task_name stringclasses 645
values | id stringlengths 40 41 | source stringlengths 62 335k | target stringlengths 0 13.8k |
|---|---|---|---|
task1661_super_glue_classification | task1661-251870bb0af24d68b8de3ca9520f73eb | In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Passage: Alex Cross's Trial -- Alex Cross's Trial is the 15th novel in James Patterson's Alex Cross series. It follows Cro... | 1 |
task363_sst2_polarity_classification | task363-097b96e750d6459789af0b9f1409d845 | In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
A pale Xerox of other , better crime movies . | NEG |
task390_torque_text_span_selection | task390-bf4cf39ce14e4f8484a0c2a18ec1f4ee | 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: He sai... | said |
task390_torque_text_span_selection | task390-3ce86fbc31dc48f29306f5b3069fb7dd | 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: The $1... | had |
task1207_atomic_classification_atlocation | task1207-f2c95b7d40674a60b5b1c1ca8be5e27a | 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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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... | No |
task735_mmmlu_answer_generation_us_foreign_policy | task735-a156885053cb4224a8c453e64ded35db | You are given a question on US foreign policy. 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.
Within the United Nations, real... | A |
task112_asset_simple_sentence_identification | task112-ca4d6540e2bc40b8918f86e541b5b657 | You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text one |
task405_narrativeqa_question_generation | task405-05b3ce04d19a404cb9a8413353f7f63c | 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 Commodore Hawser live with? |
task195_sentiment140_classification | task195-0b894f455c5c4515ac16e67f66f124cc | 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.
Church, and Jersey Mike's for lunch makes my day very boring so far. I hope I get to start my new workout routine today. | negative |
task069_abductivenli_classification | task069-4579bf64152b46fabc6d77bf0c622f3c | 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 coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Beginning: I bought a new n... | 1 |
task566_circa_classification | task566-39eef1372ce1446789319c816e509101 | 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: All my life.<sep>Sentence-2: I have been thinking of moving to New York for a long time . | Yes |
task615_moviesqa_answer_generation | task615-c73d6429ca564986940811c44e236af9 | You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
what is popular opinion about Enemies Closer? | okay |
task592_sciq_incorrect_answer_generation | task592-f6a75e14a3724180b8909872c4d7e5c4 | 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 general property of an earthquake is used... | resonance |
task607_sbic_intentional_offense_binary_classification | task607-8db0b920b6d34420bd6bfb6ff59d7e45 | 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 |
task074_squad1.1_question_generation | task074-e5d7bd16045d4814aa6c6d6d17d57eea | 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... | What surrounds the Sichuan basin to the west? |
task369_synthetic_remove_odds | task369-7433882df5d342fd89b711dc86aa5a5a | In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[-85, 46, -5... | [46, -52, -34] |
task1419_mathqa_gain | task1419-d3f52b8752cd405da0adbdb704eeee0a | 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: at joel ’ s bookstore , the current inventory is 30 % historical fiction . of the historical fiction books , 40 % are new re... | b |
task285_imdb_answer_generation | task285-34100880e5d64205b928fe109a07841c | In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Review: Sort of family parody blending "An Officer And A Gentleman"... | yes |
task1729_personachat_generate_next | task1729-5004547650dc461d85a65ec4d8ee8ec9 | 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: I love meat.... | That is so fun! No dogs for me, I love pizza so much I do not have any. |
task165_mcscript_question_answering_commonsense | task165-afbaf8197e5f44d791ca4d35f5f045f3 | 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 o... | Luggage |
task074_squad1.1_question_generation | task074-4d79a389a6414bff95b110720fb3059a | 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... | What is the average age of students on KU's Edwards Campus? |
task1384_deal_or_no_dialog_classification | task1384-c790be5dcc20454ea3c3a4f69298cb38 | Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: hi i would like the book and hat and you can have the balls YOU: thats a dal. | Yes |
task1595_event2mind_text_generation_1 | task1595-9189b00e0ab64905b46ea249ca77da36 | 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 refers the ___ to arbitration | just |
task821_protoqa_question_generation | task821-dfff29319dc44694b09c4d5b0630618a | Construct a question that every answer in the list is correct and reasonable for it.
