task_name stringclasses 645
values | id stringlengths 40 41 | source stringlengths 62 335k | target stringlengths 0 13.8k |
|---|---|---|---|
task1326_qa_zre_question_generation_from_answer | task1326-b2e582669add49b59ef14f90ad751093 | Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Context : The QBZ-95 was first observed outside China on 1 July 1997, when the United Kingdom transferred the sovereignty of Hong Kong to the Peo... | What year was QBZ-95 commissioned? |
task518_emo_different_dialogue_emotions | task518-1978e57adb8b4967ab7643db8b8ac78d | 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: 'she blocked me on whatsapp who may be she don't even love me anymore'. Dialogue 2: 'who... | no |
task1217_atomic_answer_generation | task1217-92d0331aa96d4b89a6f866ce9579b51c | 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 buys ___ every week | cans |
task496_semeval_answer_generation | task496-0a04a44cdd0440e292fe7b7ebd414047 | 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". ... | Yes |
task1310_amazonreview_rating_classification | task1310-a50b882023c94afa9c52577e17dce656 | 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.
I would rather have OEM style but these were cheaper and got the job done, some edges were a litt... | 4 |
task082_babi_t1_single_supporting_fact_question_generation | task082-cdbf6f0ba4574430a8642cf1fb7dee57 | In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Passage: Daniel moved to the garden. John went to the kit... | Where is Mary? |
task191_hotpotqa_question_generation | task191-b7f9ce64681145e89e24b8ac0afbfa95 | In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Context_1 : Chicherina, officially Yulia Dmitrievna Chicherina (Russian: Юлия Дмитриевна Чиче... | Nautilus Pompilius was an influential Soviet, and later Russian, rock band founded in 1983 by Dmitry Umetsky, and which person, that was born on October 15, 1961 ? |
task1291_multi_news_summarization | task1291-625a182e0f7f44189c9597fd79f608a8 | In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
What if I told you that “Game Change,” the acrimoniously anticipated HBO movie airing Saturday night, might make you feel sorry for Sarah Palin?
Weird, right? The movie seems to want you to ... | HBO's adaptation of Game Change debuts this weekend, and unlike the book, it's based entirely on Sarah Palin. Critics have gotten a look already, and here's what they're saying: It's a good movie, argues Hank Steuver of the Washington Post, and Julianne Moore is "eerily perfect." But it will play differently for differ... |
task147_afs_argument_similarity_gay_marriage | task147-a2ba02fda9be46d492ee841a7f6ceb8e | We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FA... | Not similar |
task1336_peixian_equity_evaluation_corpus_gender_classifier | task1336-a4888a8d9f8a4e4f82dedab860229dad | You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
I made Tanisha feel anxious. | female |
task904_hate_speech_offensive_classification | task904-3b9f4912dd5e4ab2b7747e6a1926da02 | 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.
I w... | Neither |
task496_semeval_answer_generation | task496-4d35ac7a46f940feac1ae434bcb1e98a | 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". ... | No |
task462_qasper_classification | task462-2f680ea5dfa54cb6b215c16f530907cc | In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering ab... | Extractive |
task582_naturalquestion_answer_generation | task582-fcfb019510834931a3ee46040ce58c5c | In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
who was involved in the ww1 christmas tr... | British |
task384_socialiqa_question_classification | task384-7d9f9e7ff6934aed8d79dc7c2b32b213 | In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Context: Cameron bought every copy of her b... | True |
task141_odd-man-out_classification_category | task141-305ca606bb0246cb9bd01bfc85272834 | Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Category: boxing terminology
Words: fight, knockout, head, deck, level | head |
task137_detoxifying-lms_classification_toxicity | task137-821fd5aa221e4d27bf3614859543fe77 | Given a prompt and two completions from a language model, select the completion that is the least toxic with respect to continuing the prompt. Toxicity is defined as a rude, disrespectful, or unreasonable statement that is likely to make you leave a discussion. Generate either Completion A or Completion B.
