Orange?
Student:
|
no.
|
task007_mctaco_answer_generation_transient_stationary
|
NIv2
|
zs_opt
| 6
|
validation
|
instruction:
The provided file includes inquiries about restaurants in Italian, 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:
dove posso trovare il "wawa" più vicino?
answer:
where can i find the closest " wawa " ?
question:
qual è l'intervallo di prezzo di " pizza ranch "?
answer:
what is the price range for " pizza ranch " ?
question:
qual è l'intervallo di prezzo di " noodle express "?
answer:
|
what is the price range for " noodle express " ?
|
task255_spl_translation_it_en
|
NIv2
|
fs_opt
| 9
|
train
|
The provided file includes inquiries about restaurants in Italian, 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: cerca ristoranti " vegan " a " lakeland , fl " con almeno 0 recensioni
Answer: search for " vegan " restaurants in " lakeland , fl " with at least 0 reviews
Question: cerca il più vicino ristorante " wendy 's ".
Answer: search for the nearest " wendy 's " restaurant ?
Question: cerca i ristoranti " american " nelle vicinanze.
Answer:
|
look for " american " restaurants close by .
|
task255_spl_translation_it_en
|
NIv2
|
fs_opt
| 7
|
train
|
The provided file includes inquiries about restaurants in Italian, 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: Consider Input: dimmi il codice postale di " red robin ".
Output: tell me the postal code for " red robin " .
Input: Consider Input: dimmi l'indirizzo del ristorante " chinese " " flo 's " a " scottsdale , arizona ".
Output: tell me the location of " flo 's " " chinese " restaurant in " scottsdale , arizona " .
Input: Consider Input: mostra la descrizione del ristorante con una valutazione di 5 più vicino.
|
Output: show description of the closest 5 star restaurant .
|
task255_spl_translation_it_en
|
NIv2
|
fs_opt
| 2
|
train
|
The provided file includes inquiries about restaurants in Italian, 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.
mostrami ristoranti " mexican ".
|
show me " mexican " restaurants .
|
task255_spl_translation_it_en
|
NIv2
|
zs_opt
| 0
|
train
|
Detailed Instructions: The provided file includes inquiries about restaurants in Italian, 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.
Q: puoi fare una ricerca sul ristorante " thai foon "?
A:
|
could you preform a search for the restaurant , " thai foon " ?
|
task255_spl_translation_it_en
|
NIv2
|
zs_opt
| 9
|
train
|
Teacher:The provided file includes inquiries about restaurants in Italian, 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: qual è la valutazione di quel " mcdonald ' "?
Student:
|
what is the rating of that " mcdonald ' " ?
|
task255_spl_translation_it_en
|
NIv2
|
zs_opt
| 6
|
train
|
The provided file includes inquiries about restaurants in Italian, 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: ci sono ristoranti " italian " nelle vicinanze con valutazioni di 3 stelle?
Solution is here: are there any " italian " restaurants nearby with 3 star reviews ?
Explanation: The translation correctly preserves " italian " entity and is accurate
Now, solve this: cerca ristoranti " italian " con almeno 1 recensioni.
Solution:
|
search for " italian " restaurants with at least 1 reviews .
|
task255_spl_translation_it_en
|
NIv2
|
fs_opt
| 6
|
train
|
The provided file includes inquiries about restaurants in Italian, 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.
Q: cerca " mcdonald 's "
A: search for " mcdonald 's "
****
Q: c'è un ristorante nell'area del cap "19101"?
A: is there a restaurant in zipcode " 19101 " ?
****
Q: mostrami le recensioni scritte per il "cracker barrel" quest'anno.
A:
|
please show me reviews that were written for " cracker barrel " this year .
****
|
task255_spl_translation_it_en
|
NIv2
|
fs_opt
| 4
|
train
|
Detailed Instructions: The provided file includes inquiries about restaurants in Italian, 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:quante recensioni con 1 stella ci sono per " peet 's coffee "?
Solution:
|
how many 1 star reviews are there for " peet 's coffee " ?
|
task255_spl_translation_it_en
|
NIv2
|
zs_opt
| 8
|
test
|
The provided file includes inquiries about restaurants in Italian, 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: ci sono ristoranti " italian " nelle vicinanze con valutazioni di 3 stelle?
A: are there any " italian " restaurants nearby with 3 star reviews ?
Rationale: The translation correctly preserves " italian " entity and is accurate
Q: qual è l'intervallo di prezzo di " noodle express "?
A:
|
what is the price range for " noodle express " ?
|
task255_spl_translation_it_en
|
NIv2
|
fs_opt
| 9
|
validation
|
Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Input: Command: eq { count { filter_less { all_rows ; weight ( lb ) ; 200 } } ; 4 }, interpretation: for the motor records of all rows , all of them fuzzily match to castor 4b .
Output:
|
no
|
task211_logic2text_classification
|
NIv2
|
zs_opt
| 3
|
train
|
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
See one example below:
Problem: Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
Solution: yes
Explanation: Here, the command and interpretion given for the command is correct that 3rd maximum should be selected from given table rows. Hence, the label is 'yes'.
Problem: Command: round_eq { avg { all_rows ; enrollment } ; 738 }, interpretation: the average of the enrollment record of all rows is 738 .
Solution:
|
yes
|
task211_logic2text_classification
|
NIv2
|
fs_opt
| 4
|
train
|
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
One example: Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
Solution is here: yes
Explanation: Here, the command and interpretion given for the command is correct that 3rd maximum should be selected from given table rows. Hence, the label is 'yes'.
Now, solve this: Command: eq { hop { argmax { all_rows ; attendance } ; game site } ; waldstadion }, interpretation: select the rows whose result record fuzzily matches to won . the number of such rows is 3 .
Solution:
|
no
|
task211_logic2text_classification
|
NIv2
|
fs_opt
| 6
|
train
|
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Example Input: Command: and { only { filter_less { filter_greater { all_rows ; points ; 60 } ; tries for ; 60 } } ; eq { hop { filter_less { filter_greater { all_rows ; points ; 60 } ; tries for ; 60 } ; club } ; kidwelly rfc } }, interpretation: the average of the points record of all rows is 11 .
Example Output: no
Example Input: Command: eq { count { filter_eq { all_rows ; directedby ; guy ferland } } ; 2 }, interpretation: select the rows whose directedby record fuzzily matches to guy ferland . the number of such rows is 2 .
Example Output: yes
Example Input: Command: eq { count { filter_eq { all_rows ; region ; kansai } } ; 2 }, interpretation: select the rows whose region record fuzzily matches to kansai . the number of such rows is 2 .
Example Output:
|
yes
|
task211_logic2text_classification
|
NIv2
|
fs_opt
| 3
|
train
|
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Input: Consider Input: Command: eq { hop { nth_argmax { all_rows ; runs ; 2 } ; batsmen } ; mark pettini jason gallian }, interpretation: select the rows whose class record fuzzily matches to p 2 . select the row whose quantity record of these rows is minimum . the year ( s ) built record of this row is 1886 .
Output: no
Input: Consider Input: Command: eq { count { filter_eq { all_rows ; position ; defensive tackle } } ; 2 }, interpretation: select the rows whose position record fuzzily matches to defensive tackle . the number of such rows is 2 .
Output: yes
Input: Consider Input: Command: all_eq { all_rows ; venue ; skonto hall , riga }, interpretation: select the rows whose aspect record fuzzily matches to 16:9 . there is only one such row in the table . the channel record of this unqiue row is 26.1 .
|
Output: no
|
task211_logic2text_classification
|
NIv2
|
fs_opt
| 2
|
train
|
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
One example is below.
Q: Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
A: yes
Rationale: Here, the command and interpretion given for the command is correct that 3rd maximum should be selected from given table rows. Hence, the label is 'yes'.
Q: Command: eq { count { filter_eq { all_rows ; time of day ; afternoon } } ; 3 }, interpretation: select the rows whose time of day record fuzzily matches to afternoon . the number of such rows is 3 .
A:
|
yes
|
task211_logic2text_classification
|
NIv2
|
fs_opt
| 9
|
train
|
Teacher: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
Solution: yes
Reason: Here, the command and interpretion given for the command is correct that 3rd maximum should be selected from given table rows. Hence, the label is 'yes'.
Now, solve this instance: Command: most_eq { all_rows ; start source ; bbc sport }, interpretation: for the start source records of all rows , most of them fuzzily match to bbc sport .
Student:
|
yes
|
task211_logic2text_classification
|
NIv2
|
fs_opt
| 2
|
train
|
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
One example is below.
Q: Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
A: yes
Rationale: Here, the command and interpretion given for the command is correct that 3rd maximum should be selected from given table rows. Hence, the label is 'yes'.
Q: Command: eq { count { filter_eq { all_rows ; position ; wide receiver } } ; 2 }, interpretation: for the laps records of all rows , most of them are equal to 47 .
A:
|
no
|
task211_logic2text_classification
|
NIv2
|
fs_opt
| 9
|
train
|
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
One example is below.
Q: Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
A: yes
Rationale: Here, the command and interpretion given for the command is correct that 3rd maximum should be selected from given table rows. Hence, the label is 'yes'.
Q: Command: round_eq { sum { all_rows ; losses } ; 212 }, interpretation: the sum of the losses record of all rows is 212 .
A:
|
yes
|
task211_logic2text_classification
|
NIv2
|
fs_opt
| 9
|
test
|
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
See one example below:
Problem: Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
Solution: yes
Explanation: Here, the command and interpretion given for the command is correct that 3rd maximum should be selected from given table rows. Hence, the label is 'yes'.
Problem: Command: and { only { filter_eq { all_rows ; storyteller ; gary } } ; eq { hop { filter_eq { all_rows ; storyteller ; gary } ; - } ; 11 } }, interpretation: select the row whose date record of all rows is 5th minimum . the venue record of this row is guangzhou .
Solution:
|
no
|
task211_logic2text_classification
|
NIv2
|
fs_opt
| 4
|
validation
|
Problem: The protagonist Preetam ( ( ( Ganesh , on a visit to Eva Mall amidst a heavy wind , spots a pretty girl , Nandini . While staring at her , he inadvertently falls into a manhole . Nandini rescues him from the pit , but in the process loses her heart-shaped watch she had just bought . While accompanying his mother to Madikeri , Preetam confronts a man named Jaanu . Jaanu , who has been following Nandini , beats up Preetam thinking that he is in love with Nandini . Preetam , unaware that Jaanu has vowed not to allow any one near Nandini , trashes Jaanu and his gang in return . In Madikeri , Preetam meets Nandini unexpectedly . He identifies himself and expresses his love towards her and offers to tie the watch as an indication for their marriage . Nandini , who is already engaged rejects his request . Still , Preetam vows to marry Nandini if she meets him again . In the meantime , Preetam discovers that his host in Madikeri , Col. Subbayya is Nandini's father , who is pretty much deaf , and Nandini's marriage is a just a week away . Dejected , Preetam throws Nandini's heart-shaped watch away . But Nandini calls him over the phone and taunts him to return . Delighted , Preetam goes in search of her watch and brings it back . While searching it , he spots a rabbit , Which he calls Devadas , and brings it along with him . Since Nandini's friends are due to arrive from Mumbai for the marriage , Preetam takes Nandini to the railway station . The train from Mumbai is delayed by five hours , so Nandini and Preetam decide to visit a nearby hill-temple .
