ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: Given a sentence in Chinese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Categories: Translation
Domains: Wikipedia

Positive examples:
input: 1975年的NBA赛季 -  76赛季是全美篮球协会的第30个赛季。
output: La saison 1975-1976 de la National Basketball Association était la 30e saison de la NBA.
explanation: This is a correct and accurate translation from Chinese to French because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.; input: 当可以保持相当的流速时，结果很高。
output: Les résultats sont élevés lorsque des débits comparables peuvent être maintenus.
explanation: The resulting paraphrased translation from Chinese to French is correct because the resulting translation holds the message that results are high when comparable rates of flow are maintained.

Negative examples:
input: 1560年10月，他在巴黎秘密会见了英国大使Nicolas Throckmorton，要求他通过苏格兰返回英国。
output: En octobre 1560, il rencontra secrètement l'ambassadeur d'Angleterre, Nicolas Throckmorton, à Paris, et lui demanda un passeport pour retourner en Écosse par l'Angleterre.
explanation: This is not a proper translation from Chinese to French because the resulting translation is not accurate to the original idea in which the locations of England and Scotland are not accurate.; input: 还有具体的讨论，公众形象辩论和项目讨论。
output: Il y a également des discussions publiques, des discussions de profils spécifiques et des discussions de projet.
explanation: This translated paraphrase from Chinese to French is incorrect because the resulting translation does not reflect the actual topics of dicussion and debate relating to profiles and projects.
Task: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Categories: Program Execution
Domains: Captions -> Image Captions
Reasoning: Numerical Reasoning; Mathematics -> Counting

Positive examples:
input: Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the colorfully decorated living room has a retro style chair in it'. Is the frequency of the word 'beside' in two sentences equal?
output: No
explanation: Frequency of the word 'beside' in Sentence1 is 1 but 0 in Sentence2. So, the answer is 'No'; input: Sentence1: 'a man riding a wave on top of a surfboard', Sentence2: 'a sandwich sitting on top of a frying pan'. Is the frequency of the word 'of' in two sentences equal?
output: Yes
explanation: Frequency of the word 'of' in both Sentence1 and Sentence2 is 1. So, the answer is 'Yes'.

Negative examples:
input: Sentence1: 'people flying traditional kites over water in a large city', Sentence2: 'two people are playing a tennis video game on a projection screen'. Is the frequency of the word 'people' in two sentences equal?
output: No
explanation: Frequency of the word 'people' in both Sentence1 and Sentence2 is 1. So, the answer should have been 'Yes' instead of 'No'.
Task: Given a sentence in English, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Categories: Translation
Domains: Wikipedia

Positive examples:
input: The NBA season of 1975 -- 76 was the 30th season of the National Basketball Association .
output: 1975  -  76年の全米バスケットボール協会のシーズンは、NBAの第30シーズンでした。
explanation: This is a correct and accurate translation from English to Japanese because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.; input: When comparable rates of flow can be maintained , the results are high .
output: 匹敵する流速を維持することができるとき、結果は高いです。
explanation: The resulting paraphrased translation from English to Japanese is correct because the resulting translation holds the message that results are high when comparable rates of flow are maintained.

Negative examples:
input: In Paris , in October 1560 , he secretly met the English ambassador , Nicolas Throckmorton , asking him for a passport to return to England through Scotland .
output: 1560年10月、彼はパリでイギリスの大使ニコラス・スローモートンと密かに会い、イングランドを通ってスコットランドに戻るためのパスポートを求めた。
explanation: This is not a proper translation from English to Japanese because the resulting translation is not accurate to the original idea in which the locations of England and Scotland are not accurate.; input: There are also specific discussions , public profile debates and project discussions .
output: パブリックディスカッション、プロファイル固有のディスカッション、およびプロジェクトディスカッションもあります。
explanation: This translated paraphrase from English to Japanese is incorrect because the resulting translation does not reflect the actual topics of dicussion and debate relating to profiles and projects.
Task: You are provided with an "Event", "Intent" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.
Categories: Misc.
Domains: Commonsense -> Concepts and Relations
Reasoning: Logical Reasoning -> Reasoning with Symbols

