task_name stringclasses 645
values | id stringlengths 40 41 | source stringlengths 62 335k | target stringlengths 0 13.8k |
|---|---|---|---|
task125_conala_pair_differences | task125-30fcb9959e3548fc8160b7641fc6eb8a | In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
[21, 43, -8, -97, 29, -5, -80, -82, -37, -43] | [22, 51, 89, 126, 34, 75, 2, 45, 6] |
task1419_mathqa_gain | task1419-243f1648dc604787a6f5cddae0611a82 | 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: a technician makes a round - trip to and from a certain service center by the same route . if the technician completes the d... | b |
task279_stereoset_classification_stereotype | task279-9c557d6a71e14209a602b37a9c785f80 | In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. 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. The passage is unrelated if it does not convey a stereotype or ant... | Anti-stereotype |
task328_jigsaw_classification_insult | task328-47ae6c334a01412bb053f8f942b55f4a | In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Comment: You mean the Europe that is consistently ranked AHEAD of the US for standard of living... | Insult |
task568_circa_question_generation | task568-4575107321cd4c22b6f6735d6fdb9832 | In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
I would love a dog | Do you have a dog |
task079_conala_concat_strings | task079-1d9fb43f3c9f4f80bb65dd2c62a4502e | In this task you will be given a list of strings and you need to concatenate them.
['it', 'w', 'sunrise', 'W', 'get', 'S', 'by', 's', 'I', 'U', 'l', 'Whales', 'B', 'A', 'the', 'X'] | itwsunriseWgetSbysIUlWhalesBAtheX |
task497_extract_all_numbers_from_list_in_order | task497-0872fa33de994404ba7589f7a0c3bf3c | In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
['A', 'k', 'S', '8263', '7975', 'U', '5577', 'Q', '6005', '129', 't', 'N', '9371', '7783', 'j', '2259', '7181', '4409', '9501', 's'] | 8263, 7975, 5577, 6005, 129, 9371, 7783, 2259, 7181, 4409, 9501 |
task823_peixian-rtgender_sentiment_analysis | task823-e709ff7194ef4a499b5f9d41305eec85 | Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Poster: Varvara is in Melbourne getting ready for the first Grand Slam... | Positive |
task461_qasper_question_generation | task461-285d1c77ca3149c6b1d97a51e5debe03 | In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
In the multiple-choice setting, which is the variety of question-answering (QA) that we focus on in this paper,... | Do they focus on Reading Comprehension or multiple choice question answering? |
task898_freebase_qa_answer_generation | task898-c45d63f3f1604c008b26fde5b51e67ce | Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Who wrote The Ghost (2007) and An Officer and a Spy (2013)? | robert harris |
task1338_peixian_equity_evaluation_corpus_sentiment_classifier | task1338-0d10ee302ab6450b963f3fa8caee2284 | 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 girlfriend made me feel annoyed. | anger |
task368_synthetic_even_or_odd_calculation | task368-a0a715e0962f4ae1a930be8aefc91abf | In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [2.5, -362, -258, -282, -10.0, -2.5, 19.0, 1.0, 16.5, -314, -226] |
task1721_civil_comments_obscenity_classification | task1721-324324c8b48f43618abe9a688da8aa02 | Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Hilary is a criminal! | Yes |
task1360_numer_sense_multiple_choice_qa_generation | task1360-3812fd9b89574c5eab9d67a0cf9bf175 | Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Many scientists consider ____ subspecies of brown bear.\Question: Choose the right answer from options given a) eight b) seven c) zero d) two | d |
task1729_personachat_generate_next | task1729-8c0543dee8c845b6973109b8601b4c20 | 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 wear my he... | Do you live in cars? |
task310_race_classification | task310-42c1ff3a6c264e3aa951a0877f87dcb1 | In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Article: Almost two-thirds of children ... | Yes |
task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | task622-da501d4ea49c4603af3fb9f8d8fac760 | In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
['239', 'G', '1613', 'z', '7877', '6367', 'V', '777', '4565', 'y', 'Z', 'k', 'q', 'Z', 'N', 'I', '355... | 239, 7, 1613, 26, 7877, 6367, 22, 777, 4565, 25, 26, 11, 17, 26, 14, 9, 3555, 3, 26, 4445, 6039, 781, 24 |
task367_synthetic_remove_floats | task367-9f0f48ed786246d584a0132207b9b427 | In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
[-2.986, 29.183, -46.65, 78.482,... | [-27] |
task581_socialiqa_question_generation | task581-9554c3e5e86445caada268206d8a7366 | In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Alex's mother asked them to clean the entire house while she was away. Alex cleaned their bathroom.