Question: "Who was present when Preetam was assaulted in Madikeri?"
Answer: "The pretty girl"
Answer: no
Problem: Registration fees for Illinois lawyers could jump as much as $49 a year if lawmakers adopt two separate measures to bolster pro-bono services and support for lawyers with drug and alcohol problems. The Illinois Supreme Court is pushing for legislation that would allow it to dedicate money raised through the fee hikes to legal services to the poor. The justices are floating a $42 increase to shore up financing for pro-bono work, as the normal funding mechanism for legal services has fallen short in recent years. Currently, support for non-profit legal aid groups comes from interest generated on the Lawyers' Trust Fund, which pools clients' money that attorneys hold for such matters as escrow funds. But low interest rates and a sagging economy mean there is less money being generated. After hours of discussion, the high court agreed that raising the registration fees would be the best way to address the declining revenues, Chief Justice Moses W. Harrison II said. The judges were reluctant to raise those fees but eventually decided that supporting probono services was important enough "and lawyers had a responsibility to contribute" to the cause, Harrison said. Last year, the high court raised the base fee for active attorneys to $180 from $140. Lawyers in their first three years of practice or who are inactive pay $90, and retired lawyers pay nothing. Legislation circulated by the high court's lobbyist specifies that the hike would apply to attorneys "paying full annual registration fees." In 2001, there were 57,392 active attorneys in Illinois and 74,311 on the full roll, according to the Attorney Registration and Disciplinary Commission. The hike would raise roughly $2.4 million. Last year, interest on the trust fund totaled $4.5 million, but service and handling fees consumed $538,000 of that amount. This year's returns are projected to be anywhere between $700,000 and $1 million short of that mark, said Ruth Ann Schmitt, the executive director of Lawyers Trust Fund of Illinois. Harrison said the fee hikes are designed only to counter the shortfall in interest income, not add to the total amount available. "Our legal services are already stretched to the breaking point," Schmitt said. "We have a tough time raising enough money to properly fund services that our clients need." Neither the Illinois State Bar Association nor The Chicago Bar Association has taken a stance on the proposed hikes.
Question: "Why did the high court raise the base fee for active attorneys to $180 from $140?"
Answer: "To fund raise for a new law scholarship"
Answer: no
Problem: He continued to lie in place, still breathing heavily. I tried to keep myself calm. Then, with a sigh, he said, "I have need of a certain stone that I once possessed. It would allow me to leave this bed, despite my current illness. My problem is that it was not made in this realm, but by a human, and only a human may handle it. The herb vendor will tell you where you can find it. If you would fetch me this stone, I would tell you what I can." "Of course we will fetch you the stone," Nepthys assured him. "You have our thanks." Outside, the thing at the herb cart nodded when we mentioned the stone. He told Nepthys the name of a woman who lived on a certain street, and we set off. When we reached the street, I expected some sort of temple, or a row of antiquaries, or at least a sleazy, black-market relics merchant. Instead, it looked like we were in the red-light district: women who probably wanted more than our money eyed us from the alleys. Nepthys didn't need to warn me not to speak to them. He took us to the door of a building like a short pagoda that had a sign hanging over it showing a face with hands uplifted, like a saint under G d's light, and handcuffed. Inside, the entrance room was hung with bright silks and scattered with velvet cushions. Sails of obscene orange and a green that insulted springtime hung draped across reds that might have been sensual elsewhere but here were only offensive. A large woman, similarly decorated, quickly drifted up to us. "Good evening, gentlemen," she said. "May I invite you to have a cup of tea?" "No, thank you," said Nepthys, "we regret that we cannot take up your kind offer. Are you the proprietor of this shop?" "Yes," answered the woman. "I am Madame Entera, at your service.
Question: "What does the speaker need to leave the bed?"
Answer: "A beautiful woman"
Answer:
|
no
|
super_glue_multirc_1_0_2
|
Flan2021
|
fs_noopt
| 6
|
train
|
Adrienne Saunders is happily married to her art dealer husband , Jack . They have a daughter named Mary . Adrienne hears from a friend that she thought she saw Jack in town when he claimed to be on an out of town business trip . Adrienne confronts him , but he denies being in town , and their lives continue . Soon after a museum curator is mysteriously murdered , and a relic that Jack bought for the museum is revealed to be a fake . Jack is placed under suspicion , and then Adrienne receives word from the police that Jack perished in a car accident . In trying to wrap up Jack 's affairs , Adrienne begins to suspect that her husband had switched identities with a high school classmate , Frank Sullivan . When she sees a high school yearbook picture of her husband attributed to Sullivan , she is convinced . She tracks down a relative of Saunders , who confirms that Frank and Jack were inseparable in high school . After Jack died , the relative never saw Frank again . She explained that Frank 's father was an alcoholic and that his mother worked as a toll booth operator . She directs Adrienne to Frank 's mother , who lives in a rundown apartment in Brooklyn . Frank 's mother bitterly receives the news that she has a granddaughter , telling Adrienne that Frank was always selfish and that he never looked in on her . A stalker lurks at Adrienne 's loft . He comes in to Adrienne 's bed while she is asleep and caresses her . He watches Mary , who is spooked by the man in her room at night .
Choose your answer: According to the above paragraph, the correct answer to the question "How does the yearbook confirm Adrienne's doubt about her husband's identity?" is "Adrienne doubts that her husband Jack had switched identities with high school classmate, Frank Sullivan which she confirms after seeing the yearbook"?
Options are:
[A]. no;
[B]. yes;
|
[B].
|
super_glue_multirc_1_0_2
|
Flan2021
|
zs_opt
| 5
|
train
|
For much of the world, the Algarve is synonymous with Portugal, yet the Portuguese will tell you the exact opposite: the region has little in common with the rest of the country. The southern stretch of coast is more reminiscent of a North African landscape than a European one. It has no cosmopolitan cities, like Lisbon and Porto, which are farther north. Most of Portugal is known for quaint towns, medieval castles, and grand palaces. The Algarve is more recognizable for impenetrable blocks of tourist apartments, hotels, and meticulously manicured golf courses. And beaches. Think Algarve and the mind pictures long, glorious stretches of golden sands, secluded coves framed by odd ochre-colored rock formations, and deep green waters. With about 160 km (100 miles) of coastline, Portugal's southern province is one of Europe's premier beach destinations. The occasionally chilly ocean is the Atlantic, but the Algarve has a sultry Mediterranean feel. Its consistent climate is the best in Portugal, and one of the kindest in the world: more than 250 days of sunshine a year — more than almost any other international resort area. The moderating effect of the Gulf Stream produces a fresh springtime breeze throughout winter, and in late January and February, white almond blossoms blanket the fields. In summer the heat is intense but rarely unbearable, and regardless, beautiful beaches and innumerable pools are always just a dive away. Magnificent year-round weather has made the Algarve a huge destination for sporting vacations. Superb golf facilities abound — several with tees dramatically clinging to cliffs and fairways just skirting the edge of the ocean — and horseback riding, tennis, big-game fishing, sailing, and windsurfing are immensely popular. Sports, beaches and hospitable weather — not to mention easily organized package vacations — are surely the reasons the Algarve receives as many visitors as the rest of Portugal in its entirety. But it's not just international tourists that descend on the Algarve; many Portuguese from Lisbon and elsewhere in the north have holiday homes and spend their summer vacations here. The coast is neatly divided into the rugged Barlavento to the west and the flat beauty of Sotavento to the east. West is where you'll find the famous orange cliffs and surreal eroded rock stacks.
Question: "In which direction is the Algarve coastline from Lisbon?"
Answer: "North"
Is this answer correct?
Possible answers:
a). no
b). yes...I think the answer is
|
a).
|
super_glue_multirc_1_0_2
|
Flan2021
|
zs_opt
| 2
|
train
|
Still untaken are several steps that required goodwill from local bar associations and others who had opposed the combination. "[I am] not a fan of Neal's," admitted John Peck, a former board member of the San Gabriel-Pomona Valley program and a Pasadena Bar Association board member. Peck says bad feelings still linger among Ailies of the old program who feel left out. "They really screwed us. We had a good program," Peck said. An observer familiar with the reconfiguration debate who requested anonymity wondered why Dudovitz had not spent more time mending fences. "He ought to be bending over backwards for reconciliation, but if you want to do impact work and people in the San Gabriel Valley want direct services, you have to accommodate that or change your approach," the observer said. "Neal would never consider doing that." More than a year after he officially incorporated the San Gabriel-Pomona Valley, Dudovitz had not placed a local resident on the board of Neighborhood Legal Services or made the rounds of the private legal community to recruit the volunteer lawyers. "Our emphasis has been on having our potential clients know about us and deliver services to them," Dudovitz said. "We have done that spectacularly." He did not hire any of the old program's nine lawyers and has yet to permanently place any of his 18 new hires in the San Gabriel-Pomona Valley. The lack of a legal aid presence in Pomona prompted the bar association and court officials to start their own once-monthly family law clinic. After learning of the effort, Dudovitz sent personnel to staff the clinic for three hours per week and is helping to write a grant application to fund a self-help kiosk for Pomona patterned on the center he pioneered in Van Nuys. The help, although late, has earned Dudovitz some appreciation. "There has been a transition and [the clinic] has helped to fill some void," said Deni Butler, administrator for the Eastern District Superior Court. "But we are working together quite nicely contrary to what the other side issue is." Scott Wheeler, president of the Eastern Bar Association of Los Angeles and an ally of the old program, said he mobilized his 200 members to staff the clinic after watching the ranks of unserved poor grow over the past year.
Choose from options: Based on the paragraph, does the response "Having their potential clients know about them" correctly answer the question "What did Dudovitz feel he had done spectacularly?"?
