source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
values | template_type stringclasses 4
values | template_idx int64 0 17 | split stringclasses 3
values |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive... | NEGATIVE | task1414_ajgt_twitter_ar_classification | NIv2 | fs_opt | 0 | train |
Q: This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
لو حد يا جماع... | NEGATIVE | task1414_ajgt_twitter_ar_classification | NIv2 | zs_opt | 7 | train |
Given the task definition, example input & output, solve the new input case.
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a se... | POSITIVE | task1414_ajgt_twitter_ar_classification | NIv2 | fs_opt | 1 | train |
Q: This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
احسن اظن بالل... | POSITIVE | task1414_ajgt_twitter_ar_classification | NIv2 | zs_opt | 7 | train |
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
Q: برنامج معوق ... | NEGATIVE
****
| task1414_ajgt_twitter_ar_classification | NIv2 | fs_opt | 4 | train |
Definition: This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
Inpu... | NEGATIVE | task1414_ajgt_twitter_ar_classification | NIv2 | zs_opt | 2 | train |
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
Q: لا يشكي قله ا... | POSITIVE | task1414_ajgt_twitter_ar_classification | NIv2 | zs_opt | 4 | train |
instruction:
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
que... | NEGATIVE
| task1414_ajgt_twitter_ar_classification | NIv2 | fs_opt | 9 | train |
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
Q: لو طلعتي من ... | NEGATIVE
****
| task1414_ajgt_twitter_ar_classification | NIv2 | fs_opt | 4 | test |
instruction:
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
que... | POSITIVE
| task1414_ajgt_twitter_ar_classification | NIv2 | fs_opt | 9 | validation |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Q: A descrición amosa perfectamente a banalidade de Edwards.
A: 使われた表現はエドワーズ候補個人のナルシズムを完璧に掴んでいました
****
Q: Son moi optimista e penso que funcionará.
A: そして私はこれが本当に上手くいくと思っています
****
Q: Estamos programados para algo cham... | 我々は「次世代生産型」に設計されています
****
| task1239_ted_translation_gl_ja | NIv2 | fs_opt | 4 | train |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Debido a que a xente puido tomar fotos cos seus mobiles do que estaba acontecendo nos postos electorais, foi imposible que o primer ministro arranxara as eleccións na forma que quería facelo.
携帯電話のカメラで投票場で何が起こっているか撮影できた... | しかしこれは現在のデジタル時代において音楽業界が直面している課題に １つのビジョンを提示するものですこのような新しいテクノロジーをこれまでのモデルを付け焼き刃的に変えるためのものではなく音楽を体験するまったく新しい方法を実現するために活用できればと思います
| task1239_ted_translation_gl_ja | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
E cando chegaron houbo un interés enorme en traducir esa sabiduría a unha lingua Europea.
| その結果これをヨーロッパの言語にその結果これをヨーロッパの言語に翻訳する気運が高まりました翻訳する気運が高まりました | task1239_ted_translation_gl_ja | NIv2 | zs_opt | 5 | train |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Q: Co termo “éxito reprodutivo ” os biólogos refírense á idade na que tes fillos e, a continuación, nunha xeración, á idade na que os teus fillos teñen fillos.
A: | 生物学者のいう「次世代生産型」とはあなたが子供を持つ年齢のことで更に次の世代、あなたの子どもが更に子供を持つ年齢のことです | task1239_ted_translation_gl_ja | NIv2 | zs_opt | 9 | train |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
See one example below:
Problem: Terán seguro para pagar a receita?
Solution: 処方箋を支払う為の保険は ？
Explanation: The Galician sentence is correctly translated into Japanese, because the meaning is preserve... | つまづき倒れ暗闇を呪うことだろう | task1239_ted_translation_gl_ja | NIv2 | fs_opt | 4 | train |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Example input: Terán seguro para pagar a receita?
Example output: 処方箋を支払う為の保険は ？
Example explanation: The Galician sentence is correctly translated into Japanese, because the meaning is preserved.
Q: Pero que sexa menos... | 多様性を欠くということは必ずしも健康に良いことではありません | task1239_ted_translation_gl_ja | NIv2 | fs_opt | 3 | train |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
[Q]: Carl Sagan sempre dicía: "" Alegacións extraodinarios esixen probas extraordinarias "".