Answer: clean their bedro... | What will Alex want to do next? |
task616_cola_classification | task616-d5208b44b17c4bf599a760c39e50ef78 | 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... | acceptable |
task069_abductivenli_classification | task069-b091544883da46fca69ac008c2fbf3af | 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: Gina was trying,... | 2 |
task745_ai2_arithmetic_questions_arithmetic | task745-46c0bf949934483abd78bf32760a7c48 | You are provided with an arithmetic question. Your task is to compute the solution using the given arithmetic operations. The only arithmetic operators needed to answer the questions are'+'(addition) and'-'(subtraction). The answer should be correct to one decimal place.
There are 43 pencils in the drawer and 19 pencil... | 78.0 |
task497_extract_all_numbers_from_list_in_order | task497-b6fb095d68a84cbb8c732e2c34d0a53f | In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
['N', '9119', '4971', 'M', '5703', 'b', '4661', 'S', '8185', '2031', 'x', '8547', 's', '2785', 'W', 'P', '6011'] | 9119, 4971, 5703, 4661, 8185, 2031, 8547, 2785, 6011 |
task389_torque_generate_temporal_question | task389-bb9a97e29fdf48fc99b2a32c30dc508f | 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 started after the suspension? |
task587_amazonfood_polarity_correction_classification | task587-57193d119298438994fa39f9cc568817 | 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".
I couldn't wait to try the 8″ Cinnamon Coffee Cake because it is made with fresh eggs, creamy sour cream, Madagascar Bourb... | True |
task904_hate_speech_offensive_classification | task904-e66776cc5a394361919419524e092078 | 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.
@Ar... | Offensive |
task164_mcscript_question_answering_text | task164-ca00f672684949b09bfcb1d6e0a1176f | 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 ... | First thing |
task370_synthetic_remove_divisible_by_3 | task370-49c0c96c43324355a9a2d376191fc542 | 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.
[39, -86, 94, -69, -59, -27, 0] | [-86, 94, -59] |
task668_extreme_abstract_summarization | task668-453c59e1249343a68a6b5cb5b375a6f2 | 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.
One of the most notable contributions of deep learning is the application of convolutional neural networks (ConvNets) ... | We present a new feed forward graph ConvNet based on generalizing the wavelet scattering transform of Mallat, and demonstrate its utility in graph classification and data exploration tasks. |
task591_sciq_answer_generation | task591-460fdef0de6b471dbf6b277aa64d69f9 | Given a scientific question, generate a correct answer to it.
For the most part, cognitive functions reside where? | the cortex |
task1217_atomic_answer_generation | task1217-98ec75b4f8e248a2b6a5c63ae500c1ff | 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 lifts the ___ to PersonY's lips | chocolate |
task183_rhyme_generation | task183-b8eac90ae7ea4c688074a7894317d31e | Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
seed | deed |
task194_duorc_answer_generation | task194-493c9353e1b94f27a4111ac9c00c3dfc | 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.
Jamie Rellis (Mila Kunis) is an executive recruiter for a leading job agency in New York City, and Dylan Harper (Justi... | Answer: Pershing Square |
task592_sciq_incorrect_answer_generation | task592-122a5a03ff654d68a046054c68e19494 | 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.
Where does photosynthesis occur in plants? | nucleus |
task495_semeval_headline_classification | task495-7febc12948b0489ab5c949a3960b0042 | 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... | Not Funny |
task595_mocha_answer_generation | task595-d1e69e34401c454ab1e57096150dbdcb | In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | Because he is attracted to her . |
task673_google_wellformed_query_classification | task673-ebc5f3a5d1cd4c50bd8915dfdddae71c | 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 |
task1601_webquestions_answer_generation | task1601-634e489e1363412d887800b1d93e4447 | Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Taylor Momsen question: what movies has taylor momsen been in? | ['Underdog', 'Paranoid Park', 'Spy Kids 2: Island of Lost Dreams', 'How the Grinch Stole Christmas!', 'We Were Soldiers', 'Hansel and Gretel', 'Spy School', 'Saving Shiloh', '10 Years'] |
task460_qasper_answer_generation | task460-203b3837f468413284169f38ae99ab36 | 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.
