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You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected s... | 3 | task202_mnli_contradiction_classification | NIv2 | zs_opt | 1 | train |
Teacher: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Teacher: Now, understand the problem? If you are still conf... | 2 | task202_mnli_contradiction_classification | NIv2 | fs_opt | 2 | train |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Statement: To obtain this diploma during your holiday, you can take... | 2 | task202_mnli_contradiction_classification | NIv2 | zs_opt | 0 | train |
Detailed Instructions: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Q: Statement: Court of Appeals, and how it wa... | 3 | task202_mnli_contradiction_classification | NIv2 | zs_opt | 9 | train |
Teacher:In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Teacher: Now, understand the problem? Solve this instance: S... | 2 | task202_mnli_contradiction_classification | NIv2 | zs_opt | 6 | train |
Instructions: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Input: Statement: A real liar wouldn't tell you that h... | 3 | task202_mnli_contradiction_classification | NIv2 | zs_opt | 3 | train |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
--------
Question: Statement: In some cases, it may be necessary to ... | 3
| task202_mnli_contradiction_classification | NIv2 | fs_opt | 7 | train |
Teacher: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Teacher: Now, understand the problem? If you are still conf... | 3 | task202_mnli_contradiction_classification | NIv2 | fs_opt | 2 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected s... | 2 | task202_mnli_contradiction_classification | NIv2 | zs_opt | 1 | test |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
[EX Q]: Statement: that's right that's right they could they can ma... | 1
| task202_mnli_contradiction_classification | NIv2 | fs_opt | 6 | validation |
Instructions: In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Der 4-Wochen-Abgewöhn-Plan... . Wir haben bereits das Kochbuch und das... | NEG | task479_cls_german_books_classification | NIv2 | zs_opt | 3 | train |
Teacher:In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? Solve this instance: Der bisher schwächste Te... | NEG | task479_cls_german_books_classification | NIv2 | zs_opt | 6 | train |
In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Let me give you an example: Effektiv und mit viel Spaß lernen . Ich habe mir dieses Buch z... | POS | task479_cls_german_books_classification | NIv2 | fs_opt | 8 | train |
In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example: Effektiv und mit viel Spaß lernen . Ich habe mir dieses Buch zu Weihnachten gewüns... | Solution: POS | task479_cls_german_books_classification | 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 books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Unerträgliche... | NEG | task479_cls_german_books_classification | NIv2 | zs_opt | 1 | train |
Teacher:In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? Solve this instance: Wunderbar!!! . Ich lese ... | POS | task479_cls_german_books_classification | NIv2 | zs_opt | 6 | train |
Teacher:In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? Solve this instance: Ordentlicher deutscher K... | POS | task479_cls_german_books_classification | NIv2 | zs_opt | 6 | train |
Q: In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Muß ich mir wirklich nicht antun . Schon am Anfang des Buches war ich völig geschockt üb... | NEG | task479_cls_german_books_classification | NIv2 | zs_opt | 7 | train |
Teacher:In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? Solve this instance: Einfach Genial . Ich bin... | POS | task479_cls_german_books_classification | NIv2 | zs_opt | 6 | test |
In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: Eine ganz neue Sicht und ein gewagter Schluss . Das ist ein Thriller, ein Kriminalroman ... | POS | task479_cls_german_books_classification | NIv2 | zs_opt | 4 | validation |
Teacher: You are given an unfinished English sentence, and you need to predict the rest of it.
Teacher: Now, understand the problem? If you are still confused, see the following example:
chapter one
Solution: missus rachel lynde is surprised missus rachel lynde lived just where the avonlea main road dipped down into a ... | hollow by the brook was greened over by a tangle of vines here sat marilla cuthbert when she sat at all always slightly distrustful of sunshine | task964_librispeech_asr_text_auto_completion | NIv2 | fs_opt | 2 | train |
You are given an unfinished English sentence, and you need to predict the rest of it.
One example: chapter one
Solution is here: missus rachel lynde is surprised missus rachel lynde lived just where the avonlea main road dipped down into a little hollow fringed with alders and ladies eardrops and traversed by a brook
E... | of her but missus rachel was almost forced to suppose it are you in earnest marilla she demanded when voice returned to her yes of course | task964_librispeech_asr_text_auto_completion | NIv2 | fs_opt | 6 | train |
You are given an unfinished English sentence, and you need to predict the rest of it.
