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Definition: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)
Here are the list of step templates and their description:
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Input: question: If four or fewer beer bottles are visible.
Output: | #1 return beer bottles
#2 return number of #1
#3 return if #2 is at most four | NIv2 | task176_break_decompose_questions | zs_opt |
In this task, given a sentence in the English language, your task is to convert it into the Bahasa (Indonesian) language.
Example Input: The Tony Alamo Christian Ministry organization promotes a philosophy and belief system which asserts sex with underage girls and polygamy is acceptable.
Example Output: Organisasi Pendeta Kristen Tony Alamo mempromosikan sebuah filosofi dan sistem akidah yang memaksakan bersenggama dengan gadis dibawah umur dan poligami adalah dapat diterima.
Example Input: On Thursday, air traffic in the whole country was limited due to ash layers on several airports.
Example Output: Pada hari Kamis, lalu lintas udara di seluruhnya harus membatasi terhadap abu yang berlapis pada beberapa bandara.
Example Input: Commissioner of U.S. Customs and Protection also released a statement saying, "Our thoughts and prayers are with the Terry family for their tragic loss."
Example Output: | Komisioner Proteksi dan Pabean A. S. juga sudah mengeluarkan pernyataan bahwa, "Simpati dan doa kami bersama dengan keluarga Terry akibat kejadian tragis ini."
| NIv2 | task557_alt_translation_en_ba | fs_opt |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Example: இந்தியா அல்லது உஸ்பெகிஸ்தானிடமிருந்து அறிவிப்பு வந்த நாளிலிருந்து ஆறு மாதத்திற்கு பிறகு இந்த ஒப்பந்தம் காலவதியாகிவிடும்
Example solution: భారతదేశం లేదా ఉజ్బెకిస్తాన్ నుండి ప్రకటన తర్వాత రోజు నుండి ఆరు నెలల తరువాత, ఈ ఒప్పందం సకాలంలో ఉంటుంది
Example explanation: Correct translation for given sentence. Input sentence means 'After six months from the day after the announcement from India or Uzbekistan, this agreement will be timely' which is the same as the output sentence.
Problem: செயல்படுத்தல் அணுகுமுறை மற்றும் இலக்குகள்:
| Solution: అమలు సంబంధిత వ్యూహం మరియు లక్ష్యాలు: | NIv2 | task1075_pib_translation_tamil_telugu | fs_opt |
Instructions: Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question "What helps plants survive?", using words like "weeds", "vase", "bee" (associated with "plant"), or "first aid", "parachute", "accident" (associated with "survive") etc. Your incorrect answers make the question hard, so these results in good incorrect answers.
Input: Fact: All plants reproduce which includes alternation of generations.
Question: All what reproduce which includes alternation of generations?
Correct Answer: plants.
Output: | babies. | NIv2 | task042_qasc_incorrect_option_generation | zs_opt |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Q: Sentence: 'SAN JOSE , Calif. , Oct. 31 /PRNewswire/ -- Xilinx , Inc. at the Software Defined Radio Technical Conference , to be held at The Marriott Tech Center , November 5 - 9 , 2007 in Denver , Colo .', Argument/Subject 1: 'conference', Argument/Subject 2: 'san jose'
A: | be hold in | NIv2 | task676_ollie_relationship_answer_generation | zs_opt |
Given the task definition and input, reply with output. In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Brick chimneys hide a system that circulates air in and out of the building every _ minutes.
| six | NIv2 | task672_nummersense | zs_opt |
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".
Q: News Headline: {Taylor Swift} claims Denver DJ sexually assaulted her back in 2013
Edit: Hen
Label: Not Funny
A: No
****
Q: News Headline: Maryam Mirzakhani , Only {Woman} to Win a Fields Medal , Dies at 40
Edit: landscaper
Label: Not Funny
A: No
****
Q: News Headline: The legal battle over Trump ’s {immigration} ban , explained
Edit: lawyer
Label: Funny
A: | Yes
****
| NIv2 | task496_semeval_answer_generation | fs_opt |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
One example: My cat won't touch these. My dog, however, chews them and makes a mess all over the carpet and I can't get the shredded sticks out! Messy. Waste of money!
Solution is here: Cat hates them
Explanation: It's a correct summary because the owner's cat hated the product.
Now, solve this: Used on Merrill hiking boots - mixed leather and synthetic. Ineffective.
Solution: | Sprayed boots 3 times, still not noticeably more waterproof | NIv2 | task618_amazonreview_summary_text_generation | fs_opt |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: The Donots are a rock band from Ibbenbüren , founded in Germany in 1993 .
The Donots are a rock band from Germany , formed in 1993 in Ibbenbüren .
Student: | Not paraphrase | NIv2 | task400_paws_paraphrase_classification | zs_opt |
Q: Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
「これは自然に蒸発しており、オーストラリア海上保安庁は、単にこの蒸発を助けるだけである」
A: | "ມັນກໍາລັງລະເຫີຍເອງຕາມທໍາມະຊາດ ແລະ ການເຮັດວຽກຂອງ ເຈົ້າໜ້າທີ່ ຄວາມປອດໄພ ທະເລ ອົດສະຕາລີ ຈະ ຊ່ວຍການລະເຫີຍນັ້ນພຽງເລັກນ້ອຍເທົ່ານັ້ນ." | NIv2 | task1124_alt_ja_lo_translation | zs_opt |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least 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.
Problem:Charlotte entered the lounge. Jayden entered the lounge. The grapefruit is in the green_pantry. Jayden exited the lounge. Charlotte moved the grapefruit to the blue_cupboard. Jayden entered the garden. Charlotte entered the garden. The pineapple is in the red_crate. Charlotte exited the garden. Jayden moved the pineapple to the blue_pantry. Jayden entered the lounge. Abigail entered the lounge. The grapefruit is in the blue_cupboard. Abigail exited the lounge. Jayden moved the grapefruit to the green_pantry. Charlotte entered the dining_room. Jayden entered the dining_room. Phone rang. The celery is in the red_bucket. Jayden exited the dining_room. Charlotte moved the celery to the green_suitcase. Where does Charlotte think that Jayden searches for the celery?
Solution: | red_bucket | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
16. filter all: returns the view itself for the case of describing the whole table
17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
Q: eq { count { filter_eq { all_rows ; affiliation ; public junior college } } ; 7 } = true
A: | select the rows whose affiliation record fuzzily matches to public junior college . the number of such rows is 7 . | NIv2 | task110_logic2text_sentence_generation | zs_opt |
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
______,Slice potatoes very slim and set aside in cold water.,You can either buy bacon sliced or slice it very finely.,Fry until cripsy and golden then set aside.,Dice onion, garlic and parsley.,Put in a bowl the chopped onions, garlic, parsley, bacon, 100g of cheese, and cream.,Add pepper, nutmeg and mix together.,Put a bit of mixture in the baking dish and arrange the sliced potatoes in one layer and add mixture on top and arrange another layer of potaoes.,Continue like that until you're done with the mixture and potatoes.,And sprinkle 50g of cheese on top of the arranged potatoes and and cover.,Bake for 50 minutes or until a knife goes through potatoes with ease.,Sprinkle the remaining 50g cheese and place baking dish in grill to melt and brown the cheese.,And serve with meat of your choice or salad.,And for vegetarians, you just omit the bacon and enjoy with salad. | Preheat oven to 200C | NIv2 | task572_recipe_nlg_text_generation | zs_opt |
Part 1. Definition
A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Part 2. Example
ગાંધીજી ભારતને એક એવા સર્વસમાવેશક રાષ્ટ્ર સ્વરૂપે જોતાં હતાં, જ્યાં વસતિનો દરેક વર્ગ સમાનતા સાથે રહેતો હોય અને દરેક માટે સમાન તક ઉપલબ્ધ હોય
Answer: Gandhiji looked India as a universal nation, where every class of the population lives with equality and is available for each opportunity for everyone
Explanation: Correct translation for given sentence. Input sentence means 'Gandhiji looked India as a universal nation, where every class of the population lives with equality and is available for each opportunity for everyone' which is the same as the output sentence.
Part 3. Exercise
તેમણે જણાવ્યું હતું કે, આ વિવિધ પ્રોજેક્ટ રાજ્યનાં લોકો માટે ‘જીવનની સરળતા’ વધારશે.
Answer: | He said these projects are going to improve "ease of living" for the people of the State. | NIv2 | task1080_pib_translation_gujarati_english | fs_opt |
You will be given a definition of a task first, then some input of the task.
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the small-talk strategy, otherwise output No. small-talk is a cooperative negotiation strategy. It is used for discussing topics apart from the negotiation, in an attempt to build a rapport with the opponent. For example, discussing how the opponent is doing during the pandemic or sharing excitement for the camping trip.
Context: 'I have circulatory issued due to a heart condition and cold quickly. I would appreciate if I could get at least 2 of the firewood. You can have 2 of the food so you won't get hungry. 🙂' 'I was planning on building a big bonfire for the evening. There'd be plenty of room if you wanted to join for warmth. I'm a bit hungry and would appreciate the extra food. You can have all of the water if you'd like. If you warm it by the bonfire, it may be useful to soak in to improve your circulation.' 'I get tired to easy so I probably won't be much fun at a bonfire ☹️. I really do appreciate the offer though. I would think the extra food would do you more good for your party. '
Utterance: 'The extra food would be appreciated. How about if I take just two each of the firewood and food, and you can have the remainder, plus all of the water?'
Output: | No | NIv2 | task357_casino_classification_negotiation_small_talk | zs_opt |
This task is about translating a given English language sentence to French.
[Q]: And this right here, this carboxylate ion right over here, the reason why this thing was a stronger acid than something that just had an OH group is because the conjugate base, the carboxylate ion, is actually resonance stabilized.
[A]: Et cela juste ici, cet ion carboxylate juste au-dessus ici, la raison pour laquelle cette chose était un acide plus fort que quelque chose qui viens d'avoir un groupe OH est parce que le conjugué base, l'ion carboxylate, est en fait résonance stabilisée.
[Q]: I advise you to exchange your "only" for "still", you will live better, you will be happier, you will eat more, you will sleep more and you will surely be more creative.
[A]: Je vous conseille d'échanger votre " que " contre un " encore ", vous vivrez mieux, vous serez plus heureux, vous mangerez plus, vous dormirez plus et je suis sûr que vous serez plus créatifs.
[Q]: Πριν δεν γνώριζαν το κλειδί και
[A]: | Avant vous n'étiez pas au courant de la cléf aussi
| NIv2 | task1689_qed_amara_translation | fs_opt |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Input: אז יש לכם את חוט השדרה, ובחוט השדרה אתם מוצאים רפלקסים, רפלקסים מרובים שיוצרים לולאת קואורדינציה סנסורית מוטורית בין פעילות עצבית בחוט השדרה ופעילות מכאנית.