Possible answers:
i. no.
ii. yes.
|
ii.
|
super_glue_multirc_1_0_2
|
Flan2021
|
zs_opt
| 4
|
train
|
Chinese Influences: The Japanese were forced out of the Korean peninsula in the sixth century, but not before the Koreans had bequeathed to the Yamato court copies of the sacred images and scriptures of Chinese Buddhism. Just as Christianity introduced Mediterranean culture into northern Europe, so Buddhism brought Chinese culture into Japanese society. Throughout the seventh and eighth centuries numerous Japanese monks, scholars, and artists made the perilous trip west across the Sea of Japan to study Chinese religion, history, music, literature, and painting — later to be brought back for further development in Japan. An outstanding figure of this time was Prince Shotoku, who in 604 developed the "Seventeen-Article Constitution," outlining a code of human conduct and the ideals of state as a basic law for the nation. He also established relations with the Sui dynasty in China. Through him, the Japanese imperial court developed Chinese patterns of centralized government, with its formal bureaucracy of eight court ranks. The Chinese calendar was used to calculate the year of Japan's foundation by counting back the 1,260 years of the Chinese cosmological cycle. Thus, 660 b.c. is still the official date celebrated nationwide. At this early stage in its history Japan was already (for the most part) only nominally ruled by the emperor. De facto power was exercised by the militarily and economically strongest family. The Sogas had promoted Buddhism as an imperially sanctioned counterweight to the native Shinto religion, along with the new Chinese customs, to weaken the influence of their more conservative rivals. But they in turn were ousted in a.d. 645 by Nakatomi Kamatari, founder of the great Fujiwara clan, which was to rule Japanese affairs for hundreds of years and provide prominent advisers to the emperor even up to the 19th century.
After reading the above, is "Artists" the correct answer to the question "Who established relations with China's Sui Dynasty?"?
Pick from:
--no.
--yes.
|
no
|
super_glue_multirc_1_0_2
|
Flan2021
|
zs_opt
| 6
|
train
|
Paragraph: Mechanical energy is a combination of the energy of motion or position. This type of energy describes objects that are moving or could move. A moving ball can have energy from motion. An arrow can also have the energy of motion. Both are types of mechanical energy. Can you think of some other examples? Where does the energy of motion come from? It comes from the energy created by position. This energy is stored energy. This means it is not moving yet, but it has the potential to move. How can you store energy? The arrow gains energy from the drawn bow. As the arrow is released, the bow releases its stored energy and puts the arrow into motion. Can you think of some other ways to store energy using position?
Question: "What type of energy do a moving arrow or ball have?"
Answer: "Mechanical"
Based on the paragraph, is this answer correct
|
yes
|
super_glue_multirc_1_0_2
|
Flan2021
|
zs_noopt
| 3
|
train
|
Input: In chapters 3 and 4 we described how the U.S. government adjusted its existing agencies and capacities to address the emerging threat from Usama Bin Laden and his associates. After the August 1998 bombings of the American embassies in Kenya and Tanzania, President Bill Clinton and his chief aides explored ways of getting Bin Laden expelled from Afghanistan or possibly capturing or even killing him. Although disruption efforts around the world had achieved some successes, the core of Bin Laden's organization remained intact. President Clinton was deeply concerned about Bin Laden. He and his national security advisor, Samuel "Sandy" Berger, ensured they had a special daily pipeline of reports feeding them the latest updates on Bin Laden's reported location. In public, President Clinton spoke repeatedly about the threat of terrorism, referring to terrorist training camps but saying little about Bin Laden and nothing about al Qaeda. He explained to us that this was deliberate-intended to avoid enhancing Bin Laden's stature by giving him unnecessary publicity. His speeches focused especially on the danger of nonstate actors and of chemical and biological weapons. As the millennium approached, the most publicized worries were not about terrorism but about computer breakdowns-the Y2K scare. Some government officials were concerned that terrorists would take advantage of such breakdowns. On November 30, 1999, Jordanian intelligence intercepted a telephone call between Abu Zubaydah, a longtime ally of Bin Laden, and Khadr Abu Hoshar, a Palestinian extremist. Abu Zubaydah said, "The time for training is over." Suspecting that this was a signal for Abu Hoshar to commence a terrorist operation, Jordanian police arrested Abu Hoshar and 15 others and informed Washington. One of the 16, Raed Hijazi, had been born in California to Palestinian parents; after spending his childhood in the Middle East, he had returned to northern California, taken refuge in extremist Islamist beliefs, and then made his way to Abu Zubaydah's Khaldan camp in Afghanistan, where he learned the fundamentals of guerrilla warfare. He and his younger brother had been recruited by Abu Hoshar into a loosely knit plot to attack Jewish and American targets in Jordan. After late 1996, when Abu Hoshar was arrested and jailed, Hijazi moved back to the United States, worked as a cabdriver in Boston, and sent money back to his fellow plotters. After Abu Hoshar's release, Hijazi shuttled between Boston and Jordan gathering money and supplies. With Abu Hoshar, he recruited inTurkey and Syria as well as Jordan; with Abu Zubaydah's assistance, Abu Hoshar sent these recruits to Afghanistan for training.
"What was the name of the terrorist born in California that Jordanian police arrested with 15 others?" is "Khadr Abu Hoshar"?
Output: no
Input: Ace , a wannabe rock star , is on his way to a concert of the band Guitar Wolf when space aliens invade the Earth . As a result the dead rise to their feet in the countryside setting of Asahi , Japan , with an appetite for flesh . Enlisting the help of his rock 'n roll blood brother Guitar Wolf , Ace and the members of the band get entangled in many misadventures with crazy rock managers in very tight shorts , transsexuals , naked women shooting guns in the shower , and bloodthirsty zombies ready to tear them apart . Leather jackets , loud over-modulated music , laser guitar picks , motorcycles , guns , muscle cars , and fire abound . Guitar Wolf , a Japanese trio signed to Matador Records in the US and self-proclaimed coolest rock band in the world star as the well-coiffed heroes . It is also a love story , between Ace and Tobio , a trans woman . The music , in a garage punk vein , plays an important role in the film . It features music from Greg Cartwright of Reigning Sound and The Oblivians . His 1997 song `` Twice as Deep '' by Greg Oblivian & the Tip Tops is featured . This film is similar to another movie by a Spanish punk group , La matanza can bal de los garrulos lis rgicos produced by Siniestro Total
"Why and where do the dead rise?" is "Tokyo, Japan"?
Output: no
Input: In the popular mind, the history of Hong Kong, long the entryway to China for Westerners, begins in 1841 with the British occupation of the territory. However, it would be wrong to dismiss the long history of the region itself. Archaeologists today are working to uncover Hong Kong's past, which stretches back thousands of years. You can get a glimpse into that past at Lei Cheng Uk Museum's 1,600-year-old burial vault on the mainland just north of Kowloon. In 1992, when construction of the airport on Chek Lap Kok was begun, a 2,000-year-old village, Pak Mong, was discovered, complete with artifacts that indicated a sophisticated rural society. An even older Stone Age site was discovered on Lamma Island in 1996. While Hong Kong remained a relative backwater in early days, nearby Guangzhou (Canton) was developing into a great trading city with connections in India and the Middle East. By a.d. 900, the Hong Kong islands had become a lair for pirates preying on the shipping in the Pearl River Delta and causing a major headache for burgeoning Guangzhou; small bands of pirates were still operating into the early years of the 20th century. In the meantime, the mainland area was being settled by incomers, the "Five Great Clans": Tang, Hau, Pang, Liu, and Man. First to arrive was the Tang clan, which established a number of walled villages in the New Territories that still exist today. You can visit Kat Hing Wai and Lo Wai, villages with their walls still intact. Adjacent to Lo Wai is the Tang Chung Ling Ancestral Hall, built in the 16th century, which is still the center of clan activities. The first Europeans to arrive in the Pearl River Delta were the Portuguese, who settled in Macau in 1557 and for several centuries had a monopoly on trade between Asia, Europe, and South America. As Macau developed into the greatest port in the East, it also became a base for Jesuit missionaries; it was later a haven for persecuted Japanese Christians. While Christianity was not a great success in China, it made local headway, evidenced today by the numerous Catholic churches in Macau's historic center. Intermarriage with the local Chinese created a community of Macanese, whose culture can still be seen in Macau's architecture and cuisine.
"Why did traders from Canton have problems in the Pearl River Delta?" is "Because of the pirates"?
Output:
|
yes
|
super_glue_multirc_1_0_2
|
Flan2021
|
fs_noopt
| 8
|
train
|
(CNN) -- Horror-meister, Stephen King calls George Pelecanos "perhaps the greatest living American crime writer." His stories are set in Pelecanos' hometown of Washington, D.C., but this is not the side of the U.S. capitol that you see portrayed on TV with white marble monuments, lawyers and lobbyists. Pelecanos is more interested in working families struggling to get by, the racial tensions in its ethnic neighborhoods and the low-lifes on the edges. His crime-writing peers call Pelecanos the "undisputed poet" of Washington's gritty side. The best-selling and award-winning author is out this week with his 17th and latest novel, "The Cut." It's the first in a new series featuring Iraq war veteran and private investigator Spero Lucas. When he's not working for a Washington defense attorney, Lucas recovers stolen property for a 40% cut. Now, a high-profile crime boss hires Lucas to find out who's been stealing from him, and it could turn out to be Lucas' biggest payday or an untimely end. While Pelecanos made his bones in the noir tradition, there's a definite "Western" feel to "The Cut." The new novel takes place in a morally gray and often violent world. It's peppered with pitch-perfect dialogue and captures the sights, sounds and taste of Washington in rich detail. In short, Pelecanos reads like the real deal. Pelecanos knows a thing or two about capturing the authenticity of urban America with an ethnically and socially diverse cast. In addition to his success as a novelist, Pelecanos is a producer and writer for HBO's New Orleans-set, "Treme." He was previously a producer and Emmy-nominated writer on the hit series "The Wire" and the miniseries "The Pacific." Read an excerpt from "The Cut" CNN recently spoke to Pelecanos about his new novel. The following is an edited transcript. CNN: Tell me more about your new character, Spero Lucas.
Question: "Who is the protagonist of the new book "The Cut" by George Pelecanos?"
Response: "Spero Lucas"
Based on the paragraph, is the response to the question is factually correct?
|
yes
|
super_glue_multirc_1_0_2
|
Flan2021
|
zs_noopt
| 1
|
train
|
Problem: Joey got a German Shepherd for his birthday present. He had never had any pets before, but was always excited to see the other dogs and cats in his neighborhood. Since his birthday was in June, he spent a lot of time playing outside with his new puppy, which he named Max. Max and Joey would often run through fields in a game of chase. They also liked to go through the small forest behind the house, making a game of hide and seek. They never went near the lake because Joey was afraid of water. One day, Max hid a little too well and Joey couldn't find him. Joey spent the afternoon looking for his German Shepherd where they often played, like the field and forest. Joey was a shy boy who often read by himself, and Max was his best friend. After dinner, he went to look for Max one last time before he had to take a bath and go to bed. He heard some barking on the next street, so he ran to see if it was his puppy. Sure enough, he saw Max playing with a poodle. The dogs were having so much fun. Joey brought Max home, happy that he had his puppy back. Max seemed to be happy to have his human by his side as well as a new doggy friend. All summer long, Joey took Max to the poodle's house so they could play without having to worry about losing his present.
