task_name stringclasses 645
values | id stringlengths 40 41 | source stringlengths 62 335k | target stringlengths 0 13.8k |
|---|---|---|---|
task608_sbic_sexual_offense_binary_classification | task608-44e2b41aea754db48ee51ea76ddde4b4 | In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Yes |
task368_synthetic_even_or_odd_calculation | task368-816ee0ca31224a25b209cdc78c24ea1f | 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... | [214, 23.5, -6.5, 1.0, 0.0] |
task374_synthetic_pos_or_neg_calculation | task374-fc9ff0213e594e2f8eb6a0a5556bed30 | 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... | [2, 2, 150, 24, 178, 72, 240, 24] |
task316_crows-pairs_classification_stereotype | task316-d467736394aa4cb9bb48ae5d53821f9c | In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to cla... | Stereotype |
task303_record_incorrect_answer_generation | task303-ee4bdafa31724c5a8c40d78507971ae5 | 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 ... | Cyclone Pam |
task606_sum_of_all_numbers_in_list_between_positions_i_and_j | task606-b4522e37b12f4bf387431cf6ff5985a8 | 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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 0 |
task1661_super_glue_classification | task1661-6fbe6c1de84f44bead4d8b7e9facdd40 | 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: Robert Clary -- Robert Clary (born Robert Max Widerman; March 1, 1926) is a French-American actor, published auth... | 1 |
task866_mawps_multidiv_question_answering | task866-4eb5ecd813ff4451918a489ce0db6d24 | You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
You are reading a book with 120 pages . If you want to read the same number of pages eac... | 12 |
task397_semeval_2018_task1_tweet_anger_detection | task397-f1a8b5892cb4435c87492e063f885ca5 | 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.
Chiropractor time #crackle #pop #chiropractor | Not angry |
task078_all_elements_except_last_i | task078-1f7bba49db7940698cccad93f20415f2 | 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.
4, ['2245', 'O', '6633', 'o', '5713', 'N', '3649', 'm', 'F', 'e', '9651', 'm', '9031', 'n', 'W', 'O', 'f', 'g', '... | 2245, O, 6633, o, 5713, N, 3649, m, F, e, 9651, m, 9031, n, W, O, f, g, v, L, 9285, w, K, 2227 |
task386_semeval_2018_task3_irony_detection | task386-c28aa9c509e242de970f57bb28d64510 | In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label... | ironic |
task833_poem_sentiment_classification | task833-bc5eb9ab787c41009d29f35880618887 | In this task, you need to identify the sentiment of the given sentence as one of 'positive' or 'negative.
from the slaughtering of my offspring, and the spoiling of my land; | negative |
task206_collatz_conjecture | task206-a4f0bda10eb74372947c5a778aee8d75 | 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 two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
[166, 189, 178, 183, 46... | [83, 568, 89, 550, 23, 87, 76, 580] |
task581_socialiqa_question_generation | task581-6a6b82a7b21d4174b9611040fe9cfd53 | 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: Taylor took Addison's lives in the video game after they got much better than Addison at the game.
Answer: defeated | How would Addison feel as a result? |
task497_extract_all_numbers_from_list_in_order | task497-f903498eb5924856b7a20dc92c902248 | 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.
['7307', '3747', '1895', 'L', '7291', '1539', '4827', '2327', '7905', 'Y', '1843', 'D', 'H', '8911', '7321', 'Q', 'P', 'H', 'b'] | 7307, 3747, 1895, 7291, 1539, 4827, 2327, 7905, 1843, 8911, 7321 |
task1360_numer_sense_multiple_choice_qa_generation | task1360-6de60e03281142979b8940962f8a3966 | 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').
Bilingualism involves the ability to use ____ different languages successfully.\Question: Choose the right answer from options given a) three b) tw... | b |
task592_sciq_incorrect_answer_generation | task592-7e129005441e46c2914f2600d5d5a05e | 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.