Output: | Then you have the spinal cord, and in the spinal cord you find reflexes, multiple reflexes that create a sensorimotor coordination loop between neural activity in the spinal cord and mechanical activity. | NIv2 | task1234_ted_translation_he_en | zs_opt |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
[EX Q]: Sentence: Critics like Mr. Murray `` are looking for witches , and people who *T*-68 use computers * to trade are a convenient boogieman , {{ '' }} says 0 *T*-3 J. Thomas Allen , president of Advanced Investment Management Inc. , a Pittsburgh firm that *T*-1 runs a $ 200 million *U* fund that *T*-2 uses index arbitrage .
Word: ''
[EX A]: .
[EX Q]: Sentence: In addition , a big loan that First Boston made {{ *T*-2 }} to Ohio Mattress Co . was n't repaid on time when its $ 450 million *U* junk financing for a buy-out of the bedding company was withdrawn *-1 *T*-3 .
Word: *T*-2
[EX A]: X
[EX Q]: Sentence: A large investor will likely cause the futures market to decline when {{ he }} sells his futures *T*-1 .
Word: he
[EX A]: | PRON
| NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt |
Instructions: 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
Input: What is the part-of-speech tag of the word "24" in the following question: When is the venue that hosted 33 athletics events ( 24 for men and 9 for women ) scheduled to reopen ?
Output: | CD | NIv2 | task382_hybridqa_answer_generation | zs_opt |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Q: [63, 0, 53, -66, -71, -77, 23, -26, 92, -30, -40, -35, -52, -12, -5]
A: | [63, 53, 119, 5, 6, 100, 49, 118, 122, 10, 5, 17, 40, 7] | NIv2 | task125_conala_pair_differences | zs_opt |
Given the task definition and input, reply with output. 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: As Tom DeLay's (Republican member of the U.S. House of Representatives from Texas), alleged ethical lapses began to dominate American political news stories and the Sunday talk shows, have led some Republican members of the Majority Leader’s own party to question the reasoning for his refusal to account for his actions or resign.
Hindi: दोनों क्षेत्रों में दरों में वृद्धि हुई जब तक कि दक्षिणी पक्ष का मूल्यांकन 90 के दशक में गिरना शुरू हुआ और हाल के वर्षों में अंतर काफी बढ़ गया है।
| No | NIv2 | task434_alt_en_hi_answer_generation | zs_opt |
Paraphrase the given questions to have different wording. Your paraphrased questions should have the same answer as the original question. Try to change the sentence as much as possible using synonyms and/or rearranging the structure of the sentence. The questions are in three domains: presidents, national parks, and dogs. Each question has a keyword indicating its domain. Keywords are "this national park", "this dog breed", and "this president", which will be replaced with the name of an actual president, a national park, or a breed of dog. Hence, in paraphrasing, this keyword should also be used the same way. Do not write questions that compare or involve multiple domains. Do not write open-ended or subjective questions (e.g., questions that can be answered differently by different people.) Make your questions specific and concrete. Your question should have the same type of answer as the original question(e.g., if the question is extractive, the paraphrased question should be extractive as well.)
Let me give you an example: Does this dog breed have short legs compared to the rest of its body?
The answer to this example can be: Is the body of this dog breed large compared to its legs?
Here is why: The output has the same meaning and same answer as the original sentence. We changed the first sentence by rearranging the structure of the sentence.
OK. solve this:
What movies with 'dog' in the title have this dog breed appeared in?
Answer: | What films have included this dog breed in them and have the word 'dog' in the title? | NIv2 | task1562_zest_text_modification | fs_opt |
Teacher:Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document 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 article expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? Solve this instance: What is the sentiment of the following document towards the entity Hope Hicks ? Updated at 7:08 p.m. ET
White House communications director Hope Hicks President Trump's longest-serving aide is resigning and will depart in the next few weeks the White House says.
In a White House that has set records for staff turnover (and it isn't even close) the departure of Hicks still came as a shock.
Hicks who has been working with the president for three years managed to stay in his orbit even after many others had been pushed out. President Trump called Hicks "outstanding."
Earlier this month Hicks was deeply involved in the White House's botched handling of domestic abuse allegations against a former top aide to the president. But a White House official insists Hicks ' decision to resign wasn't related to either of those matters.
Another person close to Hicks told NPR the resignation has been in the works for weeks.
"There are no words to adequately express my gratitude to President Trump " Hicks said in the statement. "I wish the President and his administration the very best as he continues to lead our country."
Hicks joined the Trump organization in 2014 — recruited by Ivanka Trump who was impressed by work Hicks had done for her clothing line while working at a New York public relations firm. Hicks was then pulled into the Trump campaign before there even was a campaign becoming de facto press secretary while initially she continued doing work for the Trump Organization.
Student: | Neutral | NIv2 | task420_persent_document_sentiment_classification | zs_opt |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements that are underhandedly offensive. Warning: the examples and instances may contain offensive language.
One example is below.
Q: Living alone rocks. Being sick and living alone sucks. Will bake someone many a baked good for some NyQuil / DayQuil rn.
A: No
Rationale: This is a good example of a post that is not intended to offend. There is no sign of intention to offend and no offensive language is used. This is simply a post about the pitiful state of the poster.
Q: @littleelexx you a bitch tho I know for sure I'm not. You'd get your ass beat by any of my bitches that's fact 😂😂
A: | Yes | NIv2 | task607_sbic_intentional_offense_binary_classification | fs_opt |
Q: A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
மத்திய தொலைத் தொடர்பு துறை அமைச்சர் திரு.
A: | ਮੰਤਰੀ ਮੰਡਲ | NIv2 | task1016_pib_translation_tamil_punjabi | zs_opt |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head causes the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Problem:Head: PersonX accepts PersonX's diploma<sep>Tail: walks on stage
Solution: | No | NIv2 | task1216_atomic_classification_causes | zs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Context: Our prayers are with the students, educators & families at Independence High School & all the first responders on the scene. #PatriotPride— Doug Ducey (@dougducey) February 12, 2016 Question: at which school were first responders on the scene for? Answer: independence high school
Solution: yes
Why? Here, the generated label is 'yes' because the given answer is right for the question.
New input: Context: mother! was balls to the wall crazy in all the best ways. The need to create will always war w/ the love, privacy, & intimacy. # JacquelineJ @ TIFF (@ThatJacqueline) September 10, 2017 Question: what will always be at war with creation needs? Answer: the world cup.
Solution: | no | NIv2 | task241_tweetqa_classification | fs_opt |
Detailed Instructions: In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist multiple wrong answers, we only need a single wrong answer.
Q: (CNN) Russian government officials discussed having potentially "derogatory" information about then-presidential candidate Donald Trump and some of his top aides in conversations intercepted by US intelligence during the 2016 election, according to two former intelligence officials and a congressional source. One source described the information as financial in nature and said the discussion centered on whether the Russians had leverage over Trump's inner circle. The source said the intercepted communications suggested to US intelligence that Russians believed "they had the ability to influence the administration through the derogatory information." OPINION: Trump, home all aloneBut the sources, privy to the descriptions of the communications written by US intelligence, cautioned the Russian claims to one another "could have been exaggerated or even made up" as part of a disinformation campaign that the Russians did during the election.The US intercepted discussions of Russian officials bragging about cultivating relationships with Trump campaign aidesSources caution the claims "could have been exaggerated or even made up"
Question:"The _ could be overstating their belief to influence," said one of the sources.
A: | CNN | NIv2 | task303_record_incorrect_answer_generation | zs_opt |
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answer will be short; it will not be more than a few words.
Passage: Els càlculs suposen que la nana blanca no posseïx rotació. Si tingués rotació, l'equació de l'equilibri hidroestàtic hauria de modificar-se per incloure la força centrífuga prenent un sistema de referència rotatori,[49] ja que per una nana blanca amb rotació uniforme, el límit de massa augmenta molt lleugerament. No obstant això, si la rotació de l'estrella no és uniforme, i no es pren en compte la viscositat, no hi hauria límit de massa per un model de nana blanca en equilibri estàtic, com ho va assenyalar Fred Hoyle el 1947.<[50] Tanmateix, no tots aquests models d'estrelles en rotació són dinàmicament estables.[51]
Question: Què s'hauria de fer amb l'equació de l'equilibri hidroestàtic si la nana blanca tingués rotació? | hauria de modificar-se | NIv2 | task837_viquiquad_answer_generation | zs_opt |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Example: Qui c'è la medusa mortale con le ali ad X.
Output: Aquí esta la medusa ala-x de la muerte.
The Italian sentence is correctly translated into Spanish, because the meaning is preserved.
New input case for you: E quanti direbbero che no, non ce l'ha?
Output: | ¿Y cuántos dirían que no tiene derecho? | NIv2 | task1249_ted_translation_it_es | fs_opt |
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".
--------
Question: Bulgarian: Сложността на този въпрос може да се установи дори само от времето, което зае Вашето изказване., English: The complexity of this issue can be seen just from the length of time you took for your speech.
Answer: yes
Question: Bulgarian: Прекъсване на сесията, English: Adjournment of the session
Answer: yes
Question: Bulgarian: - Report: Bogdan Golik, English: - Report: Bogdan Golik
Answer: | yes
| NIv2 | task273_europarl_classification | fs_opt |
You will be given a definition of a task first, then some input of the task.
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Is NOBODY wrong in the post ? POST : So I have known my girlfriend for around 2 years at this point, we got together around 3-4 weeks ago. recently stress was piling onto me and an exceptionally increasing rate. My closest 3 friends including her have all helped me through a lot recently I have been snapping at them a lot. Not meaning anything I say, I made the mistake of insulting and getting frustrated at a friend constantly insulting them. Then leaving the group chat to prevent any further issues, I proceeded to constantly inform my girlfriend he made a mistake dating me and I am worried I will hurt her during a fit. She added me back to the group and I proceeded to get really pissed at one of my other friends immediately for no reason(I explained and they understood)..I assume it's pent up anger from holding back at my lover. She said " I'll be back..maybe " before leaving. I spent the next two hours trying to contact her.
&#x200B;
I had just sent her a text with some highly personal info a few minutes ago explaining myself letting her know I am sorry for my actions and that I still love her. I am mostly worried that I might be an abusive partner. Am I an asshole and if so is there anyway to fix this and if not how do I prevent myself from becoming one.