Positive examples:
input: Event: PersonX enters PersonX's home. Intent: 1) to relax at home 2) to have some alone time 3)to relax 4) to end the day
output: relieved
explanation: In the input "Event" PersonX enters his home. He enters his home to either relax or have some time alone. Based on these input PersonX is likely to feel relieved, tired, or comfortable. Here the output emphasizes what PersonX feels about the "Event" and "Intent". Here we limit to maximum one reaction for a given "Event". Hence the ouput is relieved.; input: Event:PersonX skateboards with PersonY's friends. Intent: 1) to have fun 2) friendship 3) to skateboard
output: happy
explanation: In the input "Event", PersonX skateboards with some other Person's friend. He does that to either have fun, increase his friendhsip or just to skateboard. Based on this, PersonX is likely to feel happy because he had fun.; input: Event:PersonX throws ___ in the eyes. Intent: 1) stop someone 2) take vengeance on someone
output: vindicated
explanation: In the input "Event", PersonX throws something in the eye. This could lead to either a positive reaction or a negative reaction but based on the given intenet which states it did to stop someone or take vengance on someone we can give one output reaction as vindicated; input: Event: PersonX puts PersonX's phone. Intent: 1) to get it charged
output: good
explanation: Based on the given input PersonX put's his phone to charge. In this, how PersonX is likely feel after the "Event"? He might feel good or satisfied after doing that "Event", which is provided inside the output

Negative examples:
input: Event:PersonX starts to yell at PersonY. Intent: 1) to express anger 2) to vent their frustration
output: happy
explanation: This is an example of a bad output because PersonX starts yelling at a person to express his anger. That doesn't make sense that his reactions would be happy instead he should be mad or frustrated.; input: Event:PersonX drinks a cup of coffee. Intent: 1) to wake up  2) to feel more energized
output: angry, dangerous, surprised, shocked
explanation: This is an example of a bad output as the PersonX reaction's doesn't make sense based on the given intent. Along with this the maximum length of the given output should be 1.; input: EventPersonX gives PersonX's candy. Intent: 1)to share
explanation: This is an example of a bad output as there should be atleast one output reaction.
Task: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: 地球が今よりも無垢だった時代を訪れたかのようでした
output: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
explanation: The Japanese sentence is correctly translated into Arabic, because the meaning is preserved.; input: 現在ジョンは完全に自立した生活をしています
output: و اليوم جون مستقل تماما.
explanation: The Japanese sentence is correctly translated into Arabic, because the meaning is preserved.; input: これが彼らの案です
output: هذه هي خريطتهم.
explanation: The Japanese sentence is correctly translated into Arabic, because they both attribute an idea to the correct group.

Negative examples:
input: 2000年代の初めに信頼できる人が多い国家はより繁栄することを発表したからです
output: لأنه في أوائل التسعينيات ، أعلنت دولة تتمتع بقدر كبير من الثقة أنها ستكون أكثر ازدهارًا.
explanation: The Japanese sentence is not correctly translated into Arabic, because `2000` is incorrectly translated as 1990.; input: 食物連鎖の底辺小さなプランクトンがどの様にして中層に位置する生物の餌になるのか図の頂点に至るまで考えます
output: نرى أساس سلسلة الغذاء ، العوالق تلك الأشياء الصغيرة ، و نرى كيف تلك الحيوانات هي غذاء لحيوانات أخرى في وسط الهرم ، و كذلك تصاعديا كما في الشكل البياني
explanation: The Japanese sentence is not correctly translated into Arabic, because the meaning is different.; input: でもそれはまた他の原因による死も招きます
output: لماذا ؟ لقد تبين لي في بداية هذه الألفية ان الدول التي لدى سكانها نسبة ثقة مرتفعة هي الأكثر إزدهاراً
explanation: The Japanese sentence is not correctly translated into Arabic, because the meaning is different.
Task: You are given a sentence and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely out of context. Try to write short answers with one or two words.
Categories: Wrong Candidate Generation
Domains: Story; Commonsense -> Concepts and Relations
Reasoning: Relational Reasoning

Positive examples:
input: Sentence: Jacob and Benny are squatting at the gym. Jacob has thin frail legs and Benny has big strong legs. Question: Who squats less weight?
output: Benny
explanation: Typically, people with thin frail legs squat less weight than people with big strong legs, so the incorrect answer is Benny.; input: Sentence: The fastest land animal on earth, a cheetah was having a 100m race against a rabbit. Question: Which one won the race?
output: the rabbit
explanation: Since the cheetah is the fastest land animal, it was more likely to win the race, so the incorrect answer is the rabbit.