exercise, spicy food, too hot, nervous | name a reason you might get sweaty. |
task205_remove_even_elements | task205-df5593f66ab7446091fd65bdb4182c60 | In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
[146, 198, 1... | [141, 59, 187] |
task377_remove_words_of_given_length | task377-6fe270836300483d8c190266606968c0 | 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 big cat and a small cat sitting down with their backs turned'. Remove all words of length '1' in the given sentence. | big cat and small cat sitting down with their backs turned |
task303_record_incorrect_answer_generation | task303-4f28c085641645aa824f0b90717a7857 | 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 ... | Phil |
task1336_peixian_equity_evaluation_corpus_gender_classifier | task1336-3e27de7f8be74ddbbcbb67805f226936 | 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).
This boy told us all about the recent funny events. | male |
task506_position_of_all_alphabetical_elements_in_list | task506-ec59ddcd66da4a98b9a0469168609072 | 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.
['O', 'F', '... | 1, 2, 5, 7 |
task638_multi_woz_classification | task638-8868fe08f004405db824673731cbe5c2 | You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Sentence1: The Huntington Marriott Hotel is located in the west part of town and is a 4 star rating. Sentence2: Yes, can you help me find a place to dine that is in the same area as the hote... | Answer: (A) User |
task228_arc_answer_generation_easy | task228-111ee935194d43c5bb152d6da960969f | 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 |
task080_piqa_answer_generation | task080-97538576a0d644f599db8276b2148435 | 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 make s... | Bake baking soda in the oven for an hour |
task629_dbpedia_14_classification | task629-1c9d6bf8c6c0405b8bbfbaa19068bf06 | In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these 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)Fil... | 6 |
task596_mocha_question_generation | task596-1bf73e33292942c9a083b27a265702ad | In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Austin got sunburned because they thought that sunscreen was a silly thing to use. | How would you describe Austin? |
task1502_hatexplain_classification | task1502-db5915909ff04189a6c1b36856327937 | 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.
an... | Offensive |
task103_facts2story_long_text_generation | task103-43a2eb27e2d6420682691d27ec40d371 | 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: Parijatha... | Parijatham Kushboo was a famous folk dancer in her village and many rich landlords tried to woo her. Parijathams mother Pattamma wanted a soninlaw who will let Parijatham dance after the marriage. She finally got married with another folk dancer Palanisamy Sivakumar. Palanisamys brother Kottaisamy Selva was a good for ... |
task413_mickey_en_sentence_perturbation_generation | task413-462730330c50448a80ab356116da1485 | 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.
People w... | People give shoes because they do n't want their feet dirty . |
task1288_glue_mrpc_paraphrasing | task1288-df2a05dca2d9438b9cae8d9a47a30b34 | You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Sentence1: A big surge in consumer confidence has provided the only positive economic news in recent weeks ., Sentence2: Only a big surge in consumer confidence has interrupted t... | Yes |
task194_duorc_answer_generation | task194-d5ebb67284a44584b80363d78bc009aa | 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.
In 1967, a pregnant woman is attacked by a vampire while giving birth. Doctors are able to save her baby, but the woma... | Answer: Sunlight and silver. |
task196_sentiment140_answer_generation | task196-c946946499c240f4842fab9c9b06dc4e | 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: Packing heading home tomorrow Question: is it a positive twee... | no |
task574_air_dialogue_sentence_generation | task574-8c1ed143036e4e14a8e97b2b18ecedbd | 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... | agent: Hello. How may I help you? |
task453_swag_answer_generation | task453-82509a2190634c2b9e22045083415295 | Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
The noblewoman bends down and removes her ornate slipper, revealing her tiny bound foot still wrapped in bandages. She | massages her big toe and winces. |
task284_imdb_classification | task284-f878c3a67aaf488f8b26373d49edd382 | 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.