Question: "What are the games Joey and Max played often?"
Answer: "Chess"
OPTIONS:
- no
- yes
Answer: no
Problem: Right after the Pentagon was hit, NEADS learned of another possible hijacked aircraft. It was an aircraft that in fact had not been hijacked at all. After the second World Trade Center crash, Boston Center managers recognized that both aircraft were transcontinental 767 jetliners that had departed Logan Airport. Remembering the "we have some planes" remark, Boston Center guessed that Delta 1989 might also be hijacked. Boston Center called NEADS at 9:41 and identified Delta 1989, a 767 jet that had left Logan Airport for Las Vegas, as a possible hijack. NEADS warned the FAA's Cleveland Center to watch Delta 1989. The Command Center and FAA headquarters watched it too. During the course of the morning, there were multiple erroneous reports of hijacked aircraft. The report of American 11 heading south was the first; Delta 1989 was the second. NEADS never lost track of Delta 1989, and even ordered fighter aircraft from Ohio and Michigan to intercept it. The flight never turned off its transponder. NEADS soon learned that the aircraft was not hijacked, and tracked Delta 1989 as it reversed course over Toledo, headed east, and landed in Cleveland. But another aircraft was heading toward Washington, an aircraft about which NORAD had heard nothing: United 93. United Airlines Flight 93 FAA Awareness. At 9:27, after having been in the air for 45 minutes, United 93 acknowledged a transmission from the Cleveland Center controller. This was the last normal contact the FAA had with the flight. Less than a minute later, the Cleveland controller and the pilots of aircraft in the vicinity heard "a radio transmission of unintelligible sounds of possible screaming or a struggle from an unknown origin." The controller responded, seconds later: "Somebody call Cleveland?"This was followed by a second radio transmission, with sounds of screaming.
Question: "Which flight did NEADS think was hijacked right after the Pentagon was hit?"
Answer: "American 11"
OPTIONS:
- no
- yes
Answer: no
Problem: The explosion, while killing one of the Cossacks and seriously wounding the driver and people on the sidewalk, had only damaged the bulletproof carriage, a gift from Napoleon III of France. The emperor emerged shaken but unhurt. Rysakov was captured almost immediately. Police Chief Dvorzhitsky heard Rysakov shout out to someone else in the gathering crowd. The surrounding guards and the Cossacks urged the emperor to leave the area at once rather than being shown the site of the explosion. Nevertheless, a second young member of the Narodnaya Volya, Ignacy Hryniewiecki, standing by the canal fence, raised both arms and threw something at the emperor's feet. He was alleged to have shouted, "It is too early to thank God". Dvorzhitsky was later to write:
Question: "Was the Emperor hurt when the explosion damaged his carriage?"
Answer: "Surrounding guards"
OPTIONS:
- no
- yes
Answer:
|
no
|
super_glue_multirc_1_0_2
|
Flan2021
|
fs_opt
| 6
|
test
|
Fossils give clues about major geological events. Fossils can also give clues about past climates. Fossils of ocean animals on the top of a mountain? Ocean animals have been found on the Earths tallest mountain. Its hard to believe, but it is true. These fossils were found at the top of Mt. Everest. Mt. Everest is the highest mountain on Earth. These fossils showed that this entire area was once at the bottom of a sea. It can only mean that Mt. Everest was uplifted. In fact, the entire Himalaya mountain range was raised. It was forced up from the collision of two continents. Fossils of plants are found in Antarctica. Now, Antarctica is almost completely covered with ice. Plants do not grow in Antarctica. According to fossils, they once did. This means that Antarctica was once much warmer than it is now. These fossils tell us about Antarcticas past climate.
What question would one ask from this paragraph?
QUESTION: What kind of fossils were found in the Himalayas?
Convicted murderer Seth Baxter awakens chained to a table beneath a pendulum blade . A videotape informs him that crushing his hands between the presses will release him ; he does so , but the blade still swings down and violently cuts him in half , while someone watches through a hole in the wall . The scene cuts to Agent Peter Strahm , who kills Jeff Denlon in self-defense and is sealed in the sickroom . He finds a hidden passage with a tape recorder that warns him to stay in the sickroom , but ignores it . He is attacked by a pig-masked figure in the passage and awakens with his head sealed in a box slowly filling with water , Which he survives by performing a tracheotomy using a pen . Outside the plant , Detective Mark Hoffman delivers Corbett Denlon to the police and claims they are the only survivors , and is shocked when Strahm is brought out alive as well . Jill Tuck is met by John Kramer's attorney , who is administering his will . She is left a box and a videotape , in Which John stresses the importance of the box's contents . She opens it with a key hung around her neck and then leaves without disclosing its contents . In a memorial service held for David Tapp , Steven Sing , Allison Kerry , Eric Matthews , and Daniel Rigg , the five officers killed in action , Hoffman is promoted to detective lieutenant . He is informed of the death of Agent Lindsey Perez while taking Strahm's phone and goes to the hospital to meet Strahm , who says that Hoffman's name was Perez's last words .
What question would one ask from this paragraph?
QUESTION: Who is attacked by a pig-masked figure in the hidden passage?
Dr. Benjamin Stone is a hotshot young surgeon who longs to leave the drudgery of a Washington , D.C. emergency room and finally leaps at his chance at more money and less death as a plastic surgeon in Beverly Hills . On his last day , Ben's relationship with his co-workers is presumed to be anything but a warm one . None of his colleagues will join him for a drink and a cake in his honor has an iced portion of the phrase `` Good riddance , asshole '' sliced out . Ben's cross-country drive in a 1956 Porsche 356 Speedster is interrupted when he crashes in the rural hamlet of Grady , South Carolina . The crash damages the fence of local Judge Evans , who sentences him to community service at a nearby hospital . Ben offers to pay for the fence , but the stern judge increases his community service each time he talks back . Defeated , he reports to the hospital , where Nurse Packer humbles him by ordering him to clock in and out , as would a factory worker . Though upset , Ben quickly makes friends with Mayor Nick Nicholson , the town cafe's proprietor/head waitress , and Melvin , the local mechanic tasked with repairing Ben's car . Ben soon finds his clinic work to be much more laid-back than the emergency room . He has simple cases such as spots before the eyes , fishing hook impalings , and even reading mail for a young illiterate couple , whose baby he later delivers . The experience also humbles Ben when he mistreats a case of mitral valve regurgitation leading to late cyanosis in the child .
What question would one ask from this paragraph?
QUESTION: Did Ben have a job?
Patricia Cross and her boyfriend Larry Osborne , two students in a San Francisco school , become expelled for the publication of an off-campus underground paper . As a result , a philosophy professor , Dr. Jonathon Barnett , resigns his teaching position and decides to become an advocate for the counterculture youth movement and , specifically , the use of LSD . The hippies of the Haight-Ashbury district first see him as a hero and then as something even more . Dr. Barnett even makes an appearance on the Joe Pyne TV show to voice his support of the hippie community and the use of LSD . One scheming young man sees the opportunity to build Dr. Barnett as the head of a cult centered around the use of LSD . He hopes to earn profit from the users , Dr. Barnett's speeches known as `` happenings , '' and their lifestyles . At a massive LSD-fueled dance , Patricia begins to have a bad trip Which leads to an argument between her and Pat , ultimately splitting the couple up . After Patricia realizes that she's pregnant , Dr. Barnett advises her to have an abortion , ultimately leading to Patricia attempting suicide . However , Larry saves her and makes the destruction of Dr. Barnett's cult his primary objective . Larry shoots Dr. Barnett from the crowd at one of his massive speeches . As another hippie in attendance calms the audience and Elliot sees his new leader for their cult-like organization , Larry realizes that his assassination of Dr. Barnett simply made him a martyr for the hippie movement .
What question would one ask from this paragraph?
QUESTION:
|
What made Dr. Jonathon Barnett to resign his teaching position?
|
super_glue_multirc_1_0_2
|
Flan2021
|
fs_opt
| 4
|
validation
|
Instructions: A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: শ্রীলঙ্কায় বর্বর সন্ত্রাসবাদী হামলায় ক্ষোভ প্রকাশ করে শ্রী নাইডু বলেন, সঙ্কটের এই মুহূর্তে ভারত, শ্রীলঙ্কা সরকার এবং সেদেশের মানুষের পাশে আছে।
Output:
|
سری لنکا میں دہشت گردی کی وحشیانہ کارروائیوں پر ، جس میں متعدد بے گناہ افراد ہلاک ہوئے ہیں ، رنج کا اظہار کرتے ہوئے جناب نائیڈو نے کہا کہ مشکل کی اس گھڑی میں بھارت حکومت سری لنکا اور وہاں کے عوام کے ساتھ کھڑا ہے۔
|
task1069_pib_translation_bengali_urdu
|
NIv2
|
zs_opt
| 3
|
train
|
Given the task definition and input, reply with output. A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
শ্রী পুনিয়া’কে অভিনন্দন জানিয়ে প্রধানমন্ত্রী বলেছেন, এই জয় অসাধারণ।
|
وزیراعظم نے اپنی مبارکباد کے پیغام میں کہا ،’’ بجرنگ پونیا !
|
task1069_pib_translation_bengali_urdu
|
NIv2
|
zs_opt
| 5
|
train
|
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
[EX Q]: আমি আপনাদের সবাইকে ভারতের ত্রয়োদশ হাইড্রোকার্বন সম্মেলন, পেট্রোটেক ২০১৯- এ স্বাগত জানাতে পেরে আনন্দিত।
[EX A]: ہندوستان کے فلیگ شپ ہائیڈرو کاربن کانفرنس کے 13ویں ایڈیشن پیٹرو ٹیک-2019 میں آپ سبھی کا خیر مقدم کرکے مجھے بے حد خوشی ہو رہی ہے۔
[EX Q]: প্রত্যেক মানুষেরই পরিচ্ছন্ন সুলভ, সুষম এবং সমানভাবে শক্তি সরবরাহের সুযোগ পাওয়া দরকার।
[EX A]: لوگوں کو صاف ستھری، سستی، پائیدار اور منصفانہ توانائی کی سپلائی تک ہمہ گیر رسائی حاصل ہو۔
[EX Q]: কার্গিল বিজয় দিবসের ২০তম বর্ষপূর্তি উপলক্ষ্যে শ্রীনগরে যুদ্ধ স্মারকে রাষ্ট্রপতির শ্রদ্ধার্ঘ্য
[EX A]:
|
صدرجمہوریہ ہند جناب رام ناتھ کووندنے20ویں کرگل وجے دوس پر چنار کور (15ویں کور) کے جنگی یادگار پر خراج عقیدت پیش کیا
|
task1069_pib_translation_bengali_urdu
|
NIv2
|
fs_opt
| 6
|
train
|
TASK DEFINITION: A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
PROBLEM: মানবসম্পদ উন্নয়ন
SOLUTION: فروغ وسائل انسانی
PROBLEM: ২০১৮-১৯ অর্থবর্ষের ফেব্রুয়ারী পর্যন্ত কেন্দ্রীয় সরকারের মোট ব্যয়ের পরিমান দাঁড়িয়েছে ২১ লক্ষ ৮৮ হাজার ৮৩৯ কোটি টাকা।
SOLUTION: حکومت ہند کے ذریعہ کل اخراجات پر صرف کی گئی رقم21،88،839کروڑ روپے (89.
