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Detailed Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Problem:Fact1: Most protists have motility., Fact2: Protists Protists are single-celled organisms., Question: What is one thing most si... | D | task1297_qasc_question_answering | NIv2 | zs_opt | 8 | train |
Detailed Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
See one example below:
Problem: Fact1: a plant requires sunlight to grow, Fact2: Plants to avoid are fast-growing vines that can take o... | E | task1297_qasc_question_answering | NIv2 | fs_opt | 4 | train |
Teacher:In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Teacher: Now, understand the problem? Solve this instance: Fact1: Reproduction is the process by which living things give rise to offspring., Fact2: S... | A | task1297_qasc_question_answering | NIv2 | zs_opt | 6 | train |
Detailed Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
See one example below:
Problem: Fact1: a plant requires sunlight to grow, Fact2: Plants to avoid are fast-growing vines that can take o... | G | task1297_qasc_question_answering | NIv2 | fs_opt | 4 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Fact1: a mutation in the sex cells of a parent can cause a new trait to appear i... | B | task1297_qasc_question_answering | NIv2 | zs_opt | 1 | train |
Definition: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Input: Fact1: being burried under soil and mud changes vegetation into peat through extreme heat and pressure in a swamp over a long period of tim... | F | task1297_qasc_question_answering | NIv2 | zs_opt | 2 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Example: Fact1: a plant requires sunlight to grow, Fact2: Plants to avoid are fas... | B | task1297_qasc_question_answering | NIv2 | fs_opt | 1 | train |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
[Q]: Fact1: Populations of viruses do not grow through cell division because they are not cells., Fact2: Viruses are the cause of many diseases., Question: W... | C
| task1297_qasc_question_answering | NIv2 | fs_opt | 5 | train |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Q: Fact1: cold fronts cause thunderstorms as they pass by, Fact2: All thunderstorms produce lightning., Question: Cold fronts cause what? (A) lightning (B) De... | A | task1297_qasc_question_answering | NIv2 | zs_opt | 4 | test |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
One example: Fact1: a plant requires sunlight to grow, Fact2: Plants to avoid are fast-growing vines that can take over an area in no time., Question: What re... | H | task1297_qasc_question_answering | NIv2 | fs_opt | 6 | validation |
Please answer the following question: Here's a short story: Harry noticed that he got a much less smooth ride when travelling with his bicycle over sand than when travelling over pavement. Riding his bicycle over _____ generates less heat (A) sand (B) pavement. What is the most sensical answer between "sand" and "pav... | pavement | quarel_heres_a_story | P3 | zs_noopt | 8 | train |
Please answer the following question: Here's a short story: Tom's paper plane heated up less when he flew it through the air compared to when he slid it over the table. He learned that the _____ had less friction (A) air (B) table. What is the most sensical answer between "air" and "table"?
A: | air | quarel_heres_a_story | P3 | zs_noopt | 8 | train |
Ques:Here's a short story: Neptune is one of the largest planets in the solar system. Which object has stronger gravity? (A) Mercury (B) Neptune. What is the most sensical answer between "Neptune" and "Mercury"?
Ans:Mercury
-----
Ques:Here's a short story: Even though she was accident prone, Emma thankfully never ma... | streetlight
----- | quarel_heres_a_story | P3 | fs_opt | 9 | train |
Here's a short story: When the race car engine started up in the driveway it was very loud but as it pulled away and got farther away it became (A) louder (B) quieter.. What is the most sensical answer between "Engine far away" and "Engine nearby"?
Engine nearby
------
Here's a short story: Harold pulled his dogcart ... | tile
------ | quarel_heres_a_story | P3 | fs_opt | 5 | train |
Ques:Here's a short story: Jeri noticed that the pool cue ball moves faster on the felt of the table than on the carpeted game room floor. The cue ball moves faster on the felt surface because the felt has (A) less resistance (B) more resistance. What is the most sensical answer between "felt" and "carpet"?
