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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1487 | task1487_organism_substance_extraction_anem_dataset | In this task, you are given a sentence. You are expected to write the name of the organism substances in the body mentioned in the input. Although there might be several correct answers, you need to write one of them. | [
"Named Entity Recognition"
] | [
"Biology -> Clinical Knowledge"
] | [
"anem"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "Antisperm antibodies were assessed in the serum samples of 73 men unable to ejaculate naturally and on the sperm cells of 13 of these men.", "output": "serum", "explanation": "Serum is a substance of the organism and needs to be tagged."}, {"input": "This also applies , although to a much lesser degree , to... | [{"input": "This also applies , although to a much lesser degree , to conventional blood culture analysis ", "output": "conventional blood culture analysis", "explanation": "Blood culture analysis is nowhere related to organism substance and hence the entire mention should not be tagged."}, {"input": "Plasma carries wa... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1487 | https://huggingface.co/datasets/Lots-of-LoRAs/task1487_organism_substance_extraction_anem_dataset | organism substance extraction anem dataset |
1607 | task1607_ethos_text_classification | You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'. | [
"Toxic Language Detection"
] | [
"Social Media"
] | [
"ethos"
] | [
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Srija Macherla"
] | [{"input": "Religions have stupid theories about God and shits.", "output": "religious hate", "explanation": "The above text talks negatively about religions and opinion of a person who does not believe in religion, hence serves as a good example for the task."}, {"input": "What a disgusting face you have!", "output": ... | [{"input": "Idiots as always. Religion is the most useless thing you humans invented.", "output": "not religious hate", "explanation": "This is a bad example as the text displays religious hatred yet classified 0 which means it is not."}, {"input": "all kinds of mental illnesses are awful", "output": "religious hate", ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1607 | https://huggingface.co/datasets/Lots-of-LoRAs/task1607_ethos_text_classification | ethos text classification |
022 | task022_cosmosqa_passage_inappropriate_binary | Read the given context and if the the context is inappropriate (e.g., pornographic) or nonsensical (e.g., cannot determine what happenings the context is about), indicate via "yes". Otherwise, response via "no". | [
"Toxic Language Detection"
] | [
"Personal Narratives"
] | [
"cosmosqa"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Swaroop Mishra",
"Daniel Khashabi"
] | [{"input": "Context: Robin woke to the feel of the bed dipping done , then the very familiar feel of Patrick 's long hard body spooning behind her , his hand cradling her swollen belly . \" What are you doing here ? \" she asked groggily . Not 6 hours ago she had turned down his marriage proposal in front of the whole ... | [{"input": "Context: I was told , in person over the phone , that my shoes were on their way. They have my money. I have no shoes.", "output": "No.", "explanation": "Nothing is inappropriate in the context and it provides multiple basis to create questions."}, {"input": "Context: GPS technology dates back to the time w... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task022 | https://huggingface.co/datasets/Lots-of-LoRAs/task022_cosmosqa_passage_inappropriate_binary | cosmosqa passage inappropriate binary |
278 | task278_stereoset_sentence_generation_antistereotype | In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural anti-stereotype. Anti-stereotype is an idea that goes against a common belief about a particular group of people. Your answer must not contain more than one word... | [
"Fill in The Blank"
] | [
"Stereotypes"
] | [
"stereoset"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Context: The African man was _.", "output": "educated", "explanation": "This is a valid anti-stereotype because it is known that education is less developed in Africa."}, {"input": "Context: I can't believe that my mommy is so _.", "output": "violent", "explanation": "This is a valid anti-stereotype because... | [{"input": "Context: Ethiopia is known for being _.", "output": "less-developed", "explanation": "This is not a valid anti-stereotype because it aggrees with the standardized image of Ethiopia being under-developed."}, {"input": "Context: Everyone in Spain speaks _.", "output": "Spanish", "explanation": "This is not a ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task278 | https://huggingface.co/datasets/Lots-of-LoRAs/task278_stereoset_sentence_generation_antistereotype | stereoset sentence generation antistereotype |
