ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
Categories: Translation
Domains: Sociology; News

Positive examples:
input: نئی دلّی ،23 مئیحکومت ہند کی جانب سے موجودہ انکم ٹیکس ایکٹ ، 1961 پر نظر ثانی اور ملک کی اقتصادی ضروریات کے عین مطابق نئی براہ راست ٹیکس قانون سازی کا مسودہ تیار کرنے کے لئے نومبر ، 2017 میں ایک ٹاسک فورس تشکیل دی گئی تھی ، اس ٹاسک فورس کو اپنی رپورٹ حکومت ہند کو چھ ماہ میں پیش کرنی تھی ۔
output: New Delhi, May 23, a Task Force was formed in November, 2017 to revise the current Income Tax Act, 1961 and to draft the new direct tax law enforcement of the country's economic needs,The Task Force had to present his report in the government in six months.
explanation: Correct translation for given sentence. Input sentence means 'New Delhi, May 23, a Task Force was formed in November, 2017 to revise the current Income Tax Act, 1961 and to draft the new direct tax law enforcement of the country's economic needs,The Task Force had to present his report in the government in six months.' which is the same as the output sentence.; input: میزورم میں 913 کروڑ روپے کی لاگت سے ایک ہائیڈرو الیکٹرک پاور پروجیکٹ تعمیر کیا گیا ہے، جسے حال ہی میں قوم کے نام وقف کیا گیا ہے۔
output: A Hydro Electric Power Project has been built in the cost of Rs 913 crores, which has recently been dedicated to the name of the nation.
explanation: Correct translation for given sentence. Input sentence means 'A Hydro Electric Power Project has been built in the cost of Rs 913 crores, which has recently been dedicated to the name of the nation.' which is the same as the output sentence.

Negative examples:
input: پی ایس بی کی لیوریج ٹیکنا لوجی ، آن لائن پرسنل لون اور دروازے پر مبنی بینکنگ سے ایک پی ایس بی کا کسٹمر تمام پی ایس بی کی خدمات تک رسائی حاصل کر سکتا ہے ۔
output: State Level: Rs 50,000, Rs 30,000, Rs 20,000 along with appropriate certificates
explanation: Incorrect translation for given sentence. Input sentence means 'A PSB customer can access all PSB services from PSB leverage technique, online personal lone and door-based banking.' which is the not same as the output sentence meaning 'State Level: Rs 50,000, Rs 30,000, Rs 20,000 along with appropriate certificates'; input: ریاستی سطح پر مناسب سرٹیفکیٹ کے ساتھ 50 ہزار روپے، 30 ہزار روپے اور 20 ہزار روپے۔
output: PSBs to leverage technology, offering online personal loans and doorstep banking, and enabling customers of one PSBs to access services across all PSBs
explanation: Incorrect translation for given sentence. Input sentence means '50 thousand rupees, 30 thousand rupees and 20 thousand rupees with proper certificate at the state level.' which is the  not same as the output sentence meaning 'PSBs to leverage technology, offering online personal loans and doorstep banking, and enabling customers of one PSBs to access services across all PSBs'
Task: Given a part of privacy policy text, classify it into one of these categories: 
 (1) First Party Collection/Use (how and why a service provider collects user information), 
 (2) Third Party Sharing/Collection (how user information may be shared with or collected by third parties), 
 (3) User Choice/Control (choices and control options available to users), 
 (4) User Access, Edit, & Deletion (if and how users may access, edit, or delete their information), 
 (5) Data Retention (how long user information is stored), 
 (6) Data Security (how user information is protected), 
 (7) Policy Change (if and how users will be informed about changes to the privacy policy).
Categories: Text Categorization
Domains: Social Media
Reasoning: Reasoning on Social Interactions