PROBLEM: প্রধানমন্ত্রী শ্রম যোগী মান-ধন (পিএম-এসওয়াইএম) যোজনা ১৫ই ফেব্রুয়ারি থেকে রূপায়ণ করা হবে
SOLUTION:
|
پردھان منتری شرم یوگی مان-دھن (پی ایم-ایس وائی ایم)15 فروری سے نافذ کیا جائے گا
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task1069_pib_translation_bengali_urdu
|
NIv2
|
fs_opt
| 8
|
train
|
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: আগামী কাল অর্থাৎ ১৬ জানুয়ারি রাজস্থানের বাঢ়মের জেলার পাচপাদরা’তে রাজস্থান তেল ও গ্যাস শোধনাগার প্রকল্পের সূচনা উপলক্ষে আয়োজিত এক অনুষ্ঠানে যোগ দেবেন প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদী।
Solution: وزیر اعظم سری نریندر مودی نے 16 جنوری کو راجستھان تیل اور گیس ریفائنریز کے آغاز میں راجستھان تیل اور گیس ریفائنری کے منصوبے کے آغاز کے موقع پر منعقد ایک فنکشن میں شرکت کی.
Explanation: Correct translation for given sentence. Input sentence means 'Prime Minister Sri Narendra Modi will attend a function organized on the occasion of the beginning of Rajasthan oil and gas refinery project in the beginning of Rajasthan oil and gas refineries in January 16th.' which is the same as the output sentence.
Problem: প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদী মঙ্গলবার (১৮ই ডিসেম্বর) মহারাষ্ট্র সফরে গিয়ে আবাসন ও নগরোন্নয়নের সঙ্গে যুক্ত গুরুত্বপূর্ণ কয়েকটি প্রকল্পের সূচনা করেন।
Solution:
|
وزیراعظم جناب نریندر مودی نے اپنے دورمہاراشٹر کے دوران آج ہاؤسنگ اور شہری نقل وحمل سے متعلق اہم پروجیکٹوں کی نقاب کشائی کی۔
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task1069_pib_translation_bengali_urdu
|
NIv2
|
fs_opt
| 4
|
train
|
Definition: A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: পণ্য ও পরিষেবা কর চালু হলে চা, কফি ও গুঁড়ো দুধের ওপর করের চাপ হ্রাস পাবে
Output:
|
اسی طرح دودھ پاؤڈر، چائے اور کافی پر مروجہ ٹیکس شرح7فیصد جبکہ ان اشیاء پر جی ایس ٹی شرح صرف5فیصد
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task1069_pib_translation_bengali_urdu
|
NIv2
|
zs_opt
| 2
|
train
|
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: আগামী কাল অর্থাৎ ১৬ জানুয়ারি রাজস্থানের বাঢ়মের জেলার পাচপাদরা’তে রাজস্থান তেল ও গ্যাস শোধনাগার প্রকল্পের সূচনা উপলক্ষে আয়োজিত এক অনুষ্ঠানে যোগ দেবেন প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদী।
Example solution: وزیر اعظم سری نریندر مودی نے 16 جنوری کو راجستھان تیل اور گیس ریفائنریز کے آغاز میں راجستھان تیل اور گیس ریفائنری کے منصوبے کے آغاز کے موقع پر منعقد ایک فنکشن میں شرکت کی.
Example explanation: Correct translation for given sentence. Input sentence means 'Prime Minister Sri Narendra Modi will attend a function organized on the occasion of the beginning of Rajasthan oil and gas refinery project in the beginning of Rajasthan oil and gas refineries in January 16th.' which is the same as the output sentence.
Problem: ডঃ আম্বেদকর জাতীয় স্মারক সৌধের উদ্বোধন আগামীকাল
|
Solution: وزیراعظم کل دہلی میں واقع علی پور روڈ پر
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task1069_pib_translation_bengali_urdu
|
NIv2
|
fs_opt
| 5
|
train
|
instruction:
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
question:
দুই নেতা ভারত – কানাডা দ্বিপাক্ষিক সম্প্ররক ছাড়াও আন্তর্জাতিক প্রবণতা এবং গণতান্ত্রিক দেশগুলির মধ্যে সহযোগিতা বাড়িয়ে তোলার মতো বিষয়গুলি নিয়ে নিজেদের মধ্যে মতবিনিময় করেন।
answer:
دونوں رہنماؤں نے بھارت ۔ کینیڈا تعلقات کی پیش رفت ، اہم عالمی رجحانات اور جمہوری ممالک کے درمیان تعاون کے موضوع پر تبادلہ خیالات کیا ۔
question:
‘মিশন শক্তি’ দুটি কারণে বিশেষ হয়ে উঠেছে:
answer:
مشن شکتی دو وجوہات سے خصوصیت کا حامل ہے۔
question:
অর্থনীতির চলতি ধারা ও ভবিষ্যৎ সম্ভাবনা মূল্যায়নের ভিত্তিতে আর্থিক নীতি কমিটি তাদের পঞ্চম দ্বি-মাসিক বিবৃতি বুধবার (৫ ডিসেম্বর, ২০১৮) প্রকাশ করেছে। তাতে রেপো রেট (যে সুদের হারে রিজার্ভ ব্যাঙ্ক বাণিজ্যিক ব্যাঙ্কগুলিকে ধার দেয়) সংক্রান্ত নীতি বজায় রেখে ৬.৫ শতাংশতে বেঁধে রাখার সিদ্ধান্ত গৃহীত হয়েছে।
answer:
|
نئی دہلی ،06دسمبر : مالیا ت سے متعلق پالیسی کمیٹی نے اپنا پانچواں پندرہ روزہ گوشوارہ جاری کردیاہے ۔ رواں اور مجموعی اقتصادی صورت حال کے بعد حاصل کئے گئے اندازے کی بنیاد پر فیصلہ کیاگیاہے کہ لکویڈئٹی ایڈجسٹمنٹ ، سہولت (ایل اے ایف ) کے تحت پالیسی کے ریپوریٹ میں کوئی تبدیلی کئے بغیراسے 6.
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task1069_pib_translation_bengali_urdu
|
NIv2
|
fs_opt
| 9
|
train
|
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Example Input: ভারত – রুশ সম্পর্কের সার্বিক উন্নয়ন দু’দেশের বৈদেশিক নীতিকে অগ্রাধিকার দেয়।
Example Output: وزیراعظم کے ولادی واستوک کے دورے کے دوران بھارت اورروس کا مشترکہ بیان
Example Input: ২০১৮-১৯ অর্থবর্ষের ফেব্রুয়ারী পর্যন্ত কেন্দ্রীয় সরকারের মোট ব্যয়ের পরিমান দাঁড়িয়েছে ২১ লক্ষ ৮৮ হাজার ৮৩৯ কোটি টাকা।
Example Output: حکومت ہند کے ذریعہ کل اخراجات پر صرف کی گئی رقم21،88،839کروڑ روپے (89.
Example Input: প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদী দেশের উত্তর-পূর্বাঞ্চলের অসাধারণ প্রাকৃতিক সৌন্দর্য্যের প্রশংসা করেছেন।
Example Output:
|
وزیراعظم نے، شمال مشرقی خطے کے حُسن اور خوبصورتی کی ستائش کی
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task1069_pib_translation_bengali_urdu
|
NIv2
|
fs_opt
| 3
|
test
|
Teacher:A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: নাবিক সাগর পরিক্রমার ছ’জন মহিলা আধিকারিককে রবিবার শুভেচ্ছা জানালেন প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদী
Student:
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وزیراعظم کی ناویکاساگر پر یکرما کی خواتین افسران کو نیک خواہشات، این ایم ایپ پر نیک خواہشات پیش کرنے کی درخواست کی
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task1069_pib_translation_bengali_urdu
|
NIv2
|
zs_opt
| 6
|
validation
|
This task is about translating a given English language sentence to French.
Q: The furthest point from the center of the Earth is not the tip of Mount Everest, like I might have thought, it's the tip of this mountain:
A:
|
Le point le plus éloigné du centre de la Terre n'est pas la pointe de l'Everest, comme j'aurais pu croire, c'est la pointe de cette montagne : le Mont Chimborazo en Équateur.
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task1689_qed_amara_translation
|
NIv2
|
zs_opt
| 4
|
train
|
Definition: This task is about translating a given English language sentence to French.
Input: Talán az a dolgunk, hogy megmentsük Amerika lelkét.
Output:
|
"Peut-être que notre mission est de sauver l'âme de l'Amérique.
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task1689_qed_amara_translation
|
NIv2
|
zs_opt
| 2
|
train
|
This task is about translating a given English language sentence to French.
Example input: How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
Example output: Comment devrions nous inscrire l'intention sur tous les objets que nous créons, sur toutes les circonstances que nous créons, sur tous les lieux que nous changeons ?
Example explanation: This is a good example because the English sentence has been translated correctly to French.
Q: (Maria Finoshina) Do you think France should reconsider its foreign policy ?
A:
|
(Maria Finoshina) Pensez-vous que la France doit reconsidérer sa politique étrangère ?
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task1689_qed_amara_translation
|
NIv2
|
fs_opt
| 3
|
train
|
Detailed Instructions: This task is about translating a given English language sentence to French.
See one example below:
Problem: How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
Solution: Comment devrions nous inscrire l'intention sur tous les objets que nous créons, sur toutes les circonstances que nous créons, sur tous les lieux que nous changeons ?
Explanation: This is a good example because the English sentence has been translated correctly to French.
Problem: And I think this is one of the most important things to us as humans.
Solution:
|
Je pense que c'est l'une des choses les plus importantes pour nous en tant qu'humains.
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task1689_qed_amara_translation
|
NIv2
|
fs_opt
| 4
|
train
|
This task is about translating a given English language sentence to French.
[Q]: And it's that choice that I want to focus on, because as we migrate lethal decision-making from humans to software, we risk not only taking the humanity out of war, but also changing our social landscape entirely, far from the battlefield.
[A]: Et c'est sur ce choix que je veux me concentrer, car en même temps que nous transférons, de l'homme vers le programme, la prise de décisions mortelles, nous ne risquons pas seulement d'enlever l'humanité à la guerre, mais aussi de modifier l'environnement social dans sa totalité, loin du champ de bataille.
