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Given the task definition, example input & output, solve the new input case.
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one enti... | b | task233_iirc_link_exists_classification | NIv2 | fs_opt | 1 | train |
Q: In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the p... | a | task233_iirc_link_exists_classification | NIv2 | zs_opt | 7 | train |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b
| task233_iirc_link_exists_classification | NIv2 | fs_opt | 0 | train |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b
| task233_iirc_link_exists_classification | NIv2 | fs_opt | 0 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming yo... | b | task233_iirc_link_exists_classification | NIv2 | fs_opt | 0 | train |
Detailed Instructions: In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether in... | b | task233_iirc_link_exists_classification | NIv2 | zs_opt | 9 | train |
Teacher:In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from ... | b | task233_iirc_link_exists_classification | NIv2 | zs_opt | 6 | train |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | Solution: a | task233_iirc_link_exists_classification | NIv2 | fs_opt | 5 | train |
Detailed Instructions: In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether in... | a | task233_iirc_link_exists_classification | NIv2 | zs_opt | 8 | test |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one enti... | b | task233_iirc_link_exists_classification | NIv2 | zs_opt | 1 | validation |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Example: Pero comenzamos con la idea de un niรฑo por vez.
Example solution: ืืื ืืชืืื ื ืืืืฉ ืืช ืืจืขืืื ืฉื ืืืื ืื ืืื ืื ืคืจื.
Example explanation: The Spanish sentence is correctly translated into Hebrew, because the meaning is... | Solution: ืืืืช ืืืคื ืืงืจื ืืืืช ืืืืชืจืื ืืืืื ื ืฉืืืคืช ืืืืืืก ืื ืืืืจื ืืืชืจ ืืืฉืจ ืืื ืืืื ื ืืืจืช. | task1229_ted_translation_es_he | NIv2 | fs_opt | 5 | train |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Example Input: Tanto Napoleรณn como Josefina adoraban las violetas.
Example Output: ื ืคืืืืืื ืื 'ืืืคืื ืืืื ืืื ืกืืืืืืช.
Example Input: Y cuando entrรณ me di cuenta de que los vio claramente.
Example Output: ืืืชื ืืืืขืื, ืืฉื... | ืืื ืงื ื ืจืืืฉ.
| task1229_ted_translation_es_he | NIv2 | fs_opt | 3 | train |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
[EX Q]: Pero fuimos un poco lejos.
[EX A]: ืืื ื ืืืื ื ืงืฆืช ืืืืืื ืืื.
[EX Q]: Esta es Birgitta Jรณnsdรณttir. Es una parlamentaria islandesa.
[EX A]: ืืืื ืืจืืืืื ืืืื ืกืืืืืจ. ืืื ืืืจืช ืคืจืืื ื ืืืกืื ืืืช.
[EX Q]: Soy, o he sido,... | ืื ื ืขืืฉืื, ืื ืืืืชื, ืื ืกืื ืฉื ืืขืฆื ืฆืขืฆืืขืื.
| task1229_ted_translation_es_he | NIv2 | fs_opt | 6 | train |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
No es un problema de รfrica. No es un problema del Oriente Medio.
| ืืืช ืื ืืขืื ืืคืจืืงืืืช. ืืืช ืื ืืขืื ืืืจื ืชืืืื ืืช. | task1229_ted_translation_es_he | NIv2 | zs_opt | 5 | train |
TASK DEFINITION: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
PROBLEM: y, de cierta forma, lo convierte en algo espiritual.
SOLUTION: ืืืืืคื ืืกืืื, ืืืืงื ืื ืื ืฉืขืืฉื ืืช ืืขื ืืื ืืจืืื ื.
PROBLEM: De maneras que, a pesar de nuestros recursos, ellos pueden hacer mejor.
S... | ืกื ืื ืืืช ืืจืคืชืืช ืืืื ื-ืงืื ื, 2004.
| task1229_ted_translation_es_he | NIv2 | fs_opt | 8 | train |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
[EX Q]: Cuando tenemos acceso a ellos, nos impresionan, nos enamoramos.
[EX A]: ืืืืฉืจ ืื ื ืืงืืืื ืืืฉื ืืื ืืื ืื ื ืืชืคืขืืื, ืื ื ืืชืืืืื.
[EX Q]: Ze Frank: Entonces โ Sรญ.
[EX A]: ืื ืคืจื ืง: ืื - ืื.