280 | task280_stereoset_classification_stereotype_type | In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of ... | [
"Text Categorization"
] | [
"Stereotypes"
] | [
"stereoset"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Passage: Many people live in Ethiopia. The people are very thin and good at distance running.", "output": "Race", "explanation": "The second sentence \"The people are very thin and good at distance running.\" is a racial stereotype of the Ethiopian people. It represents a standardized mental picture of the ... | [{"input": "Passage: The prisoner was kind.", "output": "Prisoner", "explanation": "Instead of answering the specific target, we ask you to identify the type of stereotype or anti-stereotype from gender, profession, race, and religion."}, {"input": "Passage: The african man is usually black", "output": "Gender.", "expl... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task280 | https://huggingface.co/datasets/Lots-of-LoRAs/task280_stereoset_classification_stereotype_type | stereoset classification stereotype type |
679 | task679_hope_edi_english_text_classification | Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion | [
"Text Categorization"
] | [
"Social Media"
] | [
"hope_edi"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sai Surya Kaushik, Punyamurthula"
] | [{"input": "you have encouraged me thank you for sharing", "output": "Hope Speech", "explanation": "The given text contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion and is in expected language"}, {"input": "There is justice for the natives the governm... | [{"input": "Madonna looks like she has extra sensory abilities", "output": "Hope Speech", "explanation": "The given text does not contain content that is neither encouraging, positive and supportive contents nor talks about equality, diversity and inclusion although it is in expected language. So it is wrongly classifi... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task679 | https://huggingface.co/datasets/Lots-of-LoRAs/task679_hope_edi_english_text_classification | hope edi english text classification |
456 | task456_matres_intention_classification | You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or part of a condition).... | [
"Information Extraction"
] | [
"News"
] | [
"matres"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "It was followed by Denmark, Norway, Germany, France, Greece, Luxembourg, Spain, Britain, the United States, Iceland, Belgium, Italy, Portugal and Turkey. NATO decided at last year's Madrid summit to (invite) the three eastern European countries to start accession talks. \n Verb: invite", "output": "Yes", "... | [{"input": "The Justice Department wants the appeals court to suspend the temporary injunction issued Thursday and also order Elian's great-uncle, Lazaro Gonzalez, to release the boy. The relatives want the court to let them meet with Elian's father without being (required) to surrender the boy. \n Verb: required", "o... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task456 | https://huggingface.co/datasets/Lots-of-LoRAs/task456_matres_intention_classification | matres intention classification |
1431 | task1431_head_qa_answer_generation | In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'. | [
"Question Answering"
] | [
"Healthcare"
] | [
"head_qa"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Shreeshiv Patel"
] | [{"input": "Question: A 13-year-old girl is operated on due to Hirschsprung illness at 3 months of age. Which of the following tumors is more likely to be present? \n Options: <1> Abdominal neuroblastoma <2> Wilms tumor <3> Mesoblastic nephroma <4> Familial thyroid medullary carcinoma.", "output": "2", "explanation": "... | [{"input": "Question: One of the characteristics of the Nursing Process is: \n Options: <1> Decision making is characteristic of the planning stage. <2> It focuses on the nurse. <3> The data of each phase provide information for the next. <4> Decision making must be linked to standard response. <5> It must be designed... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1431 | https://huggingface.co/datasets/Lots-of-LoRAs/task1431_head_qa_answer_generation | head qa answer generation |
1551 | task1551_every_ith_element_from_kth_element | In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Reasoning on Strings",
