task_name
stringclasses 645
values | id
stringlengths 40
41
| source
stringlengths 62
335k
| target
stringlengths 0
13.8k
|
|---|---|---|---|
task1714_convai3_sentence_generation
|
task1714-41d67ce03ee14c83b6db2d8d819516f0
|
You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.
User: What different types of electronic skeet shooting games are available?
Computer: would you like to know different types of it
|
yes along with reviews of each and comparison informative
|
task067_abductivenli_answer_generation
|
task067-69425e14949f418199eebd3e378b5aa3
|
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Beginning: When a new girl starts attending Alex's school he thinks she's pretty. Ending: Alex is kind of glad because he hated pretending to be a feminist
|
She likes feminists and has a boyfriend.
|
task155_count_nouns_verbs
|
task155-b9fd46149d384322bedd24b570231166
|
In this task, you need to count the number of nouns/verbs in the given sentence.
Sentence: 'A man doing a trick on a skateboard around a group of people'. Count the number of verbs in this sentence.
|
1
|
task600_find_the_longest_common_substring_in_two_strings
|
task600-f17d3f1f34b848e1a35e017eafdb8885
|
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
QLZJPqgym, beJPqDA
|
JPq
|
task617_amazonreview_category_text_generation
|
task617-713e0d458b494f27abcb5ada774790b0
|
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby product, grocery, drugstore, home improvement, pc, shoes, automotive, digital ebook purchase, musical instruments, beauty, book, electronics, lawn and garden, apparel, home, video games, luggage, furniture, personal care appliances.
Do not waste your money, guys! This is NOTHING like the old recipe. Isn’t even as good as Utz. My childhood self was so excited, and these were the ultimate let down. The cheese curls are just as bad. Also this is for one single can!
|
grocery
|
task377_remove_words_of_given_length
|
task377-95ed711aca764b6e9b427010580eb67b
|
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'two public transit buses on a city street'. Remove all words of length '7' in the given sentence.
|
two public buses on a city street
|
task160_replace_letter_in_a_sentence
|
task160-37db60df084747b990536af2bb5ae454
|
In this task, you need to replace a letter in the sentence with another given letter.
Sentence: 'here is an outdoor view of the area'. Replace the letter 'i' with 't' in the sentence.
|
here ts an outdoor vtew of the area
|
task1217_atomic_answer_generation
|
task1217-0e92f3857c29489cac7e500832805c68
|
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX makes the ___ better
|
sculptures
|
task573_air_dialogue_classification
|
task573-2f3dd192bdf2456588ccec181056a727
|
In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following: `book`: Make a new reservation, `cancel`: Cancel an existing reservation, `no_flight`: No flight found for the customer's preference, `no_reservation`: No reservation / No change / No cancellation was made in the conversation, mostly enquiring details
customer: Hello.
agent: Hello, how can I help you?
customer: Can you please help me to book a flight from MCO to MSP?
agent: Sure, let me know your journey dates.
customer: My planned travel dates are Jan 14th and 16th.
agent: Is there any preference in connection limit?
customer: I prefer maximum one connection between my journey.
agent: May I know your name to proceed further?
customer: My name is Justin Allen.
agent: Please wait a moment.
customer: Sure.
agent: Justin Allen, there is a direct flight available for you with price 500. Are you ok with that?
customer: Please proceed with the booking.
agent: Your booking has been done in business class in American airlines with flight number 1002.
customer: Thank you.
agent: Thank you for choosing us.
|
book
|
task183_rhyme_generation
|
task183-031a93ae70f5417bb7b3692126cbcf22
|
Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
back
|
haque
|
task1502_hatexplain_classification
|
task1502-49d3fa566d14455382c933790191dcd8
|
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
<user> negro he sounds about white
|
Normal
|
task595_mocha_answer_generation
|
task595-de5e1cbed5dc44a49e0eb722c438aca4
|
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.
Casey saw a student bullying another student so Casey sent the student home suspended pending investigation.
Question: What does Casey need to do before this?
|
work at the school
|
task820_protoqa_answer_generation
|
task820-e55e0b92e58941b98a7c7d8da15e6cab
|
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
name something you are embarrassed to do in front of people at the gym
|
pass gas
|
task1087_two_number_sum
|
task1087-0fb1f5231c9a47b580bf710121aa9d1d
|
You are given a list of integers and an integer target, return a list of a pair of numbers in any order such that they add up to target. If there is no such pair of numbers, then return an empty list
[48, 43, 27, 34, 41, 38, 17, 8, 4, 14, 49, 1, 15, 20, 24, 33, 19, 45, 18, 47], target=58
|
[41, 17]
|
task820_protoqa_answer_generation
|
task820-182dd2e0ad064a5c9344646c5bb74986
|
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
name an occupation whose members are no better than crooks.
|
ceo
|
task376_reverse_order_of_words
|
task376-c6eb0f2a5c554634bece5992a0b1931d
|
In this task, you need to reverse the order of words in the given sentence.
Sentence: an assortment of food including rice and broccolit
|
broccolit and rice including food of assortment an
|
task196_sentiment140_answer_generation
|
task196-2c950f23e8d2447da3cfda2e96e78927
|
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Tweet: @casual_intruder you just get better and better! Harold is such a bad influence Question: is it a positive tweet?
|
yes
|
task631_dbpedia_14_incorrect_answer_generation
|
task631-39769011db4c4d2d8d5414b55ed9af17
|
In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Film, 14)Written work
Text: Johnny McNicholl (born 24 September 1990) is a New Zealand rugby union footballer who plays as a fullback for Canterbury in the ITM Cup. He was a member of the Crusaders Wider Training Squad in 2012 and subsequently promoted to the senior squad for 2013.McNicholl was a stand-out performer in the 2012 ITM Cup heading the Top Tryscorers list with 10 three ahead of his nearest rival.
Question: WHat is the classified topic name
|
Film
|
task1290_xsum_summarization
|
task1290-887763e75cf14ce3afea1e57a7817959
|
In this task, you are given an article. Your task is to summarize the article in a sentence.
In 2013/14, York Theatre Royal and Sheffield Theatres reported the number of BME employees as 3%, while Hull Truck Theatre had none.
ACE said that a survey showed that 14% of the English workforce were from BME communities.
Hull Truck Theatre said it was taking action to address the issue.
Last year Sir Peter Bazalgette, chair of Ace, said organisations could have their funding cut if they failed to improve diversity.
Speaking at the launch of the new report, Sir Peter said theatres had to make "their work more reflective of their communities, and representative of 21st Century England".