Ans:felt... | Monkey
----- | quarel_heres_a_story | P3 | fs_opt | 9 | train |
(Question)
Here's a short story: John's whiffle ball warms up more when he rolls it over desert compared to when he rolls it over his driveway. The surface of the _____ is more smooth (A) desert (B) driveway. What is the most sensical answer between "desert" and "driveway"?
(Answer)
driveway
(Question)
Here's a sho... | in better shape now | quarel_heres_a_story | P3 | fs_opt | 6 | train |
Q: Here's a short story: Gary is trying to bend different things. He tries to bend a rubber mat and a wooden pencil. Which breaks first? (A) rubber mat (B) wooden pencil. What is the most sensical answer between "wooden pencil" and "rubber mat"?
A: rubber mat
Q: Here's a short story: Ben is playing with a remote co... | A: sidewalk | quarel_heres_a_story | P3 | fs_opt | 2 | train |
Answer the following question: Here's a short story: A child slips more easily on ice than on a sidewalk. This is because there is less friction on the (A) ice (B) sidewalk.. What is the most sensical answer between "ice" and "sidewalk"?
Answer: | ice | quarel_heres_a_story | P3 | zs_opt | 5 | train |
Here's a short story: The unicycle was able to pick up more speed on the asphalt versus the beach sand because (A) the asphalt has lower resistance (B) the asphalt has higher resistance. What is the most sensical answer between "asphalt" and "beach sand"?
The answer to this question is: | asphalt | quarel_heres_a_story | P3 | zs_noopt | 7 | test |
Here's a short story: A boomerang thrown into a windy sky heats up quite a bit, but one thrown into a calm sky stays about the same temperature. Which surface puts the least amount of friction on the boomerang? (A) windy sky (B) calm sky. What is the most sensical answer between "windy sky" and "calm sky"?
calm sky
H... | person walking | quarel_heres_a_story | P3 | fs_opt | 0 | validation |
Given the task definition, example input & output, solve the new input case.
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects... | Sentence 1: The music sounded better coming from the organ than the piano because the _ was old and needed tuning.
Answer1: piano.
Sentence 2: The music sounded better coming from the organ than the piano because the _ was big and impressive.
Answer2: organ. | task029_winogrande_full_object | NIv2 | fs_opt | 1 | train |
Detailed Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, t... | Sentence 1: I've never been able to tell the difference between instruments like cello and a violin. I think the _ is just a larger version.
Answer1: cello.
Sentence 2: I've never been able to tell the difference between instruments like cello and a violin. I think the _ is just a smaller version.
Answer2: violin. | task029_winogrande_full_object | NIv2 | zs_opt | 9 | train |
Teacher: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentenc... | Sentence 1: Don needed to go to the atm to get money out, but the _ was not working.
Answer1: atm.
Sentence 2: Don needed to go to the atm to get money out, because the _ was gone.
Answer2: money. | task029_winogrande_full_object | NIv2 | fs_opt | 2 | train |
Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two se... | Sentence 1: She was trying to think more positively so she dusted off a self-help book and picked up a journal. The _ was old.
Answer1: book.
Sentence 2: She was trying to think more positively so she dusted off a self-help book and picked up a journal. The _ was new.
Answer2: journal. | task029_winogrande_full_object | NIv2 | zs_opt | 3 | train |
Detailed Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, t... | Sentence 1: Amelia and Clare's blog included both essays and listicles. Because Amelia was a more lighthearted writer, she wrote the _ .
Answer1: listicles.
Sentence 2: Amelia and Clare's blog included both essays and listicles. Because Clare was a more serious writer, she wrote the _ .
Answer2: essays. | task029_winogrande_full_object | NIv2 | zs_opt | 8 | train |
Given the task definition and input, reply with output. In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy... | Sentence 1: Mary walked her toddler to preschool, and on the way they found a twig and a newspaper. The _ was on the sidewalk.
Answer1: twig.
Sentence 2: Mary walked her toddler to preschool, and on the way they found a twig and a newspaper. The _ was on a table.
