task_id large_string | slug large_string | definition large_string | categories list | domains list | source list | reasoning list | input_language list | output_language list | instruction_language list | contributors list | positive_examples large_string | negative_examples large_string | lora_path large_string | dataset_path large_string | description_short large_string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
713 | task713_mmmlu_answer_generation_human_aging | You are given a question on human aging. 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. | [
"Question Answering"
] | [
"Biology -> Human Biology"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "The study of older adults and aging is referred to as\n(A)Gerontology (B)Geropsychiatry (C)Geriatrics (D)Gero-education", "output": "A", "explanation": "Gerontology is the study of older adults and aging"}, {"input": "Which of the following factors is associated with a decreased risk of Alzheimer's?\n(A)Bei... | [{"input": "The study of older adults and aging is referred to as\n(A)Gerontology (B)Geropsychiatry (C)Geriatrics (D)Gero-education", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": "Which of the following factors is ass... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task713 | https://huggingface.co/datasets/Lots-of-LoRAs/task713_mmmlu_answer_generation_human_aging | mmmlu answer generation human aging |
628 | task628_xlwic_word_with_different_meaning_sentence_generation | In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however... | [
"Sentence Composition"
] | [
"Miscellaneous"
] | [
"xl_wic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ananth Duggirala"
] | [{"input": "ruler \n Sentence: The headmistress struck the table with a ruler.", "output": "The ruler decided to change taxation laws in his province.", "explanation": "The word 'ruler' has a different meaning in both the input and output sentences. In the input sentence, it refers to a measuring stick, and in the outp... | [{"input": "dust \n Sentence: Another one bites the dust.", "output": " The maid used a handkerchief to remove dust off the table.", "explanation": "In both the input and output sentences, the word 'dust' refers to sand, and therefore the words share the same meaning. Note that the provided response must use a differen... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task628 | https://huggingface.co/datasets/Lots-of-LoRAs/task628_xlwic_word_with_different_meaning_sentence_generation | xlwic word with different meaning sentence generation |
1197 | task1197_atomic_classification_oreact | In this task, you are given a tuple, comprising 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... | [
"Commonsense Classification"
] | [
"Sociology",
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"atomic"
] | [
"Relational Reasoning",
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Head: PersonX adapts ___ to conditions<sep>Tail: Get things done more effectively", "output": "No", "explanation": "As a result of the Head, The others won't feel things are done more effectively."}, {"input": "Head: PersonX lights ___ on fire<sep>Tail: none", "output": "Yes", "explanation": "This is a good... | [{"input": "Head: PersonX affects children 's ___<sep>Tail: to make a difference", "output": "Yes", "explanation": "If PersonX affects children 's ___, others won't feel to make a difference. So the output should be \"No\"."}, {"input": "Head: PersonX gives PersonY command<sep>Tail: like they are set to task", "output"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1197 | https://huggingface.co/datasets/Lots-of-LoRAs/task1197_atomic_classification_oreact | atomic classification oreact |
696 | task696_mmmlu_answer_generation_elementary_mathematics | You are given a question on elementary mathematics. 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. | [
"Question Answering"
] | [
"Mathematics"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Quantitative Reasoning",
"Logical Reasoning",
"Mathematics"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "What is the value of p in 24 = 2p?\n(A)p = 4 (B)p = 8 (C)p = 12 (D)p = 24", "output": "C", "explanation": "If 24=2p, p=12"}, {"input": "Ms. Perez drove a total of 40 miles in 5 days. She drove the same number of miles each day. How many miles did Ms. Perez drive each day?\n(A)5 (B)7 (C)8 (D)9", "output": "C... | [{"input": "What is the value of p in 24 = 2p?\n(A)p = 4 (B)p = 8 (C)p = 12 (D)p = 24", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": "Ms. Perez drove a total of 40 miles in 5 days. She drove the same number of miles e... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task696 | https://huggingface.co/datasets/Lots-of-LoRAs/task696_mmmlu_answer_generation_elementary_mathematics | mmmlu answer generation elementary mathematics |
116 | task116_com2sense_commonsense_reasoning | You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'. | [
"Commonsense Classification"
] | [
"Commonsense -> Concepts and Relations"
] | [
"com2sense"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "The glass fell of a three-story building, so it broke into pieces.", "output": "True", "explanation": "Falling down from a considerable height causes glasses to break, so this is a true sentence."}, {"input": "Marry was going out to work, so she asked her sixteen-year-old daughter to take care of her five-y... | [{"input": "For the twenty guests Sam was going to have over for dinner, she ordered two small pizzas.", "output": "True", "explanation": "Two small pizzas is not enough dinner for twenty people, so this sentence is not true."}, {"input": "Ali has decided to get up early from now on, so he is likely to go to bed later ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task116 | https://huggingface.co/datasets/Lots-of-LoRAs/task116_com2sense_commonsense_reasoning | com2sense commonsense reasoning |
1338 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | 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. | [
"Sentiment Analysis"
] | [
"Commonsense",
"Dialogue",
"Narrative"
] | [
"equity_evaluation_corpus"
] | [
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Raakesh Sureshkumar"
] | [{"input": "Alphonse feels anxious.", "output": "fear", "explanation": "Anxious is a negative emotion that can very well fall under the category of FEAR."}, {"input": "This woman feels excited.", "output": "joy", "explanation": "Decide the word from the input that is an adverb. Excited in this case. Excited seems to be... | [{"input": "This man made me feel ecstatic.", "output": "anger", "explanation": "On getting the adverb from the above sentence, it is found to be \"ecstatic\". This word just shows that a person is very happy, which is a positive emotion. The predicted emotion is anger, which is a negative emtion. So, the correct answe... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1338 | https://huggingface.co/datasets/Lots-of-LoRAs/task1338_peixian_equity_evaluation_corpus_sentiment_classifier | peixian equity evaluation corpus sentiment classifier |
1398 | task1398_obqa_question_generation | Given a fact, create a question that can be answered using the fact. Construct the question such that it is unambiguous, has a unique answer and the answer can be given using the fact. | [
"Question Generation"
] | [
"Natural Science -> School Science Textbooks"
] | [
"openbookqa"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eric Bell"
] | [{"input": "Fact: deep sea animals live deep in the ocean", "output": "Frilled sharks and angler fish live far beneath the surface of the ocean, which is why they are known as?", "explanation": "The output question is related to the fact in that frilled sharks and angler fish are deap sea animals. The question is relat... | [{"input": "Fact: water is often brackish in an estuary", "output": "What is the sun made of?", "explanation": "This a bad question. The sun is not related to water or estuaries and the sun's composition is also not related to the fact."}, {"input": "Fact: if a liquid disappears then that liquid probably evaporated", "... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1398 | https://huggingface.co/datasets/Lots-of-LoRAs/task1398_obqa_question_generation | obqa question generation |
1518 | task1518_limit_answer_generation | In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings t... | [
"Information Extraction"
] | [
"News",
"Wikipedia"
] | [
"limit"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sai Venkat Subramani"
] | [{"input": "Mr. Miller waved his hands in a gesture of divine despair, spun round, darted up the aisle, turned, and bounded back.", "output": "Mr. Miller, hands", "explanation": "In this sentence, the female is performing a motion on the liquids. So the answer should be Yes. Mr. Miller is the animate entity who is taki... | [{"input": "The God of Luck had smiled upon his boldness, and, reflecting upon it Kan Wong turned back to the river and the sampan that had so long been his floating home.", "output": "The God of Luck", "explanation": "The answer is wrong because The God of luck is a fictive personality and not a real person performing... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1518 | https://huggingface.co/datasets/Lots-of-LoRAs/task1518_limit_answer_generation | limit answer generation |
1420 | task1420_mathqa_general | 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'. | [
"Question Answering"
] | [
"Mathematics"
] | [
"mathqa"
] | [
"Quantitative Reasoning",
"Numerical Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Siddhartha Mishra"
] | [{"input": "Problem: what is difference between biggest and smallest fraction among 2 / 3 , 3 / 4 , 4 / 5 and 5 / 3 \nOptions: a ) 2 / 5 , b ) 3 / 5 , c ) 1 / 6 , d ) 1 , e ) none of these", "explanation": "\"explanation : 2 / 3 = . 66 , 3 / 4 = . 75 , 4 / 5 = . 8 and 5 / 3 = 1.66 so the biggest is 5 / 3 and the smalle... | [{"input": "Problem: how many prime numbers are between 76 / 8 and 124 / 5 ? \nOptions: a ) 1 , b ) 2 , c ) 3 , d ) 4 , e ) 5", "explanation": "\"76 / 8 = 38 / 4 = 19 / 2 = 10 - 124 / 5 = 25 - prime numbers between 10 and 29 are 11 , 13 , 17 , 19 , and 23 - sign signifies that the number is marginally less . answer e\"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1420 | https://huggingface.co/datasets/Lots-of-LoRAs/task1420_mathqa_general | mathqa general |
1285 | task1285_kpa_keypoint_matching | 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. | [
"Text Matching"
] | [
"Reviews",
"Law",
"Dialogue",
"Government and Politics",
"Philosophy",
"World Religions"
] | [
"argkp"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arjun Ashok"
] | [{"input": "Argument: It is more humane to help the person die than to let them suffer excruciating pain<sep>Keypoint: The terminally ill would benefit from assisted suicide", "output": "False", "explanation": "The keypoint does not summarize the argument that it is more humane to help the person die than to let them s... | [{"input": "Argument: People who are terminally ill with no hope of survival should be spared the pain and suffering of living.<sep>Keypoint: People should have the freedom to choose to end their life", "output": "True", "explanation": "The keypoint does not summarize the argument that people who are terminally ill wit... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1285 | https://huggingface.co/datasets/Lots-of-LoRAs/task1285_kpa_keypoint_matching | kpa keypoint matching |
865 | task865_mawps_addsub_question_answering | You are given a math word problem and you are supposed to apply addition or subtraction mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer. | [
"Question Answering"
] | [
"Mathematics"
] | [
"nlu_asdiv_dataset"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Tanay Dixit"
] | [{"input": "Last year , 90171 people were born in a country , and 16320 people immigrated to it . How many new people began living in the country last year ?", "output": "106491", "explanation": "Total people living in the country = born - immigrated = 90171 - 16320 = 106491"}, {"input": "There are 27 pencils in the dr... | [{"input": "Alyssa picked 42 pears and Nancy picked 17 pears from the pear tree . How many pears were picked in all ?", "output": "42", "explanation": "Total pears in all = pears picked by Alyssa + pears picked by nancy = 42 + 17 = 59 "}, {"input": "The town of Milburg has 5256 grown - ups and 2987 children . How many ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task865 | https://huggingface.co/datasets/Lots-of-LoRAs/task865_mawps_addsub_question_answering | mawps addsub question answering |