The Ring was made from the only screenplay Hitchcock wrote himself and it deals, as many of his earliest pictures do, with a love triangle. At first glance, ... | positive |
task593_sciq_explanation_generation | task593-c8004ca920c542a9ba2b53f1329d9dbe | Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Question: What organism is responsible for most decomposition in forest? Answer: fungi | Most fungi are decomposers. They are the main decomposers in forests. Many fungi have symbiotic relationships with other species. |
task155_count_nouns_verbs | task155-ce0a2519e6224ec99b63098b507f0280 | In this task, you need to count the number of nouns/verbs in the given sentence.
Sentence: 'A young cow looking out through a cage.'. Count the number of verbs in this sentence. | 1 |
task333_hateeval_classification_hate_en | task333-4cd79ba0914743d6a65466128d20542b | 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... | Non-hateful |
task066_timetravel_binary_consistency_classification | task066-df8d3199dcb346e5884f87076f49876a | In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | Yes |
task067_abductivenli_answer_generation | task067-7dfe177cc6ab4dc4b200b869b7ac9fd0 | 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... | ina started a new ab routine from a youtube video. |
task1339_peixian_equity_evaluation_corpus_text_completion | task1339-02b6991568b94d35879d1554c4615151 | The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness'].
SENTENCE: The conversation with Nancy was <blank>.
EMOTION: fear | The conversation with Nancy was shocking. |
task376_reverse_order_of_words | task376-b32e9efdfc4c4e22906ecc6d6d1dfb7e | In this task, you need to reverse the order of words in the given sentence.
Sentence: a dog is laying down surrounded by bird feathers and a beer bottle | bottle beer a and feathers bird by surrounded down laying is dog a |
task592_sciq_incorrect_answer_generation | task592-39e0dab0d9e64de3ad5fed39de4668cf | 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.
When volcanoes erupt, what from the mantle is ... | vapor |
task1364_hans_answer_generation | task1364-ff225314e17e4c599d6c448a7e2261a2 | 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 lawyer menti... | The secretaries mentioned the lawyer . |
task1420_mathqa_general | task1420-2edc21018a284bf59ed06702a271e3d9 | In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: if 25 % of a number is subtracted from a second number , the second number reduces to its 4 - sixth . what is the ratio of the first number to the second number ?
Op... | b |
task283_dream_incorrect_answer_generation | task283-0c1f20199fe14cd0979c1dbf28d12448 | 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: I'm frustrated. We're supposed to do our assignment... | She can't finish her assignment, either. |
task383_matres_classification | task383-643c87374de148ed97083a63835c3b5f | You will be given a context and a verb separated with a newline character, and you have to answer if the given verb can be anchored in time or not. We say a verb can be anchored in the real timeline if and only if a verb happened in the past, is happening now, or is guaranteed to happen in the future. The output should... | No |
task132_dais_text_modification | task132-55360c8863de4d4e86e19c64f09f3de6 | Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Juan chanted her something | Juan chanted something to her |
task066_timetravel_binary_consistency_classification | task066-04db3527589b4a1ebced01ac47510134 | In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | Yes |
task301_record_question_generation | task301-2114fa7151614a8ba97b07b97ad92f76 | In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
(CNN) She spoke ou... | The government recommends _ recipients apply for a renewal between 150 and 120 days before their status expires. |
task371_synthetic_product_of_list | task371-4ba2ac204f2b4af79467c1247059bfa8 | In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
[[-37, -6, 37, -37], [-28, -21, -21], [32, 33, 13,... | [-303918, -12348, -13728] |
task1446_farthest_integers | task1446-89ec33e7f22140208a9b81ef0f086bc9 | 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.
[7, -61, -48] | 68 |
task900_freebase_qa_category_classification | task900-63f4d63850784c0aa3dd9722a64fb548 | Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | location |
task618_amazonreview_summary_text_generation | task618-b45af71d7e7a44219b8be9d24b290e68 | In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Good product but wish they make it more concentrated very weak you need to take 3 or 4 pills a day to benefit from it | Good product but wish they make it more concentrated very ... |
task284_imdb_classification | task284-3fd3a6b8bef5489cbffae16834b54bb4 | 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.