Output: | no | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt |
Definition: You are given a statement written in Oriya. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Statement: ଦ୍ୱାପର ଯୁଗର କଥା ଯଶୋଦା ଓ କୃଷ୍ଣଙ୍କ କାହାଣୀ କୃଷ୍ଣ ଲୀଳା, <MASK>ର ବିଭିନ୍ନ ମଠବାଡ଼ିରେ ଅଭିନୀତ ହୁଏ । ବିଶେଷକରି ମାତାମଠରେ । କୃଷ୍ଣ ଓ ଯଶୋଦାଙ୍କର ସେହି କଥା ମନେ ପକାଇବାକୁ ପୁରୀର ମାତା ମଠ ବା ଗୌର ବିହାର ଆଶ୍ରମରେ ଭିନ୍ନ ଭିନ୍ନ ବର୍ଷରେ କେବେ ୫୦୫, କେବେ ୬୦୬ ଆଉ କେବେ ୫୫୫ ପ୍ରକାର ବ୍ୟଞ୍ଜନାଦି ଖାଦ୍ୟ ଭୋଗ କରିଥାନ୍ତି । ପ୍ରତି ବର୍ଷ ଏ ଭୋଗ ସଂଖ୍ୟା ବଦଳିଥାଏ । କୃଷ୍ଣଙ୍କୁ ଏସବୁ ଖାଦ୍ୟ ଅର୍ପଣ କରାଯାଏ । ଗତ କିଛିବର୍ଷ ଧରି ଆଶ୍ରମରେ ଏହି ଅବସରରେ ଶହ ଶହ ପ୍ରକାର ବ୍ୟଞ୍ଜନ ପ୍ରସ୍ତୁତ କରାଯାଉଛି । ଏହି ଆଶ୍ରମରେ ପ୍ରତିବର୍ଷ ୩୦ରୁ ଅଧିକ ଅନ୍ତେବାସୀ ଅନ୍ନବ୍ୟଞ୍ଜନ ପ୍ରସ୍ତୁତ କରି ଶ୍ରୀକୃଷ୍ଣଙ୍କୁ ଭୋଗ ଲଗାଇଥାନ୍ତି ।
Option A: ଶ୍ରୀମନ୍ଦିର
Option B: ମନ୍ଦିର
Option C: ଶ୍ରୀକ୍ଷେତ୍ର
Option D: ପୁରୀ
Output: | ପୁରୀ | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | zs_opt |
Instructions: This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Input: * CAPTCHA: దయచేసి ఎంచుకోండి హౌస్
Output: | Telugu | NIv2 | task1618_cc_alligned_classify_tel_eng | zs_opt |
TASK DEFINITION: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
PROBLEM: I hope for excellent cooperation between the European Parliament, the European Commission and the Member States so that the final version of the communication can be thrashed out.
SOLUTION: Надявам се на отлично сътрудничество между Европейския парламент, Европейската комисия и държавите-членки, за да можем да обсъдим окончателния вариант на съобщението.
PROBLEM: - Attwooll report
SOLUTION: - Bericht: Attwooll (0078/2007)
PROBLEM: In future, there will no longer be 27 national licensing authorities but only 3 licensing zones for licensing plant protection products.
SOLUTION: | В бъдеще вече няма да има 27 национални лицензионни органа, а само три лицензионни зони, които ще лицензират продуктите за растителна защита.
| NIv2 | task272_europarl_translation | fs_opt |
instruction:
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
question:
Question: The antiulcer drug called omeprazole has in its structure:
Options: <0> A benzimidazole heterocycle. <1> A thiol group. <2> A pyrazole heterocycle. <3> A dimethylamino group. <4> A thiozolic heterocycle.
answer:
pharmacology
question:
Question: It is associated with gastric ulcers and cancers:
Options: <0> Clostridium botulinum. <1> Yersinia enterocolitica. <2> Salmonella enterica <3> Helicobacter pylori. <4> Shigella sonnei.
answer:
biology
question:
Question: The type of epistasia that explains the 15: 1 dihybrid phenotypic ratio is:
Options: <0> Double dominant. <1> Simple recessive <2> Recessive dominant double. <3> Double recessive <4> Simple dominant.
answer:
| biology
| NIv2 | task1434_head_qa_classification | fs_opt |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Q: which films did Gary Entin direct?
A: | Geography Club | NIv2 | task615_moviesqa_answer_generation | zs_opt |
Teacher: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Problem: on a sum of money , the simple interest for 2 years is rs . 330 , while the compound interest is rs . 340 , the rate of interest being the same in both the cases . the rate of interest is
Options: a ) 15 % , b ) 14.25 % , c ) 6.06 % , d ) 10.5 % , e ) 11.5 %
Solution: c
Reason: "explanation : the difference between compound interest and simple interest on rs . p for 2 years at r % per annum = ( r ã — si ) / ( 2 ã — 100 ) difference between the compound interest and simple interest = 340 - 330 = 10 ( r ã — si ) / ( 2 ã — 100 ) = 10 ( r ã — 330 ) / ( 2 ã — 100 ) = 10 r = 6.06 % answer : option c"
Now, solve this instance: Problem: the price of a t . v . set worth rs . 40000 is to be paid in 20 installments of rs . 2500 each . if the rate of interest be 6 % per annum , and the first installment be paid at the time of purchase , then the value of the last installment covering the interest as well will be ?
Options: a ) 29997 , b ) 28088 , c ) 27098 , d ) 37500 , e ) 2799
Student: | d | NIv2 | task1419_mathqa_gain | fs_opt |
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
System Reference: where would you like it to be near to?
Original Reference: would you like a hotel that is nearby?.
0
System Reference: little nepal, is located in hayes valley or bernal heights north its address is 925 cortland ave.
Original Reference: little nepal is located at 925 cortland avenue in hayes valley or bernal heights north area.
1
System Reference: can i double check you want a hotel that has internet?
Original Reference: sorry, would you like a hotel that does or does not have internet access?.
| 0
| NIv2 | task1186_nne_hrngo_classification | fs_opt |
Given the task definition and input, reply with output. In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
My family went for a picnic on Sunday. My parents had packed food for us to eat at the picnic. We went to a Mountain which was around 30 miles from my home. It was around 11 am when we reached the mountain. There was a small pond with lots of ducks. My brother and me played for some time in the water. We played hide and seek for some time. My family was having a good time, all of us were chatting, playing and singing. It was around 1 pm. We were hungry now. We washed our hands and took out the food which my parents had packed. My mother laid out the food in separate plates. I served it to everyone. We ate our food very quickly as we were all hungry.The food was delicious. We started playing cards after lunch. It was around 4 pm when we decided to leave. We packed our things and left. It was a fun day for all of us.
Question: Did they stay at the picnic for a long time?
| Yes, 5 hours | NIv2 | task595_mocha_answer_generation | zs_opt |
Teacher:In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the passage can be used to answer the question. Indicate your choice as `a` for Yes or `b` for No.
Teacher: Now, understand the problem? Solve this instance: Question: Which of the films that Ellenshaw produced visual effects for made the most at the box office? Passage:Harrison Ellenshaw (born Peter Ellenshaw, July 20, 1945 in Harrisburg, Pennsylvania) is an American matte painter, following his British-born father Peter Ellenshaw. He started his career at Walt Disney Studios. He later joined George Lucas's effects studio Industrial Light and Magic (ILM), where he produced many of the matte visual effects backgrounds for the films Star Wars (1977) and The Empire Strikes Back (1980). He then returned to Disney to work on the film Dick Tracy (1990), and eventually headed Disney Studio's effects department, Buena Vista Visual Effects (BVVE). He was also visual effects supervisor for Tron (1982), where he had the distinction of being the first person to have that credit in a film.
Student: | b | NIv2 | task233_iirc_link_exists_classification | zs_opt |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Ex Input:
Sentence: `` The American press clamored for many days {{ promising }} President Kennedy would reply to the most vital domestic and foreign problems confronting the United States .
Word: promising
Ex Output:
VERB
Ex Input:
Sentence: Without exception Hino's brothers turned to either one or both of their father's occupations , but Hino {{ showed }} a talent for neither and instead spent most of his time on the beach where he repaired nets and proved immensely popular as a storyteller .
Word: showed
Ex Output:
VERB
Ex Input:
Sentence: A single 24-hr. composite sample had a BOD of {{ 260 }} mg/l , indicating a typical domestic sewage .
Word: 260
Ex Output:
| NUM
| NIv2 | task1168_brown_coarse_pos_tagging | fs_opt |
A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example input: गुरु नानक देव कहते थे गरीबों और जरुरतमंदों की सेवा ही भगवान की सेवा है।
Example output: ਗੁਰੂ ਨਾਨਕ ਦੇਵ ਜੀ ਨੂੰ ਪਰਮਾਤਮਾ ਦੀ ਸੇਵਾ ਅਤੇ ਗਰੀਬਾਂ ਦੀ ਸੇਵਾ ਕਿਹਾ ਜਾਂਦਾ ਹੈ.
Example explanation: Correct translation for given sentence. Input sentence means 'Guru Nanak Dev was called the service of God and the service of the poor.' which is the same as the output sentence.
Q: - जहां प्रत्येक देशवासी का जीवन बेहतर बने और उसका आत्म-सम्मान बढ़े
A: | ਚਿੱਤੋ ਜੇਥਾ ਭਯ - ਸ਼ੂੰਨੋ , ਉੱਚੋ ਜੇਥਾ ਸ਼ਿਰ । ” | NIv2 | task1011_pib_translation_hindi_punjabi | fs_opt |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on the topic.
Input: Consider Input: ভার্সিটি পড়–য়া দামড়া বফের সাথে প্রথম রুমডেট স্বার্থকভাবে সম্পন্ন করার পর ১৬ বছরের নিব্বা তাদের বন্ধুকে বলছে, এত্ত বড়
Output: non-geopolitical
Input: Consider Input: আওয়ামীলীগের ভোটব্যাংক হিন্দু সম্প্রদায় ব্রাহ্মণবাড়িয়া সহ দেশের বিভিন্ন জায়গায় হিন্দুদের ভূসম্পত্তি বেদখল ও মন্দিরসহ ঘরবাড়িতে হামলার সাম্প্রতিক ঘটনায় ক্ষমতাসীন দলটির প্রত্যক্ষভাবে জড়িত থাকার প্রমাণ মিডিয়াতে উঠে এসেছে ইতোঃপূর্বে হিন্দু বৌদ্ধ ও খ্রিস্টান ঐক্য ব্যানারে সংখ্যালঘুদের বিভিন্ন ইস্যুতে আন্দোলন করতে দেখা গেলেও ব্রাহ্মণবাড়িয়া ইস্যুতে এই প্রথম স্বতন্ত্র ভাবে হিন্দুদের রাস্তায় নামতে দেখা যাচ্ছে এই উপমহাদেশের রাজনীতিতে ধর্ম নিরপেক্ষ রাজনীতির সঞ্জীবনী শক্তি হিন্দুরা খোদ ভারতে বিভক্ত হয়ে
Output: geopolitical
Input: Consider Input: দেখুন সুজেন রেপ কেস মনে পরে আসামিরা কোথায়, সুতরাং এসব বলে লাভ কি, মাননীয়া বলেছেন নাটক, সুতরাং আপনিও নাটক ই করছেন
| Output: non-geopolitical
| NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt |
Q: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
#1 return NFL teams
#2 return fight songs of #1
#3 return #1 where #2 is Hail to the Redskins
#4 return area of #3
A: | What area is the NFL team with the fight song "Hail to the Redskins" from? | NIv2 | task184_break_generate_question | zs_opt |
Detailed Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Problem:i am really shocked that this book made it to print. there is not one thing in here worth taking the time to read. save your money and get something by a real scientist. most of what she writes about are just wrong or misleading. her writing style leaves so much to be desired. I was forced to give this at least 1 star because amazon would not, which says alot more than i can say. if you were thinking bout buying this, don't. buy any other science book.
