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Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Input: Sentence 1: Millie was baking cookies.
Sentence 3: Suddenly, her arm bumped into the bright orange heating element
Sentence 4: She immediately stuck the burned area under some cold water
Sentence 5: Still, she got a fairly gnarly burn mark that lasted for a week
Given Sentence 2: When she arrived, she realized she had forgotten the shopping list.
Output:
|
No
|
task066_timetravel_binary_consistency_classification
|
NIv2
|
zs_opt
| 3
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Sentence 1: Lily wanted to make a garland for her dad's birthday.
Sentence 3: Suddenly, she had a new idea
Sentence 4: She made a chain of paper loops
Sentence 5: Then, she hung them up in the house for her dad
Given Sentence 2: She tried a few ideas, but they all broke.
Output:
|
Yes
|
task066_timetravel_binary_consistency_classification
|
NIv2
|
zs_opt
| 1
|
train
|
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
One example: Sentence 1: The cashier was counting the dollar bills at her desk.
Sentence 3: Everyone panicked and started to scream.
Sentence 4: The men threatened the people to remain quiet.
Sentence 5: The cashier handed them the cash so they would go away.
Given Sentence 2: Two men rushed into the store and held their guns up.
Solution is here: Yes
Explanation: People panic when somebody holds their guns up. Sentence 2 correctly connects Sentence 1 with rest of the story. So, the answer is 'Yes'.
Now, solve this: Sentence 1: Jack wanted to play basketball.
Sentence 3: So he decided to play basketball inside
Sentence 4: His basketball hit the television
Sentence 5: And Jack was forced to stop
Given Sentence 2: But it was raining outside.
Solution:
|
Yes
|
task066_timetravel_binary_consistency_classification
|
NIv2
|
fs_opt
| 6
|
train
|
TASK DEFINITION: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
PROBLEM: Sentence 1: The train conductor looked up from his controls.
Sentence 3: He blew the train whistle to alert him
Sentence 4: The man refused to move
Sentence 5: The conductor also didn't move because he didn't know to do
Given Sentence 2: There was a man on the tracks ahead.
SOLUTION: Yes
PROBLEM: Sentence 1: My sister-in-law called me yesterday.
Sentence 3: I could not tell her how to do it, as she had an old slide phone
Sentence 4: I had to go to youtube to get lessons
Sentence 5: I called her today but her daughter had fixed the problem
Given Sentence 2: He traveled by airplane.
SOLUTION: No
PROBLEM: Sentence 1: Colleen wanted to get in shape.
Sentence 3: She decided to make a poster with inspirational sayings on it
Sentence 4: She hung it up in her room and looked at it every day
Sentence 5: It helped her stay motivated when she was feeling defeated
Given Sentence 2: However she was having a hard time feeling motivated.
SOLUTION:
|
Yes
|
task066_timetravel_binary_consistency_classification
|
NIv2
|
fs_opt
| 8
|
train
|
Given the task definition and input, reply with output. In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Sentence 1: Two fishermen were crab fishing in the deep sea.
Sentence 3: The fishermen stressed and called the police
Sentence 4: A helicopter arrived shortly for the fishermen
Sentence 5: The fishermen were rescued
Given Sentence 2: She went on a trip to see the forests and lakes.
|
No
|
task066_timetravel_binary_consistency_classification
|
NIv2
|
zs_opt
| 5
|
train
|
Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Input: Sentence 1: Jenny was tired from work.
Sentence 3: Jenna decided to take a thirty minute nap
Sentence 4: However, Jenna overslept
Sentence 5: She is late to her second job
Given Sentence 2: She needs to go to her second job in a couple hours.
Output:
|
Yes
|
task066_timetravel_binary_consistency_classification
|
NIv2
|
zs_opt
| 3
|
train
|
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Ex Input:
Sentence 1: Ron was a perfectionist.
Sentence 3: But he spent too much time planning
Sentence 4: Ron spent 2 hours planning a trip to the park
Sentence 5: But right as he was about to leave, it started to rain
Given Sentence 2: So he carefully planned out everything he did.
Ex Output:
Yes
Ex Input:
Sentence 1: Bob's lawn was needing mowing again.
Sentence 3: There had been lots of rain and the grass was really growing
Sentence 4: Bob fired up the push mower and set to work
Sentence 5: He finished with a sense of pride and sweat on his brow
Given Sentence 2: He felt like he had just cut the grass a couple of days ago.
Ex Output:
Yes
Ex Input:
Sentence 1: Amy went to the Mall of America.
Sentence 3: When it was time to go home she went to the parking garage
Sentence 4: Amy couldn't find her car
Sentence 5: She walked around for an hour before she found her car
Given Sentence 2: I decided to write her a love note.
Ex Output:
|
No
|
task066_timetravel_binary_consistency_classification
|
NIv2
|
fs_opt
| 1
|
train
|
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Example input: Sentence 1: The cashier was counting the dollar bills at her desk.
Sentence 3: Everyone panicked and started to scream.
Sentence 4: The men threatened the people to remain quiet.
Sentence 5: The cashier handed them the cash so they would go away.
Given Sentence 2: Two men rushed into the store and held their guns up.
Example output: Yes
Example explanation: People panic when somebody holds their guns up. Sentence 2 correctly connects Sentence 1 with rest of the story. So, the answer is 'Yes'.
Q: Sentence 1: Candace, a pregnant woman, was shopping at the store.
Sentence 3: Soon she was feeling full blown contractions
Sentence 4: Suddenly, she realized she was out of time and the baby was imminent
Sentence 5: She ended up giving birth in the store!
Given Sentence 2: She decided to shop for clothes she liked and not care about the size.
A:
|
No
|
task066_timetravel_binary_consistency_classification
|
NIv2
|
fs_opt
| 3
|
train
|
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
[EX Q]: Sentence 1: Jim was in a hurry to return his book to the library.
Sentence 3: Since he saw no one coming, he rolled through it
Sentence 4: An old man on the sidewalk yelled at Jim
Sentence 5: Jim felt guilty and sped away from the old man
Given Sentence 2: He drove his car to a stop sign.
[EX A]: Yes
[EX Q]: Sentence 1: A new doctor was trying on his new lab coat for his first day.
Sentence 3: He tried to scrub it out but to no avail
Sentence 4: From that day on, he was known as Doctor Spot
Sentence 5: He never liked that name
Given Sentence 2: There was a bright green spot on his pristine coat.
[EX A]: Yes
[EX Q]: Sentence 1: Jill knew she left her math homework on the table.
Sentence 3: She looked all over for it
Sentence 4: Then she saw her black Lab Izzy with some papers in her mouth
Sentence 5: It was Jill's math homework
Given Sentence 2: However, when she went to put it in her backpack it wasn't there.
[EX A]:
|
Yes
|
task066_timetravel_binary_consistency_classification
|
NIv2
|
fs_opt
| 6
|
test
|
TASK DEFINITION: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
PROBLEM: Sentence 1: My sister-in-law called me yesterday.
Sentence 3: I could not tell her how to do it, as she had an old slide phone
Sentence 4: I had to go to youtube to get lessons
Sentence 5: I called her today but her daughter had fixed the problem
Given Sentence 2: He traveled by airplane.
SOLUTION: No
PROBLEM: Sentence 1: I went to go drink some of my whiskey.
Sentence 3: I figured out that my son had taken some
Sentence 4: I confronted him and he confessed
Sentence 5: I grounded him for 3 months
Given Sentence 2: I realized that a little bit was missing from the bottle.
SOLUTION: Yes
PROBLEM: Sentence 1: Lauren made fun of her brother.
Sentence 3: Lauren told her mom
Sentence 4: Her mom grounded her brother
Sentence 5: Her brother felt angry at being grounded
Given Sentence 2: Her brother pushed her down.
SOLUTION:
|
Yes
|
task066_timetravel_binary_consistency_classification
|
NIv2
|
fs_opt
| 8
|
validation
|
Detailed Instructions: The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
Q: find a " mexican " restaurant with 0 or more stars .
A:
|
رستوراني " mexican " با 0 ستاره به بالا پيدا کنيد.
|
task172_spl_translation_en_fa
|
NIv2
|
zs_opt
| 9
|
train
|
The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
Ex Input:
what are the prices for the 2 highest rated " italian " restaurants in " roanoke , va " ?