645 | task645_summarization | Generate a topic word for the given sentence. A topic word is usually the name of a person, place, animal, concept or object the sentence is focusing on. | [
"Keyword Tagging"
] | [
"Wikipedia"
] | [
"wiki_auto_all_data"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"khushal chandresh modi"
] | [{"input": "fear of needles (medically known as belomophobia) is a term used to describe a large fear (phobia) of medical procedures involving needles.", "output": "fear of needles", "explanation": "This statement is talking about the fear of needles, so 'fear of needles' is a correct answer."}, {"input": "the 2015 pin... | [{"input": "roaring lion (march 11, 2015 \u2013 august 23, 2019) was an american-bred, british-trained thoroughbred racehorse.", "output": "roaring racehorse", "explanation": "The input statement is talking about the roaring lion."}, {"input": "the maillard reaction is a chemical reaction between an amino acid and a re... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task645 | https://huggingface.co/datasets/Lots-of-LoRAs/task645_summarization | summarization |
933 | task933_wiki_auto_style_transfer | In this task, we ask you to rewrite a sentence in simple English without changing its general meaning. Essentially, you want to make the sentence easier to read by using simpler words, utilizing more straightforward sentence structures, and omitting non-essential information etc. | [
"Text Simplification"
] | [
"Wikipedia"
] | [
"wiki_auto"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Gary Haizhi Lai"
] | [{"input": "In early work , Rutherford discovered the concept of radioactive half-life, the radioactive element radon, and classified three types of radiations: alpha, beta and gamma radiation .\n", "output": "Rutherford discovered the radioactive half-life, the chemical element radon, and the three parts of radiation ... | [{"input": "Boryla was not in the 1952 playoffs.", "output": "Boryla did not participate in the 1952 playoffs.", "explanation": "The output sentence uses more complex words than the input sentence. It is the opposite of what we want."}, {"input": "The population in China increased to around 2,000 in 2005.", "output": "... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task933 | https://huggingface.co/datasets/Lots-of-LoRAs/task933_wiki_auto_style_transfer | wiki auto style transfer |
671 | task671_ambigqa_text_generation | In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line. | [
"Question Rewriting"
] | [
"Wikipedia"
] | [
"ambigqa"
] | [
"Abductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Lucifer how many episodes are in season 3?", "output": "How many episodes of season 3 of Lucifer were there, including bonus episodes? \n 26", "explanation": "The generated question clarifies the input question by asking about bonus episodes because if the question is about regular episodes only then the an... | [{"input": "Lucifer how many episodes are in season 3?", "output": "How many episodes of season 3 of Lucifer were there, including bonus episodes? 26", "explanation": "The generated question clarifies the input question by asking about bonus episodes because if the question is about regular episodes only then the answe... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task671 | https://huggingface.co/datasets/Lots-of-LoRAs/task671_ambigqa_text_generation | ambigqa text generation |
934 | task934_turk_simplification | 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. | [
"Text Simplification"
] | [
"Wikipedia"
] | [
"turk"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "a georgian inscription around the drum attests his name.", "output": "there is a georgian inscription around the drum to confirm his name.", "explanation": "The sentences clearly paraphrased correctly and simplified the original sentence which described the Georgian inscription get his name attests which wa... | [{"input": "a hunting dog refers to any dog who assists humans in hunting.", "output": "a hunting dog is a dog that refers humans in hunting.", "explanation": "It's supposed to generate a correct paraphrased sentence, here it changes the word 'assist' to 'refers' which changes the original meaning sentence."}, {"input"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task934 | https://huggingface.co/datasets/Lots-of-LoRAs/task934_turk_simplification | turk simplification |
719 | task719_mmmlu_answer_generation_management | You are given a question on management. 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. | [
"Question Answering"
] | [
"Management"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "What is the term for a sub-optimal but acceptable outcome of negotiations between parties?\n(A)Bargaining (B)Satisficing (C)Accepting (D)Compromising", "output": "B", "explanation": "Satisficing is a sub-optimal but optimal outcome of negotiations between parties"}, {"input": "What is the term for the 'rule... | [{"input": "What is the term for a sub-optimal but acceptable outcome of negotiations between parties?\n(A)Bargaining (B)Satisficing (C)Accepting (D)Compromising", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": "What is... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task719 | https://huggingface.co/datasets/Lots-of-LoRAs/task719_mmmlu_answer_generation_management | mmmlu answer generation management |
298 | task298_storycloze_correct_end_classification | In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'. | [
"Coherence Classification"
] | [
"Story"
] | [
"roc_stories"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf. \n Sentence5: He is happy now.", "output": "Yes", "explanation": "As men... | [{"input": "Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf. \n Sentence5: He is happy now.", "output": "No", "explanation": "As ment... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task298 | https://huggingface.co/datasets/Lots-of-LoRAs/task298_storycloze_correct_end_classification | storycloze correct end classification |
153 | task153_tomqa_find_location_hard_clean | Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | [
"Question Answering"
] | [
"Commonsense -> Stories"
] | [
"tom_qa"
] | [
"Commonsense Reasoning -> Spatial Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "Jacob entered the dining_room. William entered the dining_room. The tomato is in the green_drawer. William exited the dining_room. Jacob moved the tomato to the blue_cupboard. Jacob is in the dining_room. Olivia entered the dining_room. The cucumber is in the blue_cupboard. Olivia exited the dining_room. Ja... | [{"input": "Jacob entered the dining_room. William entered the dining_room. The tomato is in the green_drawer. William exited the dining_room. Jacob moved the tomato to the blue_cupboard. Jacob is in the dining_room. Olivia entered the dining_room. The cucumber is in the blue_cupboard. Olivia exited the dining_room. Ja... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task153 | https://huggingface.co/datasets/Lots-of-LoRAs/task153_tomqa_find_location_hard_clean | tomqa find location hard clean |
067 | task067_abductivenli_answer_generation | 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... | [
"Story Composition"
] | [
"Commonsense -> Stories"
] | [
"abductive_nli"
] | [
"Temporal Reasoning",
"Commonsense Reasoning",
"Abductive Reasoning",
"Textual Entailment -> Abductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Anjana Arunkumar"
] | [{"input": "Beginning: Helen lived in the state of Washington. Ending: Helen stayed home instead and planned to go another day.", "output": "Helen planned to drive to Canada but it started snowing heavily.", "explanation": "Generally, people prefer not to drive in bad weather."}, {"input": "Beginning: Helen lived in th... | [{"input": "Beginning: There was a severe earthquake in San Fransisco. Ending: Trains to San Fransisco were halted for a week.", "output": "Earthquakes are very common in California.", "explanation": "The general frequency of earthquakes in California does not explain why trains were stopped in San Fransisco for the pa... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task067 | https://huggingface.co/datasets/Lots-of-LoRAs/task067_abductivenli_answer_generation | abductivenli answer generation |
1596 | task1596_event2mind_text_generation_2 | 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. | [
"Misc."
] | [
"Stereotypes",
"Sociology",
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"event2mind"
] | [
"Relational Reasoning",
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Abdullah Masud"
] | [{"input": "PersonX keeps ___ in mind", "output": "to remember something", "explanation": "this is a good example because this is likely why PersonX would keep something in mind."}, {"input": "PersonX celebrates the lord 's ___", "output": "to show respect to the lord", "explanation": "this is a good example because Pe... | [{"input": "PersonX calls PersonX's brother", "output": "to sleep.", "explanation": "This is a bad example because the intent of sleeping does not match the action of calling someone's brother"}, {"input": "PersonX wastes PersonX's day", "output": "happy", "explanation": "This is a bad answer because it describes how P... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1596 | https://huggingface.co/datasets/Lots-of-LoRAs/task1596_event2mind_text_generation_2 | event2mind text generation 2 |
1292 | task1292_yelp_review_full_text_categorization | You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place. | [
"Sentiment Analysis"
] | [
"Reviews"
] | [
"yelp_review_full"
] | [
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) by the overpriced margaritas. I ordered a platinum which contained \\\"fresh\\\" juice. It tasted like it had sprite in it, so I thought surely she gave me the wrong one. It turns out that \\\"fresh juice\\\" is rea... | [{"input": "Now, my poor rating could possibly be from what i ordered, but that wasn't the full story. I ordered the sliders which came with 3 small different burgers. None of them impressed me much, they were cooked medium which is the only choice for sliders but it was only medium in the very center, the rest was a l... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1292 | https://huggingface.co/datasets/Lots-of-LoRAs/task1292_yelp_review_full_text_categorization | yelp review full text categorization |
1418 | task1418_bless_semantic_relation_classification | Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum b... | [
"Word Relation Classification"
] | [
"Animals",
"Commonsense"
] | [
"bless"
] | [
"Commonsense Reasoning",
"Relational Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Atharva Naik"
] | [{"input": "Concept: alligator, Relatum: lizard.", "output": "coord", "explanation": "Alligator and lizard belong to the same semantic class of reptiles, so the relation is coordinate."}, {"input": "Concept: alligator, Relatum: animal.", "output": "hyper", "explanation": "Animal is a general category of which alligator... | [{"input": "Concept: trumpet, Relatum: elephant.", "output": "coord", "explanation": "This answer is incorrect as a trumpet is a musical instrument while an elephant is an animal, and therefore the two belong to different semantic classes. The correct answer should be random, as the two words are unrelated."}, {"input"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1418 | https://huggingface.co/datasets/Lots-of-LoRAs/task1418_bless_semantic_relation_classification | bless semantic relation classification |
1320 | task1320_country_domain_tld | In this task, you are given a country name and you need to return the Top Level Domain (TLD) of the given country. The TLD is the part that follows immediately after the "dot" symbol in a website's address. The output, TLD is represented by a ".", followed by the domain. | [
"Misc."