[A]: カール・セーガンはいつも言っていました「意外な主張には意外な証拠が必要になるんだ」
[Q]: O seu neto vive aquí nas cidades xemelgas, en Minnesota.
[A]: 彼女の孫は実はここツ... | 殺された三人の学生につながりのある人たちです
| task1239_ted_translation_gl_ja | NIv2 | fs_opt | 5 | train |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Dous días despois, empezou a ter febre. | その２日後熱が急に出ました | task1239_ted_translation_gl_ja | NIv2 | zs_opt | 0 | train |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
--------
Question: e nunca nos deron unha razón pola que debiamos xogar.
Answer: 遊ぶ理由まで教わりません
Question: Hai programas que podedes conseguir para ver como a xente se vai ver se fuman, se lles dá moito o sol, se gañan p... | 秘密は私達を深い人間性に触れさせあるいは決して会うことのない人と結び合わせてくれるのです
| task1239_ted_translation_gl_ja | NIv2 | fs_opt | 7 | test |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
--------
Question: Preocúpame moito que, sobre todo os nenos de hoxe, non van experimentar este tempo de inactividade xa que teñen unha cultura do clic instantáneo e que todo vén a eles; iso entusiásmalles moito e xérall... | 感染症に罹患した人々は幸運にも回復するか死亡するかでした
| task1239_ted_translation_gl_ja | NIv2 | fs_opt | 7 | validation |
Given a sentence in the Sinhala language, translate it into the English language.
[EX Q]: මෙම හෘත්සනාල මධ් යස්ථාන වෙත ප් රදානයන් විවිධ ප් රතිග් රාහක මගින් ලැබේ.
[EX A]: The inputs to cardiovascular center are received from different receptors.
[EX Q]: මෙම සංවිධාන තාවකාලික වීමට අදහස් කරන නමුත් ස්පාඤ්ඤයේ දිගු කාලී... | Paid Lifeguards patrol beaches during the week over the busiest summer months.
| task601_flores_translation_sntoen | NIv2 | fs_opt | 6 | train |
Given a sentence in the Sinhala language, translate it into the English language.
Input: Consider Input: මයිට් රල් කපාටය පිහිටියේ වම් කර්ණිකාව සහ වම් කෝෂිකාව අතර ය.
Output: The mitral valve is located between the left atrium and the left ventricle.
Input: Consider Input: එය ක්රියාකරන්නේ නොපැසුණු මුද්රික යුෂ ... | Output: Insects,lizards,rats,ground. squirrel,snakes,eagles,hawks like animals can be seen in deserts.
| task601_flores_translation_sntoen | NIv2 | fs_opt | 2 | train |
Detailed Instructions: Given a sentence in the Sinhala language, translate it into the English language.
Q: කෝෂිකා සංකෝචනය වන විට, ඇතිවන පීඩනය නිසා මහාධමනි සහ පුප්ඵුසීය කපාට විවෘත වේ.
A: | The pressure caused by the ventricle contraction opens up the aorta and the pulmonary valves. | task601_flores_translation_sntoen | NIv2 | zs_opt | 9 | train |
Given a sentence in the Sinhala language, translate it into the English language.
One example: කොලැජන් විද් යුතය සන්නයනය නොකරන හෙයින් හෘත් සැකිල්ල හෘදයේ විද් යුත් සන්නයන පද්ධතිය තැනීමේ දී, වැදගත් සීමාවක් සපයයි.
Solution is here: Structure of the heart provides a significant limitation on making heartbeats, because c... | More of the free people of color lived in the south of the island, near port - au - prince, and many intermarried within their community. | task601_flores_translation_sntoen | NIv2 | fs_opt | 6 | train |
Teacher:Given a sentence in the Sinhala language, translate it into the English language.
Teacher: Now, understand the problem? Solve this instance: සමහර ශූරතාවලියන්ගෙන්, විශේෂයෙන්ම කණිෂ්ඨ ශූරතාවලි වල, එකිනෙකාට අවංක වීමට, ක්රීඩකයන් ඔවුන් විසින්ම ඔවුන්ගේ ප්රතිඥා සිදුකරයි.
