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In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned. | [455, 707, 78, 551, 119, -282, 213, -525, -699, -670, -128, -661, -17, 865, 367, -107, 337, -889] | [707, -282, -525] | Program Execution 1000.json |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10. | [651, 857, -24] | [650, 860, -20] | Program Execution 1001.json |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presented with comma separated numbers inside two brackets. | [8, -45, -82] | [16, 135, 246] | Program Execution 1002.json |
In this task, you need to reverse the order of words in the given sentence. | Sentence: many trucks are being hauled by a train | train a by hauled being are trucks many | Program Execution 1004.json |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5. | Sentence: 'a little league plater looking off to the distance'. Remove all words of length '7' in the given sentence. | a little league plater off to the distance | Program Execution 1005.json |
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5. | Sentence: 'a dog looking out the open car window from the drivers seat of a parked car'. Reverse all words of length '2' in the given sentence. | a dog looking out the open car window from the drivers seat fo a parked car | Program Execution 1006.json |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link]. | Teixeira cycles his way to history ARLINGTON -- Rangers first baseman Mark Teixeira made history Tuesday at Ameriquest Field in Arlington against Cleveland when he became the second player in franchise history to hit for the cycle. | Sports | Text Categorization 1007.json |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage. | passage: A ten-episode first season premiered on Epix on October 16, 2016. On November 17, 2016, Epix renewed Berlin Station for a second season, originally planned to contain ten episodes, which premiered on October 15, 2017 and concluded a nine-episode-season-run on December 3, 2017. On December 6, 2017, Epix renewed the series for a third season that is set to begin production in spring 2018 and premiere sometime in late 2018 or early 2019.
question: is there a season 3 of berlin station? | Yes | Question Answering 1008.json |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb | What is the part-of-speech tag of the word "European" in the following question: What Eastern European country was the 1992 European All-around bronze medalist from ? | JJ | Pos Tagging 1010.json |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False". | Context: Carson was trying to become a good swimmer. Carson "went hard or go home".
Answer: get the drive to be a good swimmer
Question: Why did Carson do this? | True | Question Understanding 1012.json |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output. | Context: Ash was behaving inappropriately at the bar and groped another patron.
Question: What will happen to Ash?
Options: (A) make lots of friends (B) be thrown out of the bar (C) separate ash from others | C | Question Answering 1013.json |
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty. | Passage: Despite signs of ongoing distrust, the remaining difficulties were ostensibly swept away by Tuesday's vote which gave Savimbi the right to regular consultations with the president and members of the government and the right to publish messages in the official press. Several deputies from the ruling MPLA have criticised the "excessive powers" granted to Savimbi although they followed the party's advice to approve the law. Question: What will happen in the future? Events: ['signs', 'distrust', 'remaining', 'difficulties', 'swept', 'vote', 'gave', 'consultations', 'publish', 'ruling', 'criticised', 'granted', 'followed', 'approve'] | publish, consultations | Question Answering 1018.json |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible. | سوشی خوراکی برنجی در آشپزی ژاپنی است و آمیزهای است از برنج پختهٔ ژاپنی با چاشنی سرکه، چندین گونه خوراک دریایی (بیشتر خام)، سبزیجات و تخم مرغ که به صورت سرد خورده میشود. در آغاز، سوشی تنها روشی برای نگهداری ماهی بود که در آسیای شرقی رواج داشت ولی پس از راه یافتن به چین، وارد فرهنگ غذایی کشور ژاپن شد. سوشی گونههای فراوانی دارد ولی امروزه در نزد عموم مردم، نام سوشی اشارهکننده به تنها یکی از گونههای این خانوادهٔ غذایی، سوشی ادو است. در این گونه از سوشی بر روی یک قطعهٔ برنجی بیضیمانند، برش نازکی از ماهی گذاشته میشود. ماهی، توفو (فراوردهٔ سویا)، خوراک دریایی، تخممرغ و دیگر خوراکیهای بکار رفته در پُر کردن سوشی، همگی سرشار از پروتئین هستند. علاوه بر آن میتوان ویتامین و مواد معدنی را نیز در خوراکهای دریایی و سبزیجات سوشی پیدا کرد. سوشی بیشتر همراه با چاشنی سس سویا خورده میشود. بهترین روش برای ضدعفونی مواد غذایی پختن مواد است اما این روش در سوشی بکار برده نمیشود.