Prompt: typo... | Completion B |
task070_abductivenli_incorrect_classification | task070-25d45b9d0a124cf4af280461896934ff | In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Beginning: All Kevin wan... | 2 |
task207_max_element_lists | task207-831611592ead4fd19f900147392c39be | In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
[[82, -16, -60, 66,... | [95, 69] |
task905_hate_speech_offensive_classification | task905-f034838b8085411dbad18f22e83a8c48 | You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: @aj2amazing Obispo ho. We'll do it big
Label: Neither | true |
task114_is_the_given_word_longest | task114-cf066499930249fe8461d7d56e51ceb4 | In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Sentence: 'a burger ... | No |
task413_mickey_en_sentence_perturbation_generation | task413-6ff700619b9540b3b1f490dcd6181dea | 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.
Strummin... | Strumming a drone has the effect of producing noise . |
task668_extreme_abstract_summarization | task668-34b1a62abc4a449193f25f288d26c45a | 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.
Estimating covariances between financial assets plays an important role in risk management. In practice, when the samp... | Illustrates how the Gaussian Process Latent Variable Model (GP-LVM) can replace classical linear factor models for the estimation of covariance matrices in portfolio optimization problems. |
task113_count_frequency_of_letter | task113-9f617a92cc0e44ffa85fb83bec5c4763 | In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'the bagel sandwich has many ingredients inside of it'. Find frequency of the letter 's' | 4 |
task523_find_if_numbers_or_alphabets_are_more_in_list | task523-b4637c98619847e9b17eebc8efde1fb3 | 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 Alphabe... | Numbers Win |
task027_drop_answer_type_generation | task027-2df1b468600a4e49af0ffcc008ab6f86 | This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer ... | number |
task074_squad1.1_question_generation | task074-e839a124efc5446dabc8f8009b99e843 | 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... | Atticus Finch's children make friends with whom during the story? |
task579_socialiqa_classification | task579-4e3d443732bf4a97bd15599109970761 | In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Context: Kai stopped playing and their injuries started to heal after a... | Yes |
task1434_head_qa_classification | task1434-5bd406cfb9724b8bb1cc00f3977b7763 | In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Question: Glycolysis and hepatic gluconeogenesis are regulated reciprocally by facilitated hormonal ... | chemistry |
task405_narrativeqa_question_generation | task405-6e67738f8cd24de5bfab0112427534c3 | 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 is given the case to represent Dawson and Downey? |
task177_para-nmt_paraphrasing | task177-596b0b2216424c96a6d93d53b537ed3d | This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
`` i 'd like to know the real reason too , eminence . | 'i 'd also like to know the real reason , eminence . |
task1446_farthest_integers | task1446-40a8ec01909a498b9c018bafd1367a61 | In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
[93, 26, 54, 39, 9... | 72 |
task296_storycloze_correct_end_classification | task296-3ece0752352945228081294479662e79 | In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
Sentence1: Laura has always loves swimming, but she has never trie... | B |
task1312_amazonreview_polarity_classification | task1312-5d2fdcbf7a7a4277a7aa796df0dfe2a0 | 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.
Terrible smell for two weeks of airing out. Awful support after using for only about three weeks. Into the garbage. Kept the pillow cases which are ... | negative |
task387_semeval_2018_task3_irony_classification | task387-ee18438a4e3046ecb2c7706cace0cb15 | In this task you are given a tweet that contains some form of irony. You must classify the type of irony the tweet has. Label the tweets ("polarity","situational","other") based on the irony they have. Situational irony happens when a situation fails to meet some expectations, Label these instances as "situational". po... | other |
task430_senteval_subject_count | task430-4bb8a7160c1b4595bdb972696cfa7730 | In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
The Boy stood so fast the chair screeched against the cement pad and clattered to the ground. | Singular |
task904_hate_speech_offensive_classification | task904-e4461c0ab1a9481884015ef72d130e73 | 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.
I s... | Neither |
task103_facts2story_long_text_generation | task103-84caa8e925da457f9823001ac61eba6a | 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: scientist... | In 1961, scientist Dr. Paul Armstrong Larry Blamire and his wife Betty Fay Masterson drive into the mountains. Dr. Armstrong is searching for a meteorite that has fallen in the nearby woods, suspected to contain the rare element atmosphereum. Another scientist in the area, Dr. Roger Fleming Brian Howe questions Ranger ... |
task684_online_privacy_policy_text_information_type_generation | task684-3585a95abb4b4ae6a4fb608d2746f44c | 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 contact information for advertising. Collection happens when yo... | Contact |
task283_dream_incorrect_answer_generation | task283-2aaa8651702049999d0ed0b68bdf80e6 | 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".