Solution: | Bad review | NIv2 | task929_products_reviews_classification | zs_opt |
In this task, you will be shown a passage and a question in Persian. You need to write an answer in Persian for the question. Try to keep your answers as short as possible.
Example Input: اگر کاشت گل ساناز را در گلدان امتحان می کنید، بهتر است یک گلدان ۸ تا ۱۰ اینچ را برای این کار در نظر بگیرید. برای رشد مناسب گل یک مکان در معرض نور مستقیم را در نظر بگیرید. گل مینیاتوری باید به شکل مستمر آبیاری شود. به گونه ای که خاک آن هرگز خشک نشود. برای مطمئن شدن از وضعیت خاک انگشت خود را در داخل آن فرو کنید. اگر احساس خشکی کردید، فوراً آبیاری را انجام دهید. آب اضافی زیر گلدان را خالی کنید تا ریشه گیاه دچار پوسیدگی نشود.<sep> Question: چه گلدانی را برای کاشت گل ساناز استفاده کنیم؟
Example Output: گلدان ۸ تا ۱۰ اینچ
Example Input: کتر کوپر، مؤسس انجمن تحقیقات هوازی در دالاس تگزاس و همچنین ابداعکننده سیستم امتیاز تأثیر ورزشهای متفاوت میگوید: امتیاز طنابزدن از هیچ ورزش دیگری کمتر نیست. در حال حاضر میلیونها نفر زن و مرد، پیر و جوان در تمام دنیا به طناب بازی مشغول اند و از آن لذت میبرند. طناب بازی فعالیتی است که به شکل ساده اش برای کودکان ۴ تا ۵ سال و به صورت پیشرفته اش برای قهرمانان ورزشی مناسب است. در سال ۱۹۸۰ میلادی سازمان بینالمللی طناب بازی و انجمن طناب بازی کانادا تأسیس شد و در سال ۱۹۹۱ میلادی فدراسیون جهانی طناب بازی تشکیل گردید. از آنجا که طناببازی هم ورزشی هوازیست و هم در حرکت پاها هماهنگی ایجاد میکند، در میان ورزشکاران حرفهای به ویژه بوکسورها و کشتیگیران رواج دارد. تکنیکهای پرش از روی طناب نسبت به سایر فعالیتهای ورزش حرفهای به سادگی آموخته میشود و از این رو افراد به صورت فردی یا گروهی، در سنین مختلف و با تناسب اندام متفاوت میتوانند در آن شرکت کنند. بیشترین اثربخشی طناببازی به عنوان ورزش در حالتیاست که با دیگر فعالیتهای هوازی نظیر پیادهروی، دوچرخهسواری و دویدن به شکل روزمره همراه شود.<sep> Question: مزایای طناب زدن چیست؟
Example Output: طناببازی هم ورزشی هوازیست و هم در حرکت پاها هماهنگی ایجاد میکند،
Example Input: انحراف شست (به انگلیسی: Bunion) یا هالوکس والگوس (Hallux valgus) که در فارسی به آن قوز شست پا و شصت کجی هم گویند، نوعی بدشکلی انگشت شست پا است. هالوکس والگوس یا قوز شست پدیده شایعی در انگشتان پا است و ۹۰٪ موارد آن در زنان اتفاق میافتد. بیرونزدگی مفصل انگشت شست پا از مهمترین بیماریهای انگشتان پا است که در اثر فشار بلندمدتِ نامتعارف به مفصل (مثلاً با پوشیدن کفش تنگ و نامناسب) ایجاد میشود. هرچند پوشیدن «کفشهای نوک باریک» میتواند بیماری را تشدید نماید ولی عامل اصلی زمینه ارثی موجود در خانواده است. ریسک فاکتورهایی که باعث افزایش احتمال بروز انحراف مفصل شست پا میشوند شامل موارد زیر است: صافی کف پا، پروناسیون یا چرخش پا به سمت داخل، آسیبهای قبلی به پا یا شست پا، فعالیتهایی که فشار و آسیب غیرمعمول به شست پا وارد میکنند مانند رقص باله، اختلالات عصب و عضله در پا<sep> Question: چه عواملی باعث ایجاد عارضه شست کج میشود؟
Example Output: | صافی کف پا، پروناسیون یا چرخش پا به سمت داخل، آسیبهای قبلی به پا یا شست پا، فعالیتهایی که فشار و آسیب غیرمعمول به شست پا وارد میکنند مانند رقص باله، اختلالات عصب و عضله در پا
| NIv2 | task467_parsinlu_rc_answer_generation | fs_opt |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Q: و الحقيقة أن الدب القطبي و كلب الاسكيمو أو العقعق و الدب أو أنتم و أنا أو كلابنا نستطيع العبور و الحصول على تلك الخبرة ووضع اللعب جانبا كأمر منفصل.
A: | והעובדה שדב הקוטב וההאסקי, או עקעק ודב או אנחנו והכלבים שלנו יכולים לחוות מראה שמשחק זה דבר נפרד. | NIv2 | task1233_ted_translation_ar_he | zs_opt |
Detailed Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
See one example below:
Problem: A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for Daniel Kang, the post really hit home.
When Kang, a junior studying computer science at the University of Michigan, heard that the refugee pictured and his family were relocating to his hometown of Troy, Mich., he said he knew he had to help.
“I was really inspired by how intelligent he was and I knew a lot of people wanted to welcome him, so I thought, why not it be me?” he said.
On the Humans of New York Facebook page with over 16 million likes — including comments from President Obama — the seven-part picture series’ captions detail one Syrian scientist and his family’s tale of loss after a missile strike destroyed their home, forcing them to to flee to Turkey, now with plans of coming to the United States.
“Everything ended for us that day. That was our destiny. That was our share in life,” the scientist said. Battling stomach cancer, the loss of a home, career and seven family members, the man, whose name remains confidential to protect his identity as a refugee, expressed his hope for a new life in the United States.
“I learned today that I’m going to Troy, Michigan,” he said. “I know nothing about it. I just hope that it’s safe and that it’s a place where they respect science. I just want to get back to work. I want to be a person again. I don’t want the world to think I’m over. I’m still here.”
Knowing that refugees come to the United States with little more than they can carry, Kang quickly organized a crowdfunding campaign to help establish the man in his new home.
In four days, the GoFundMe page has raised over $16K in donations from over 700 people. On Saturday afternoon, actor Edward Norton also began a fundraiser for the scientist, raising even more for the refugee who says he “just wants to be a person again.”
“The response has been overwhelmingly positive,” said Kang. “A lot of people thanked me for doing a nice thing but I really feel like I was doing what anyone else would have done.”
Kang said he’s received many messages from people expressing their gratitude, those who want to reach out to the man personally, as well local companies interested in working with the scientist. This includes invitations to lecture at local colleges, research job opportunities and potential help from local medical facilities in treating the man’s stomach cancer.
“There’s definitely a lot of interest in helping him out,” he said.
The biggest concern, said Kang, are those skeptical of how the money will reach the man.
Kang, who has successfully crowdfunded in the past, is working closely with GoFundMe, the local refugee relocation agency Lutheran Social Services of Michigan, and is in communication with the Humans of New York staff to make sure all funding goes to the scientist.
In the end, Kang said he just hopes the scientist receives the welcome he deserves.
“If I could talk to him right now, I’d just tell him how sorry I am for everything he’s been through and that he’s coming to a great place. One of the things he said that resonated with me the most is that ‘I hope Troy is a place that appreciates science.’
I’d say out of all the cities in Michigan, Troy is the best place to raise a family, be a scientist and we can’t wait to have him.”
Oona Goodin-Smith is a student at Oakland University and a member of the USA TODAY College contributor network. ||||| I saw this story on one of my favorite sites, Humans of New York, and it moved me to tears. This man has suffered profound loss that would crush the spirit of many people and yet he still passionately wants a chance to contribute positively to the world. If we don’t welcome people like this into our communities and empower his dream of making an impact with his life, then we’re not the country we tell ourselves we are. Let’s reject the 'anti-human’ voices that tell us to fear refugees and show this man and his family what Americans are really made of. Let’s show that a country built by the energy and dreams of immigrants still believes in brave people who come here with hope for better life.
Everything we raise here will go to help this family so that the father can get the medical treatment he needs to live and pursue his work, and his family can build a new stable life after their tragedy, and…as the Scientist beautifully expresses…to support his dream of contributing to the world.
Thanks to Humans of New York for sharing these stories. Thanks to the team at CrowdRise for putting this together and figuring out how to get even the credit card transaction fees covered so we can get the maximum to the family.
Thanks to everyone who rallies together to create the power of the crowd. If enough of us kick in the price of two frappucinos, we can probably transform the experience of this family and show them that life can deliver healing and kindness, not just heartbreak.
Thanks to Benevolent, all donations are tax-deductible. We will work with Benevolent to use all donated funds to help this family and will seek to use any excess or unused funds to help the other 11 profiled in the HONY ‘Syrian American’ series.
Edward Norton ||||| DETROIT, MI -- Moved to tears by a Humans of New York feature on a Syrian refugee fleeing to Metro Detroit, Hollywood actor Edward Norton launched an online fundraiser that had raised nearly $450,000 for the widower and his four children as of Thursday afternoon.
"I didn't hear about it, but I want to thank him very much from the humanity perspective," the man told NBC News after hearing about the fundraiser's success. "There are people outside who need that money much more than me."
The man asked NBC to refer to him as "Abu Ammar," a fake named used to protect his relatives who remain in Syria. He's known to many on the Internet simply as "The Scientist," which is also his profession.