Negative examples:
input: Sentence: Suppose your neighbor John is playing music and your friend Nikos at the end of the street is also playing music. Question: Who's music will appear to be louder?
output: John
explanation: Typically, the closer you are to the source of the sound, the louder the sound is. Since John lives closer, his music will appear to be louder. So the incorrect answer is Nikos.; input: Sentence: The Sun is closer to the Earth then the nearest star. Question: Which object looks bigger to someone standing on the Earth looking up?
output: Sun
explanation: In general, as an object gets closer, it appears larger. Since the sun is closer to the Earth, it should look bigger to people on the Earth. So the incorrect answer is Star.
Task: In this task, given a sentence in the English language, your task is to convert it into the Bengali language.
Categories: Translation
Domains: News

Positive examples:
input: He sold the first Club in Pennsylvania and later founded Winner International and sold over ten million units.
output: প্রথম ক্লাবটি তিনি পেনসিলভানিয়াতে বিক্রি করেন এবং পরে উইনার ইন্টারন্যাশনাল প্রতিষ্ঠা করেন ও ১০ মিলিয়নেরও বেশি জিনিশ বিক্রি করেন।
explanation: The above sentence is correctly translated from English to Bengali.; input: Although the wet weekend was more suitable for the Michelin-tyred cars, Schumacher overtook both Renault drivers to win the race.
output: যদিও আর্দ্র আবহাওয়ায় মিশেলিন-টায়ার বিশিষ্ট গাড়ির জন্য বেশি উপযুক্ত ছিলো, তবে শুমাখার উভয় রেনোঁ চালককেই ছাড়িয়ে গিয়ে প্রতিযোগিতায় জয় লাভ করেন।
explanation: The above sentence is correctly translated from English to Bengali.; input: The charges pertained to abuse committed from January 2001 until January 2002.
output: অভিযোগগুলি জানুয়ারী২০০১থেকে জানুয়ারী২০০২পর্যন্ত সময়ে করে নির্যাতনের প্রেক্ষিতে গঠিত হয়েছে।
explanation: The above sentence is correctly translated from English to Bengali.

Negative examples:
input: The plant will be built on the coast of the Mediterranean Sea, and construction will commence as soon as the deal is approved by both countries; the building process is expected to take around seven years.
output: দক্ষিণ থাইল্যান্ডে মুসলিম বিচ্ছিন্নতাবাদীদের বিদ্রোহের হিংসাও চলে আসছে, যার ফলে ২০০৪ সাল থেকে ১, ৯০০ জনের মৃত্যু হয়েছে।
explanation: The above sentence is not correctly translated from English to Bengali as none of the words match the translation.; input: "We will not compromise with Hamas," said Miri Eisin, a spokeswoman for Israeli Prime Minister Ehud Olmert.
output: নিউজিল্যান্ড সরকার ম্যাকডোনাল্ডের উপর "দূর্ব্যবহারের" অভিযোগ অস্বীকার করেছে।
explanation: The above sentence is not correctly translated from English to Bengali as none of the words match the translation.; input: The Young Earth Creationist who sent threatening emails and letters to biologists at the University of Colorado at Boulder also sent threatening letters to the University chancellor G.P. Peterson as well as the vice-chancellor of undergraduate education and others.
output: অক্সিজেন ব্যবস্থার সমস্যার কারণে গত গ্রীষ্মে দেশব্যাপী রেপ্টারগুলিকে পাঁচ মাসের জন্য উড়তে দেওয়া হয়নি।
explanation: The above sentence is not correctly translated from English to Bengali as none of the words match the translation.
Task: You are provided with an arithmetic question. Your task is to compute the solution using the given arithmetic operations. The only arithmetic operators needed to answer the questions are'+'(addition) and'-'(subtraction). The answer should be correct to one decimal place.
Categories: Question Answering
Domains: Mathematics
Reasoning: Numerical Reasoning; Quantitative Reasoning; Mathematics -> Arithmetic