[EX Q]: Aquรญ tenemos la qu... | ืืื ืืฉ ืื ื, ืื ืฉืืคื ืืขืชื ืืื ืืื ืืจืขืืื ืืช ืืืืืืื, ืฉืื ืืืื,
| task1229_ted_translation_es_he | NIv2 | fs_opt | 6 | train |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Input: Y me encontrรฉ en los Juegos Paralรญmpicos pensando en lo increรญble, cรณmo se ha aprovechado la tecnologรญa para probar fuera de toda duda que la discapacidad no es una barrera para alcanzar los niveles depo... | ืืืฆืืชื ืืช ืขืฆืื ืืชืืื ื ืืืืืืืคืืืืช ืื ืืื ืืืืฉื ืืื ืืืืื ืืืฆื ื ืืชื ืืจืชืื ืืื ืืืืืื ืขื ืื ืช ืืืืืื ืืขืืจ ืืื ืกืคืง ืฉืืืืื ืืื ื ืืืกืื ืืืืฉืืื ืกืคืืจืืืืืื ืืจืืืช ืืืืืืืช ืืืืชืจ. | task1229_ted_translation_es_he | NIv2 | zs_opt | 3 | train |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Input: Consider Input: EM: Muy cerca. Las cosas casi que no funcionaban.
Output: ื "" ื: ืื ืืื ืืืืื ืืื. ืื ืืืขื ืืื ืืฆืืื.
Input: Consider Input: No fue un proceso de aprendizaje formal, organizado, y estoy feliz de a... | Output: ืืืืื ืฉืื ืื ืืฉื ื, ืื ืื ืืืื ืืืืืช ืฉืื ืื.
| task1229_ted_translation_es_he | NIv2 | fs_opt | 2 | train |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Ex Input:
Fue muy desconcertante, no podรญamos explicarnos lo que estรกbamos viendo en Titรกn.
Ex Output:
ืืื ืืื ืชืขืืืื โ ืื ืืืืื ื ืืืืืช ืื ืฉืจืืื ื ืขื ืืืืื.
Ex Input:
No podemos imaginar lo que sucederรก ahora.
Ex Output:... | ืืืฉืืื ืืฉ ืคืืืคืืจืื ืืืืืืืฉืืื ืจืืืืืืงื, ืื ืืชื ืฉืืื ืืืฉื, ืืืชื ืืชืื ื ืื ืืช ืืืืจ ืืื ืขื ืืืฉืง ืืฉืชืืฉ ืืื ืืืืื ืืืืช ืืขืืฉืื ืืืจืื ืฉืื ืื.
| task1229_ted_translation_es_he | NIv2 | fs_opt | 1 | test |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Asรญ que, quizรกs, โ ay, lo siento, es cristiano, perdonen โ y es hombre, pero no es blanco.
Output: | ืื, ืืืื โ ืื ืกืืืื, ืืื ื ืืฆืจื, ืื ื ืืชื ืฆื โ ืืืื ืืืจ, ืืื ืืื ื ืืื. | task1229_ted_translation_es_he | NIv2 | zs_opt | 1 | validation |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
--------
Question: Problem: the side of a square has the length of 6 . what is the area of the region shaded ?
Options: ['a ) 48 - 8 ฯ', 'b ) 48 - 6 ฯ', 'c ) 24 + 6 ฯ', 'd ) 16 + 8 ฯ... | e
| task1423_mathqa_geometry | NIv2 | fs_opt | 7 | train |
Instructions: In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: find the perimeter and area of a square of side 15 cm .
Options: a ) 144 , b ) 169 , c ) 196 , d ) 121 , e ) 225
Output: | e | task1423_mathqa_geometry | NIv2 | zs_opt | 3 | train |
Instructions: In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: a rectangular photograph is surrounded by a border that is 1 inch wide on each side . the total area of the photograph and the border is m square inches ... | a | task1423_mathqa_geometry | NIv2 | zs_opt | 3 | train |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example input: Problem: if the sides of a triangle are 20 cm , 12 cm and 16 cm , what is its area ?
Options: a ) 70 , b ) 79 , c ) 85 , d ) 96 , e ) 92
Example output: d
Example exp... | e | task1423_mathqa_geometry | NIv2 | fs_opt | 3 | train |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Let me give you an example: Problem: if the sides of a triangle are 20 cm , 12 cm and 16 cm , what is its area ?
