source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
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Detailed Instructions: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an ev... | [27, 67, 69] | task205_remove_even_elements | NIv2 | zs_opt | 8 | train |
Detailed Instructions: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an ev... | [67, 145, 179] | task205_remove_even_elements | NIv2 | fs_opt | 4 | train |
Given the task definition and input, reply with output. In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned... | [67, 143] | task205_remove_even_elements | NIv2 | zs_opt | 5 | train |
Detailed Instructions: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an ev... | [101, 21, 189, 173, 55] | task205_remove_even_elements | NIv2 | zs_opt | 8 | train |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Q: [139, 107... | [139, 107, 63, 147] | task205_remove_even_elements | NIv2 | zs_opt | 4 | train |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Input: Cons... | Output: [15, 125, 33, 163]
| task205_remove_even_elements | NIv2 | fs_opt | 2 | train |
Detailed Instructions: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an ev... | [199, 43, 33] | task205_remove_even_elements | NIv2 | fs_opt | 4 | train |
Definition: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
... | [175, 199, 197, 41, 25] | task205_remove_even_elements | NIv2 | zs_opt | 2 | train |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Q: [153, 61,... | [153, 61, 133] | task205_remove_even_elements | NIv2 | zs_opt | 4 | test |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Example: [3,... | Solution: [49, 23, 89, 87] | task205_remove_even_elements | NIv2 | fs_opt | 5 | validation |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
[Q]: Планът трябваше да бъде предаден на Съвета и на Парламента миналата есен.
[A]: The plan was due to be submitted to the Council and Parliament last autumn.
[Q]: Усъвършенст... | Consequently, production costs will grow, which will put farmers from new Member States at the biggest disadvantage.
| task271_europarl_translation | NIv2 | fs_opt | 5 | train |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
One example is below.
Q: Състав на Парламента: вж. протоколи
A: Membership of Parliament: see Minutes
Rationale: Bulgarian sentence is converted into english sentence.
Q: Ясно е, ... | Clearly, it would have been a disaster if the Commission's original proposal had been adopted, and not only for Denmark. | task271_europarl_translation | NIv2 | fs_opt | 9 | train |
Detailed Instructions: In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Problem:Освобождаване от отговорност във връзка с изпълнението на бюджета на Европейската агенция по лекарствата за финансовата 2006 г. (
Solution: | 2006 discharge: European Medicines Agency ( | task271_europarl_translation | NIv2 | zs_opt | 8 | train |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Example input: Състав на Парламента: вж. протоколи
Example output: Membership of Parliament: see Minutes
Example explanation: Bulgarian sentence is converted into english sentenc... | 18. | task271_europarl_translation | NIv2 | fs_opt | 3 | train |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
През осем поредни години обемът на газа, произвеждан от Газпром, се задържа на едно и също равнище. | For eight consecutive years, gas production by Gazprom has been stagnating at the same level. | task271_europarl_translation | NIv2 | zs_opt | 0 | train |
Q: In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Западните Балкани като регион са ключов и ценен партньор за Европейския съюз.
A: | The Western Balkans, as a region, is a key and valuable partner for the EU. | task271_europarl_translation | NIv2 | zs_opt | 7 | train |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Q: (Posiedzenie zostało zamknięte o godz. 23.00)
A: (The sitting was closed at 11 p.m.)
****
Q: По онова време мнозина - както в политическата, така и в академичната сфера - кри... | Resolution on Burma
****
| task271_europarl_translation | NIv2 | fs_opt | 4 | train |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Q: Повторното установяване на финансова и икономическа стабилност в световен мащаб предполага задълбочена реформа на финансовата система и премахване на големите дисбаланси в микс... | The re-establishment of stability in the financial and the real economy on a world scale implies a profound reform of the financial system and the elimination of the major imbalances in the mix of global consumption and global saving. | task271_europarl_translation | NIv2 | zs_opt | 4 | train |
Definition: In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Input: Гжа Mukoko в момента е задържана в затвор с максимална сигурност при строг тъмничен режим и нейното бъдеще, както и това на толкова много други участници в камп... | Ms Mukoko is currently being held in solitary confinement at the maximum security prison, and her future, like that of so many campaigners, aid workers and ordinary citizens before her, remains in jeopardy at the hands of the Mugabe regime. | task271_europarl_translation | NIv2 | zs_opt | 2 | test |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
[Q]: Може би трябва да си зададем важните въпроси.