Answer2: newspaper. | task029_winogrande_full_object | NIv2 | zs_opt | 5 | train |
Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two se... | Sentence 1: Jenna added chlorine gradually to her pool, because she wanted to make sure that the _ was making it cleaner.
Answer1: chlorine.
Sentence 2: Jenna added chlorine gradually to her pool, because she wanted to make sure that the _ was not salty.
Answer2: pool. | task029_winogrande_full_object | NIv2 | zs_opt | 3 | train |
Q: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences mus... | Sentence 1: When he wanted to transition a firefighter, they told him he was too short and weak. The _ issue was harder to resolve.
Answer1: short.
Sentence 2: When he wanted to transition a firefighter, they told him he was too short and weak. The _ issue was easier to resolve.
Answer2: weak. | task029_winogrande_full_object | NIv2 | zs_opt | 7 | train |
Teacher: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentenc... | Sentence 1: The boss was undermining his career but could not affect his salary, as the _ was vulnerable to his manipulations.
Answer1: career.
Sentence 2: The boss was undermining his career but could not affect his salary, as the _ was protected from his manipulations.
Answer2: salary. | task029_winogrande_full_object | NIv2 | fs_opt | 2 | test |
Teacher: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentenc... | Sentence 1: Jane wanted to clean the hall with the vacuum cleaner attached with a cable but the _ is too short.
Answer1: cable.
Sentence 2: Jane wanted to clean the hall with the vacuum cleaner attached with a cable but the _ is too wide.
Answer2: hall. | task029_winogrande_full_object | NIv2 | fs_opt | 2 | validation |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
7枚の鏡が設置され望遠鏡が完成するのは 2020年代の中頃になるでしょう
| E o telescopio enteiro estará rematado a mediados da próxima década, cos sete espellos. | task1095_ted_translation_ja_gl | NIv2 | zs_opt | 5 | train |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
[Q]: ドアの下に口を置くと質問をするという意味になります
[A]: Unha boca dentro dunha porta: preguntar
[Q]: もはや今までに見た事もないような核戦争が起こらない限りこの状況は止まらないでしょう
[A]: Non hai nada, agás unha guerra nuclear de grandes proporcións nunca vista, que poida dete... | Só mediante a supervivencia infantil poderemos parar o crecemento da poboación.
| task1095_ted_translation_ja_gl | NIv2 | fs_opt | 5 | train |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Ex Input:
スピルバーグの映画では共謀した恐竜が人々を襲い始めます
Ex Output:
Claro, iso é o que acontece na película de Steven Spielberg. Dinosauros que conspiran e perseguen xente.
Ex Input:
これが現在の様子ですしかしこれが1950年代の様子です同じ場所で同じ船で同じ港の同じボードです
Ex ... | Penso que hai motivos para a esperanza.
| task1095_ted_translation_ja_gl | NIv2 | fs_opt | 1 | train |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
小さな７歳のピカソの夢は粉々に砕かれました
Os meus soños do pequeno Picasso de sete anos esmagados.
これを見ると70億人いると分かります「エア層」や「物干し層」の人「電球層」や「焚き火層」の人
Mirade isto, vedes os sete mil millóns de persoas aí enriba: a xente do ar, xente do lavado,... | Todo o que escoitara deles era o pobres que eran, así que érame imposible miralos
| task1095_ted_translation_ja_gl | NIv2 | fs_opt | 0 | 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 Galician.
Example: 処方箋を支払う為の保険は ？
Output: Terán seguro para pagar a receita?
The Japanese sentence is correctly translated into Galician, because the mea... | Quixemos cultivar células obtidas deses anacos de tecido. | task1095_ted_translation_ja_gl | NIv2 | fs_opt | 1 | train |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
[Q]: 毛細血管の小さな房
[A]: Observade esta pequena mata de capilares.
[Q]: 小さな７歳のピカソの夢は粉々に砕かれました
[A]: Os meus soños do pequeno Picasso de sete anos esmagados.