Options: a ) 70 , b ) 79 , c ) 85 , d ) 96 , e ) 92
The answer to th... | a | task1423_mathqa_geometry | NIv2 | fs_opt | 8 | train |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
--------
Question: Problem: if paint costs $ 3.20 per quart , and a quart covers 60 square feet , how much will it cost to paint the outside of a cube 10 feet on each edge ?
Options:... | e
| task1423_mathqa_geometry | NIv2 | fs_opt | 7 | train |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: the area of a square is equal to five times the area of a rectangle of dimensions 36 cm * 20 cm . what is the perimeter of the square ?
Options: a ) 289 cm , b ) 800 cm , c... | d | task1423_mathqa_geometry | NIv2 | zs_opt | 0 | train |
Q: In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: the area of a square field is 1225 km 2 . how long will it take for a horse to run around at the speed of 20 km / h ?
Options: a ) 7 h , b ) 10 h , c ) 8 h , d ) 6 h , e ... | a | task1423_mathqa_geometry | NIv2 | zs_opt | 7 | train |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: if a rectangular billboard has an area of 104 square feet and a perimeter of 42 feet , what is the length of each of the shorter sides ?
Options: ['a ) 4', 'b ) 7', 'c ) 8'... | c | task1423_mathqa_geometry | NIv2 | zs_opt | 0 | test |
Teacher:In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Teacher: Now, understand the problem? Solve this instance: Problem: the area of a square is equal to twice the area of a rectangle of dimensions 32 cm * 64 cm . what is the pe... | b | task1423_mathqa_geometry | NIv2 | zs_opt | 6 | validation |
Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Don't create questions wh... | How many times a year does the average viewer watch this film? | task015_mctaco_question_generation_frequency | NIv2 | zs_opt | 4 | train |
Teacher: Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Don't create que... | How often does it flood in a floodplain? | task015_mctaco_question_generation_frequency | NIv2 | fs_opt | 2 | train |
Detailed Instructions: Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Do... | How often does Khallad get arrested? | task015_mctaco_question_generation_frequency | NIv2 | zs_opt | 9 | train |
Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Don't create questions wh... | How often do Oklahomans need lawyers? | task015_mctaco_question_generation_frequency | NIv2 | fs_opt | 8 | train |
Instructions: Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Don't creat... | How often do you eat a meal? | task015_mctaco_question_generation_frequency | NIv2 | zs_opt | 3 | train |
Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Don't create questions wh... | How often do kids ride the bus?
****
| task015_mctaco_question_generation_frequency | NIv2 | fs_opt | 4 | train |
Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Don't create questions wh... | Solution: How often do lunar eclipse happen? | task015_mctaco_question_generation_frequency | NIv2 | fs_opt | 5 | train |
Detailed Instructions: Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Do... | How often does the amount get converted to shares? | task015_mctaco_question_generation_frequency | NIv2 | zs_opt | 9 | train |
Part 1. Definition
Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Don't ... | How often do companies award multi-million dollar compensation packages? | task015_mctaco_question_generation_frequency | NIv2 | fs_opt | 7 | test |
Given the task definition, example input & output, solve the new input case.
Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday m... | How often does Ace go to concerts? | task015_mctaco_question_generation_frequency | NIv2 | fs_opt | 1 | validation |
Detailed Instructions: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise ... | Yes | task496_semeval_answer_generation | NIv2 | zs_opt | 8 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit wor... | Yes | task496_semeval_answer_generation | NIv2 | fs_opt | 0 | train |
Part 1. Definition
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise gene... | Yes | task496_semeval_answer_generation | NIv2 | fs_opt | 7 | train |
Instructions: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate ... | No | task496_semeval_answer_generation | NIv2 | zs_opt | 3 | train |
Detailed Instructions: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise ... | No | task496_semeval_answer_generation | NIv2 | zs_opt | 9 | train |
Given the task definition and input, reply with output. Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence ma... | Yes | task496_semeval_answer_generation | NIv2 | zs_opt | 5 | train |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ... | No
| task496_semeval_answer_generation | NIv2 | fs_opt | 1 | train |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ... | No
| task496_semeval_answer_generation | NIv2 | fs_opt | 5 | train |
Teacher: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answe... | No | task496_semeval_answer_generation | NIv2 | fs_opt | 2 | test |
Given the task definition and input, reply with output. Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence ma... | No | task496_semeval_answer_generation | NIv2 | zs_opt | 5 | validation |
Definition: Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
Input: Charlie is red. If someone is blue and kind then they are not big. Fiona is red. Harry is red. Anne is kind.