] | [
"Countries"
] | [
"country_domain_tld_dataset"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sumanta Patro"
] | [{"input": "Andorra", "output": ".ad", "explanation": ".ad is the TLD of the country called Andorra."}, {"input": "India", "output": ".in", "explanation": ".in is the TLD of the country called India."}] | [{"input": "Anguilla", "output": ".aq", "explanation": ".aq is not the TLD of the country called Anguilla. However, .ai is the TLD of the country called Anguilla."}, {"input": "Afghanistan", "output": ".at", "explanation": ".at is not the TLD of the country called Kyrgyzstan. However, .af is the TLD of the country call... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1320 | https://huggingface.co/datasets/Lots-of-LoRAs/task1320_country_domain_tld | country domain tld |
617 | task617_amazonreview_category_text_generation | In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | [
"Text Categorization"
] | [
"Reviews"
] | [
"multilingual_amazon_reviews"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "Arrived broken. Manufacturer defect. Two of the legs of the base were not completely formed, so there was no way to insert the casters. I unpackaged the entire chair and hardware before noticing this. So, I'll spend twice the amount of time boxing up the whole useless thing and send it back with a 1-star re... | [{"input": "Took way too long for these seeds to arrive and for only a single one to germinate is even more disappointing! Not worth the $", "output": "electronics", "explanation": "The product belongs to the category related to gardening. So, it's a wrong category."}, {"input": "This was the third pair that I returned... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task617 | https://huggingface.co/datasets/Lots-of-LoRAs/task617_amazonreview_category_text_generation | amazonreview category text generation |
1286 | task1286_openbookqa_question_answering | In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D"). | [
"Question Answering"
] | [
"Natural Science"
] | [
"openbookqa"
] | [
"Commonsense Reasoning",
"Multihop Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Deserts are in extremely dry environments, so liquids will naturally be (A) rainbow (B) plentiful (C) meager (D) talented", "output": "C", "explanation": "This is a good example and the output correctly answers the question."}, {"input": "Dairy has things in it that would make humans sick, so in order for d... | [{"input": "the closest star to the human planet delivers solar energy to the planet (A) maybe (B) the moon (C) this is uncertain (D) this is affirmative", "output": "B", "explanation": "This is affirmative that the closest star to the human planet delivers solar energy to the planet. So, the correct output should be \... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1286 | https://huggingface.co/datasets/Lots-of-LoRAs/task1286_openbookqa_question_answering | openbookqa question answering |
692 | task692_mmmlu_answer_generation_computer_security | You are given a question on computer security. 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. | [
"Question Answering"
] | [
"Computer Science -> Computer Security"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Which of the following styles of fuzzer is more likely to explore paths covering every line of code in the following program?\n(A)Generational (B)Blackbox (C)Whitebox (D)Mutation-based", "output": "C", "explanation": "Whitebox is more like to explore path covering every line of code in the program"}, {"inpu... | [{"input": "Which of the following styles of fuzzer is more likely to explore paths covering every line of code in the following program?\n(A)Generational (B)Blackbox (C)Whitebox (D)Mutation-based", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task692 | https://huggingface.co/datasets/Lots-of-LoRAs/task692_mmmlu_answer_generation_computer_security | mmmlu answer generation computer security |
119 | task119_semeval_2019_task10_geometric_mathematical_answer_generation | You are given a geometric mathematical question. Questions in this task often involve shapes and Geometric Relationships. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'. LaTeX mathematic... | [
"Question Answering"
] | [
"Mathematics"
] | [
"semeval_2019_task_10"
] | [
"Commonsense Reasoning -> Numerical Commonsense Reasoning",
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Geometry"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "A ladder is placed against a building such that the top of the ladder forms an angle of 30 degrees with the side of the building. If the ladder is 20 feet long, how far in feet is the bottom of the ladder from the base of the building?\n(A)5 (B)10 (C)15 (D)\\(20\\sqrt{2}\\) (E)\\(20\\sqrt{3}\\)", "output": ... | [{"input": "A ladder is placed against a building such that the top of the ladder forms an angle of 30 degrees with the side of the building. If the ladder is 20 feet long, how far in feet is the bottom of the ladder from the base of the building?\n(A)5 (B)10 (C)15 (D)\\(20\\sqrt{2}\\) (E)\\(20\\sqrt{3}\\)", "output": ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task119 | https://huggingface.co/datasets/Lots-of-LoRAs/task119_semeval_2019_task10_geometric_mathematical_answer_generation | semeval 2019 task10 geometric mathematical answer generation |
1387 | task1387_anli_r3_entailment | In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment". | [
"Textual Entailment"
] | [
"Miscellaneous"
] | [
"anli"
] | [
"Textual Entailment",
"Quantitative Reasoning",
"Commonsense Reasoning",
"Causal Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Premise: If you can dream it, you can achieve it \u2014 unless you're a goose trying to play a very human game of rugby. In the video above, one bold bird took a chance when it ran onto a rugby field mid-play. Things got dicey when it got into a tussle with another player, but it shook it off and kept right... | [{"input": "Premise: Police said that a 21-year-old man was discovered after he had been shot in South Jamaica on Aug. 18 and is in critical condition. Just before 9:30 p.m., police responded to a shooting at 104-46 164th St and discovered the victim, whose name has not been released, at the scene. The victim was shot ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1387 | https://huggingface.co/datasets/Lots-of-LoRAs/task1387_anli_r3_entailment | anli r3 entailment |
1406 | task1406_kth_smallest_element | In this task, you are given a list of integers and an integer k. You need to find the kth smallest element in the input list and return that. | [
"Program Execution"
] | [
"Mathematics",
"Statistics"
] | [
"synthetic"
] | [
"Numerical Reasoning",
"Mathematics -> Statistics"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "[163, 290, 90, 51, 96, 86, 282, 265, 10, 85, 91, 201, 68, 126, 26, 228, 229, 236, 31, 71], k=14", "output": "201", "explanation": "201 is the 14th smallest element in the input list."}, {"input": "[96, 130, 190, 157, 253, 142, 272, 235, 233, 242, 18, 171, 66, 24, 290, 114, 36, 210, 138, 214], k=3", "output"... | [{"input": "[237, 60, 299, 274, 277, 46, 21, 42, 117, 37, 83, 281, 192, 127, 92, 218, 57, 143, 132, 99], k=4", "explanation": "60 is not the 4th smallest element in the input list. 46 is the 4th smallest element.", "output": "60"}, {"input": "[207, 243, 289, 205, 60, 78, 12, 187, 218, 70, 148, 75, 40, 184, 183, 231, 21... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1406 | https://huggingface.co/datasets/Lots-of-LoRAs/task1406_kth_smallest_element | kth smallest element |
903 | task903_deceptive_opinion_spam_classification | Given a hotel review and the corresponding polarity of review (i.e., Negative or Positive) identify if the polarity is correct. Write 'true' if it's correct, 'false' otherwise. | [
"Sentiment Analysis"
] | [
"Reviews"
] | [
"deceptive_opinion_spam_dataset"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Megh Patel"
] | [{"input": "Review: I stayed at the Hilton Chicago for my cousins wedding. The service was impeccable. Not only was the staff attentive, they were respectful and careful not to interrupt the guests or make themselves known when serving dinner. I had the chicken wellington and it was to die for! The chicken was perfect ... | [{"input": "Review: We had a great experience at this hotel. The hotel is Huge! The rooms were very clean, well appointed, and our room was very roomy with a great view of the snow covered park. The Staff was so nice and very helpfull. Donald, at the the Concierge desk scored us tickets to WICKED the day of the perform... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task903 | https://huggingface.co/datasets/Lots-of-LoRAs/task903_deceptive_opinion_spam_classification | deceptive opinion spam classification |
672 | task672_nummersense | In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words. | [
"Fill in The Blank"
] | [
"Commonsense"
] | [
"numersense"
] | [
"Commonsense Reasoning -> Numerical Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Tanay Dixit"
] | [{"input": "A lion has _ legs.", "output": "four", "explanation": "The most logical numeric answer in words is four."}, {"input": "Numbers less than _ are called negative.", "output": "zero", "explanation": "The most logical numeric answer in words is zero."}, {"input": "There are _ hours in a day.", "output": "twenty ... | [{"input": "A dog has _ legs.", "output": "4", "explanation": "Although the answer is correct it is not expressed in words."}, {"input": "Numbers less than _ are called negative.", "output": "one", "explanation": "The answer is logically wrong."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task672 | https://huggingface.co/datasets/Lots-of-LoRAs/task672_nummersense | nummersense |
846 | task846_pubmedqa_classification | 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. | [
"Answer Verification"
] | [
"Medicine"
] | [
"pubmed_qa"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Jalansh Munshi"
] | [{"input": "Question: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?\nAnswer: As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. ILC2s are also linked with high tissue and blood eosinophilia and have a potential... | [{"input": "Question: Is methylation of the FGFR2 gene associated with high birth weight centile in humans?\n Answer: We identified a novel biologically plausible candidate (FGFR2) for with BWC that merits further study.", "output": "no", "explanation": "It is mentioned in the answer that a novel biologically plausible... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task846 | https://huggingface.co/datasets/Lots-of-LoRAs/task846_pubmedqa_classification | pubmedqa classification |
357 | task357_casino_classification_negotiation_small_talk | The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | [
"Negotiation Strategy Detection"
] | [
"Dialogue"
] | [
"casino"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kushal Chawla"
] | [{"input": "Context: 'Great! So looks like all the water goes to you. I will take all the food if that is ok and we can split the wood. ' 'Well i would need one food and one wood' 'OK. I think that will work out for me. You get 3 water, 1 wood and 1 food. I will take the rest.'\nUtterance: 'Great that's an agreem... | [{"input": "Context: 'Hello! I am looking forward to the camping trip but could use a few more supplies!' 'hello, me too, i guess we can share' 'Sounds good, I need food the most, what is your most needed item?'\nUtterance: 'my item is food too.'", "output": "Yes", "explanation": "The purpose of the utterance is only t... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task357 | https://huggingface.co/datasets/Lots-of-LoRAs/task357_casino_classification_negotiation_small_talk | casino classification negotiation small talk |
1087 | task1087_two_number_sum | You are given a list of integers and an integer target, return a list of a pair of numbers in any order such that they add up to target. If there is no such pair of numbers, then return an empty list | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Quantitative Reasoning",
"Numerical Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "[2,4,5,6,4,8,9,10], target=10", "output": "[2,8]", "explanation": "2 and 8 are present in the list and sum to 10 which was the target sum"}, {"input": "[2,4,5,6,4,8,9,10], target=12", "output": "[2,10]", "explanation": "2 and 10 are present in the list and sum to 12 which was the target sum"}] | [{"input": "[2,4,23,6,12,8,9,14], target=8", "output": "[2,4]", "explanation": "2 and 4 do not sum to 8 which was the target sum"}, {"input": "[1,5,23,10,12,22,15,24], target=80", "output": "[23,22]", "explanation": "There is no such pair which sums to 80, so ideally the answer of this task should be []"}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1087 | https://huggingface.co/datasets/Lots-of-LoRAs/task1087_two_number_sum | two number sum |
587 | task587_amazonfood_polarity_correction_classification | 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". | [
"Sentiment Analysis"
] | [
"Reviews -> Food"
] | [
"amazon_fine_food_reviews"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most. \n Polarity: Positive", "output": "True", "e... | [{"input": "My daughter loves twizzlers and this shipment of six pounds really hit the spot. It's exactly what you would expect...six packages of strawberry twizzlers. \n Polarity: Positive", "output": "Positive", "explanation": "It's only supposed to say if the Polarity of given review is \"True\" or \"False\"."}, {"i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task587 | https://huggingface.co/datasets/Lots-of-LoRAs/task587_amazonfood_polarity_correction_classification | amazonfood polarity correction classification |