In this work we train bilingual UWS models using the endangered language Mboshi as target and different well-resourced languages as aligned information. Resu... | Results show that similar languages rank better in terms of segmentation performance, and that by combining the information learned by different models, segmentation is further improved. |
task1294_wiki_qa_answer_verification | task1294-19cb10a0b8804140811230bade69a18d | In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
how big are baby zebras when born, Answer: The plains zebra and the mountain zebra belong to the subgenus Hippotigris, but Grévy's zebra is the sole species of subgenus Dolichohi... | No |
task161_count_words_containing_letter | task161-bec7a20c1574466c97eeb980add2da31 | In this task, you need to count the number of words in a sentence that contain the given letter
Sentence: 'a person holding a white cup with a kitten inside of it'. How many words contain the letter 'n' in the sentence. | 4 |
task429_senteval_tense | task429-2953734e535c43beaf75608dcfea9288 | In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
John sensed a presence he was not familiar with. | Past |
task082_babi_t1_single_supporting_fact_question_generation | task082-6cbb067051f745e7844520ca542109bb | 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: John travelled to the hallway. Mary travelled to... | Where is John? |
task846_pubmedqa_classification | task846-dd2497540ddb4d3ca1813d4b3f752677 | 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 comorbidity influence multiple aspects of well-being of pati... | yes |
task844_financial_phrasebank_classification | task844-2f67180791ff4aa8b827fd05a80bd99a | Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
news:Due to the rapid decrease in net sales , personnel reductions have been carried out on a wider scale than initially expecte... | false |
task405_narrativeqa_question_generation | task405-3fbb6de8028b474fa550885e5568e8e4 | 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... | Is Barry a single man? |
task311_race_question_generation | task311-0ba41931b6c84e1eb650d93c5f387158 | 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: Although in 1947 we were still very new to the atomic age, we knew about mushroom clouds. A huge crack spread across the library wall upstairs, sending teachers and students sc... | How did the science teacher react to the accident? |
task1290_xsum_summarization | task1290-fb65b5c7dc3749cc9eec164f1abee32d | In this task, you are given an article. Your task is to summarize the article in a sentence.
Douglas Innes ran Stormforce Coaching and was responsible for the Cheeki Rafiki, which capsized in the mid-Atlantic killing all four crew members.
The 42-year-old of Whitworth Crescent, Southampton broke down in tears as he too... | The head of a yacht management company, who denies manslaughter, said his firm always had a "strong ethos of safety". |
task002_quoref_answer_generation | task002-97531d9308f64a5f990ad5aa5b46e2e2 | 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 next day, 2 December 1942, everybody assembled for the experiment. T... | George. |
task1290_xsum_summarization | task1290-1dca439a6f8c456981789b5d2090930c | In this task, you are given an article. Your task is to summarize the article in a sentence.
The ruling National Liberation Front (FNL) is expected to retain its majority despite deep economic problems and uncertainty over the health of President Abdelaziz Bouteflika.
The 80-year-old leader voted from a wheelchair in A... | Votes are being counted in parliamentary elections in Algeria. |
task564_discofuse_classification | task564-72525efb92d148f9bf1fd07732426570 | In this task, you are given two sentences in the English language and your task is to classify them into one of their discourse types. A discourse type is an indicator to classify the given two sentences on the basis of a co-text as well as a relevant context. There are 13 discourse types in total which are 'SINGLE_S_C... | SINGLE_CONN_INNER |
task114_is_the_given_word_longest | task114-25b7b133d0194ed291d967339f2255b2 | 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: 'oven ligh... | No |
task377_remove_words_of_given_length | task377-06005d32d18b418aa767a0be66f08640 | 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 cat on a desk with a keyboard and a mouse'. Remove all words of length '8' in the given sentence. | a cat on a desk with a and a mouse |
task183_rhyme_generation | task183-4a961e04005e4ef2a46a27dc80ee6f13 | Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
wrong | truong |
task246_dream_question_generation | task246-bc7381f5262541e7a75f45f536e898b4 | In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "m... | What does the man mean? (A) He can't go too far away. (B) The cafeteria isn't too noisy. (C) He prefers to eat in a quiet place. |
task087_new_operator_addsub_arithmetic | task087-69a99644a13c452a882513e3061bc1b2 | In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
2907 # 92... | -16350 |
task475_yelp_polarity_classification | task475-1e97cc2e18f94d16aeda23150747f850 | 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 to this caf\u00e9 tonight with my family and the food was great and the people there were very nice. Price... | POSITIVE |
task1731_quartz_question_answering | task1731-912b7b4eafb74ca39d9c35adfd62738f | You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: Differences in air pressure over the surface of the Earth result in wind. The greater the differences in air pressures, the stronger the wind.