[A]: It may be that fundamental questions need to be asked.
[Q]: член на Комисията. - (EN) Гжо Председател, наистина оценявам... | Approval by the Council of Parliament's positions adopted at first reading (Rule 66): see Minutes
| task271_europarl_translation | NIv2 | fs_opt | 5 | validation |
Given the task definition and input, reply with output. In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and shoul... | sermon | task401_numeric_fused_head_reference | NIv2 | zs_opt | 5 | train |
Detailed Instructions: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
See on... | answer | task401_numeric_fused_head_reference | 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 will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the ... | Friend | task401_numeric_fused_head_reference | NIv2 | zs_opt | 1 | train |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Let me give you an example: ... | sex | task401_numeric_fused_head_reference | NIv2 | fs_opt | 8 | train |
Instructions: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Input: Wizard: ... | Androids | task401_numeric_fused_head_reference | NIv2 | zs_opt | 3 | train |
Detailed Instructions: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Proble... | things | task401_numeric_fused_head_reference | NIv2 | zs_opt | 8 | train |
Teacher:In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Teacher: Now, underst... | beasts | task401_numeric_fused_head_reference | NIv2 | zs_opt | 6 | train |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Q: Alan Milliken: You come i... | man | task401_numeric_fused_head_reference | NIv2 | zs_opt | 4 | train |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Example input: Jess Mastrian... | picture | task401_numeric_fused_head_reference | NIv2 | fs_opt | 3 | test |
Detailed Instructions: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Proble... | days | task401_numeric_fused_head_reference | NIv2 | zs_opt | 8 | validation |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not p... | not plausible | task391_causal_relationship | NIv2 | zs_opt | 1 | train |
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
[EX Q]: The police aimed their weapons at the fugitive, so causin... | not plausible
| task391_causal_relationship | NIv2 | fs_opt | 6 | train |
Instructions: In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
Input: The girl found the missing puzzle piece, so I... | plausible | task391_causal_relationship | NIv2 | zs_opt | 3 | train |
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
Example Input: The motorcyclist twisted the throttle, so I was ab... | not plausible
| task391_causal_relationship | NIv2 | fs_opt | 3 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not p... | not plausible | task391_causal_relationship | NIv2 | fs_opt | 1 | train |
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
Example input: The woman went to the bank, so pigs can fly.
Examp... | not plausible | task391_causal_relationship | NIv2 | fs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not p... | not plausible | task391_causal_relationship | NIv2 | zs_opt | 1 | train |
Definition: In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
Input: The patient was dehydrated, so she had a bottle... | plausible | task391_causal_relationship | NIv2 | zs_opt | 2 | train |
Instructions: In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
Input: I held the door for the woman entering behind... | not plausible | task391_causal_relationship | NIv2 | zs_opt | 3 | test |
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
Q: The group overlooked the woman's faux pas, so I knew I was in ... | not plausible
****
| task391_causal_relationship | NIv2 | fs_opt | 4 | validation |
You will be given a definition of a task first, then some input of the task.
Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
He is revered in Uzbekistan too, which he had visited.
Output: | वे उज्बेकिस्तान में भी पूजनीय हैं, जहां, उन्होनें, यात्रा की थी | task1654_mkb_translation | NIv2 | zs_opt | 1 | train |
Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
Q: Today, Lakshadweep is contributing significantly in Indias progress.
A: | आज, लक्षद्वीप भारत की प्रगति में, अपना महत्वपूर्ण योगदान दे रहा है | task1654_mkb_translation | NIv2 | zs_opt | 4 | train |
Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
Example input: My dear countrymen, Namaskar.
Example output: मेरे प्यारे देशवासियो, नमस्कार
Example explanation: The generated output has the same meaning as the given... | उन्होंने, सेवा को हमेशा सर्वोपरि रखा | task1654_mkb_translation | NIv2 | fs_opt | 3 | train |
Part 1. Definition
Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
Part 2. Example
My dear countrymen, Namaskar.
Answer: मेरे प्यारे देशवासियो, नमस्कार
Explanation: The generated output has the same meaning as the gi... | मेरे लिये सब कुछ है और वो सही अर्थ में भारत की लक्ष्मी है | task1654_mkb_translation | NIv2 | fs_opt | 7 | train |
Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
Let me give you an example: My dear countrymen, Namaskar.
