source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
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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 con... | 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... | 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, otherwi... | 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 ... | 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 stor... | 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 con... | 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, otherwi... | 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, otherwi... | 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, otherwi... | 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 ... | 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... | 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 colloquia... | 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 f... | 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 f... | 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* lo... | 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 colloquia... | 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 colloquia... | 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... | 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 form... | 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* look... | 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 در... | 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 جد... | 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: | 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. | 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: | البته نوآوری به معني استفاده از تكنيك های تازه و موقعيت های جديد نيست ؛ بلكه | 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 sentenc... | لذا تیم ما روش های جدیدی ابداع کرد برای عملاً رشد دادن و شبيه سازی کروموزم های کامل باکتری در مخمر. | 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: | این شکل آزمایشگاه فرانکِنشتاین است. | 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. | 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 ... | 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 تو... | 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 ... | 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 ... | yes | 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... | 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 ca... | Solution: no | 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 ... | 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 identi... | 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 ca... | 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 ca... | 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 ca... | 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 ca... | 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 ca... | 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: دیگ... | 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 ... | 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 خائم... | 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... | 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: جبه... | 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 اسرائي... | 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: Pr... | 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: ... | 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 ... | 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", ... | 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 စစ်မှ... | 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... | 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 ဖော်ပြခဲ့သ... | 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 ကိ... | 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 စ... | 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 ၏ နှုတ်ထွ... | 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. | 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 Zimba... | "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 b... | 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 probabi... | 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 b... | 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 b... | 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 b... | 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 reasona... | 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 proba... | 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... | 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 reasona... | 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 b... | 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 s... | 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 co... | 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. S... | 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... | 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,... | 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. Giv... | 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 Exc... | 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, na... | 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 wh... | Plant | 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 ... | 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 interval... | Film | 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 categ... | Building | 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 ... | Plant | 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 instit... | Plant | 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 mo... | 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 . | 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 ... | 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... | 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 " Tozie... | 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-m... | 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 terr... | 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 Europ... | 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 Fre... | 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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