"Mathematics -> Counting"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "2, 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']", "output": "34, 7, 762", "explanation": "Here, starting from 2nd element every 3rd element from the list are '34', '7', and '762'."}, {"input": "3, 6, ['5191', '9389', '9907', '8877', 'N', '6453', 's', 'k', '6209', 'W', '4591', 'B', 'p']", "output"... | [{"input": "5, 2, ['7475', 'B', '2459', 'm', '8349', 'O', 'q', 'Y', 'f']", "output": "7475, 2459, 8349, q, f", "explanation": "Here, the answer should have been '8349, q, f' as every 2nd element of the list starting from 5th element are '8349', 'q', and 'f'."}, {"input": "2, 3, ['75', '54', 'J', 'L', '2332', 'Z', 'e', ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1551 | https://huggingface.co/datasets/Lots-of-LoRAs/task1551_every_ith_element_from_kth_element | every ith element from kth element |
137 | task137_detoxifying-lms_classification_toxicity | Given a prompt and two completions from a language model, select the completion that is the least toxic with respect to continuing the prompt. Toxicity is defined as a rude, disrespectful, or unreasonable statement that is likely to make you leave a discussion. Generate either Completion A or Completion B. | [
"Toxic Language Detection"
] | [
"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-task137 | https://huggingface.co/datasets/Lots-of-LoRAs/task137_detoxifying-lms_classification_toxicity | detoxifying-lms classification toxicity |
190 | task190_snli_classification | In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively. | [
"Textual Entailment"
] | [
"Captions -> Image Captions"
] | [
"snli"
] | [
"Textual Entailment"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Anjana Arunkumar"
] | [{"input": "Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.", "output": "N", "explanation": "Tom's reason for buying the fruit is not known."}, {"input": "Sentence 1: The girl transferred all the flowers from the boquet to ... | [{"input": "Sentence 1: There was an earthquake in San Fransisco. Sentence 2: The earthquake caused a lot of road damage.", "output": "E", "explanation": "The earthquake might not have been severe enough to cause raod damage, so the answer should be N."}, {"input": "Sentence 1: Anna went to the school picnic. Sentence ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task190 | https://huggingface.co/datasets/Lots-of-LoRAs/task190_snli_classification | snli classification |
385 | task385_socialiqa_incorrect_answer_generation | In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output. | [
"Question Answering"
] | [
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"social_iqa"
] | [
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "Context: Tracy didn't go home that evening and resisted Riley's attacks. \n Question: What does Tracy need to do before this? \n Options: (A) make a new plan (B) Go home and see Riley (C) Find somewhere to go", "output": "B", "explanation": "Tracy finds somewhere to go and didn't come home because she has t... | [{"input": "Context: Tracy's kids wanted ice cream so Aubrey fed the kids ice cream. \n Question: What does Aubrey need to do before this? \n Options: (A) tell her kids to say thank you (B) get ice cream (C) thanks Tracy", "output": "get ice cream", "explanation": "It is supposed to only return the options which had a... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task385 | https://huggingface.co/datasets/Lots-of-LoRAs/task385_socialiqa_incorrect_answer_generation | socialiqa incorrect answer generation |
513 | task513_argument_stance_classification | You will be given a topic and an argument. Decide the argument's stance towards that topic. The argument's stance is in favor or against the topic. If the argument supports that topic, answer with "in favor"; otherwise, if the argument opposes the topic, answer with "against". | [
"Stance Detection"
] | [
"Debatepedia"
] | [
"starcon"
] | [
"Argument Reasoning",
"Textual Entailment -> Deductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "topic: Nuclear energy\nargument: Nuclear energy can reduce materials available for weapons-use.", "output": "in favor", "explanation": "The given argument is in favor of nuclear energy."}, {"input": "topic: Smartphones in School\nargument:Smartphones often distract students from class.", "output": "against"... | [{"input": "topic: Kyoto Protocol\nargument: It is unimportant for the US to join Kyoto now", "output": "in favor", "explanation": "The word uninmportant clearly shows that this argument is against Kyoto Protocol."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task513 | https://huggingface.co/datasets/Lots-of-LoRAs/task513_argument_stance_classification | argument stance classification |
391 | task391_causal_relationship | In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible". | [
"Cause Effect Classification"
] | [
"Commonsense"
] | [
"cod3s"
] | [
"Causal Reasoning",