Positive examples:
input: An unnamed third party does receive information about you not covered by our label scheme for an unspecified purpose.
output: Third Party Sharing/Collection
explanation: The given policy text speaks of an unnamed third party which receives data, so the policy text is classified as 'Third Party Sharing/Collection'; input: The site collects your IP address or device IDs for advertising. Collection happens on the website.
output: First Party Collection/Use
explanation: The given policy text says the site it'self collects information from user for advertising, so this policy should be classified as 'First Party Collection/Use'; input: You can opt in for the use of unspecified information by the site, which collects it for an unspecified purpose.
output: User Choice/Control
explanation: The given policy text says the user can opt for the use of their information which is a choice given to user, so the text has to be classified as 'User Choice/Control'

Negative examples:
input: The site collects your cookies or tracking elements for an unspecified purpose. Collection happens on the website, and your data is aggregated or anonymized.
output: User Choice/Control
explanation: The given policy text says the site it'self collects information from user, so the policy should be classified as 'First Party Collection/Use' and not 'User Choice/Control'; input: An unnamed third party does receive unspecified information about you for an unspecified purpose. The data is personally identifiable. You can opt in for data collection for the collection or sharing of your information.
output: First Party Collection/Use
explanation: The given policy text speaks of an unnamed third party which receives data, so the policy text should be classified as 'Third Party Sharing/Collection' and not 'First Party Collection/Use'; input: A user's IP address and device IDs is retained indefinitely to fulfill an unspecified purpose.
output: Third Party Sharing/Collection
explanation: The given policy text talks about retaining the user data like IP Address and device IDs, so the text should be classified as 'Data Retention' and not 'Third Party Sharing/Collection'; input: An unspecified third party does receive unspecified information about you for legal requirements.
output: Science Fiction
explanation: The returned category is not among the options provided for categories.
Task: In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Film, 14)Written work
Categories: Wrong Candidate Generation
Domains: Wikipedia

Positive examples:
input: Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association. 
Question: What is the classified topic of the document?
output: Company
explanation: "Mansfield Building Society" is a UK building society. Hence, the output is incorrect answer.; input: Text:  The third and current HMS Argyll is a Type 23 'Duke' Class frigate. She is currently the oldest serving Type 23 frigate in the Royal Navy. Like all of her class she is named for a British dukedom in this case that of Argyll. 
Question: What is the classified topic name of the document?
output: Company
explanation: "HMS Argyll" is a frigate which comes under "Mean of transportation". Hence, the output is incorrect answer. 

Negative examples:
input: Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association. 
Question: What is the classified topic name of the document?
output: Building
explanation: "Mansfield Building Society" is a UK building society. The generated output is a correct answer. Note the task is to generate incorrect answer.; input: Text:  The third and current HMS Argyll is a Type 23 'Duke' Class frigate. She is currently the oldest serving Type 23 frigate in the Royal Navy. Like all of her class she is named for a British dukedom in this case that of Argyll. 
Question: What is the classified topic name of the document?
output: Mean of transportation
explanation: "HMS Argyll" is a frigate which comes under "Mean of transportation". The generated output is a correct answer. Note the task is to generate incorrect answer.
Task: In this task, you will be presented with a question having multiple possible answers in Spanish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Categories: Question Answering
Domains: Commonsense
Reasoning: Commonsense Reasoning

Positive examples:
input: Question: Era un regalo popular y común este año, así que se dirigió al ¿qué donde sería fácil de encontrar? 
 Options: (A) árbol de navidad (B) calcetines de navidad (C) tienda especializada (D) tienda departamental (E) armario 
output: D
explanation: The predicted answer is correct because out of given many options only department stores are easy to find.; input: Question: El consultorio dental atendió a muchos pacientes con lesiones traumáticas en la boca, ¿de dónde venían estos pacientes? 
 Options: (A) ciudad (B) hospital (C) edificio de oficinas (D) escuelas (E) michigan 
output: B
explanation: This is the correct answer because the traumatic injuries are generally handled by the hospitals.; input: Question: ¿Por qué una persona se quedaría en su trabajo sin ser pagada? 
 Options: (A) Gracias a Dios. (B) espera en la fila... (C) Disfruta trabajando. (D) ofrecer ayuda (E) voluntario 
output: C
explanation: This is the correct answer. If someone loves to work too much then they like to keep working even without getting paid.; input: Question: El ventilador eléctrico había hecho demasiado ruido y estaba molestando a los demás, aunque permitieron muchas cosas personales en los escritorios que se le pidió que lo apagara ¿dónde? 
 Options: (A) armario (B) pasillo (C) cuarto caliente (D) Inicio (E) oficina 
output: E
explanation: The predicted answer is correct as the prahse, they allowed personal things on the desk, suggests that fan is in the office.; input: Question: El Mayor Tom quería preservar las armas. A pesar de lo peligrosos que eran, sentía que podían tener ¿qué en el futuro? 
 Options: (A) calle (B) use (C) ruina (D) rot (E) residuos 
output: B
explanation: One preserves something mainly if he/she thinks that it might be useful in the future. Hence, the predicted answer is correct.