[Q]: 人生に「イエス」と言うのです
[A]: | Si á vida.
| task1095_ted_translation_ja_gl | NIv2 | fs_opt | 5 | train |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Q: 我々の工場機器の資本コストは非常に低く
A: | Temos costes capitais moi baixos no noso equipo de planta. | task1095_ted_translation_ja_gl | NIv2 | zs_opt | 4 | train |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Input: Consider Input: だから私たちは一人残らず後世の子どもたちにとっての祖父母になるというわけです
Output: Así que esencialmente, todos nos convertemos en avós para as xeracións de nenos que veñen tras de nós.
Input: Consider Input: 上についているレーザーセンサを使っていま... | Output: O meu fillo está a deixar tinta vermella, eu estou a deixar tinta verde.
| task1095_ted_translation_ja_gl | NIv2 | fs_opt | 2 | train |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
（ 笑 ） 屋根を覆うとある女性がジョークを言いました「神様が見つけてくれるわ」
A: | (Risas) Cando os tellados estaban cubertos, unha muller dixo de broma: "Agora Deus pode verme." | task1095_ted_translation_ja_gl | NIv2 | zs_opt | 7 | test |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Example: 処方箋を支払う為の保険は ？
Example solution: Terán seguro para pagar a receita?
Example explanation: The Japanese sentence is correctly translated into Galician, because the meaning is preserved.
Problem: このグラフには、 4種類の要素と教... | Solution: Este gráfico amosa catro factores e indica en que medida inflúen na calidade do ensino. | task1095_ted_translation_ja_gl | NIv2 | fs_opt | 5 | validation |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., Person... | Yes | task1198_atomic_classification_owant | NIv2 | zs_opt | 1 | train |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | No
| task1198_atomic_classification_owant | NIv2 | fs_opt | 1 | train |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | Yes | task1198_atomic_classification_owant | NIv2 | zs_opt | 9 | train |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | No | task1198_atomic_classification_owant | NIv2 | fs_opt | 6 | train |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes
| task1198_atomic_classification_owant | NIv2 | fs_opt | 5 | train |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | No | task1198_atomic_classification_owant | NIv2 | zs_opt | 0 | train |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | No | task1198_atomic_classification_owant | NIv2 | zs_opt | 8 | 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 tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have ... | Yes | task1198_atomic_classification_owant | NIv2 | fs_opt | 0 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have ... | Yes | task1198_atomic_classification_owant | NIv2 | fs_opt | 0 | test |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., Person... | Yes | task1198_atomic_classification_owant | NIv2 | fs_opt | 1 | validation |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
特殊な感覚鎖繊維は筋肉に含まれる核器官です。
Output: | Une fibre de chaîne sensorielle spécialisée est un organe nucléaire contenu dans un muscle. | task815_pawsx_japanese_french_translation | NIv2 | zs_opt | 1 | train |
Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
ドラマティックスピーキングおよびパブリックアート部門は、もともとT. Earl Pardoeが率いていました。 | Le département des arts dramatiques et publics était à l'origine dirigé par T. Earl Pardoe. | task815_pawsx_japanese_french_translation | NIv2 | zs_opt | 0 | train |
Q: Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
ニューヨークでレナードとグリフィスの間の会議の後、グリフィスはロサンゼルスに飛んで、エピソードを撮影しました。
A: | Après des conférences entre Leonard et Griffith à New York, Griffith s'est envolé pour Los Angeles et a filmé l'épisode. | task815_pawsx_japanese_french_translation | NIv2 | zs_opt | 7 | train |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
1956年の夏に、マイクバーネットはシリーズの同じ年の終わりまでフランクラブジョイの役割を引き継ぎました。
Output: | À l'été 1956, Mike Barnett a repris le rôle de Frank Lovejoy jusqu'à la fin de la série la même année. | task815_pawsx_japanese_french_translation | NIv2 | zs_opt | 1 | train |
Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
--------
Question: 彼らの関係の間に、ペアはロサンゼルスに住んでいました、シーモアは彼女の仕事のためにロンドンとロサンゼルスでもっと時間を費やしました。
Answer: Tout au long de sa relation, le couple a vécu à Los Angeles,... | Kathryn Lindskoog, une universitaire indépendante de Lewis, a fait valoir que les recherches de Hooper n'étaient pas fiables et qu'il avait fait de fausses déclarations et attribué de faux travaux.