Ex Output:
قيمت رستورانهاي " italian " با بيشترين امتياز 2 در " roanoke , va " چند است؟
Ex Input:
search for " italian " restaurants .
Ex Output:
دنبال رستورانهای " italian " بگرد.
Ex Input:
are there any " mexican " restaurants with more than 1 reviews ?
Ex Output:
|
رستوران " mexican " با بیشتر از 1 نظر وجود دارد؟
|
task172_spl_translation_en_fa
|
NIv2
|
fs_opt
| 1
|
train
|
Definition: The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
Input: find restaurants in " denver , colorado " .
Output:
|
رستورانهای " denver , colorado " را پیدا کن.
|
task172_spl_translation_en_fa
|
NIv2
|
zs_opt
| 2
|
train
|
Definition: The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
Input: show me " mediterranean " restaurants ?
Output:
|
رستورانهای " mediterranean " را به من نشان بده؟
|
task172_spl_translation_en_fa
|
NIv2
|
zs_opt
| 2
|
train
|
Part 1. Definition
The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
Part 2. Example
are there any " italian " restaurants nearby with 1 star reviews ?
Answer: آيا هيچ رستوران " italian " در اين نزديکي با نقد و بررسي 1 ستاره وجود دارد؟
Explanation: The translation correctly preserves " italian " entity and is accurate
Part 3. Exercise
what is the address of the nearest " coffee " shop ?
Answer:
|
آدرس نزدیکترین فروشگاه " coffee " چیست ؟
|
task172_spl_translation_en_fa
|
NIv2
|
fs_opt
| 7
|
train
|
The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
Q: please tell me the location of " dave 's seafood shack " .
A:
|
لطفاً نشانی " dave 's seafood shack " را به من بگو.
|
task172_spl_translation_en_fa
|
NIv2
|
zs_opt
| 4
|
train
|
The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
Let me give you an example: are there any " italian " restaurants nearby with 1 star reviews ?
The answer to this example can be: آيا هيچ رستوران " italian " در اين نزديکي با نقد و بررسي 1 ستاره وجود دارد؟
Here is why: The translation correctly preserves " italian " entity and is accurate
OK. solve this:
locate all " italian " restaurants .
Answer:
|
محل همه رستورانهاي " italian " را پيدا کنيد.
|
task172_spl_translation_en_fa
|
NIv2
|
fs_opt
| 8
|
train
|
Detailed Instructions: The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
Q: search for a " mexican " restaurant .
A:
|
دنبال رستوران " mexican " بگرد.
|
task172_spl_translation_en_fa
|
NIv2
|
zs_opt
| 9
|
train
|
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
Example: are there any " italian " restaurants nearby with 1 star reviews ?
Output: آيا هيچ رستوران " italian " در اين نزديکي با نقد و بررسي 1 ستاره وجود دارد؟
The translation correctly preserves " italian " entity and is accurate
New input case for you: where is the nearest " chinese " place ?
Output:
|
نزدیکترین رستوران " chinese " کجاست؟
|
task172_spl_translation_en_fa
|
NIv2
|
fs_opt
| 1
|
test
|
TASK DEFINITION: The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
PROBLEM: please show me reviews that were written for " cracker barrel " this year .
SOLUTION: لطفاً نقدهایی که برای " cracker barrel " امسال نوشته شده است را نشان بده.
PROBLEM: can you show me " italian " restaurants ?
SOLUTION: آیا میتوانی رستورانهای " italian " را به من شنان بدهی؟
PROBLEM: show me any " mexican " restaurant .
SOLUTION:
|
همه رستورانهای " mexican " را به من نشان بده.
|
task172_spl_translation_en_fa
|
NIv2
|
fs_opt
| 8
|
validation
|
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Q: 「機械学習」を教えていますこの授業は毎年400人が受講登録していますが
A:
|
این کلاس فراگیری ماشینی است ، و هر بار ارائه می شود ۴۰۰ نفر دانشجو می گیرد.
|
task1098_ted_translation_ja_fa
|
NIv2
|
zs_opt
| 4
|
train
|
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Output: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
The Japanese sentence is correctly translated into Farsi, because the meaning is preserved.
New input case for you: ここではその内３つの話をします
Output:
|
ما قصد داريم تنها در مورد يه تا از آنها صحبت كنيم.
|
task1098_ted_translation_ja_fa
|
NIv2
|
fs_opt
| 1
|
train
|
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Teacher: Now, understand the problem? If you are still confused, see the following example:
私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Solution: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Reason: The Japanese sentence is correctly translated into Farsi, because the meaning is preserved.
Now, solve this instance: 私たちの現状については他にも残念なことがありますみんなのウンチやオシッコは半分が農地の肥料として使われて
Student:
|
مانع دیگر در اینجا به وضعیت کنونی ما برمی گردد که نیمی از همه مدفوع و ادرار شما صرف کوددهی مزارع کشاورزی می گردد.
|
task1098_ted_translation_ja_fa
|
NIv2
|
fs_opt
| 2
|
train
|
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Q: 文字を並べ替えて単語を作ります答えは内蔵の辞書が判定します
A:
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اصولا ، در هر دور روی هر سیفتابل يك حرف تصادفي ظاهر می شود ، و در حيني كه كلمه مي سازيد ، آن را از يك ديكشنري چك مي كند.
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task1098_ted_translation_ja_fa
|
NIv2
|
zs_opt
| 4
|
train
|
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Problem:ただしセックスの体位や多彩なテクニックという新しさではありません
Solution:
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البته نوآوری به معني استفاده از تكنيك های تازه و موقعيت های جديد نيست ؛ بلكه
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task1098_ted_translation_ja_fa
|
NIv2
|
zs_opt
| 8
|
train
|
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example input: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Example output: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Example explanation: The Japanese sentence is correctly translated into Farsi, because the meaning is preserved.
Q: そこで我々のチームは完全な細菌の染色体をイースト菌の中で成長させクローンを作成する新技術を開発しました
A:
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لذا تیم ما روش های جدیدی ابداع کرد برای عملاً رشد دادن و شبيه سازی کروموزم های کامل باکتری در مخمر.
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task1098_ted_translation_ja_fa
|
NIv2
|
fs_opt
| 3
|
train
|
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Input: このような感じでしょう
Output:
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این شکل آزمایشگاه فرانکِنشتاین است.
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task1098_ted_translation_ja_fa
|
NIv2
|
zs_opt
| 2
|
train
|
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Q: 一度結合されるとがん細胞はナノ粒子を取り込みがん細胞の中にナノ粒子が入りますこれで闘う準備が出来ました
A:
|
به محض اتصال ، سلول سرطانی نانو ذره را جذب می کند ، و حالا نانو ذره ما به درون سلول سرطانی راه یافته و آماده رها سازی است.
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task1098_ted_translation_ja_fa
|
NIv2
|
zs_opt
| 4
|
train
|
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Example solution: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Example explanation: The Japanese sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: 第１陣が現地入りして人命救助をし洪水の危険性などを緩和することさえできればその後現地入りする人たちの仕事は水道 ､ 道路 ､ 電気の復旧ということになります従って建設業や保険会社の社員も現地入りして家屋を再建できるので経済を復興できるのですまた次の被災時により迅速な復興対応ができるかもしれません
|
Solution: اگر نیروهای امدادی بتوانند به محل برسند ، زندگی ها را نجات دهند هر نوع خطر روی داده را که وجود دارد تخفیف دهند ، یعنی که گروه های دیگر می توانند برای ترمیم آبرسانی ، جاده و الکتریسیته بیایند که یعنی نیروهای ساختمانی ، ماموران بیمه ، همگی قادر خواهند بود برای ساختن خانه ها خود را به محل برسانند ، که یعنی می توان اقتصاد را دوباره برپا کرد ، و حتی آنرا بهسازی هم کرد و مقاوم تر در برابر فاجعۀ بعدی
|
task1098_ted_translation_ja_fa
|
NIv2
|
fs_opt
| 5
|
test
|
TASK DEFINITION: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
PROBLEM: 彼らは起こりうる事態への覚悟を決めています「これから議論が起こり隣人や同僚や友人達と言い争うことになるだろうがこんな争いにも強くなろう」
SOLUTION: و کاری که آنها مستعد انجامش هستند این است که تشخیص دهند که بله این میتواند یک موضوع بحث باشد و بله من قصد دارم که در قیل و قال زیادی به همراه همسایگانم ، همکاران و دوستانم در این مورد داشته باشم ، اما می خواهم در این مبارزه خیلی خوب باشم.