Negative examples:
input: Question: John no sabía qué conseguir para nadie. Comprar regalos de Navidad fue estresante para él, y terminar fue ¿qué? 
 Options: (A) alivio (B) felicidad (C) muy triste (D) falta de dinero (E) deuda 
output: D
explanation: John was stressed on buying the Christmas presents. Hence, the fishing was relief to him. Hence. the predicted answer is incorrect. And correct answer is (A).; input: Question: La taquilla informó a los pasajeros que el tren se retrasaba, así que ¿dónde estaba la taquilla? 
 Options: (A) cine (B) estación de metro (C) escuela (D) estadio de deportes (E) auditorio 
output: D
explanation: This is incorrect answer. Because the train is running late. Hence, the ticket booth is located in metro station. Therefore, the correct answer is (B).
Task: In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
Categories: Translation
Domains: Healthcare; Professions

Positive examples:
input: La LGV est très rare en Europe.
output: LGV is very rare in Europe.
explanation: The translation is correct; input: La transmission s’effectue par l’intermédiaire d’un moustique (l’anophèle) qui est présent dans le monde entier.
output: Transmission requires an intermediate mosquito (anopheles) host, which is found worldwide.
explanation: The translation is fluent, formal, and accurate; input: La malaria est dû aux parasites Plasmodium.
output: Malaria is caused by Plasmodium parasites.
explanation: The translation is accurate

Negative examples:
input: Dans des circonstances normales, le CIU est dirigé par l’Unité de préparation et de réaction.
output: These examples of misuse promote the emergence and the selection of resistant bacteria.
explanation: The translation is incorrect.; input: Infections sexuellement transmissibles
output: Infektionen Übertragungen sexueller
explanation: This example is incorrect because it translated into other languages.; input: Eurosurveillance est publié en ligne hebdomadairement et contient des communications courtes ainsi que des articles plus longs sur la surveillance.
output: Eurosurveillance is contains online weekly and published short communications as well as longer surveillance on articles.
explanation: The translation is not fluent and it's informal.
Task: Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
Categories: Translation
Domains: Wikipedia

Positive examples:
input: La saison NBA 1975 - 76 était la 30e saison de la National Basketball Association.
output: 1975-76赛季的全国篮球协会是NBA的第30个赛季。
explanation: This is a correct and accurate translation from French to Chinese because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.; input: Lorsque des débits comparables peuvent être maintenus, les résultats sont élevés.
output: 当可以保持可比较的流速时，结果很高。
explanation: The resulting paraphrased translation from French to Chinese is correct because the resulting translation holds the message that results are high when comparable rates of flow are maintained.

Negative examples:
input: À Paris, en octobre 1560, il rencontra secrètement l'ambassadeur d'Angleterre, Nicolas Throckmorton, lui demandant un passeport pour retourner en Angleterre en passant par l'Écosse.
output: 1560年10月，他在巴黎秘密会见了英国大使尼古拉斯·斯罗克莫顿，并要求他通过英格兰返回苏格兰的护照。
explanation: This is not a proper translation from French to Chinese because the resulting translation is not accurate to the original idea in which the locations of England and Scotland are not accurate.; input: Il y a aussi des discussions spécifiques, des débats publics et des discussions de projet.
output: 还有公开讨论，特定档案讨论和项目讨论。
explanation: This translated paraphrase from French to Chinese 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 you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Categories: Sentiment Analysis
Domains: Social Media -> Twitter
Reasoning: Commonsense Reasoning