| task815_pawsx_japanese_french_translation | NIv2 | fs_opt | 7 | train |
Detailed Instructions: Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Problem:Andrea Bocelliは彼女のリハーサルパフォーマンスを「とてもいい」と言い、David Fosterは彼女の声を素晴らしいと言っています。
Solution: | Andrea Andrea Bocelli a qualifié son exemple de performance de «très sympa» et David Foster a qualifié sa voix de spectaculaire. | task815_pawsx_japanese_french_translation | NIv2 | zs_opt | 8 | train |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Example: 1975 - 76年のNBAシーズンは、全米バスケットボール協会の30番目のシーズンでした。
Output: La saison 19... | À compter du 1er juillet 2000, le village de Mineral Hills et la ville de Stambaugh ont été regroupés avec la ville d’Iron River. | task815_pawsx_japanese_french_translation | NIv2 | fs_opt | 1 | train |
Q: Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Seb Janiakは、フランス出身の写真家であり、ポーランド出身のビデオディレクターです。
A: | Seb Janiak est le photographe et réalisateur français d'origine polonaise. | task815_pawsx_japanese_french_translation | NIv2 | zs_opt | 7 | train |
Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
One example is below.
Q: 1975 - 76年のNBAシーズンは、全米バスケットボール協会の30番目のシーズンでした。
A: La saison 1975-1976 de la National Basketball Association était la 30e saison ... | En 1406, il fit ajouter le Juliana Anicia Codex de Dioscurides, un rebond, une table des matières et une minuscule scholia restaurée en grec byzantin extensif. | task815_pawsx_japanese_french_translation | NIv2 | fs_opt | 9 | test |
Instructions: Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Input: Hector Crawfordは、3DBマネージャで管理者のCurteis Crawfordの兄弟であり、またDorothy Crawfordの兄弟でした。
Output: | Hector Crawford était le frère du directeur et administrateur de 3DB, Curteis Crawford, ainsi que le frère de Dorothy Crawford. | task815_pawsx_japanese_french_translation | NIv2 | zs_opt | 3 | validation |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Input: Consider Input: Patients with asthma, a major public health problem, are at high risk for serious disease from influenza virus infection, but the pathogenic mechanisms by... | Output: Direct reprogramming of mouse fibroblasts to neural progenitors.
| task1586_scifact_title_generation | NIv2 | fs_opt | 2 | train |
Given the task definition and input, reply with output. In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Classical C2H2 zinc finger proteins are among the most abundant transcription factors found in eukaryotes, and the mechan... | The multi-zinc finger protein ZNF217 contacts DNA through a two-finger domain. | task1586_scifact_title_generation | NIv2 | zs_opt | 5 | train |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Skeletal muscle overload induces the expression of angiogenic factors such as vascular endothelial growth factor (VEGF) and matrix metalloproteinase (MMP)-2, leading to new capi... | Angiotensin II Evokes Angiogenic Signals within Skeletal Muscle through Co-ordinated Effects on Skeletal Myocytes and Endothelial Cells | task1586_scifact_title_generation | NIv2 | zs_opt | 0 | train |
Q: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
IRGM, a human immunity-related GTPase, confers autophagic defence against intracellular pathogens by an unknown mechanism. Here, we report an unexpected mode of IRGM action. I... | Human IRGM Regulates Autophagy and Its Cell-Autonomous Immunity Functions Through Mitochondria | task1586_scifact_title_generation | NIv2 | zs_opt | 7 | train |
Instructions: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Input: The multifunctional signaling protein p75 neurotrophin receptor (p75(NTR)) is a central regulator and major contributor to the highly invasive nature of mali... | Gamma-Secretase Represents a Therapeutic Target for the Treatment of Invasive Glioma Mediated by the p75 Neurotrophin Receptor | task1586_scifact_title_generation | NIv2 | zs_opt | 3 | train |