Student: | In some leagues, especially junior leagues, players make their own calls, trusting each other to be honest. | task601_flores_translation_sntoen | NIv2 | zs_opt | 6 | train |
Given a sentence in the Sinhala language, translate it into the English language.
Input: Consider Input: ටෙනිස් තරගයක් අතරතුරදී ආරම්භක පන්දුව යවන්නාගේ ලකුණු සැමවිටම පලමුවෙන් කියවනු ලැබේ
Output: The score of a tennis game during play is always read with the serving player's score first.
Input: Consider Input: ව... | Output: Casual shoes are characterized by sturdy leather uppers, non - leather outsoles, and wide profile.
| task601_flores_translation_sntoen | NIv2 | fs_opt | 2 | train |
Definition: Given a sentence in the Sinhala language, translate it into the English language.
Input: කුරුළු විශේෂ අතර මැකෝ, ටූකන්, රාජාලින් සිටින අතර යෝධ පිඹුරු වර්ගයක් වන ඇනකොන්ඩාද මෙම වනාන්තර වල දැක ගත හැකිය.
Output: | Among the bird species there are Macaws, Tucans, Eagles, and a giant pythons such as Anacondas can also be found in these forests. | task601_flores_translation_sntoen | NIv2 | zs_opt | 2 | train |
Teacher: Given a sentence in the Sinhala language, translate it into the English language.
Teacher: Now, understand the problem? If you are still confused, see the following example:
කොලැජන් විද් යුතය සන්නයනය නොකරන හෙයින් හෘත් සැකිල්ල හෘදයේ විද් යුත් සන්නයන පද්ධතිය තැනීමේ දී, වැදගත් සීමාවක් සපයයි.
Solution: Structur... | Lifeguards are paid employees who patrol beaches, lakes and pools / aquatic venues. | task601_flores_translation_sntoen | NIv2 | fs_opt | 2 | train |
Teacher:Given a sentence in the Sinhala language, translate it into the English language.
Teacher: Now, understand the problem? Solve this instance: බොහෝ ටයර උපරිම පීඩන අගය සහිතව මුද්රා තබා ඇත.
Student: | Most tires are stamped with a maximum pressure rating. | task601_flores_translation_sntoen | NIv2 | zs_opt | 6 | test |
Instructions: Given a sentence in the Sinhala language, translate it into the English language.
Input: ටික වෙලාවකට පසු, riddler තම කාර්යාලයට පැමිණ ඔහුගේ කාර්යාල සහායකයා ඇගේ මේසයට බැද ඇති බව දකියි. ඔහුගේ කන්තෝරුවේ හාලී, අයිවී සහ සෙලීනා බලාගෙන සිටියි.
Output: | Some time later, riddler arrives at his office to find his secretary bound and gagged at her desk, with Harley, Ivy, and Selina waiting in his office. | task601_flores_translation_sntoen | NIv2 | zs_opt | 3 | validation |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | b
| task214_rocstories_incorrect_ending_classification | NIv2 | fs_opt | 3 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not conne... | b | task214_rocstories_incorrect_ending_classification | NIv2 | fs_opt | 0 | train |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | a | task214_rocstories_incorrect_ending_classification | NIv2 | zs_opt | 0 | train |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | b | task214_rocstories_incorrect_ending_classification | NIv2 | zs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or '... | b | task214_rocstories_incorrect_ending_classification | NIv2 | zs_opt | 5 | train |
Detailed Instructions: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausib... | a | task214_rocstories_incorrect_ending_classification | NIv2 | zs_opt | 8 | train |
Definition: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick th... | a | task214_rocstories_incorrect_ending_classification | NIv2 | zs_opt | 2 | train |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | b | task214_rocstories_incorrect_ending_classification | NIv2 | zs_opt | 0 | train |
Instructions: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick ... | b | task214_rocstories_incorrect_ending_classification | NIv2 | zs_opt | 3 | test |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | a | task214_rocstories_incorrect_ending_classification | NIv2 | fs_opt | 3 | validation |
Teacher:Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
Teacher: Now, understand the problem? Solve this instance: All religion evolved from ancient mythology. Can't stop evolution, but "sepa... | No | task1720_civil_comments_toxicity_classification | NIv2 | zs_opt | 6 | train |
Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
One example: haha you guys are a bunch of losers.