The refugee's family was scheduled to arrive in Troy, a Detroit suburb, Thursday. He and four surviving children spent the last two years in Instanbul, Turkey. They fled civil-war-torn Syria after the man's wife and one of his daughters were killed in a missile attack on April 6, 2013.
His is one of 12 families featured by Humans of New York and cleared to resettle in the U.S.
"I learned today that I'm going to Troy, Michigan," the man told Humans of New York. "I know nothing about it. I just hope that it's safe and that it's a place where they respect science. I just want to get back to work. I want to be a person again. I don't want the world to think I'm over. I'm still here."
The story made rounds throughout the Internet and even garnered a response from President Barack Obama's official Facebook page:
As a husband and a father, I cannot even begin to imagine the loss you've endured. You and your family are an inspiration. I know that the great people of Michigan will embrace you with the compassion and support you deserve. Yes, you can still make a difference in the world, and we're proud that you'll pursue your dreams here. Welcome to your new home. You're part of what makes America great.
,Norton, known for his roles in movies like "Fight Club" and "Birdman," wrote in the description of his online fundraiser:
If we don't welcome people like this into our communities and empower his dream of making an impact with his life, then we're not the country we tell ourselves we are. Let's reject the 'anti-human' voices that tell us to fear refugees and show this man and his family what Americans are really made of. Let's show that a country built by the energy and dreams of immigrants still believes in brave people who come here with hope for better life.
(6/7) “I had no problems before the bombing. I think the cancer came from my sadness and my stress. It’s in my... Posted by Humans of New York on Tuesday, December 8, 2015 ||||| ISTANBUL — The grieving refugee who touched hearts as "The Scientist" on the Humans of New York blog only mustered a brief smile when told that a Hollywood star had helped raise $450,000 for him.
Hours before flying to Michigan to start a new life in the U.S. on Thursday, the cancer-stricken Syrian civil engineer glanced down.
"I didn't hear about it, but I want to thank him very much from the humanity perspective," he said after NBC News revealed the crowdfunding appeal. Oscar-nominated actor Edward Norton was moved to tears after reading the refugee's biography on the photography site last week and launched the fundraiser.
"There are people outside who need that money much more than me," The Scientist said, displaying the sort of compassion and humility that helped his story go viral.
The Scientist, who asked NBC News to refer to him as "Abu Ammar" to protect family in Syria, said his life was shattered by a bomb that killed his wife and daughter just under three years ago.
He was later diagnosed with stomach cancer, and has had to care for five remaining children.
They include a teenage son, who is still reeling after watching his mother die, and a daughter who carries inside of her shrapnel from the attack on April 6, 2013.
"When a bomb drops you don't know where it comes from," he said. "There is no question our lives changed after that ... 180 degrees. I am mentally tired, in overwhelming sadness."
“ As long as there are good people in the world … then we can stop this bloodshed”
On Thursday, Abu Ammar and four of his children flew to Troy, Michigan, as part of a United Nations refugee resettlement program.
For about two years, the family had been living close to destitution in Turkey. But the drive to succeed still lingers, Abu Ammar said.
"I've had ambitions since I was a child, and right now I'm still that same child with the same ambitions," he said. "But I still have a message — sometimes when I'm talking to myself I say, 'No, I'm not supposed to die. I need to live long enough to realize my message to humanity.'"
Abu Ammar's story on Humans of New York, a popular blog started in 2010 that spawned a bestselling book, prompted an outpouring of compassion. Even President Barack Obama contributed, calling Abu Ammar and his family an "inspirations" on HONY's Facebook page.
"Yes, you can still make a difference in the world, and we're proud that you'll pursue your dreams here." Obama wrote. "Welcome to your new home. You're part of what makes America great."
Last night President @BarackObama wrote a very sweet welcome note to the scientist in Tuesday's story. pic.twitter.com/ZGrn3gOdR7 — Brandon Stanton (@humansofny) December 10, 2015
Norton, who starred in "Birdman," "Fight Club" and "American History X," set out to help pay The Scientist's medical expenses.
"This man has suffered profound loss that would crush the spirit of many people and yet he still passionately wants a chance to contribute positively to the world," Norton wrote.
The resettlement of Syrian and Muslim refugees in the United States is controversial, especially in the aftermath of attacks by Islamic extremists in Paris and San Bernardino. Some politicians — notably GOP presidential hopeful Donald Trump — have called for a ban on Muslims entering the country.
Abu Ammar told NBC News he didn't know anything about the debate over Muslims and immigration raging in the U.S. He also didn't have a solution to the war raging in his home country.
"I don't like to get into politics because I am a man of science, and I can separate science and politics completely," he said. "But as long as there are good people in the world, and everyone looks into his or her conscience, then we can stop this bloodshed."
Abu Ammar added: "No one benefits from people dying, and wars overall never benefit anybody — so let's hope God can help everyone and put out this fire." |||||
Solution: A Syrian refugee whose moving story went viral earlier this month starts his new life in Troy, Michigan, on Thursday, NBC News reports. The refugee—who wants to keep his real name out of the media to protect family members still in Syria—is known as "The Scientist" on the blog Humans of New York, where he was first profiled. "I learned today that I’m going to Troy, Michigan," The Scientist told HONY. "I know nothing about it. I just hope that it’s safe and that it’s a place where they respect science." According to MLive, The Scientist left Syria in 2013 after a bomb killed his wife and one of his daughters. Since then, he's been diagnosed with stomach cancer and was barely scraping by in Turkey. Despite being "in overwhelming sadness," he and his surviving children are hoping for a new start in the US, he tells NBC. Thanks to his story—which even got the attention of President Obama—The Scientist will have some help to get that new start. NBC reports actor Edward Norton was moved to tears after reading The Scientist's story and started a crowdfunding page that has raised nearly $450,000. "I didn't hear about it, but I want to thank him very much from the humanity perspective," The Scientist says. "There are people outside who need that money much more than me." A Michigan college student was also inspired to help after hearing The Scientist would be moving to his hometown, according to USA Today. His fundraising page has raised more than $16,000. "I’d say out of all the cities in Michigan, Troy is the best place to raise a family, be a scientist, and we can’t wait to have him," Daniel Kang says.
Explanation: This is a good example. The output correctly summarizes the articles.
Problem: TMZ Sports
This is what they're fighting for -- in addition to the $400 million -- the official "Money Belt" ... and it's LOADED with gold and diamonds. We spoke with a rep for the World Boxing… ||||| These crawls are part of an effort to archive pages as they are created and archive the pages that they refer to. That way, as the pages that are referenced are changed or taken from the web, a link to the version that was live when the page was written will be preserved.Then the Internet Archive hopes that references to these archived pages will be put in place of a link that would be otherwise be broken, or a companion link to allow people to see what was originally intended by a page's authors.The goal is to fix all broken links on the web . Crawls of supported "No More 404" sites. ||||| checked into the Century Regional Detention Facility in Lynwood, CA at 8:48PM PST to begin serving her 30 day jail sentence ... according to the L.A. County Sheriff's Department website.As TMZ previously reported, Lindsay is expected to be released within hours of her arrival due to jail overcrowding.Sheriff's spokesman Steve Whitmore has said LiLo might have to spend overnight behind bars ... IF there are several other inmates checking out at the same time. L.A. traffic.For now ... she's still in custody.Shocker,... just hours after checking in. |||||
Solution: | Lindsay Lohan checked into jail at 8:48pm last night to serve her 30-day sentence … and promptly checked out again less than five hours later, around 1:30am, TMZ reports. The gossip site had previously noted that LiLo would most likely be released after mere hours due to prison overcrowding at the Century Regional Detention Facility in Lynwood, Calif. If this experience doesn’t teach her a lesson, we’re not sure what will... (Click to see Lindsay's various courtroom styles.) | NIv2 | task1291_multi_news_summarization | fs_opt |
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Kalgoorlie juga merupakan pusat perkotaan terbesar di Goldfields, dan memiliki sejumlah terbesar gedung-gedung yang rentan terhadap gempa dan sejenisnya.
A: カルグーリーはゴールドフィールズ最大の都市でもあり、そのような地震に弱い建物の数も最大である。
****
Q: Tentara menembak, melewati pengemudi berusia 17 tahun dan membunuh anak laki-laki tersebut.
A: 兵士は銃弾を発射し、それは17歳の運転手を貫通し、少年を殺害した。
****
Q: Inilah sebabnya kasus gempa-gempa tersebut biasanya tidak mengakibatkan korban atau kerugian.
A: | そのため、このようなケースでは通常けがや死亡者は出ない。
****
| NIv2 | task1116_alt_id_ja_translation | fs_opt |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
[Q]: English sentence: 9:3 You have increased the nation, but you have not increased the rejoicing . They will rejoice before you, like those who rejoice at the harvest, like the victorious exulting after capturing the prey, when they divide the spoils .
[A]: 9:3 Quruunta waad kordhisay ah, laakiinse idinku innaba ma sii kordhay rayrayntii. Waxay ku farxi doonaa inaad ka hor, sida kuwa ku farxaan beergooyska, sida guulaysashada guul ka dib markii ay la wareegeen wixii uu ugaadhsaday, marka ay kala qaybiyaan alaabtii boolida ahayd ku.
[Q]: English sentence: [6] The state of you, so you know that what you create events have Mahasempurna His power, and that none has the right to be worshiped but Him.
[A]: [6] Dawladdu waxay idinka mid ah, si aad u ogaato in waxa aad la abuuro dhacdooyinka leeyihiin Mahasempurna xooggiisa, oo mana jiro mid uu xaq u leeyahay in la caabudo laakiin isaga.
[Q]: English sentence: 24 And the cook took up the shoulder, and that which was upon it, and set it before Saul . And Samuel said, Behold that which is left! set it before thee, and eat: for unto this time hath it been kept for thee since I said, I have invited the people. So Saul did eat with Samuel that day.
[A]: | 24 Markaasaa cuntokariyihii wuxuu soo qaaday garabkii iyo wixii ku yiilba, oo wuxuu hor dhigay Saa'uul. Oo Samuu'eelna wuxuu yidhi, Bal eeg wixii laguu kaydiyey, haddaba hortaada dhigo oo cun, waayo, waa laguu hayay ilaa wakhtigii la qawimay, oo anigu waxaan idhi, Dadka waan marti qaaday. Markaasuu Saa'uul maalintaas wax la cunay Samuu'eel.
| NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_LOOK | look opposite right after look left twice | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt |
You will be given a definition of a task first, then some input of the task.
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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. 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.