Teacher: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Alterations of the architecture of cerebral white matter in the developing hu... | Two Subsets of Naive T Helper Cells with Distinct T Cell Receptor Excision Circle Content in Human Adult Peripheral Blood | task1586_scifact_title_generation | NIv2 | fs_opt | 2 | train |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Cilia are sensory organelles that protrude from cell surfaces to monitor the surrounding environment. In addition to its role as sensory receiver, the cilium also releases extra... | Ciliary Extracellular Vesicles: Txt Msg Organelles | task1586_scifact_title_generation | NIv2 | zs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Despite its key role in determining the stability and intensity of malaria transmission, the infectiousness of human popu... | Infectiousness of malaria-endemic human populations to vectors. | task1586_scifact_title_generation | NIv2 | zs_opt | 5 | train |
Detailed Instructions: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Problem:Young patients with an ischaemic stroke or transient ischaemic attack (TIA) often have no vascular risk factors. Hyperhomocysteinaemia is an establ... | Plasma homocysteine is a risk factor for recurrent vascular events in young patients with an ischaemic stroke or TIA | task1586_scifact_title_generation | NIv2 | zs_opt | 8 | test |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
3'-Ends of almost all eukaryotic mRNAs are generated by endonucleolytic cleavage and addition of a p... | 3'-End processing of pre-mRNA in eukaryotes. | task1586_scifact_title_generation | NIv2 | zs_opt | 1 | validation |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Review: Not really spoilers in my opinion, but I wanted to cove... | yes
****
| task285_imdb_answer_generation | NIv2 | fs_opt | 4 | train |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Review: For a movie that gets no respect there sure are a ... | Solution: no | task285_imdb_answer_generation | NIv2 | fs_opt | 5 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate ans... | no | task285_imdb_answer_generation | NIv2 | zs_opt | 1 | train |
Teacher:In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? Solve this instance: ... | no | task285_imdb_answer_generation | NIv2 | zs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate ans... | yes | task285_imdb_answer_generation | NIv2 | zs_opt | 1 | train |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Ex Input:
Review: Sure, he became rapidly uneven after this film, ... | no
| task285_imdb_answer_generation | NIv2 | fs_opt | 1 | train |
Detailed Instructions: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Review: A killer, wearing a plastic white... | yes | task285_imdb_answer_generation | NIv2 | zs_opt | 9 | train |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example: Review: For a movie that gets no respect there sure ar... | no | task285_imdb_answer_generation | NIv2 | fs_opt | 6 | train |
Detailed Instructions: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
See one example below:
Problem: Review: For ... | yes | task285_imdb_answer_generation | NIv2 | fs_opt | 4 | test |
instruction:
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
question:
Review: This wasn't the major disaster that ... | yes
| task285_imdb_answer_generation | NIv2 | fs_opt | 9 | validation |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
母と 5人の子供
Output: | كانت أمي ومعها خمس أطفال. | task1224_ted_translation_ja_ar | NIv2 | zs_opt | 1 | train |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Input: だからシステムを変えればがんに対して著しい効果を発揮することができる
Output: | تغير ذلك النظام فتتمكن من الحصول على تأثيرات ملحوظة على السرطان | task1224_ted_translation_ja_ar | NIv2 | zs_opt | 3 | train |
instruction:
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
question:
このマシンの規模はどれほどでしょう
answer:
ما هي أبعاد هذه الآلة ؟
question:
体のサイズが最大になるのに５千万年かかりました
answer:
50 مليون عام لتصل لذلك الحجم الكبير
question:
真の戦いは我々自身の中にあります官僚主義や複雑さと戦うのです
answer:
| إن المعركة الحقيقية هي ضد أنفسنا ، ضد روتيننا ، تعقيدنا.
