task_name stringclasses 645
values | id stringlengths 40 41 | source stringlengths 62 335k | target stringlengths 0 13.8k |
|---|---|---|---|
task103_facts2story_long_text_generation | task103-20c1d09414b24d7a9cff0453bf24e729 | 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: Hewson is... | A lodge in Kanab, Utah, is where Los Angeles lawyer David Hewson goes for a peaceful vacation. He quickly is attracted to Beth Dixon, a switchboard operator and a former personal assistant to lodge owner Edmund Parry. The murder of playgirl Marsha Morgan, her throat cut, disrupts the peace and quiet. Sheriff Holmes beg... |
task303_record_incorrect_answer_generation | task303-ac70899614e94adb8756f0f182fad942 | 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 ... | Barclays Premier League |
task1338_peixian_equity_evaluation_corpus_sentiment_classifier | task1338-f7f1e34d29f24a99a652b6c257741b84 | The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
My aunt found herself in a dreadful situation. | fear |
task1720_civil_comments_toxicity_classification | task1720-b662bc8bc637460387064e81cc7c47df | Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
It will come as no surprise that I am lesbian by nature. It is possible, although highly unlikely, that I could fall in love with a man. I'll n... | No |
task303_record_incorrect_answer_generation | task303-fb36acdc32b64efcbd6c8d623be9e4b5 | 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 ... | George W. Bush |
task067_abductivenli_answer_generation | task067-0d11a52ba0ef46239fa6ab692736015b | 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 an... | He had a dream about his up coming concert. |
task456_matres_intention_classification | task456-68b954a180f74c35a18fde5ae0449ea1 | You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or part of a condition).... | No |
task1443_string_to_number | task1443-292995b607ba46dd806c0c5ba1af7ab2 | In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 295752186 |
task605_find_the_longest_common_subsequence_in_two_lists | task605-f6a5710ba6244e00930f0938b2cbaa33 | In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
[4419, 5015, 6059, 'W', 9007, 3481, '2407', 'Y', 'w', '4599', '5793', 'U', 'L', '2659', 'j', 'P', 9285, 4423, 2601, 'o', 9775], [6245, 2891, 5827, '2407', 'Y', 'w', '4599', '5793', 'U', 'L', '2659', 'N', 'y', 'b', 6927,... | 2407, Y, w, 4599, 5793, U, L, 2659 |
task672_nummersense | task672-0335f96b076345dda9dbb387f542f45d | In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Hippos have _ webbed toes on each foot and like to live in slow-moving or still waters. | four |
task851_synthetic_multiply_evens | task851-8017c140ff364ef0a1473b4148093810 | 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 sho... | [0, 0, -912, 20, 5440, -684, 32, 48, 28800, -14, 38, 24960] |
task194_duorc_answer_generation | task194-505c0c8ff6704da096ca74cddda77153 | In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
During a homicide investigation, FBI agent Terry McCaleb goes outside to address the media when he spots the killer in... | Answer: Dr. Bonnie fox |
task092_check_prime_classification | task092-7d6c2480b7e14215a945ea7f09d9fe2e | In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
65537 | Yes |
task303_record_incorrect_answer_generation | task303-7c5d982c23de47f1b4c0fc5d0b747e0e | 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 ... | CNN |
task1368_healthfact_sentence_generation | task1368-a9a5d1edbad9441c97e5c42a2b815201 | 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.
Th... | University of Maryland gets $200M contract for flu research. |
task1595_event2mind_text_generation_1 | task1595-85a0648e05a047e9a1048e36a32a2098 | The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
PersonX puts PersonX's ___ around PersonY | trusting |
task518_emo_different_dialogue_emotions | task518-964690bfb91248baa9db900329206a31 | 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: 'wat did u ask me how did u get to know that to c wat'. Dialogue 2: 'lets plan for a mov... | yes |
task377_remove_words_of_given_length | task377-2892b03d3f73440ebd9388c0437d5074 | In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'a giraffe standing inside of an animal enclosure'. Remove all words of length '9' in the given sentence. | a giraffe standing inside of an animal |
task183_rhyme_generation | task183-da213738c31b49e68499cb1bd7cc9d36 | Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
tone | own |
task183_rhyme_generation | task183-f413a617ecbd40d7b0238d9197cb0df8 | Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
eat | sweatt |
task002_quoref_answer_generation | task002-775bc3d5001a487abdbea0f40d149e8b | In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Passage: The titular Mindhunters are a group of young FBI students who are underg... | Vince. |
task1285_kpa_keypoint_matching | task1285-c32b0b46591542149f8d5b41c6bc3261 | 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.