Question: سوشی از نظر ارزش غذایی چه گونه است؟ | سرشار از پروتئین هستند. علاوه بر آن میتوان ویتامین و مواد معدنی را نیز در خوراکهای دریایی و سبزیجات سوشی پیدا کرد | Question Answering 1023.json |
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False" | هری گوردون فرانکفورت (زادهٔ ۲۹ مه ۱۹۲۹) فیلسوفِ آمریکایی است. حوزههایِ اصلیِ فعالیتِ او، مربوط به فلسفهٔ ذهن، فلسفهٔ اخلاق، نظریهٔ کنش و خردگرایی قرنِ ۱۷م است. مقالهٔ ۱۹۸۶ او با نامِ در باب مزخرفگویی، پژوهشی فلسفی دربارهٔ مفهومِ «حرفِ مزخرف» است که چاپِ آن به صورتِ کتاب در سالِ ۲۰۰۵ میلادی به شکلِ عجیبی پرفروش شد و باعثِ شهرتِ رسانهایِ او شد. در سالِ ۲۰۰۶، او کتابی مرتبط با نامِ «دربارهٔ حقیقت» منتشر کرد که موضوعِ آن از بین رفتنِ بهایِ حقیقت در نزدِ جامعه بود. اما در بینِ فیلسوفان، شهرتِ فرانفکورت بیش از همه به خاطرِ تفسیر او از اندیشههایِ دکارت و همچنین دفاعِ او از اختیار و ارادهٔ آزاد است
Question: هری فرانکفورت در کدام کشور متولد شده؟ | True | Answerability Classification 1024.json |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line. | David Spinozza plays the acoustic guitar in the song , Liberty DeVitto plays the drums and Robert Freedman the horn and string orchestration .
David David Spinozza plays the acoustic guitar in the song , Liberty DeVitto plays the drums and Robert Freedman plays the horn and string orchestration . | Paraphrase | Text Matching 1028.json |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "False" if the explanation disproves the statement. The statement and explanation are separated by a newline character. | Vitamin C does not occur naturally, and must be synthesized in a lab.
This is clearly untrue, as it's necessary for most animals to survive. | False | Fact Verification 1031.json |
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | Ma voiture en panne vous donnerait envie de vider l'appartement. | Ma voiture en panne vous ferait jurer de prendre le bus., Ma voiture en panne vous ferait vouloir blesser le pneu., Ma panne de voiture vous ferait prendre le bus., Ma voiture en panne vous ferait vouloir haïr la nation. | Sentence Perturbation 1034.json |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | आप एक नौकरी खरीदने के लिए चाहते हैं तो आप एक मॉडल के लिए आदेश करना चाहिए. | यदि आप एक शर्ट खरीदने की याद आती है तो आप एक गैरेज के लिए करना चाहिए., आप एक शर्ट खरीदने के लिए चाहते हैं तो आप एक दुकान के लिए जाना चाहिए।, आप एक कोट खरीदने के लिए करना चाहते हैं तो आप एक कवर में तैर चाहिए., अगर आप एक कार्ड कील करने की कोशिश करते हैं तो आपको एक दुकान में जाना चाहिए. | Sentence Perturbation 1035.json |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | Se si desidera hackerare un contratto allora si dovrebbe avere una penna. | Se volete firmare una protesta allora dovreste avere una penna., Se si decide di firmare una matita allora si dovrebbe avere una penna., Se si desidera spendere un contratto allora si dovrebbe avere una penna., Se si desidera firmare un contratto allora si dovrebbe avere una penna. | Sentence Perturbation 1036.json |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | Als je rijst wilt overslaan dan moet je meer water drinken. | Als u dreigt om gewicht te verliezen dan moet u meer water drinken., Als u wilt afvallen dan moet u meer water drinken., Als u wilt gewicht frituren dan moet u meer water drinken., Als u lijdt om gewicht te verliezen dan moet u meer water drinken. | Sentence Perturbation 1037.json |
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | Место, где можно бросать еду. | Место, где можно поесть., Место, где можно жарить еду., Место, где можно купить еду., Место, где можно постить еду. | Sentence Perturbation 1038.json |
Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | Tổng thống có thể thống trị cả nước. | Tổng thống có thể thành lập lực lượng., Tổng thống có thể trao đổi tiền mặt., Tổng thống có thể thỏa thuận việc giải cứu., Tổng thống có thể phụ trách ban. | Sentence Perturbation 1039.json |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | 帽子在你的手表链上 | 运动在你妈妈的日常生活中进行。, 帽子顶在你头上, 帽子会出现在你的乐队名单上, 帽子长在你头上 | Sentence Perturbation 1040.json |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | A switch can course through a ribbon . | A patient can course through a meditation ., A river can course through a valley., A compass can course through a paragraph ., A candidate can course through a lifetime . | Sentence Perturbation 1041.json |
Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | سلاح يستخدم للقتال. | تُستخدم دراجة نارية للقتال., « إن » مخففة من الثقيلة واسمها محذوف ، أي إنه « صُفِّر » أي الولد « للمقاتلين »., تُستخدم طائرة هليكوبتر للقتال., يُقْبَلُ سلاح للقتال. | Sentence Perturbation 1042.json |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | И нима при вас има листа от дървета? | И нима там ще откриеш река сред дърветата?, И ще откриеш ти [ о, Мухаммад ], че на дърветата има рухване., Най-вероятно ще намерите листо в дърветата., И колко голямо е онова, по което можеш да намериш клони по дърветата! | Sentence Perturbation 1043.json |
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | Du bist verrückt, ein Silberküken in einem Adlernest zu finden. | Sie neigen dazu, einen Scip in einem Adlernest zu finden., Sie sind unglücklich, einen Glatzenadler in einem Adlernest zu finden., Sie sind traurig, einen Glatzadler in einem Aide's Weg zu finden., Du wirst wahrscheinlich einen Glatzenadler in einem Adlernest finden. | Sentence Perturbation 1044.json |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. | La gente parece llorar comida todos los días para vivir. | La gente necesita comer todos los días para vivir., los seres humanos necesitan comer alimentos todos los días para consumir., La gente hace a los alimentos básicos todos los días para vivir., La gente lucha para comer toda necesidad de vivir. | Sentence Perturbation 1045.json |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the sentence expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link]. | What is the sentiment of the following document towards the entity Mariano Rajoy ? In an interview with Spanish newspaper El Pais on Saturday Rajoy was asked if he was ready to trigger the article 155 of the constitution and said: âI donât rule out absolutely anything that is within the law ... Ideally it shouldnât be necessary to implement extreme solutions but for that not to happen things would have to be changed.â | Neutral | Sentiment Analysis 1049.json |
Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link]. | Verify if the sentiment of the following document towards the entity Rodrigo Duterte is Negative . Western governments and human rights watchdogs have expressed alarm over his crackdown on illegal drugs which has left thousands of mostly poor suspects dead. He has lashed out at critics including European governments which he told Monday "to go to hell" for imposing conditions on financial aid. | yes | Sentiment Analysis 1050.json |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link]. | Verify if the sentiment of the following document towards the entity David Samson is Negative . Miami Marlins president David Samson will reportedly be shown the door after the team is sold. That should make it much easier for the incoming owners to bolster the team's balance sheet.
But equity has been hard to come by in this sale process. As things stand the asking price for the team --the sale of which has been led by Samson -- has fallen from $1.8 billion to $1.2 billion in just about eight months.
Current Marlins owner Jeff Loria and Samson have built up a lot of ill will in Miami over the years mostly due to the stadium boondoggle that led to the recall of Miami-Dade mayor Carlos Alvarez. The Marlins are last in the National League in attendance.