A small scale version of what type of map disp... | polar map |
task376_reverse_order_of_words | task376-5495b2c65fbc4f75a548158dbf94f4ad | In this task, you need to reverse the order of words in the given sentence.
Sentence: a group of people on a field playing soccer | soccer playing field a on people of group a |
task1368_healthfact_sentence_generation | task1368-d5f95c4bbeac436b921d55a6af593943 | Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
Th... | Hospital, family agree on moving brain-dead girl. |
task1443_string_to_number | task1443-1dfa346827a94dc5a96ccfbec3398cbb | In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 13948 |
task605_find_the_longest_common_subsequence_in_two_lists | task605-ec365ba5f7134937a0cc48e2c575407e | In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
[9157, 1871, 1757, 'a', 'a', 2491, 295, 4645, 'B', 'B', 3461, 'V', 'd', 'R', 'u', 'd', 8961, 'v', 3285, 9873, 'S', 'a', 1055, 'N', 'b', 'X', '6483', '2135', '297', 'J', '6197', 'g', '3331', 'i', 'A', 'k', '7575', 'T', '... | 6483, 2135, 297, J, 6197, g, 3331, i, A, k, 7575, T, 3795, 5803, 8385, 1387, Q, 4837, N, 1351, t, 1555, y, h, 2465, 6873 |
task852_synthetic_multiply_odds | task852-e9a6f601cb8f420da3431885ee3a7b52 | In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | [-23575, 1665, -891, 165, 27, 0, 3] |
task389_torque_generate_temporal_question | task389-fe228b849bf447ba969b0c71fd0e28ba | 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 since the portrayal? |
task088_identify_typo_verification | task088-b8d372c382484205863492a91e19fed2 | The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a ... | Araba |
task310_race_classification | task310-dcc51bdc98bb49dc92c9d15eacbc54d2 | 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: It is the goal of politicians ... | No |
task517_emo_classify_emotion_of_dialogue | task517-f690daac1a0449a2a1e9390661046d9c | 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.
i'm just trying know what you think about yourself do you man to | other |
task1217_atomic_answer_generation | task1217-2a4c9935bf0c408487ad0f5c014e3730 | 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 finds ___ in PersonX's pocket | blank check |
task577_curiosity_dialogs_classification | task577-0123181b51724813a4431f47726133d7 | In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
In 2009, Morocco's prime mini... | assistant |
task496_semeval_answer_generation | task496-84a87126af534e6e8bee2e17b67ba77f | 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 |
task576_curiosity_dialogs_answer_generation | task576-7827dfa0479047fc92b963c2fba9ea4e | 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.
Thankylu! Ow I’d like to learn about it’s geography please.
More than eight what?
Wow! What other information can you share about th... | states. Missouri's edge touch a total of eight states: Iowa lies to the north; to the east, across the Mississippi River, are Illinois, Kentucky, And Tennessee; Arkansas lies to the south; and on the west are Oklahoma, Kansa, and Nebraska |
task027_drop_answer_type_generation | task027-ab7588fdf12e4f4c9363fa926308be12 | 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 |
task112_asset_simple_sentence_identification | task112-339783edf9904680967cffcc2fc7f2a4 | 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 two |
task405_narrativeqa_question_generation | task405-35b99acfddba4bd29b4790215ffbd8bb | 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 did Bart Gregory come back from the dead to help? |
task609_sbic_potentially_offense_binary_classification | task609-8c8bb9ccd267437d8d44c30cdd44a57e | 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... | No |
task1339_peixian_equity_evaluation_corpus_text_completion | task1339-c58da4961d154ab8afafed19c7a18152 | 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 Jerome was <blank>.