10, 13, ['2563', '8539', '6343', '2901', '391', '7609', 'A', 'i', 'f', '1481', 'T', 'y', 'H', '8625']
Output: | 1481 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt |
Definition: The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Input: Topic: The vow of celibacy should be abandoned<sep>Argument: Vow of celibacy is not fair to put on any human being because everyone has sexual urges which means the priests can commit evil acts of sex on minors. it should be abandoned.<sep>Keypoint: Celibacy is outdated
Output: | False | NIv2 | task1285_kpa_keypoint_matching | zs_opt |
Instructions: In this task, you need to Translate Czech text to English.
Input: Souprava pro úpravu nebo prevenci príznaku spojených s nedostatkem androgenních steroidu u ženy se zvýšenou nebo podstatne zvýšenou hladinou pohlavníhormon vázajícího globulinu, která obsahuje jinounež orální dávkovací formu testosteronu. Úcinek se projevuje regenerací, zvýšením nebo zlepšením alespon jedné z charakteristik vybraných ze skupiny sestávající ze sexuální touhy, stimulace sexuálních orgánu, schopnosti dosáhnout orgasmu, rozkoše zesexuální aktivity a cetnosti sexuální aktivity. Souprava prípadne obsahuje úcinné množství estrogenu v orální dávkované forme. Dále se popisuje príslušné lécivo vhodné pro místní podání žene užívající orální estrogenovou suplementacní lécbu, které obsahuje množství testosteronu definované výše. Obrázek k anotaci ukazuje zmenu v hladine celkového testosteronu v závislosti na hladine SHBG behem aplikace transdermální testosteronové náplasti (nominální uvolnení 300 .mi.g/den) pacientovi, který soubežne dostává transdermálne estradiol nebo orálne konjugované konské estrogeny.
Output: | A kit for adjusting or preventing the symptoms associated with androgen steroid deficiency in a woman with elevated or substantially elevated levels of globulin-binding globulin that contains another oral dosage form of testosterone. The effect is manifested by regeneration, enhancement or improvement of at least one of the characteristics selected from the group consisting of sexual desire, stimulation of sexual organs, ability to achieve orgasm, pleasure of sexual activity and frequency of sexual activity. The kit optionally comprises an effective amount of estrogen in oral dosage form. Further disclosed is a corresponding medicament suitable for topical administration to a woman using an oral estrogen supplementation that contains the amount of testosterone defined above. The annotation picture shows a change in total testosterone level depending on the SHBG level during the application of a transdermal testosterone patch (nominal release of 300 µg / day) to a patient receiving concomitant transdermal estradiol or orally conjugated equine estrogens. | NIv2 | task842_para_pdt_cs_en_translation | zs_opt |
In this task, you need to count the number of nouns/verbs in the given sentence.
Q: Sentence: 'A train depot with one train in the fog'. Count the number of verbs in this sentence.
A: | 0 | NIv2 | task155_count_nouns_verbs | zs_opt |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Example: Sentence 1: The sum of all chemical reactions that take place within an organism is known as metabolism. Sentence 2: Metabolism is the sum total of all chemical reactions performed by an organism.
Example solution: entails
Example explanation: Sentence 2 gives out supporting information about the Metabolism hence it is correct
Problem: Sentence 1: The position characteristic of motion could change without changing the velocity of an object. Sentence 2: D Constant Velocity Motion Full Screen Animation In the above animation we say that the displacement is positive because the changes in position over which the object moves are toward larger and larger coordinate positions.
| Solution: neutral | NIv2 | task1554_scitail_classification | fs_opt |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
One example: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly.
Solution is here: Marcus was happy to have the right clothes for the event.
Explanation: Marcus is buying clothes for a business event.
Now, solve this: Title: Cornered. Sentence 1: The decision made me feel cornered. Sentence 2: He told me I only had two options. Sentence 3: I could go to him or I could go home and never see him again. Sentence 4: I was confused and very sad.
Solution: | I told him I would go to him like he wanted. | NIv2 | task216_rocstories_correct_answer_generation | fs_opt |
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.
[EX Q]: Je zou beter worden in een grap omdat je baas het vertelde.
[EX A]: Je zou een grapje maken omdat je baas het vertelde.
[EX Q]: U kunt een buurtkaart gebruiken om uw weg te vinden HOME.
[EX A]: Je kunt een plattegrond gebruiken om je weg te vinden.
[EX Q]: Als je de trap afritst, kun je een kist laten rocken.
[EX A]: | Als je van de trap valt, kun je een been laten zinken.
| NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt |
You are provided with a user review of a restaurant. Your task is to classify the given review into two categories: 1) positive, and 2) negative based on its content.
--------
Question: This place really hits the spot after a long day of shopping on Newbury st. I finally get to sit down after walking for hours, eat some good sushi , drink some good miso soup and re-energize for more shopping.Even though the sushi men at this place can be a little creepy, I love this place and it will forever be my lunch spot when i'm shopping in the areaxoAlena
Answer: positive
Question: Weekend brunch is awesome, best in Boston. $25 per person is high but kids are free and the seating is relaxing and quite. Nice to enjoy an extra coffee with a second helping of eggs.
Answer: positive
Question: We all have one thing in common, we're all in the market for a car and want to find what fits our needs and budgets best. I heard Beaverton Toyota was the best place in Oregon to purchase a new car. Only half true. My partner and I walked inside and asked for assistance near the Toyota Corolla section and said someone would be out to meet us shortly. We stood by the car of our choice for 20 minutes in the pouring rain and no one came. There was another salesman helping someone and we asked him if he could send someone to help us. Another 20 minutes pass and no one shows up. I call the dealership and the receptionist was very kind and apologized many times and someone was out within 5min. I told the salesman I wasnt looking to buy today and that I wanted to look at my options. We took the car I wanted for a test drive and I absolutely loved it. The car felt planted, even on wet surfaces. The route the salesman took us on had l sorts of turns and speeds to get a feel of the car. We went inside and took down my information. He asked if I wanted to buy the car today. I repeated myself and told him I was only looking for today. He started getting aggressive and intimidating about making the sales. He kept disappapearing every couple minutes, even while we were talking. Broadway Toyota may have a state of the art facility and greatest selection, but their service is absolutely terrible and not worth buying my car there.
Answer: | negative
| NIv2 | task746_yelp_restaurant_review_classification | fs_opt |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
و شيوه هاى كه اونها بكار برده بودند اين بود كه دخترها رو جعبه ها يا آگهى هاشون نشون مى دادند ، و طرحهاى گل گلى همه جاى اجاقها بود و به رنگهاى صورتى و بنفش روشن بودند ، رنگهاى كاملاً مختص به جنسيت زنانه ، اينطور نيست ؟
| E questo l'hanno fatto mettendo solo bambine sulle scatole o negli spot, c'erano stampe floreali su tutto il forno ed era disponibile in rosa e viola colori specifici per le femmine, giusto? | NIv2 | task1271_ted_translation_fa_it | zs_opt |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a living room scene where two people are seated and one has their foot on the coffee table'. Reverse all words of length '2' in the given sentence.
Student: | a living room scene where two people are seated and one has their foot no the coffee table | NIv2 | task378_reverse_words_of_given_length | zs_opt |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
PROBLEM: אז אולי "" היסטוריה לא חוזרת על עצמה, "" אך לפעמים היא מתחרזת עם עצמה "". היום, התפוקה היא בשיא כל הזמנים, ולמרות השפל הגדול, היא גדלה מהר יותר בשנות האלפיים מאשר היא גדלה בשנות ה-90 'של המאה העשרים, שנות התשעים הרועמות, והיא הייתה מהירה יותר מאשר בשנות ה-70' או ה-80 '.
SOLUTION: Może "" historia się nie powtarza, ale czasami się rymuje "". Obecnie wydajność osiąga rekordową wartość i pomimo wielkiej recesji i w pierwszej dekadzie XXI w. wzrosła szybciej niż w latach 90. XX w., a wzrost był szybszy niż w latach 70. i 80.
PROBLEM: מדעו? מפני שאנו מכניסים מעכבי-בעירה לכל דבר. ויש לנו תקנות עלובות לגבי כימיקלים רעילים.
SOLUTION: To dlatego, że wszystko pokrywamy tymi substancjami i mamy słabe regulacje prawne dotyczące toksycznych chemikaliów.
PROBLEM: תוכלו לראות כאן, בתמונה זו, כוכבי-הלכת הקטנים שולטים.
SOLUTION: | Jak widzicie, małe planety dominują na wykresie.
| NIv2 | task1112_ted_translation_he_pl | fs_opt |
Part 1. Definition
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Part 2. Example
Rope and its Usage
Answer: Intambo nomsebenzi ewenzayo.
Explanation: 'Intambo' means rope, 'nomsebenzi ewenzayo' roughly translates to 'the work it does', which is a native way of phrasing it.
Part 3. Exercise
When manoeuvring in a harbour both anchors should always be ready for letting go immediately.
Answer: | Xa kucetywa kwizibuko lendawo ezimbini zokuma. | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt |
Q: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. The four incorrect answers are other holding statements. You should find the correct option. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.
to release medical records to law enforcement for investigative purposes does not preclude the use of the records in a criminal prosecution resulting from the investigation. The purpose for which medical information is released is not necessarily a limitation on the use of the information, especially when the purpose and the use are closely related. The important focus is on the concept of confidentiality. When Demaray consented to the hospital’s release of his medical records to Deputy Miller, he destroyed the confidentiality between him and his doctor by allowing the information to be communicated to a third party. See 1 McCormick on Evidence § 103, at 413 (stating patient’s disclosure of the information waives the privilege); State v. Randle, 484 N.W.2d 220, 222 (Iowa Ct.App.1992) (<HOLDING>). Even though Dema-ray retained the right to
Holding statements: (A) holding no reasonable expectation of privacy in medical records because of statutory exception to physicianpatient privilege in homicide trials (B) holding that the former wife did not waive her attorneyclient privilege simply because the credibility of her claim that she relied on her husbands representations could be impeached by deposing her former attorney (C) holding that threatening employee to mind her own business investigating her videotaping her without her permission and forcing her to take polygraph could not be considered adverse employment actions because they had no effect on conditions of employment (D) holding that every citizen has a constitutional right of privacy in his or her medical records (E) holding victim waived physicianpatient privilege by authorizing her doctor to release her medical records to the department of criminal investigation because the information contained in her medical records was no longer confidential between herself and her physician
A: | (E) | NIv2 | task268_casehold_legal_answer_generation | zs_opt |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Let me give you an example: Timothy likes to play sports. He spends his time after school playing basketball and baseball. Sometimes Timothy pretends he is a famous baseball pitcher for his favorite team with his friends. He plays with his friends Mandy and Andrew. Timothy also plays pretend when he is alone. He has an imaginary friend named Sean. Sean is an elephant who watches television with Timothy. Mandy likes playing baseball but she also likes to paint. Mandy's favorite class at school is art. She likes making pictures of flowers. Her teacher says she is a good artist. She painted a picture of a tree for her teacher. There were red and yellow leaves on it. It had apples on it. When Andrew goes home after baseball, he likes to eat a snack. He eats carrots and bananas. If he is a good boy his mom, Mrs. Smith, sometimes gives him milk and cookies. Afterwards, Andrew finishes his homework. <sep>Who does Timothy play with?<sep>Basketball and baseball
The answer to this example can be: No
Here is why: Based on the passage Timothy plays with his friends Mandy and Andrew. So, the given answer is incorrect and the output should be "No".