"Textual Entailment"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "The woman went to the bank, so pigs can fly.", "output": "not plausible", "explanation": "Clearly, there can't be a causation relationship between someone going to the bank and pigs flying."}, {"input": "The women went to the bank, so now she has money on hand.", "output": "plausible", "explanation": "The s... | [{"input": "The woman went to the bank, so she waited in a line.", "output": "not plausible", "explanation": "Although waiting in a line doesn't always come as a result of going to a bank, this is a plausible sentence."}, {"input": "The physician misdiagnosed the patient, so he went to the vet", "output": "plausible", ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task391 | https://huggingface.co/datasets/Lots-of-LoRAs/task391_causal_relationship | causal relationship |
583 | task583_udeps_eng_coarse_pos_tagging | In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ'... | [
"Pos Tagging"
] | [
"News"
] | [
"universal_dependencies___english_dependency_treebank"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Siddhartha Mishra"
] | [{"input": "Sentence: An editorial in the church - owned Deseret Morning News in Salt Lake City earlier this year acknowledged that \" the state 's history , a {{ conservative }} belief in free choice , and an unwillingness to stir up a hornet 's nest in the national media have likely all contributed to the kid - glove... | [{"input": "Sentence: If you feel this guy is {{ worth }} it then I hope your vet can figure things out . \nWord: worth", "output": "PUNCT", "explanation": "\"worth\" is not a Punctation (PUNCT) since it is not a non-alphabetic character used for delimiting units."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task583 | https://huggingface.co/datasets/Lots-of-LoRAs/task583_udeps_eng_coarse_pos_tagging | udeps eng coarse pos tagging |
1194 | task1194_kth_largest_element | In this task, you are given a list of integers and an integer k. You need to find the kth largest element in the input list. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Reasoning on Numbers"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "[128, 277, 83, 280, 193, 19, 111, 154, 41, 292, 29, 53, 232, 153, 131, 151, 121, 262, 270, 132], k=15", "output": "111", "explanation": "111 is the 15th largest element in the list."}, {"input": "[126, 44, 101, 199, 228, 169, 85, 286, 167, 207, 175, 259, 141, 27, 35, 153, 185, 21, 198, 188], k=4", "output":... | [{"input": "[208, 241, 91, 76, 220, 137, 111, 190, 232, 155, 27, 258, 45, 112, 13, 289, 23, 239, 177, 227], k=8", "output": "241", "explanation": "241 is not the 8th largest element in the list."}, {"input": "[240, 22, 137, 62, 14, 121, 102, 294, 299, 15, 269, 205, 26, 17, 212, 272, 65, 189, 200, 261], k=4", "output": ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1194 | https://huggingface.co/datasets/Lots-of-LoRAs/task1194_kth_largest_element | kth largest element |
627 | task627_xlwic_word_with_same_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 with the same meaning as in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you should not respond with a sentence which uses 'fly' as the verb. You may us... | [
"Sentence Composition"
] | [
"Miscellaneous"
] | [
"xl_wic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ananth Duggirala"
] | [{"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."}, {"input": "airplane \n Sentence: The passengers ... | [{"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 the input and output sentences. In the input sentence, it refers to a measuring stick, but in the output se... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task627 | https://huggingface.co/datasets/Lots-of-LoRAs/task627_xlwic_word_with_same_meaning_sentence_generation | xlwic word with same meaning sentence generation |
1448 | task1448_disease_entity_extraction_ncbi_dataset | In this task, you will be given a sentence. You need to reconize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct result of physical injury. Alth... | [
"Named Entity Recognition"
] | [
"Biology -> Clinical Knowledge",
"Healthcare"
] | [
"ncbi_disease_corpus"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "I had been suffering from cardiovascular disorder.", "output": "cardiovascular disorder", "explanation": "Here, the person mentions this disorder which is related to heart issues."}, {"input": "Acne is the most common skin condition in the United States, affecting up to 50 million Americans annually.", "out... | [{"input": "I had been suffering from cardiovascular disorder", "output": "disorder", "explanation": "This is an incomplete disease mention, as it does not clearly mention the actual type of disorder."}, {"input": "A 44-year-old man taking naproxen for chronic low back pain and a 20-year-old woman on oxaprozin for rheu... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1448 | https://huggingface.co/datasets/Lots-of-LoRAs/task1448_disease_entity_extraction_ncbi_dataset | disease entity extraction ncbi dataset |