| task1224_ted_translation_ja_ar | NIv2 | fs_opt | 9 | train |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
皆さんは気づいたかもしれませんが反対運動の最中では川の上を飛ばしているので安全です
| إذن في الاحتجاجات ، ربما لاحظتم ، طارت الكاميرات فوق النهر فكانت نوعًا ما آمنة. | task1224_ted_translation_ja_ar | NIv2 | zs_opt | 5 | train |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: 数億ドルを費やしてワクチンの製造を急いだのです
Student: | مئات ملايين الدولارات أنفقت لتسريع عملية تصنيع اللقاح. | task1224_ted_translation_ja_ar | NIv2 | zs_opt | 6 | train |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
See one example below:
Problem: 地球が今よりも無垢だった時代を訪れたかのようでした
Solution: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Explanation: The Japanese sentence is correctly translated into Arabic, because t... | ابعد لسانك قليلا... باري | task1224_ted_translation_ja_ar | NIv2 | fs_opt | 4 | train |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Input: 車ばかりの道の代わりに好きな人に沢山出会える道を選ぶことで道のりは全く違ったものになります
Output: | أسلك المسار المليء بـالناس الذين تحبهم وليس المليء بـالسيارات ، وسيكون لديك مسار مختلف تمامًا. | task1224_ted_translation_ja_ar | NIv2 | zs_opt | 3 | train |
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following example:
地球が今よりも無垢だった時代を訪れたかのようでした
Solution: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Reason: The Japanese sentence is co... | لقد عملنا على حل هذه المشكلة لمدة 25 عاماً ، منذ مؤتمر ريو ، بروتوكولات كيوتو. | task1224_ted_translation_ja_ar | NIv2 | fs_opt | 2 | train |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
私はこれが本当に ― 最近母にこれを見せました
A: | التي أرى أنها كانت حقاً... ؛ عرضتها على أمي في مؤخراً. | task1224_ted_translation_ja_ar | NIv2 | zs_opt | 7 | test |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
これらはまだ公開されていないプロジェクトです
A: | لذلك فهذه بعض المشاريع الأحدث و التي لم يتم نشرها فعليا بعد. | task1224_ted_translation_ja_ar | NIv2 | zs_opt | 7 | validation |
instruction:
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Some ballerinas are on stage dancing.
| task184_snli_entailment_to_neutral_text_modification | NIv2 | fs_opt | 9 | train |
instruction:
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | The people are hanging on hooks laid out
| task184_snli_entailment_to_neutral_text_modification | NIv2 | fs_opt | 9 | train |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | A man making a a jar from clay at a pottery exhibition while three women watch. | task184_snli_entailment_to_neutral_text_modification | NIv2 | zs_opt | 4 | train |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | People a playing a sport to help fund a crippled people fund. | task184_snli_entailment_to_neutral_text_modification | NIv2 | fs_opt | 8 | train |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronou... | A man is playing his accordion and collecting money in a hat on the street. | task184_snli_entailment_to_neutral_text_modification | NIv2 | zs_opt | 3 | train |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid usi... | The girl is smiling because her mom went to get her somethign to eat. | task184_snli_entailment_to_neutral_text_modification | NIv2 | fs_opt | 4 | train |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confu... | A boy is dumping a bucket of water. | task184_snli_entailment_to_neutral_text_modification | NIv2 | zs_opt | 7 | train |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New informa... | The man likes the lion. | task184_snli_entailment_to_neutral_text_modification | NIv2 | zs_opt | 5 | train |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | A girl and her dog are playing in a park.
| task184_snli_entailment_to_neutral_text_modification | NIv2 | fs_opt | 0 | test |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than ... | a man preaches to a group of three | task184_snli_entailment_to_neutral_text_modification | NIv2 | zs_opt | 1 | validation |
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