1656 | task1656_gooaq_answer_generation | Given a question as input, give its short_answer as the output | [
"Question Answering"
] | [
"Web"
] | [
"gooaq"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"NIKHIL CHANDRA NIRUKONDA"
] | [{"input": "1000 days is how many years?", "output": "2.73973", "explanation": "The output is the short_answer of the given input question based on the conversion formula days \u00f7 365 = years"}, {"input": "1000 kilograms equals how many pounds?", "output": "2204.62", "explanation": "The output is the short_answer of... | [{"input": "1000 hours is how many days?", "output": "43.6667", "explanation": "As the given input generates the output 43.6667 instead of the correct output 41.6667, we can say that the output is incorrect."}, {"input": "1000 ml equals how many liters?", "output": "2", "explanation": "As the given input generates the ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1656 | https://huggingface.co/datasets/Lots-of-LoRAs/task1656_gooaq_answer_generation | gooaq answer generation |
413 | task413_mickey_en_sentence_perturbation_generation | 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. | [
"Sentence Perturbation"
] | [
"Commonsense",
"Knowledge Base -> Wikidata"
] | [
"xcsr"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Stimulating the mind helps the brain to grow essential neural cells .", "output": "Stimulating the learning helps the brain to grow new neural cells .", "explanation": "This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about growin... | [{"input": "Country roads shocked me quite .", "output": "Night roads take me to moon .", "explanation": "The output is semantically similar to the input but it does not follow the commonsense as there is no road to the moon from the earth."}, {"input": "You would lucid dream because you believe to cure your loneliness... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task413 | https://huggingface.co/datasets/Lots-of-LoRAs/task413_mickey_en_sentence_perturbation_generation | mickey en sentence perturbation generation |
083 | task083_babi_t1_single_supporting_fact_answer_generation | You will be given a passage consisting of set of facts and a question as input. The task is to answer a question of form 'Where is <person_name>?' using one of the given facts to determine the latest location of the person. Answer should be a word/phrase describing the location from the supporting fact. Avoid answers t... | [
"Question Answering"
] | [
"Commonsense -> Concepts and Relations -> Spatial Commonsense"
] | [
"babi"
] | [
"Commonsense Reasoning -> Spatial Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Shailaja Keyur Sampat"
] | [{"input": "Passage: Mary moved to the bathroom. John went to the hallway. Question: Where is Mary?", "output": "bathroom", "explanation": "'Mary moved to the bathroom.' is a supporting fact from which we can conclude that Mary is in bathroom."}, {"input": "Passage: Mary moved to the bathroom. John went to the hallway.... | [{"input": "Passage: Mary moved to the bathroom. John went to the hallway. Question: Where is Mary?", "output": "Mary moved to the bathroom.", "explanation": "This is a bad answer because it copies the full sentence from the supporting fact. Answer should only contain a word/phrase describing the location. Therefore, t... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task083 | https://huggingface.co/datasets/Lots-of-LoRAs/task083_babi_t1_single_supporting_fact_answer_generation | babi t1 single supporting fact answer generation |
892 | task892_gap_reverse_coreference_resolution | Read the passage and find the corresponding pronoun for the given name. The word between ** ** is the target name. The pronoun should be one of 'her', 'him', 'he', 'she' and 'his' with proper casing based on the position in the passage. | [
"Coreference Resolution"
] | [
"Wikipedia"
] | [
"gap"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Selvaganesh Muthu"
] | [{"input": "His other television appearances included Comedy Central 's Comics Come Home special, The Dennis Miller Show, and Late Night with Conan O'Brien. He also worked as a writer on In Living Color. Prior to his death in 2005, **Thomas** was working as a writer for Air America Radio, and was a frequent guest at Ro... | [{"input": "The team also captured two East German Cups (FDGB Pokal) in 1971 and 1977, and made 42 European Cup appearances. During his career the small, strict trainer also coached 40 national team players and helped uncover talents such as Ulf Kirsten and Matthias Sammer. **Fritzsch** was succeeded as trainer at Dyna... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task892 | https://huggingface.co/datasets/Lots-of-LoRAs/task892_gap_reverse_coreference_resolution | gap reverse coreference resolution |
1711 | task1711_poki_text_generation | 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 ... | [
"Poem Generation"
] | [
"Books"
] | [
"poki"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Qiang Fu"
] | [{"input": "Onomatopeia sounds", "output": "my friend call this morning to hear the different sound she collect them in a bag and call me to her town the singing of the kettle the clanging of the anvil the ringing of the phone the wailing of the siren", "explanation": "the poem is related to sounds, and is in a style t... | [{"input": "Runny nose", "output": "the little worm be happy and new the little worm play like a happy worm the little worm be sleepy then he go to bed", "explanation": "the poem is not related to the title, Runny nose. Instead it talks about worms."}, {"input": "My Purple Fish", "output": "My Purple Fish", "explanatio... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1711 | https://huggingface.co/datasets/Lots-of-LoRAs/task1711_poki_text_generation | poki text generation |
594 | task594_sciq_question_generation | Given a scientific passage and an answer, generate a question for the given answer. | [
"Question Generation"
] | [
"Natural Science -> School Science Textbooks"
] | [
"sciq"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kuntal Kumar Pal"
] | [{"input": "Passage: A frameshift mutation is a deletion or insertion of one or more nucleotides that changes the reading frame of the base sequence. Deletions remove nucleotides, and insertions add nucleotides. Consider the following sequence of bases in RNA:. Answer: nucleotides.", "output": "A frameshift mutation is... | [{"input": "Science Passage': '6.3 | By the end of this section, you will be able to: \u2022 Discuss the concept of entropy \u2022 Explain the first and second laws of thermodynamics Thermodynamics refers to the study of energy and energy transfer involving physical matter. The matter and its environment relevant to a... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task594 | https://huggingface.co/datasets/Lots-of-LoRAs/task594_sciq_question_generation | sciq question generation |
211 | task211_logic2text_classification | In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | [
"Text to Code"
] | [
"Wikipedia",
"Logic -> Propositional Logic"
] | [
"logic2text"
] | [
"Logical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mihir Parmar"
] | [{"input": "Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.", "output": "yes", "explanation": "Here, the command... | [{"input": "Command: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }, interpretation: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.", "output": "no", "explanation": "Given command and ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task211 | https://huggingface.co/datasets/Lots-of-LoRAs/task211_logic2text_classification | logic2text classification |
034 | task034_winogrande_question_modification_object | In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | [
"Question Rewriting"
] | [
"Commonsense -> Concepts and Relations -> Social Commonsense",
"Commonsense -> Concepts and Relations -> Physical Commonsense"
] | [
"winogrande"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Swaroop Mishra",
"Daniel Khashabi"
] | [{"input": "Context word: fit. \nQuestion: The trophy doesn't fit into the brown suitcase because _ is too large. \nAnswer: trophy.", "output": "The trophy doesn't fit into the brown suitcase because _ is too small.", "explanation": "Here, replacing the trigger word \"large\" by its antonym \"small\" flips answer to th... | [{"input": "Context word: fit. \nQuestion: The trophy doesn't fit into the brown suitcase because _ is too large. \nAnswer: trophy.", "output": "The trophy doesn't fit into the brown suitcase because there were a lot of other eseential items and jewlleries to pack and _ is too large.", "explanation": "The problem here... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task034 | https://huggingface.co/datasets/Lots-of-LoRAs/task034_winogrande_question_modification_object | winogrande question modification object |
890 | task890_gcwd_classification | Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither agrees nor ... | [
"Textual Entailment"
] | [
"Economics"
] | [
"gwsd"
] | [
"Textual Entailment"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Selvaganesh Muthu"
] | [{"input": "Most global warming is natural and even if there had been no Industrial Revolution current global temperatures would be almost exactly the same as they are now.", "output": "disagrees", "explanation": "The sentence explicitly states the global warming is natural. It also adds the temperatures would be the s... | [{"input": "We can not live on fossil fuel forever.", "output": "disagrees", "explanation": "The sentence only suggests that we cannot live on fossil fuels forever. It does not provide any information about global warming. So this sentence has a neutral stance on global warming and hence this is incorrect."}, {"input":... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task890 | https://huggingface.co/datasets/Lots-of-LoRAs/task890_gcwd_classification | gcwd classification |
1385 | task1385_anli_r1_entailment | In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment". | [
"Textual Entailment"
] | [
"Miscellaneous"
] | [
"anli"
] | [
"Textual Entailment",
"Quantitative Reasoning",
"Commonsense Reasoning",
"Causal Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Premise: Lost Moon: The Perilous Voyage of Apollo 13 (published in paperback as Apollo 13), is a non-fiction book first published in 1994 by astronaut James Lovell and journalist Jeffrey Kluger, about the failed April 1970 Apollo 13 lunar landing mission which Lovell commanded. The book is the basis of the ... | [{"input": "Premise: Will Wheaton, born Willie Mack Wheaton Jr. (born October 26, 1972) is an American singer, songwriter and musician. He grew up in Los Angeles and is the son of Gospel singer Juanita Wheaton. He studied music in his teens and was eventually tutored by Furman Fordham, whose former students include Len... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1385 | https://huggingface.co/datasets/Lots-of-LoRAs/task1385_anli_r1_entailment | anli r1 entailment |
750 | task750_aqua_multiple_choice_answering | You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | [
"Question Answering"
] | [
"Mathematics"
] | [
"aqua"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Tanay Dixit"
] | [{"input": "From a pack of 52 cards, two cards are drawn together at random. What is the probability of both the cards being kings? \n\n Option A:2/1223 \n\n Option B: 1/122 \n\n Option C: 1/221 \n\n Option D: 3/1253 \n\n Option E: 2/153 \n\n", "output": "Option C", "explanation": "Let s be the sample space. \n Then n(... | [{"input": "1 bottle costs 100 dollars , how much does 6 bottles cost? \n\n Option A: 100 \n\n Option B: 200 \n\n Option C: 600 \n\n Option D: 700 \n\n Option E: 500", "output": "Option A", "explanation": "I bottle costs = 100 hence 6 bottles = 6x100 = 600, hence Option C is correct"}, {"input": "If a day had 30 hours ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task750 | https://huggingface.co/datasets/Lots-of-LoRAs/task750_aqua_multiple_choice_answering | aqua multiple choice answering |
703 | task703_mmmlu_answer_generation_high_school_geography | You are given a question on high school geography. 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. | [
"Question Answering"
] | [
"Geography"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "The main factor preventing subsistence economies from advancing economically is the lack of\n(A)a currency. (B)a well-connected transportation infrastructure. (C)government activity. (D)a banking service.", "output": "B", "explanation": "The main factor preventing subsistence economies from advancing econom... | [{"input": "The main factor preventing subsistence economies from advancing economically is the lack of\n(A)a currency. (B)a well-connected transportation infrastructure. (C)government activity. (D)a banking service.", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the followi... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task703 | https://huggingface.co/datasets/Lots-of-LoRAs/task703_mmmlu_answer_generation_high_school_geography | mmmlu answer generation high school geography |
363 | task363_sst2_polarity_classification | 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 | [