PROBLEM: 50年前と変わっていないものなんて他に思いつかないですね
SOLUTION: آیا شما میتونید یک چیز دیگر رو نام ببرید که مثل ۵۰ سال قبلش به نظر بیاد ؟
PROBLEM: つまり、突き詰めると、シンプリシティーとは、いかに楽しみを増やし、苦労を減らして人生を生きるかということなのです。
SOLUTION:
|
خُب برای اینکه همه را راحت کنیم ، سادگی دربازه زندگی لذت بیشتر و رنج کمتر است. خُب برای اینکه همه را راحت کنیم ، سادگی دربازه زندگی لذت بیشتر و رنج کمتر است.
|
task1098_ted_translation_ja_fa
|
NIv2
|
fs_opt
| 8
|
validation
|
Teacher: Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? If you are still confused, see the following example:
Was Michelangelo straight though? I mean, being a pizza-maniac ninja would indicate so, but... You never know.
Solution: yes
Reason: This text has indentity directed abuse because it is trying to judge sexual orientation of Michelangelo. Hence, the answer is "yes"
Now, solve this instance: \> finding your own voice \> just doing what everyone else does by following the arbitrary rules set by invasion mods
Student:
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yes
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task108_contextualabusedetection_classification
|
NIv2
|
fs_opt
| 2
|
train
|
Definition: Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
Input: Even crazier when you find out Mega Metagross is uber.
Output:
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no
|
task108_contextualabusedetection_classification
|
NIv2
|
zs_opt
| 2
|
train
|
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
Example: Was Michelangelo straight though? I mean, being a pizza-maniac ninja would indicate so, but... You never know.
Example solution: yes
Example explanation: This text has indentity directed abuse because it is trying to judge sexual orientation of Michelangelo. Hence, the answer is "yes"
Problem: "Just a friendly reminder that real men help animals, not harm them. It's a mantra Ron Thomson has ignored for 50 years, killing anything in his way."
|
Solution: no
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task108_contextualabusedetection_classification
|
NIv2
|
fs_opt
| 5
|
train
|
Detailed Instructions: Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
Q: Now I'm starting to see the benefits.
A:
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no
|
task108_contextualabusedetection_classification
|
NIv2
|
zs_opt
| 9
|
train
|
TASK DEFINITION: Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
PROBLEM: Thanks. I am doing my best to grow and move past this. I just keep getting caught in a pit and think how could she do this to the person she claimed was her soul mate. Like fuck we were so close and she just...Im doing alot now to keep myself occupied. Thank you for your response. Means alot to me.
SOLUTION: no
PROBLEM: Yes, actual, you do. That is how assertions work. You cite the evidence. You don't go "gravity is a government plot to keep women down" and have people believe you without proof, sparkletits.
SOLUTION: yes
PROBLEM: This post was removed by r/formula1 in the name of "low quality"!!! I ask why...!?? Link below.
SOLUTION:
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no
|
task108_contextualabusedetection_classification
|
NIv2
|
fs_opt
| 8
|
train
|
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
Q: They are scammers making bank off of basement socialists and suburban tankies.
A:
|
yes
|
task108_contextualabusedetection_classification
|
NIv2
|
zs_opt
| 4
|
train
|
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
Let me give you an example: Was Michelangelo straight though? I mean, being a pizza-maniac ninja would indicate so, but... You never know.
The answer to this example can be: yes
Here is why: This text has indentity directed abuse because it is trying to judge sexual orientation of Michelangelo. Hence, the answer is "yes"
OK. solve this:
No, dig up, stupid.
Answer:
|
no
|
task108_contextualabusedetection_classification
|
NIv2
|
fs_opt
| 8
|
train
|
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
Q: Oh look, they're a bunch of IRL losers. What a shock.
A:
|
yes
|
task108_contextualabusedetection_classification
|
NIv2
|
zs_opt
| 4
|
train
|
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
Example Input: Not cool man, too soon.
Example Output: no
Example Input: Thank fuck I don't know what that subreddit and it's pathetic mods are about.
Example Output: yes
Example Input: Just snitched on him for suspension evasion my man
Example Output:
|
no
|
task108_contextualabusedetection_classification
|
NIv2
|
fs_opt
| 3
|
test
|
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
Example input: Was Michelangelo straight though? I mean, being a pizza-maniac ninja would indicate so, but... You never know.
Example output: yes
Example explanation: This text has indentity directed abuse because it is trying to judge sexual orientation of Michelangelo. Hence, the answer is "yes"
Q: I'm still waiting for evidence there was a noose. She's not claiming unsafe storage of rope as a dangerous practice in the factory, she's claiming somebody hung a noose up to intimidate black people. She took pictures and video of a rope that isn't a noose, so she hasn't even come close to providing evidence of her claim yet.
A:
|
no
|
task108_contextualabusedetection_classification
|
NIv2
|
fs_opt
| 3
|
validation
|
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Example Input: Premise: دیگر روایاتی که پیرامون اقدامات طغرل بیان شده، بازسازی ابنیه و عمارات اصفهان پس از حمله به آن شهر و تخریب آن است، که حتی نظر ناصرخسرو را نیز جلب کرده و بیان کرده که نام طغرل را بر دروازهٔ شهر خان لنجان، واقع در هفت فرسنگی اصفهان، حک نمودند و مردم نیز به اصفهان بازگشتند. <sep> Hypothesis: از اقدامات طغرل تخریب بناها و عمارات تاریخی اصفهان پس از حمله به آن شهر است.
Example Output: Contradiction
Example Input: Premise: حتی نزدیک بود با یکدیگر ازدواج کنند ولی ریون (هم تیمی آنها) که در آن زمان روح شیطانیاش بر او مسلط بود مراسم ازدواج را به هم زد و روابط بین آنها هم پس از مدتی از بین رفت. <sep> Hypothesis: روابط آنها پس از دخالتهای ریون خدشه دار شد و از هم جدا شدند.
Example Output: Entailment
Example Input: Premise: و کارها خیلی زیاد برای شروع کردن بودند و هنوز آن را تمام نکرده ام ، زیرا من متوقف شدم و متوقف شدم و فکر کردم بهتر است کارهای ساده ای را انجام دهم و به این کار بپردازم زیرا انجام این کار بسیار دشوار بود و سایه ها و رنگ های مختلف زیادی وجود داشتند و <sep> Hypothesis: من خسته شدم. کار کردن با آن خیلی سخت بود.
Example Output:
|
Entailment
|
task463_parsinlu_entailment_classification
|
NIv2
|
fs_opt
| 3
|
train
|
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Premise: کسب این موفقیت در زمینه کیفیت تولیدات ایران خودور نتیجه اقدامات مشترک و نظام یافته کلیه واحدهای سازمانی این شرکت است. <sep> Hypothesis: موفقیت ایران خودرو نتیجهای اتفاقی است.
|
Contradiction
|
task463_parsinlu_entailment_classification
|
NIv2
|
zs_opt
| 0
|
train
|
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Premise: مقبره ۵۷ برای خائمات ، با تندیس هایی از خودش و خانواده اش تزئین شده است که برای مقبره هایی از این نوع بسیار نادر است. <sep> Hypothesis: مقبره با مجسمه ها تزئین شده است.
Entailment
Premise: آه خب به هر حال پس خرید بعدی شما چه انتظار میرود باشد؟ <sep> Hypothesis: بعدا یک ماشین میخرید.
Neutral
Premise: در سال ۱۷۲۸ میلادی داویت بک بدرود حیات میگوید و مخیتار اسپاراپت رهبری نیروهای ارمنی را برعهده میگیرد ولی در بین سپاهیان ارمنی نفاق میافتد و به دو دستگی نیروها میانجامد و مخیتار اسپاراپت به نحو خائنانهای در سال ۱۷۳۰ میلادی کشته میشود و در همین سال نیز نبرد آزادی بخش سیونیک دچار شکست میگردد. <sep> Hypothesis: رهبری نیروهای ارمنی از سال 1728 تا 1730 به دست مخیتار اسپاراپت بود
|
Entailment
|
task463_parsinlu_entailment_classification
|
NIv2
|
fs_opt
| 0
|
train
|
Instructions: In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Input: Premise: واقع در ایرانشهر مکران (بلوچستان)، از لحاظ تاریخی یکی از قدیمیترین شهرهای ایران بهشمار میرود و براساس کاوشهایی که در اطراف آن انجام شده، تاریخ پیدایش آن به زمان ساسانیان و اشکانیان برمی گردد. <sep> Hypothesis: یکی از قدیمیترین شهرهای ایران در ایرانشهر قرارد دارد که تاریخ آن به اشکانیان برمیگردد.