Quest... | lesser |
task902_deceptive_opinion_spam_classification | task902-9c9399b244f3466f9d0cad24ec60a935 | Classify the given hotel review based on the sentiment it expresses into two classes: negative and positive.
Eww! What a sickening affair; the Hotel Monaco Chicago is a stuffy masterpiece of a hotel done wrong. I stayed there recently and the rooms reek of the pretended elite classes whom fill its rooms. I seriously wa... | negative |
task105_story_cloze-rocstories_sentence_generation | task105-f7f0366117f34f6580d26bb3947bb5eb | In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Sentence1: Kayla couldn't wait to go horseback riding. Sentence2: She had never been before. Sentence3: Her ... | She couldn't wait to go back to the stable. |
task178_quartz_question_answering | task178-dfa9dd2872ac4d559bc858a048e99572 | You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Question: Eric builds a 60ft telescop... | Eric |
task844_financial_phrasebank_classification | task844-7c9422ba0dbd418e911dc1c71027c294 | Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
news:mn , and pretax profit to EUR 46.4 mn from EUR 35.8 mn in the third quarter of 2006 .
polarity:positive | true |
task326_jigsaw_classification_obscene | task326-57bc23f6cf4b4329864651c3ecb7cf49 | 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 ... | Obscene |
task567_circa_text_generation | task567-8e2f2b366fae45a381666664fc36ea41 | 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.
Can I join you this weekend? | X wants to know what activities Y likes to do during weekends. |
task303_record_incorrect_answer_generation | task303-ee211b5afd8444be92ae6265b1a61a86 | 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 |
task1381_quarel_incorrect_option_generation | task1381-1c4750b81c54407d8ab527b05eb5eb4a | You are given a sentence, a question and two answer options. Your task is to write down the index ('A' or 'B') of the **incorrect** option for the given question.
Sentence: After a grueling work-out, Brandon sat drinking a beverage when, in the gym's mirror, he noticed a sweat bead traveling down the side of his face. ... | A |
task469_mrqa_answer_generation | task469-e68e1281e5e64e9395059b52bc3ff2c8 | 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: Lufthansa's secondary hub is Munich Airport.
Question: Which airport is most closely associated with Lufthansa? | munich airport |
task123_conala_sort_dictionary | task123-429895736f0946238c7f45176c273e92 | 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': -99, 'second': 34}, {'first': 16, 'second': 40}, {'first': 28, 'second': -74}, {'first': 64, 'second': 92}, {'first': 98, 'second': -64}] |
task183_rhyme_generation | task183-88688c3c299f4de193b1f3dd235cf280 | Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
lie | bi |
task124_conala_pair_averages | task124-2bc5f784af914f2cb4e285fba11b39f1 | 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... | [-17.0, -47.5, -96.0, -64.0, 7.5, -0.5] |
task1412_web_questions_question_answering | task1412-9d9681b6fb894a8bbf483b9fd9dede2f | A question is presented to you in this task, and your job is to write a potentially correct answer.
when did baltimore orioles win the world series? | 1983 World Series |
task430_senteval_subject_count | task430-61abcd6364754ddbaf0a8bffbd279334 | 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.
With time, though, those fears will go away, and my life will become quite normal. | Plural |
task1729_personachat_generate_next | task1729-c2e9d32dfb4447f593408ae39280defb | 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 am 6 feet ... | Its for cancer, I wanna cure it I'm smart like Sheldon Cooper. |
task517_emo_classify_emotion_of_dialogue | task517-b7164bee0c6547088b4bb3ece85cf1e3 | In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
you mentioned some techie guys created you who are they names please who are you answer my question first | other |
task897_freebase_qa_topic_question_generation | task897-8c577555424e480eb6df4093fffc18ea | Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
baker street | In pop music, who went for a stroll down 'Baker Street' in 1978? |
task899_freebase_qa_topic_generation | task899-1bf6860fa4944b7eb60f70aea6ec9d42 | Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
In which famous film did Michael Caine play a character named Charlie Croker? | charlie croker |
task924_event2mind_word_generation | task924-b1abcd6dc8e2456c97d28372b281d128 | You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Event:PersonX finds ___ PersonY wanted. Intent: 1) persony... | grateful |
task1308_amazonreview_category_classification | task1308-a6027a5578b541b7b2991ea54ea59fcc | In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Reviews: Very poorly made, rough welds, and sharp e... | True |
task064_all_elements_except_first_i | task064-e125bae1056c47d5ac3e5dcfbaf06c41 | 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.