Output: | Charlie is not red. | task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | NIv2 | zs_opt | 2 | train |
Definition: Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
Input: The rabbit needs the tiger. If something chases the bear then it eats the mouse. The tiger needs the rabbit. The rabbit... | The rabbit is not blue. | task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | NIv2 | zs_opt | 2 | train |
instruction:
Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
question:
If something is not nice and not blue then it is not furry. If Fiona is not rough then Fiona is big. Fiona is not n... | The rabbit is not young.
| task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | NIv2 | fs_opt | 9 | train |
Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
Harry is nice. Harry is rough. Harry is cold. Harry is furry. Harry is blue. Harry is big. Harry is young. If Harry is big then Harry is ... | Bob is not green.
| task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | NIv2 | fs_opt | 0 | train |
Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
Example input: Anne is rough. Cold people are rough. If Anne is green then Anne is blue. Rough people are young. Anne is blue. If someone... | Harry is not big. | task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | NIv2 | fs_opt | 3 | train |
Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
--------
Question: Fiona is cold. If someone is nice then they are cold. All smart, quiet people are round. If someone is round then they ... | Harry is not big.
| task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | NIv2 | fs_opt | 7 | train |
Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
One example: Anne is rough. Cold people are rough. If Anne is green then Anne is blue. Rough people are young. Anne is blue. If someone is... | The dog sees the bald eagle. | task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | NIv2 | fs_opt | 6 | train |
Teacher:Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
Teacher: Now, understand the problem? Solve this instance: Gary is green. Gary is young. Gary is quiet. Gary is nice. All blue, fu... | Gary is not young. | task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | NIv2 | zs_opt | 6 | train |
Detailed Instructions: Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
Q: If the cow is red and the cow is not young then the cow is round. The cow is red. All red, big things are round.... | The cow is not red. | task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | NIv2 | zs_opt | 9 | test |
Instructions: Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
Input: The cat eats the cow. The rabbit is nice. If something visits the cow and it is rough then the cow likes the cat. The... | The rabbit visits the cat. | task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | NIv2 | zs_opt | 3 | validation |
Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Example Input: Get in touch with AAA Not located in CT, MA, NH, NJ, NY, RI? If you are not from one of these areas, p... | On an average, 3 minutes is the maximum time where the person can stay alive without oxygen.
| task870_msmarco_answer_generation | NIv2 | fs_opt | 3 | train |
Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Q: There are two fundamentally different types of synapses: 1 In a chemical synapse, electrical activity in the pres... | O.J. Simpson was tried on two counts of murder.
****
| task870_msmarco_answer_generation | NIv2 | fs_opt | 4 | train |
Detailed Instructions: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Problem:Do you want to get your tax refund fast after filing this year? See these tips on how t... | An income tax return takes 6 to 12 months time. | task870_msmarco_answer_generation | NIv2 | zs_opt | 8 | train |
Detailed Instructions: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Q: They mostly stay underwater for 3 to 8 minutes. However, longer periods of up to 30 minutes ... | A blue whale can stay for up to 20 minutes in underwater. | task870_msmarco_answer_generation | NIv2 | zs_opt | 9 | train |
Instructions: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Input: How to Pronounce UK Place Names - Anglophenia Ep 23 - Duration: 4:28. Anglophenia 1,970,052 views... | Roseate pronounced as a rose-root. | task870_msmarco_answer_generation | NIv2 | zs_opt | 3 | train |
Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Input: The average human pregnancy is 40 weeks long. However, a pregnancy is considered term between 37 we... | The average human pregnancy is 40 weeks long. However, a pregnancy is considered term between 37 weeks and 41 weeks 6 days. | task870_msmarco_answer_generation | NIv2 | zs_opt | 2 | train |
Definition: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Input: Quick Answer. A cube has six faces, 12 edges and eight vertices. Each face of a cube is an identica... | A cube has 12 edges. | task870_msmarco_answer_generation | NIv2 | zs_opt | 2 | train |
Detailed Instructions: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Q: There are various places you can go to for an HIV test, including: 1 sexual health or genit... | It takes three or four weeks hiv to show in blood test. | task870_msmarco_answer_generation | NIv2 | zs_opt | 9 | train |
Detailed Instructions: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Q: Using identifiable-sized particulate monitoring, my personal range is 12-48 hours with a med... | It takes 4 to 7 hours food to go through the body. | task870_msmarco_answer_generation | NIv2 | zs_opt | 9 | test |
Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Woodtrail Ct is vacant land in Whitehall, MI 49461. This vacant land is a 0.97 acre lot. This vacant land has been li... | An atom becomes an ion, if it gains one or more electron or electrons or, if it loses one or more electron or electrons.