The answer to this example can be: मेरे प्यारे देशवासियो, नमस्कार
Here is why: The generated output has the s... | सरदार वल्लभभाई पटेल के प्रति उनके ह्रदय में जो आस्था है, श्रद्धा है, उसको, प्रकट किया और अब तो वहा actus Garden, butterly Garden, Jungle Saari, hildren Nutrition Park, एकता Nursery, ऐसे अनेक आकर्षण के केंद्र लगातार विकसित होते चले जा रहे हैं और इससे स्थानीय अर्थव्यवस्था को भी बढ़ावा मिल रहा है और लोगों को रोज़गार के नए... | task1654_mkb_translation | NIv2 | fs_opt | 8 | train |
Given the task definition and input, reply with output. Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
And these hosts are being professionally trained in the technique of running a home stay.
| ome stay acilities उपलब्ध कराने वाले लोगों को proessional training भी दी जा रही है | task1654_mkb_translation | NIv2 | zs_opt | 5 | train |
Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
Ex Input:
Guru Nank Dev ji firmly believed that any service done selflessly was beyond evaluation.
Ex Output:
गुरुनानकदेव जी मानते थे कि निस्वार्थ भाव से किए गए सेवा क... | लक्षद्वीप जैसी छोटी जगह के लिए भी उन्होंने महत्वपूर्ण भूमिका निभाई थी
| task1654_mkb_translation | NIv2 | fs_opt | 1 | train |
Detailed Instructions: Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
Problem:There in the Golden Temple itself, they undertook a holy Darshan, commemorating the 550th Prakash Parv of Guru Nanak Devji.
Solution: | वहां उन्होंने अमृतसर के स्वर्ण मंदिर के दर्शन किये और ये सब गुरुनानक देव जी के 550वें प्रकाशपर्व के निमित्त हुआ था | task1654_mkb_translation | 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.
Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
My dear countrymen, Namaskar.
Solution: मेरे प... | कृतज्ञता प्रकट करता हू | task1654_mkb_translation | NIv2 | fs_opt | 0 | test |
Detailed Instructions: Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
See one example below:
Problem: My dear countrymen, Namaskar.
Solution: मेरे प्यारे देशवासियो, नमस्कार
Explanation: The generated output has the ... | गुरुनानक देव जी का प्रभाव भारत में ही नहीं बल्कि पूरे विश्व मे है | task1654_mkb_translation | NIv2 | fs_opt | 4 | validation |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Problem:Pozycja na górze znaczy, że cieszysz się wysokim dochodem na emeryturze.
Solution: | Se está na cima quere dicir que estás gozando dunha grande renta na xubilación. | task1261_ted_translation_pl_gl | NIv2 | zs_opt | 8 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Ex Input:
Wpasowuje się w środowisko. Jest środowiskiem.
Ex Output:
Adáptase ao medio. Forma parte del.
Ex Input:
Konflikt miał też swoje podłoże etniczne, jak to często zdarza się w Afryce.
Ex Output:
Este conflito era... | Así que a próxima vez que vaian de cea, poden procurar acadar ese punto de bebida 'neutral' para a neuroxénese.
| task1261_ted_translation_pl_gl | NIv2 | fs_opt | 1 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Example: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Example solution: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Example explanation: The... | Solution: Non te limites a darme un exemplo. | task1261_ted_translation_pl_gl | NIv2 | fs_opt | 5 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
One example: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Solution is here: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Explanation: The Pol... | Ela mandoume isto, que é graciosísimo. | task1261_ted_translation_pl_gl | NIv2 | fs_opt | 6 | train |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Szał Nathaniela przemienił się w zrozumienie, spokojną ciekawość i wdzięk.
A: | E a furia maníaca de Nathaniel foi transformada en comprensión, unha tranquila curiosidade e un estado de graza. | task1261_ted_translation_pl_gl | NIv2 | zs_opt | 7 | train |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Nasza szkoła dostała w tamtym okresie rządowy grant, i zdobyła niesamowity komputer, maszynę o nazwie 3DZ, zostawiając tu i ówdzie podręczniki jej... | Nesa época, a escola conseguiu unha bolsa do goberno e mercaron un computador incrible: a máquina de investigación 3DZ. Deixaron á vista os manuais de programación | task1261_ted_translation_pl_gl | NIv2 | zs_opt | 1 | train |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Input: Najprawdopodobniej, powinniśmy je bardzo ostrożnie dostroić, by osiągnąć korzyści bez skutków negatywnych.
