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Q: In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Kadhi pakoda
A: | vegetarian | task1191_food_veg_nonveg | NIv2 | zs_opt | 7 | train |
Detailed Instructions: In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Problem:Prawn malai curry
Solution: | non vegetarian | task1191_food_veg_nonveg | NIv2 | zs_opt | 8 | train |
In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Q: Alu Pitika
A: non vegetarian
****
Q: Kadai paneer
A: vegetarian
****
Q: Vindaloo
A: | non vegetarian
****
| task1191_food_veg_nonveg | NIv2 | fs_opt | 4 | train |
In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Dharwad pedha | vegetarian | task1191_food_veg_nonveg | NIv2 | zs_opt | 0 | train |
In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
One example: Balu shahi
Solution is here: vegetarian
Explanation: Balu shahi is a vegetarian dish.
Now, solve this: Kheer sagar
Soluti... | vegetarian | task1191_food_veg_nonveg | NIv2 | fs_opt | 6 | train |
instruction:
In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
question:
Sohan papdi
answer:
vegetarian
question:
Singori
answer:
vegetarian
question:
Dhondas
answer:
| vegetarian
| task1191_food_veg_nonveg | NIv2 | fs_opt | 9 | train |
Q: In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Daal puri
A: | vegetarian | task1191_food_veg_nonveg | NIv2 | zs_opt | 7 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Balu shahi
So... | vegetarian | task1191_food_veg_nonveg | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Doodhpak
| vegetarian | task1191_food_veg_nonveg | NIv2 | zs_opt | 5 | test |
instruction:
In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
question:
Koldil Chicken
answer:
non vegetarian
question:
Aloo shimla mirch
answer:
vegetarian
question:
Sutar feni
an... | vegetarian
| task1191_food_veg_nonveg | NIv2 | fs_opt | 9 | validation |
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Q: Twenty-three-year-old Bree Kotomah almost gave up on a burgeoning career in fashion d... | 'My Instagram got hacked and I lost my business' | task1358_xlsum_title_generation | NIv2 | zs_opt | 4 | train |
Detailed Instructions: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Q: A US touring production of Jesus Christ Superstar starring for... | Jesus Christ Superstar US tour axed | task1358_xlsum_title_generation | NIv2 | zs_opt | 9 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Another st... | Third AstraZeneca pension strike goes ahead | task1358_xlsum_title_generation | NIv2 | zs_opt | 1 | train |
TASK DEFINITION: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
PROBLEM: July's hot weather failed to boost consumer spending in the UK... | 3D printing shop closes after accusations of idolatry
| task1358_xlsum_title_generation | NIv2 | fs_opt | 8 | train |
Detailed Instructions: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Q: Lego products are becoming increasingly violent as toymakers e... | Lego 'arms race': Bricks growing more violent, study says | task1358_xlsum_title_generation | NIv2 | zs_opt | 9 | train |
Definition: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Input: Suzanne Evans and Paul Nuttall have announced they are to run for the... | Suzanne Evans and Paul Nuttall run for UKIP leadership | task1358_xlsum_title_generation | NIv2 | zs_opt | 2 | train |
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
[EX Q]: Tens of thousands of Malians, mainly ethnic Tuaregs, fled into Mauritania last ... | Coronavirus: Kingspark School cluster rises to 27
| task1358_xlsum_title_generation | NIv2 | fs_opt | 6 | train |
instruction:
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
question:
More than 60 young people were sexually abused or exploited after... | Tesco to cut 4,500 jobs across 153 Metro stores
| task1358_xlsum_title_generation | NIv2 | fs_opt | 9 | train |
Detailed Instructions: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Q: Prosecutors intend to proceed with legal action involving a ve... | Case to proceed against Ivor Bell over McConville murder | task1358_xlsum_title_generation | NIv2 | zs_opt | 9 | test |
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Example input: For many Brazilians, Michel Temer's ascension to president was surprisin... | Paramedic abused by driver in Leicester for blocking road | task1358_xlsum_title_generation | NIv2 | fs_opt | 3 | validation |
Detailed Instructions: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lis... | [77, -38, -30, 100, -9, 23] | task207_max_element_lists | NIv2 | fs_opt | 4 | train |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Ex Input:
[[-45, 3... | [8, 5, 27, 48, 82, 99, 53]
| task207_max_element_lists | NIv2 | fs_opt | 1 | train |
Part 1. Definition
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
... | [55, -47, 69] | task207_max_element_lists | NIv2 | fs_opt | 7 | train |
instruction:
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
questi... | [51, -14, 96]
| task207_max_element_lists | NIv2 | fs_opt | 9 | train |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Q: [[-104, -62, -18... | [76, -154, 86, 90, 62, -117, 99] | task207_max_element_lists | NIv2 | zs_opt | 4 | train |