Q: for in the tacit relations which maintain the bond of family union the mother to maintain her ascendancy over her daughter must never fail to be a model of wisdom and a type of
A: perfection now
****
Q: missus alexander spencer w... | was because he couldn't sell it
****
| task964_librispeech_asr_text_auto_completion | NIv2 | fs_opt | 4 | train |
You are given an unfinished English sentence, and you need to predict the rest of it.
--------
Question: and a full soft brown beard which he had worn ever since he was twenty in fact he had looked at twenty very much as he
Answer: looked at sixty lacking a little of the grayness when he reached bright river there was... | the five thirty train tonight
| task964_librispeech_asr_text_auto_completion | NIv2 | fs_opt | 7 | train |
Detailed Instructions: You are given an unfinished English sentence, and you need to predict the rest of it.
Problem:helped run the sunday school and was the strongest prop of the church aid society and foreign missions auxiliary yet with all this missus rachel found abundant
Solution: | time to sit for hours at her kitchen window knitting cotton warp quilts she had knitted sixteen of them | task964_librispeech_asr_text_auto_completion | NIv2 | zs_opt | 8 | train |
You are given an unfinished English sentence, and you need to predict the rest of it.
Example input: chapter one
Example output: missus rachel lynde is surprised missus rachel lynde lived just where the avonlea main road dipped down into a little hollow fringed with alders and ladies eardrops and traversed by a brook
... | all i know about it and i haven't got any more orphans concealed hereabouts | task964_librispeech_asr_text_auto_completion | NIv2 | fs_opt | 3 | train |
You are given an unfinished English sentence, and you need to predict the rest of it.
Example: chapter one
Example solution: missus rachel lynde is surprised missus rachel lynde lived just where the avonlea main road dipped down into a little hollow fringed with alders and ladies eardrops and traversed by a brook
Examp... | Solution: clear sweet voice i'm very glad to see you i was beginning to be afraid you weren't coming for me | task964_librispeech_asr_text_auto_completion | NIv2 | fs_opt | 5 | train |
Teacher:You are given an unfinished English sentence, and you need to predict the rest of it.
Teacher: Now, understand the problem? Solve this instance: and a full soft brown beard which he had worn ever since he was twenty in fact he had looked at twenty very much as he
Student: | looked at sixty lacking a little of the grayness when he reached bright river there was no sign of any train | task964_librispeech_asr_text_auto_completion | NIv2 | zs_opt | 6 | train |
You are given an unfinished English sentence, and you need to predict the rest of it.
Ex Input:
how are all your folks something that for lack of any other name might
Ex Output:
be called friendship existed and always had existed between marilla cuthbert and missus rachel in spite of or perhaps because of their dissi... | was turned towards heaven
| task964_librispeech_asr_text_auto_completion | NIv2 | fs_opt | 1 | test |
You are given an unfinished English sentence, and you need to predict the rest of it.
Example: chapter one
Example solution: missus rachel lynde is surprised missus rachel lynde lived just where the avonlea main road dipped down into a little hollow fringed with alders and ladies eardrops and traversed by a brook
Examp... | Solution: one respect they seldom return home after twelve o'clock | task964_librispeech_asr_text_auto_completion | NIv2 | fs_opt | 5 | validation |
Definition: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Input: Un tissu d'âneries incohérentes, des scènes d'action complètement illisibles et déjà vu dix mille fois, aucune tension, rien à se raccrocher, on s'... | 0 | task1591_allocine_classification | NIv2 | zs_opt | 2 | train |
You will be given a definition of a task first, then some input of the task.
You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Un film très lent , plutôt hermétique. C'est une oeuvre esthétique sur un rythme ralenti... | 0 | task1591_allocine_classification | NIv2 | zs_opt | 1 | train |
Detailed Instructions: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Q: Film culte, classique parmi les classiques.Enfin un conte de Noël bien adapté aux tout-petits sans les prendre pour des attardés. Le Père No... | 1 | task1591_allocine_classification | NIv2 | zs_opt | 9 | train |
Detailed Instructions: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Q: Drame sur la société, le pouvoirs, l argent dans un huit clos a suspens, avec des acteurs charismatique.