2, ['H', '1517', '8383', 'j', 'L', 'S', '1769', '9327'] | 8383, j, L, S, 1769, 9327 |
task453_swag_answer_generation | task453-759c118d516f4ee3a0d87099488ce518 | Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Someone steps out of his closeup and we see someone standing in the warehouse doorway. He | walks into the room. |
task1217_atomic_answer_generation | task1217-b79d6ed103cd445aad9ab3b2e6d5fe95 | 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 spends ___ every day | money |
task310_race_classification | task310-906f7d4aa95a443186b416097b8e7706 | In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Article: Two studies are suggesting tha... | Yes |
task072_abductivenli_answer_generation | task072-27956ea63ebc4c3587ebdb320f4376fe | In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. 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 ... | Lenny could not find his keys. |
task1596_event2mind_text_generation_2 | task1596-708aa1a9f0aa4b9ebe19b6f3f3f45348 | The task is to generate text based off 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 intent behind doing the event, i.e. why did the person do that action.
PersonX sheds ___ on the question | to spread their knowledge |
task649_race_blank_question_generation | task649-641bb11cca1c499b9588a6b04a6cab6e | In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Article: One of the most popular activities enjoyed by Americans... | The Appalachian Trail _ . |
task588_amazonfood_rating_classification | task588-dd1d2ca3421e4d37bfd581dfb8991768 | In this task, you're given a review from Amazon's food products. 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 or mixed, 4: good, 5: extremely good.
Roland S&B sardines are the best you can buy and believe me, I've trie... | 5 |
task339_record_answer_generation | task339-0337416bd5134302b6d6a2977ad84443 | 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].
Jack Dorsey would have to give up his post ... | Twitter |
task1609_xquad_en_question_generation | task1609-e6830f1a489c406bafeda34b0732d988 | Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
In contrast, during wake periods differentiated effector cells, such as cytotoxic natural killer cells and CTLs (... | What are examples of differentiated effector cells that peak during wake periods? |
task633_dbpedia_14_answer_generation | task633-8efbba90b28845e6baccba59a72aa37a | 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: Meugher (/ˈmuː.fər/) is a hill in the Yorkshire Dales England. It lies in remote country between Wharfedale... | 4 |
task684_online_privacy_policy_text_information_type_generation | task684-c2d33ff46e5d463ebcc7777185e956ae | 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 cookies or tracking elements for an additional (non-basic) serv... | Cookies and tracking elements |
task934_turk_simplification | task934-c5d98f79a257433bbbc06fd997447608 | 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.
passenger trains operated to forbes until 1983. | passenger trains serviced forbes until 1983. |
task374_synthetic_pos_or_neg_calculation | task374-b0de24e56977492a840df8ef0ffda4ab | 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... | [178, 132, 120, 50, 120, 140, 128, 162] |
task192_hotpotqa_sentence_generation | task192-37b2b0a85dcd4673adea14dc6e4f5849 | 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.
Copiapoa is a genus of cacti from the dry coastal deserts, particularly the Atacama Deser... | Copiapoa is a genus of cacti from the dry coastal deserts, particularly the Atacama Desert, of northern Chile. |
task002_quoref_answer_generation | task002-cea6b3a5659e47fb98e3e7ac2348894a | 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: Whales have also played a role in sacred texts such as the Bible. It men... | Lamentations 4:3. |
task566_circa_classification | task566-fc9e60ac4bce4f809d45135ba72111a9 | 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 certainly am<sep>Sentence-2: I am ready for the weekend . | Yes |
task400_paws_paraphrase_classification | task400-2b6c1cbb6dbe417cadf9928cafc010ee | In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Nsanje is a district in the Southern ... | Paraphrase |
task1186_nne_hrngo_classification | task1186-849935aa9c3a4c63ab9eaa417825fe16 | You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
System Reference: he ocean park motel is located near parkside.
Original Reference... | 0 |
task1445_closest_integers | task1445-0705386caf134527af1fd1a30a1484f3 | 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.
[-52, 62, -4, 30] | 32 |
task027_drop_answer_type_generation | task027-573de6f4693e42558fd55314ed488773 | 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 |
task303_record_incorrect_answer_generation | task303-44a48bcdfffd40019489394060d42080 | 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 ... | McLaren |
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