EMOTION: fear | The conversation with Jerome was shocking. |
task320_stereoset_classification_race | task320-7096f5bf0777429596a1bb22985de322 | 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... | stereotype |
task1711_poki_text_generation | task1711-827cbd4fdf70469981e0cffed1544a3b | You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | the sky be dark the sky be bright the sky be very wide the earth be small the earth be big the earth be cool |
task094_conala_calculate_mean | task094-7d51c3902cea4b8088db0331721ffb28 | In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
[243.793, 58.654, 149.721] | 150.723 |
task1338_peixian_equity_evaluation_corpus_sentiment_classifier | task1338-db9b06314d504345b5684f4bae6af1d4 | 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.
I made this man feel irritated. | anger |
task575_air_dialogue_classification | task575-67f45bc771e241499f4732d51373bfef | In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
I would like to prefer normal cost airline. | customer |
task1316_remove_duplicates_string | task1316-72dbd4c4b11f4609bebb19dd7e352451 | In this task, you are given a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string.
FsDiXVqAymUcNSwuyNjb | FsDiXVqAymUcNSwujb |
task1368_healthfact_sentence_generation | task1368-c7cc6f4813ed43a6865dc59fcb7a7f61 | Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
Tr... | White House pushes unproven drug for virus, but doctors wary. |
task934_turk_simplification | task934-0035964818cb43e4be5a737a9aea8d28 | 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.
much of the province lies in the plain of the arno river and has thus become an exurban sprawl around the city of florence. | better part of the province lies in the plain of the arno river and has thus become an exurban region around the city of florence. |
task183_rhyme_generation | task183-9fa000dd5f704b0abb2391d8fe29d5de | Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
yet | whet |
task905_hate_speech_offensive_classification | task905-3d7bb1de5d2049bca8fef2e8bde99d99 | 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: “@xoxo_hayleyy: "@savageater: i think if my girlfriend were to get locked up ... | false |
task284_imdb_classification | task284-d4b7e356aa374b23a28aeab4f1cf9388 | 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.
12 year old Arnald Hillerman accidentally kills his older brother Eugene. His feelings are arrested by the fact that his family can not interact with him (or... | positive |
task1431_head_qa_answer_generation | task1431-b4205bb42a064a0d95c6691824b4707c | In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Question: They are directly involved in allergic reactions:
Options: <1> T lymphocytes. <2> Dendritic cells <3> Monocytes <4> Platelets. <5> Ma... | 5 |
task299_storycloze_sentence_generation | task299-1f85aa5db6e3478f8c67be7acd1da484 | 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, Eric couldn't return Bill's hit and lost the match. |
task294_storycommonsense_motiv_text_generation | task294-7ce3b133dd50447cab472dca7c28758a | In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. Y... | to win |
task518_emo_different_dialogue_emotions | task518-1ec03b6d731d424a8e46a8057c9619ea | 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: 'the songs name so wait 2 songs for all 33 of them tell'. Dialogue 2: 'i dont think so i... | yes |
task091_all_elements_from_index_i_to_j | task091-d1e952f1917242a2ac109297dbb80cc4 | 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.