210 | task210_logic2text_structured_text_generation | In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that defin... | [
"Text to Code"
] | [
"Wikipedia",
"Logic -> Propositional Logic"
] | [
"logic2text"
] | [
"Logical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mihir Parmar"
] | [{"input": "select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.", "output": "eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }", "explanation": "Here, the generated command using logical opera... | [{"input": "select the row whose total record of all rows is 3rd maximum . the club record of this row is maidstone united .", "output": "eq { hop { nth_argmax { all_rows ; total ; 3 } } ; maidstone united }", "explanation": "Given natural language interpretation and generated command are miss matched. We need to choos... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task210 | https://huggingface.co/datasets/Lots-of-LoRAs/task210_logic2text_structured_text_generation | logic2text structured text generation |
1378 | task1378_quarel_correct_answer_generation | You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question. | [
"Question Answering"
] | [
"Story",
"Commonsense -> Concepts and Relations"
] | [
"quarel"
] | [
"Relational Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Hsiao, Sheng-Hung"
] | [{"input": "Sentence: Jacob and Benny are squatting at the gym. Jacob has thin frail legs and Benny has big strong legs. Question: Who squats less weight? (A) Jacob (B) Benny", "output": "Jacob", "explanation": "Typically, people with thin frail legs squat less weight than people with big strong legs, so the answer is ... | [{"input": "Sentence: Suppose your neighbor John is playing music and your friend Nikos at the end of the street is also playing music. Question: Who's music will appear to be louder? (A) John (B) Nikos", "output": "Nikos", "explanation": "Typically, the closer you are to the source of the sound, the louder the sound i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1378 | https://huggingface.co/datasets/Lots-of-LoRAs/task1378_quarel_correct_answer_generation | quarel correct answer generation |
769 | task769_qed_summarization | Given a text passage, come up with an appropriate title for it. The title should accurately represent what the main focus of the passage is. The title of a passage may be present in the first few sentences of the passage and/or be referred to multiple times in the passage. The title should be 1-5 words long. | [
"Title Generation"
] | [
"Wikipedia"
] | [
"qed"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ritvik Gaur"
] | [{"input": "The Beatles ' rooftop concert was the final public performance of the English rock band the Beatles . On 30 January 1969 , the band , with keyboardist Billy Preston , surprised a central London office and fashion district with an impromptu concert from the roof of the headquarters of the band 's multimedia ... | [{"input": "It 's Always Sunny in Philadelphia is an American television sitcom that premiered on FX on August 4 , 2005 . It moved to FXX beginning with the ninth season and has remained there since . It was created by Rob McElhenney who developed it with Glenn Howerton . It is executive produced and primarily written ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task769 | https://huggingface.co/datasets/Lots-of-LoRAs/task769_qed_summarization | qed summarization |
039 | task039_qasc_find_overlapping_words | Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words. | [
"Overlap Extraction"
] | [
"Natural Science"
] | [
"qasc"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Swaroop Mishra",
"Daniel Khashabi"
] | [{"input": "Sentence1: pesticides cause pollution. \nSentence2: pollution can harm animals.", "output": "pollution.", "explanation": "The word \"pollution\" is common to Sentence1 and Sentence2. So, it's a good answer."}, {"input": "Sentence1: a solar panel converts sunlight into electricity. \nSentence2: sunlight come... | [{"input": "Sentence1: soil is formed by rocks eroding. \nSentence2: rain can help form soil.", "output": "soil, form, formed.", "explanation": "Here Sentence1 contains \"formed\" and Sentence2 contains \"form\". As per the given instructions, they should be treated as the same because of their same base form. A good a... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task039 | https://huggingface.co/datasets/Lots-of-LoRAs/task039_qasc_find_overlapping_words | qasc find overlapping words |
442 | task442_com_qa_paraphrase_question_generation | Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question. | [
"Question Rewriting"
] | [
"Web"
] | [
"com_qa"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arut Selvan Dhanasekaran"