With Samson on his way out more cash should come in. And with the team expected to lose money the next few years that cash will come in handy. Rebuilding the brand is not going to be cheap. | no | Sentiment Analysis 1051.json |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). | प्रः यूटीआइ ने रिलयंस के शेयर सीधे बाजार से उ आने के बदले प्राइवेट प्लेसमेंट के जरिए क्यों खरीदे ? | Q . Why did UTI buy RIL shares through private placement and not from the market ? | Translation 1052.json |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is. | Due to the curse of Guru Parshuram finding himself unable to use divine weapons he gets down to extract the wheel of the chariot. | गुरु परशुराम के शाप के कारण वह अपने को दैवीय अस्त्रों के प्रयोग में भी असमर्थ पाकर रथ के पहिए को निकालने के लिए नीचे उतरता है। | Translation 1053.json |
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in sentence case (capitalize only the first word of each sentence and noun). | Hindi: ऐसा लगता है जैसे मैं पोशाको के साथ खेल रही हूँ ,
English: Puzzling Procastrination : In this atmosphere of contempt for the law and growing anarchy , it becomes even more puzzling that the home minister has not yet begun to address the issue of police reform . | No | Text Matching 1054.json |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time. | all his books were translated to English and Urdu, and other languages like Chinese, Russian, etc and his stories were published in other foreign languages. | English | Language Identification 1055.json |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment. | One final hard thrust and he had sent me into pure intoxication. | Original | Linguistic Probing 1056.json |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present". | ' Hey, look who is here ; Brandon, wassup bra ?' | Present | Linguistic Probing 1057.json |
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment. | The mech wolves moved back, and the robots began to disperse. | Plural | Linguistic Probing 1058.json |
In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment. | She shrugged and cut a chunk of cheese, sliding it onto her tongue from the back of her knife. | Singular | Linguistic Probing 1059.json |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). | He further claimed that people have said to him that "they're really pushing the Iran thing." | उन्होंने आगे दावा किया कि लोगों ने उनसे कहा है कि "वे वास्तव में ईरान की बात को आगे बढ़ा रहे हैं।" | Translation 1060.json |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). | Citigroup Inc. द्वारा वर्ष के पहले दो महीनों के दौरान मुनाफे के प्रबंधन के बारे में खबर आने के बाद इस सप्ताह की शुरुआत में यह रैली शुरू हुई। | The rally began earlier this week after the news from Citigroup Inc. about managing profits during first two months of the year. | Translation 1061.json |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No". | English: Colville said that the recent attacks on journalists were not uncommon in Pakistan and that many journalist groups regard the country as one of the most dangerous places to work.
Hindi: कोल्विल ने कहा कि पाकिस्तान में पत्रकारों पर हाल के हमले असामान्य नहीं थे और कई पत्रकार समूह देश को काम करने के लिए सबसे खतरनाक स्थानों में से एक मानते हैं। | Yes | Text Matching 1062.json |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). | "Now we will just destroy all these beautiful communities, with their unique agriculture and incredible Judaism - for what?" Sharansky asks. | 「今や我々はただ徒に、彼らの独特の農業と驚嘆すべきユダヤの教え、これらすべての美しいコミュニティを破壊する、が、それは何のためだ？」とシャランスキーは尋ねる。 | Translation 1063.json |
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). | 1956年から東エルサレムに住んでいた二つのパレスチナ人家族が、立ち退きに対する申し立てをイスラエルの裁判所が拒絶した後、日曜に彼らの家から追い出された。 | Two Palestinian families who have been living in East Jerusalem since 1956, were evicted from their homes on Sunday after an Israeli court rejected their appeal filed against the eviction. | Translation 1064.json |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No". | English: ITV News Border reporter Matthew Taylor said Batey "will leave a lasting legacy in this region".
Japanese: ヴェルデンス・ガング新聞(VG)のオンライン版からの3人のジャーナリストがテストを受けた後、陳述がなされた。 | No | Text Matching 1065.json |
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language. | Park with peaceful surroundings of flowers and plants with several visitors. | ઘણા મુલાકાતીઓ સાથે ફૂલો અને છોડના શાંતિપૂર્ણ વાતાવરણ સાથે પાર્ક. | Translation 1066.json |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". | Gujarati: એક બેન્ચ પર બેઠેલી બે સ્ત્રીઓની મેટલ પ્રતિમા.