| task870_msmarco_answer_generation | NIv2 | fs_opt | 0 | validation |
Problem: OPTIONS:
- The Economists
- American labor unions
- Senator Sherrod Brown
- not enough information
Q: U.S. President Donald Trumpโs plan to impose tariffs of 25 percent on steel and 10 percent on aluminum has met criticism from his Republican allies in Congress, many of whom worry the measures could trigger a ... | Kim Jong Un | quail_context_question_description_text | P3 | fs_opt | 5 | train |
Q: Yes. 20 years ago. When I was a lot younger. I was victimised by a gang of bent police men, who arrested me and set me up to get charged with something that I did not do which I believe was connected to other criminals who live in my area, who I believe were connected to a gang of DJโs who were involved stealing in... | the author | quail_context_question_description_text | P3 | zs_noopt | 6 | train |
Q: WASHINGTON โ U.S. President Donald Trump disclosed in a financial report filed with the governmentโs ethics watchdog Tuesday that he had reimbursed his personal lawyer more than $100,000 for unspecified expenses. In his annual financial disclosure form, which was released by the Office of Government Ethics (OGE) on ... | to cover up a sexual tryst | quail_context_question_description_text | P3 | zs_noopt | 3 | train |
U.S. President Donald Trump is not expected to meet the leaders of Cuba and Venezuela when he attends the Summit of the Americas next week, according to White House officials. However, there will still be opportunities for interactions between Trump and his Latin and North American counterparts at the two-day summit th... | NAFTA | quail_context_question_description_text | P3 | zs_noopt | 2 | train |
Q: Yes, and I am not proud of it, but grief makes you do some really stupid things. My wife walked out of our 9 year marriage and into relationship on the same day with a (so-called) friend of mine that I had known for 25 years. I was completely blindsided and in shock. I was devastated, I was lost, and I was grieving ... | One month | quail_context_question_description_text | P3 | fs_opt | 5 | train |
Q: For years, Aimee Lind, a librarian at the Getty Research Institute, has been struggling with ways to make architecture archives more accessible to users. To help solve this problem, she co-founded the California Architecture Archives Network (or CalArchNet) with her Cal Poly SLO colleague Jessica Holada. Together th... | Aimee respects Jessica | quail_context_question_description_text | P3 | zs_noopt | 9 | train |
Options are: (A). because she was up all night worrying (B). not enough information (C). because the doctors and nurses performed so many tests (D). because she just had a C-section
Given those answer options, answer the question: The surgeon who had delivered my son by C-section an hour earlier stepping back from the ... | (D). | quail_context_question_description_text | P3 | zs_opt | 8 | train |
Staying in our apartment on the North Shore of Vancouver, we were tucked into a sleepy, suburban idyll where once off the busy highway, kids played ball games in the street and cats strolled around their own home territories without a care in the world. It is also home to the famous Capilano Suspension Bridge, but warn... | As old as the park itself | quail_context_question_description_text | P3 | zs_noopt | 0 | train |
input: OPTIONS:
- I owe my early entry into the world to Tabusintac Hill
- I owe my early entry into the world to South Hill
- I owe my early entry into the world to Pontiac Hill
- not enough information Now, answer this question: When she's in the mood to push my buttons, my significant other, the delightful and charm... | the cousin is not friendly | quail_context_question_description_text | P3 | fs_opt | 1 | test |
U.S. Secretary of State Mike Pompeo has unveiled a far-reaching list of demands for any new nuclear deal with Iran, and threatened economy-crushing sanctions if Tehran does not change its behavior. The 12-point list of demands came in a Monday speech at the conservative Heritage Foundation that laid out the Trump admi... | After he tried to take a nap | quail_context_question_description_text | P3 | fs_opt | 0 | validation |
In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cinema, Government, and Le... | Parties | task1588_tecla_classification | NIv2 | fs_opt | 3 | train |
In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cinema, Government, and Le... | Parliament | task1588_tecla_classification | NIv2 | zs_opt | 0 | train |
In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cinema, Government, and Le... | Cinema | task1588_tecla_classification | NIv2 | fs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, B... | Parliament | task1588_tecla_classification | NIv2 | zs_opt | 1 | train |
Teacher: In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cinema, Governmen... | Cinema | task1588_tecla_classification | NIv2 | fs_opt | 2 | train |