"Sentiment Analysis"
] | [
"Reviews -> Movies"
] | [
"sst2"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Giannis Karamanolakis"
] | [{"input": "It 's a lovely film with lovely performances by Buy and Accorsi .", "output": "POS", "explanation": "The sentiment of the sentence is positive. Hence, the label is 'POS'."}, {"input": "Here 's yet another studio horror franchise mucking up its storyline with glitches casual fans could correct in their sleep... | [{"input": "A smart , witty follow-up .", "output": "NEG", "explanation": "Although the sentiment of the sentence is positive, the label is 'NEG'. Hence, the label should be 'POS'."}, {"input": "Ultimately feels empty and unsatisfying , like swallowing a Communion wafer without the wine .", "output": "POS", "explanatio... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task363 | https://huggingface.co/datasets/Lots-of-LoRAs/task363_sst2_polarity_classification | sst2 polarity classification |
499 | task499_extract_and_add_all_numbers_from_list | In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum. | [
"Program Execution"
] | [
"Code"
] | [
"synthetic"
] | [
"Quantitative Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "['238', 'h', '92', 'U', '2799']", "output": "3129", "explanation": "Here, the numbers in the input list are '238', '92' and '2799', hence their sum (238+92+2799) is 3129."}, {"input": "['U', '6923', 'y', 'm', 'v', 'M', 'Y', '87667', 'E', '6059', 'p']", "output": "100649", "explanation": "Here, the numbers i... | [{"input": "['7475', 'B', '2459', 'm', '8349', 'O', 'q', 'Y', 'f']", "output": "8349", "explanation": "Here, the answer should have been '18283' as the numbers in the input list are '7475', '2459', and '8349', hence their sum (7475+2459+8349) is 18283."}, {"input": "['75', '54', 'J', 'L', '2332', 'Z', 'e', '366']", "ou... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task499 | https://huggingface.co/datasets/Lots-of-LoRAs/task499_extract_and_add_all_numbers_from_list | extract and add all numbers from list |
318 | task318_stereoset_classification_gender | You are given a target person and two sentences. Your task is to determine whether the second sentence conveys 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 ... | [
"Stereotype Detection"
] | [
"Stereotypes"
] | [
"stereoset"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "Target: mother \nThe mother walked into her kitchen. She pulled a beer out of the fridge and leaned against the doorway, sipping it slowly.", "output": "anti-stereotype", "explanation": "This is an anti-stereotype because as a stereotype, mothers do not drink alcohol and do not have a casual, care-free stan... | [{"input": "Target: mother \nThe mother walked into her kitchen. She pulled a beer out of the fridge and leaned against the doorway, sipping it slowly.", "output": "stereotype", "explanation": "Mothers are stereotypically looked at as orderly. The second sentence is more of a stereotype for a father."}, {"input": "Targ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task318 | https://huggingface.co/datasets/Lots-of-LoRAs/task318_stereoset_classification_gender | stereoset classification gender |
564 | task564_discofuse_classification | 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... | [
"Discourse Relation Classification"
] | [
"Wikipedia"
] | [
"discofuse"
] | [
"Relational Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Phani Rohitha Kaza"
] | [{"input": "Sentence 1:Paladin Blake , CEO of Blake Aviation Security then warns the Fortune Hunters to leave Pacifica given Blake has a zeppelin containing an armada of fighters . Sentence 2:The Fortune Hunters however sabotage the zeppelin and destroy it , along with Nathan personally fighting Blake himself .", "outp... | [{"input": "Sentence 1:Though Narayanaswamy 's singing bore his master Ariyakudi 's Bani , over the years he evolved a unique style of his own . Sentence 2:Strict classicism and blemish-less singing are some of the obvious facets of his music .", "output": "PAIR_NONE", "explanation": "Given two sentences, they are inco... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task564 | https://huggingface.co/datasets/Lots-of-LoRAs/task564_discofuse_classification | discofuse classification |
1207 | task1207_atomic_classification_atlocation | 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... | [
"Commonsense Classification"
] | [
"Sociology",
"Commonsense -> Concepts and Relations -> Physical Commonsense",
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"atomic"
] | [
"Relational Reasoning",
"Reasoning on Objects",
"Commonsense Reasoning -> Physical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Head: coupon<sep>Tail: market", "output": "Yes", "explanation": "This is a good example. The Head can be found at the Tail."}, {"input": "Head: PersonX achieves PersonY end<sep>Tail: to help PersonY", "output": "No", "explanation": "In this example, the Tail is not the location of the Head. So the output sh... | [{"input": "Head: PersonX accepts the dare<sep>Tail: To know what the dare is", "output": "Yes", "explanation": "In this example, the Tail is not the location of the Head. So the output should be \"No\"."}, {"input": "Head: crab<sep>Tail: basket", "output": "No", "explanation": "In this example, the crabs can be found ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1207 | https://huggingface.co/datasets/Lots-of-LoRAs/task1207_atomic_classification_atlocation | atomic classification atlocation |
1520 | task1520_qa_srl_answer_generation | In this task, you are given a sentence and question which can be answered using the sentence. Your task is to answer the question using the information from the sentence. The answer to the question is unique and it is a continuous text span from the sentence. | [
"Question Answering"
] | [
"News",
"Wikipedia"
] | [
"qa_srl"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sai Venkat Subramani"
] | [{"input": "Sentence: The album is named after the discredited pseudoscience of phrenology , the study of head shapes to determine intelligence and character , which was used to rationalize racism during the 19th century in the United States . \n Question: what is named after something?", "output": "The album", "expl... | [{"input": "Sentence: On September 21 , 1955 , Moore went up in weight to face future Hall of Famer Rocky Marciano for Marciano 's Heavyweight Championship .\n Question: who went up in something?", "output": "Rocky", "explanation": "Though the answer is a span from the text, the output does not answer the question as M... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1520 | https://huggingface.co/datasets/Lots-of-LoRAs/task1520_qa_srl_answer_generation | qa srl answer generation |
206 | task206_collatz_conjecture | 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. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Quantitative Reasoning",
"Numerical Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[7, 9, 2, 8]", "output": "[22, 28, 1, 4]", "explanation": "The odd numbers, seven and nine, were multiplied by three and added one. The even numbers, two and eight, were divided by two. So this is a good example."}, {"input": "[3, 4, 5, 6, 7]", "output": "[10, 2, 16, 3, 22]", "explanation": "The rules are a... | [{"input": "[4, 10, 5, 11]", "output": "[4, 10, 5, 11, 2, 5, 16, 34]", "explanation": "The output appended the new values to the input list. So this is a bad example."}, {"input": "[3, 9, 4, 1, 2]", "output": "[1.5, 4.5, 13, 0.5, 7]", "explanation": "The output divided the odd numbers by two, and multiplied the even nu... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task206 | https://huggingface.co/datasets/Lots-of-LoRAs/task206_collatz_conjecture | collatz conjecture |
138 | task138_detoxifying-lms_classification_fluency | Given a prompt and two completions from a language model, select the completion that is the most fluent with respect to continuing the prompt. Fluency is defined by coherency and ease of understanding, not necessarily grammatical correctness. Generate either Completion A or Completion B. | [
"Text Completion"
] | [
"Social Media -> Twitter"
] | [
"detoxifying_lms"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Albert Xu",
"Eshaan Pathak",
"Eric Wallace",
"Suchin Gururangan",
"Maarten Sap",
"Dan Klein"
] | [{"input": "Prompt: Im 99 percent sure it was someone being an \nCompletion A: accomplice , or maybe just plain old con man . whatever it was , it 's over . \" \nCompletion B: asshole, your right?) but it's an awkward subject in which if you were in the trouble of \"me\", i mean \"fucking idiot\" jrgh... i dunno...I gu... | [{"input": "Prompt: Im 99 percent sure it was someone being an \nCompletion A: accomplice , or maybe just plain old con man . whatever it was , it 's over . \" \nCompletion B: asshole, your right?) but it's an awkward subject in which if you were in the trouble of \"me\", i mean \"fucking idiot\" jrgh... i dunno...I gu... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task138 | https://huggingface.co/datasets/Lots-of-LoRAs/task138_detoxifying-lms_classification_fluency | detoxifying-lms classification fluency |
1308 | task1308_amazonreview_category_classification | 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". | [
"Text Categorization"
] | [
"Reviews"
] | [
"multilingual_amazon_reviews"
] | [
"Reasoning on Social Interactions",
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "Review: Arrived broken. Manufacturer defect. Two of the legs of the base were not completely formed, so there was no way to insert the casters. I unpackaged the entire chair and hardware before noticing this. So, I'll spend twice the amount of time boxing up the whole useless thing and send it back with a 1... | [{"input": "Review: Took way too long for these seeds to arrive and for only a single one to germinate is even more disappointing! Not worth the $ \n Category: gardening", "output": "gardening", "explanation": "It's only supposed to generate True or False."}, {"input": "Review: This was the third pair that I returned b... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1308 | https://huggingface.co/datasets/Lots-of-LoRAs/task1308_amazonreview_category_classification | amazonreview category classification |
335 | task335_hateeval_classification_aggresive_en | In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced... | [
"Toxic Language Detection"
] | [
"Social Media -> Twitter"
] | [
"hateeval"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Post: This immigrant should be hung or shot! Period! Animal.", "output": "Aggresive", "explanation": "This post is aggresive because it is abusive to immigrants."}, {"input": "Post: We already have the highest per capita immigration in the world, and the nearly 30-minute monologue segment failed to mentio... | [{"input": "Post: @realDonaldTrump Please DO NOT listen to lame duck @SpeakerRyan immigration/The Wall is way more important than tax 2.0! Stick to your instinct #BuildThatWall #BuildTheDamnWall #DeportThemAll", "output": "Aggresive", "explanation": "This should be non-aggresive, although it is hateful."}, {"input": "P... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task335 | https://huggingface.co/datasets/Lots-of-LoRAs/task335_hateeval_classification_aggresive_en | hateeval classification aggresive en |
366 | task366_synthetic_return_primes | In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned. | [
"Program Execution"
] | [
"Code",
"Mathematics"
] | [
"synthetic"
] | [
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[47, 444, 859, 530, 197, 409]", "output": "[47, 859, 197, 409]", "explanation": "The integers '444' and '530' are not prime integers and they were removed from the list."}, {"input": "[351, 922, 810, 625, 4]", "output": "[]", "explanation": "None of the integers in the input list were primes and the output ... | [{"input": "[569, 203, 197, 79, 888]", "output": "[203, 888]", "explanation": "The output contains integers that are not prime."}, {"input": "[323, 151, 2, 111, 601]", "output": "[151, 601]", "explanation": "The output removed the integer '2'. This integer is a prime and should not have been removed."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task366 | https://huggingface.co/datasets/Lots-of-LoRAs/task366_synthetic_return_primes | synthetic return primes |
666 | task666_mmmlu_answer_generation_astronomy | You are given a question on astronomy. Astronomy is a natural science that studies celestial objects and phenomena. 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... | [
"Question Answering"
] | [
"Astronomy"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "What is true for a type-Ia (\"type one-a\") supernova?\n(A)This type occurs in binary systems. (B)This type occurs in young galaxies. (C)This type produces gamma-ray bursts. (D)This type produces high amounts of X-rays.", "output": "A", "explanation": "A type-Ia supernova occurs in binary systems"}, {"input... | [{"input": "What is true for a type-Ia (\"type one-a\") supernova?\n(A)This type occurs in binary systems. (B)This type occurs in young galaxies. (C)This type produces gamma-ray bursts. (D)This type produces high amounts of X-rays.", "output": "I dont know.", "explanation": "Do not generate anything else apart from one... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task666 | https://huggingface.co/datasets/Lots-of-LoRAs/task666_mmmlu_answer_generation_astronomy | mmmlu answer generation astronomy |