Output: | Terías que axustalo todo con moita precisión e coidado para conseguir os beneficios sen ter problemas. | task1261_ted_translation_pl_gl | NIv2 | zs_opt | 3 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Właściwie nie tak dawno temu. | En realidade, | task1261_ted_translation_pl_gl | NIv2 | zs_opt | 0 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
[EX Q]: Spójrz na moją twarz.
[EX A]: Mira a mińa cara.
[EX Q]: Przy jasnych nocach duża ilość światła gwiazd i księżyca przenika do głębokości wody w której żyje kalmar, jako że jest to zaledwie parę stóp głębokości.
[EX ... | Agora conxelamos a acción, 30 minutos, poñemos o tempo no eixo vertical, e abrimos a vista destas marcas de interacción que fomos deixando atrás.
| task1261_ted_translation_pl_gl | NIv2 | fs_opt | 6 | test |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
(Muzyka) Obawiam się, że macie wrażenie, że tak naprawdę wybrałem go, bo jest stary.
(Música) Me temo que pensaredes que o escollín porque é maior.
Poza fizyką zajmuję się też innymi rzeczami.
Ben, ademais da física, estou... | o que a NFB quería non era un vehículo que transportase a unha persoa cega. senón un vehículo no que un persoa cega puidese tomar decisións e conducir.
| task1261_ted_translation_pl_gl | NIv2 | fs_opt | 0 | validation |
In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keepin... | True
| task1589_scifact_classification | NIv2 | fs_opt | 5 | train |
In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keepin... | False | task1589_scifact_classification | NIv2 | zs_opt | 0 | train |
In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keepin... | False | task1589_scifact_classification | NIv2 | zs_opt | 4 | train |
In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keepin... | False
| task1589_scifact_classification | NIv2 | fs_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 label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (... | True | task1589_scifact_classification | NIv2 | zs_opt | 5 | train |
In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keepin... | False
| task1589_scifact_classification | NIv2 | fs_opt | 1 | train |
In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keepin... | False | task1589_scifact_classification | NIv2 | zs_opt | 4 | train |
TASK DEFINITION: In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure... | False
| task1589_scifact_classification | NIv2 | fs_opt | 8 | train |
In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keepin... | True | task1589_scifact_classification | NIv2 | fs_opt | 8 | test |
Teacher:In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key t... | True | task1589_scifact_classification | NIv2 | zs_opt | 6 | validation |
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 will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on you... | C | task1145_xcsr_jap_commonsense_mc_classification | NIv2 | fs_opt | 0 | train |
In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Ex Input:
Question: 彼は夕食を作ると言っていたが、その前に何をする必要があったのか？
Options: A お腹が空いた B 台所を買う C 食い物を買う D 食う ... | C
| task1145_xcsr_jap_commonsense_mc_classification | NIv2 | fs_opt | 1 | train |
In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
[Q]: Question: ビリーは長期休暇を取るつもりでしたが、その前に食事をしていました。 彼はどこで食事をしたのでしょうか？
Options: A スペースシャトル B スーパー... | A
| task1145_xcsr_jap_commonsense_mc_classification | NIv2 | fs_opt | 5 | train |
In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Input: Consider Input: Question: 自分が他人にコミュニケーションをとるようになったら、どんな反応が返ってくるのか？
Options: A エンゲージメント... | Output: B
| task1145_xcsr_jap_commonsense_mc_classification | NIv2 | fs_opt | 2 | train |
In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Example Input: Question: 友達に会うとき、最初は一般的に何をしますか？
Options: A 握手 B 抱きしめる C 笑みを浮かべる D 珈琲を飲む E 挨拶を... | B
| task1145_xcsr_jap_commonsense_mc_classification | NIv2 | fs_opt | 3 | train |
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: 光が見えない場所は？
Options: A 屋根裏 B 冷蔵室 C ひなた D 机 E 宇宙
A: | A | task1145_xcsr_jap_commonsense_mc_classification | NIv2 | zs_opt | 9 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: カーリングアイロ... | B | task1145_xcsr_jap_commonsense_mc_classification | NIv2 | zs_opt | 1 | train |
Teacher:In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Teacher: Now, understand the problem? Solve this instance: Question: ダニーは封印された何の中から古いフィル... | A | task1145_xcsr_jap_commonsense_mc_classification | NIv2 | zs_opt | 6 | train |
In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
[EX Q]: Question: 管理人は講堂の垂木に高く登らなければならなかった、彼はステージの何を交換していた？
Options: A 灯り B シアター C 大学構内 D 監督 ... | C
| task1145_xcsr_jap_commonsense_mc_classification | NIv2 | fs_opt | 6 | test |