A: | 1 | task1591_allocine_classification | NIv2 | zs_opt | 9 | train |
Detailed Instructions: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Q: je rejoins en tout point fxsauvage le film est drôle sans prise de tête,Virginie Efira s'affirme de film en film en plus elle est très belle... | 1 | task1591_allocine_classification | NIv2 | zs_opt | 9 | train |
You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
[Q]: C'est uniquement dans les œuvres japonaises qu'on retrouve des scénarios si alambiqués et des belles amitiés qui se créent comme celle d'Hana et Alice. D'ailleu... | 1
| task1591_allocine_classification | NIv2 | fs_opt | 5 | train |
You will be given a definition of a task first, then some input of the task.
You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
La seule petite innovation scénaristique dans ce quatrième épisode de la momie est son h... | 0 | task1591_allocine_classification | NIv2 | zs_opt | 1 | train |
Q: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Pour le plaisir de Faye, c'est dommage que l'enchaînement des séquences soit bâclé et par moment on doit faire un effort et rajouter ce qui manque. Le scenario ava... | 0 | task1591_allocine_classification | NIv2 | zs_opt | 7 | train |
TASK DEFINITION: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
PROBLEM: Je suis tombé amoureux de ce film. parfois un petit film vous touche en voila un.
SOLUTION: 1
PROBLEM: Vraiment nul. A éviter à tout prix.... | 0
| task1591_allocine_classification | NIv2 | fs_opt | 8 | 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 movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Si vous cherchez du cinéma abrutissant à tou... | 1 | task1591_allocine_classification | NIv2 | fs_opt | 0 | validation |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
[Q]: 2017 ਬੈਚ ਦੇ ਆਈਪੀਐੱਸ ਪ੍ਰੋਬੇਸ਼ਨਰਾਂ ਨੇ ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨਾਲ ਮੁਲਾਕਾਤ ਕੀਤੀ
[A]: নয়াদিল্লি, ০৮ অক্টোবর, ২০১৮
[Q]: ਡਾਇਰੈਕਟਰੀ ਅੰਤਰ-ਰਾਸ਼ਟਰੀ ਵਪਾਰ ਸਲਾਹਕਾਰ ਨਵੀਂ... | প্রবীণ সাংবাদিক ও রাজ্যসভার প্রাক্তন সদস্য কুলদীপ নায়ারের মৃত্যুতে প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদী শোক প্রকাশ করেছেন।
| task1026_pib_translation_punjabi_bengali | NIv2 | fs_opt | 5 | train |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: ਪ੍ਰਵਾਸੀ ਭਾਰਤੀਆਂ ਵੱਲੋਂ ਡੈਰੀਵੇਟਿਵਜ(derivatives)ਅਤੇ ਕੁਝ ਖਾਸ ਸਕਿਉਰਟੀਜ਼ ਟ੍ਰਾਂਸਫਰ ਕਰਨ`ਤੇ ਪੂੰਜੀ ਲਾਭ ਟੈਕਸ ... | আজ সারা বিশ্বে ২১ জুন তারিখে যে উৎসাহ-উদ্দীপনার সঙ্গে কোটি কোটি মানুষ এই ‘আন্তর্জাতিক যোগ দিবস’ পালন করেন, তা আপনাদের ও আমাদের জন্য গর্বের বিষয় হয়ে উঠেছে। | task1026_pib_translation_punjabi_bengali | NIv2 | fs_opt | 4 | train |
Teacher:A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਊਰਜਾ, ਕਨੈਕਟੀਵਿਟੀ ਅਤੇ ਸਿਹਤ ਖੇਤਰਾਂ ਨਾਲ ਸਬੰਧਤ ਵਿਕਾਸ ਪ੍ਰੋਜੈਕਟਾਂ ਦੀ ਇੱਕ ਲੜੀ... | প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদী আজ আন্দামান ও নিকোবর দ্বীপপুঞ্জের পোর্ট ব্লেয়ার সফর করেন। | task1026_pib_translation_punjabi_bengali | NIv2 | zs_opt | 6 | train |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Problem:UNCTAD ਵੱਲੋਂ list ਕੀਤੇ ਗਏ 10 FDI destinations ਵਿੱਚ ਮਜ਼ਬੂਤੀ ਨਾਲ ਭਾਰਤ ਦਾ ਨਾਮ ਦਰਜ਼ ਹੈ ।