Output:
|
Entailment
|
task463_parsinlu_entailment_classification
|
NIv2
|
zs_opt
| 3
|
train
|
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Example Input: Premise: جبهه ملی افغانستان در تمامی انتخاباتهای افغانستان شرکت نموده است اما تاکنون نتوانسته به عنوان یک نیروی غالب در عرصه سیاسی ظاهر شود. <sep> Hypothesis: جبهه ملی افغانستان یک نیروی قوی در سیاست این کشور است.
Example Output: Contradiction
Example Input: Premise: حتی نزدیک بود با یکدیگر ازدواج کنند ولی ریون (هم تیمی آنها) که در آن زمان روح شیطانیاش بر او مسلط بود مراسم ازدواج را به هم زد و روابط بین آنها هم پس از مدتی از بین رفت. <sep> Hypothesis: روابط آنها پس از دخالتهای ریون خدشه دار شد و از هم جدا شدند.
Example Output: Entailment
Example Input: Premise: من سعی می کنم به یکی از کسانی که توسط اتحادیه اعتباری حمایت مالی شده اند تغییر دهم اگرچه به نظر می رسد سود بسیار کمی داشته باشد. <sep> Hypothesis: من سعی کردم به یکی از بانک مرکزی آمریکا تغییر دهم.
Example Output:
|
Contradiction
|
task463_parsinlu_entailment_classification
|
NIv2
|
fs_opt
| 3
|
train
|
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Q: Premise: نخست وزير اسرائيل زمان ديدار را مشخص نکرد؛ ولی گفت پيگيری مذاکرات نقشه راه صلح خاور ميانه در صدر برنامه های اوست. <sep> Hypothesis: زمان ملاقات با نخستوزیر اسراییل تعیین شده است.
A:
|
Contradiction
|
task463_parsinlu_entailment_classification
|
NIv2
|
zs_opt
| 4
|
train
|
Detailed Instructions: In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Q: Premise: وی پس از تحصیلات مقدماتی و سطح در تهران به سال ۱۳۴۸ برای تحصیلات عالی به قم عزیمت کرد. <sep> Hypothesis: در آن زمان نجف محلی بود برای تحصیلات عالی حوزوی
A:
|
Contradiction
|
task463_parsinlu_entailment_classification
|
NIv2
|
zs_opt
| 9
|
train
|
Definition: In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Input: Premise: نرخ خدمات پستی داخل کشور برای نامه های کلاس اول و نامه های با اولویت برای توزیع نامه ها که در بالا توضیح داده شده است. <sep> Hypothesis: نرخ های داخلی USPS برای اولویتدار ها و نامه های درجه یک که در بالا توضیح داده شد.
Output:
|
Entailment
|
task463_parsinlu_entailment_classification
|
NIv2
|
zs_opt
| 2
|
train
|
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Example Input: Premise: پس از آنکه هارولد و بوث در انبار غلهٔ مِلک شخصی ریچارد هنری گرت توسط سربازان ارتش اتحادیه به تله افتادند، هارولد تسلیم شد ولی بوث که از تسلیم شدن امتناع میکرد توسط گروهبان توماس بوستون کوربرت مجروح شد و ساعاتی بعد درگذشت. <sep> Hypothesis: هارولد و بوث توسط سربازان اتحادیه کشته شدند.
Example Output: Contradiction
Example Input: Premise: علت این الگوی شیوع جغرافیایی مشخص نیست. <sep> Hypothesis: این بیماری در نقاط جغرافیایی که شامل فقر هستند و امکانات بهداشتی مناسبی وجود ندارد ایجاد میشود.
Example Output: Contradiction
Example Input: Premise: خوب من این موضوع را بررسی خواهم کرد آه-ها. <sep> Hypothesis: خوب، من به آن نگاه خواهم کرد.
Example Output:
|
Entailment
|
task463_parsinlu_entailment_classification
|
NIv2
|
fs_opt
| 3
|
test
|
Given the task definition and input, reply with output. In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Premise: و او او خیلی دوستانه بود و من از مدیر، همانطور که بررسی کرده بودیم، پرسیدم این خانم یک بالرینا است؟ و او گفت نه او پرخور است <sep> Hypothesis: مدیر به من گفت كه او بانوی بالرینا است كه معرفی کرده بودم.
|
Contradiction
|
task463_parsinlu_entailment_classification
|
NIv2
|
zs_opt
| 5
|
validation
|
In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
Q: ထို ထိုင်ခုံ အရေးအတွက် နှစ် ဆ နှင့် တစ် ဝက် သည် အမျိုးသမီး များ အတွက် တာဝန်ထမ်းဆောင်မည် ။
A: Two and a half times the number of seats that had been reserved for women.
****
Q: သူ သည် ၁၉၄၁ ခုနှစ် တွင် စစ်မှုထမ်းခဲ့ ပြီး ၊ အခြားသော ၁၉ ယောက် နှင့်အတူတကွ ၊ သူတို့ ကို အမေရိကန် စစ်တပ် ဆက်သွယ်ရေး အဖွဲ့ မှ အထူး တာဝန် အတွက် လေ့ကျင့်ခြင်းခံခဲ့ရသည် ။
A: He enlisted in 1941, and along with 19 others, they were trained for special duty by the U.S. Army Signal Corps.
****
Q: ထို မှတ်တမ်း မှာ ၊ ဗြိတိန် နဲ့ အမေရိကန် တပ်များ ရဲ့ ကြီးမား တဲ့ လျှော့ချမှု က အခြား နိုင်ငံများ အတွက် အီရတ် မှာ သူတို့ ရဲ့ တပ် ကို ထိန်းသိမ်း ရန် ၄င်းအရာ သည် ခက်ခဲ စေလိမ့်မည် လို့ မစ္စတာ ရီးဒ် က ဝန်ခံခဲ့သည် ။
A:
|
In the document, Mr Reid admitted that a large reduction of British and U.S. forces would make it difficult for other countries to keep their force in Iraq.
****
|
task538_alt_translation_bu_en
|
NIv2
|
fs_opt
| 4
|
train
|
Instructions: In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
Input: နီးယားစ် ကျွန်း ရှိ ပျက်စီးသွားသည့် အိမ်ခြေများ ၏ အရေအတွက် မှာ ၄၅၀၀ လုံး ခန့် ခန့်မှန်းထားပါသည် ။
Output:
|
The number of destroyed houses in Nias is estimated at 4 500.
|
task538_alt_translation_bu_en
|
NIv2
|
zs_opt
| 3
|
train
|
Instructions: In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
Input: အင်္ဂါနေ့ တွင် ၊ မြို့တော်ဝန် မိုက်ကယ် အာ ဘလွန်းဘာ့ဂ် က နယူး ယောက် ရှိ ၊ နယူး ယောက် မြို့တော် တွင် အရေးပေါ် ရာသီဥတုအခြေအနေ တစ်ခု ကို ကြေညာခဲ့သည် ။
Output:
|
On Tuesday, Mayor Michael R. Bloomberg announced a weather emergency in New York City, New York.
|
task538_alt_translation_bu_en
|
NIv2
|
zs_opt
| 3
|
train
|
TASK DEFINITION: In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
PROBLEM: ဗင်နီဇွဲလား ရှိ ထိပ်တန်း အတိုက်အခံ ခေါင်းဆောင်များ မှ တစ်ဦး ဖြစ်သူ ၊ ကားလော့စ်အော်တီဂါ ၊ ကို သပိတ် အတွင်း နိုင်ငံ ကို မငြိမ်မသက် လှုံ့ဆော်ခြင်း အတွက် ၁၅ နှစ် ထောင်ချ ပြစ်ဒဏ်စီရင်ခဲ့သည် ။
SOLUTION: Carlos Ortega, one of the top opposition leaders in Venezuela, has been sentenced to 15 years in jail for inciting civil unrest during a strike.