] | [{"input": "Question: what places in Africa do people speak french?", "output": "where in africa do people speak french?", "explanation": "The generated question means the same as the input question and the answer is the same, so this is a good answer."}, {"input": "Question: Hitler became chancellor of Germany in what... | [{"input": "Question: How long is the Nile river?", "output": "Is Nile the longest river?", "explanation": "The question created changes the meaning of the input question and the answer is not the same for the questions. This is not a good answer."}, {"input": "Question: Who is the first football player to win seven ba... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task442 | https://huggingface.co/datasets/Lots-of-LoRAs/task442_com_qa_paraphrase_question_generation | com qa paraphrase question generation |
875 | task875_emotion_classification | In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'. | [
"Sentiment Analysis"
] | [
"Narrative"
] | [
"emotion"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Archan Lagoo"
] | [{"input": "i am ever feeling nostalgic about the fireplace i will know that it is still on the property", "output": "love", "explanation": "The word \"nostalgic\" could either indicate \"love\" or \"sadness\", but the fact that it is still on the property eliminates \"love\"."}, {"input": "i am feeling grouchy", "outp... | [{"input": "i feel romantic too", "output": "joy", "explanation": "This statement clearly indicates joy, but the joy particularly relates to romance. So, the correct label must be \"love\" instead."}, {"input": "i feel like i have to make the suffering i m seeing mean something", "output": "love", "explanation": "Since... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task875 | https://huggingface.co/datasets/Lots-of-LoRAs/task875_emotion_classification | emotion classification |
1529 | task1529_scitail1.1_classification | You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your... | [
"Textual Entailment"
] | [
"Natural Science"
] | [
"scitailv1.1"
] | [
"Textual Entailment"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Krishna Sriharsha Gundu"
] | [{"input": "Premise: Lyme Disease is caused by a bacterium that's transmitted by tick bite, but many infected people don't remember a bite. \n Hypothesis: Lyme disease is caused by bacteria.", "output": "entails", "explanation": "The premise sentence agrees with the hypothesis that Lyme Disease is a bacterium. The prem... | [{"input": "Premise: A polyploid is simply an organism that contains more than the usual two sets of chromosomes. \n Hypothesis: A(n) polyploid is an individual with more than the correct number of chromosome sets.", "output": "neutral", "explanation": "The premise explains the meaning of the term and the hypothesis s... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1529 | https://huggingface.co/datasets/Lots-of-LoRAs/task1529_scitail1.1_classification | scitail1.1 classification |
699 | task699_mmmlu_answer_generation_high_school_biology | You are given a question on high school biology. 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"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "In a population of giraffes, an environmental change occurs that favors individuals that are tallest. As a result, more of the taller individuals are able to obtain nutrients and survive to pass along their genetic information. This is an example of\n(A)directional selection. (B)stabilizing selection. (C)se... | [{"input": "In a population of giraffes, an environmental change occurs that favors individuals that are tallest. As a result, more of the taller individuals are able to obtain nutrients and survive to pass along their genetic information. This is an example of\n(A)directional selection. (B)stabilizing selection. (C)se... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task699 | https://huggingface.co/datasets/Lots-of-LoRAs/task699_mmmlu_answer_generation_high_school_biology | mmmlu answer generation high school biology |
270 | task270_csrg_counterfactual_context_generation | Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide... | [
"Story Composition"
] | [
"Story"
] | [
"timetravel"
] | [
"Commonsense Reasoning",
"Counterfactual Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Premise: Brad stole the ball from the opponent. \n Initial Context: While he was running with the ball, he noticed his friend. \n Original Ending: He threw the ball in the air, near the hoop. His friend grabbed the ball and made a drunk. That score put his team in the lead. \n New ending: He stopped dancing... | [{"input": "Premise: Stephanie went to Six Flags for the first time. \n Initial Context: She had never been on a roller coaster before. \n Original Ending: Her friend told her she would ride with her to encourage her. They got on the roller coaster and waited for it to start. When it began, the girls screamed, laughed,... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task270 | https://huggingface.co/datasets/Lots-of-LoRAs/task270_csrg_counterfactual_context_generation | csrg counterfactual context generation |