Topic: We should legalize prostitution<sep>Argument: If we legalize and regulat... | False |
task1291_multi_news_summarization | task1291-736d961e6e044feb901a725d25fbb669 | In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
A scientist who recently visited the Great Barrier Reef has said "if it was a person, it would be on life support", as researchers strive to highlight the plight of the reef.
New images have... | Reports of the Great Barrier Reef's death are greatly exaggerated—and "wildly irresponsible," according to scientists. The Huffington Post reports Outside Magazine published an "obituary" for the reef on Tuesday, giving 2016 as the year it died. And while the article may have had its heart in the right place, coral sci... |
task092_check_prime_classification | task092-4859120841cd4b62b27f8649f9736020 | In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
79959 | No |
task377_remove_words_of_given_length | task377-9eb30e04eea0429c9fee31a2a99e9433 | In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'a peeled banana and cracked egg shells in a bucket'. Remove all words of length '3' in the given sentence. | a peeled banana cracked shells in a bucket |
task1361_movierationales_classification | task1361-f82d236a9a7b47c68ebb9f7fa5db426c | In this task, you must classify if a given review is positive/negative, indicating your answer as P or N.
i 've got to admit it . . .
i 'm a huge jim carrey fan .
i loved the first ace ventura , as well as the mask and dumb and dumber -- and even in batman forever ( which was a pretty awful movie ) , carrey was one of ... | N |
task673_google_wellformed_query_classification | task673-376f79fe46de4c8d8345e39f5141f3b3 | Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Bad |
task566_circa_classification | task566-00a53bfa88ca4818b947f957516fe939 | In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Sentence-1: I haven't read any in quite a while.<sep>Sentence-2: I like to read paper magazines . | Yes |
task756_find_longert_substring_and_return_all_unique_alphabets_in_it | task756-f2dbe620ea1c45a692eb7732aec6924f | In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
AEvmANmob, LhrmANmiVrz | a, h, i, l, m, n, r, v, z |
task405_narrativeqa_question_generation | task405-9b8ffb77fca24546bb569c2c8607162f | 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 cont... | Where does Mr. Cooke invite his guest to? |
task157_count_vowels_and_consonants | task157-bba8de05d446452ea5e0577d692af707 | 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 group of people are attending a wedding'. Count the number of vowels in the given sentence. | 15 |
task1217_atomic_answer_generation | task1217-ae37786264714084a9cb0a13a01b7418 | 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 drives ___ from work one night | the van |
task325_jigsaw_classification_identity_attack | task325-3d6a9d962f7b4ccf898d6b70c2837ee3 | In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Comment: ... | Identity-attack |
task934_turk_simplification | task934-3a01999b95f948a1a09b64c27cb35ad5 | 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.