2, 15, ['4225', '9963', 'l', '7575', ... | 9963, l, 7575, u, B, 4817, 6545, 8153, 8377, 9917, t, 4411, 8961, 4037 |
task1661_super_glue_classification | task1661-680ee41cf5284f5c8be75d5b5bccf970 | 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: Full employment -- Full employment means that everyone who wants a job can have work hours they need on ``fair wa... | 0 |
task580_socialiqa_answer_generation | task580-335dd7c922a845639197baf60e870a1c | In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Context: After ... | A |
task405_narrativeqa_question_generation | task405-68618ea6bc4c4ba6af33397c28343e0f | 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 sent away to boarding school in the Blue Mountains? |
task065_timetravel_consistent_sentence_classification | task065-bd01a380d49b49768d26e82db3982126 | In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Option 1 |
task303_record_incorrect_answer_generation | task303-f63b59311fec4c82ad1a35df753e923a | 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 ... | Mogadishu |
task111_asset_sentence_simplification | task111-bd5a6c4bfae34163b0e67f18ef773550 | 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... | Ornithologist Richard Zann, his wife Eileen and their daughter Eva all died in the Kinglake fire. |
task956_leetcode_420_strong_password_check | task956-4df09f98d6554d3c8e1ed563a372331c | You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | 15 |
task580_socialiqa_answer_generation | task580-acf2e55142ae4e6bb62a6191fa51079c | In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Context: Kendal... | A |
task142_odd-man-out_classification_no_category | task142-7da2a6efcebe497fa03c2400a7c40351 | Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
duck, crane, mallet, egret, dump truck | dump truck |
task1296_wiki_hop_question_answering | task1296-6588ec7b0732455fa7d7a76aa03e5766 | 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: The National Park Service (NPS) is an agency of the United States federal government that... | alaska |
task1308_amazonreview_category_classification | task1308-aa482c7c0c0749cd995b62a0e252bca9 | 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: The package was knowingly shipped leaking ... | False |
task1311_amazonreview_rating_classification | task1311-abe40c42d69044df8fdcfd0cb0fd9350 | 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 |
task284_imdb_classification | task284-d2238b45477e41d7b365b595d3bc739d | 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.
I bought the video rather late in my collecting and probably would have saved a lot of money if I bought it earlier. It invariably supersedes anything else o... | positive |
task1347_glue_sts-b_similarity_classification | task1347-2be3f0861a164ad0b7e04b660a34ab15 | Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent, b... | 1 |
task319_stereoset_classification_profession | task319-7fed7282a584452285e09036c2849874 | You are given a target profession, 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 i... | anti-stereotype |
task227_clariq_classification | task227-fa3c03fbec75410580adb14a90c57c02 | In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Query: I a... | Yes |
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 did Tocqueville believe was unhealthy between democrats and the religious in France? |
task523_find_if_numbers_or_alphabets_are_more_in_list | task523-12a4f9ec2fea456c82d327639af44156 | 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... | Alphabets Win |
task821_protoqa_question_generation | task821-4f07e0dab2c348648903ddcc8a96e5c4 | Construct a question that every answer in the list is correct and reasonable for it.
good weather, good time, plenty of rest, tan | name something you hope for, but can't count on, when going on vacation |
task1217_atomic_answer_generation | task1217-e07b30e02c3746d89c91b4e1681a7d41 | 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 reads ___ in one | books |
task1285_kpa_keypoint_matching | task1285-5f0932a710d343ada29764ed1db2528e | 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 flag burning<sep>Argument: Flag burning is disrespect... | True |
task637_extract_and_sort_unique_digits_in_a_list | task637-02b2169cf7104cc797a953c801b19f28 | In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
['459', 'h', '297', 'r', '211', '77', '471', 'z', 'p'] | 1, 2, 4, 5, 7, 9 |
task183_rhyme_generation | task183-a80a7eee66dd4c8882c3a10fa6bf7827 | Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
square | phair |
task1217_atomic_answer_generation | task1217-53a23c9e0c3a49dba3c23ccc2a7ba613 | 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 amends the ___ by adding | form |
task123_conala_sort_dictionary | task123-c109c2c4167f4dd8bf5d0d1a1561d35b | 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': -13, 'second': -73}, {'first': 63, 'second': 37}] |
task517_emo_classify_emotion_of_dialogue | task517-dd2fac9239874bffa34623df9dad7b8b | 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.