Positive examples:
input: Joan found 70 seashells on the beach. She gave Sam some of her seashells, after which she has 27 seashell left. How many seashells did she give to Sam?
output: 43.0
explanation: The total number of seashells found by Joan is 70. Since she now has 27 seashells left, it implies that she gave 70-27 = 43 seashells to Sam. Hence the correct answer till 1st decimal place is 43.0.; input: There were 28 bales of hay in a barn. Tim stacked some more bales in the barn today. There are now 54 bales of hay in the barn. How many bales did he store in the barn today?
output: 26.0
explanation: The total number of bales in hay today is 54 and we know that there were 28 bales present already. Hence the number of bales he stored today will be 54-28 = 26. Hence the correct answer till 1st decimal place is 26.0.; input: Mary is baking a cake. The recipe requires 8 cups of flour. She already put in 2 cups. How many cups does she need to add more?
output: 6.0
explanation: The recipe requires 8 cups of flour and since 2 was already put, she now needs to put 8-2 = 6 cups more. Hence the correct answer till 1st decimal place is 6.0.; input: Sara's high school played 12 basketball games this year. The team won most of their games. They were defeated in 4 games. How many games did they win?
output: 8.0
explanation: The sum of defeat and wins must add up to the total number of games played. We know that there were 12 games played and 4 of those were lost. Hence the number of wins is 12-4 = 8. Hence the correct answer till 1st decimal place is 8.0.

Negative examples:
input: There are 22 walnut trees currently in the park. Park workers will plant walnut trees today. After the workers are finished, there are 55 walnut trees in the park. How many walnut trees did the workers plant today?
output: 77.0
explanation: The number of walnut trees at the end of the day are 55 and it's given that 22 walnut trees were already present. So the number of trees that the workers planted today will be 54-22 = 32. Hence the correct answer till 1st decimal place should be 32.0.; input: Mike had 34 peaches at his roadside fruit dish. He went to the orchard and picked peaches to stock up. There are now 86 peaches. how many did he pick?
output: 53.0
explanation: The number of peaches picked by Mike will be the difference between the total number of peaches he has now and the ones he had already, that is, 86-34 = 52. Hence the correct answer till 1st decimal place should be 52.0.
Task: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimals in the output. Zero should be counted as an even integer.
Categories: Program Execution
Domains: Code; Mathematics
Reasoning: Mathematics -> Arithmetic

Positive examples:
input: [5, 8, 9, 3, 7]
output: [22, 2.0, 38, 14, 30]
explanation: The odd numbers, 5, 9, 3, and 7 were multiplied by 4 then added 2. The even number eight was divided by 4.; input: [10, 8, 5, 2, 6, 8, 5, 3]
output: [2.5, 2.0, 22, 0.5, 1.5, 2.0, 22, 14]
explanation: The rules are applied correctly for even/odd numbers.

Negative examples:
input: [7, 0, 1, 4]
output: [7, 0, 1, 4, 30, 0, 6, 1]
explanation: The output appended the new values to the input list.; input: [3, 9, 4, 5, 6]
output: [0.75, 2.25, 18, 1.25, 26]
explanation: The output divided the odd integers by 4 and multiplied the even integers by 4 and added 2.
Task: In this task, you have given an input which is agent's reply, based on that you have to identify what will be users' command for that reply. The user generally asks a question related to event scheduling or information of the scheduled events. Agent reply based on the available information or do the task as per user command.
Categories: Dialogue Generation
Domains: Commonsense -> Concepts and Relations -> Social Commonsense; Dialogue
Reasoning: Commonsense Reasoning -> Social Situations; Reasoning on Social Interactions

Positive examples:
input: I didn't find any events with Gavin this week
output: Search for any meetings with Gavin for this week.
explanation: The agent has replied about the events with Gavin, and the user has also asked about the same thing.; input: Sorry, I can't do reminders.
output: Remind me of the first flight to london
explanation: The user has asked about the reminders, and the agent has replied about the reminders only.