English: A metal statue of two women sitting on a bench. | Yes | Text Matching 1068.json |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time. | A church with a large steeple sitting on a hilltop that's covered in snow. | English | Language Identification 1069.json |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact | English sentence: Another example given was to use the two-year marriage and EB-5 conditional residence model. | Tusaale kale la siin jiray si ay u isticmaalaan guur laba sano iyo EB-5 model deganaansho shuruud. | Translation 1073.json |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs. | Text: Isinusulat ni Cherry Rose Alcantara (kanan) ang mahahalagang detalye mula sa Livelihood Training Program noong Marso 5. Nang mapanood niya ang pelikulang pinamagatang “Crying Life”, nabuksan nito ang mga mata ni Alcantara tungkol sa mga pagdurusa ng hayop na kinakatay upang magsilbing pagkain. | Tagalog | Language Identification 1074.json |
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact. | English sentence: 0 Replies to “Sana may autosave feature ang WP” | 634 Replies to “Sa mga naghahanap ng talumpati” | Translation 1075.json |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact | Igbo sentence: 4 Ife-nzà we putara ab͕uru nile nke ndi Kohat: umu Eron, bú onye-nchu-àjà, ndi sitere na ndi Livai, we nwe obodo iri na atọ sitere n'ebo Juda, site kwa n'ebo ndi Simeon, site kwa n'ebo Benjamin, n'ife-nzà. | 4 And the lot came out for the families of the Kohathites: and the children of Aaron the priest, which were of the Levites, had by lot out of the tribe of Judah, and out of the tribe of Simeon, and out of the tribe of Benjamin, thirteen cities. | Translation 1076.json |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact | Somali sentence: "Waxa ay ka dhigan tahay: Sida xaqiiqada ah Annagaa ku qurxinay Samada hoose la xiddigaha oo ka dhigay xiddigaha macbudka duminayow qalab syaithan" [Al-Mulk: 5] | "It means: Surely We have adorned the lower heaven with the stars and made the stars thrower syaithan tools" [Al-Mulk: 5] | Translation 1077.json |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact. | Tagalog sentence: Kanyang pagka-akit sa mga mushrooms mula sa maagang bahagi ng 1960s nakakita siya lumipat mula sa apisyonado kalagayan sa propesyonal na kalagayan bilang isang mycologist. | His fascination with mushrooms from the early 1960s saw him move from amateur status to professional standing as a mycologist. | Translation 1078.json |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact | English sentence: Â Â Czech Republic – a brief historical overview of the geography; | Czech Republic - nkọwa dị mkpirikpi banyere akụkọ banyere ala; | Translation 1079.json |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct. | He puts down his drink and leaves. He | is running down the stairs. | Text Completion 1080.json |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context | Holding her head, the impostor lowers her hands. Blue scales | a side of the craft. | Wrong Candidate Generation 1081.json |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement. | She smokes as she makes a call from the driver's seat. | She walks to a car and places the massage table in the trunk. | Text Completion 1082.json |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. | 1, 8, ['I', '2947', 'E', '1213', 'w', 'A', 'i', 'h', 't', 'G', 'E', '1497', '6069', '7733'] | I2947E1213wAih | Program Execution 109.json |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase". | کدام کشورها امروز را عید فطر اعلام کردند؟ <sep> کدام کشورها عید فطر را اعلام کردند؟ | not-paraphrase | Text Matching 1092.json |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity). | Entity 1: benzoic acid
Entity 2: benzene ring | yes | Entity Relation Classification 1099.json |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative. | We went here for the $2 tacos and were pleasantly surprised at how delicious they were! We ended up going back the next day for more!\n\nFood was good and who can beat $2?!?! Definitely get the shredded beef and not the chicken (the chicken was just kind of bland).\n\nThe first day the service was terrible, disorganized and we seemed to be at an invisible table. Also, the ice tea was like $4. For iced tea? Ridiculous. The next day the service was MUCH better.\n\nGreat place for a cheap snack! | POSITIVE | Sentiment Analysis 1102.json |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization. | ['6219', '7091', 'J', '7395', 'E', '5561'] | J, E | Program Execution 1115.json |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive. | "Mad Max," the first film in a much-imitated but never equalled "action" tragedy/trilogy, perfectly sets up the following two movies. Together, they form an epic of one man's losses of all he loves, his ruthless revenge, and his eventual redemption, beginning in "The Road Warrior," when he grudgingly assists a commune whose members repay him with treachery. Despite that, his metamorphosis comes to fruition in "Thunderdome," in which Max regains his humanity to the fullest degree.Side made several in Australia before this one, and the one to see is "Tim," in which Mel gives an incredible performance that's about as opposite of an apocalyptic anti-hero as anyone could get. This man has amazing talents, to the "Max." | Positive | Sentiment Analysis 1120.json |
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative. | Review: Alvin Schwartz's stories always played second fiddle to Stephen Gammell's art. Without it, this book is not worth anyone's time or money. Avoid it and seek the originals.