PROBLEM: ၂၀ဝ၈ ခုနှစ် အမေရိကန်ပြည်ထောင်စု ဖက်ဒရယ် လိုငွေများ သည် ပြီးခဲ့သည့် နှစ်များ ၏ လိုငွေ ထက် နှစ်ဆ ပိုများ -- မြင့်မားတဲ့ စံချိန် တစ်ခု ၊ ယူအက်စ် ဒေါ်လာ ၄၅၄.၈ သန်း ကို ရောက်ရှိခဲ့သည် ။
SOLUTION: The United States 2008 federal deficit has reached a record high, US$454.8 billion—more than double last year's deficit.
PROBLEM: အရည်အချင်း စစ် အာမခံ ကိုယ်စားလှယ် အဖွဲ့အစည်း က ပြည်ပ တက္ကသိုလ် များ အပေါ် တွင် ယူအိုဒဘလျူ ၏ နိုင်ငံရပ်ခြား စစ်ဆေးမှု များ မှာ လုံလောက်မှု မရှိ ဟု ပြောကြားခဲ့ပါသည် ။
SOLUTION:
|
The Quality Assurance Agency said UoW's overseas checks on foreign institutions were inadequate.
|
task538_alt_translation_bu_en
|
NIv2
|
fs_opt
| 8
|
train
|
In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
--------
Question: သူမ က ဆေးရုံ သည် သူမ၏ ကလေး ကို ဂရုစိုက်စောက်ရှောက်ကုသမှု ပေးရန် “ အဆိုးဆုံး နေရာ “ ဖြစ်ကြောင်း ၊ ၎င်းရှိ ဂရုစိုက်စောက်ရှောက်ကုသမှု အဆင့်အတန်း သည် “ လုံးဝ ပေါက်တက်ကရ “ ဟု ပြောဆို ကာ ဖော်ပြခဲ့သည် ။
Answer: She described the hospital as the "worst place" for her child to have been cared for, saying that the standards of care there were "absolute crap".
Question: အိန္ဒိယ အာကာသ သုတေသန အဖွဲ့အစည်း ( အိုင်အက်စ်အာအို ) အရာရှိများ အဆိုအရ ၊ ထို ပေါ် တွင် အိန္ဒိယ အလံ ခြယ်သထားသော ၊ လ သက်ရောက်မှု စုံစမ်းစစ်ဆေးရေးအဖွဲ့ ( အမ်အိုင်ပီ ) သည် ၊ ယနေ့ည နှောင်းပိုင်းတွင် ဆင်းသက်လိမ့်မည် ။
Answer: According to Indian Space Research Organisation (ISRO) officials, the Moon Impact Probe (MIP), with an Indian flag painted on it, will be dropped late tonight.
Question: အစိုးရ က သမဂ္ဂ ကို အခြား ပြည်သူ ကဏ္ဍ လုပ်သားများ နှင့် အညီ ၊ လစာ ၃.၂၅ ရာခိုင်နှုန်း တိုးမြှင့် အဆိုပြုခဲ့ သော်လည်း ၊ သမဂ္ဂ က ပိုမို တောင်းဆိုခဲ့ ပြီး ၊ ကိန်းဂဏန်း သတ်မှတ်ခြင်း ကို ယာယီ ရပ်နားခဲ့ သည် ။
Answer:
|
The government has offered the union a 3.25 per cent pay increase, in line with other public sector workers but the union has demanded more, but stopped short of specifying a figure.
|
task538_alt_translation_bu_en
|
NIv2
|
fs_opt
| 7
|
train
|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
အသက် ၂၇ နှစ် အရွယ် ဂျေဆွန် မက်ကေ ၏ မိခင် ဘိုနီ မက်ကေ က " သူတို့ အလုပ်လုပ်တဲ့ နည်းလမ်း ကို အရာများစွာ ပြောင်းလဲလိုက်မှာ ကို သင် မယုံဘူး ဆိုတာ ကျွန်မ အသေအချာ ယုံကြည်ပါတယ် ၊ ဒါပေမယ့် သူတို့ လုပ်ဆောင်ခဲ့ပါတယ် " ဟု ဆိုပါသည် ။
Solution: Prime Minister Blair and Chancellor Brown are agreed on the need to retain a nuclear deterrent.
Why? The above sentence is correctly translated from Myanmar to English
New input: သူမ က ၊ ဟေတီ နိုင်ငံ သည် ၎င်း ၏ ပြဿနာများ မှ ကျော်ဖြတ် ရန် ပြုစုပျိုးထောင်နိုင်သော ရင့်ကျက်သည့် မိခင် သဏ္ဌာန် ၊ ခံ့ညားသူ တစ် ဦး အဖြစ် သူ့ ကိုယ် သူ ဖော်ပြသည် ။
Solution:
|
She portrays herself as a dignified, mature mother figure able to nurture Haiti through its troubles.
|
task538_alt_translation_bu_en
|
NIv2
|
fs_opt
| 0
|
train
|
Detailed Instructions: In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
Q: နယူးဇီလန်နိုင်ငံ ၏ စျေးကွက်ရှာဖွေရေး အသင်း ၊ ၏ အမှုဆောင်အရာရှိချုပ် ၊ ကိသ်နောရစ် သည် တွေ့ဆုံမေးမြန်းခန်းအစီအစဉ် တစ်ခု အတွက် များစွာသော တောင်းဆိုမှုများ ကို တုံ့ပြန်ခြင်းမပြုခဲ့ပါ ။
A:
|
Keith Norris, CEO of the New Zealand Marketing Association, didn't respond to multiple requests for an interview.
|
task538_alt_translation_bu_en
|
NIv2
|
zs_opt
| 9
|
train
|
In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
Q: " အချိန်တော်တော်လင့်နေပြီ " ဟု ထင်ထားသော မှုခင်း ပြင်ဆင်မှုများ ကို ဖော်ပြပြီး နောက် ၊ အမေရိကန် ရှေ့နေချုပ် အဲရစ် ဟိုဒါ က " မှုဒိန်းမှု အဓိပ္ပာယ် ပြင်ဆင်ချက် သည် လိင်အကြမ်းဖက်မှုကြောင့် ဘ၀ တွင် အကြီးအကျယ် စိတ်ပျက်ခဲ့ရသူများ အတွက် တရားမျှတအောင် ကူညီပေး ပြီး မှုဒိန်းမှု ၏ သားကောင်များ ကို ရပ်တည်ပေးနေသော တရားရေးရာဌာန ၏ မြှုပ်နှံကူညီမှု ကို ထင်ဟပ်စေပါသည် " ဟု ဆိုခဲ့ပါသည် ။
A: Describing the changes to crime reporting as "long overdue", United States Attorney General Eric Holder said the revised definition of rape will, "help ensure justice for those whose lives have been devastated by sexual violence and reflect the Department of Justice's commitment to standing with rape victims".
****
Q: တရုတ် ပြည်သူ့ သမ္မတနိုင်ငံ က ဆီးရီးယား အစိုးရ အား ဆီးရီးယား အုံကြွမှုများ တွင် ဖိအားပေးခြင်း နှင့် အတိုက်အခံပြုခြင်း စသည့် ၊ လွတ််လပ် သော ဆီးရီးယား တပ်မတော် ကဲ့သို့ ၊ အကြမ်းဖက်လုပ်ရပ်များ ကို အဆုံးသတ် ရန် တောင်းဆို ခဲ့သည် ။
A: The People's Republic of China called on Syrian government forces and opposition in the Syrian uprising, such as the Free Syrian Army, to end the violence.
****
Q: အိုလံပီယာ ပြတိုက် အသစ် ကို နောက်ဆုံး မိနစ် ၌ ကယ်တင်နိုင််ခဲ့ သော်လည်း ရှေးဟောင်း ကစားပြိုင်ကွင်း အပိုင်း ကို မကယ်တင်နိုင််ခဲ့ပါ ။
A:
|
The new museum of Olympia was saved in the last minute but part of the ancient stadium was not spared.