it is the fourth metal gear game produced and directed by kojima and the direct sequel to metal gear solid. | it is the fourth metal gear game produced and directed by kojima and the direct follow-up to metal gear solid. |
task431_senteval_object_count | task431-c789f52d84094ceea4fcbd375a049467 | In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
I felt dizzy, then found myself emerging from molecular transport into some dark place. | Plural |
task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | task509-09ed23fa11e145a1adebd78c3d741c03 | In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input... | b, Y, H, 5109, 8893, 1539 |
task284_imdb_classification | task284-904a651a1c3e4922a392f4ba240a1ccb | In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
"A Guy Thing" tries to capture the feeling of "There's Something About Mary" or "Meet the Parents" but comes off more like it was edited up out of cutting-ro... | negative |
task611_mutual_multi_turn_dialogue | task611-fa1332ff9671445690ac17c9481959c7 | In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate... | D |
task303_record_incorrect_answer_generation | task303-7dbd4bde3b48478da161f374434868bb | 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 ... | Afghans |
task183_rhyme_generation | task183-5063ecd9b5f449379655621279d1e6ea | Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
led | imbed |
task820_protoqa_answer_generation | task820-be2d52c26f6345199a5abf5c8121b5c1 | 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 do, on average, once a week. | go to church |
task413_mickey_en_sentence_perturbation_generation | task413-a001901d320a4d5398332568580b0acd | 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 are ... | You are likely to find a credit card in a purse. |
task111_asset_sentence_simplification | task111-1b6a815c615445878ea3d85ce4a59f5a | Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler ones. The fina... | Cultivation of the Valencia in Orange County had all but ceased by the mid-1990s due to rising property costs. The remaining orange industry was driven out of Southern California and into Florida. |
task071_abductivenli_answer_generation | task071-e945fc6c900e4a919aed222ace80d20a | In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. 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 endin... | He was diagnosed with diabetes after gaining forty pounds. |
task573_air_dialogue_classification | task573-e631d15efb3e40059a8968e0f66c0137 | 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_reservation |
task904_hate_speech_offensive_classification | task904-84d5b5fa6a5c47f68eae99f23e2319dc | Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
If ... | Neither |
task280_stereoset_classification_stereotype_type | task280-8fba8889e9eb4814ae186f11f47604d8 | In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of ... | Race |
task471_haspart_answer_generation | task471-13b46738d3bb49e1b58b59c9b98d1935 | Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holo... | burn |
task929_products_reviews_classification | task929-e0e63b8d4e0f48b6b36e186cc35cdaa8 | 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.
My daughter has used it a couple times since Christmas to cook her egg rolls but I am not qu... | Good Review |
task159_check_frequency_of_words_in_sentence_pair | task159-38480be35e824b1aa473ab3de9b42228 | In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'two young girls laying in bed under a blanket', Sentence2: 'a kitchen area with purple walls and black cabinets'. Is the frequency of the word 'a' in two sentences equal? | Yes |
task636_extract_and_sort_unique_alphabets_in_a_list | task636-bbed2cd29b904d3b81720e686751d41c | 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.
['7763', '1177', '1319'] | -1 |
task295_semeval_2020_task4_commonsense_reasoning | task295-6df60ce2c83243809e89b2d43b15a185 | In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Peter caught a mouse in the sea
(A) some people are afr... | C |
task413_mickey_en_sentence_perturbation_generation | task413-b9554d92030f4cf69866fa129d5139ed | 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.
Some mom... | Some mom 's like to stay at side with their young husbands . |
task1451_drug_dose_extraction | task1451-917d5801c52447c096b9b61c63658b84 | In this task, you will be given sentences and a drug name in which your task is to indicate the doses of intake of that particular drug. A dose refers to a specified amount of medication taken at one time. Although there might be several correct answers, you need to write one of them.
We describe a patient with acute l... | high-dose |
task1406_kth_smallest_element | task1406-41c15e21fae94ef297a1c4b8b6172cbe | In this task, you are given a list of integers and an integer k. You need to find the kth smallest element in the input list and return that.
[249, 276, 166, 184, 281, 256, 290, 207, 279, 200, 287, 85, 289, 214, 27, 105, 147, 93, 232, 124], k=18 | 287 |
task389_torque_generate_temporal_question | task389-1a8b6b31c34b43c99027a941ffacd8a8 | In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/after/during/... something ... | What will happen in the future? |
task518_emo_different_dialogue_emotions | task518-e111cd5113814b4791a022940ff9234d | 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: 'you are really gone mad i am mad angryfaceangryface you are a robot right'. Dialogue 2:... | no |
task590_amazonfood_summary_correction_classification | task590-bebf726b87d94c46857d71b5c6ae0fcc | In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
I don't know how people could say this doesn't smell or taste bad. It is horrible!! I was getting raw goat's milk for quite a while and when we mo... | True |
task196_sentiment140_answer_generation | task196-d5807c8a360448ba839e882740fdb6e8 | 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: Cant sleep and ive got gcse exam in like 8 hours Question: is... | yes |
task1340_msr_text_compression_compression | task1340-3e4a00fe052f4cd9995d9202821d3e83 | Given a text, write a compressed version of it in a single sentence.
worrying sound working its way from his mouth that's not so much a mouthas a coin purse cinched tight, sewnwith the fragments of his lips--the yipping gait of breathlessness he makes, which makes no sense | worrying sound coming from his mouth that's not so much a mouth as a coin purse cinched tight, which sounds like a yipping gait of breathlessness |
task413_mickey_en_sentence_perturbation_generation | task413-0d75fe4881864c61ae4460ccffaadeec | 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 ... | You can substitute a boat to carry phone conversations . |
task820_protoqa_answer_generation | task820-85abd750260547f68e4d1d01be31647b | 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.
which movie should only be watched on a giant screen | lord of the rings |
task820_protoqa_answer_generation | task820-ea65edb2356242579294f25fe6dfb13f | 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 a tradesperson who helps build a house. | carpenter |
task460_qasper_answer_generation | task460-2cfd9aeaa3084782b49b926251e7dcfd | 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.