Solution is here: Yes
Explanation: The comment here has word 'losers', which is used as an at... | Yes | task1720_civil_comments_toxicity_classification | NIv2 | fs_opt | 6 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
haha you guys are a b... | Yes | task1720_civil_comments_toxicity_classification | NIv2 | fs_opt | 0 | train |
Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
Example input: haha you guys are a bunch of losers.
Example output: Yes
Example explanation: The comment here has word 'losers', which is used... | Yes | task1720_civil_comments_toxicity_classification | NIv2 | fs_opt | 3 | train |
Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
Q: Uh, no. It's the hate-filled conservative core that has finally found a guy who stands up and says it, loud and proud: I'm a bigot!
What's a... | Yes | task1720_civil_comments_toxicity_classification | NIv2 | zs_opt | 4 | train |
Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
You can't name a single Christianity inspired terrorist attack. If mass shootings are tied to religion, that religion is Islam. | Yes | task1720_civil_comments_toxicity_classification | NIv2 | zs_opt | 0 | train |
Teacher:Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
Teacher: Now, understand the problem? Solve this instance: What the f**k? Admitting to drugging preteen girls so they can be raped isn'... | Yes | task1720_civil_comments_toxicity_classification | NIv2 | zs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
It is on the list, Matt ;)
Output: | No | task1720_civil_comments_toxicity_classification | NIv2 | zs_opt | 1 | train |
Instructions: Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
Input: Let's be clear here. Alaskans don't "believe the state" is on the wrong track. They KNOW that our legislators are on the w... | Yes | task1720_civil_comments_toxicity_classification | NIv2 | zs_opt | 3 | test |
Given the task definition and input, reply with output. Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
Guestsquared: Be happy to discuss this issue with you anytime. There are several dif... | Yes | task1720_civil_comments_toxicity_classification | NIv2 | zs_opt | 5 | validation |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Yes | task608_sbic_sexual_offense_binary_classification | NIv2 | zs_opt | 4 | train |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Yes | task608_sbic_sexual_offense_binary_classification | NIv2 | fs_opt | 9 | train |
Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not ref... | No | task608_sbic_sexual_offense_binary_classification | NIv2 | zs_opt | 8 | train |
Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not ref... | No | task608_sbic_sexual_offense_binary_classification | NIv2 | zs_opt | 9 | train |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | No
| task608_sbic_sexual_offense_binary_classification | NIv2 | fs_opt | 3 | train |
Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference se... | Yes | task608_sbic_sexual_offense_binary_classification | NIv2 | zs_opt | 3 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on... | No | task608_sbic_sexual_offense_binary_classification | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' fo... | Yes | task608_sbic_sexual_offense_binary_classification | NIv2 | zs_opt | 5 | train |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Yes
| task608_sbic_sexual_offense_binary_classification | NIv2 | fs_opt | 0 | test |
Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not ref... | Yes | task608_sbic_sexual_offense_binary_classification | NIv2 | zs_opt | 9 | validation |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Example: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
Example solution: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرت... | Solution: (خنده) رنه دکارت. البته. یه بار دیگه این مردم گرانادا ، انگار تصورات شون در مورد همه خیلی بیماره. | task1263_ted_translation_pl_fa | NIv2 | fs_opt | 5 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
One example: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
Solution is here: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده... | تمامی این فرآیند که در واقع ما می بایستی برای تهیه نقشه از دنباله دار انجام دهیم ، تا محل فرود مناسبی بیابیم ، که ۶۰ روز طول کشید. | task1263_ted_translation_pl_fa | NIv2 | fs_opt | 6 | train |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: Jeśli znów je rozdzielę - mamy światło.
Student: | اگه دوباره جداشون کنم ، نور خواهیم داشت. | task1263_ted_translation_pl_fa | NIv2 | zs_opt | 6 | train |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: Później kompasem i inklinometrem mierzysz kierunek, w którym jaskinia biegnie, oraz nachylenie podłogi i sufitów.