Nothing can prepare you for another lousy bimbo outing! This time, it's being brought to you by the never-inevitable Fred Olen Ray! As far as exploitation mo... | negative |
task163_count_words_ending_with_letter | task163-172f132b71924c6897e38ba876e0a827 | In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'a stuffed bear wearing a white dress and pink bow sitting on top of a street pole'. How many words end with the letter 'n' in the sentence. | 1 |
task1217_atomic_answer_generation | task1217-1ca0099e642245acb28ac6aa7b7eb54e | 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 sees ___ at the zoo | lions |
task1419_mathqa_gain | task1419-8b19c0d3ed4a4390ba79ca3fdb8183c8 | 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: if 15 % of 40 is greater than 25 % of a number by 2 , then find the number is ?
Options: a ) 20 , b ) 15 , c ) 16 , d ) 25 ... | c |
task413_mickey_en_sentence_perturbation_generation | task413-3a893b8dbd0846baa643acba7d4e9939 | 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 delighted to find a course in a PhD . |
task369_synthetic_remove_odds | task369-694b746781f149c0927939d695532761 | In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[-92, 28, 51... | [-92, 28, 72, -76, 86, -6] |
task1326_qa_zre_question_generation_from_answer | task1326-c084b68be8d74689b85bde106e26425e | 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 : In May 2011 Metismo was acquired by Software AG for an undisclosed amount.
Answer : Software AG | What company is Metismo part of? |
task369_synthetic_remove_odds | task369-ad001da6bb6a45298e1827d0f0066eb9 | In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[79, 51, -11... | [72, 26, -72] |
task1447_drug_extraction_ade | task1447-2537cc436b3b41c5a40e34af495e5a25 | 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... | zuclopenthixol |
task405_narrativeqa_question_generation | task405-689ae2ec870041d9a9e68f9435ffa0cc | 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... | Why was Anna in Yalta? |
task505_count_all_numerical_elements_in_list | task505-1a4ee89b7dc04b0982c20ad6fbefc16e | In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
['U', '833', 'f', 'K', 'j', 'h', 'W', 'w', 'b', '5503', '4257', 'j', 'C', 'M', 'O'... | 7 |
task111_asset_sentence_simplification | task111-84019051503b48f59b3b021025112bd6 | 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... | Leicester is the largest city in the region. The largest conurbation is the Nottingham Urban Area. |
task228_arc_answer_generation_easy | task228-3f7621ab8ec7477488aa250dfde40ae2 | 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 ... | D |
task1210_atomic_classification_madeupof | task1210-c10d060ab27b41e091c564947609566d | 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... | No |
task370_synthetic_remove_divisible_by_3 | task370-7e96ec3060204e6fbffc88c32d61c17f | In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
[-40, 13, -86, -70, 30, 50, -12] | [-40, 13, -86, -70, 50] |
task132_dais_text_modification | task132-ade1e6571c4f413da895667295dfc99b | Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
John hurled a woman from work a ball | John hurled a ball to a woman from work |
task469_mrqa_answer_generation | task469-a23e99fe286c4ed59e4098354590cb4e | 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: Rose Elliot (Irene Miracle), a poet living alone in New York City, discovers an ancient book called The Three Mothers. It tells ... | matthew, mark, luke, and bing. |
task196_sentiment140_answer_generation | task196-b9bbb58b27d34aefaa1ec3778ea6db18 | 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: @phdinparenting I have and will again. Off to read your post.... | no |
task609_sbic_potentially_offense_binary_classification | task609-7137b3651c32447c90c7c6ff048c1c94 | 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 potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racia... | Yes |
task374_synthetic_pos_or_neg_calculation | task374-822a2b4bf3f5468e9119c8c1281e4136 | 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... | [168, 33, 114, 78, 104, 237] |
task1603_smcalflow_sentence_generation | task1603-716e178dff1a41f7984cb6fcdb98f8c3 | In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
thank you. I need to create a birthday event for April 23, 2019. | Does one of these work? |
task194_duorc_answer_generation | task194-329a54e267994b40a3bd6b92303a62af | 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.