600 | task600_find_the_longest_common_substring_in_two_strings | In this task, you are given two strings A, B. Find the longest common substring in the strings A and B. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Reasoning on Strings"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "PPdQTlHHTJEe, DydQTlHHVnmlLu", "output": "dQTlHH", "explanation": "Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe' and 'DydQTlHHVnmlLu'."}, {"input": "cjnxmKkFdEcg, iHHnxmKkFeIjOoM", "output": "nxmKkF", "explanation": "Here, 'nxmKkF' is the longest common substring in... | [{"input": "bueLCZaiEBNGJlkwMBZ, gFmuwsEBNGJlkwpdySJVR", "output": "EBNG", "explanation": "Here, the answer should have been 'EBNGJlkw' as it is the longest common substring in both the input strings 'bueLCZaiEBNGJlkwMBZ', and 'gFmuwsEBNGJlkwpdySJVR'."}, {"input": "bYubMFxyTqR, AcDbMFxSnI", "output": "MF", "explanation... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task600 | https://huggingface.co/datasets/Lots-of-LoRAs/task600_find_the_longest_common_substring_in_two_strings | find the longest common substring in two strings |
1609 | task1609_xquad_en_question_generation | 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. | [
"Question Generation"
] | [
"Wikipedia"
] | [
"xquad"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Srija Macherla"
] | [{"input": "There are a million times more viruses on the planet than stars in the universe. Viruses also harbor the majority of genetic diversity on Earth. Scientists are finding evidence of viruses as a planetary force, influencing the global climate and geochemical cycles. They have also profoundly shaped the evolut... | [{"input": "My cherished toy as a new teenager was my bicycle. We lived in a soi with lots of pavement and no cars. I was head of the bike gang and we would set up ramps for jumps and design obstacle courses for racing.", "output": "What was the cherished car of the boy?", "explanation": "The paragraph claims that the ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1609 | https://huggingface.co/datasets/Lots-of-LoRAs/task1609_xquad_en_question_generation | xquad en question generation |
1582 | task1582_bless_hypernym_generation | Given a concept word, generate a hypernym for it. A hypernym is a superordinate, i.e., a word with a broad meaning constituting a category, that generalizes another word. For example, color is a hypernym of red. | [
"Word Semantics"
] | [
"Miscellaneous"
] | [
"bless"
] | [
"Reasoning on Objects"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Atharva Naik"
] | [{"input": "knife", "output": "weapon", "explanation": "A knife is a type of weapon, therefore weapon is a valid hypernym for knife."}, {"input": "beet", "output": "root", "explanation": "Beets are root vegetables, therefore root is a valid hypernym for beet."}] | [{"input": "washer", "output": "dishwasher", "explanation": "Washer and dishwasher are both appliances, however dishwasher is not a class or category to which washer belongs. So the output is incorrect as it is not a valid hypernym."}, {"input": "mug", "output": "coffee", "explanation": "A mug can contain coffee, but a... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1582 | https://huggingface.co/datasets/Lots-of-LoRAs/task1582_bless_hypernym_generation | bless hypernym generation |
304 | task304_numeric_fused_head_resolution | In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | [
"Coreference Resolution"
] | [
"Dialogue"
] | [
"numeric_fused_head"
] | [
"Commonsense Reasoning -> Numerical Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "Jess Mastriani: No, I don't want another crooler, thank you very much.\n FBI Agent Nicole Scott: But it's good for you. It's got... honeyglaze. Please die for this crooler, Jess.\n Jess Mastriani: I've had _ two _ already. Who eats three croolers in a night? \nFBI Agent Nicole Scott: Take a look. [Nicole ta... | [{"input": "Joy Stark: I'm paying our credit card bill.\nEddie Stark: Well why you sending them 500 dollars? \nJoy Stark: Because we owe them _ 1200 _.", "output": "YEAR", "explanation": "From the context, it can be driven that 1200 describes an amount of money, and doesn't refer to a year."}, {"input": "Joy Stark: Oka... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task304 | https://huggingface.co/datasets/Lots-of-LoRAs/task304_numeric_fused_head_resolution | numeric fused head resolution |
325 | task325_jigsaw_classification_identity_attack | In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation. | [
"Toxic Language Detection"
] | [
"Social Media"
] | [
"jigsaw"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Comment: It's bad enough we already have all these American sicko's living in this country shooting up theatre, schools, churches, malls, etc., we don't have room for crazy muslims.", "output": "Identity-attack", "explanation": "This comment contains identity attacks on both American and Muslim."}, {"input"... | [{"input": "Comment: We are living in a cesspool.", "output": "Identity-attack", "explanation": "This comment should be non-identity-attack because it is not disrespectful to any groups."}, {"input": "Comment: ahhh...poor muslims. things are so much better in islamic countries where they MUST bury their dead according ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task325 | https://huggingface.co/datasets/Lots-of-LoRAs/task325_jigsaw_classification_identity_attack | jigsaw classification identity attack |
701 | task701_mmmlu_answer_generation_high_school_computer_science | You are given a question on high school computer science. 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. | [
"Question Answering"
] | [
"Computer Science"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Logical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Let x = 1. What is x << 3 in Python 3?\n(A)1 (B)3 (C)8 (D)16", "output": "C", "explanation": "<< is the right shift operator"}, {"input": "In Python 3, which of the following function convert a string to an int in python?\n(A)int(x [,base]) (B)long(x [,base] ) (C)float(x) (D)str(x)", "output": "A", "explana... | [{"input": "Let x = 1. What is x << 3 in Python 3?\n(A)1 (B)3 (C)8 (D)16", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": "In Python 3, which of the following function convert a string to an int in python?\n(A)int(x [,b... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task701 | https://huggingface.co/datasets/Lots-of-LoRAs/task701_mmmlu_answer_generation_high_school_computer_science | mmmlu answer generation high school computer science |
316 | task316_crows-pairs_classification_stereotype | 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 Detection"
] | [
"Stereotypes"
] | [
"crows_pairs"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Passage: He couldn't figure out the issue with the rope, but he tried not to get too down on himself, most black kids don't have the best education growing up.", "output": "Stereotype", "explanation": "This is a stereotype because it is a common mental picture that black kids do not receive proper education... | [{"input": "Passage: He sent the message to his city, but the majority there were black so he was worried if they could even read it.", "output": "Anti-stereotype", "explanation": "This should be a stereotype because it agrees with the common but over-generalized belief that black people have more difficulty in reading... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task316 | https://huggingface.co/datasets/Lots-of-LoRAs/task316_crows-pairs_classification_stereotype | crows-pairs classification stereotype |
291 | task291_semeval_2020_task4_commonsense_validation | In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense. | [
"Commonsense Classification"
] | [
"Commonsense -> Concepts and Relations"
] | [
"semeval_2020_task4"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "A mosquito stings me\nI sting a mosquito", "output": "second", "explanation": "The second statement doesn't make sense."}, {"input": "He drinks apple.\nHe drinks milk.", "output": "first", "explanation": "The first statement doesn't make sense."}, {"input": "Jeff ran a mile today\nJeff ran 100,000 miles tod... | [{"input": "He drinks apple.\nHe drinks milk.", "output": "I can't decide.", "explanation": "Do not generate anything else apart from one of the following characters: 'first', 'second'."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task291 | https://huggingface.co/datasets/Lots-of-LoRAs/task291_semeval_2020_task4_commonsense_validation | semeval 2020 task4 commonsense validation |
275 | task275_enhanced_wsc_paraphrase_generation | In this task, you will be given a sentence or two along with a change aspect. You should change the given text in the given aspect. Aspects are explained below:
Tense: Change the tense of the verbs in the text. If they're in past tense, change them to present, and if they're in present tense, change them to past tense... | [
"Sentence Perturbation"
] | [
"Dialogue",
"Narrative"
] | [
"wsc; enhanced_wsc"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "sentence: Jim signaled the barman and gestured toward his empty glass . aspect: Number", "output": "Jim and Bill signaled the barmen and gestured toward their empty glasses .", "explanation": "You have to add people names and change the pronouns if you want to change the number aspect of the sentence."}, {... | [{"input": "sentence: George got free tickets to the play , but he gave them to Eric , because he was not particularly eager to see it . aspect: Voice", "output": "George is getting free tickets to the play , but he will give them to Eric , because he is not particularly eager to see it .", "explanation": "This example... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task275 | https://huggingface.co/datasets/Lots-of-LoRAs/task275_enhanced_wsc_paraphrase_generation | enhanced wsc paraphrase generation |
475 | task475_yelp_polarity_classification | 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. | [
"Sentiment Analysis"
] | [
"Reviews -> Movies"
] | [
"yelp_polarity"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Giannis Karamanolakis"
] | [{"input": "This is my go to place to get the best chicken Pad Thai! Also the price is super good, considering most places have high prices and poor quality. Love this place, its definitely a top 5 fav for take out.", "output": "POSITIVE", "explanation": "The overall sentiment of the review is positive. Hence, the labe... | [{"input": "Ordered the surf and turf. It came with a small rip eye steak 3 shrimp. Also garlic mashed potatoes hard and cold. Extremely disappointed. Small portions and over priced.", "output": "POSITIVE", "explanation": "Although the sentiment of the review is negative (e.g., the author is 'dissappointed'), the label... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task475 | https://huggingface.co/datasets/Lots-of-LoRAs/task475_yelp_polarity_classification | yelp polarity classification |
1157 | task1157_bard_analogical_reasoning_rooms_for_containers | Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation. | [
"Word Analogy"
] | [
"Commonsense"
] | [
"bard"
] | [
"Relational Reasoning",
"Commonsense Reasoning",
"Analogical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arjun Ashok"
] | [{"input": "shelf : nursury. cabinet : ?", "output": "bathroom", "explanation": "The given analogy relates objects to their rooms. A shelf is associated with a nursery. A cabinet is associated with a bathroom"}, {"input": "dresser : bedroom. boxes : ?", "output": "garage", "explanation": "The given analogy relates obje... | [{"input": "dresser : bedroom. boxes : ?", "output": "fill", "explanation": "The given analogy relates objects to their rooms. A dresser is associated with a bedroom. Fill is not a room, and hence the answer does not model containment"}, {"input": "workbench : garage. pantry : ?", "output": "store", "explanation": "The... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1157 | https://huggingface.co/datasets/Lots-of-LoRAs/task1157_bard_analogical_reasoning_rooms_for_containers | bard analogical reasoning rooms for containers |
477 | task477_cls_english_dvd_classification | In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied). | [
"Sentiment Analysis"
] | [
"Reviews -> Electronics and Grocery"
] | [
"cls"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Giannis Karamanolakis"
] | [{"input": "My Kids Love It . My 2 & 3 year old love this movie. They love to dance to the music. Garfield is so entertaining. This was a great buy.", "output": "POS", "explanation": "The overall sentiment of the review is positive as the reviewer refers to the dvd with positive expressions such as 'love it', 'enterta... | [{"input": "Best seen with low expectations . A strong sense of place was one of the many strengths of Matthieu Kassovitz's under-rated crowd-pleaser 'The Crimson Rivers,' one of the best French thrillers in years, but, despite including dying steel towns, artificial lakes, monasteries and even the Maginot Line among i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task477 | https://huggingface.co/datasets/Lots-of-LoRAs/task477_cls_english_dvd_classification | cls english dvd classification |
296 | task296_storycloze_correct_end_classification | In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent. | [
"Text Completion"
] | [
"Story"
] | [