Positive examples:
input: #CNN really needs to get out of the #Propaganda Business.. 30 seconds on USN fallen Soldiers tragedy. Right back at spewing #hatred #POTUS
output: Angry
explanation: The tweet author is angry at cnn because of its propaganda.; input: Don't fucking tag me in pictures as 'family first' when you cut me out 5 years ago. You're no one to me. 
output: Angry
explanation: The tweet author is angry at the person he is talking to because of family problems.; input: Caleb had a nightmare about zombies. I had a dream about freedom.......
output: Not angry
explanation: The author of the tweet isn't angry. They are talking about their nightmare.

Negative examples:
input: This time last year I was pissed at the top of the Eiffel Tower. Today I was down a manhole in the rain. Happy Anniversary @Jordannea11 😘♥️
output: Angry
explanation: the tweet author isn't angry right now so the output should be "Not angry".; input: 'we need to do something. something must be done!!!!!'\n\nyour anxiety is amusing. nothing will be done. despair.
output: Not angry
explanation: The author is angry at nothing being done. The correct answer is "Angry".; input: @lucybeecoconut A make up remover and insect sting relief!
output: Neutral
explanation: The author is not angry, but you should only answer using "Angry" and "Not angry".
Task: In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be labeled as ‘spam’, otherwise, it should be labeled as ‘ham’.
Categories: Spam Classification
Domains: Social Media -> Text Message
Reasoning: Commonsense Reasoning

Positive examples:
input: Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's
output: spam
explanation: Given text message promises to give free tickets.; input: WINNER!! As a valued network customer you have been selected to receivea £900 prize reward! To claim call 09061701461. Claim code KL341. Valid 12 hours only.
output: ham
explanation: Text contains free prizes. Which is generally a spam.; input: U dun say so early hor... U c already then say...
output: ham
explanation: Given SMS contains regular chat messages. Uses abbreviation to like 'U','C','dun' etc.

Negative examples:
input: Even my brother is not like to speak with me. They treat me like aids patent.
output: spam
explanation: The text message is a conversation between two persons, therefore it should not be classified as spam SMS.; input: FreeMsg Hey there darling it's been 3 week's now and no word back! I'd like some fun you up for it still? Tb ok! XxX std chgs to send, £1.50 to rcv
output: spam
explanation: This message consists of the word free and promises to give something free. therefore it is can be classified as spam.
Task: In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Categories: Question Answering
Domains: Mathematics
Reasoning: Quantitative Reasoning; Numerical Reasoning; Mathematics -> Geometry

Positive examples:
input: Problem: if the sides of a triangle are 20 cm , 12 cm and 16 cm , what is its area ? 
Options: a ) 70 , b ) 79 , c ) 85 , d ) 96 , e ) 92
explanation: "Based on the pythagorean theorem, the triangle with sides 20 cm, 12 cm and 16 cm is right angled, where the hypotenuse is 20 cm. area of the triangle = 1 / 2 * 12 * 16 = 96 cm 2 answer : option d"
output: d; input: Problem: find the perimeter and area of a square of side 13 cm . 
Options: ['a ) 121', 'b ) 144', 'c ) 169', 'd ) 196', 'e ) 225']
explanation: We know that the perimeter of square = 4 ã — side side = 13 cm therefore, perimeter = 4 ã — 13 cm = 52 cm now, area of the square = ( side ã — side ) sq. units = 13 ã — 13 cm â ² = 169 cm â ² answer : c
output: c