"The arts can show us how things are and the arts can give us a vision of what they could be," he said. "They can make the case for diversity; they can be the case for diversity. They can bring us together."
Ace said it was providing £8.5m of funding to encourage diversity.
The executive director of Hull Truck Theatre, Janthi Mills-Ward, said the theatre had introduced an apprenticeship scheme "which has changed the demographic".
"Hull's demographic is actually 94% white," she said. "So actually, young people, or anybody from Hull from a BME community might not have seen a career in the arts as something they could go in to."
|
A number of theatres in Yorkshire employ fewer than 5% black or minority ethnic (BME) workers, according to an Arts Council England (Ace) report.
|
task113_count_frequency_of_letter
|
task113-7e6f023885f54fb5965fe6ed3d02a426
|
In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'a red two level bus that is parked with it's doors closed and another bus is behind it'. Find frequency of the letter 'e'
|
7
|
task477_cls_english_dvd_classification
|
task477-fe99ade57f1e454e87d4168e7e96e4a0
|
In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied).
A wonderfully ridiculous bit of fun . This is a very delightful bit of silliness. Do you remember how visually wonderful "Chicken Run" was? Well, this is even better. Wallace is a daft inventor who, in this story, is running a humane pest removal service named "Anti-Pesto" and Gromit is his intelligent and loyal dog. Gromit is the one with the common sense and is the only one in the whole film who seems to know what is going on. And Gromit never says a word. However, he is quite expressive and we always know clearly what is on his mind and why he has the concerns he has. The town is concerned about the rabbits eating their vegetable gardens because the annual giant vegetable growing contest is about to be held. The sponsor is a local hereditary heir, Lady Tottington (wonderfully voiced by Helena Bonham Carter). She is being courted by the scoundrel Victor Quatermaine (voice amazingly by Ralph Fiennes). He also loves to shoot rabbits, but this bothers her ladyship and once she meets Wallace she becomes more taken with him and his humane ways. Wallace comes up with the idea of trying to condition the rabbits to not want to eat the vegetables and things have to be stopped before the process is completed. The rest of the movie is working out all the crazy details of the unexpected results of the partial experiment. Lots of fun and quite a visual treat and a stop-action / animation triumph. Enjoy
|
POS
|
task195_sentiment140_classification
|
task195-45685542f79e4f059f5c6498c79d06b5
|
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@JaylaStarr never fails, smoke up, watch some of your scenes, aaahhh love it!
|
positive
|
task246_dream_question_generation
|
task246-ba24c2c3251d40fdbc43d66414205fbe
|
In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "man".
M: Hi, Kathy, it's Jason. W: Hi, Jason. I haven't heard from you in a while. M: Well. I've been busy. I've started my own company. W: Wow, what kind of business is it? M: Just a small on-line store. I am hiring staff and I want you to come to work for me. W: Actually, I just got started working at the old company again. M: Oh, I didn't realize you were going back. Well, can you recommend someone else?
|
What is the woman doing? (A) Working for a company. (B) Running a business. (C) Hunting for a job.
|
task1312_amazonreview_polarity_classification
|
task1312-6ffec28d68d7418a80c2968683af0d6a
|
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
I just got it and it took me few minutes to test it and it is amazing - it will be perfect for my child as it is very easy to use, it is light , fancy design and overall is a great bargain for a real camera for kids! very pleased and can't wait to see my child's face when they will see it :)
|
positive
|
task183_rhyme_generation
|
task183-7a177cbf5f144b978d5335d9052f7df5
|
Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
build
|
gild
|
task1292_yelp_review_full_text_categorization
|
task1292-99ce7d012b664a5dbeeb2e877510ddf8
|
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
This location is right off the Green and it has been a while since I've visited, but Fuel hasn't really made any drastic changes to their business model so it's a pretty steady staple in Charlotte in my book.\n\nGreat place for quelling the late-night pizza fixes and a great way to end the night to lessen the magnitude of hangovers.
|
3 stars
|
task507_position_of_all_numerical_elements_in_list
|
task507-e8e82efe6e954439ba596014577daf3b
|
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
['w', '6239', 'z', '935', 'D', '899', 'W', '3947', '2329', '7017', '7161', 'b', 'o', '5845', 'z', 'u', '6577', '7753', 'y', '1425', '9729', '7689', '3437', '1353', '1599', '3407', 'M', 'e', '3857', 'C', '7039', 'c', '8283', 'N', '2131', '2211', 'm', '2881', '2917', '2231']
|
2, 4, 6, 8, 9, 10, 11, 14, 17, 18, 20, 21, 22, 23, 24, 25, 26, 29, 31, 33, 35, 36, 38, 39, 40
|
task1312_amazonreview_polarity_classification
|
task1312-ae74c580e546416c8c84d659769453b0
|
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Great popcorn maker! It was easy to setup and use and makes the perfect popcorn! It's not too nosy and holds a lot of popcorn, perfect for entertaining
|
positive
|
task1364_hans_answer_generation
|
task1364-46d3746c175d45e485bdcb9d69a690dc
|
In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
The senators recognized the doctor .
|
The doctor recognized the senators .
|
task1309_amazonreview_summary_classification
|
task1309-5908486701564b568f3f69fb5ca7dd30
|
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Reviews: I'm an AVID reader and love mysteries. This book was such a struggle for me. It didnt draw me in. I couldnt get to know or feel the characters. It was boring for me.....I really struggled to read it. Maybe you will have better luck
Summary: Not a direct replacement. The electrical contacts are different ...
|
False
|
task823_peixian-rtgender_sentiment_analysis
|
task823-c4e4660f533a4c7ab811d91a1a97f109
|
Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Poster: is remembering Sen. Kennedy a remarkable man who, with the luxury of choices, devoted his life to the least of us. His legacy will live on long after we are all gone. Responser: A man who was proud to be call a "Liberal" and demonstrated that philosophy all through his life. Here's hoping that congress pass a quality "Health Care Bill" in honor of this Kennedy Family 'Giant".
|
Mixed
|
task379_agnews_topic_classification
|
task379-75ca477035db4ed2b027cb7fa1c7d1b4
|
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
A Simpler Conversion A new IRA conversion rule will let you ignore minimum distributions in computing threshold incomes.
|
Business
|
task157_count_vowels_and_consonants
|
task157-98d84b55ecb54b2cb01aa2e283312925
|
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Sentence: 'a bed sitting next to a wooden table with a lamp on it'. Count the number of consonants in the given sentence.
|
25
|
task195_sentiment140_classification
|
task195-a12ffe21390c46a49b36afd487d50c63
|
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@MedifastPr Btw I lost 17lbs on Medifast. Its helped me alot. And I love what I'm eating...that's very important to me: Gotta be TASTY
|
positive
|
task385_socialiqa_incorrect_answer_generation
|
task385-c695b58de7854ea19d6f8b6515503a0c
|
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Context: Remy posted flyers to the event they were going to put on.