"roc_stories"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf. \n (A) He is happy now. (B) He joined a gang.", "output": "A", "explanat... | [{"input": "Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf. \n (A) He is happy now. (B) He joined a gang.", "output": "B", "explanat... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task296 | https://huggingface.co/datasets/Lots-of-LoRAs/task296_storycloze_correct_end_classification | storycloze correct end classification |
964 | task964_librispeech_asr_text_auto_completion | You are given an unfinished English sentence, and you need to predict the rest of it. | [
"Text Completion"
] | [
"Books"
] | [
"librispeech_asr,"
] | [
"Abductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Surya Singulur"
] | [{"input": "chapter one", "output": "missus rachel lynde is surprised missus rachel lynde lived just where the avonlea main road dipped down into a little hollow fringed with alders and ladies eardrops and traversed by a brook", "explanation": "This is the original sentence 'chapter one missus rachel lynde is surprised... | [{"input": "Hi, How are you", "output": "New York", "explanation": "This is a bad example because we need to predict 'doing?' to complete the sentence, but we have predicted 'New York.'"}, {"input": "Apple released a", "output": "new world every day", "explanation": "This is a bad example because we need to predict 'ne... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task964 | https://huggingface.co/datasets/Lots-of-LoRAs/task964_librispeech_asr_text_auto_completion | librispeech asr text auto completion |
1409 | task1409_dart_text_generation | In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | [
"Data to Text"
] | [
"Wikipedia"
] | [
"dart"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Rushang Karia"
] | [{"input": "[['Northwestern College', 'NICKNAME', 'Red Raiders'], ['Northwestern College', 'LOCATION', 'Orange City, Iowa']]", "output": "The team whose nickname is red raiders is located in the orange city, iowa", "explanation": "This sentence uses the triplets by correctly using the (subject, predicate, object) seman... | [{"input": "[['Graham Edwards', 'PROVINCE', 'North Metropolitan']]", "output": "Province North Metropolitan Province is represented by the Graham.", "explanation": "This sentence is a bad example since even though it utilizes the triplets, it does not form a coherent statement correctly. The subject (Graham Edwards) ap... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1409 | https://huggingface.co/datasets/Lots-of-LoRAs/task1409_dart_text_generation | dart text generation |
1148 | task1148_maximum_ascii_value | In this task, you are given a string with unique characters in it and you need to return the character from the string which has the maximum ASCII value. ASCII stands for American Standard Code For Information Interchange and It assigns a unique number to each character. The characters [a - z] have an ASCII range of 97... | [
"Program Execution"
] | [
"Computer Science"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "aBxyZde", "output": "y", "explanation": "y has the maximum ascii value in the given string."}, {"input": "ABXYGO", "output": "Y", "explanation": "Y has the maximum ascii value in the given string."}] | [{"input": "ABXyOMnde", "output": "X", "explanation": "X is not the character with maximum ascii value in the given string."}, {"input": "aBgAwOn", "output": "n", "explanation": "w is the character with the maximum ascii value and not n"}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1148 | https://huggingface.co/datasets/Lots-of-LoRAs/task1148_maximum_ascii_value | maximum ascii value |
351 | task351_winomt_classification_gender_identifiability_anti | In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable. | [
"Gender Classification"
] | [
"Miscellaneous"
] | [
"winomt"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Sentence: The farmer needed the accountant for crop tabulation and asked him for help.\n Profession: accountant", "output": "Identifiable", "explanation": "The accountant's gender is identifiable(male) because the pronoun \"him\" is linked to the accountant."}, {"input": "Sentence: The supervisor made the n... | [{"input": "Sentence: The driver asked the nurse for an examination because she was feeling ill.\n Profession: driver", "output": "Female", "explanation": "You are expected to answer with \"identifiable\" or \"unidentifiable\" and no specific genders. The driver's gender is identifiable."}, {"input": "Sentence: The man... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task351 | https://huggingface.co/datasets/Lots-of-LoRAs/task351_winomt_classification_gender_identifiability_anti | winomt classification gender identifiability anti |
359 | task359_casino_classification_negotiation_vouch_fair | The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | [
"Negotiation Strategy Detection"
] | [
"Dialogue"
] | [
"casino"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kushal Chawla"
] | [{"input": "Context: 'Yeah, I'm going to the desert so I'm hoping to have enough water. I'm good on food and I hunt for a lot of it anyways.' 'I've never been a good hunter. I wish I had those abilities.' 'I would part with all the food if I could get all the firewood.'\nUtterance: 'That seems fair. How about water. Ho... | [{"input": "Context: 'Heck yes! I am excited. How about you?' 'I can't wait \ud83d\ude42 Let's talk about these supplies. I've got hungry mouths to feed, Can I take the food and you can have half the firewood and all the water?' 'Hmm, I need food too. I am willing to split. I will give you 2 food since you claimed it f... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task359 | https://huggingface.co/datasets/Lots-of-LoRAs/task359_casino_classification_negotiation_vouch_fair | casino classification negotiation vouch fair |
107 | task107_splash_question_to_sql | In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely... | [
"Text to Code"
] | [
"Code -> Language -> SQL"
] | [
"splash"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "Find the id and city of the student address with the highest average monthly rental.", "output": "SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1", "explanation": "First we s... | [{"input": "Show the average room count of the apartments that have booking status code \"Provisional\".", "output": "SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = \"Provisional\"", "explanation": "The average \"bathroom_coun... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task107 | https://huggingface.co/datasets/Lots-of-LoRAs/task107_splash_question_to_sql | splash question to sql |
517 | task517_emo_classify_emotion_of_dialogue | 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. | [
"Sentiment Analysis"
] | [
"Dialogue"
] | [
"emo"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "i don't work i could take your shift i am a student ", "output": "other", "explanation": "In this dialogue someone is informing another person that they could take their shift. There is no happy, sad, or angry emotion in this text. So this is a good example."}, {"input": "i'm not getting you loudlycryingfac... | [{"input": "i hate my boyfriend you got a boyfriend yes", "output": "other", "explanation": "This text uses the word hate which is an angry emotion. The answer should have been angry not other. So this is a bad example."}, {"input": "you are lying and i know that i know you're lying ab bys loudlycryingfaceloudlycryingf... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task517 | https://huggingface.co/datasets/Lots-of-LoRAs/task517_emo_classify_emotion_of_dialogue | emo classify emotion of dialogue |
079 | task079_conala_concat_strings | In this task you will be given a list of strings and you need to concatenate them. | [
"Program Execution"
] | [
"Code -> Repo -> Stack Overflow"
] | [
"conala"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "['a', 'b', 'c']", "output": "abc", "explanation": "The strings 'a', 'b', 'c', got concatenated into the string 'abc'. So this is a good example."}, {"input": "['hello', 'world']", "output": "helloworld", "explanation": "The two strings, 'hello' and 'world', got concatenated into one large string 'helloworld... | [{"input": "['u', 's', 'a']", "output": "[us, a]", "explanation": "Not all of the string were concatenated into one string. This is a bad example."}, {"input": "['Cookies', 'are', 'yummy']", "output": "yummyarecookies", "explanation": "The strings are concatenated in the wrong order. This is a bad example."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task079 | https://huggingface.co/datasets/Lots-of-LoRAs/task079_conala_concat_strings | conala concat strings |
700 | task700_mmmlu_answer_generation_high_school_chemistry | You are given a question on high school chemistry. 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. | [
"Question Answering"
] | [
"Chemistry"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "London dispersion forces are caused by\n(A)temporary dipoles created by the position of electrons around the nuclei in a molecule (B)the three-dimensional intermolecular bonding present in all covalent substances (C)the uneven electron-to-proton ratio found on individual atoms of a molecule (D)the electrone... | [{"input": "London dispersion forces are caused by\n(A)temporary dipoles created by the position of electrons around the nuclei in a molecule (B)the three-dimensional intermolecular bonding present in all covalent substances (C)the uneven electron-to-proton ratio found on individual atoms of a molecule (D)the electrone... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task700 | https://huggingface.co/datasets/Lots-of-LoRAs/task700_mmmlu_answer_generation_high_school_chemistry | mmmlu answer generation high school chemistry |
710 | task710_mmmlu_answer_generation_high_school_statistics | You are given a question on high school statistics. 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. | [
"Question Answering"
] | [
"Statistics"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Logical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Statistics"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "The weight of an aspirin tablet is 300 milligrams according to the bottle label. An FDA investigator weighs a simple random sample of seven tablets, obtains weights of 299, 300, 305, 302, 299, 301, and 303, and runs a hypothesis test of the manufacturer's claim. Which of the following gives the P-value of t... | [{"input": "The weight of an aspirin tablet is 300 milligrams according to the bottle label. An FDA investigator weighs a simple random sample of seven tablets, obtains weights of 299, 300, 305, 302, 299, 301, and 303, and runs a hypothesis test of the manufacturer's claim. Which of the following gives the P-value of t... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task710 | https://huggingface.co/datasets/Lots-of-LoRAs/task710_mmmlu_answer_generation_high_school_statistics | mmmlu answer generation high school statistics |
819 | task819_pec_sentiment_classification | Given a sentence in English, provide the sentiment based on its empathetic direction. There are two possible classifications: positive (happy) or negative (offmychest). | [
"Sentiment Analysis"
] | [
"Social Media -> Reddit"
] | [
"pec"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "was down for a long time , wanted to show off what changed all that , my mermaid hair .", "output": "positive", "explanation": "This is considered positive sentiment since the speaker disjuncts \"was down for a long time\" with their new changed hair insinuating a positive sentiment; therefore, it is correc... | [{"input": "i have spent more than half my life biting my nails as an anxiety coping mechanism . today it 's exactly 3 months since i 'd stopped . it makes me so happy and proud and i have no one else to share it with .", "output": "negative", "explanation": "In this context, it is not correctly classified as the speak... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task819 | https://huggingface.co/datasets/Lots-of-LoRAs/task819_pec_sentiment_classification | pec sentiment classification |
1321 | task1321_country_continent | In this task, you are given a country name and you need to return the continent to which the country belongs. | [
"Misc."
] | [
"Countries"
] | [
"country_continent_dataset"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sumanta Patro"
] | [{"input": "Aruba", "output": "North America", "explanation": "North America is the continent to which the country Aruba belongs."}, {"input": "Afghanistan", "output": "Asia", "explanation": "Asia is the continent to which the country Afghanistan belongs."}] | [{"input": "Anguilla", "output": "Africa", "explanation": "Africa is not the continent to which the country Anguilla belongs. However, North America is the continent to which the country Anguilla belongs."}, {"input": "Argentina", "output": "Asia", "explanation": "Asia is not the continent to which the country Argentin... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1321 | https://huggingface.co/datasets/Lots-of-LoRAs/task1321_country_continent | country continent |
1322 | task1322_country_government_type | In this task, you are given a country name and you need to answer with the government type of the country, as of the year 2015. The following are possible government types that are considered valid answers: Republic, Parliamentary Coprincipality, Federal Republic, Monarchy, Islamic Republic, Constitutional Monarchy, Pa... | [
"Misc."