We used the relation classification dataset of the SemEval 2010 task 8 BIBREF8 . It consists of sentences which have been manually labeled with 19 relations ... | relation classification dataset of the SemEval 2010 task 8 |
task274_overruling_legal_classification | task274-e810432706874daa8739f9114f969fb0 | In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court which establishes a ... | overruling |
task495_semeval_headline_classification | task495-cc9b25c7f3c147358a708b0a20c8461a | Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
News Headli... | Funny |
task1368_healthfact_sentence_generation | task1368-08c5f225c3684a58b129e9950a139c35 | 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.
Th... | "JoAnne Kloppenburg Says state Supreme Court candidate Joe Donald twice ""supported"" incumbent Justice Rebecca Bradley." |
task1384_deal_or_no_dialog_classification | task1384-f1774f0587fb404db3a65a612b375fbb | Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: can i just get the books? YOU: that's not great for me. how about you get one book and two balls? THEM: i really can't accept that i want the books YOU: so you're dsaying the only thing you... | No |
task1217_atomic_answer_generation | task1217-91beec4f942746d1b4f81b2e3c07e0ca | 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 uses ___ all the time | records |
task1518_limit_answer_generation | task1518-93496dea540541c1a3efe10800109d01 | In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings t... | girl |
task521_trivia_question_classification | task521-a1b3305336a74208b0972792838e5679 | 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.
Children of this god include Enbilu... | Social Science |
task067_abductivenli_answer_generation | task067-88a5517ab42846529602092bdb8d8b16 | 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 an... | Sara gets up and gets dressed. |
task293_storycommonsense_emotion_text_generation | task293-dea5d18460e84737bf9d32b905ad2e13 | 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 return one of the emotions which are expressed by the Character in the given sentence. For ... | embarrassed |
task849_pubmedqa_answer_generation | task849-d4624be2c64e40889909b1b6c6046ea8 | In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: Current knowledge of the potential effects that several dietary lipids exert on immune functions indicates that these substances participat... | On the basis of these results, we can confirm that the administration of NAC improves survival in mice fed LF diet, whereas a reduction in the generation of superoxide radicals was measured in mice fed a FO diet and infected with L. monocytogenes. Similarly, bacterial recovery was diminished in mice fed diets containin... |
task1310_amazonreview_rating_classification | task1310-b97a5142b0614b719927c3b69cd94e54 | In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Very cute design for both the base and the controller. Soft touch silicon. Good vibration strengt... | 4 |
task587_amazonfood_polarity_correction_classification | task587-a9faecf8804a4155ae03f19a6006d366 | You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Regular Reduced fat milk from Horizon received slightly over a month away from the expiration date. My intention was to buy Whol... | True |
task380_boolq_yes_no_question | task380-7c5933487a6a4a4cbb64fd4cdc2904e3 | 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: The last Take Our Daughters And Sons To Work Day occurred on Thursday, April 26, 2018, with more than 37 million Americans at over 3.5 million workplaces p... | No |
task268_casehold_legal_answer_generation | task268-141463740b464581909bd665aac01cd6 | 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 ... | (A) |
task1600_smcalflow_sentence_generation | task1600-b233692b3bc34afda7e59f3d3658ab95 | In this task, you have given an input which is agent's reply, based on that you have to identify what will be users' command for that reply. The user generally asks a question related to event scheduling or information of the scheduled events. Agent reply based on the available information or do the task as per user co... | Yes that looks great |
task565_circa_answer_generation | task565-e492809919294cd68b74906622b05738 | In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Want to read this new crime detective book? | Do you recommend it? |
task607_sbic_intentional_offense_binary_classification | task607-d9acf3b3ca9c4245957b8036f4caf8ae | 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 underh... | Yes |
task323_jigsaw_classification_sexually_explicit | task323-f0a8ce9c56244bf88178b3d776075a69 | In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Comment: STFU NEWT! what happened to the man who forced "contract w/Am... | Sexual-explicit |
task374_synthetic_pos_or_neg_calculation | task374-479d5df788ac4639842f9a98d502368a | 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 presen... | [150, 68, 48, 99, 258, 207] |
task453_swag_answer_generation | task453-b2a3626103414b3a89376f16049b1e7f | Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
The worker grabs the rope to guide the camels and the camels start to walk. A child walks up to the worker and the man holds the rope out to the child, the child | grabs the rope and walks the camel's with the working man walking closely behind him holding a stick. |
task1551_every_ith_element_from_kth_element | task1551-864ccb5eea9b4aa6b330dae135786437 | In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
1, 2, ['y', '3559', '5425', '7963', 'H'] | y, 5425, H |
task413_mickey_en_sentence_perturbation_generation | task413-7e646cbd51f34923ab90de91e558010b | 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.