Polarity: Negative | True | Sentiment Analysis 1121.json |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny. | News Headline: A side-by-side comparison of Obamacare and the GOP ’s {replacement} plan - Los Angeles Times
Edit: terrible | Funny | Text Categorization 1122.json |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". | News Headline: Out of loopholes , Trump must disclose Stormy Daniels {debt} in next financial report
Edit: fee
Label: Funny | Yes | Text Categorization 1123.json |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A. | ['v', 'E', '5543', '9131', 'r', '5517', '3707', 'c', '3311', '6821', 'E', 'N', '1131', '3219', 'k', '7063', 'b', 'a', '2965', 'K', '8283', 'm', 'e', 'K', 'G', 'l', '4301', '1169', '1229'] | 5543, 9131, 5517, 3707, 3311, 6821, 1131, 3219, 7063, 2965, 8283, 4301, 1169, 1229 | Program Execution 1124.json |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum. | ['7325', 'e', 'O', '659', '5843', '3893', '6649', 'G', '1959', 'X', '5133', '1743', 'S', 'V', '5237', '949'] | 39390 | Program Execution 1126.json |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list | ['Q', 'w', '1195', 'y', '7445', 'j', '7167', '5949', 'e', 'v', '6519', 'E', 'B', '2099', 'l', 'Q', '1571', '7425', '8491', '2405', 'N', '7757', '3335', '9693', '7135', '747', 'M', '1387', 'A', '8561', '8089', '3667', 'U', '8681', 'M', '77'] | 15 | Program Execution 1131.json |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list. | ['l', '3121', '677', 'a', '8263', '2185', '1189', '5393', 'V', '6025', '767', 'u', 'M', 'F', '3491', '6373', '1833', '4743', '2007', 'w', 'D', 'W', 'H', 'O', '1371', '4123', '1733', 'f', '5061', '8399', 'j'] | 18 | Program Execution 1132.json |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list. | ['x', '4411', '2157', '7723', 'B', '6317', '3323', 'j', '361', 'A', 't', '9859'] | 1, 5, 8, 10, 11 | Program Execution 1133.json |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list. | ['x', 'G', '5829', 'U', 'E', 'b', 'g', '2777', '7853', '9171', '3909', '695', 'N', '4011', '3933', 'q', 'z', '491', 'p', '1613', 'H', '955', 'A', 'W', 'H', '4383', 'F', 'k', 'x', 'i', '931', '9493', '6459', '4183', 'V', 'N', '8413'] | 3, 8, 9, 10, 11, 12, 14, 15, 18, 20, 22, 26, 31, 32, 33, 34, 37 | Program Execution 1134.json |
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise. | ACTION1: telling my girlfriend she says I love you too much ACTION2: making bad tiramisu | no | Ethics Classification 1135.json |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements. | ['3987', '955', '3361', '8239', '7637', '5969', '9771', 'k', '137', 'h', '2361', 'X', '9501', '9077', '6967', 'Z', '8151', '5095', 'R', '237', '3441', 'K', 't', '1421', '1195', 'm', 's', '8021', 'F', 'U', '5677', 'N', '757', '423', '7727', '7733', 'Q'] | k, h, X, Z, R, K, t, m, s, F, U, N, Q, 3987, 955, 3361, 8239, 7637, 5969, 9771, 137, 2361, 9501, 9077, 6967, 8151, 5095, 237, 3441, 1421, 1195, 8021, 5677, 757, 423, 7727, 7733 | Program Execution 1136.json |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally. | Text: **disclaimer: i had to make a throwaway i can't risk my friends finding out.**
well for the past couple months if there was a porn video i really liked i would save it onto a word document and save that document onto my usb. i was always careful when opening, closing and saving this file. well today i forgot to close this fateful word document after a fap. my browser history and such was gone (thanks google incognito) but i forgot to close this document. so my mom comes home and she needs the computer, she gets an email and decides she wants to print it out by copying and pasting it to word. well she clicks on the word icon and well fuck microsoft word it opens my porn filled document. she's repeatedly pressing open and close trying to get a new document and i walk up and she says "bob"(not my real name) whenever i open word it gives me this. well she decides to keep the document open and scroll through it, at this point she sees a website name in a link "pornhub". she says "bob" what is this.....i froze and i said i don't know its probably from a virus. (i had already told her earlier today that i'd be running a scan to ensure we were safe from them, so i kinda had this going for me). i quickly close the document and thank god word didn't ask me to save the document or i would have died even more. well she was in a rush to get to a meeting so she didn't say much but i'm fearful of what is to come. | TIFU by saving a word document of my favorite porn sites. | Title Generation 1137.json |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment. | Emily pedaled into the kitchen . | Changed | Linguistic Probing 1142.json |