Solution: | ইউএনসিটিএডি-র তালিকাভুক্ত দশটি প্রত্যক্ষ বিদেশি বিনিয়োগ গন্তব্যের মধ্যে এখন ভারত অন্যতম শক্তিশালী গন্তব্য হয়ে উঠেছে। | task1026_pib_translation_punjabi_bengali | NIv2 | zs_opt | 8 | train |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਪਰਾਕ੍ਰਮ ਪਰਵ ਦਾ ਉਦਘਾਟਨ ਕੀਤਾ, ਕੋਣਾਰਕ ਯੁੱਧ ਸਮਾਰਕ ‘ਤੇ ਸ਼ਹੀਦਾਂ ਨੂੰ ਸ਼ਰਧਾਂਜਲੀ ਦਿੱਤੀ
A: | ১) শিক্ষার্থী-কেন্দ্রিক শিক্ষা ব্যবস্থায় শিক্ষার মানোন্নয়ন – প্রয়োজন মাফিক শিক্ষার জন্য কৃত্রিম মেধার ব্যবহার। | task1026_pib_translation_punjabi_bengali | NIv2 | zs_opt | 4 | train |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: ਪ੍ਰੋਗਰਾਮ ਦੀਆਂ ਕੁਝ ਮੁੱਖ ਵਿਸ਼ੇਸ਼ਤਾਵਾਂ 'ਚ ਸ਼ਾਮਲ ਹਨ :
A: | এই কর্মসূচির উল্লেখযোগ্য কিছু বিষয় হচ্ছে: | task1026_pib_translation_punjabi_bengali | NIv2 | zs_opt | 9 | train |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Ex Input:
ਮੰਤਰੀ ਮੰਡਲ ਨੇ ਕੇਂਦਰੀ ਹਥਿਆਰਬੰਦ ਪੁਲਿਸ ਫੋਰਸਾਂ ਅਤੇ ਅਸਾਮ ਰਾਈਫਲਜ਼ ਦੇ ਮੈਡੀਕਲ ਅਫਸਰਾਂ ਦੀ ਰਿਟਾਇਰਮੈਂਟ ਉਮਰ ਵਿੱਚ ਵਾਧਾ ਕਰਨ ਨੂੰ ਪ੍ਰਵਾਨਗੀ ਦਿੱਤੀ
Ex Output:
স্... | পারস্পরিক স্বার্থ সংশ্লিষ্ট দ্বিপাক্ষিক নানা বিষয়ে উভয় নেতা একযোগে কাজ করার উপর গুরুত্ব আরোপ করেছেন।
| task1026_pib_translation_punjabi_bengali | NIv2 | fs_opt | 1 | train |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example input: ਪ੍ਰਵਾਸੀ ਭਾਰਤੀਆਂ ਵੱਲੋਂ ਡੈਰੀਵੇਟਿਵਜ(derivatives)ਅਤੇ ਕੁਝ ਖਾਸ ਸਕਿਉਰਟੀਜ਼ ਟ੍ਰਾਂਸਫਰ ਕਰਨ`ਤੇ ਪੂੰਜੀ ਲਾਭ ਟੈਕਸ ਤੋਂ ਰਾਹਤ
Example output: পূর্বাভাস ভারত... | ব্যাপ্তি, নমুনা সংগ্রহ এবং ছবি তোলার ক্যামেরার সংখ্যার নিরিখে এই পরিসংখ্যানকে বিশ্বে সর্ববৃহৎ বন্যপ্রাণ সমীক্ষার উদ্যোগ বলে মনে করা হয়। | task1026_pib_translation_punjabi_bengali | NIv2 | fs_opt | 3 | train |
Teacher:A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਕਿਹਾ ਕਿ ਸਾਡੇ ਟਿਕਾਊ ਉੱਚ ਵਿਕਾਸ ਦੇ ਮਾਰਗ ਵਿੱਚ ਸਾਰੇ ਆਲੇ-ਦੁਆਲੇ ਦੇ ਵਿਕਾਸ ਲਈ ਭ... | শ্রী মোদী বলেন, নিরন্তর অগ্রগতির লক্ষ্যে এবং সার্বিক উন্নয়ন প্রক্রিয়ায় ভারত ইজরায়েল’কে এক গুরুত্বপূর্ণ অংশীদার বলেই মনে করে। | task1026_pib_translation_punjabi_bengali | NIv2 | zs_opt | 6 | test |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
[Q]: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਤਮਿਲਨਾਡੂ ਦੇ ਕਾਂਚੀਪੁਰਮ ਵਿਖੇ ਕਈ ਰਾਸ਼ਟਰੀ ਰਾਜਮਾਰਗ ਪ੍ਰੋਜੈਕਟਾਂ ਦੀ ਸ਼ੁਰੂਆਤ ਕੀਤੀ ਜਿਨ੍ਹਾਂ ਵਿੱਚ ਵਿਕਰਾਵੰਦੀ ਤੋਂ ਥੰਜਾਵੁਰ ਤੱਕ ਐੱਨਐੱਚ-45 ਸੀ ਦੀ 4-ਲ... | মুদ্রণালয়ের আধুনিকীকরণের ফলে গোটা দেশের কেন্দ্রীয় সরকারের দফতরগুলোর গুরুত্বপূর্ণ গোপনীয়, জরুরি এবং মাল্টি-কালার মুদ্রণের কাজ করা সম্ভব হবে |
| task1026_pib_translation_punjabi_bengali | NIv2 | fs_opt | 5 | validation |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Q: OtgDMEs, jOgDqn
A: | d, e, g, m, o, s, t | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | NIv2 | zs_opt | 4 | train |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Q: LXItRWhb, RAFZItRWgBpN