Question: Why did Remy do this?
Options: (A) So people would know about the event (B) So people would go to the flyers (C) make new ones
|
B
|
task577_curiosity_dialogs_classification
|
task577-ea97aa92916a4ad3b2653f5b3965a7cd
|
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
What are the other Celtic countries? Im not familiar.
|
user
|
task103_facts2story_long_text_generation
|
task103-b4aba5a0823d45fa944111f1240b15af
|
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Fact1: dunk tank at Texas carnival is operated by Debbie Telford and partner Cornie Quinell, Fact2: honest man helps inebriated Dan Sabinas, Fact3: inebriated Dan Sabinas is being taken advantage of at carny booth, Fact4: Cornie end up being mistaken for Dan and Marilla, Fact5: jellybeans being used for chips are worth big money
|
A dunk tank at a Texas carnival is operated by Debbie Telford and partner Cornie Quinell. An honest man, Cornie helps the inebriated Dan Sabinas, a millionaire rancher, who is being taken advantage of at another carny booth. A grateful Dan is put in a taxi, with Cornie promising to return his car. Dan drunkenly has the cab take him to Mexico instead. As Cornie and Debbie drive to Dans hotel in his car, they end up being mistaken for Dan and wealthy sister Marilla. In time, Cornie comes to enjoy the lap of luxury and is attracted to lovely Sunshine Jackson, whose dad is the sheriff. Debbie is courted by Dans handsome foreman, Slim Shelby, who pretends not to know shes an impostor. In a poker game, Cornie is unaware that jellybeans being used for chips are worth big money. He loses 17,000 that he cant repay unless he can win a Texas chuck wagon race. Debbies in hot water, too, because the real Marilla is suspicious of her. Dan finally returns but cant recall who Cornie is. In an attempt to get Dan drunk again, Cornie gets tipsy instead and needs to drive his chuck wagon that way. But all ends well when he and Debbie end up with their new loves.
|
task521_trivia_question_classification
|
task521-668c6decac94486aaee41c14ea9c7e8f
|
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
A misplaced pin in this opera leads one character to malign women in the aria, Aprite un po quegli occhi, while another character expresses his love for Barbarina in the aria, Voi che sapete. A contract is dissolved when it is revealed that Marcellina is the mother of her betrothed and she decides to marry Bartolo instead, and the page Cherubino is dressed in womens clothes in a scheme to trick Rosinas husband. FTP Count Almaviva realizes the woman he was trying to seduce is not Susanna but his wife at the end of this Mozart opera about the wedding of a barber of Seville.
|
Fine Arts
|
task162_count_words_starting_with_letter
|
task162-f252f3e92cb94a6184f5f1ecad028887
|
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Sentence: 'a boy that is doing a trick on this skateboard at night'. How many words start with the letter 'b' in the sentence.
|
1
|
task413_mickey_en_sentence_perturbation_generation
|
task413-d1e7ad68da1e48b98703cab95d1eb5fd
|
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
A website is created by an architect .
|
A painting is compiled by an artist .
|
task303_record_incorrect_answer_generation
|
task303-fbac19ee04a24cd69f88e1c83ad3f754
|
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.
Ministers are to consider the 'nuclear option' of closing the Channel Tunnel at night if the Calais migrant crisis deepens, it has been reported. Details of the proposal emerged following the arrest of a Sudanese migrant who evaded French security and ran almost the entire length of the 31-mile tunnel before being caught in Kent. Abdul Rahman Haroun, 40, dodged trains travelling at speeds of 100mph before his perilous attempt was thwarted by police less than a mile from Folkestone on Tuesday. He had scaled four security fences and avoided 400 surveillance cameras before running in darkness through the tunnel - used by Eurostar trains destined for Paris and Brussels - and was only spotted when he set off an alarm 15 miles into his 'highly dangerous journey'.Government ministers have discussed closing the Channel Tunnel at nightIt comes in response to concerns about the escalating Calais migrant crisisOn Tuesday a migrant ran almost the entire length of 31-mile long tunnelAbdul Rahman Haroun, 40, dodged 100mph trains but was caught in Kent
Question:MPs have described security at the tunnel entrance in _ as ‘very disturbing’.
|
Abdul Rahman Haroun
|
task380_boolq_yes_no_question
|
task380-cfc74500612f4a30a7c91ad32fdaa909
|
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: DreamWorks Dragons features the voice talents of Jay Baruchel, America Ferrera, Christopher Mintz-Plasse, Julie Marcus, Andree Vermeulen, T.J. Miller, Zack Pearlman, Chris Edgerly and Nolan North. The sixth and final season of DreamWorks Dragons: Race to the Edge was released on February 16, 2018.
question: is there a season 7 of how to train your dragon?
|
No
|
task496_semeval_answer_generation
|
task496-23fa852e9bf74c0896fe154517eb72c6
|
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No".
News Headline: Syria Vows To Sign {Paris Agreement} , Leaving U.S. Alone In Climate Denial .
Edit: autograph
Label: Funny
|
Yes
|
task469_mrqa_answer_generation
|
task469-107cafcab0b84814a65f270fa801b124
|
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Context: Juvenile neuronal ceroid lipofuscinosis (Batten disease) is a neurodegenerative disorder caused by defective function of the lysosomal membrane glycoprotein CLN3. The activity of the lysosomal acid phosphatase (LAP/ACP2) was found to be significantly increased in the cerebellum and brain stem of Cln3-targeted mice during the early stages of postnatal life. Histochemical localization studies revealed an increased LAP/ACP2 staining intensity in neurons of the cerebral cortex of 48-week-old Cln3-targeted mice as compared with controls. Additionally, the expression of another lysosomal membrane protein LAMP-2 was increased in all brain areas. Knockdown of CLN3 expression in HeLa cells by RNA interference also resulted in increased LAP/ACP2 and LAMP-2 expression. Finally in fibroblasts of two juvenile neuronal ceroid lipofuscinosis patients elevated levels of LAP/ACP2 were found. Both activation of gene transcription and increased protein half-life appear to contribute to increased LAP/ACP2 protein expression in CLN3-deficient cells. The data suggest that lysosomal dysfunction and accumulation of storage material require increased biogenesis of LAP/ACP2 and LAMP-2 positive membranes which makes LAP/ACP2 suitable as biomarker of Batten disease.