M: Hello, Joan. Why are you late today? You are never ... | There are more and more robbers nowadays. |
task374_synthetic_pos_or_neg_calculation | task374-3aded56e2ab540639bd0f3993a6893d3 | 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... | [108, 124, 291, 158, 108, 114, 249, 0, 21, 158] |
task159_check_frequency_of_words_in_sentence_pair | task159-75b4b58ce4444805801c4e81575dea65 | In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'there re several luggage bags that are on the floor', Sentence2: 'a woman is checking the setting of her dinner table'. Is the frequency of the word 'setting' in two sentences equal? | No |
task079_conala_concat_strings | task079-91d8991bf23a47469d1c6c316f3586a3 | In this task you will be given a list of strings and you need to concatenate them.
['U', 'never', 'U', 'intense', 'V', 'known', 'G', 'barrels', 'J'] | UneverUintenseVknownGbarrelsJ |
task1296_wiki_hop_question_answering | task1296-71978b7aec2a4afebb8fe9a730505dbe | In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Context: Vatican City , officially Vatican City State or the State of Vatican City, is a walled en... | udine |
task380_boolq_yes_no_question | task380-22c6cbf5dae04f10a4e9ae12eee2f55d | 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: Shortly after the release of the group's fourth studio album Let There Be Rock in 1977, Evans was fired from AC/DC due to growing tensions with the Young b... | No |
task1445_closest_integers | task1445-cf7af6d0d2874d99b7f96a9f96efb693 | In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
[-9, -57, 53] | 48 |
task064_all_elements_except_first_i | task064-68b5e03efa2b417c8e9795fb0acd6241 | In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
4, ['3743', '8507', '5487', '7503', '7341', '9625', '7891', '3063', 'S', '1275', 'E', 'd', '9443', 'D', 'j', 'F', 'E... | 7341, 9625, 7891, 3063, S, 1275, E, d, 9443, D, j, F, E |
task067_abductivenli_answer_generation | task067-a16beae13ec94fd38e1be70d5a8d3963 | 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 looked for another job. |
task1210_atomic_classification_madeupof | task1210-eb8e9d0d215a44fd9c314ed5fa312b6f | In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes |
task091_all_elements_from_index_i_to_j | task091-f84be2c876b54ff58ddaea35567f8ab4 | In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
9, 15, ['d', '8563', 'B', '5281', 'x'... | V, 9841, 703, H, 5739, v, 4401 |
task846_pubmedqa_classification | task846-7d1c5a04c51e433582d867b2134775e0 | 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 dietary vitamin B-6 restriction alter rates of homocysteine ... | no |
task617_amazonreview_category_text_generation | task617-6bb0c8f84c4f474fb68bf6950d699357 | 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 p... | beauty |
task164_mcscript_question_answering_text | task164-98fb5c64f1144df68afde6f0d175ed83 | 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 ... | The dishwasher. |
task247_dream_answer_generation | task247-8bb1801609734cffbf1b1a0294c543bd | In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
W: You are interested in sports, aren't you? M: Yes. I go swimming once a week and play tennis twice a mon... | (A) Once a week. |
task299_storycloze_sentence_generation | task299-94caf7bc8f7b489ca8b1781b451b62b1 | 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 nu... | 5, Trip enjoyed the flavor of the seeds. |
task303_record_incorrect_answer_generation | task303-0bf68e8328bc420095b91608941c34bb | 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 ... | Natalie Kizelewicz |
task1355_sent_comp_summarization | task1355-56a349ab9e7b4ec09cc5bb2ffdc4a92b | In this task, you are given a piece of an article. Your task is to generate a short summary of the text. Try to give the summary in just one sentence.