Student: | سپس با استفاده از قطب نما و شیب سنج جهت مسیر غار و شیب کف و سقف غار را تعیین می کنید. | task1263_ted_translation_pl_fa | NIv2 | zs_opt | 6 | train |
instruction:
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
question:
Tak wyglądało to po roku.
answer:
این چیزی است که پس از یک سال اتفاق می افتد.
question:
Absurd. Ale zgodnie z wiktoriańskimi zasadami,
answer:
مضحک و چرند است ولی من باید روش دوره ویکتوریا را دنبال می... | تمامی حصارها در مدرسه سبز ، سبز هستند.
| task1263_ted_translation_pl_fa | NIv2 | fs_opt | 9 | train |
instruction:
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
question:
Przyzwyczailiśmy się do początków, bo byliśmy początkującymi już wiele razy, więc nie boimy się zaczynać nowych rzeczy, i wykraczania poza sferę komfortu.
answer:
ما همچنین به مبتدی بودن عادت داریم ، زیرا... | حرکت سازمان ملل با یک مشکل روبرو شد که اکثریت جمعیت دنیا با آن روبرو شده است نداشتن نقشه هایی با جزئیات
| task1263_ted_translation_pl_fa | NIv2 | fs_opt | 9 | train |
TASK DEFINITION: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
PROBLEM: Co jest złego w pokazaniu dzieciom, że kurczak wygląda jak kurczak?
SOLUTION: چه اِشکالی هست که به بچه ها یاد بدهیم که یک تکه مرغ شبیه یک مرغ واقعی است ؟
PROBLEM: Które nastąpiło najpierw?
SOLUTIO... | ما در دنیایی قرار داریم که بطور گسترده ای پیچیده است ، و ما با استفاده از الگوریت سعی داریم تا یه جورایی آنرا ساده کرده تا بتوانیم درون آن سیر کنیم.
| task1263_ted_translation_pl_fa | NIv2 | fs_opt | 8 | train |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Input: chcę teraz z wami porozmawiać o błędach w szacowaniu wartości.
Output: | من الان می خواهم در مورد اشتاباهات ارزش گذاری صحبت کنم. | task1263_ted_translation_pl_fa | NIv2 | zs_opt | 2 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Q: Zasadniczo, potrzebujemy nowoczesnego systemu rozliczeniowego.
A: | اساساً ، ما به یک سیستم حسابداری پیشرفته نیاز داریم. | task1263_ted_translation_pl_fa | NIv2 | zs_opt | 4 | test |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Example Input: Zobaczcie to krótkie wideo.
Example Output: حالا اینجا یک فیلم کوتاه داریم.
Example Input: Nie taką relację powinniśmy mieć z resztą świata.
Example Output: این رابطه ای نیست که قرار است ما با بقیه ی جهان د... | من یک تقوای تنها را مطالعه کردم: قابل اعتمادبودن.
| task1263_ted_translation_pl_fa | NIv2 | fs_opt | 3 | validation |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | acceptable | task616_cola_classification | NIv2 | fs_opt | 9 | train |
Instructions: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable ... | unacceptable | task616_cola_classification | NIv2 | zs_opt | 3 | train |
Given the task definition and input, reply with output. You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise un... | acceptable | task616_cola_classification | NIv2 | zs_opt | 5 | train |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | acceptable
| task616_cola_classification | NIv2 | fs_opt | 7 | train |
You will be given a definition of a task first, then some input of the task.
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acc... | acceptable | task616_cola_classification | NIv2 | zs_opt | 1 | train |
You will be given a definition of a task first, then some input of the task.
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acc... | acceptable | task616_cola_classification | NIv2 | zs_opt | 1 | train |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | acceptable
****
| task616_cola_classification | NIv2 | fs_opt | 4 | train |
Detailed Instructions: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is ac... | unacceptable | task616_cola_classification | NIv2 | zs_opt | 9 | train |
Detailed Instructions: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is ac... | acceptable | task616_cola_classification | NIv2 | zs_opt | 8 | test |
You will be given a definition of a task first, then some input of the task.