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" based on your judgment. | He saw all the icons depicting episodes in the Bible and he could hear the voice of the church . | Original | Linguistic Probing 1143.json |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other. | it's not you k sorry wearyface loudlycryingface | sad | Sentiment Analysis 1144.json |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'. | Dialogue 1: 'no movie long time what did movie do to you '. Dialogue 2: 'i cant buy happiness with money money can buy a jetski have you ever seen someone unhappy on a jetski wow you are right'. | no | Sentiment Analysis 1145.json |
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match. | attributes the "Zion Dialectic" to this philosopher that theorized mules are infertile because their wombs are attached to their bellies. Another of his scientific theories is that salts are solidified because of the sun. One of this philosopher's works discusses that whatever is lawful extends through the wide-ruling air and boundless light, and a later part of it a father who killed his son with a prayer in preparation for a feast, and equates it with a time where the children kill their parents. This philosopher believed that animals housed sinful souls, and he also believed that there is a correlation between the soft blood of the body and the amount of air breathed in. This philosopher frequently referred to his "two-fold" truths, and he refers to entities that wander near the sea of life, those entities, are detached from the bodies, and are limbs. This man also theorized about the importance of a concept which makes many out of one, Strife. For ten points, name this philosopher who discussed the notion of the four elements before throwing himself into Mt. Etna. | Social Science | Text Categorization 1148.json |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'. | ['6643', 'w', 'q', 'f', '6817', '8237', '2201', '9697', '3833', '13', 'e', 'y', '6861', '5089', 'R', '2831', '2329', '1693', '4243', 'c', 'n', 'W', '61', 'O', 'g', '7815'] | Numbers Win | Program Execution 1150.json |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name). | The knowledge that the framework relations between the European Parliament and the European Commission still remain to be negotiated led to our disagreement with the rapporteur when we debated his report in committee. | Saber que el marco de las relaciones entre el Parlamento Europeo y la Comisión Europea aun debe ser negociado propició nuestro desacuerdo con el ponente al debatir su informe en comisión. | Translation 1157.json |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name). | Por consiguiente, confío plenamente en que la Comisión podrá seguir muy de cerca el desarrollo de la situación en Austria, al igual que en cualquier otro Estado miembro. | Therefore I am fully confident that the Commission will be able to follow very closely the evolution of the situation in Austria, as in any other Member State. | Translation 1158.json |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No" | English: This is what we are doing and we are committed to this.
Spanish:También debería servir como aliciente, ya que se conserva una parte flexible para gente que trabaje respetando el medio ambiente, a condición de que la Comisión vigile bien todo este sistema y controle si funciona. | No | Text Matching 1159.json |
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time. | EXPLICACIONES DE VOTO | Spanish | Language Identification 1160.json |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been separated by a newline character. | پیمان تیلسیت، نام دو موافقتنامه بود که پس از پیروزی در نبرد فریدلند از سوی ناپلئون بناپارت امپراتور فرانسه به امضاء رسید. نخستین پیمان میان ناپلئون و الکساندر یکم تزار امپراتوری روسیه امضاء شد. پیمان دوم هم با پادشاهی پروس بسته شد.