Question: What is the effect of a defective CLN3 gene?
|
juvenile-onset neuronal ceroid lipofuscinosis
|
task846_pubmedqa_classification
|
task846-eca7f472c5ac4b85bb0a5f4da907e968
|
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Question: Does remote ischemic preconditioning stimulus reduce microvascular resistance or improve myocardial blood flow in patients undergoing elective percutaneous coronary intervention?
Answer: RIPC stimuli during elective PCI do not affect coronary microvascular resistance or coronary flow in humans.
|
no
|
task1217_atomic_answer_generation
|
task1217-72787b546d4a4e62906529b984b597a6
|
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX wheels out ___
|
table
|
task595_mocha_answer_generation
|
task595-f01ec54604cd4d47b1faaba2d2da8d0f
|
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.
Quinn finished the movie and cried at the ending.
Question: How would you describe Quinn?
|
sensitive
|
task098_conala_list_intersection
|
task098-b00a2bcc77b949b8a587bb86d649f346
|
In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of numbers must be inside brackets. Sort the numbers in your answer in an ascending order, that is, no matter what the order of the numbers in the lists is, you should put them in your answer in an ascending order.
[9, 7, 8, 6, 10, 7, 2, 9, 3] , [10, 10, 8, 3, 8, 7, 6, 5, 9]
|
[3, 6, 7, 8, 9, 10]
|
task183_rhyme_generation
|
task183-1deae2305b97405183bf4df54d97966a
|
Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
card
|
bombard
|
task183_rhyme_generation
|
task183-00796433212f4300bca172f4f7ba4901
|
Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
slip
|
yip
|
task164_mcscript_question_answering_text
|
task164-5194a94d076546f5bd704c11594721b7
|
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
Passage: I love to play video games . I have a few consoles , but I mostly like to play on my computer . I usually sit down at my desk , with something to drink and a snack and play my favorite online game . Once I am on the game server I pick what character I want to play and then log into the game world . I have a guild and a lot of friends and we chat using headsets . We plan different adventures and challenges and figure out what we want to do . Usually I do some dungeons with a group , and then adventure on my own . I make sure to not play for to long , even if I really want to , so I get to bed on time . Question: What happens in the game? Option1: Puzzles Option2: they play different challenging adventures
|
they play different challenging adventures
|
task636_extract_and_sort_unique_alphabets_in_a_list
|
task636-f0840e68e8a5437585df3a3803fc91b7
|
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
['a', '4353', '7469', '1423', 'h', '9391', '7119', '2793', '7591', '2517', '7579', '1139', '6631', '5043', '3627', '5543', '729', '1191', 'k']
|
a, h, k
|
task668_extreme_abstract_summarization
|
task668-a8cee2eb11d2463d9cbed3f69b7bc6f4
|
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Recurrent neural networks are known for their notorious exploding and vanishing gradient problem (EVGP). This problem becomes more evident in tasks where the information needed to correctly solve them exist over long time scales, because EVGP prevents important gradient components from being back-propagated adequately over a large number of steps. We introduce a simple stochastic algorithm (\textit{h}-detach) that is specific to LSTM optimization and targeted towards addressing this problem. Specifically, we show that when the LSTM weights are large, the gradient components through the linear path (cell state) in the LSTM computational graph get suppressed. Based on the hypothesis that these components carry information about long term dependencies (which we show empirically), their suppression can prevent LSTMs from capturing them. Our algorithm\footnote{Our code is available at https://github.com/bhargav104/h-detach. } prevents gradients flowing through this path from getting suppressed, thus allowing the LSTM to capture such dependencies better. We show significant improvements over vanilla LSTM gradient based training in terms of convergence speed, robustness to seed and learning rate, and generalization using our modification of LSTM gradient on various benchmark datasets.
|
The paper introduces a simple stochastic algorithm called h-detach that is specific to LSTM optimization and targeted towards addressing this problem.
|
task453_swag_answer_generation
|
task453-d57ef866dc6549b6a1c8a52405016f2c
|
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
The runaway train smashes through the station's huge front windows and falls into the street one story below. Someone
|
awakes and sits up in bed.
|
task523_find_if_numbers_or_alphabets_are_more_in_list
|
task523-0132e4a3e4e84a89938c6120fe132282
|
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'.
['325', 'N', 'x', 'T', 'R', '165', '4763', 'Q', '5775', '2157', '7363', '2651', 'n', '1045', '1321', '4495', '4509', '6757', '2481', 'd', '5073', '9031', '1837', '5687', '1', '6843', 'B', '81', '4427', 'k']
|
Numbers Win
|
task681_hope_edi_malayalam_text_classification
|
task681-5c6b7605b50c4d47891361b0a0158053
|
Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
.................. യഥാർത്ഥ പ്രണയം എന്നും നിലനിൽക്കട്ടെ.
|
Hope Speech
|
task848_pubmedqa_classification
|
task848-a2c4d7ab33524f09bc243dd76c21bd5f
|
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Advances in imaging technology have enhanced the detection of small nodular lesions during the course of chronic liver disease.', 'Between 1995 and 2002, the authors examined 154 consecutive patients with small hepatic nodules without hepatocellular carcinoma (HCC) over a median duration of 2.8 years. The median size of these nodules was 14 mm (range, 7-40 mm). The initial histopathologic diagnosis included high-grade dysplastic nodule (HGDN) (n=13), low-grade dysplastic nodule (LGDN) (n=42), and regenerative nodule (RN) (n=99).', 'A total of 29 (18.8%) nodules developed into HCC during the observation period. Cumulative HCC development rates at the first, third, and fifth year were 46.2%, 61.5%, and 80.8% for HGDN; 2.6%, 30.2%, and 36.6% for LGDN; and 3.3%, 9.7%, and 12.4% for RN, respectively. The rate of HCC development was significantly higher in the HGDN group than for other types (P<0.001). Multivariate analysis disclosed that histopathologic diagnosis (P<0.001) and findings on computed tomographic arterial portography (CT-AP) (P=0.004) were significantly associated with future HCC development. The hazard ratios of HGDN and LGDN were 16.8 (95% confidence interval [CI], 6.19-45.6) and 2.96 (95% CI, 1.20-7.31), respectively. A decrease in portal blood flow also showed a significantly high hazard ratio of 3.04 (95% CI, 1.42-6.50). Approximate annual development rate to HCC was 20% in patients with HGDN and 10% in LGDN.