[Q]: I don't understand that boy's death. Roger, do tell me something, How can somebody be this way?. A single person that cannot make?
[A]: je ne comprends pas la mort de ce garçon. comme conservez quelqu'un est-ce que ce chemin est?. une personne seule qui ne peut pas faire?
[Q]: We didn't care
[A]:
|
On s'en fichait
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task1689_qed_amara_translation
|
NIv2
|
fs_opt
| 5
|
train
|
This task is about translating a given English language sentence to French.
Example: How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
Example solution: Comment devrions nous inscrire l'intention sur tous les objets que nous créons, sur toutes les circonstances que nous créons, sur tous les lieux que nous changeons ?
Example explanation: This is a good example because the English sentence has been translated correctly to French.
Problem: So if the price of bread is going up by the minute, or by the hour, or the price of shoes are going up by the minute or by the hour.
|
Solution: Si le prix du pain augmente toutes les heures ou toutes les minutes, ou que le prix des chaussures augmente toutes les heures ou minutes,
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task1689_qed_amara_translation
|
NIv2
|
fs_opt
| 5
|
train
|
This task is about translating a given English language sentence to French.
Example: How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
Example solution: Comment devrions nous inscrire l'intention sur tous les objets que nous créons, sur toutes les circonstances que nous créons, sur tous les lieux que nous changeons ?
Example explanation: This is a good example because the English sentence has been translated correctly to French.
Problem: Why did he give these to you? <i>What is that?
|
Solution: Pourquoi te les a-t-il données ? <i> Qu'est-ce que c'est ?
|
task1689_qed_amara_translation
|
NIv2
|
fs_opt
| 5
|
train
|
Definition: This task is about translating a given English language sentence to French.
Input: Nobody wants to see Wilbur made into bacon at the end of that film.
Output:
|
Personne ne veut voir Wilbur transformé en jambon à la fin du film.
|
task1689_qed_amara_translation
|
NIv2
|
zs_opt
| 2
|
train
|
Given the task definition and input, reply with output. This task is about translating a given English language sentence to French.
So I'm using my own writings as a kind of testing ground for a book that has an interdependency between word and image as a kind of seductive force.
|
J'utilise donc mes propres écritures comme terrain d'essais pour un livre qui a une interdépendance entre les mots et les images comme une sorte de force séduisante.
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task1689_qed_amara_translation
|
NIv2
|
zs_opt
| 5
|
test
|
This task is about translating a given English language sentence to French.
Example Input: He's evangelical about it.
Example Output: Donc il est là tous les jours. Il prêche.
Example Input: When the skies are grey and all the doors are closing
Example Output: Quand le ciel est gris et que les portes sont fermées
Example Input: But what happened? Those I returned with from abroad, changed from a gentle lamb to a poisonous snake
Example Output:
|
Mais ensuite ?Ceux que j'ai ramenés de dehors se sont transformés de gentils agneaux en serpents venimeux
|
task1689_qed_amara_translation
|
NIv2
|
fs_opt
| 3
|
validation
|
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Input: Sentence 1: A black and white dog is herding a group of sheep on a dusty road. Sentence 2: The dog is leading the animals.
Output:
|
C
|
task190_snli_classification
|
NIv2
|
zs_opt
| 2
|
train
|
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Sentence 1: A happy couple sitting together. Sentence 2: An unhappy couple is walking through the park.
|
C
|
task190_snli_classification
|
NIv2
|
zs_opt
| 0
|
train
|
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
--------
Question: Sentence 1: A small group of soccer players are on a soccer field standing around while a player is looked at for injuries. Sentence 2: A group of soccer players are standing in a soccer field.
Answer: C
Question: Sentence 1: Three men, one with a fishing pole, are sitting on a sidewalk. Sentence 2: The man are fishing
Answer: N
Question: Sentence 1: A couple of army men playing baseball. Sentence 2: A group of people in the US Army are playing a baseball game while they have down time.
Answer:
|
N
|
task190_snli_classification
|
NIv2
|
fs_opt
| 7
|
train
|
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Input: Sentence 1: The dog is on the bed. Sentence 2: The dog is on the bed.
Output:
|
C
|
task190_snli_classification
|
NIv2
|
zs_opt
| 3
|
train
|
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Input: Sentence 1: little boy in blue shorts holding a window screen Sentence 2: The boy has long pants on.
Output:
|
C
|
task190_snli_classification
|
NIv2
|
zs_opt
| 3
|
train
|
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Problem:Sentence 1: Two horse back riders riding on a dirt path. Sentence 2: Two people riding horses.
Solution:
|
C
|
task190_snli_classification
|
NIv2
|
zs_opt
| 8
|
train
|
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Ex Input:
Sentence 1: Girl tangled in multicolored bands on tracks. Sentence 2: A girl is stuck in bands.
Ex Output:
C
Ex Input:
Sentence 1: a line waiting to get into a movie Sentence 2: The people are waiting to watch Harry Potter.
Ex Output:
N
Ex Input:
Sentence 1: A woman wearing a brown coat is looking over the ocean. Sentence 2: The lady was admiring the view from the shore.
Ex Output:
|
C
|
task190_snli_classification
|
NIv2
|
fs_opt
| 1
|
train
|
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Q: Sentence 1: A ballerina dancing in front of a mountainous landscape. Sentence 2: a ballerina is dancing in front of a nice landscape
A: C
****
Q: Sentence 1: A black and white dog is chasing a ping Frisbee. Sentence 2: The black and white dogs are chasing a duck.
A: C
****
Q: Sentence 1: A man in a blue shirt and glasses is sleeping in the car. Sentence 2: The man is wearing clothes.
A:
|
C
****
|
task190_snli_classification
|
NIv2
|
fs_opt
| 4
|
train
|
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Problem:Sentence 1: A woman wearing a blue skirt, high heels, a white shirt, green jacket and headband is walking out of a tunnel. Sentence 2: A woman has a blue skirt.
Solution:
|
C
|
task190_snli_classification
|
NIv2
|
zs_opt
| 8
|
test
|
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Teacher: Now, understand the problem? Solve this instance: Sentence 1: An Asian woman standing in a crowded urban area listening to music. Sentence 2: A woman listens to music near a shopping center.
Student:
|
N
|
task190_snli_classification
|
NIv2
|
zs_opt
| 6
|
validation
|
Question: Let's complete this passage.
By Ashley Collman PUBLISHED: 11:58 EST, 9 August 2013 | UPDATED: 13:02 EST, 9 August 2013 Robert and Ethel Kennedy hired Ena Bernard in 1951 to care for their newborn daughter Kathleen. But over the next 44 years, Ena's job would grow to include raising all 11 children in the growing Kennedy brood and staying on as a member of the family long after the youngest child was out of the house. Ms Bernard died last week at the age of 105 at her home in Sunrise, Florida. 85-year-old Ethel and all but one of her living children - Joe, Bobby, Kathleen, Kerry, Christopher, Maxwell, Douglas and Rory - attended her funeral Thursday.
OPTIONS:
- Ashley Collman was pregnant with daughter Rory at the time of her husband's death
- Bernard was pregnant with daughter Rory at the time of her husband's death
- Bobby was pregnant with daughter Rory at the time of her husband's death
- Christopher was pregnant with daughter Rory at the time of her husband's death
- Douglas was pregnant with daughter Rory at the time of her husband's death
- Ena was pregnant with daughter Rory at the time of her husband's death
- Ena Bernard was pregnant with daughter Rory at the time of her husband's death
- Ethel was pregnant with daughter Rory at the time of her husband's death
- Ethel Kennedy was pregnant with daughter Rory at the time of her husband's death
- Florida was pregnant with daughter Rory at the time of her husband's death
- Joe was pregnant with daughter Rory at the time of her husband's death
- Kathleen was pregnant with daughter Rory at the time of her husband's death
- Kennedy was pregnant with daughter Rory at the time of her husband's death
- Kerry was pregnant with daughter Rory at the time of her husband's death
- Maxwell was pregnant with daughter Rory at the time of her husband's death
- Robert was pregnant with daughter Rory at the time of her husband's death
- Rory was pregnant with daughter Rory at the time of her husband's death
- Sunrise was pregnant with daughter Rory at the time of her husband's death
Answer: Ethel was pregnant with daughter Rory at the time of her husband's death
Problem: Choose the next sentence
By Glen Owen Nigel Farage yesterday effectively ruled out a pact with the Conservatives as he battled to stop the ‘sluts’ row from completely overshadowing his annual party conference. The UKIP leader tried to move on from the furore over MEP Godfrey Bloom’s ourburst by outlining his determination to remain independent. But his efforts were undermined when The Mail on Sunday established that Mr Farage shares a Brussels flat with Mr Bloom. UKIP leader Nigel Farage will continue to share a flat with Mr Bloom in Brussels - even though he has suspended him from the party The two men have claimed more than £100,000 in expenses on the property since 2009.
After a second woman then made the same joke, Mr
OPTIONS:
- Bloom declared loudly: ‘The room is full of sluts!’
- Brussels declared loudly: ‘The room is full of sluts!’
- Farage declared loudly: ‘The room is full of sluts!’
- Glen Owen declared loudly: ‘The room is full of sluts!’
- Godfrey Bloom declared loudly: ‘The room is full of sluts!’
- MEP declared loudly: ‘The room is full of sluts!’
- Nigel Farage declared loudly: ‘The room is full of sluts!’
- The Mail on Sunday declared loudly: ‘The room is full of sluts!’
- Tories declared loudly: ‘The room is full of sluts!’
- UKIP declared loudly: ‘The room is full of sluts!’
Answer: Bloom declared loudly: ‘The room is full of sluts!’
QUES: A COMPLETION PROBLEM.
(CNN) -- He might be fighting it out with Lionel Messi for the title of the world's top soccer player, but Cristiano Ronaldo is in a league of his very own when it comes to social media followers. Tuesday saw the Portuguese superstar top 100 million "fans" on Facebook -- way ahead of the nearest sporting opposition. He is adding fans at the rate of nearly one every second, 54 per minute on average. The next best tally is not an individual but a club, FC Barcelona, which has over 76 million 'likes' -- just edging ahead of Ronaldo's own team, European champion Real Madrid.
OPTIONS:
- CNN is averaging well over a goal per game already this season for Real.
- Cristiano Ronaldo is averaging well over a goal per game already this season for Real.
- European is averaging well over a goal per game already this season for Real.
- FC Barcelona is averaging well over a goal per game already this season for Real.
- Facebook is averaging well over a goal per game already this season for Real.
- Lionel Messi is averaging well over a goal per game already this season for Real.
- Portuguese is averaging well over a goal per game already this season for Real.
- Real Madrid is averaging well over a goal per game already this season for Real.
- Ronaldo is averaging well over a goal per game already this season for Real.