If you s... | If you want to grow vegetables then you should be a mushroom . |
task494_review_polarity_answer_generation | task494-2b1cff1765df4afa8ac4b30f3fa91a52 | Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Review: The style of wr... | True |
task608_sbic_sexual_offense_binary_classification | task608-6049d0b9dad94f579357db080d1bccfa | 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 sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Yes |
task684_online_privacy_policy_text_information_type_generation | task684-9b69dff166ca475db5e9a19db79f7e53 | 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
The site collects your demographic information for an additional (non-basic) service o... | Demographic |
task610_conllpp_ner | task610-e475531be2cb43b296ca34180537d55a | In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun ph... | Beaver <B-PER> once worked for the U.S. <B-ORG> Navy <I-ORG> and Sake <B-PER> is an amusement park veteran . |
task390_torque_text_span_selection | task390-35d6a3399fd848dd8aa11ea8f3ef59d3 | In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Passage: But an... | published |
task123_conala_sort_dictionary | task123-e5ed91c62ea943e6b116b7af0d8a0b84 | In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort t... | [{'first': -78, 'second': -47}, {'first': -34, 'second': -32}, {'first': -8, 'second': 49}, {'first': 2, 'second': 61}, {'first': 37, 'second': -73}, {'first': 48, 'second': -46}, {'first': 76, 'second': -14}, {'first': 88, 'second': -47}] |
task192_hotpotqa_sentence_generation | task192-6994b457d1e541df99aedbda5ac1752b | In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
Isidor Isaac Rabi ( ; born Israel Isaac Rabi, 29 July 1898 – 11 January 1988) was an Amer... | Isidor Isaac Rabi ; born Israel Isaac Rabi, 29 July 1898 – 11 January 1988 was an American physicist who won the Nobel Prize in Physics in 1944 for his discovery of nuclear magnetic resonance, which is used in magnetic resonance imaging. |
task668_extreme_abstract_summarization | task668-7867f5008bfb432994f3109057823a97 | 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.
Image paragraph captioning is the task of automatically generating multiple sentences for describing images in grain-f... | TEB Module for IPC |
task616_cola_classification | task616-1325d0b2f2e84cdc80c9d697c2f58db5 | 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 "ac... | unacceptable |
task405_narrativeqa_question_generation | task405-c213cb51e90d4485b2021dfd6f65c21a | 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 cont... | Who does Marilyn Monroe go skinny dipping with in this story? |
task453_swag_answer_generation | task453-4bf6898b83c742e89debd8bad342d964 | Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
In Asgard, someone stands in front of his throne, then turns and walks away. On earth, the Destroyer | pauses just in time. |
task600_find_the_longest_common_substring_in_two_strings | task600-f620a96337dd4d6bbc1f5ddec5805061 | In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
vAwBCWagxQiZkh, gdDAOWagxQFXr | WagxQ |
task074_squad1.1_question_generation | task074-b1f966f740274367bed3a87e89fed23c | This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | When did Flinders write his book of discovery? |
task897_freebase_qa_topic_question_generation | task897-bf8c6fcfde3a45d49e78f1ea337c53bc | Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
africa | Mount Kilimanjaro, the highest peak in Africa, is in which country? |
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