|
0
|
task283_dream_incorrect_answer_generation
|
task283-a8c08ba5cac941c29549dbf1327c08ff
|
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
W: Hello, Thomas Brothers. M: Hello, this is Mike Landon here. Is Jack Cooper there by any chance? W: I am afraid not, he is away for a day or two, back on, let's see, Monday morning. M: Oh, well perhaps I can live a message for him. W: Yes, of course, just a minute. Now, let's see, to Jack Cooper from Mike London. M: No, Landon, L-a-n-d-o-n. W: Sorry, yes, got that, and what's the message? M: Well it's just this: could he come to a meeting on Monday afternoon at 5:00 pm? W: That's this coming Monday, October 12th? M: Right, it's to discuss the new factory in France. W: Fine, I've got that. I will see that he gets it as soon as he comes in on Monday. M: Good, thank you, goodbye., Question: What relation is the woman to Mr. Cooper?
|
His boss.
|
task374_synthetic_pos_or_neg_calculation
|
task374-267a515c710340a294a2935c926cf4ea
|
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presented with comma separated numbers inside two brackets.
[-18, 70, 47, 66, 64, -76]
|
[54, 140, 94, 132, 128, 228]
|
task517_emo_classify_emotion_of_dialogue
|
task517-6220ad4d1aad4221ba53d7407485b587
|
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
yeah very lonely why are you so lonely wearyface i am missing someone beloved
|
sad
|
task1508_wordnet_antonyms
|
task1508-4889e21144894ca399d9f74d9c98d058
|
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
boneless
|
bony
|
task378_reverse_words_of_given_length
|
task378-f212b11fc60446bf878af126d458f8ac
|
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Sentence: 'a professional baseball player just after hitting the ball'. Reverse all words of length '7' in the given sentence.
|
a professional baseball player just after gnittih the ball
|
task518_emo_different_dialogue_emotions
|
task518-0bbb174bbc004c849f473f0783a946d8
|
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Dialogue 1: 'i fell wht i fell in love with your eyes d haha o really'. Dialogue 2: 'lie i don't like you anymore i am sad'.
|
no
|
task476_cls_english_books_classification
|
task476-00bdd1224bce4ed5b0c6e9bc29246a46
|
In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Is This Book Worth Your Time and Effort? . Yes it is! As I sit here thinking about the experience of reading the book, and it is an experience I assure you, I can tell you that there are slow periods in this "story" when you hope it will be "over soon". So, don't expect an "easy read" on this one. But the main idea is so "universal" and the story in its totality is so well written, that you forgive any "lapses into boredom" of the narrative. In fact, that's partially what the book is about: "small town boredom" of an intelligent and thoughtful and self examining lady in the early part of the 20th century. And, further, it's about the "will to overcome" and the "courage to overcome" this boredom and pettiness of the small town by the main character who is a "downtrodden female" of that era. I think this could be considered a "woman's lib" book. As you read you will "cheer on" the main character, Carol, as she faces down the town pettitness and town bullies and even her somewhat staid but basically "good guy" husband. The main thing that is bugging Carol is this: She "hasn't found her true life's occupation" and she feels "trapped" in the little podunk town of Gopher Prairie and in her marriage so that she'll never "find her true self". (wow, what a name for a town!o) This theme is a universal theme because everyone, even men, have the same driving force of finding "who am I" and "where do I really belong." It's a "universal theme". Thus this is an "important book" to read if you have ever had similer thoughts and restiveness about "where do I belong" and "what is my true purpose in life." Just keep reading past the "slow parts" and you'll find that your effort will be rewarded. Email boland7214@aol.c
|
POS
|
task586_amazonfood_polarity_classification
|
task586-30b2de02f08f449fa8a3c73ea4229ba9
|
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
After a few uses, this powder spoilt a cake. It has lost its raising power. It is still well within the expiry date and the container has been kept closed and in a dry place. Avoid this one. I plan to ask for a refund.
|
Negative
|
task574_air_dialogue_sentence_generation
|
task574-d7ec6353d6d34dacb853abdc7c3ab48a
|
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the blank with a question, it should have an answer from the agent in the given dialogue. Fill the gap marked with underline.
customer: Hello, Joseph Hall here.
agent: Hello, how can I abet you?
__
agent: Ok.
customer: Thank you.
agent: Please wait for a while, I will check your reservation.
customer: Sure, I will wait.
agent: I am here to inform you that, there is no reservation found on your name.
customer: No problem at all. May be I reserved with some other airline.
agent: Ok.
customer: Thanks for your effort.
agent: Thank you for approaching us.
|
customer: Please cancel my reservation, which is reserved earlier. Due to the curfew at my home town.
|
task1711_poki_text_generation
|
task1711-6118003a308747f4ae36e666cf000f40
|
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
My Thumb
|
my thumb have more lin then a zebra my thunb have more lin then a tree my thumb have more lin then a pice of papper my thumb have more lin then a jacket
|
task159_check_frequency_of_words_in_sentence_pair
|
task159-048a7da46b8943c892fcba298c84e8a9
|
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a kitchen has been organized with many appliances', Sentence2: 'a young couple on vacation stand posing with their motorbikes in front of a town sign'. Is the frequency of the word 'a' in two sentences equal?
|
No
|
task229_arc_answer_generation_hard
|
task229-97f82afc5d954448b2af8175c8245ccb
|
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct answer for each question.
Which tool would a student use to measure the mass of a brick?
(A) balance (B) yardstick (C) thermometer (D) graduated cylinder
|
A
|
task405_narrativeqa_question_generation
|
task405-dd00c31d492240e9a129faa6a44c0839
|
You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they will contain actor names in parentheses. You should not use those names. Only use character names. Try to ask a question about all parts of the plot, not just the beginning.
The novel is told from the perspective of an unnamed medical professor. He tells the story of a student named Bernard Langdon, who has to take some time away from his studies to earn money as a teacher. Langdon spends a short time teaching at a school in the village of Pigwacket Centre where he earns respect after taking on the school bully, Abner Briggs. After only a month, however, Langdon leaves to work at the Apollinean Female Institute in the town of Rockland. The owner of the institute is the profit-focused Silas Peckham and the schoolmistress is Miss Helen Darley, who is literally working herself to death. One of his students is the 17-year-old Elsie Venner, who purposely sits apart from the other students. She is known for being strange and quick to anger. She is only close to her father Dudley Venner, who she calls by his first name, and her governess, Old Sophy. She also has a friendship with the town physician Dr. Kittredge, to whom she reveals that she ran away from home to hide on the other side of the mountain, where the other town residents are afraid to go.