A: | a, b, f, g, i, n, p, r, t, w, z | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | NIv2 | zs_opt | 4 | train |
Teacher: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Teacher: Now, understand the problem? If you are still confused, see the following example:
JkbloNUq, nYblowj
Solution: ... | a, e, g, i, n, p, q, t, u, w, y, z | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | NIv2 | fs_opt | 2 | train |
instruction:
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
question:
pAYqibhZhwdWYCygapUCdeXXZIcvRzZ, SDTukSrFJVyhZhwdWYCygapUbBHJK
answer:
a, b, c, d, e, g, h, i, p, q, r, u,... | a, d, e, f, h, i, j, n, p, r, t, u, v, y, z
| task756_find_longert_substring_and_return_all_unique_alphabets_in_it | NIv2 | fs_opt | 9 | train |
Teacher: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Teacher: Now, understand the problem? If you are still confused, see the following example:
JkbloNUq, nYblowj
Solution: ... | b, c, g, h, i, n, p, r, v, z | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | NIv2 | fs_opt | 2 | train |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Let me give you an example: JkbloNUq, nYblowj
The answer to this example can be: b, j, k, l, n, o, q, u
Here is why: Here, 'Jkbl... | a, b, c, e, h, i, j, k, l, m, p, v, x | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | NIv2 | fs_opt | 8 | train |
Definition: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Input: ybGUjCoGSpzdDH, DDXwCoGSphY
Output: | b, c, d, g, h, j, o, p, s, u, y, z | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | NIv2 | zs_opt | 2 | train |
Instructions: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Input: XzsWfqufzZtSZVEzWkXgRkNfkpeOyUxvbRQBI, NIZVEzWkXgRkNfkFPIJkGo
Output: | b, e, f, g, i, k, n, o, p, q, r, s, t, u, v, w, x, y, z | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | NIv2 | zs_opt | 3 | train |
Detailed Instructions: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Q: UKMtjUeXMQuDqTXv, BrxdfNjUeXMQuDTkeOLX
A: | b, d, e, f, j, k, l, m, n, o, q, r, t, u, x | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | NIv2 | zs_opt | 9 | test |
Detailed Instructions: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Q: SCJrlwlNBdXhvVnYI, QnarrlwlNBdEVRyk
A: | b, c, d, h, i, j, l, n, r, s, v, w, x, y | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | NIv2 | zs_opt | 9 | validation |
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty.... | Valid | task149_afs_argument_quality_death_penalty | NIv2 | fs_opt | 9 | train |
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty.... | Output: Valid
| task149_afs_argument_quality_death_penalty | NIv2 | fs_opt | 2 | train |
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty.... | Output: Invalid
| task149_afs_argument_quality_death_penalty | NIv2 | fs_opt | 2 | train |
Given the task definition, example input & output, solve the new input case.