An investment guru who owns a $2 million, 10-bedroom mansion in Connecticut was busted for smuggling a knuckle knife through LaGuardia Airport security, officials said T... | An investment guru, was busted for smuggling a knife through LaGuardia Airport security, officials said. |
task471_haspart_answer_generation | task471-0e9897da7d7a4d92805852f72e6742f2 | 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... | rostral organ |
task311_race_question_generation | task311-4d080d8948724014bee172067d26aeb8 | In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: The United States is already one year into a depression That was the news this week from the Na-tional Bureau of Economic Research. The downturn is the longest since a depressio... | Why were the automakers refused for federal aid two weeks ago? |
task293_storycommonsense_emotion_text_generation | task293-018a6a3c998748cbbf7d7cc33436e5b9 | 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 ... | None |
task228_arc_answer_generation_easy | task228-7bc0cd5c4a4d4593b68c0164687fc53f | You are given a science question (easy-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 ... | A |
task208_combinations_of_list | task208-f669f572185b41e7a2e4e5ac98ab4966 | In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['2', 'G', 'c', 'w'], ['2', 'G', 'c', 'u'], ['2', 'G', 'w', 'u'], ['2', 'c', 'w', 'u'], ['G', 'c', 'w', 'u']] |
task1217_atomic_answer_generation | task1217-327686724db24bfdb3340a8e673ff3f5 | 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 brings another ___ | ball |
task303_record_incorrect_answer_generation | task303-c11fe270e9674def9ccebcb8c7732b3f | 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 ... | Hampshire |
task633_dbpedia_14_answer_generation | task633-4a3cb8bda71f4820a22ec50df63e3755 | In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Context: In taxonomy Bolbocoleon is a genus of algae in the family Chaetophoraceae.
Question: The document can be cl... | 1 |
task587_amazonfood_polarity_correction_classification | task587-0b0d0e1eba1c44918e999195520fcbf5 | 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".
<span class="tiny"> Length:: 0:19 Mins </span>It took my dog no more than 4 hours to destroy this. First off there are two typ... | False |
task1446_farthest_integers | task1446-ca48ee45926340babeff6e311665ecf2 | In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
[93, -86, -9] | 179 |
task848_pubmedqa_classification | task848-b89d15d34e9d41459ecd64e3ac22c83e | 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.
One of the two parental allelic genes may selectively be expressed, regulated by imprinting, X-inactiv... | 1 |
task303_record_incorrect_answer_generation | task303-41d577b884ab4167b5ef9fbc1d2f3970 | 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 ... | Seminole County |
task070_abductivenli_incorrect_classification | task070-7e3608b69c904fd9a3547ae7c495bae6 | In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Beginning: It had been r... | 1 |
task333_hateeval_classification_hate_en | task333-90377a1bbdcc43b2a7b7875afa2b86fb | In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Hateful |
task405_narrativeqa_question_generation | task405-dfb0057546d947d39ea282f14d7e4b6f | 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... | What does Tocqueville blame for the negative influence of religion in France? |
task283_dream_incorrect_answer_generation | task283-4aa924b06be546fa9121753c6cc5e38f | 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: I wish I hadn't hurt Linda's feeling like that yest... | She is considerate. |
task078_all_elements_except_last_i | task078-3dc4e259c6e146c680a89c28a71a257e | In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
1, ['S', 'p', '9551'] | S, p |
task124_conala_pair_averages | task124-e7a112686c0c4e6ca86d1c164549ef26 | In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, lik... | [70.5, 46.0, 16.0] |
task475_yelp_polarity_classification | task475-16ff73cf87b5440cb88239ab5b4378c2 | In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Went here the other day and I have to say I was NOT impressed. We walked in and loved the atmosphere right away... | NEGATIVE |
task322_jigsaw_classification_threat | task322-654ffb3df4eb49eaa35c3ac2ccbf55a7 | In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Comment: I too am a feminist who is sickened by t... | Non-threat |
task1338_peixian_equity_evaluation_corpus_sentiment_classifier | task1338-cb1a82ecb66a463b83c91c47b88e08e3 | 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.
The situation makes Tanisha feel furious. | anger |
task587_amazonfood_polarity_correction_classification | task587-39409aa1120b42aabc6a2f554641bf9b | 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".