In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Ex Input:
Question: 接客上手になるために必要なサーバーとは？
Options: A しょうぎょうてき B 礼儀正しい C 儲ける D 運転免許証 E 笑みを浮かべる ... | A
| task1145_xcsr_jap_commonsense_mc_classification | NIv2 | fs_opt | 1 | validation |
Detailed Instructions: In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Q: Passage: Sandra moved to the ha... | Where is Mary? | task082_babi_t1_single_supporting_fact_question_generation | NIv2 | zs_opt | 9 | train |
In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
One example: Passage: Mary moved to the bathroom. John we... | Where is Mary? | task082_babi_t1_single_supporting_fact_question_generation | NIv2 | fs_opt | 6 | train |
In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Example: Passage: Mary moved to the bathroom. John went t... | Solution: Where is Mary? | task082_babi_t1_single_supporting_fact_question_generation | NIv2 | fs_opt | 5 | train |
Detailed Instructions: In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Problem:Passage: Daniel journeyed ... | Where is John? | task082_babi_t1_single_supporting_fact_question_generation | NIv2 | zs_opt | 8 | train |
In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Example Input: Passage: Sandra travelled to the bathroom... | Where is John?
| task082_babi_t1_single_supporting_fact_question_generation | NIv2 | fs_opt | 3 | train |
Instructions: In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Input: Passage: Mary journeyed to the hallw... | Where is Mary? | task082_babi_t1_single_supporting_fact_question_generation | NIv2 | zs_opt | 3 | train |
Definition: In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Input: Passage: Sandra travelled to the hallw... | Where is Mary? | task082_babi_t1_single_supporting_fact_question_generation | NIv2 | zs_opt | 2 | train |
Detailed Instructions: In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Q: Passage: Mary travelled to the ... | Where is Mary? | task082_babi_t1_single_supporting_fact_question_generation | NIv2 | zs_opt | 9 | train |
Given the task definition and input, reply with output. In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
... | Where is Mary? | task082_babi_t1_single_supporting_fact_question_generation | NIv2 | zs_opt | 5 | test |
Detailed Instructions: In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Q: Passage: Daniel journeyed to th... | Where is Mary? | task082_babi_t1_single_supporting_fact_question_generation | NIv2 | zs_opt | 9 | validation |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
[EX Q]: The man in red shirt is walking in the water pulling the group of tubes. The man stopped w... | D
| task1389_hellaswag_completion | 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.
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A"... | A | task1389_hellaswag_completion | NIv2 | fs_opt | 0 | train |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
[header] How to make makeup last all day [title] Wash your face. [step] Washing away dirt, sebum a... | C | task1389_hellaswag_completion | NIv2 | zs_opt | 0 | train |
Teacher:In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Teacher: Now, understand the problem? Solve this instance: [header] How to make biscuits fr... | B | task1389_hellaswag_completion | NIv2 | zs_opt | 6 | train |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
People are standing around a christmas tree. They put lights onto the christmas tree. they <sep> (... | C
| task1389_hellaswag_completion | NIv2 | fs_opt | 0 | train |
Teacher: In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Teacher: Now, understand the problem? If you are still confused, see the following example... | C | task1389_hellaswag_completion | NIv2 | fs_opt | 2 | train |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Example: [header] How to create a christmas tree forest [title] Consider the type of tree you want ... | Solution: B | task1389_hellaswag_completion | NIv2 | fs_opt | 5 | train |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
[header] How to clean belly button lint [title] Take a shower. [step] Before cleaning your belly b... | B | task1389_hellaswag_completion | NIv2 | zs_opt | 0 | train |
TASK DEFINITION: In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
PROBLEM: Man is unning wearing stilts in a skaet park. another man <sep> (A) is in... | C
| task1389_hellaswag_completion | NIv2 | fs_opt | 8 | test |
Part 1. Definition
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Part 2. Example
[header] How to create a christmas tree forest [title] Consider ... | D | task1389_hellaswag_completion | NIv2 | fs_opt | 7 | validation |
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