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or... | Invalid | task149_afs_argument_quality_death_penalty | NIv2 | fs_opt | 1 | 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.
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and e... | Valid | task149_afs_argument_quality_death_penalty | NIv2 | fs_opt | 0 | train |
Q: We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penal... | Valid | task149_afs_argument_quality_death_penalty | NIv2 | zs_opt | 7 | train |
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty.... | Valid | task149_afs_argument_quality_death_penalty | NIv2 | zs_opt | 0 | train |
Given the task definition, example input & output, solve the new input case.
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or... | Valid | task149_afs_argument_quality_death_penalty | NIv2 | fs_opt | 1 | train |
Instructions: We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of ... | Valid | task149_afs_argument_quality_death_penalty | NIv2 | zs_opt | 3 | test |
Q: We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penal... | Valid | task149_afs_argument_quality_death_penalty | NIv2 | zs_opt | 7 | validation |
Are "Alice" and "she" the same in this sentence?
Alice looked for her friend Jade in the crowd. Since *she* always has good luck, Alice spotted her quickly. | yes | super_glue_wsc_fixed_1_0_2 | Flan2021 | zs_noopt | 7 | train |
QUESTION: Is "Timmy" the same as "him" in this sentence?
When Tommy dropped his ice cream, Timmy giggled, so father gave *him* a stern look.
ANS: yes
QUESTION: Is "old man" the same as "him" in this sentence?
Babar wonders how he can get new clothing. Luckily, a very rich old man who has always been fond of little elep... | no | super_glue_wsc_fixed_1_0_2 | Flan2021 | fs_noopt | 5 | train |
Problem: The table won't fit through the doorway because *it* is too narrow.
Are "it" and "the doorway" the same?
Answer: yes
Problem: The foxes are getting in at night and attacking the chickens . *They* have gotten very nervous.
Are "They" and "The foxes" the same?
Answer: no
Problem: The pony behaved well, sir, ... | no | super_glue_wsc_fixed_1_0_2 | Flan2021 | fs_noopt | 7 | train |
CONTEXT: Emma did not pass the ball to Janie although *she* saw that she was open.
Multi-choice question: Do "Janie" and "she" have the same meaning?
no
CONTEXT: I asked Dave to get me my sweater from the other side of the yacht . While he was gone, I rested my arm on the rail over there and suddenly *it* gave way.
... | yes | super_glue_wsc_fixed_1_0_2 | Flan2021 | fs_noopt | 9 | train |
Question:
When Tatyana reached the cabin, *her* mother was sleeping. She was careful not to disturb her , undressing and climbing back into her berth.
mother
her
OPTIONS:
- no
- yes
-----
Answer:
yes
Q: Fred and Alice had very warm down coats , but *they* were not enough for the cold in Alaska.
Are "coats" and "they" t... | no | super_glue_wsc_fixed_1_0_2 | Flan2021 | fs_opt | 2 | train |
Choose your answer: Do "A man's life and a horse's life" and "they" point to the same thing in the following sentence?
A man's life and a horse's life are worth more than some foxes' tails ; al least *they* ought to be.
Select from the following.
a). no;
b). yes; | b). | super_glue_wsc_fixed_1_0_2 | Flan2021 | zs_opt | 9 | train |
Context:The firemen arrived after the police because *they* were coming from so far away.
Is "they" the same as "the police"? Possible answers:Choices: [+] no; [+] yes;
Answer: | no | super_glue_wsc_fixed_1_0_2 | Flan2021 | zs_opt | 5 | train |
Question: Given context:After I saw Bill catching flies and pulling off their wings, I boxed his ears. I showed the master the flies, some crushed and some crawling about helpless, and I showed him the wings on the window sill. I never saw him so angry before; but as Bill was still howling and whining, like the coward ... | yes | super_glue_wsc_fixed_1_0_2 | Flan2021 | fs_opt | 2 | train |
Question:
Fred and Alice had very warm down coats , but *they* were not prepared for the cold in Alaska.