Elsie's half-Spanish cousin Richard "Dick" Venner pays a visit at the Venner estate. Like Elsie, his mother died when he was a child and the two cousins were playmates in their childhood. Elsie, however, was rough on her cousin and once bit him hard enough that he still has scars from it. Dick has since become a skilled horse-rider and a bit of a trouble-maker, though stories of his escapades are unclear. Rumors abound that Dick has come to town to ask his cousin Elsie to marry him; in fact, he intends to marry her so that he can inherit his uncle's estate.
Langdon is surprised to find a gift stuck in the pages of a book by Virgil on his desk at school. Pressed inside is an exotic-looking flower, known to be the type Elsie collects. Frightened yet intrigued that the girl has taken an interest in him, he resolves to climb the mountain and find her secret hiding-place. Climbing up several precipitous rock formations, Langdon finds the source of the exotic flower Elsie presented him. Investigating a cavern where he thinks Elsie hides out, Langdon is instead overtaken by a rattlesnake poised to strike. Just at that moment, however, Elsie appears and calms the snake merely by looking at it.
Intrigued, Langdon researches snakes, poisons, and the "evil eye". He cages a couple snakes and contacts his old professor for information. Doctor Kittredge recognizes the mutual interest between Langdon and Elsie, and recommends the former begin practicing with a pistol. In the meantime, Dick Venner subtly pursues a relationship with Elsie in order to become heir to the ample Venner estate but is jealous of Langdon and worries Elsie's father might marry Miss Darley. One night, Dick attacks Langdon with his lasso. Langdon shoots his pistol and kills Dick's horse but is injured. Dr. Kittredge's assistant appears, having been ordered to follow Dick and, after exposing the incident, Dick is run out of town.
Soon, Elsie admits her interest in Langdon. Though he admits he is concerned about her as a friend, she is devastated and becomes sick. During her illness, she calls for Miss Darley to attend to her. Miss Darley finally asks Old Sophy how Elsie's mother died, and it is implied that she was poisoned by a snake bite shortly before Elsie was born. Elsie slowly loses her mysterious nature and softens enough to tell her father she loves him. She dies shortly after.
|
What does Doctor Kittredge recommend to Bernard Langdon?
|
task934_turk_simplification
|
task934-ec3f70980a3142df92a400f85286962c
|
In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
isbn 1-876429-14-3 is an historic township located near cowra in the central west of new south wales , australia in cabonne shire.
|
isbn 1-876429-14-3 is a historic township located in austrailia near the town of cowra.
|
task567_circa_text_generation
|
task567-10f62d2ddec141ce9bd05af50530a818
|
In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Is the flat in Queens?
|
Y has just told X that he/she is thinking of buying a flat in New York.
|
task862_asdiv_multidiv_question_answering
|
task862-ef63a3f2974d44dcacd98d417c7f1d96
|
You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
a report said that each day the average youtube viewer watches 2 videos with each video lasting 7 minutes . additionally they also watch 3 minutes of ads . according to the report how many minutes total do people spend on youtube ?
|
17
|
task140_detoxifying-lms_classification_style
|
task140-99d4f7539af149dd9d7d78e163d74e3d
|
Given a prompt and two completions from a language model, select the completion that has the most similar style to the prompt. Style is defined as the tone, word choice, grammar, and sentence structure throughout the prompt-completion pair. If a prompt is colloquial, then the completion should also be colloquial, as opposed to a completion that is encyclopedic or overly formal. Generate either Completion A or Completion B.
Prompt: Yes, so I know So Jalen was doing the line too, and I hope that they didn't
Completion A: have any more trouble for the same reason. This is a bit too much like the first game before, where you lose to any team and are rewarded
Completion B: come down here to do something and that I'm right. They're just trying to work it out. They've had meetings. They'r
|
Completion B
|
task165_mcscript_question_answering_commonsense
|
task165-1bc66d8154de45a68a7d0127a4427b37
|
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with words other than the two options, and do not answer with option titles(e.g. "option1" or "1" are not acceptable answers.)
Passage: My new teaching job straight out of college required me to move closer to the school where I would be teaching . I found a new apartment in the city and leased it for one year . Moving into my new flat took the help of several friends while we unloaded the moving truck full of my furniture and personal belongings . While the moving crew continued to unload furniture , I put the drawers in my dresser and made the bed with clean bedding . The next two loads from the trailer included my desk and futon that would sit in my living room . One more trip included my dining room table . The heavy lifting was done , but still many trips from the moving truck were required to bring in my clothes , boxes of books and kitchen items . At the end of the day , we ordered pizza and gathered around my dining room table to rest before everyone went home . Question: What made moving easier? Option1: hiring movers Option2: The moving truck
|
The moving truck
|
task460_qasper_answer_generation
|
task460-40518455b70449ba8e8ad5df38e62ac5
|
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
To implement the first tier of our framework and detect moral relevance, we complement our morally relevant seed words with a corresponding set of seed words approximating moral irrelevance based on the notion of valence, i.e., the degree of pleasantness or unpleasantness of a stimulus. We refer to the emotional valence ratings collected by BIBREF28 for approximately 14,000 English words, and choose the words with most neutral valence rating that do not occur in the MFD as our set of morally irrelevant seed words, for an equal total number of morally relevant and morally irrelevant words.
Question: How do they quantify moral relevance?
|
By complementing morally relevant seed words with a set of morally irrelevant seed words based on the notion of valence
|
task067_abductivenli_answer_generation
|
task067-e77d491652cd4991ad95f400fb68d961
|
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Beginning: The weather called for several inches of snow. Ending: The snowstorm was severe and intimidating.
|
So nobody came out of the house.
|
task1645_medical_question_pair_dataset_text_classification
|
task1645-11489dcee719490ba194fff304b996ba
|
In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
Sentence1: I am thinking of getting a tattoo currently I am on the following medication. Effient 1 a day temsig 50mg 1/2 day ramipril 2.5 1 a day aspirin 1/day is it advisable to get a tattoo as I have 2 stents and have had a heart attack in the last 18 months?