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acc... | unacceptable | task616_cola_classification | NIv2 | zs_opt | 1 | validation |
Please answer the following question: Suggest a movie title for the following movie plot: The film is based on the 11 July 2006 Mumbai train bombings. The film is a take on the lives of Malayalee families affected by the bomb blasts. Mammootty plays a police officer who is a keen observer. Jayasurya plays a singer who ... | The Train | duorc_ParaphraseRC_title_generation | P3 | zs_noopt | 9 | train |
input question: Suggest a movie title for the following movie plot: It begins with Bugs emerging from his hole in a city park, reading the newspaper on his way to the nearest bank, for a withdrawal from his personal depository of carrots. He reads that "Rabbit Season Opens Today" and comments on his pleasure of living ... | Raw Deal | duorc_ParaphraseRC_title_generation | P3 | fs_opt | 9 | train |
Suggest a movie title for the following movie plot: The drama tells the story of John Lennon's teenage years from 1955 to 1960. John was separated from his mother, Julia Lennon, when he was five. He was brought up by his aunt and uncle, Mimi and George Smith, as their own son. He learns the truth at George's funeral, b... | Nowhere Boy | duorc_ParaphraseRC_title_generation | P3 | zs_opt | 2 | train |
Suggest a movie title for the following movie plot: When the film opens, U.S. Army Private Witt (Jim Caviezel), is AWOL from his unit and living with the easy-going and seemingly carefree Melanesian natives in the South Pacific. He is found and imprisoned on a troop carrier by his company First Sergeant Welsh (Sean Pen... | The Thin Red Line | duorc_ParaphraseRC_title_generation | P3 | zs_opt | 7 | train |
Problem: Suggest a movie title for the following movie plot: --written by KrystelClaireThe film starts with photos and shorts of the Latin quarters. There are buses, plenty of grafitti, highways in the middle of the city of LA. Some of the shots have been taken from YouView, which works, obviously, the same as YouTube.... | Mad Max | duorc_ParaphraseRC_title_generation | P3 | fs_opt | 7 | train |
input: Please answer the following: Suggest a movie title for the following movie plot: Dylan (Michael Angarano), a high school student with an inoperable brain tumor, lives with his widowed mother Carol (Cynthia Nixon) in Marcus Hook, Pennsylvania. He is invited on television by a wish-granting organization and stuns ... | After the Fox | duorc_ParaphraseRC_title_generation | P3 | fs_opt | 5 | train |
Suggest a movie title for the following movie plot: Laura Reynolds (Elizabeth Taylor) is a free-spirited, unwed single mother living with her young son Danny (Morgan Mason) in an isolated California beach house near Big Sur. She makes a modest living as an artist and home-schools her son out of concern that he will be ... | The Sandpiper | duorc_ParaphraseRC_title_generation | P3 | zs_noopt | 0 | train |
Suggest a movie title for the following movie plot: Katy (Jenny McCarthy) and Becka (Pamela Anderson) are talking about a cursed tape in which Katy refers to a sex tape, but Becka refers to a cursed tape (The Ring). After several paranormal events, they die when the television turns on.In a farm outside Washington, D.C... | Scary Movie 3 | duorc_ParaphraseRC_title_generation | P3 | zs_noopt | 7 | train |
Suggest a movie title for the following movie plot: Howard P. Lovecraft (Jeffrey Combs) is the narrator who says that he found out that the Necronomicon book was located somewhere in America, guarded by some monks. He wanted to find it to use it for his writings. In there book, the secrets to the universe, past, presen... | Necronomicon | duorc_ParaphraseRC_title_generation | P3 | zs_noopt | 7 | test |
input question: Suggest a movie title for the following movie plot: Harold has fallen ill and his ogre son-in-law Shrek and daughter Fiona are next in line to be king and queen. Shrek declines, insisting that an ogre as king is a bad idea and that there has to be someone else for the job. With his final few breaths, th... | Curse of the Fly | duorc_ParaphraseRC_title_generation | P3 | fs_opt | 7 | validation |
Attributes: name = Fitzbillies, eatType = coffee shop, food = French, priceRange = high, customer rating = 3 out of 5, area = riverside, familyFriendly = no. Produce a detailed sentence about this restaurant. | In riverside, there is a coffee shop that serves French food called Fitzbillies. They have a high price range, 3 out of 5 customer rating, and are not kid friendly. | gem_e2e_nlg_1_1_0 | Flan2021 | zs_noopt | 0 | train |
Produce a detailed sentence about a restaurant using the following words: name = The Vaults, eatType = restaurant, food = Japanese, priceRange = less than £20, familyFriendly = yes | There is a Japanese restaurant called The Vaults. It is family friendly restaurant for under £20. | gem_e2e_nlg_1_1_0 | Flan2021 | zs_noopt | 8 | train |
Data: name = The Golden Curry, food = Chinese, customer rating = 5 out of 5.