Negative examples:
input: Problem: the length of a rectangle is 3 times its width . if the width of the rectangle is 6 inches , what is the rectangle ' s area , in square inches ? 
Options: a ) 30 square inches , b ) 108 square inches , c ) 68 square inches , d ) 89 square inches , e ) 92 square inches
explanation: "if the width is 6 in and the length is 3 times the width, then the length is 3 * 6 = 18 in the area is given by 6 * 18 = 108 square inches correct answer b". Hence, option a is incorrect.
output: a; input: Problem: 10 meters of wire is available to fence off a flower bed in the form of a circular sector . what must the radius of the circle in meters be , if we wish to have a flower bed with the greatest possible surface area ? 
Options: a ) 5 / 2 , b ) 2 √ 5 , c ) 5 , d ) 4 √ 2 , e ) none of these
explanation: "area of sector, a = x / 360 * pi * r ^ 2 circumference of the sector = 10 = > x / 360 * 2 * pi * r + 2 r = 20 = > 2 a / r + 2 r = 10 or 2 a + 2 r ^ 2 = 10 r = > a = r 5 - r ^ 2 = r 5 - r ^ 2 we will now max using derivations i . e 5 - 2 r = 0 r = 5 / 2 a". Hence, option c is incorrect.
output: c
Task: In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Categories: Text Matching
Domains: Government and Politics

Positive examples:
input: Bulgarian: Състав на Парламента: вж. протоколи, English: Membership of Parliament: see Minutes
output: yes
explanation: Given translation of bulgarian in english is right. Hence, label is 'yes'.; input: Bulgarian: Защо бяхме против еврото по онова време?, English: Why were we against the euro at that time?
output: yes
explanation: Given translation of bulgarian in english is right. Hence, label is 'yes'.; input: Bulgarian: Защо бяхме против еврото по онова време?, English: I want to eat something today
output: no
explanation: Given translation of bulgarian in english is wrong. Hence, label is 'no'.

Negative examples:
input: Bulgarian: Имахме две основни причини за това, English: This is the very problem which we are facing today.
output: yes
explanation: Although the conversion of bulgarian to english is wrong, the label is 'yes'. The label must be 'no'.; input: Bulgarian: Състав на Парламента: вж. протоколи, English: Membership of Parliament: see Minutes
output: no
explanation: Although the conversion of bulgarian to english is right, the label is 'no'. The label must be 'yes'.
Task: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Categories: Question Answering
Domains: Commonsense -> Stories
Reasoning: Commonsense Reasoning -> Spatial Reasoning

Positive examples:
input: Isabella entered the hall. Olivia entered the hall. Phone rang. The apple is in the blue_treasure_chest. Olivia exited the hall. Isabella moved the apple to the green_basket. Where does Isabella think that Olivia searches for the apple?
output: blue_treasure_chest
explanation: Since Olivia was no longer in the hall, she last remembers the apple being in the blue_treasure_chest even though Isabella moved it to the green_basket. Since Isabella was in the hall the entire time, she knows where Olivia will look for it.; input: Ethan entered the bedroom. Liam entered the bedroom. Phone rang. The eggplant is in the green_cupboard. Liam exited the bedroom. Ethan moved the eggplant to the green_basket. Where is the eggplant really?
output: green_basket
explanation: Ethan last moved the eggplant to the green_basket, which is where it really is.; input: Abigail entered the TV_room. Oliver entered the TV_room. The cucumber is in the blue_envelope. Phone rang. Oliver exited the TV_room. Abigail moved the cucumber to the red_suitcase. Where was the cucumber at the beginning?
output: blue_envelope
explanation: The cucumber was first in the blue_envelope before it was moved to the red_suitcase.

Negative examples:
input: Isabella entered the hall. Olivia entered the hall. Phone rang. The apple is in the blue_treasure_chest. Olivia exited the hall. Isabella moved the apple to the green_basket. Where does Isabella think that Olivia searches for the apple?
output: green_basket
explanation: Olivia will search for the apple in the blue_treasure_chest because that is where she last saw it. Isabella knows she moved the apple to the green_basket after Olivia left, so she won't think that Olivia will look for it there.; input: Ethan entered the bedroom. Liam entered the bedroom. Phone rang. The eggplant is in the green_cupboard. Liam exited the bedroom. Ethan moved the eggplant to the green_basket. Where is the eggplant really?
output: green_cupboard
explanation: The eggplant is really in the green_basket because that is where Ethan moved it to at the end.