معاهده تیلسیت میان ناپلئون و الکساندر اول تزار روس بود. | E | Textual Entailment 1161.json |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No". | Sentence-1: It's a religion to me.<sep>Sentence-2: I am vegetarian or vegan . | Yes | Text Matching 1193.json |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer. | I can't eat raw fish. | Are you a sushi fan? | Question Generation 1195.json |
In this task, you have to generate the title of the recipe given its required ingredients and directions. | ingredients: '1 12 cups all-purpose flour', '12 cup oatmeal', '3 teaspoons baking powder', '14 teaspoon salt', '12 cup chopped pecans', '12 cup chopped dates', '1 large orange', '2 eggs, lightly beaten', '14 cup honey', '14 cup brandy', '1 tablespoon orange juice concentrate, thawed', '1 teaspoon vanilla', '2 tablespoons canola oil', '34 cup milk',<sep> directions: 'Preheat oven to 350.', 'Grease one loaf pan.', 'Flour the bottom only.', 'Zest and juice the orange.', 'Should yield about 1 tbs zest and 1/4 cup juice.', 'Mix flour, oatmeal, baking powder, and salt in a bowl.', 'Add the pecans, orange zest, and dates.', 'Toss until coated.', 'Add liquid ingredients and mix with a fork until well blended.', 'The batter will be rather lumpy -- do not overmix!', 'Pour into loaf pan.', 'Bake 60 minutes or until a toothpick inserted in the center comes out clean.', 'Cool 10 minutes.', 'Remove from pan and cool on rack.', 'Wrap and store overnight.', 'Yes, I know its hard to resist the temptation to cut it while its still warm and the kitchen smells so good.', 'But the flavor develops further as it sits so your patience will be rewarded.', ';).', 'Enjoy plain, with butter, or with spreadable cream cheese.' | Brandied Orange Nut Bread | Title Generation 1196.json |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity. | 2 (16 ounce) bottles fresh squeezed lemonade, 2 cups vodka, 4 cups ice cubes, 2 lemons, halved, 8 sprigs fresh mint, garnish | fresh squeezed lemonade, vodka, lemons, mint | Named Entity Recognition 1197.json |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity. | Grease 13 x 9 x 2 pan; pour in apple sauce., Mix together all remaining ingredients., Sprinkle mix over applesauce., Bake 30 min at 375 degrees., Serve hot topped with whipped cream. | apple sauce, brown sugar, flour, oats, cinnamon, nutmeg, butter | Named Entity Recognition 1198.json |
In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Perform the operations in order, i.e., do not concatenate the elements and then reverse the string. | 1, 15, ['g', 'Z', 't', '2635', '4715', '5769', '1747', '9085', '3105', '8349', '3101', 'm', '9683', '2467', 'T', 'M'] | T24679683m31018349310590851747576947152635tZg | Program Execution 120.json |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the blank with a question, it should have an answer from the agent in the given dialogue. Fill the gap marked with underline. | customer: Hello,.
agent: Hello, how can I serve you?
customer: As its business trip, please book a ticket from Houston, TX-HOU to Charlotte, NC-CLT.
agent: Sure, please provide me your preferable dates to travel.
customer: My travel dates are from 01/18 to 01/20.
agent: Can I have your name please?
customer: My name is Jerry Hill.
__
customer: Price limit is 200.
agent: Ok, please give me a moment to check the availability.
customer: Sure.
agent: There is a Delta airline with fare 200 from flight number 1026 which is exactly matching your details. Shall I proceed with a connecting flight?
customer: Please proceed to book a ticket.
agent: Your reservation has been confirmed.
customer: Thanks.
agent: Thank you for choosing us. | agent: Jerry, do you have any price limit? | Dialogue Generation 1201.json |
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer". | Can you please book a ticket from IAH to SFO to attend for a live concert? | customer | Speaker Identification 1202.json |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user. | Hello, I was interesting in traveling to Liechtenstein and I was wondering if you could tell me about the Security there?
Thank you, do you have any more information about the demographics of Lichtenstein?
You have taught me a lot about Liechtenstein, thanks for your help!
According to the Pews Research Center, social conflict caused by religious hostilities is low in Liechtenstein, and so is government restriction on the practice of religion.
Great, thank you. Can you tell me about the Demographics of Liechtenstein? | According to the Pews Research Center, social conflict caused by religious hostilities is low in Liechtenstein, and so is government restriction on the practice of religion. | Dialogue Generation 1203.json |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant. | Sure, members of the Council of Ministers must be approved by 2/3 of Burundi's legislature. Also the Cour Supreme (supreme court) is its highest court | assistant | Speaker Identification 1204.json |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations. | Context: Bailey took an outing as a family to a local animal park.
Question: How would you describe Bailey?
Options: (A) happy to be spending time with family (B) Scared as she dislikes her family (C) Annoyed as she wanted to bring the dog instead
Answer: A | No | Answer Verification 1206.json |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'. | Context: Quinn also gave a smile because the scene was very funny and entertaining.
Question: How would you describe Quinn?
Options: (A) bored (B) passive (C) happy | C | Question Answering 1207.json |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations.. | Context: Riley restored the meeting to normal after much laughter and chaos ensued following a joke.
Answer: get down to business | What will Riley want to do next? | Question Generation 1208.json |