Negative examples:
input: I didn't find any events with Jerri Skinner.
output: I need it to last 2 hours.
explanation: Agent has replied about the event with Jerri Skinner while User has asked about something about duration.; input: I've changed the location of meeting my friends to Starbucks.
output: Can you add meeting my friends tomorrow from 12 pm until 3 pm at the library.
explanation: Agent has changed the location of the meeting, while the user is asking about meeting with friends.
Task: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If it is about requesting something, generate 'REQUEST'. If the sentence mentions requesting an alternative option than the one provided, generate 'REQUEST_ALTS'. Similarly, generate 'OFFER' if the sentence is offering some information. If the sentence is about showing intent to do something, generate 'INFORM_INTENT'.
Categories: Dialogue Act Recognition
Domains: Dialogue
Reasoning: Reasoning on Social Interactions

Positive examples:
input: Now seems a good moment to watch the movie.
output: INFORM_INTENT
explanation: The user is passively expressing his intent to watch a movie and asking for a suggestion; input: Do you have a specific which you want the eating place to be located at?
output: REQUEST
explanation: The system is requesting the user for location preferences; input: I see that at 71 Saint Peter there is a good restaurant which is in San Jose.
output: OFFER
explanation: The system is offering the information it gathered based on the details provided; input: They do serve alcohol but there is no live music.
output: INFORM
explanation: The system is giving specific details about a restaurant. So, it comes under INFORM action; input: There's 1 at La Boom, the event title is Americo.
output: OFFER
explanation: The system is offering an event.; input: That sounds good to me. I would like to buy 4 tickets to that event.
output: INFORM
explanation: The human is informing the system that they like 4 tickets.; input: Ok, Find me another restaurant?
output: REQUEST_ALTS
explanation: The user is asking for other alternatives than the suggested restaurant. So, it comes under REQUEST_ALTS action

Negative examples:
input: Is there some other restaurant which you can suggest?
output: REQUEST
explanation: The user here is requesting for other alternatives. So, it should be REQUEST_ALTS; input: How would you like Bazille restaurant which is situated in San Jose.
output: INFORM
explanation: The system here is offering an option to the user, not informing any details about the restaurant. So, it should be OFFER.
Task: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: E eu continuo a pensar que o transporte é o centro deste universo.
output: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
explanation: The Portugese sentence is correctly translated into Farsi, because the meaning is preserved.; input: E eu estava lá como essa ajuda.
output: و من برای آن کمک آنجا بودم.
explanation: The Portugese sentence is correctly translated into Farsi, because the meaning is preserved.; input: Então ele junta-as aos pares.
output: این ها را کنار هم میزاره
explanation: The Portugese sentence is correctly translated into Farsi, because the meaning is preserved.

Negative examples:
input: Obrigada pela atenção.
output: چون هرآنچه داشته ‌ ام — ترانه ‌ های رستگاری.
explanation: The Portugese sentence is not correctly translated into Farsi, because the meaning is different.; input: Muitos países no mundo precisam de elevar o padrão do nível de vida.
output: بسیاری نقاط جهان هستند که استانداردهای زندگی در آنها باید بالا رود.
explanation: The Portugese sentence is not correctly translated into Farsi, because the meaning is different.; input: ♪ Porque tudo o que sempre tive ♪ — canções de redenção.
output: از شما به خاطر توجهتون تشکر میکنم.
explanation: The Portugese sentence is not correctly translated into Farsi, because the meaning is different.
Task: Write an inquisitive question about a specific text span in a given sentence such that the answer is not in the text.
Categories: Question Generation
Domains: News
Reasoning: Abductive Reasoning

Positive examples:
input: Sentence: The Obama administration is developing additional screening protocols for airline passengers both overseas and in the United States to control infectious diseases such as Ebola, President Barack Obama said Monday .<sep>Span: Obama administration
output: What was the duration of the Obama administration?
explanation: It is an inquisitive question based on the specific span of the sentence.; input: Sentence: Planetary scientists dream of sending a geologist to Mars to study its rocks by hand .<sep>Span: to Mars
output: Why do Planetary scientists want to study rocks of Mars only?
explanation: It is an inquisitive question based on the specific span of the sentence.

Negative examples:
input: Sentence: The Obama administration is developing additional screening protocols for airline passengers both overseas and in the United States to control infectious diseases such as Ebola, President Barack Obama said Monday .<sep>Span: Obama administration
output: Why are they creating additional screening protocols?
explanation: It is an inquisitive question but not based on the specific span of the sentence.; input: Sentence: Planetary scientists dream of sending a geologist to Mars to study its rocks by hand .<sep>Span: to Mars
output: Whom do Planetary scientist dream of sending to Mars?
explanation: It is not an inquisitive question and can be answered from the sentence itself.