Fred and Alice
they
OPTIONS:
- no
- yes
-----
Answer:
yes
Q: The dog chased the cat , which ran up a tree. *It* waited at the top.
Are "the cat" and "It" the same? OPTIONS:
- no
- yes
=======
A: yes
Question: Given ... | no | super_glue_wsc_fixed_1_0_2 | Flan2021 | fs_opt | 4 | test |
Question:
The father carried the sleeping boy in *his* arms
The father
his
OPTIONS:
- no
- yes
-----
Answer:
yes
Question:
Paul tried to call George on the phone, but *he* wasn't successful.
George
he
OPTIONS:
- no
- yes
-----
Answer:
no
Question:
Since it was raining, I carried the newspaper over my backpack to ke... | no | super_glue_wsc_fixed_1_0_2 | Flan2021 | fs_opt | 0 | validation |
Definition: In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into fo... | Profession | task280_stereoset_classification_stereotype_type | NIv2 | zs_opt | 2 | train |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of ... | Gender | task280_stereoset_classification_stereotype_type | NIv2 | fs_opt | 3 | train |
Q: In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types ... | Race | task280_stereoset_classification_stereotype_type | NIv2 | zs_opt | 7 | 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 passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a co... | Race | task280_stereoset_classification_stereotype_type | NIv2 | zs_opt | 1 | train |
Instructions: In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into ... | Race | task280_stereoset_classification_stereotype_type | NIv2 | zs_opt | 3 | train |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of ... | Profession | task280_stereoset_classification_stereotype_type | NIv2 | fs_opt | 6 | train |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of ... | Race | task280_stereoset_classification_stereotype_type | NIv2 | fs_opt | 6 | train |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of ... | Race
****
| task280_stereoset_classification_stereotype_type | NIv2 | fs_opt | 4 | train |
instruction:
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into f... | Profession
| task280_stereoset_classification_stereotype_type | NIv2 | fs_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.
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-... | Profession | task280_stereoset_classification_stereotype_type | NIv2 | fs_opt | 0 | validation |
Please answer the following question: Read the bio below and try to give details on harold i. cammer 's: - death place - known for - caption - death date - birth date - name - nationality - image - birth place - occupation Bio: harold i. cammer -lrb- june 18 , 1909 -- octobe... | - death place is mamaroneck , new york , u.s.- known for is founder , national lawyers guild- caption is cammer n.j. speaking at a rally in atlantic city ,- death date is 21 october 1995- birth date is 18 june 1909- name is harold i. cammer- nationality is american- image is harold i cammer at atlantic city rally.jpg- ... | wiki_bio_comprehension | P3 | zs_noopt | 9 | train |
Answer the following question: Read the bio below and try to give details on ralph goings 's: - imagesize - bgcolour - training - caption - field - birth date - name - movement - nationality - image - birth place Bio: ralph goings -lrb- may 9 , 1928 in corning , californ... | - imagesize is 250px- bgcolour is # 6495ed- training is california college of the arts and crafts- caption is '' oil on canvas example of photorealist ralph goings work ralph 's diner '' -lrb- 1981-1982 -rrb- ,- field is painting- birth date is 9 may 1928- name is ralph goings- movement is photorealism- nationality is ... | wiki_bio_comprehension | P3 | zs_noopt | 5 | train |
Read the bio below and try to give details on frank glaw 's: - birth date - name - nationality - birth place Bio: frank rainer glaw -lrb- born 22 march 1966 in düsseldorf -rrb- is a german herpetologist working at the zoologische staatssammlung münchen . glaw studied biology in cologne from 1987 , ... | - birth date is 22 march 1966- name is frank rainer glaw- nationality is german- birth place is düsseldorf , germany | wiki_bio_comprehension | P3 | zs_noopt | 7 | train |
Read the bio below and try to give details on marian mcloughlin 's: - residence - years active - birth name - birth date - name - birth place - occupation Bio: marian mcloughlin -lrb- born 1953 -rrb- is a british actor best known for her role as marina bonnaire in the `` bbc '' soap ope... | - residence is london- years active is 1977 - present- birth name is marian mcloughlin- birth date is 9 december 1953- name is marian mcloughlin- birth place is london , england , united kingdom- occupation is actress | wiki_bio_comprehension | P3 | zs_noopt | 1 | train |
Read the bio below and try to give details on johan roux 's: - weight - ru nationalpoints - height - birth name - ru nationalyears - ru nationalcaps - ru proclubs - birth date - name - birth place - ru position - ru nationalteam Bio: johannes petrus roux , or johan r... | - weight is 80kg- ru nationalpoints is -lrb- 10 -rrb-- height is 1.8 m- birth name is johannes petrus roux- ru nationalyears is 1994 -- 96- ru nationalcaps is 12- ru proclubs is golden lions- birth date is 25 february 1969- name is johan roux- birth place is pretoria , south africa- ru position is scrum-half- ru nation... | wiki_bio_comprehension | P3 | zs_noopt | 1 | train |
Answer the following question: Read the bio below and try to give details on rossella falk 's: - death place - caption - death date - birth date - name - image - birth place Bio: rossella falk -lrb- 10 november 1926 -- 5 may 2013 -rrb- was an italian actress .