Sentence2: Is it okay to get a tattoo when I am on Effient, Temsig, Ramipril, aspirin with a history of having 2 stents and a heart attack in the last 18 months?
|
Similar
|
task1368_healthfact_sentence_generation
|
task1368-e6e5492cd1f641aeb40aa85a0e06226c
|
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
"Because we deal with lots of loose rhetoric at PolitiFact Ohio, we’re attracted like a magnet to any claim that tries to actually quantify a political or ideological point. Ohio U.S. Sen. Rob Portman delivered such a tidbit during a conference call with Ohio reporters on May 23. Portman was explaining a bill he co-introduced that could require additional cost-benefit analysis and allow more business flexibility before new federal regulations and rules could be issued. Portman says too many government regulations are imposed without a commonsense assessment of their burden on businesses and jobs. And he said that President Barack Obama’s administration has put out ""more of these major rules than the Clinton administration or the Bush administration during comparable times."" We won’t attempt to assess whether current and pending regulation of the environment, worker and food safety, healthcare, wildlife or fuel efficiency are good or government overkill. But has the Obama administration finalized more of these ""major"" rules than other recent presidents? That part of the claim is measurable and has, in fact, been examined by groups of all political stripes, all using the same sources of government data. If all regulations were counted, Obama’s record would be nowhere near Portman’s description, especially considering a sizeable flurry of rulemaking during Bill Clinton’s first two years, as the liberal group OMB Watch, now known as the Center for Effective Government, said in a report last September. In fact, when 2012 Republican presidential candidate Mitt Romney claimed that federal regulations quadrupled under Obama, PolitiFact ruled it False. But Portman said ""major"" rules."" ""Major"" has a specific meaning when used by the government in this context. It means any rule with an economic impact of at least $100 million. And the White House Office of Management and Budget, or OMB, keeps track of these very rules, as does the Government Accountability Office. OMB calls them ""economically significant"" rules, which also has a distinct definition but is so close to ""major"" that there is no need to split hairs here. We looked at three analyses of major or economically significant rules, all broken down by year and presidency and all using OMB data. One was provided by Portman’s Senate staff, which is familiar with the data because Portman used to run OMB. Another was from the Regulatory Studies Center at George Washington University, headed by Susan Dudley, a former regulatory affairs administrator at OMB. A third was from the Center for Effective Government. Portman’s office compared rules that were finalized in the first three years of Obama’s tenure with the first three of Clinton’s and George W. Bush’s. To guard against counting rules finalized by one administration but published by another, it excluded those that were published in the first few weeks of an incoming president’s term. Portman’s staff counted only executive branch departments and agencies and not those of independent agencies that do not report to the president. It found 162 major rules for Obama, 115 for the same period under Bush, and 135 for the same period under Clinton. A similar analysis by George Washington University’s Regulatory Studies Center had a similar conclusion, though the raw numbers were slightly different from Portman’s because of a technical variation in the timeframes counted. Among other things, the analysis counted every year the presidents served, allowing for comparisons of first and second terms for Clinton and Bush and the full four years of Obama’s first term. This made no substantive difference in terms of Portman’s claim. It showed that Obama still had more economically significant rules -- 217 in his first four years, compared with the next highest, 190, in Bush’s second term. Finally, there was the data from the Center for Effective Government, nee OMB Watch. Last September, it examined new regulations since 1992, and found the level fairly constant across presidencies, save for Clinton’s first years. But when it came to regulations labeled as economically significant, Obama’s record for the first 42 months of his presidency was 38 percent higher than the comparable period of Bush’s first term and 36 percent higher than the comparable period in Clinton’s. In an interview and in her report, Randy Rabinowitz, director of regulatory policy at the Center for Effective Government, cautioned that some of these comparisons can be misleading because the ""major"" rule threshold of $100 million has not changed since 1978, despite inflation. A rule costing $100 million in 1993, the first year of Clinton’s presidency, would cost $161 million today, according to the U.S. Bureau of Labor Statistics’ online inflation calculator. We know of no analysis of regulations that has taken this into account. Rabinowitz also noted that many regulations grow directly out of laws passed by Congress or ordered by courts, so presidents are not merely riding roughshod over the will of lawmakers or the public. Some of Obama’s biggest rules resulted from court rulings dating to Bush, with courts requiring environmental regulation after Bush balked. But Obama’s share of these or similar statutory or judicially required rules -- 48 percent of all the rules his administration finalized -- was not much different from the share Clinton had to deal with in his first term, nor the share Bush had in his second term. This doesn’t change the facts or statistics as stated by Portman: The Obama administration has put out ""more of these major rules than the Clinton administration or the Bush administration during comparable times."""
|
"The Obama administration has put out ""more of these major rules than the Clinton administration or the Bush administration during comparable times."
|
task1284_hrngo_informativeness_classification
|
task1284-0283577a55554997b81587d28467c295
|
You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.
System Reference: x is a restaurant near x.
Original Reference: x is a restaurant near x.
|
1
|
task1217_atomic_answer_generation
|
task1217-b6e6be86ea3d49a6977d9b17747f61e1
|
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX gives PersonX's mom ___
|
cake
|
task725_mmmlu_answer_generation_nutrition
|
task725-1047421948df46a0a28fdd80518aeba3
|
You are given a question on nutrition. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer.
Which of the following statements about the role of the intestine in development of obesity best describes the situation?
(A)Obesity occurs because gut hormone secretion becomes deranged and PYY secretion fails to give a satiety signal. (B)The gut/brain signalling pathway controls energy intake to within 2% of requirements, even in people who are morbidly obese (C)The problem is one of greed and gluttony, whereby people override strong satiety signals on a regular basis (D)Flavour signals from tasty, processed food will override satiety signals even after a large meal
|
B
|
task550_discofuse_sentence_generation
|
task550-b4982cf27bc248bbabd51821d1e457ab
|
In this task, you are given a second sentence. Your task is to generate the first sentence on the same topic but incoherent and inconsistent with the second sentence.
Meanwhile , the usage of any material submitted is solely dependent on the newspaper 's discretion .
|
Particularly , the paper states that it has no interest in collecting any commentaries from the public .
|
task379_agnews_topic_classification
|
task379-9250788e46424a37839c89d6635b17e2
|
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
Microsoft prepares to ship new corporate IM server Microsoft plans to sell two different versions of the new Live Communications Server with the 2005 version release: a Standard Edition and an Enterprise Edition designed for large corporations.
|
Sci/Tech
|
task299_storycloze_sentence_generation
|
task299-37fdaa587c91454b95b96bfb0afb3d30
|
In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the number of the missing sentence in the new story.