A sentence that describes this data: The Golden Curry provides Chinese food Its customer rating is 5 out of 5.
Data: name = The Vaults, food = Italian, priceRange = more than £30, familyFriendly = yes.
A sentence that describes this data: ... | Browns Cambridge is a Fast food serving coffee shop near Crowne Plaza Hotel, that is family friendly and has an average customer rating in the riverside area. | gem_e2e_nlg_1_1_0 | Flan2021 | fs_opt | 7 | train |
Produce a detailed sentence about a restaurant using the following words: name = The Twenty Two, eatType = pub, food = English, familyFriendly = yes | The Twenty Two is a family friendly pub serving British cuisine. | gem_e2e_nlg_1_1_0 | Flan2021 | zs_noopt | 8 | train |
Here are some keywords about a restaurant:
name = Alimentum, eatType = restaurant, food = Chinese, priceRange = cheap, near = Yippee Noodle Bar.
A: Alimentum is a restaurant providing Chinese food in the low price range. It is located in near Yippee Noodle Bar.
[Q]: Sentence: name = Green Man, food = Chinese, priceR... | Riverside has a fast food restaurant named The Golden Curry. Located near Café Rouge, The Golden Curry is a family friendly restaurant. The Golden Curry has an average customer rating. | gem_e2e_nlg_1_1_0 | Flan2021 | fs_opt | 5 | train |
Write a sentence that is about a restaurant with all the following properties: name = The Wrestlers, food = Japanese, priceRange = cheap, customer rating = 5 out of 5, familyFriendly = yes | The Wrestlers is a cheap, family friendly, Japanese place with a 5 out of 5 customer rating. | gem_e2e_nlg_1_1_0 | Flan2021 | zs_noopt | 7 | train |
Data: name = Browns Cambridge, priceRange = less than £20.
A: Browns Cambridge is a nice place for inexpensive food and drinks.
Data: name = The Golden Curry, eatType = restaurant, food = Fast food, customer rating = average, area = riverside, familyFriendly = yes, near = Café Rouge.
A: The Golden Curry is a family f... | The Phoenix is not rated as a quality fast food restaurant, and it quite expensive. It's located at the riverside. | gem_e2e_nlg_1_1_0 | Flan2021 | fs_opt | 1 | train |
Problem: Data: name = The Cricketers, eatType = pub, eatType = restaurant, customer rating = high, familyFriendly = yes, near = Ranch. Can you generate a sentence?
Answer: The Cricketers is a kid friendly restaurant that offers pub food. It has a high rating and is located near Ranch.
Problem: Data: name = Loch Fyne, ... | The Golden Curry is a restaurant that is a family Friendly place and the food is Italian. they sadly have a low customer rating | gem_e2e_nlg_1_1_0 | Flan2021 | fs_noopt | 8 | train |
name = The Punter, eatType = coffee shop, food = French, priceRange = less than £20, customer rating = low, familyFriendly = no, near = Café Sicilia.
****
Answer: The Punter is a non family-friendly French coffee shop with prices ranging less than £20. It can be found near Café Sicilia and has a low customer rating.
... | Cotto is a family friendly restaurant that is rated 3 out of 5 with customers near Ranch that serves Chinese food. | gem_e2e_nlg_1_1_0 | Flan2021 | fs_opt | 6 | test |
Here is some data about a restaurant: name = Loch Fyne, eatType = restaurant, food = French, priceRange = cheap, familyFriendly = yes. Write a sentence that includes the following data about a restaurant | Loch Fyne is a cheap French restaurant which is family friendly. | gem_e2e_nlg_1_1_0 | Flan2021 | zs_noopt | 4 | validation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.