****
|
task538_alt_translation_bu_en
|
NIv2
|
fs_opt
| 4
|
train
|
Q: In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
ဝန်ကြီးချုပ် ဗက် လီတာမီ သည် စီးပွားရေး အကြပ်အတည်း ဖြစ်ပေါ် ဝန်းရံခံရ ပြီး ပြဿနာဖြစ်ခဲ့သည့် ဖောတစ် ဘဏ် ကို ဘီအန်ပီ ပါရာဘတ်စ် သို့ ရောင်းခဲ့ ပြီးနောက် မင်းကြီး အဲလ်ဘတ် ကို ဒီဇင်ဘာလ ၁၈ တွင် သူ့ အစိုးရ ၏ နှုတ်ထွက်စာ ကို ကမ်းလှမ်းခဲ့သည် ။
A:
|
Prime Minister Yves Leterme offered the resignation of his government on December 18 to King Albert after a crisis erupted surrounding the sale of troubled Fortis bank to BNP Paribas.
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task538_alt_translation_bu_en
|
NIv2
|
zs_opt
| 7
|
test
|
instruction:
In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
question:
ဇင်ဘာဘွေ ဇန်နူးပီအက်(ဖ) ပါတီ သည် အတိုက်အခံများ ကို ထောက်ခံ သည့် စွပ်စွဲချက် ဖြင့် ၊ နိုင်ငံ ၏ ပညာတတ် အုပ်စု ကို ပစ်မှတ်ထားလာခဲ့သည် ။
answer:
The country's educators were targeted by Zimbabwe's ZANU-PF party, for alleged support of the opposition.
question:
၂၀၀၇ ခုနှစ် ၊ ဇူလိုင် လ ၂၀ ရက်နေ့ ၊ နေ့စွဲဖြင့် ဝီကီလိခ် ၊ မှ ထုတ်ပြန်သော စာတမ်း တစ်ခု က လီကွတ် ပါတီ ၏ ခေါင်းဆောင် ၊ မစ္စတာ နာတာညာဟူး ၊ သည် ထို အချိန် တွင် အီဟူ အိုမာတ် မှ ဦးဆောင်သော ၊ အစိုးရအဖွဲ့ ကို ဝင်ရောက်သည့် အတွက် အလဲအလှယ် အနေဖြင့် အီရန် ကို တိုက်ခိုက်မှု ကို တိုက်တွန်းခဲ့သည် ဟု ဖော်ပြခဲ့သည် ။
answer:
A document revealed by Wikileaks, dated July 20, 2007, shows that Mr. Netanyahu, leader of the Likud party, urged an attack on Iran in exchange for joining the government at the time, led by Ehud Olmert.
question:
“ နောက်ထပ် သိသာသော လျှောချခြင်း များ ရရှိ ရန် အဓိက အချက် တစ်ခု ဖြစ်သော လက်ရှိ အပေါ့စား ပလတ်စတစ် နေရာ တွင် အစားထိုး ရန် ဘက်တီးရီးယား ပိုး ဖြင့် ဆွေးမြေ့ ပျက်စီး စေ နိုင် သည့် အိတ် တစ် မျိုး ကို တိုးမြှင့် လုပ်ဆောင်မှု ဖြစ်သည့် သူတို့ ၏ အမြင် ကို လည်း ကျွန်တော် မျှဝေပါတယ် ။ ”
answer:
|
"I also share their view that development of a viable degradable bag to replace existing lightweight plastic ones is a key to achieving further significant reductions."
|
task538_alt_translation_bu_en
|
NIv2
|
fs_opt
| 9
|
validation
|
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Ex Input:
È probabile che rischi una contrazione delle attività in qualsiasi edificio.
Ex Output:
È probabile che troverete un piano terra in qualsiasi edificio.
Ex Input:
Compreresti bombe per gli altri perché vuoi provare il tuo amore per loro.
Ex Output:
Si comprerebbe frutta per gli altri perché si desidera ulteriormente il vostro amore per loro.
Ex Input:
Porteresti un incontro perche' vuoi partecipare a una decisione.
Ex Output:
|
Definiresti un incontro perche' vuoi partecipare a una decisione.
|
task408_mickey_it_sentence_perturbation_generation
|
NIv2
|
fs_opt
| 1
|
train
|
Definition: Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: Un allarme acustico ti farebbe venire voglia di alzarti.
Output:
|
Un allarme ch ti farebbe venire voglia di alzarti.
|
task408_mickey_it_sentence_perturbation_generation
|
NIv2
|
zs_opt
| 2
|
train
|
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
One example: È probabile che in futuro chiamerete una lista dei nomi.
Solution is here: E' probabile che troviate una carta dei vini al ristorante.
Explanation: This is a good change in the input, because it is semantically similar to the input as both are talking about either list of names or wines and the output sentence follows the commonsense knowledge.
Now, solve this: I cani attivi possono sfondare il furgone.
Solution:
|
I cani cattivi possono bere dal water.
|
task408_mickey_it_sentence_perturbation_generation
|
NIv2
|
fs_opt
| 6
|
train
|
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: Consider Input: Un cucciolo solitario può essere confortato da una vecchia coperta e da un film ticchettio.
Output: Un cucciolo particolare può essere confortato da una vecchia coperta e una cornice ticchettio.
Input: Consider Input: Faresti dondolare una persona perche' sta giocando nel parco.
Output: Vedresti una band perche' suona nel parco.
Input: Consider Input: L'effetto di andare ad un concerto è ascoltare il nastro.
|
Output: L'ora di andare ad un concerto è ascoltare il nastro.
|
task408_mickey_it_sentence_perturbation_generation
|
NIv2
|
fs_opt
| 2
|
train
|
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example: È probabile che in futuro chiamerete una lista dei nomi.
Example solution: E' probabile che troviate una carta dei vini al ristorante.
Example explanation: This is a good change in the input, because it is semantically similar to the input as both are talking about either list of names or wines and the output sentence follows the commonsense knowledge.
Problem: Siete ansiosi di trovare un cielo sopra la tenda.
|
Solution: Siete orgogliosi di ricevere un cielo sopra la terra.
|
task408_mickey_it_sentence_perturbation_generation
|
NIv2
|
fs_opt
| 5
|
train
|
Detailed Instructions: Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Problem:È probabile che troverete un lime in un cesto di frutta.
Solution:
|
È probabile che troverete un'uva in un fiore di frutta.
|
task408_mickey_it_sentence_perturbation_generation
|
NIv2
|
zs_opt
| 8
|
train
|
Instructions: Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: Alcuni uffici richiedono che gli abitanti ci indossano generi di abbigliamento.
Output:
|
Alcuni uffici richiedono che i lavoratori lì indossano i tipi ufficiali di abbigliamento.
|
task408_mickey_it_sentence_perturbation_generation
|
NIv2
|
zs_opt
| 3
|
train
|
Teacher:Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Teacher: Now, understand the problem? Solve this instance: Alcuni mondi appaiono più vicini di altri nel cielo crepuscolare.
Student:
|
Alcune ore appaiono più vicine di altre nel cielo notturno.
|
task408_mickey_it_sentence_perturbation_generation
|
NIv2
|
zs_opt
| 6
|
train
|
Detailed Instructions: Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Problem:Potrebbe esserci un'inchiesta sulla relazione sul giornale.
Solution:
|
Potrebbe esserci un'invocazione sul cibo nel culmine.
|
task408_mickey_it_sentence_perturbation_generation
|
NIv2
|
zs_opt
| 8
|
test
|
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: Consider Input: L'effetto di migliorare il coro sta imparando a marciare.
Output: L'effetto di esplorare il quad sta imparando a marciare.
Input: Consider Input: È probabile che erediterete una porta con serratura in autista del treno.
Output: È probabile che erediterete una porta con serratura in cima del treno.