OK. solve this:
Paul put the despised watch away And laid out before him his array Of stones and metals, and when the morning Struck the stones to their best adorning, He chose the brightest, and this new watch Was so light and thin it seemed to catch The sunlight's nothingness, and its gleam. Topazes ran in a foamy stream Over the cover, the hands were studded With garnets, and seemed red roses, budded. The face was of crystal, and engraved Upon it the figures flashed and waved With zircons, and beryls, and amethysts. It took a week to make, and his trysts At night with the Shadow were his alone. Paul swore not to speak till his task was done. The night that the jewel was worthy to give. Paul watched the long hours of daylight live To the faintest streak; then lit his light, And sharp against the wall's pure white The outline of the Shadow started Into form. His burning-hearted Words so long imprisoned swelled To tumbling speech. Like one compelled, He told the lady all his love, And holding out the watch above His head, he knelt, imploring some Littlest sign. The Shadow was dumb. <sep>What types of stones were Paul's watch adorned with?<sep>Beryls
Answer: | Yes | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
One example is below.
Q: Article: Homework can put you in a badmood , and that might actually be a good thing. Researchers from the University of Plymouth in England doubted whether mood might affect the way kids learn. To find out the answer, they did two experiments with children. The first experiment tested 30 kids. Someshapes were hidden inside a different, larger picture. The kids had to find the small shapes while sitting in a room with either cheerful or sad music playing in the background. To test their mood, the scientists asked the kids to point to one of five faces, from happy to sad. Children who listened to cheerful music tended to point to the smiley faces while the others pointed to the unhappy ones. The researchers found that sad kids took at least a second less to find the small shapes. They also found an average of three or four more shapes. In the second experiment, 61 children watched one of two scenes from a film. One scene was happy, and the other was sad. Just like in the first experiment, kids who saw the sad scene acted better compared to the others. The researchers guessed that feeling down makes people more likely to focus on a problem or difficult situation. Not all scientists agree with them, however. Other studies argued that maybe, that cheerful music in the first experiment distracted kids from finding shapes. While scientists work on finding out the answers, it still might be wise to choose when to do your tasks according to your mood. After eating a delicious ice cream, for example, write an essay.
Answer: whether mood affects their learning ability
A: Researchers did experiments on kids in order to find out _ .
Rationale: It is clearly mentioned in the article that to the check effect of mood on children is the main purpose of the experiment.
Q: Article: Tea, the most important of English drinks, is a relative latecomer to British shores. Although the custom of drinking tea dates back to the third millennium BC in China, it was not until the mid 17 th century that tea first appeared in England. Afternoon tea was introduced in England by Anna, the seventh Duchess of Bedford, in the year 1840. The Duchess would become hungry around four o'clock in the afternoon. The evening meal in her household was served fashionably late at eight o'clock, thus leaving a long period of time between lunch and dinner. The Duchess asked her servant to bring a tray of tea, bread, butter and cake to her room during the late afternoon. This became a habit of hers and she began inviting friends to join her. This pause for tea became a fashionable social event. During the 1880's upper class and society women would change into long gowns , gloves and hats for their afternoon tea which was usually served in the drawing room between four and five o'clock. Traditional afternoon tea consists of a selection of dainty sandwiches, scones served with cream and jams. Cakes and pastries are also served. Tea grown in India or Ceylon is poured from silver teapots into delicate bone china cups. Nowadays, however, in the average suburban home, afternoon tea is likely to be just a biscuit or small cake and a mug of tea, usually produced using a teabag.
Answer: Afternoon tea, a very British tradition
A: | The title of the passage is _ . | NIv2 | task649_race_blank_question_generation | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
['piątek is the word for Friday in Polish', 'You say Friday in Polish by piątek.']
Solution: SIMILAR
Why? The classified label of this sentence is a good example since both the sentences share the same RDF structure [['Polish', 'FRIDAY_FIFTH_DAY', 'piątek']] and are essentially conveying the same thing.
New input: ['The address, 11 Diagonal Street is located in South Africa and Jacob Zuma is a leader in Asian South Africans.', 'Chevrolet was the manufacturer on June 22nd.']
Solution: | DISSIMILAR | NIv2 | task1408_dart_similarity_classification | fs_opt |
Detailed Instructions: In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', corresponding to the choice number of the selected sentence. If sentence X agrees with sentence Y, one's correctness follows from the other one. If sentence X disagrees with sentence Y, they can not be correct at the same time.
Problem:Statement: If you don't have your own equipment it is easy to buy at the resort. Choices: 1. Most visitors chose to buy their equipment at the resort. 2. There is equipment for sale at the resort. 3. Visitors must bring all necessary equipment, as it cannot be bought at the resort.
Solution: | 1 | NIv2 | task201_mnli_neutral_classification | zs_opt |
Detailed Instructions: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Q: Context : Solar Turbines Incorporated, a wholly owned subsidiary of Caterpillar Inc., designs and manufactures industrial gas turbines for on- and off-shore electrical power generation, for marine propulsion and for producing, processing and transporting natural gas and oil.
Answer : Caterpillar Inc.
A: | What company is Solar Turbines part of? | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt |
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
2019-ലെ അധ്യാപക കേഡര് സംവരണ ഓര്ഡിനന്സിന് മന്ത്രിസഭയുടെ അംഗീകാരം | Cabinet Cabinet approves reservation in Teachers Cadre Ordinance, 2019 | NIv2 | task1022_pib_translation_malayalam_english | zs_opt |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
المجتمع يرى, لازالت تعمل
Output: | La comunidad estaba a la expectativa. Aún funciona. | NIv2 | task1232_ted_translation_ar_es | zs_opt |
Definition: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Input: Article: Have you got any wonderful plans for your coming winter vacation? Here are some wonderful films for you to kill time.
Question: This passage aims to _ .
Options: (A) make comments on films for a cinema (B) introduce films for a film corporation (C) recommend several films for fun (D) advertise several films for a website
Asnwer: A
Output: | Yes | NIv2 | task310_race_classification | zs_opt |
Given the task definition, example input & output, solve the new input case.
In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Example: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
First we select the student's id and city of their address. Next, to find where each student lived we must join the "Addresses" table with the "Student_Addresses" table on rows with the same "address_id". Finally, we want to return the student address with the highest monthly rent. This is a good example.
New input case for you: Count the number of documents with expenses.
Output: | SELECT count(*) FROM Documents_with_expenses | NIv2 | task107_splash_question_to_sql | fs_opt |
Instructions: In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Input: Have you ever try Mexican food?
Output: | I've tried some of it | NIv2 | task565_circa_answer_generation | zs_opt |
Teacher: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Solution: E eu continuo a pensar que o transporte é o centro deste universo.
Reason: The Farsi sentence is correctly translated into Portugese, because the meaning is preserved.
Now, solve this instance: سال گذشته ، چالشی سخت تر منتشر کردیم.
Student: | No ano passado, lançámos um desafio ainda mais difícil. | NIv2 | task1273_ted_translation_fa_pt | fs_opt |
Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
Q: Question: what college did dale earnhardt go to?
A: | what collage did dale earnhardt sr go to? | NIv2 | task442_com_qa_paraphrase_question_generation | zs_opt |
Given the task definition and input, reply with output. You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.
Person1: Julia , I would like to have a word with you . Have a seat .
Person2: Thank you .
Person1: According to your performance , I decided to give you a salary increase . From next month , there will be a 2,000 yuan raise to your salary . Although your first raise might not sound considerable , the company believes that with your ability , sooner or later you'll get a better raise .
Person2: Thank you very much . Mr . George . As a newcomer , I understand that you have your consideration and I am satisfied with the raise .
Person1: I think you deserved this .
Person2: Thank you again . I'll keep doing my best .
| No emotion,No emotion,No emotion,happiness,No emotion,happiness | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt |
instruction:
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.
question:
['r', 'z', 'u', 'D', '3449', 'E', 'f', 'w', '1627', '4093', '955', 'i', 's', 'R', 'b', '9773', '2169', 'M', '9305', '4775']
answer:
36146
question:
['M', '5201', '2787', 'z', '9465', 'X', 'X', '4017', '8305', 'y', '6897', 'y', '6045', '9863', 's', 'd', '3611', 'l', 'd']
answer:
56191
question:
['t', 'B', 'B', 's', '2193', 'o', 'W', '8797', '5951', '935', '2403', 'o']
answer:
| 20279
| NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt |
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Example input: Will this remove the property from city taxes?
Example output: No
Example explanation: The comment here is just a normal question without any indecent words and categorized as not obscene. Hence, it is a positive example
Q: Nope. Just insatiable eclectic curiosity.
A: | No | NIv2 | task1721_civil_comments_obscenity_classification | fs_opt |
Detailed Instructions: In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
See one example below:
Problem: @USER Someone should've taken "this piece of shit to a volcano."
Solution: OFFENSIVE
Explanation: tweet contains offensive language.
Problem: @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER @USER mine I tell him if you act like antifa I will knock your block...you wanna get bad...i dont care how handicap I will take you down
Solution: | NOT | NIv2 | task286_olid_offense_judgment | fs_opt |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Example: Jag förklarar debatten avslutad.
Example solution: Swedish
Example explanation: Input sentence is in Swedish language.
Problem: När det gäller de kommande åtgärderna avseende stödåtgärder inom järn- och stålindustrin, som träder i kraft från och med juli 2002, kommer vi att kräva att man fortsätter tillämpa stränga regler, vilket är ett behov som även branschen själv verkar instämma i.
| Solution: Swedish | NIv2 | task315_europarl_sv-en_language_identification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example: I've read this book with much expectation, it was very boring all through out the book
Solution is here: Negative
Explanation: Review writer does not like the book because it was boring, therefore it is a negative review.