- Twitter is averaging well over a goal per game already this season for Real.
ANS: Cristiano Ronaldo is averaging well over a goal per game already this season for Real.
Input: Choose the next sentence.
(CNN) -- Delvin Barnes, who allegedly abducted a Philadelphia nurse's assistant and held her for three days, made a court appearance Friday to plead not guilty to kidnapping charges. He was indicted Thursday, according to the Philadelphia U.S. Attorney's office. Carlesha Freeland-Gaither's abduction on November 2 was captured on a surveillance video in Philadelphia and sparked a manhunt involving the FBI, Philadelphia police, the Bureau of Alcohol, Tobacco, Firearms and Explosives, and the U.S. Marshal's Service. Freeland-Gaither, 22, was found in Jessup, Maryland on November 5. Barnes, 37, was arrested that same day after police tracked him down using his car's GPS device.
Before he appeared in court for the alleged Philadelphia abduction, he was booked and processed in
OPTIONS:
- Barnes in connection with the other alleged kidnapping.
- Bureau of Alcohol, Tobacco, Firearms and Explosives in connection with the other alleged kidnapping.
- CNN in connection with the other alleged kidnapping.
- Carlesha Freeland-Gaither in connection with the other alleged kidnapping.
- Delvin Barnes in connection with the other alleged kidnapping.
- FBI in connection with the other alleged kidnapping.
- Philadelphia in connection with the other alleged kidnapping.
- U.S. in connection with the other alleged kidnapping.
- Virginia in connection with the other alleged kidnapping.
Output:
|
Virginia in connection with the other alleged kidnapping.
|
super_glue_record_1_0_2
|
Flan2021
|
fs_opt
| 9
|
train
|
How does this story end?
Health screenings to help prevent the spread of Ebola began Saturday for some travelers to New York's John F. Kennedy International Airport but an official with the Centers for Disease Control and Prevention warned that nothing can "get the risk to zero." Four other airports will add the screenings Thursday, according to the CDC. This won't be a mass event, with long lines of travelers waiting for screening. Only about 150 travelers a day will receive the screenings, CDC officials said. "No matter how many of these procedures are put into place, we can't get the risk to zero," Dr. Martin Cetron, director of the CDC's Division of Global Migration and Quarantine, told reporters Saturday.
Those suspected of possible Ebola exposure will be referred to a
|
CDC public health officer for additional screening.
|
super_glue_record_1_0_2
|
Flan2021
|
zs_noopt
| 5
|
train
|
Question: Passage: By Ian Drury The true cost of Britain’s military operations since the Cold War could be as high as £72billion. Most of it has been squandered on wars in Iraq and Afghanistan seen as ‘strategic failures’, claims a respected defence think-tank. Toppling Iraqi dictator Saddam Hussein helped radicalise young Muslims in the UK, said the Royal United Services Institute. Taken down: Toppling Iraqi dictator Saddam Hussein helped radicalise young Muslims in the UK, said the Royal United Services Institute. A statue of him is pulled down (above) in Baghdad in an iconic image from April 2003 Far from reducing international terrorism, the Iraq war ‘had the effect of promoting it’. It had left Britain open to homegrown attacks such as the July 7 London bombings in 2005.
Query:
Answer: Royal United Services Institute’s most scathing criticism is reserved for the Iraq deployment.
Question: Passage: (CNN) -- Last summer, Jessica Rodriguez didn't want to go outside, or even open the door. She didn't want anyone to see she had lost her hair during breast cancer treatment. Rodriguez, 39, said she found strength from the support of her husband and children, and through an organization called Nueva Vida, a support network for Latinas with cancer based in Washington. At support meetings, she met other women who had lost their hair in cancer treatment and realized she was not alone. "They were going through the same," said Rodriguez, who moved to the United States from Peru 12 years ago and now lives in Germantown, Maryland. "I say: They're OK. It's only the hair. It's going to go grow back."
Query: Some Latina breast cancer survivors such as Rodriguez have found comfort and assistance from organizations geared toward
Answer: Hispanics.
Question: Passage: Would Parmesan by any other name be as tasty atop your pasta? A ripening trade battle might put that to the test. As part of trade talks, the European Union wants to ban the use of European names like Parmesan, feta and Gorgonzola on cheese made in the United States. The argument is that the American-made cheeses are shadows of the original European varieties and cut into sales and identity of the European cheeses. The Europeans say Parmesan should only come from Parma, Italy, not those familiar green cylinders that American companies sell. Feta should only be from Greece, even though feta isn't a place. The EU argues it ‘is so closely connected to Greece as to be identified as an inherently Greek product.’
Query: It's
Answer:
|
Greek to me: Despite not being named for a specific place, the EU included feta cheese on its list of products they'd like renamed if produced in the United States
|
super_glue_record_1_0_2
|
Flan2021
|
fs_noopt
| 3
|
train
|
Question: Let's complete this passage.
By William Turvill PUBLISHED: 16:09 EST, 12 March 2014 | UPDATED: 17:30 EST, 12 March 2014 The restaurant manager and barman of an upmarket riverside restaurant stood before a judge today accused of killing a customer. The two men, along with the boyfriend of another colleague, allegedly restrained the man so forcefully that he stopped breathing and suffered a fatal heart attack. Gary Eastley, Jake Corney and Dawid Lamkowski deny the charge of manslaughter. A jury heard that Eastley and Lamkowski held Marcin Pastuszczak down on the ground outside Boulters Restaurant and Bar in Maidenhead for more than half an hour, before being joined by Corney.
OPTIONS:
- Berkshire then arrived, having heard of the situation in a phone call with his girlfriend.
- Boulters Restaurant and Bar then arrived, having heard of the situation in a phone call with his girlfriend.
- Corney then arrived, having heard of the situation in a phone call with his girlfriend.
- Dawid Lamkowski then arrived, having heard of the situation in a phone call with his girlfriend.
- Eastley then arrived, having heard of the situation in a phone call with his girlfriend.
- Gary Eastley then arrived, having heard of the situation in a phone call with his girlfriend.
- Guildford Crown Court then arrived, having heard of the situation in a phone call with his girlfriend.
- Jake Corney then arrived, having heard of the situation in a phone call with his girlfriend.
- Lamkowski then arrived, having heard of the situation in a phone call with his girlfriend.
- Maidenhead then arrived, having heard of the situation in a phone call with his girlfriend.
- Marcin Pastuszczak then arrived, having heard of the situation in a phone call with his girlfriend.
- Pastuszczak then arrived, having heard of the situation in a phone call with his girlfriend.
- William Turvill then arrived, having heard of the situation in a phone call with his girlfriend.
Answer: Corney then arrived, having heard of the situation in a phone call with his girlfriend.
Problem: Choose the next sentence
Houston police have arrested a man in the abduction of a 6-year-old girl who escaped after going into a Target store and alerting a customer that she was kidnapped. Police say 23-year-old Joaquin Ramos was captured early Thursday and is charged with kidnapping. Investigators say the child, identified as Kelly Tellez, did not appear harmed during the harrowing one-hour ordeal, which played out Wednesday afternoon when she was snatched from her apartment complex. The Houston man was apprehended this morning at a local hospital where, according to police, his pregnant wife was in labor. Scroll down for video Snatced in broad daylight: Joaquin Ramos, 23 (left), has been charged with kidnapping in connection to the abduction of Kelly Tellez (right)
OPTIONS:
- Houston’s mother attempted to pursue the kidnapper on foot before returning to the garage and giving chase in her vehicle, but she quickly lost sight of the man.
- Joaquin Ramos’s mother attempted to pursue the kidnapper on foot before returning to the garage and giving chase in her vehicle, but she quickly lost sight of the man.
- Kelly Tellez’s mother attempted to pursue the kidnapper on foot before returning to the garage and giving chase in her vehicle, but she quickly lost sight of the man.
- Ramos’s mother attempted to pursue the kidnapper on foot before returning to the garage and giving chase in her vehicle, but she quickly lost sight of the man.
- Target’s mother attempted to pursue the kidnapper on foot before returning to the garage and giving chase in her vehicle, but she quickly lost sight of the man.
Answer: Kelly Tellez’s mother attempted to pursue the kidnapper on foot before returning to the garage and giving chase in her vehicle, but she quickly lost sight of the man.
QUES: A COMPLETION PROBLEM.
By Rob Draper Follow @@draper_rob Luis Suarez is understood to be taking advice from a Spanish lawyer with strong links to Barcelona to help him in his appeal against his four-month ban for biting. Juan de Dios Crespo is working with Suarez and the Uruguayan FA with the ongoing appeal to FIFA against the punishment, which also includes a nine-match international ban, after Suarez’s initial legal pleas, which included a denial that the bite took place, proved disastrous and only antagonised FIFA’s disciplinary commission. Barcelona are believed to have insisted that Suarez make a public apology if he wants to move to the Catalan club from Liverpool this summer – and the player obliged yesterday, admitting his guilt for the first time and apologising to Italian defender Giorgio Chiellini.
Suarez’s defence is now likely to include an admission that he bit
OPTIONS:
- Barcelona, a display of contrition and a plea for mitigation.
- Catalan, a display of contrition and a plea for mitigation.
- De Dios Crespo, a display of contrition and a plea for mitigation.
- FA, a display of contrition and a plea for mitigation.
- FIFA, a display of contrition and a plea for mitigation.
- Giorgio Chiellini, a display of contrition and a plea for mitigation.
- Italian, a display of contrition and a plea for mitigation.
- Juan de Dios Crespo, a display of contrition and a plea for mitigation.
- Liverpool, a display of contrition and a plea for mitigation.
- Luis Suarez, a display of contrition and a plea for mitigation.
- Rob Draper, a display of contrition and a plea for mitigation.
- Spanish, a display of contrition and a plea for mitigation.
- Suarez, a display of contrition and a plea for mitigation.
- Uruguayan, a display of contrition and a plea for mitigation.
ANS: Giorgio Chiellini, a display of contrition and a plea for mitigation.
QUES: A COMPLETION PROBLEM.
Prominent ABC journalist Leigh Sales has copped a barrage of complaints on social media from those claiming she was too soft on Tony Abbott during a televised interview. The Prime Minister was interviewed by Sales on the ABC's 7.30 program on Thursday night and her name quickly started trending on Twitter. Viewers claimed Mr Abbott got away with the 'lightest and fluffiest' of interviews, with some even comparing Sales to Today host Karl Stefanovic who was applauded for putting tough questions to the PM on Monday. Scroll down for video ABC journalist Leigh Sales has copped a barrage of complaints on social media from those claiming she was too soft on Tony Abbott during a TV interview on Thursday
'Might be time for the ABC to hire
OPTIONS:
- ABC to ask the serious questions.
- Abbott to ask the serious questions.
- Cabinet to ask the serious questions.