Answer: | - death place is rome , italy- caption is rossella falk in 1957- death date is 5 may 2013- birth date is 10 november 1926- name is rossella falk- image is rossella falk 57.jpg- birth place is rome , italy | wiki_bio_comprehension | P3 | zs_noopt | 5 | train |
Given the question: Read the bio below and try to give details on herald marku 's: - clubs - caps - position - currentclub - years - clubnumber - youthclubs - youthyears - birth date - fullname - name - birth place - goals Bio: herald marku -lrb- born 18 may 1996... | - clubs is partizani tirana partizani tirana- caps is 1 6- position is midfielder- currentclub is tërbuni pukë -lrb- on loan from partizani tirana -rrb-- years is -- 2012 2012 -- 2014- clubnumber is 16- youthclubs is partizani tirana partizani tirana- youthyears is -- 2012 2012 -- 2014- birth date is 18 may 1996- fulln... | wiki_bio_comprehension | P3 | zs_noopt | 6 | train |
Please answer the following question: Read the bio below and try to give details on k. c. nicolaou 's: - residence - known for - fields - workplaces - notable students - birth date - name - image - birth place - alma mater Bio: kyriacos costa nicolaou -lrb- -rrb- is a cyprio... | - residence is houston , united states- known for is total synthesis total synthesis of taxol- fields is chemist- workplaces is rice university- notable students is phil baran- birth date is july 5 , 1946- name is k. c. nicolaou- image is nicilaou.jpg- birth place is karavas , cyprus- alma mater is university college l... | wiki_bio_comprehension | P3 | zs_noopt | 8 | train |
Question: Read the bio below and try to give details on jean mcgarry 's: - notableworks - birth date - name - occupation - birth place - alma mater Bio: jean mcgarry is an author of fiction and a professor at the johns hopkins writing seminars .
Answer: | - notableworks is nowrap -lsb- http://www.amazon.com/stupid-michigan-literary-fiction-awards-ebook/dp/b002k8q3y2/ a bad and stupid girl -rsb- '' '' '' -lsb- http://www.amazon.com/dream-date-stories-hopkins-fiction/dp/0801869374/ dream date -rsb- '' '' -lsb- http://www.amazon.com/gallaghers-travels-johns-hopkins-fiction... | wiki_bio_comprehension | P3 | zs_opt | 4 | test |
Question: Read the bio below and try to give details on thomas sherwin 's: - battles - death date - allegiance - rank - birth date - serviceyears - name - branch - laterwork - image - death place - birth place Bio: thomas sherwin -lrb- july 11 , 1839 -- december 19 ,... | - battles is american civil war- death date is december 19 , 1914- allegiance is union- rank is brevet brigadier general- birth date is july 11 , 1839- serviceyears is 1861 -- 1865- name is thomas sherwin- branch is union army- laterwork is president , new england telephone and telegraph company- image is sherwin , tho... | wiki_bio_comprehension | P3 | zs_opt | 4 | validation |
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