Now, solve this: I am pretty familiar with the great jazz singers, though not a great jazz fan.A friend shared this with me and I was blown away.Now everyone has different tastes, but I have always thought Nina Simone the best. The sheer volume of Nina's work gives her an advantage in the expanse of material.But vocally, and in terms of phrasing and lyrics Gloria is also great.And yet she was contemporary more or less with most of the great jazz singers of her era, being born about 8 years after Ella Fitzgerald.Fame is fickle though and for whatever reason Gloria remains way underappreciated.I love all of her songs on this cd.In one she sings like a Buddhist about how everyone gets older, everything recedes into the past in a way that transcends most pop song ditties to say the least.It is in a class with Nina's Who Knows Where the Time Goes.
Solution: | Positive | NIv2 | task493_review_polarity_classification | fs_opt |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Teacher: Now, understand the problem? Solve this instance: Sentence 1: The bride and the groom are staring into each others eyes as the preacher reads them their wedding vows. Sentence 2: The bride and groom are looking into the audience.
Student: | The bride and groom are happy. | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt |
Part 1. Definition
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Part 2. Example
♫ עם הכוח לעמוד ♫ ♫ בחצותה את הגבול ♫ ♫ היא אמרה, "" אתם תגדלו חופשיים על האדמה הזו "" ♫ ♫ נשים של תקווה ♫ ♫ נשים של שינוי ♫ ♫ נשים של מלחמה וכאב ♫ ♫ אני יכולה להרגיש את הכוח שלכן ♫ ♫ במילים אלו היא אמרה ♫ ♫ אם אתן מרגישות חסרות ישע ♫ ♫ עיזרו למישהו ♫ ♫ אם אתן מרגישות חסרות ישע ♫ ♫ עיזרו למישהו ♫ ♫ אף אחד לא באמת יודע ♫ ♫ כמה רחוק הן תלכנה ♫ ♫ כדי להשאר בחיים ♫ ♫ אף אחד לא באמת יודע ♫ ♫ כמה רחוק הן תלכנה ♫
Answer: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśli czujesz się bezsilna pomóż komuś Nikt naprawdę nie wie jak daleko pójdą by dalej żyć Nikt naprawdę nie wie jak daleko pójdą
Explanation: The Hebrew sentence is correctly translated into Polish, because the meaning is preserved.
Part 3. Exercise
והנה ג 'יין גודול, יוצרת את התקשורת הייחודית לה, צולם בידי ניק ניקולס.
Answer: | I Jane Goodall, tworząca swoją własną specjalną więź, sfotografowane przez Nicka Nichols. | NIv2 | task1112_ted_translation_he_pl | fs_opt |
Q: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Context: the Bridger–Teton National Forest in the Wind River Range Link Information: Bridger–Teton National Forest is located in western Wyoming, United States. Question: In what state is the national forest located that includes the Wind River Range?
A: | Answer: Wyoming | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt |
Detailed Instructions: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Croatian. 3) Quantities like millions or billions should be translated to their equivalent in Croatian language 4) Note the input is all case-sensitive except for special placeholders and output is expected to be case-sensitive. 5) The output must have Croatian characters like Ž or č and the output must preserve the Croatian language characters. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
Problem:They were tired of ghost dances.
Solution: | Umorili su se od plesa duhova. | NIv2 | task1365_opustedtalks_translation | zs_opt |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Q: カットしてそろえたらトランプを上に
A: | E anche lei, tagli il mazzo e lo tiri su. | NIv2 | task1096_ted_translation_ja_it | zs_opt |
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".
Let me give you an example: Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the event next week .
The answer to this example can be: Yes
Here is why: We need to check if the answer is yes or no based on the given sentence-1 and sentence-2. Both the sentences give the same meaning, and so the output is a yes.
OK. solve this:
Sentence-1: These are the cheapest I've found so far.<sep>Sentence-2: I would consider somewhere cheaper .
Answer: | Yes | NIv2 | task566_circa_classification | fs_opt |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the other-need strategy, otherwise output No. other-need is a selfish negotiation strategy. It is used when the participants discuss a need for someone else rather than themselves. For instance, describing the need for firewood to keep the kids warm.
Context:
Utterance: 'hi there🙂'
No
Context: 'so you'll get 3 food, 1 firewood and I'll get 2 firewood and 3 water?' 'correct' 'ok I can do that. after the next message I am happy to send over the proposal'
Utterance: 'sure thing'
No
Context: 'I'm excited too! I am an avid fisherman so I can't wait to catch plenty of fish for us to eat.' 'Do you need extra firewood to cook the fish? I have a bunch.' 'I do need a little firewood to cook the fish. However, it's so hot outside that I may get dehydrated. '
Utterance: 'Ah, so you want some extra water too? I have a lot of lemonade mix for the kids so I'll need water for them.'
| Yes
| NIv2 | task355_casino_classification_negotiation_other_need | fs_opt |
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: tipping my friend/roommate 16% when he was our waiter ACTION2: pouring hot water on my "friend" | yes | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
One example is below.
Q: در ابتدا، خدا آسمانها و زمین را آفرید.
A: In the beginning God created the heaven and the earth.
Rationale: This is a good example. The above sentence is correctly translated from Persian to English.
Q: و آن مرد، ایشان را به خانه یوسف درآورده، آب بدیشان داد، تا پایهای خود را شستند، و علوفه به حماران ایشان داد.
A: | And other money have we brought down in our hands to buy food: we cannot tell who put our money in our sacks. | NIv2 | task654_bible_fa_en_translation | fs_opt |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes more sense.
Title: Fancy Dress. Sentence 1: Kate bought a new dress for homecoming. Sentence 2: It was expensive but she really liked it. Sentence 3: The night of the dance Kate noticed someone else wearing it. Sentence 4: They both matched almost exactly the same. Choices: a. They read off the names and Megan had won! b. Kate was embarrassed and tried to stay on the other side of the room.
Output: | b | NIv2 | task213_rocstories_correct_ending_classification | zs_opt |
Definition: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: それらは巨大な湾に集まって、大洋からの潮流に出会う。
Output: | ពួកគេប្រមូលនៅក្នុងឈូងសមុទ្រធំនិងជួបជាមួយលំហូរលិចទឹកពីសមុទ្រ។ | NIv2 | task1121_alt_ja_khm_translation | zs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). There can be instances with no named entities, then return 'None'.
En daarom wordt er in Changli nu aan een nieuwe kerk gebouwd.
Solution: Changli: B-LOC
Why? In the given sentence, Changli is identified as the location entity.
New input: Net als zijn voorganger kreeg de nieuwe Previa , die andermaal een concurrent voor onder meer de Renault Grand Espace , de Chrysler Grand Voyager en de Ford Windstar wordt , een nogal futuristisch ogend koetswerk .
Solution: | Previa: B-MISC, Renault: B-MISC, Grand: I-MISC, Espace: I-MISC, Chrysler: B-MISC, Grand: I-MISC, Voyager: I-MISC, Ford: B-MISC, Windstar: I-MISC | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt |
Instructions: This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning types are illustrated in the 'positive examples' field) and also have a variety of answer types (spans, numbers, dates). A span is a continuous phrase taken directly from the passage or question. In such questions, the answer spans are recommended to be five words. Questions with answer type "number", are expected to start with "How many". For instance, "How long did an event last?" can be phrased as "How many years did an event last?". To increase diversity, try to create more questions for which the answer will be multiple spans. Please create questions that require AT LEAST 2 arithmetic operations as illustrated in the 'positive examples' field. You are encouraged to try DIFFERENT COMBINATIONS of operations and not just limit to the combinations shown in those examples. The more challenging questions you create, the better it is.
Input: Passage: Hoping to end their two-game skid, the Titans flew to Lincoln Financial Field for a Week 11 fight with the Philadelphia Eagles. In the first quarter, the Titans drew first blood as QB Vince Young completed a 14-yard TD pass to TE Ben Troupe. The Eagles would respond with kicker David Akers completing a 42-yard field goal. In the second quarter, Akers kicked a 38-yard field goal for Philadelphia, while kicker Rob Bironas got a 36-yard field goal for Tennessee as time ran out on the half. In the third quarter, the Titans offense went into overdrive, as RB Travis Henry ran 70-yards for a touchdown, while CB Pacman Jones returned a punt 90 yards for a touchdown. In the fourth quarter, even though QB Jeff Garcia completed a 5-yard touchdown pass to TE L.J. Smith, Tennessee managed to seal the deal with OLB Keith Bulluck returning a fumble 16 yards for a touchdown. With the win, the Titans improved to 3-7.
Output: | How many field goals of at least 30 yards did Akers make? | NIv2 | task026_drop_question_generation | zs_opt |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list.
Q: [[-18, 27, -46, -22, 10], [1, -5, -6, 48], [12, 40, 46, -44, -19], [-11, -35, -50, -50, -7], [-6, 36, 38], [9, -8, 24], [25, 22, 37, 39, 50], [7, 27, -19], [-6, -4, -44], [49, -19, 32, 50, 23], [3, 19], [-25, -24, 30, 40, -19]]
A: | [-182160, -288, -971520, 2500, -8208, -192, 1100, 0, -1056, 1600, 0, -28800] | NIv2 | task851_synthetic_multiply_evens | zs_opt |
Given the task definition and input, reply with output. Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Question1: What are different ways to generate a B2B sales lead in India?, Question2: What are the best ways to generate B2B leads on a low budget?
| No | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt |
Given the task definition, example input & output, solve the new input case.
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
Example: ['hey', 'everybody', 'ivan', 'from', 'weights', 'and', 'biases', 'here', 'in', 'this', 'video', "i'd"]
Output: ['CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'CASE_DIFF', 'UNKNOWN_TYPE_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF']
This sentence is a good example since the input stream is a grammatically incorrect statement and the output labels correctly classify the words that were incorrect.
New input case for you: ["we've", 'defined', 'the', 'notion', 'of', 'a', 'projection', 'onto', 'a', 'subspace', 'but', 'I', "haven't", 'shown', 'you', 'yet', 'that', "it's", 'definitely', 'a', 'linear', 'transformation', 'nor', 'have', 'I', 'shown', 'you', 'that', 'if', 'you', 'know', 'a', 'basis', 'for', 'its', 'subspace', 'how', 'do', 'you', 'actually', 'find', 'the', 'projection', 'onto', 'it', 'so', "let's", 'see', 'if', 'we', 'can', 'if', 'we', 'can', 'make', 'any', 'progress', 'on', 'that', 'here', 'so', "let's", 'say', 'I', 'have', 'some', '', 'subspace', "let's", 'say', 'V', 'is', 'a', 'subspace', 'subspace', 'of', 'RN', 'and', "let's", 'say', "I've", 'got', 'some', 'basis', 'vectors', 'for', 'V', 'so', "let's", 'say', 'these', 'are', 'my', 'basis', 'vectors', 'basis', 'vector', '1', '2', '2']
Output: | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'] | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: ['t', '9279', 'd', 'n']
Student: | 9279 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt |