source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
values | template_type stringclasses 4
values | template_idx int64 0 17 | split stringclasses 3
values |
|---|---|---|---|---|---|---|
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.
ヨハネス・ワルターの音色は、ソリストとしては失格！美しいオーボエ... | 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]: 心地よいです . クラシックは初心者です。でも聞いたことがある曲ばかりで、心が穏やかになります。静かな喫茶店にいるような気分で、コーヒー片手に読書に没頭できまし... | 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:
タイトルにハラハラドキドキ . だが、、、、エロいを突詰めると哲学的になるという歌詞。 曲もロックしてて、大好きな歌の上位を占める。
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: アルトゥール・ルービンシュタインの豪華ボックス・セット . 今世紀を代表する大物ピアニストの一人、アルトゥール・ルービンシュタインの残した正規の録音をCD92枚... | 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.
どこへ行くDRAGON ASH . 売れることを意識したようなアルバム。運命共同体や繋がりSUNSETなどのように「誰かと一緒」であることを歌詞にしている。LILY 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: CDは味気ない 旧A面をまずは一気に聴かないと . リボルバーは随分と実験的なアルバムでしたが、その次のこのサージェント･ペパーズは息を... | 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: 安易に作って失敗したリミックスの典型 . パッケージと曲の内容につられて買いましたが、失敗でした。 吉宗ではリミックス版も出来が良かっ... | 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:
キースのギターを聴くなら・・・ . レビューでの評価が高くて意外ですが、ドラッグ漬けから立ち直ったキースがストーンズでギターを弾きた... | 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]: עכביש נוחת עליכם, ואתם עוברים התקפה גדולה בגלל שעכבישים מפחידים.
[EX A]: だからクモが落ちて来たら体が反射的にビクッとしますクモは怖いからです
[EX Q]: אנו רק בני 60, אך רוצים לחיות לעד כעיר, לחיות בשלום.
[EX A]: 私たちの街にはわずか60年の歴史しかありませんが平和の中での恒久的な繁栄を... | 彼はこの交響曲を書いた時耳がほとんど聞こえない深刻な状況にありました
| 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.
מה מייחד את המוח האנושי?
Solution: 人の脳の何がそんなに特別なのでしょうか ？
Why? The Hebrew sentence is correctly transla... | ネパールのカトマンズインドのダラムサラケニヤのタカウングにも ― タカウングはキリスト信者イスラム信者精霊信仰者が 3分の1ずつで構成されている社会ですペルーのオリャンタイタンボアラスカのアークティック・ビレッジ | 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.
לכן הייתי מרגיש הרבה יותר טוב בכל הנושא הזה אם היינו יכולים להראות איכשהו שגם עצם רגיל מציית למכניקה קוונטית.
A: | もし通常の物体も量子力学に従うことを何とか証明できれば全てが納得できると考えました | 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: וגם, ולא במקרה, עברנו עידן של המצאות אדירות, חברתיות ופוליטיות.
Output: | また意図的に社会政治的な改革も行ないました社会政治的な改革も行ないました | 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: אך גם הייתי מרדנית.
Output: | でも人並みな暮らしに対する反抗心もあり | 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: מה מייחד את המוח האנושי?
A: 人の脳の何がそんなに特別なのでしょうか ？
Rationale: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
Q: אמי באקרה, אחותי התאומה בבוסטון, החברים ... | アクラにいる母やボストンにいる双子の姉妹ニューヨークにいる親友彼らとの関係は私にとって故郷です | 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: אבל זוהי רק חצי תוכנית,
Student: | しかしそれは計画の半分でしかありません | 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: "" אני לא מבינה, פולי סויה?
Output: | 「大豆ってどういうこと ？ | 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: אז אתם רואים, לא משנה כמה פופולארי ומוצלח יכול להיות מרחב ציבורי, לעולם לא ניתן לקחת אותו כמובן מאליו.
Output: | 公共空間がどれほど人気があって成功していてもそれは当たり前だと思われるべきではありません | 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:
אז אני הולך להראות לכם, אני הולך, במקרה זה, ולהעביר אותו - וזה לא יותר מפוטושופ, לא דוגמנות — הזקן על האובייקט.
Ex Output:
髭を移してみましょうモデリングではなく単なる画像加工です被験者の髭をコピーします
Ex Input:
ילדים חיים על דברים. הם חיים מתחת לד... | これはネコが私たちと同じようにトランペットの音を聞いていることを示しているわけではありません
| 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 für 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.
Darüber 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 Probeaufführung "sehr schön" 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 mittelgroße mazedonische jüdische Gemeinde ist an der Mittelmeerküste, 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 hinzugefügt, 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 für 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 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.