Given the task definition and input, reply with output. In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with t... | [90, 7, 82] | task207_max_element_lists | NIv2 | zs_opt | 5 | train |
Detailed Instructions: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lis... | [42, 97, 36, 96] | task207_max_element_lists | NIv2 | zs_opt | 8 | train |
Instructions: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Input... | [39, 64, 92, 80] | task207_max_element_lists | NIv2 | zs_opt | 3 | train |
Detailed Instructions: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lis... | [-5, 54] | task207_max_element_lists | NIv2 | fs_opt | 4 | test |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Let me give you an... | [89, 60, 63, 84, 26, 12, 96, 34, -2] | task207_max_element_lists | NIv2 | fs_opt | 8 | validation |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
This movie is S-L-O-W. Spent most of the movie actually waiting for it to 'begin'.The setting was bleak, the script was bleak, the cinematography ... | negative
| task284_imdb_classification | NIv2 | fs_opt | 1 | train |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | positive | task284_imdb_classification | NIv2 | fs_opt | 8 | train |
Part 1. Definition
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe P... | negative | task284_imdb_classification | NIv2 | fs_opt | 7 | train |
Given the task definition and input, reply with output. In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
but Thomas Ian Griffith just doesn't have the polish that a big bucks actor has, granted this was ma... | negative | task284_imdb_classification | NIv2 | zs_opt | 5 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
For a movie that gets no respect th... | negative | task284_imdb_classification | NIv2 | fs_opt | 0 | train |
Teacher:In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? Solve this instance: "La Furia del Hombre Lobo" forms a completely stand-alone storyline which doesn't seem to ... | negative | task284_imdb_classification | NIv2 | zs_opt | 6 | train |
Q: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
A slight, charming little movie to be sure, but a superbly-crafted one. Gwyneth Paltrow shines in this early showcase for her British accent, and the cast... | positive | task284_imdb_classification | NIv2 | zs_opt | 7 | train |
Detailed Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
See one example below:
Problem: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine... | negative | task284_imdb_classification | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Problem:This movie is a great way for the series to finally end. Peter (the boy from Puppet Master III) is all grown up and is now the... | positive | task284_imdb_classification | NIv2 | zs_opt | 8 | test |
Teacher: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
For a movie that gets no respect there sure are a lot of... | positive | task284_imdb_classification | NIv2 | fs_opt | 2 | validation |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| task1214_atomic_classification_xwant | NIv2 | fs_opt | 7 | train |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | task1214_atomic_classification_xwant | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | task1214_atomic_classification_xwant | NIv2 | zs_opt | 8 | train |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have t... | Yes | task1214_atomic_classification_xwant | NIv2 | zs_opt | 6 | train |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have t... | No | task1214_atomic_classification_xwant | NIv2 | zs_opt | 6 | train |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have t... | Yes | task1214_atomic_classification_xwant | NIv2 | zs_opt | 6 | train |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | task1214_atomic_classification_xwant | NIv2 | zs_opt | 3 | train |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ha... | Yes | task1214_atomic_classification_xwant | NIv2 | zs_opt | 2 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | Yes | task1214_atomic_classification_xwant | NIv2 | zs_opt | 1 | test |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Output: Yes
| task1214_atomic_classification_xwant | NIv2 | fs_opt | 2 | validation |
Q: What's the answer to that question: what college did steve nash play basketball for?
A: Santa Clara University
Q: What's the answer to that question: what jersey will the packers wear in the super bowl?
A: Dark green
Q: What's the answer to that question: which country does south africa border 2 the north?
A: Leso... | Dead Sea | web_questions_whats_the_answer | P3 | fs_opt | 2 | train |
Question: What's the answer to that question: who was the vice president during george w bush?
Answer: Dick Cheney
Question: What's the answer to that question: where was martin cooper from?
Answer: Chicago
Question: What's the answer to that question: who does danneel harris play on one tree hill?
Answer: | Rachel Gatina | web_questions_whats_the_answer | P3 | fs_opt | 3 | train |
What's the answer to that question: which countries use euro money?