Teacher:In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cinema, Government... | Health | task1588_tecla_classification | NIv2 | zs_opt | 6 | train |
Q: In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cinema, Government, and... | Tourism | task1588_tecla_classification | NIv2 | zs_opt | 7 | train |
In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cinema, Government, and Le... | Society | task1588_tecla_classification | NIv2 | fs_opt | 3 | train |
In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, Business, Judicial, European Union, Trade, Culture, Cinema, Government, and Le... | Health | task1588_tecla_classification | NIv2 | zs_opt | 4 | test |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a text in Catalan. Your task is to classify it into 19 different given themes. Names of all the classes are Society, Politics, Tourism, Health, Economy, Events, Parties, Education, Police, Environment, Parliament, B... | Parliament | task1588_tecla_classification | NIv2 | fs_opt | 1 | validation |
Please answer the following question: Article: Next time a customer comes to your office, offer him a cup of coffee.And when you're doing your holiday shopping online, make sure you're holding a large glass of iced tea.The physical sensation of warmth encourages emotional warmth, while a cold drink in hand prevents yo... | No | race_high_Is_this_the_right_answer | P3 | zs_noopt | 8 | train |
Article: I can still remember it as if it happened yesterday. I was a college freshman and had stayed up most of the night before laughing and talking with friends. Now just before my first class of the day my eyelids were feeling heavier and heavier and my head was drifting down to my desk to make my textbook a pillow... | No | race_high_Is_this_the_right_answer | P3 | fs_opt | 9 | train |
Article: For years I have been asked by several people how and why I came to translate a novel by Virginia Woolf in 1945. I graduated from the University of Ankara in 1941 and my four teachers, including Orphan Burian, are members of the Translation Bureau who prepared a list of works to be translated into Turkish and ... | No
------ | race_high_Is_this_the_right_answer | P3 | fs_opt | 5 | train |
Article: Traditional media platforms such as radio, television, newspaper and the Internet still cannot satisfy people living in fast - paced modern society. The highly technical development of mobile phones also nurtures the "thumb culture" and a new alternative media. With the aim of "putting the world in your... | Yes | race_high_Is_this_the_right_answer | P3 | zs_opt | 0 | train |
Article: In promising to fuse media as diverse as television, telephone communication, video games, music and data transmission, the era of digital convergence goes better than yesterday's celebrated "information superhighway." Yet achieving this single technology is far from straightforward. There are currently three ... | No | race_high_Is_this_the_right_answer | P3 | zs_opt | 0 | train |
Article: Smith was a landlord . He loved money very much and never gave anything to anybody. Soon he became rich. One day the weather was fine. There wasn't a cloud in the sky and the sun was very warm. The landlord was walking along a river with his friends, when, all of a sudden, he slipped and fell into it. He crie... | No | race_high_Is_this_the_right_answer | P3 | zs_opt | 2 | train |
Article: A boy won the grand prize at the 2012 International Science and Engineering Fair, the largest high school science competition in the world. The Maryland teenager Jack Andraka is the youngest winner of the $75,000 prize. He was chosen from among l,500 students in 70 countries. Jack invented a test for pancreat... | No | race_high_Is_this_the_right_answer | P3 | fs_opt | 7 | train |
Article: Charlie Bell became chief executive of McDonald's in April. Within a month doctors told him that he had color1ectal cancer. After stock market hours on November 22nd, the fast-food firm said he had resigned; it would need a third boss in under a year. Yet when the market opened, its share price barely dipped t... | No | race_high_Is_this_the_right_answer | P3 | zs_opt | 1 | train |
Please answer the following question: Article: One morning, Ann's neighbor Tracy found a lost dog wandering around the local elementary school. She asked Ann if she could keep an eye on the dog. Ann said that she could watch it only for the day. Tracy took photos of the dog and printed off 400 FOUND fliers , and put th... | No | race_high_Is_this_the_right_answer | P3 | zs_noopt | 8 | test |
(Question)
Article: Today, over six billion people live on the planet. This means that there are very few places on Earth with no people. One place that has very few people is at the bottom of the Earth. In Antarctica, the icy continent surrounding the South Pole, you will not find anyone who lives there all the time. ... | Yes | race_high_Is_this_the_right_answer | P3 | fs_opt | 6 | validation |
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