how do i look you just are i just am what | other |
task389_torque_generate_temporal_question | task389-054d58a3f6c942c0bb63c63e21da39d5 | 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 before he flew over the 5m bar? |
task413_mickey_en_sentence_perturbation_generation | task413-c592b1f67e354e2ba1650100f0b09b14 | Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
If you w... | If you pay to reproduce the review then you should ask questions . |
task159_check_frequency_of_words_in_sentence_pair | task159-6d2fc6faaf1d499e990960500cfb531f | In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a street bench with a pile of chip bags on it', Sentence2: 'a man riding on a subway train holding a jacket'. Is the frequency of the word 'on' in two sentences equal? | Yes |
task303_record_incorrect_answer_generation | task303-f9796582d30f40b9aba512f7f4ef1308 | 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 ... | Nelson |
task1206_atomic_classification_isbefore | task1206-90b28277995e41099fd09f9c55172157 | 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 |
task303_record_incorrect_answer_generation | task303-c30f3a28a4c44eadbb506dbb70a39832 | 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 ... | Dallas BBQ |
task821_protoqa_question_generation | task821-7341e1a8784a4e00b8b2277e4e8626d8 | Construct a question that every answer in the list is correct and reasonable for it.
birds, squirrels, ducks, monkeys, goats, horses | name an animal in the park people like to feed. |
task1338_peixian_equity_evaluation_corpus_sentiment_classifier | task1338-ae6c62743a9746b6afbaa422b3f931d0 | 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.
This woman found herself in an outrageous situation. | anger |
task079_conala_concat_strings | task079-a29ce4881c0247089d1f143618ef3e09 | In this task you will be given a list of strings and you need to concatenate them.
['Flask', 'q', 'm', 'Java;', 'K', 'the', 'A', 'our', 'A'] | FlaskqmJava;KtheAourA |
task923_event2mind_classifier | task923-c18579f1a9454ebc9b838aad34b86ac9 | You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Event:PersonX brings ___ to a crisis. Intent: | Negative |
task244_count_elements_in_set_union | task244-7e9b4ee432e94a6eaf611f467e6adde1 | In this task, you are given two sets, and you need to count the number of elements at the union of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. Union of two given sets is the smallest set which contains all the elements of both the sets. To find the union of two... | 4 |
task105_story_cloze-rocstories_sentence_generation | task105-5536f8b613d84a40a356f8d2f591370b | 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: The manager of a printing company answered the phone. Sentence2: A client asked if he could do a ... | The manager thought for a second and then agreed to do the job. |
task729_mmmlu_answer_generation_professional_law | task729-f35754d2fca04576970c7cf4cc2a2cc0 | You are given a question on professional law. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer.
Which of the following is false ... | C |
task112_asset_simple_sentence_identification | task112-ae1a69fe33d24544918b162ce7abb751 | 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 |
task469_mrqa_answer_generation | task469-b53a926ab5674b80ad1b55abba67a0b6 | 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: Coming off their Sunday night road win over the Packers, the Cowboys went home for a Week 4 NFC East showdown with the Washingto... | shaun suisham |
task471_haspart_answer_generation | task471-d806948d297d4aac9f8fb66b05bf31a8 | 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... | spleen extract |
task113_count_frequency_of_letter | task113-a7abb47de6af4fc480f2107fcd1a526c | In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'a bunch of doughnuts that are on a table'. Find frequency of the letter 'u' | 3 |
task1599_smcalflow_classification | task1599-5cd354da6c3b4fbb900dc1430b361265 | In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follo... | user |
task575_air_dialogue_classification | task575-a628bf28a5754799ae7f03989b5c73bf | In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Can you please reserve me a flight ticket from LAX to AUS? | customer |
task1510_evalution_relation_extraction | task1510-e5a8c902a39f4131a7127233dde24428 | Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
age is a... | age IsA develop |
task1296_wiki_hop_question_answering | task1296-639f679d98b64ae8a0a8c8793becf890 | 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: Hong Kong, officially the Hong Kong Special Administrative Region of the People's Republi... | wan chai district |
task385_socialiqa_incorrect_answer_generation | task385-d2c14a382aa44378ac4464eb90e06fa9 | In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Context: Aubrey sh... | B |
task1328_qa_zre_relation_generation_from_question | task1328-73bc6c78b2f442a2b302d2f6eaca31a8 | Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | award received |
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