Answer: | Italy | web_questions_whats_the_answer | P3 | zs_noopt | 1 | train |
What's the answer to that question: who is samantha gibb?
A: | Singer | web_questions_whats_the_answer | P3 | zs_noopt | 2 | train |
Answer the following question: What's the answer to that question: what was walt disney's first cartoon called?
Answer: | Steamboat Willie | web_questions_whats_the_answer | P3 | zs_noopt | 5 | train |
Question: What's the answer to that question: what year did dwayne wade came to the nba?
Answer: 2003 NBA Draft
[Q]: What's the answer to that question: which country does irish language come from?
****
[A]: Irish
input: Please answer the following: What's the answer to that question: where did the roma people come fro... | Constitutional monarchy | web_questions_whats_the_answer | P3 | fs_opt | 4 | train |
What's the answer to that question: what time is in san diego california?
A: | Pacific Time Zone | web_questions_whats_the_answer | P3 | zs_opt | 2 | train |
What's the answer to that question: who is steve nash married to?
| Alejandra Amarilla | web_questions_whats_the_answer | P3 | zs_opt | 0 | train |
What's the answer to that question: where did harriet tubman live after the civil war?
A: | Auburn | web_questions_whats_the_answer | P3 | zs_opt | 2 | test |
Q:What's the answer to that question: what is the economy of china?
A: | Socialist state | web_questions_whats_the_answer | P3 | zs_opt | 3 | validation |
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
--------
Question: Cincin di jariku tersangkut.
Jariku bengkak.... | cause
| task1171_xcopa_commonsense_cause_effect_id | NIv2 | fs_opt | 7 | train |
Detailed Instructions: In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Problem:Anak muda itu mendapatkan sebuah... | cause | task1171_xcopa_commonsense_cause_effect_id | NIv2 | zs_opt | 8 | train |
Definition: In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Input: Anak lelaki itu pindah dari rumahnya.
Dia ak... | cause | task1171_xcopa_commonsense_cause_effect_id | NIv2 | zs_opt | 2 | train |
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Example input: Barang itu dikemas dalam bungkus gelembung.
Bar... | effect | task1171_xcopa_commonsense_cause_effect_id | NIv2 | fs_opt | 3 | train |
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Example input: Barang itu dikemas dalam bungkus gelembung.
Bar... | cause | task1171_xcopa_commonsense_cause_effect_id | NIv2 | fs_opt | 3 | train |
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: Bocah itu tersesat di hutan.
Dia berteriak untuk pertolongan... | effect | task1171_xcopa_commonsense_cause_effect_id | NIv2 | zs_opt | 4 | train |
Given the task definition and input, reply with output. In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Lelaki... | cause | task1171_xcopa_commonsense_cause_effect_id | NIv2 | zs_opt | 5 | train |
Part 1. Definition
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Part 2. Example
Barang itu dikemas dalam bun... | cause | task1171_xcopa_commonsense_cause_effect_id | NIv2 | fs_opt | 7 | train |
Part 1. Definition
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Part 2. Example
Barang itu dikemas dalam bun... | effect | task1171_xcopa_commonsense_cause_effect_id | NIv2 | fs_opt | 7 | test |
Part 1. Definition
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Part 2. Example
Barang itu dikemas dalam bun... | effect | task1171_xcopa_commonsense_cause_effect_id | NIv2 | fs_opt | 7 | validation |
Given the task definition and input, reply with output. In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
ใจใใในใปใฏใซใฟใผใฎ้ณ่ฒใฏใใฝใชในใใจใใฆใฏๅคฑๆ ผ๏ผ็พใใใชใผใใจ... | NEG | task487_cls_japanese_music_classification | NIv2 | zs_opt | 5 | train |
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
[EX Q]: ๅฟๅฐใใใงใ . ใฏใฉใทใใฏใฏๅๅฟ่
ใงใใใงใ่ใใใใจใใใๆฒใฐใใใงใๅฟใ็ฉใใใซใชใใพใใ้ใใชๅซ่ถๅบใซใใใใใชๆฐๅใงใใณใผใใผ็ๆใซ่ชญๆธใซๆฒก้ ญใงใใพใ... | NEG
| task487_cls_japanese_music_classification | NIv2 | fs_opt | 6 | train |
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Ex Input:
ใฟใคใใซใซใใฉใใฉใใญใใญ . ใ ใใใใใใจใญใใ็ช่ฉฐใใใจๅฒๅญฆ็ใซใชใใจใใๆญ่ฉใ ๆฒใใญใใฏใใฆใฆใๅคงๅฅฝใใชๆญใฎไธไฝใๅ ใใใ
Ex Output... | NEG
| task487_cls_japanese_music_classification | NIv2 | fs_opt | 1 | train |
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example: ใขใซใใฅใผใซใปใซใผใใณใทใฅใฟใคใณใฎ่ฑช่ฏใใใฏในใปใปใใ . ไปไธ็ดใไปฃ่กจใใๅคง็ฉใใขใในใใฎไธไบบใใขใซใใฅใผใซใปใซใผใใณใทใฅใฟใคใณใฎๆฎใใๆญฃ่ฆใฎ้ฒ้ณใCD92ๆ... | Solution: POS | task487_cls_japanese_music_classification | NIv2 | fs_opt | 5 | train |
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
ใฉใใธ่กใDRAGON ASH . ๅฃฒใใใใจใๆ่ญใใใใใชใขใซใใ ใ้ๅฝๅ
ฑๅไฝใ็นใใSUNSETใชใฉใฎใใใซใ่ชฐใใจไธ็ทใใงใใใใจใๆญ่ฉใซใใฆใใใLILY OF DA... | NEG
| task487_cls_japanese_music_classification | NIv2 | fs_opt | 0 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall senti... | POS | task487_cls_japanese_music_classification | NIv2 | fs_opt | 0 | train |
Instructions: In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: CDใฏๅณๆฐใชใใๆงA้ขใใพใใฏไธๆฐใซ่ดใใชใใจ . ใชใใซใใผใฏ้ๅใจๅฎ้จ็ใชใขใซใใ ใงใใใใใใฎๆฌกใฎใใฎใตใผใธใงใณใ๏ฝฅใใใผใบใฏๆฏใ... | POS | task487_cls_japanese_music_classification | NIv2 | zs_opt | 3 | train |
Instructions: In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: ๅฎๆใซไฝใฃใฆๅคฑๆใใใชใใใฏในใฎๅ
ธๅ . ใใใฑใผใธใจๆฒใฎๅ
ๅฎนใซใคใใใฆ่ฒทใใพใใใใๅคฑๆใงใใใ ๅๅฎใงใฏใชใใใฏใน็ใๅบๆฅใ่ฏใใฃ... | NEG | task487_cls_japanese_music_classification | NIv2 | zs_opt | 3 | train |
instruction:
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
question:
ใญใผในใฎใฎใฟใผใ่ดใใชใใปใปใป . ใฌใใฅใผใงใฎ่ฉไพกใ้ซใใฆๆๅคใงใใใใใฉใใฐๆผฌใใใ็ซใก็ดใฃใใญใผในใในใใผใณใบใงใฎใฟใผใๅผพใใ... | NEG
| task487_cls_japanese_music_classification | NIv2 | fs_opt | 9 | test |
Teacher: In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? If you are still confused, see the followi... | NEG | task487_cls_japanese_music_classification | NIv2 | fs_opt | 2 | validation |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
[EX Q]: ืขืืืืฉ ื ืืืช ืขืืืื, ืืืชื ืขืืืจืื ืืชืงืคื ืืืืื ืืืื ืฉืขืืืืฉืื ืืคืืืืื.
[EX A]: ใ ใใใฏใขใ่ฝใกใฆๆฅใใไฝใๅๅฐ็ใซใใฏใใจใใพใใฏใขใฏๆใใใใงใ
[EX Q]: ืื ื ืจืง ืื ื 60, ืื ืจืืฆืื ืืืืืช ืืขื ืืขืืจ, ืืืืืช ืืฉืืื.
[EX A]: ็งใใกใฎ่กใซใฏใใใ60ๅนดใฎๆญดๅฒใใใใใพใใใๅนณๅใฎไธญใงใฎๆไน
็ใช็นๆ ใ... | ๅฝผใฏใใฎไบค้ฟๆฒใๆธใใๆ่ณใใปใจใใฉ่ใใใชใๆทฑๅปใช็ถๆณใซใใใพใใ
| task1235_ted_translation_he_ja | NIv2 | fs_opt | 6 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
ืื ืืืืื ืืช ืืืื ืืื ืืฉื?
Solution: ไบบใฎ่ณใฎไฝใใใใชใซ็นๅฅใชใฎใงใใใใ ๏ผ
Why? The Hebrew sentence is correctly transla... | ใใใผใซใฎใซใใใณใบใคใณใใฎใใฉใ ใตใฉใฑใใคใฎใฟใซใฆใณใฐใซใ โ ใฟใซใฆใณใฐใฏใญใชในใไฟก่
ใคในใฉใ ไฟก่
็ฒพ้ไฟกไปฐ่
ใ 3ๅใฎ1ใใคใงๆงๆใใใฆใใ็คพไผใงใใใซใผใฎใชใชใฃใณใฟใคใฟใณใใขใฉในใซใฎใขใผใฏใใฃใใฏใปใใฌใใธ | task1235_ted_translation_he_ja | NIv2 | fs_opt | 0 | train |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
ืืื ืืืืชื ืืจืืืฉ ืืจืื ืืืชืจ ืืื ืืื ืื ืืฉื ืืื ืื ืืืื ื ืืืืืื ืืืจืืืช ืืืืฉืื ืฉืื ืขืฆื ืจืืื ืืฆืืืช ืืืื ืืงื ืงืืื ืืืช.
A: | ใใ้ๅธธใฎ็ฉไฝใ้ๅญๅๅญฆใซๅพใใใจใไฝใจใ่จผๆใงใใใฐๅ
จใฆใ็ดๅพใงใใใจ่ใใพใใ | task1235_ted_translation_he_ja | NIv2 | zs_opt | 7 | train |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: ืืื, ืืื ืืืงืจื, ืขืืจื ื ืขืืื ืฉื ืืืฆืืืช ืืืืจืืช, ืืืจืชืืืช ืืคืืืืืืืช.
Output: | ใพใๆๅณ็ใซ็คพไผๆฟๆฒป็ใชๆน้ฉใ่กใชใใพใใ็คพไผๆฟๆฒป็ใชๆน้ฉใ่กใชใใพใใ | task1235_ted_translation_he_ja | NIv2 | zs_opt | 3 | train |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: ืื ืื ืืืืชื ืืจืื ืืช.
Output: | ใงใไบบไธฆใฟใชๆฎใใใซๅฏพใใๅๆๅฟใใใ | task1235_ted_translation_he_ja | NIv2 | zs_opt | 3 | train |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
One example is below.
Q: ืื ืืืืื ืืช ืืืื ืืื ืืฉื?
A: ไบบใฎ่ณใฎไฝใใใใชใซ็นๅฅใชใฎใงใใใใ ๏ผ
Rationale: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
Q: ืืื ืืืงืจื, ืืืืชื ืืชืืืื ืืืืกืืื, ืืืืจืื ... | ใขใฏใฉใซใใๆฏใใในใใณใซใใๅๅญใฎๅงๅฆนใใฅใผใจใผใฏใซใใ่ฆชๅๅฝผใใจใฎ้ขไฟใฏ็งใซใจใฃใฆๆ
้ทใงใ | task1235_ted_translation_he_ja | NIv2 | fs_opt | 9 | train |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: ืืื ืืืื ืจืง ืืฆื ืชืืื ืืช,
Student: | ใใใใใใฏ่จ็ปใฎๅๅใงใใใใใพใใ | task1235_ted_translation_he_ja | NIv2 | zs_opt | 6 | train |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: "" ืื ื ืื ืืืื ื, ืคืืื ืกืืื?
Output: | ใๅคง่ฑใฃใฆใฉใใใใใจ ๏ผ | task1235_ted_translation_he_ja | NIv2 | zs_opt | 2 | train |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: ืื ืืชื ืจืืืื, ืื ืืฉื ื ืืื ืคืืคืืืืจื ืืืืฆืื ืืืื ืืืืืช ืืจืื ืฆืืืืจื, ืืขืืื ืื ื ืืชื ืืงืืช ืืืชื ืืืืื ืืืืื.
Output: | ๅ
ฌๅ
ฑ็ฉบ้ใใฉใใปใฉไบบๆฐใใใฃใฆๆๅใใฆใใฆใใใใฏๅฝใใๅใ ใจๆใใใในใใงใฏใใใพใใ | task1235_ted_translation_he_ja | NIv2 | zs_opt | 2 | test |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Ex Input:
ืื ืื ื ืืืื ืืืจืืืช ืืื, ืื ื ืืืื, ืืืงืจื ืื, ืืืืขืืืจ ืืืชื - ืืื ืื ืืืชืจ ืืคืืืืฉืืค, ืื ืืืืื ืืช โ ืืืงื ืขื ืืืืืืืงื.