Sentence1: Lance wanted to have a romantic evening with his wife. Sentence2: He put the kids to bed early and started dinner. Sentence3: His wife arrived to the fire department. Sentence4: His wife was so angry she took the kids to sleep at the Grandmas.
|
3, He forgot to check the cooking and burned down the kitchen.
|
task565_circa_answer_generation
|
task565-221805797c1a4baa9644862535eeb85e
|
In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Are there things you'd prefer not to eat today?
|
I am avoiding sugar.
|
task366_synthetic_return_primes
|
task366-4a7ac69153464f6592fe0c2734208b6c
|
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
[125, 400, 383, 944, 763, 953, 466, 317, 601, 859, 43, 541, 641, 367, 351]
|
[383, 953, 317, 601, 859, 43, 541, 641, 367]
|
task684_online_privacy_policy_text_information_type_generation
|
task684-8b1abbf940b54112aeda935a387cb348
|
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
You can use privacy configuration settings (in the website or app) to control the use of unspecified information by an unspecified party for an unspecified purpose.
|
Unspecified
|
task848_pubmedqa_classification
|
task848-1b04d56f6def4b429df80b55d9c70c1d
|
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Serotonin (5-HT) neurons mediate the ectopic release of dopamine (DA) induced by L-DOPA in the Parkinsonian brain. We hypothesized that the participation of noradrenalin transporters (NET) in the clearance of DA may account for the lower effect of L-DOPA in extrastriatal regions compared with the striatum.', 'Using a multisite intracerebral microdialysis approach, we tested the influence of the pharmacological blockade of NET and/or the destruction of noradrenalin (NE) fibers on DA and 5-HT release in the striatum, hippocampus (HIPP), substantia nigra pars reticulata (SNr) and prefrontal cortex (PFC) of 6-hydroxydopamine-lesioned rats.', 'L-DOPA (12 mg/kg, i.p.) increased DA extracellular levels to a lesser extent in the SNr, PFC and HIPP compared with the striatum. The NET blockers desipramine (10 mg/kg, i.p.) and reboxetine (3 mg/kg, i.p.) potentiated L-DOPA effect in the PFC, SNr and HIPP but not in the striatum. The NE neurotoxin N-(2-chloroethyl)-N-ethyl-2-bromobenzylamine (50 mg/kg, i.p. 1 week before dialysis experiment) potentiated L-DOPA effect in the SNr and HIPP. 5-HT extracellular levels were enhanced only when L-DOPA was combined to NET blockers.
|
1
|
task294_storycommonsense_motiv_text_generation
|
task294-2c5c6c11bf7049f09fffd73dff45bb84
|
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. You can use context to find the motivation; however, all the inputs do not provide context. Also, in some inputs, there can be zero motivation; output, 'None' in this case.
Context: My coworker's son was allergic to peanut. One day, one of his classmates had a sandwich. His classmate offered him the sandwich.
Sentence: He forgot to asked what was the butter of the sandwich.
Character: Coworker's son
|
None
|
task506_position_of_all_alphabetical_elements_in_list
|
task506-a35b1494dfc447498174d646780aa3a6
|
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
['4185', '3937', '2775', 't', 'f', '7151', 'q', '415', '4953', 'w', 'M', '7457', 'a', '3293', '441', 'a', '2655', '6533']
|
4, 5, 7, 10, 11, 13, 16
|
task024_cosmosqa_answer_generation
|
task024-0ef6402e136b4d7ca4342fce7e78a6ae
|
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few words as possible from the given context. Use a response that is uncommon/non-stereotypical, so that it is less predictable. To be less repetitive, please vary your language for each question.
Context: Caroline was born in a hostel ' little better than a house of ill - fame ' , as Bess described it , outside Naples , and Clifford in Rouen . Bess was relieved when he was born later than she expected because she had been worried about the dates . Bess had many affairs and her child might as easily have been the Duke of Richmond 's son as the Duke of Devonshire 's . The name Clifford , one of the Devonshire titles , was carefully selected to demonstrate his paternity . Georgiana lavished affection on all the duke 's children , but there was one other child she longed to have closer to her : Eliza Courtney , her daughter by Charles Grey , who was taken from Georgiana just after her birth .
Question: Why was there so much emphasis on paternity and lineage ?
|
Such topics are big among royals .
|
task1419_mathqa_gain
|
task1419-cf9dac14c3934609ac4913ee1c21e58f
|
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'.
Problem: find the simple interest on rs . 235 for 3 months at 8 paisa per month ?
Options: a ) s . 57.8 , b ) s . 56.4 , c ) s . 29.3 , d ) s . 33 , e ) s . 74
|
b
|
task283_dream_incorrect_answer_generation
|
task283-0b9376c576124ebfa86f294a0b6e53c3
|
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
W: You've had a very dangerous life, haven't you, Joe? M: Yes. That's right. W: When was your worst accident? M: Last year. It was during the British Grand Prix. I knocked into a wall. The car was completely destroyed and my left leg was broken. Luckily nobody was killed. W: Is that the only time you've been..., er... close to death? M: No, I had a very frightening experience quite recently. I was frightened to death! I thought I was going to be killed at any moment. W: Really? When was that? M: It was on my way to this studio. I had to drive through London during the lunch hour., Question: What's the man's name?
|
Grand Prix.
|
task080_piqa_answer_generation
|
task080-dec49de47d4d49d29177b0997105c210
|
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
To cook out blood and impurities from beef, you can
|
Blanch it on the stove for 20 minutes
|
task116_com2sense_commonsense_reasoning
|
task116-6f53db12fae94062ba1778213a738861
|
You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'.
Danielle skipped her class. The teacher would be more critical if Danielle was visiting her sick mom.
|
False
|
task413_mickey_en_sentence_perturbation_generation
|
task413-5ca61c53489a4923b8490f77a9f03eab
|
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
You can use a science to dream more about nature .
|
You can use a robot to learn more about nature .
|
task616_cola_classification
|
task616-2a22e9718520406d81d58b6b5cdfe0fb
|
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "acceptable", otherwise "unacceptable".
I did, as Bill had thought, go to the store.
|
acceptable
|
task399_semeval_2018_task1_tweet_sadness_detection
|
task399-e15ef303538d47a29480e93bc7e32197
|
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
@MarianKeyes the pout tips me over the edge. I am most definitely AGIN. Who the feic bakes with full make up and boots with heels!!!!
|
Sad
|
task637_extract_and_sort_unique_digits_in_a_list
|
task637-d49b32935f344459abbf8a6bb6d36bd8
|
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
['479', 'v', 'q', '399', '455', '301', '407']
|
0, 1, 3, 4, 5, 7, 9
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.