] | [
"Countries"
] | [
"country_government_type_dataset"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sumanta Patro"
] | [{"input": "Angola", "output": "Republic", "explanation": "Republic is the government type of the country called Angola."}, {"input": "Iran", "output": "Islamic Republic", "explanation": "Islamic Republic is the government type of the country called Iran."}] | [{"input": "Afghanistan", "output": "Republic", "explanation": "Republic is not the government type of the country called Afghanistan. However, Islamic Emirate is the government type of the country called Afghanistan."}, {"input": "Bhutan", "output": "Islamic Republic", "explanation": "Islamic Republic is not the gover... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1322 | https://huggingface.co/datasets/Lots-of-LoRAs/task1322_country_government_type | country government type |
1509 | task1509_evalution_antonyms | In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it. | [
"Word Semantics"
] | [
"Global Facts"
] | [
"evalution"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Atharva Naik"
] | [{"input": "accident", "output": "purpose", "explanation": "An accident is unintentional, while purpose involves intention. So the two words have opposite meaning and are hence antonyms."}, {"input": "ascend", "output": "descend", "explanation": "Ascend means going up, while descend means to go down, and hence it is th... | [{"input": "admire", "output": "praise", "explanation": "Admire and praise do not have opposite meanings, the opposite of admire would be dislike or criticize. Therefore the given output is incorrect."}, {"input": "battle", "output": "war", "explanation": "The output is incorrect because battle and war are not antonyms... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1509 | https://huggingface.co/datasets/Lots-of-LoRAs/task1509_evalution_antonyms | evalution antonyms |
550 | task550_discofuse_sentence_generation | In this task, you are given a second sentence. Your task is to generate the first sentence on the same topic but incoherent and inconsistent with the second sentence. | [
"Sentence Composition"
] | [
"Wikipedia"
] | [
"discofuse"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Phani Rohitha Kaza"
] | [{"input": "Additionally , they donated US $200,000 to the All Souls Hospital in Morristown , New Jersey , US $100,000 of which were donated specifically by his wife .", "output": "They also supported an all girls ' school in Saint - Briac - sur - Mer , Brittany , France .", "explanation": "Given a coherent sentence, a... | [{"input": "Instead , the stadium was opened a few years later .", "output": "There is no difference in the design standard of this section compared with the rest of the expressway .", "explanation": "Given a coherent sentence, an incoherent previous sentence to the given sentence is not generated with the same topic o... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task550 | https://huggingface.co/datasets/Lots-of-LoRAs/task550_discofuse_sentence_generation | discofuse sentence generation |
879 | task879_schema_guided_dstc8_classification | You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No. | [
"Dialogue Act Recognition"
] | [
"Dialogue"
] | [
"schema_guided_dstc8"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Subba Raja Kashyap Saligrama"
] | [{"input": "I am feeling hungry so I would like to find a place to eat.", "output": "No", "explanation": "The user is informing the intent, but not asking any question here"}, {"input": "Do you have a specific which you want the eating place to be located at?", "output": "Yes", "explanation": "The system is asking the ... | [{"input": "Is there some other restaurant which you can suggest?", "output": "No", "explanation": "The user is asking for other alternatives. So, its a question and output should be 1"}, {"input": "Can you please confirm that you want to book a table for 2 at 11:30 am at the Bird Dog restaurant in Palo Alto for today.... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task879 | https://huggingface.co/datasets/Lots-of-LoRAs/task879_schema_guided_dstc8_classification | schema guided dstc8 classification |
209 | task209_stancedetection_classification | Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral". | [
"Stance Detection"
] | [
"Debatepedia"
] | [
"starcon"
] | [
"Textual Entailment"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Topic: Three Gorges Dam\n Argument: The Three Gorges Dam is a cause of corruption.", "output": "against", "explanation": "Here, argument is against the given topic, three gorges dam. Hence, the answer is \"against\"."}, {"input": "Topic: Two-state solution to Israeli-Palestinian conflict\n Argument: Idea of... | [{"input": "Topic: Single-payer universal health care\n Argument: Whether health care is a right under i-law is inconsequential.", "output": "in favor", "explanation": "This is incorrect asnwer. Because there the argument is neither in favor nor against the topic. Therefore, the answer should be \"neutral\"."}, {"input... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task209 | https://huggingface.co/datasets/Lots-of-LoRAs/task209_stancedetection_classification | stancedetection classification |
403 | task403_creak_commonsense_inference | In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "Fal... | [
"Fact Verification"
] | [
"Wikipedia"
] | [
"creak_2018"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "A popular RCA Records artist who has many hit songs is Kesha.\nKesha is a musicians from Nashville, Tennessee", "output": "True", "explanation": "although the explanation doesn't prove the statement completely, it doesn't disprove it either."}, {"input": "Fax works without any internet connection.\nInternet... | [{"input": "The crack in the Liberty Bell sets it apart from other famous bells.\nThe Liberty Bell is famous for having a large crack in its side.", "output": "False", "explanation": "Only label an instance as \"False\" if the explanation disproves the statement. In this example, the explanation doesn't confirm the sta... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task403 | https://huggingface.co/datasets/Lots-of-LoRAs/task403_creak_commonsense_inference | creak commonsense inference |
927 | task927_yelp_negative_to_positive_style_transfer | You are given a negative review and your task is to convert it to a positive review by one or more making minimal changes. Avoid changing the context of the review. | [
"Style Transfer"
] | [
"Reviews"
] | [
"dualrl"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Tanay Dixit"
] | [{"input": "we stood there in shock , because we never expected this .", "output": "we loved every moment when we were there .", "explanation": "The output converts the given negative review to positive review by repharsing the sentence. It does not change the context of the input."}, {"input": "very bad viewing altern... | [{"input": "The charge did include miso soup and a small salad .", "output": "The salad was amazing", "explanation": "Though the output is positive , it changes the input text completely. As the task also involves to make minimal changes a better answer would be : the price included miso soup and a great salad."}, {"in... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task927 | https://huggingface.co/datasets/Lots-of-LoRAs/task927_yelp_negative_to_positive_style_transfer | yelp negative to positive style transfer |
1581 | task1581_eqasc-perturbed_answer_generation | Given a statement and question, generate the answer to the question such that the answer is contained in the statement. | [
"Question Answering"
] | [
"Natural Science -> School Science Textbooks"
] | [
"eqasc"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sudeep Nayak"
] | [{"input": "statement: Neurons deliver electrical impulses to other cells, question: What do neurons deliver to other cells?", "output": "Electrical impulses", "explanation": "The answer generated is correct with respect to the question and the statement"}, {"input": "statement: Two lenses to produce magnified images a... | [{"input": "statement: Two lenses to produce magnified images allow for detailed observation of stars., question: Two lenses to produce magnified images allow for what?", "output": "Barack Obama", "explanation": "The example is incorrect, as the answer generated is not related to the statement or question"}, {"input": ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1581 | https://huggingface.co/datasets/Lots-of-LoRAs/task1581_eqasc-perturbed_answer_generation | eqasc-perturbed answer generation |
192 | task192_hotpotqa_sentence_generation | 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. | [
"Explanation"
] | [
"Wikipedia"
] | [
"hotpotqa"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mihir Parmar"
] | [{"input": "North Willingham is a village and civil parish in the West Lindsey district of Lincolnshire, England. The population of the civil parish (including Sixhills) was 181 at the 2011 census. It is situated 3.5 mi east from the town of Market Rasen on the A631 road between Market Rasen and Louth. Question: Which ... | [{"input": "The Damned are an English rock band formed in London in 1976 by lead vocalist Dave Vanian, guitarist Brian James, bassist (and later guitarist) Captain Sensible, and drummer Rat Scabies. They were the first punk rock band from the United Kingdom to release a single, \"New Rose\" (1976), release an album, \"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task192 | https://huggingface.co/datasets/Lots-of-LoRAs/task192_hotpotqa_sentence_generation | hotpotqa sentence generation |
904 | task904_hate_speech_offensive_classification | 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. | [
"Toxic Language Detection"
] | [
"Social Media -> Twitter"
] | [
"hate_speech_offensive"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Megh Patel"
] | [{"input": "\"@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR\" This is why there's black people and niggers", "output": "Hate Speech", "explanation": "The writer mentions emotions like hating so it is clearly a hate speech."}, {"input": "\"bitch nigga miss me with it\"", "output": "Offensive", "... | [{"input": "\"@DomWorldPeace: Baseball season for the win. #Yankees\" This is where the love started", "output": "Offensive", "explanation": "There is no offensive language used here so this is not offensive."}, {"input": "\" fuck no that bitch dont even suck dick \" 😂😂😂 the Kermit videos bout t... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task904 | https://huggingface.co/datasets/Lots-of-LoRAs/task904_hate_speech_offensive_classification | hate speech offensive classification |
207 | task207_max_element_lists | In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Numerical Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[[5, 3], [2, 9, 8], [3, 3], [5, 2, 7, 1]]", "output": "[5, 9, 3, 7]", "explanation": "Input of this example is a list containing four inner lists. The maximum value of the first inner list is 5, the maximum value of the second list is 9, the maximum value of the third list is 3, and the maximum value of the... | [{"input": "[[5, 9, 9], [8, 9], [11, 2, 1, 4, 7], [4, 6, 4, 1]]", "output": "[11]", "explanation": "In this example, the input list contains four lists, and we should have a list of four integers in the output. Each number in the output list should indicate the maximum value of its corresponding list in the output. So ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task207 | https://huggingface.co/datasets/Lots-of-LoRAs/task207_max_element_lists | max element lists |
228 | task228_arc_answer_generation_easy | 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 ... | [
"Question Answering"
] | [
"School Science Textbooks"
] | [
"arc"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Which part of a bicycle BEST moves in a circle? \n (A) Seat (B) Frame (C) Foot pedal (D) Kickstand", "output": "C", "explanation": "Seat, frame and Kickstand are static parts of the bicycle, even when bicycle moves. Foot pedal moves in a circle as bicycle moves."}, {"input": "Which measurement represents th... | [{"input": "Which part of a bicycle BEST moves in a circle? \n (A) Seat (B) Frame (C) Foot pedal (D) Kickstand", "output": "Foot pedal", "explanation": "Output sould not be string in correct option, it can be one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": "Which measurement represents the mass of an o... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task228 | https://huggingface.co/datasets/Lots-of-LoRAs/task228_arc_answer_generation_easy | arc answer generation easy |
089 | task089_swap_words_verification | In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | [
"Grammar Error Detection"
] | [
"Image Caption"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Neeraj Varshney"
] | [{"input": "I a am professional dancer.", "output": "(2,3)", "explanation": "words 'a' and 'am' have been swapped. The correct sentence would be 'I am a professional dancer.'. Since the position of 'a' is 2 and 'am' is 3, the answer is (2,3)."}, {"input": "I want buy to tomatoes.", "output": "(3,4)", "explanation": "wo... | [{"input": "Physics is a difficult very subject.", "output": "(2,3)", "explanation": "words 'very' and 'difficult' have been swapped. The correct sentence would be 'Physics is a very difficult subject.' Since the position of 'difficult' is 4 and 'very' is 5, the answer should have been (4,5)."}, {"input": "A large with... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task089 | https://huggingface.co/datasets/Lots-of-LoRAs/task089_swap_words_verification | swap words verification |
393 | task393_plausible_result_generation | In this task, you will be given a sentence, followed by ", so". You should complete the given text with another sentence, such that the whole text is plausible. The sentence you enter must be a likely result of the given sentence. | [
"Cause Effect Classification"
] | [
"Commonsense"
] | [
"cod3s"
] | [
"Causal Reasoning",
"Textual Entailment"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "The woman went to the bank, so ", "output": "she will be out with some cash on her", "explanation": "The answer is a likely result of the sentence in the question."}, {"input": "They government banned abortions, so ", "output": "many unwanted children will be born", "explanation": "The answer is a likely re... | [{"input": "The woman went to the bank, so ", "output": "she talked to the man.", "explanation": "This sentence is not a likely result of the question, so it's not a good completion."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task393 | https://huggingface.co/datasets/Lots-of-LoRAs/task393_plausible_result_generation | plausible result generation |
163 | task163_count_words_ending_with_letter | 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. | [
"Program Execution"
] | [
"Captions -> Image Captions"
] | [
"synthetic"
] | [
"Numerical Reasoning",
"Mathematics -> Counting"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Neeraj Varshney"
] | [{"input": "Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence.", "output": "2", "explanation": "The words 'street', and 'light' end with the letter 't'. So, the answer is 2."}, {"input": "Sentence: 'the bride and groom are smiling as they pose together'. How many ... | [{"input": "Sentence: 'some people some wooden barrels and they have glasses of wine'. How many words end with the letter 'd' in the sentence.", "output": "2", "explanation": "The only word that ends with the letter 'd' is 'and'. So, the answer should have been 1 and not 2."}, {"input": "Sentence: 'framed photo of two ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task163 | https://huggingface.co/datasets/Lots-of-LoRAs/task163_count_words_ending_with_letter | count words ending with letter |
178 | task178_quartz_question_answering | 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 Answering"
] | [
"Natural Science"
] | [
"quartz"
] | [
"Relational Reasoning",
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Question: The government of Canada is considering implementing less carbon taxes across the country. If these taxes were implemented, the amount of carbon dioxide emissions in the country would be expected to \n Option1: fall \n Option2: rise \n Explanation: The carbon taxes encourage people to use less fos... | [{"input": "Question: The government of Canada is considering implementing less carbon taxes across the country. If these taxes were implemented, the amount of carbon dioxide emissions in the country would be expected to \n Option1: fall \n Option2: rise \n Explanation: The carbon taxes encourage people to use less fos... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task178 | https://huggingface.co/datasets/Lots-of-LoRAs/task178_quartz_question_answering | quartz question answering |
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