Ex Output:
้ซญใ็งปใใฆใฟใพใใใใขใใชใณใฐใงใฏใชใๅใชใ็ปๅๅ ๅทฅใงใ่ขซ้จ่
ใฎ้ซญใใณใใผใใพใ
Ex Input:
ืืืืื ืืืื ืขื ืืืจืื. ืื ืืืื ืืชืืช ืื... | ใใใฏใใณใ็งใใกใจๅใใใใซใใฉใณใใใใฎ้ณใ่ใใฆใใใใจใ็คบใใฆใใใใใงใฏใใใพใใ
| task1235_ted_translation_he_ja | NIv2 | fs_opt | 1 | validation |
TASK DEFINITION: Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
PROBLEM: Er wurde 1949 in die New Yorker Anwaltskammer aufgenommen und begann seine Praxis in New York City.
SOLUTION: In 1949 , he was ad... | Throughout her relationship , the couple lived in Los Angeles , though Seymour spent more time in London and Los Angeles for their work .
| task801_pawsx_german_english_translation | NIv2 | fs_opt | 8 | train |
Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Ex Input:
Am 7. Juli 2011 wurde Russell fรผr Kris Russell an den Columbus Blue Jackets gehandelt und schloss sich seinem Bruder Michael Blunden der Blue Jac... | There were also several animatronic characters created ... a giant goose ( Galaga ) and an animatronic head for the doll 's cernos .
| task801_pawsx_german_english_translation | NIv2 | fs_opt | 1 | train |
Given the task definition and input, reply with output. Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Darรผber hinaus sind viele Angika-Sprecher in den Persischen Golf, die Vereinigten Staaten, Kanada, ... | Moreover , many Angika speakers in the Persian Gulf have emigrated to the United Kingdom , the United States , Canada , and other countries . | task801_pawsx_german_english_translation | NIv2 | zs_opt | 5 | train |
Teacher:Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: Andrea Bocelli nannte ihre Probeauffรผhrung "sehr schรถn" und David Foster bezeichnete ihre... | Andrea Andrea Bocelli called her sample performance " very nice " , and David Foster called her voice spectacular . | task801_pawsx_german_english_translation | NIv2 | zs_opt | 6 | train |
Q: Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Ich habe Francis Bacon-Figuren in einer Landschaft von Sidney Nolan geschaffen, die von Jean Cocteau-Stunts inspiriert wurde.
A: | I created Francis Bacon figures in a Sidney Nolan landscape , with stunts inspired by Jean Cocteau. " | task801_pawsx_german_english_translation | NIv2 | zs_opt | 7 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Die NBA-Saison 1975 - 76 war die 3... | The conclusions are that we are all perfect spiritual notions of one divine spirit and manifest the spirit , not a material body . | task801_pawsx_german_english_translation | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Eine mittelgroรe mazedonische jรผdische Gemeinde ist an der Mittelmeerkรผste, vor allem in Nordisrael... | A small-medium Macedonian Jewish community has a very long presence on the Mediterranean coast , especially in Gush Dan and northern Israel . | task801_pawsx_german_english_translation | NIv2 | zs_opt | 5 | train |
Definition: Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Input: Diese entsprechen geografisch den traditionellen Bezirken Glasgow District, South, Edinburgh District sowie North und Midlands.
Output: | These geographically roughly correspond to the traditional districts of Glasgow District , South , Edinburgh District and North and Midlands . | task801_pawsx_german_english_translation | NIv2 | zs_opt | 2 | train |
Teacher:Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: Im Jahr 1406 hatte er den Juliana Anicia Codex of Dioscurides hinzugefรผgt, Rebound und ei... | In 1406 he had the Juliana Anicia Codex of Dioscurides added , rebound , and a table of contents and minuscule scholia restored in Byzantine Greek extensive . | task801_pawsx_german_english_translation | NIv2 | zs_opt | 6 | test |
Teacher:Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: Diese Serie war exklusiv fรผr Wal-Mart Canada, wurde jedoch online im Spawn Store verkauft... | This series was exclusive to Wal-Mart Canada but was eventually sold in the Spawn Store online . | task801_pawsx_german_english_translation | NIv2 | zs_opt | 6 | validation |
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