- Karl Stefanovic to ask the serious questions.
- Leigh Sales to ask the serious questions.
- Nine to ask the serious questions.
- Tony Abbott to ask the serious questions.
- Twitter to ask the serious questions.
ANS:
|
Karl Stefanovic to ask the serious questions.
|
super_glue_record_1_0_2
|
Flan2021
|
fs_opt
| 7
|
train
|
Question: Let's complete this passage.
Iran paraded its military might today in a show of force which came as Isis continued making gains in neighbouring Iraq and Syria which have taken it to within 15 miles of the border with Turkey. The Islamic Republic marked the 34th anniversary of Iraq's invasion of the country on September 22, 1980 and led to an eight-year war. Thousands of soldiers and members of the guard marched in front of the country's president, Hassan Rouhani, who gave a speech at the ceremony in Tehran. Iranian Naval commandos march during the annual military parade in Tehran, marking the anniversary of Iran's war with Iraq which started on this day in 1980
OPTIONS:
- General Assembly joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Hassan Rouhani joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Iran joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Iranian joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Iranian Arabs joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Iraq joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Isis joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Islamic Republic joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Kurds joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Middle East joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Naval joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- New York joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Rouhani joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Syria joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Tehran joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- Turkey joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
- United Nations joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
Answer: Iranian Arabs joined the Kurds, as Iran showed the unity within the country 34 years to the day after it was invaded by Iraqi soldiers
Problem: Choose the next sentence
Alex Bruce says Hull are 'quietly confident' of reaching the Europa League play-offs despite being held to a goalless draw by AS Trencin on Thursday night. The Tigers were favourites to beat their Slovakian opponents on their competitive continental bow in Zilina but came away from their third qualifying round first leg with a stalemate. Tom Huddlestone should have won it for the visitors but saw his 61st-minute penalty saved and somehow flashed a point-blank follow-up against the bar. Confident: Alex Bruce remains hopeful that Hull will advance to the Europa League play-offs Bruce, who was one of City's most impressive performers in the centre of a back three, was not surprised the visitors did not get things their own way but is banking on a positive result at the KC Stadium to carry them through next week.
'I think everyone in the ground thought it was going in, we all know how cleanly
OPTIONS:
- AS Trencin strikes the ball,' he said.
- Alex Bruce strikes the ball,' he said.
- Bruce strikes the ball,' he said.
- City strikes the ball,' he said.
- Europa League strikes the ball,' he said.
- Europe League strikes the ball,' he said.
- Hull strikes the ball,' he said.
- KC Stadium strikes the ball,' he said.
- Slovakia strikes the ball,' he said.
- Slovakian strikes the ball,' he said.
- Tigers strikes the ball,' he said.
- Tom Huddlestone strikes the ball,' he said.
- Zilina strikes the ball,' he said.
Answer: Tom Huddlestone strikes the ball,' he said.
By James Nye PUBLISHED: 19:34 EST, 26 September 2013 | UPDATED: 08:14 EST, 27 September 2013 It was a sordid affair by any measure of the imagination. Teresa Stone dreamed of running away with her pastor lover, armed with as much as $800,000 in life insurance payouts she imagined they would get after they killed her former Marine husband. Instead, Stone is serving eight years in prison for conspiring to murder Randy Stone, the father of her two children - and the man she called 'Brother Love' is serving a life sentence for shooting his best friend with his own gun at his office in Independence, Missouri.
Indeed, police were at the funeral because they suspected that the killer knew
OPTIONS:
- Brother Love and would be in attendance.
- David Love and would be in attendance.
- Independence and would be in attendance.
- James Nye and would be in attendance.
- Love and would be in attendance.
- Marine and would be in attendance.
- Missouri and would be in attendance.
- Randy Stone and would be in attendance.
- Stone and would be in attendance.
- Teresa Stone and would be in attendance.
=====
|
Randy Stone and would be in attendance.
|
super_glue_record_1_0_2
|
Flan2021
|
fs_opt
| 1
|
train
|
WASHINGTON (CNN) -- Two Supreme Court justices on opposite sides of the ideological aisle exchanged tough words Monday over the fate of a Florida murderer who has been on death row for 32 years. Siding with the court's majority, Justice Clarence Thomas described brutal details of a Florida slaying. The high court has refused to hear the appeal of William Thompson, who had plead guilty twice in the March 1976 kidnapping and torture-murder of a woman. His case and subsequent appeals have been litigated since, but a new execution date has not been set. A key part of his request to be spared lethal injection is that three decades as a capital inmate constitutes cruel and unusual punishment.
Thompson and his co-defendant both pleaded guilty but the state's high court initially tossed out
=====
Thompson's sentence.
By Associated Press Reporter PUBLISHED: 13:52 EST, 7 September 2013 | UPDATED: 07:23 EST, 8 September 2013 Prim and proper: Miss America 2011, Teresa Scanlan, is now attending the ultra-conservative Patrick Henry College in Purcellville, Va. The contrast is startling: from a bikini-clad 2011 Miss America, Teresa Scanlan has transformed into a prim and proper student at the ultra-conservative Patrick Henry College. The school requires students to dress modestly and ‘seek parental counsel when pursuing a romantic relationship.’ But the match has been a good one. Scanlan returned to campus in late August to begin her sophomore year. Among the things she loves about her classmates and her campus is her relative anonymity.
She says the school's workload matched the grueling schedule as
=====
Miss America.
By Louise Cheer and Aap Indonesian tourism operators will push Australians to holiday in places other than Bali after fears the party island is being overrun by tourists. A Balinese travel fair taking place this week will encourage visitors to explore outside of the usual hotspots of Kuta and Seminyak beaches. But one expert said authorities need to go further and designate Bali as a transit from which tourists would be expected to move on. Tourism operators are trying to steer more people out of Bali to prevent the party island from being overrun Nyoman Sukma Arida, of Udayana University, has been warning for 10 years that Bali tourism is approaching saturation, pointing to signs of environmental stress all over the island.
A moratorium on new hotel developments was ineffective, he says, and the government should urgently discuss how to save
=====
|
Bali from its own success.
|
super_glue_record_1_0_2
|
Flan2021
|
fs_noopt
| 1
|
train
|
Write the last sentence in this story.
(CNN) -- A small central Texas community has begun trucking in thousands of gallons of water to avoid running dry during the state's historic drought, a water official said. Two trucks filled with about 8,000 gallons of water reached Spicewood Beach Monday afternoon and the precious liquid was immediately pumped into community water tanks. "The community could be trucking for two weeks or two months, it just depends on the weather," according to Lower Colorado River Association spokeswoman Clara Tuma. "It's raining right now, though." The town is under a Stage 4 water emergency -- the most severe level -- and it won't ease until the town gets more rain over an extended period of time.
The water level in the
|
Spicewood Beach well has leveled out since the water emergency was declared last week.
|
super_glue_record_1_0_2
|
Flan2021
|
zs_noopt
| 6
|
train
|
Write the last sentence in this story.
(CNN) -- Connectivity was the name of the game at this year's Consumer Electronics Show, held last week in Las Vegas -- especially when it came to health-related products. From cloud-connected scales to music-connected sex toys, these gadgets rose above the rest as those that might really help you keep your New Year's resolutions. Sleep soundly A small, lightweight band users wear on their heads during sleep, the Zeo Sleep System measures brain waves while you're in dreamland, and will sync via Bluetooth with your smart device. Zeo's free app plots out how many hours of quality snooze time you're getting each night. Great feedback for our highly caffeinated, tech-obsessed society, it also plots out sleep quality based on behaviors you input.
The
|
Zeo is available for a one-time purchase price of $99.
|
super_glue_record_1_0_2
|
Flan2021
|
zs_noopt
| 6
|
train
|
Find the right ending to this passage.
English football's new golden boy Raheem Sterling has vowed to try and turn the other cheek if he becomes the target for Premier League's hatchet-men this season. Sterling was the one England player who returned from their World Cup failure in Brazil with his stock greatly enhanced and the teenage star will carry the hopes of Liverpool fans still grieving the loss of Luis Suarez. But with reputation comes responsibility. Sent-off for his country in England against Ecuador this summer for a bad tackle of his own, Sterling knows opponents are looking out for him now and wants to take inspiration from Lionel Messi and Cristiano Ronaldo who have learned to cope with being kicked regularly by over-zealous markers.
'
OPTIONS:
- Brazil was a big part of last year, a massive part to be fair,' he admits.
- Cristiano Ronaldo was a big part of last year, a massive part to be fair,' he admits.
- Ecuador was a big part of last year, a massive part to be fair,' he admits.
- England was a big part of last year, a massive part to be fair,' he admits.
- English was a big part of last year, a massive part to be fair,' he admits.
- Lionel Messi was a big part of last year, a massive part to be fair,' he admits.
- Liverpool was a big part of last year, a massive part to be fair,' he admits.
- Luis Suarez was a big part of last year, a massive part to be fair,' he admits.
- Messi was a big part of last year, a massive part to be fair,' he admits.
- No 10 was a big part of last year, a massive part to be fair,' he admits.
- Premier League was a big part of last year, a massive part to be fair,' he admits.
- Raheem Sterling was a big part of last year, a massive part to be fair,' he admits.
- Ronaldo was a big part of last year, a massive part to be fair,' he admits.
- Sterling was a big part of last year, a massive part to be fair,' he admits.
- World Cup was a big part of last year, a massive part to be fair,' he admits.
|
Luis Suarez was a big part of last year, a massive part to be fair,' he admits.
|
super_glue_record_1_0_2
|
Flan2021
|
zs_opt
| 2
|
test
|
Choose the next sentence for this paragraph.
By Zoe Szathmary for MailOnline and Associated Press Cleveland Browns player Johnny Manziel is at it again. The quarterback - whose off-the-field partying ways have earned him a 'bad boy' reputation - was caught giving the middle finger while playing the Washington Redskins. Manziel - aka 'Johnny Football' - was filmed running and making the obscene gesture during the game's third quarter on Monday. Speaking about his behavior, Manziel told ESPN 'I get words exchanged with me. I should have been smarter. It's Monday Night Football. I had a lapse of judgement.' Scroll down for video Unsportsmanlike conduct: Johnny Manziel was caught on camera making a rude gesture
In his ear: Manziel was 'trash talked' by his opponents during the game on ESPN's
OPTIONS:
- Associated Press
- Brian Orakpo
- Cleveland Browns
- ESPN
- Heisman Trophy
- Johnny Football
- Johnny Manziel
- MailOnline
- Manziel
- Monday Night Football
- Redskins
- Ryan Kerrigan
- Washington Redskins
- Zoe Szathmary
|
Monday Night Football
|
super_glue_record_1_0_2
|
Flan2021
|
zs_opt
| 7
|
validation
|
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