Input: Consider Input: L' effetto di calcolo di una ripetizione di numeri è l' aggiunta di dati.
|
Output: L'effetto di sommare una colonna di numeri è aggiungere roba.
|
task408_mickey_it_sentence_perturbation_generation
|
NIv2
|
fs_opt
| 2
|
validation
|
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: このサメはたとえ日中でもとても臆病とは言えません
Output:
|
Questi squali non sono per niente timidi, nemmeno durante il giorno.
|
task1096_ted_translation_ja_it
|
NIv2
|
zs_opt
| 2
|
train
|
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: 接近遭遇２ 1984年マサチューセッツ州ブルックライン
Output:
|
Incontro ravvicinato 2: Brookline, Massachussetts, 1984.
|
task1096_ted_translation_ja_it
|
NIv2
|
zs_opt
| 2
|
train
|
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: そして私が寛容な資本の意味を心から理解したのはほんの先月あたりのことでした彼らの生産する製品が治療薬Coartemにふさわしい高品質であることを証明できるまであと10日となった時会社は最大の財政難に直面していました
Output:
|
E solo nell'ultimo mese ho capito davvero il significato emotivo del capitale paziente. Perché all'azienda restavano appena 10 giorni per dimostrare che il suo prodotto aveva raggiunto gli standard di qualità internazionale richiesti per produrre il Coartem, e questo durante la più grande crisi finanziaria della loro storia.
|
task1096_ted_translation_ja_it
|
NIv2
|
zs_opt
| 2
|
train
|
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Problem:お母さんもお父さんも胸を張り続けていてね」このような若い女性を失うことは深くはかり知れずですから私は研究をしました私はアメルの希望を再び見出そうと努めそして彼女の名は実にアラブ語で「希望」という意味なのです
Solution:
|
Tu e papà dovete tenere la testa alta. "" La perdita di una tale giovane donna è incomprensibile, così feci le mie ricerche e mi ritrovai a cercare di nuovo la speranza di Amel e il suo nome significa addirittura "" speranza "" in Arabo.
|
task1096_ted_translation_ja_it
|
NIv2
|
zs_opt
| 8
|
train
|
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
One example: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Solution is here: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Explanation: The Japanese sentence is correctly translated into Italian, because the meaning is preserved.
Now, solve this: 一旦消滅した考えを復活できるというのは大変重要な事だと思ったので古いテクノロジーはどうなるのか考えてみました
Solution:
|
Infatti, l'idea di far risorgere vecchie idee è così importante che ho iniziato a pensare a cosa succede con la vecchia tecnologia.
|
task1096_ted_translation_ja_it
|
NIv2
|
fs_opt
| 6
|
train
|
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Solution: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Reason: The Japanese sentence is correctly translated into Italian, because the meaning is preserved.
Now, solve this instance: しかも自己だけに限りません
Student:
|
E il sè non è l'unica cosa; non è neanche la più importante.
|
task1096_ted_translation_ja_it
|
NIv2
|
fs_opt
| 2
|
train
|
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: 白人層はほとんど被害に遭いませんでした
Student:
|
I bianchi furono principalmente illesi.
|
task1096_ted_translation_ja_it
|
NIv2
|
zs_opt
| 6
|
train
|
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
当然これでは実戦的ではありませんし攻撃を受けやすくなってしまいます
A:
|
Questo significava essere meno efficaci durante il combattimento e essere anche molto vulnerabili.
|
task1096_ted_translation_ja_it
|
NIv2
|
zs_opt
| 7
|
train
|
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Q: 「頭が良い」というのは単に学ぶ準備が出来ているだけで
A:
|
Essere intelligenti significa semplicemente essere pronti ad imparare.
|
task1096_ted_translation_ja_it
|
NIv2
|
zs_opt
| 9
|
test
|
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 Japanese. Your job is to translate the Japanese sentence into Italian.
父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Solution: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Why? The Japanese sentence is correctly translated into Italian, because the meaning is preserved.
New input: 砂糖椰子は火に強く洪水予防になりそして、住民の収入源にもなります。
Solution:
|
Le palme da zucchero resistono al fuoco ed alle inondazioni. E forniscono guadagni alla gente locale.
|
task1096_ted_translation_ja_it
|
NIv2
|
fs_opt
| 0
|
validation
|
Q:USS Yorktown (1839) - The first USS Yorktown was a 16-gun sloop-of-war of the United States Navy. Used mostly for patrolling in the Pacific and anti-slave trade duties in African waters the vessel was wrecked off Maio Cape Verde in 1850. Given a choice of categories company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, the text refers to which one?
A:
|
Mean Of Transportation
|
dbpedia_14_given_a_choice_of_categories_
|
P3
|
zs_opt
| 3
|
train
|
Macbeth (1971 film) - Macbeth is a 1971 British-American film adaptation of William Shakespeare's tragedy Macbeth. Directed by Roman Polanski it retells the story of the Highland lord who becomes King of Scotland through treachery and murder. The film stars Jon Finch as Macbeth and Francesca Annis as Lady Macbeth. Given a choice of categories company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, the text refers to which one?
|
Film
|
dbpedia_14_given_a_choice_of_categories_
|
P3
|
zs_noopt
| 0
|
train
|
Q:Primary Health Properties - Primary Health Properties plc is a British-based real estate investment trust specialising in the rental of primary healthcare facilities within the United Kingdom. The company was incorporated in 1995 floated on the Alternative Investment Market in 1996 and listed on the London Stock Exchange in November 1998. The firm switched to Real Estate Investment Trust status when REITs were introduced in the United Kingdom in January 2007. Given a choice of categories company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, the text refers to which one?
A:
|
Company
|
dbpedia_14_given_a_choice_of_categories_
|
P3
|
zs_opt
| 3
|
train
|
Question: A Writing Kind of Day - A Writing Kind of Day: Poems for Young Poets is a young adult book of poetry by Ralph Fletcher illustrated by April Ward. It was first published in 2005. Given a choice of categories company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, the text refers to which one?
Answer:
|
Written Work
|
dbpedia_14_given_a_choice_of_categories_
|
P3
|
zs_opt
| 4
|
train
|
Question: Zyzyxia - Zyzyxia lundellii is a species of tropical shrub in the plant family Asteraceae. Given a choice of categories company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, the text refers to which one?
Answer:
|
Plant
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dbpedia_14_given_a_choice_of_categories_
|
P3
|
zs_opt
| 4
|
train
|
Answer the following question: Nang! - Nang! is a general interest magazine based in Aldgate London. Aimed at 14-21 year olds the magazine is free and is distributed at sixth forms colleges universities libraries and Connexions centres in the London area on a quarterly basis. In December 2006 Nang! was presented with one of the prestigious Philip Lawrence Awards for services to the local community. Given a choice of categories company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, the text refers to which one?
Answer:
|
Written Work
|
dbpedia_14_given_a_choice_of_categories_
|
P3
|
zs_opt
| 5
|
train
|
Question: American Pie (film series) - American Pie is a series of teen films conceived by Adam Herz. The first film in the series was released on July 9 1999 by Universal Pictures and became a worldwide pop culture phenomenon spawning three direct sequels. The second and third films were released at two-year intervals whereas the fourth film was released in 2012. From 2005 to 2009 four spin-off films were released. Given a choice of categories company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, the text refers to which one?
Answer:
|
Film
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dbpedia_14_given_a_choice_of_categories_
|
P3
|
zs_noopt
| 4
|
train
|
Please answer the following question: Hiram M. Chittenden Locks - The Hiram M. Chittenden Locks is a complex of locks that sits at the west end of Salmon Bay part of Seattle Washington's Lake Washington Ship Canal. They are known locally as the Ballard Locks after the neighborhood to the north. Given a choice of categories company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, the text refers to which one?
A:
|
Building
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dbpedia_14_given_a_choice_of_categories_
|
P3
|
zs_noopt
| 8
|
train
|
Please answer the following question: Isolepis setacea - Isolepis setacea (syn. Scirpus setaceus) is a species of flowering plant in the sedge family known by the common name bristleleaf bulrush. It is native to Eurasia and Africa and possibly Australasia. It can be found in other places including some areas in North America where it is an introduced species. It grows in many types of moist and wet habitat often in coastal regions and sometimes inland. Given a choice of categories company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, the text refers to which one?
Answer:
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Plant
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dbpedia_14_given_a_choice_of_categories_
|
P3
|
zs_opt
| 9
|
test
|
Please answer the following question: Archontophoenicinae - Archontophoenicinae is a botanical subtribe consisting of four genera of palms namely Archontophoenix from Queensland and New South Wales and Actinokentia Chambeyronia and Kentiopsis from New Caledonia. Given a choice of categories company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, the text refers to which one?
Answer:
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Plant
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dbpedia_14_given_a_choice_of_categories_
|
P3
|
zs_opt
| 9
|
validation
|
Given an English sentence, convert it into the french language.
Example: He later scouted in Europe for the Montreal Canadiens .
Example solution: Il a plus tard été dépisteur du Canadiens de Montréal en Europe .
Example explanation: English sentence is converted to the French language.
Problem: On the 26th of that month , the Council of People 's Commissars issued requirements that the aircraft should have a maximum speed of 770 km / h ( 480 mph ) at sea level and a speed of 850 km / h ( 530 mph ) at an altitude of 5,000 meters ( 16,400 ft ) .
|
Solution: Le 26 du mois le Conseil des Commissaires du Peuple a demandé que l' avion atteigne la vitesse de 770 km / h au niveau de la mer et 850 km / h à 5 500 m d' altitude .
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task644_refresd_translation
|
NIv2
|
fs_opt
| 5
|
train
|
Given an English sentence, convert it into the french language.
Example input: He later scouted in Europe for the Montreal Canadiens .
Example output: Il a plus tard été dépisteur du Canadiens de Montréal en Europe .
Example explanation: English sentence is converted to the French language.
Q: The river is frequently interrupted by rapids and so has never been an important long-distance transport route .
A:
|
Le fleuve est fréquemment interrompu de rapides et , de ce fait , n' a jamais constitué une importante route de transport sur longue distance .
|
task644_refresd_translation
|
NIv2
|
fs_opt
| 3
|
train
|
Detailed Instructions: Given an English sentence, convert it into the french language.
Q: In Week 14 against the San Diego Chargers , Gronkowski became the first tight end in NFL history to catch at least 10 touchdowns in four separate seasons .
A:
|
En semaine 14 contre les Chargers de San Diego , Rob devient le premier tight end dans l' histoire de la NFL à marquer au moins 10 touchdowns lors de quatre saisons différentes .
|
task644_refresd_translation
|
NIv2
|
zs_opt
| 9
|
train
|
Given an English sentence, convert it into the french language.
Let me give you an example: He later scouted in Europe for the Montreal Canadiens .
The answer to this example can be: Il a plus tard été dépisteur du Canadiens de Montréal en Europe .
Here is why: English sentence is converted to the French language.
OK. solve this:
These enhance solubilisation of nutrients , thus allowing nutrient uptake in low-nutrient soils such as the phosphorus-deficient native soils of Australia .
Answer:
|
Cela favorise la solubilisation des nutriments , permettant ainsi leur assimilation dans les sols pauvres tels que les sols natifs d' Australie carencés en phosphore .
|
task644_refresd_translation
|
NIv2
|
fs_opt
| 8
|
train
|
Teacher:Given an English sentence, convert it into the french language.
Teacher: Now, understand the problem? Solve this instance: In the afternoon of 24 June the column retreated to Bắc Lệ , followed at a respectful distance by the victorious Chinese , and occupied a defensive position on a high plateau .
Student:
|
Dans l' après-midi du 24 juin , la colonne se retire à Bac Le , suivie à une distance respectueuse par les Chinois victorieux , et occupe une position défensive sur un haut plateau .
|
task644_refresd_translation
|
NIv2
|
zs_opt
| 6
|
train
|
Given an English sentence, convert it into the french language.
Richard " Richie " Tozier Known by many as " Trashmouth , " Richie is the Losers ' self-appointed comic relief , always cracking jokes and doing impersonations or " voices , " which proves to be a very powerful weapon against It .
Richard " Richie " Tozier : connu sous le surnom de " Grande Gueule " , Richie est le boute-en-train du groupe , toujours en train de faire des blagues et des imitations qui se révèlent par la suite être des armes très puissantes contre Ça .
It remains unclear whether Edward was deposed in 1327 by a formal gathering of parliament or simply a gathering of the political classes alongside an existing parliament .
On ignore encore si Édouard a été déposé en 1327 par un rassemblement officiel du Parlement ou simplement un rassemblement des classes politiques aux côtés d' un Parlement existant .
It is actually quite hardy and can sometimes grow continuously given only water , but the flavor will be at risk if not given any fertilizer , chemical or organic .
|
Il est en fait assez robuste et peut pousser continuellement avec un simple apport d' eau , mais la saveur sera moindre faute d' enrichissement du sol , chimique ou biologique .
|
task644_refresd_translation
|
NIv2
|
fs_opt
| 0
|
train
|
Given an English sentence, convert it into the french language.
--------
Question: Although some story elements were present , the short story itself has no relation to the final version of the story presented in the novels .
Answer: Bien que certains éléments de l' histoire soient présents , la petite histoire elle-même n' a aucun rapport avec la version finale de l' histoire présentée dans les romans .
Question: In response , Crispin Cowan proposed LSM : an interface for the Linux kernel that provides sufficient " hooks " ( upcalls ) from within the Linux kernel to a loadable module so as to allow the module to enforce mandatory access controls .
Answer: En réponse , Crispin Cowan ( en ) proposa LSM , une interface fournissant suffisamment de crochets ( " hooks " ) dans le noyau Linux pour créer des modules permettant de renforcer le contrôle d' accès obligatoire ( " MAC " pour " mandatory access control " ) .
Question: She is known for formulating the umbral moonshine conjectures and for her work on the connections between K3 surfaces and string theory .
Answer:
|
Elle est connue pour avoir formulé les conjectures sur le clair de lune ombral ( en ) , et pour ses travaux sur les connexions entre les surfaces K3 et la théorie des cordes .
|
task644_refresd_translation
|
NIv2
|
fs_opt
| 7
|
train
|
Given an English sentence, convert it into the french language.
Q: General Leavenworth died in the Cross Timbers , in the Indian Territory , July 21 , 1834 , of either sickness or an accident while buffalo-hunting ; while leading an expedition against the Pawnee and Comanche .
A: Il est mort à Cross Timbers , en territoire indien , le 21 juillet 1834 , soit de maladie , soit d' accident en chassant le bison au cours d' une expédition contre les Pawnees et les Comanches .
****
Q: It is actually quite hardy and can sometimes grow continuously given only water , but the flavor will be at risk if not given any fertilizer , chemical or organic .
A: Il est en fait assez robuste et peut pousser continuellement avec un simple apport d' eau , mais la saveur sera moindre faute d' enrichissement du sol , chimique ou biologique .
****
Q: Thus to get an application to support multiple languages one would design the application to select the relevant language resource file at runtime .
A:
|
Ainsi , pour obtenir une application qui puisse prendre en charge plusieurs langues , il conviendrait de concevoir l' application qui permettrait de sélectionner le fichier de ressource de la langue correspondante au moment de l' exécution .
****
|
task644_refresd_translation
|
NIv2
|
fs_opt
| 4
|
train
|
Given an English sentence, convert it into the french language.
Ex Input:
The southern transept is characterised by Gothic columns integrated within the Romanesque decoration .
Ex Output:
Le transept sud présente des colonnes gothiques intégrées dans la décoration romane .
Ex Input:
Therapy ? also appeared at European festivals in the summer , including at Knebworth Sonisphere on 31 July when the band performed the Troublegum album in its entirety .
Ex Output:
Therapy ? participe aussi à des festivals européens en été , comme le Sonisphere de Knebworth le 31 juillet où le groupe joue l' album Troublegum dans son intégralité .
Ex Input:
After failing to convince her to eat the aphrodisiac mushroom , they return home , where he apologises .
Ex Output:
|
Après qu' il eut essayé de l' embrasser et échoué à lui faire manger un champignon aphrodisiaque , ils rentrent à la maison où il s' excuse .
|
task644_refresd_translation
|
NIv2
|
fs_opt
| 1
|
test
|
Given the task definition, example input & output, solve the new input case.
Given an English sentence, convert it into the french language.
Example: He later scouted in Europe for the Montreal Canadiens .
Output: Il a plus tard été dépisteur du Canadiens de Montréal en Europe .
English sentence is converted to the French language.
New input case for you: Research evidence does not fall simply into " evidence-based " and " non-evidence-based " classes , but can be anywhere on a continuum from one to the other , depending on factors such as the way the study was designed and carried out .
Output:
|
Les résultats de la recherche ne se limitent pas aux catégories " fondé sur des données probantes " et " non fondé sur des preuves " , mais peuvent aller de l' un à l' autre , selon des facteurs tels que la conception et la réalisation de l' étude .
|
task644_refresd_translation
|
NIv2
|
fs_opt
| 1
|
validation
|
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