For you spicy lovers, these jalapeño Cheetos are for you. The taste is great and I admit I did not expect them to be this... | True |
task1400_obqa_incorrect_answer_generation | task1400-d47ff7e7fd1e460eb8f29832834e5996 | This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Fact: as a source of light moves directly overhead of an object , the size of the shadow of that objec... | rise |
task326_jigsaw_classification_obscene | task326-4f9c3d3cc8a4474cb72d053a025a69fb | In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Non-obscene |
task071_abductivenli_answer_generation | task071-ff4c5b466b6c4e008ea8b17cb1fc612a | 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... | Jim gets a good night's rest. |
task389_torque_generate_temporal_question | task389-a654c70d4c564b4197b51c0a6aa9f041 | 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 happened before the U.S. soldiers started massing in Saudi Arabia? |
task431_senteval_object_count | task431-a65812ff25bf47d7a2e30816a791a2e3 | 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 even love my students. | Plural |
task1678_mathqa_answer_selection | task1678-7b4cd5d2c0654bdf89d0cdc364458aeb | Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Problem: a chemical supply company has 60 liters of a 35 % hno 3 solution. ... | a |
task111_asset_sentence_simplification | task111-4a0f6a98acf34ccaa7478a6bb289c1b6 | 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... | It was founded around 1958 and 1959 by Malaclypse the Younger. It was with the publication of its principal text, the Principia Discordia. |
task158_count_frequency_of_words | task158-e26712b969c4495683a2a7ae09604109 | In this task, you need to count the occurrences of the given word in the given sentence.
Sentence: 'a guy on skis is being pulled by a boat full of people'. Count the occurrences of the word 'skis' in the given sentence. | 1 |
task1293_kilt_tasks_hotpotqa_question_answering | task1293-923d9285ef5848079fc706615593f909 | In this task, you are given a question. You have to answer the question based on your information.
What area is the unincorporated community in the Florida county created in 1855 part of? | Bradenton–Sarasota–Venice Metropolitan Statistical Area |
task673_google_wellformed_query_classification | task673-5818748962ae44c19cc244a4807ec4f5 | 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... | Good |
task1285_kpa_keypoint_matching | task1285-d97ef8a2cffc4ba79b20ae595914f14f | 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 prohibit women in combat<sep>Argument: Women are physically we... | True |
task149_afs_argument_quality_death_penalty | task149-556b7fc0b40349ff9399d0271a04ed14 | We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty.... | Valid |
task145_afs_argument_similarity_death_penalty | task145-0b3627d1a68c41e39cfd1f2fa2bba3e1 | We would like you to classify each of the following sets of argument pairs (discussing Death Penalty) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A F... | Not similar |
task592_sciq_incorrect_answer_generation | task592-906ec1b41b6749d793b924656e1eab09 | Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
What has a single voltage source and a single... | complex circuit |
task1288_glue_mrpc_paraphrasing | task1288-9f15ac4d30804fd88904027097eca49f | You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Sentence1: On Monday , the Dow declined 5.25 , or 0.1 percent , at 8,983.80 , having shed 2.3 percent last week ., Sentence2: In early trading , the Dow Jones industrial average ... | Yes |
task1311_amazonreview_rating_classification | task1311-f51965ff052541b8ae78d4e4b893a12c | In this task, you're given a review from Amazon and 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. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | True |
task928_yelp_positive_to_negative_style_transfer | task928-ed23f78dae8a4cfe9183700b09ed8533 | In this task, you are given a positive review and your task is to convert it to a negative review by making minimal changes. Avoid changing the context of the review.
overall really good quality food and service . | overall the quality of the food , and the service was n't that good . |
task365_synthetic_remove_vowels | task365-525c5e7994b54ddc9d951924f420bc03 | In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
lEzUPoIPacaBdOZBcd | lzPPcBdZBcd |
task1729_personachat_generate_next | task1729-688c6ac84225494ca8fb3494553b091b | Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Personality: My favorite ... | I collect and sell pine cones. |
task1447_drug_extraction_ade | task1447-c15dd4254acc45618a537358bc49346f | In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct... | phenelzine |
task1595_event2mind_text_generation_1 | task1595-a4400095351a4a768db5156c1a9e5e09 | 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 walks ___ from work | contented |
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