The year is 1923 in England and General Hetherton is instructing his grandson Jim to shoot with a rifle. Unfortunately... | Answer: General Hetherton |
task590_amazonfood_summary_correction_classification | task590-5005d4eeb9d545a68d95b3da42b03b98 | 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 would never buy this cake. It looks horrible. Some of the fondant work on this seller's other cakes is shabby the piping is horrible...worse tha... | True |
task1422_mathqa_physics | task1422-50d14b4fd52f4940851f3aa6b432e529 | In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: one pipe can fill a pool 1.25 times faster than a second pipe . when both pipes are opened , they fill the pool in 4 hours . how long would it take to fill the pool if onl... | d |
task1704_ljspeech_textmodification | task1704-2d2d4c0ec4804221b38e0269a95e5043 | The task is to read a passage and convert numbers in their text forms into digit forms. The text numbers can be used to represent Quantity, Dates and Time, Addresses or Positions.
This was one day before Oswald left for New Orleans and Marina appeared certain that the Nixon incident, quote, | This was 1 day before Oswald left for New Orleans and Marina appeared certain that the Nixon incident, quote, |
task166_clariq_sentence_generation | task166-29b6e428e8d14b63a66280e3f7721b45 | Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to understand the given questio... | are you a collector |
task1288_glue_mrpc_paraphrasing | task1288-7582467b5b554abca4279e02eeea48d8 | You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Sentence1: Judge Philpot told Dica : " There is no evidence of your remorse ., Sentence2: A judge branded Mohammed Dica 's behaviour " despicable " and added : " There is no evid... | No |
task591_sciq_answer_generation | task591-737bee024a894c9b8532970bcbcb06db | Given a scientific question, generate a correct answer to it.
After ovulation occurs, the moving “fingers” of what nearby structure sweep the egg into its tube? | fallopian tube |
task067_abductivenli_answer_generation | task067-db79fe8ec1e94bbd8ab88c1f638c6868 | 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... | Ken found some leftovers in his fridge. |
task905_hate_speech_offensive_classification | task905-6f37f895ac354b4aa80d1e87ff98dadd | 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: Ok. Did this bitch just say wut I think she.said? I believe u just described urself... | false |
task576_curiosity_dialogs_answer_generation | task576-a92684270158490996a0c146fef05678 | In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Good to know, how about one more fact on their history?
I see, they head for larger cities... How about one more fun fact about the is... | Popular migration points for grenatians furhter north include new york city, toronto, the uk (in particular , london and yorkshire, see grenadians in the uk) and sometimes montreal, or as far south as australia. |
task320_stereoset_classification_race | task320-a272cd897727416cba6332715020f031 | You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea th... | anti-stereotype |
task397_semeval_2018_task1_tweet_anger_detection | task397-d6fb37d32275416d8a131b7d00cc40df | In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
My blood is boiling | Angry |
task567_circa_text_generation | task567-a4967aa0cec447518e0090f3594161d5 | 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.
Do you want to hang out later? | X and Y are colleagues who are leaving work on a Friday at the same time. |
task574_air_dialogue_sentence_generation | task574-0bb33d12c9cd46188c68f3175a876e75 | 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... | customer: My source point is Chicago, IL-ORD. |
task027_drop_answer_type_generation | task027-0e9bce439ba14c048f850f93b62ab73e | 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 ... | date |
task339_record_answer_generation | task339-c2c04677a01d4b849ca8047e99969370 | In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
President Barack Obama delivered a stinging... | Bill Cosby |
task268_casehold_legal_answer_generation | task268-b0705a77dab5471695f42482501e91d1 | 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 ... | (C) |
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