1391 | task1391_winogrande_easy_answer_generation | In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B". | [
"Coreference Resolution"
] | [
"Commonsense -> Concepts and Relations -> Social Commonsense",
"Commonsense -> Concepts and Relations -> Physical Commonsense"
] | [
"winogrande"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine", "output": "B", "explanation": "Since the blank is someone who received the gift and already had a stuffed animal, the answer must be \"Christine\"."}, {"input": "Jessy decided to clean the flo... | [{"input": "Ian got into position and punched Lawrence so hard that his mouthpiece flew right out because _ was a quick fighter. (A) Ian (B) Lawrence", "output": "C", "explanation": "The issue is that the answer is not one of the options presented in the question which are \"A\" and \"B\". Note that, a valid answer mus... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1391 | https://huggingface.co/datasets/Lots-of-LoRAs/task1391_winogrande_easy_answer_generation | winogrande easy answer generation |
1572 | task1572_samsum_summary | In this task, you are given a conversation, and your task is to generate a summary from the information present in the given conversation. Generate a summary in such a way that the context should be present in the conversation. It should cover the complete context of the conversation. | [
"Summarization"
] | [
"Dialogue",
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"samsum"
] | [
"Commonsense Reasoning -> Social Situations",
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amrit Bhaskar"
] | [{"input": " Lucas: Hey! How was your day?, Demi: Hey there! , Demi: It was pretty fine, actually, thank you!, Demi: I just got promoted! :D, Lucas: Whoa! Great news!, Lucas: Congratulations!, Lucas: Such a success has to be celebrated., Demi: I agree! :D, Demi: Tonight at Death & Co.?, Lucas: Sure!, Lucas: See you the... | [{"input": " Laura: ok , I'm done for today-), Laura: let me know once u're free and we come back home together, Kim: hmm.. 7?, Laura: ok, Kim: cool, wait for me at work, I'll call once I get here ", "output": "Laura will pick up Kim from work around 7, and they will go restaurant together.", "explanation": "This is an... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1572 | https://huggingface.co/datasets/Lots-of-LoRAs/task1572_samsum_summary | samsum summary |
1598 | task1598_nyc_long_text_generation | The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided. | [
"Data to Text"
] | [
"Public Places -> Restaurants",
"Reviews -> Restaurants"
] | [
"nyc"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Abdullah Masud"
] | [{"input": "name[xname], cuisine[Fast Food], rating[average], familyFriendly[yes], near[xnear]", "output": "Located near xnear, xname serves Fast food and is child friendly. its customer rating is: average.", "explanation": "This is a good example of the task because the written sentence uses all of the given informati... | [{"input": "name[xname], recommend[yes], decor[good], qual[acceptable], service[good]", "output": "xname is a restaurant with poor service but acceptable food and good decor.", "explanation": "This is a bad example because the sentence does not match the given information (service is poor instead of good.) Also it is m... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1598 | https://huggingface.co/datasets/Lots-of-LoRAs/task1598_nyc_long_text_generation | nyc long text generation |
515 | task515_senteval_odd_word_out | In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | [
"Linguistic Probing"
] | [
"Narrative",
"Commonsense -> Concepts and Relations"
] | [
"senteval"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "Gideon brought his phone to his ear and resonated with Bev at HQ .", "output": "Changed", "explanation": "\"resonated\" doesn't fit in this sentence."}, {"input": "The frankness of her question startled him for a minute , but this was Nikki , and he really shouldn 't have been surprised .", "output": "Origi... | [{"input": "She started to prolong the basket , and I sat down across from her , folding my knees to my chest .", "output": "Original", "explanation": "The word \"prolong\" doesn't fit in this sentence so the output should be Changed."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task515 | https://huggingface.co/datasets/Lots-of-LoRAs/task515_senteval_odd_word_out | senteval odd word out |
620 | task620_ohsumed_medical_subject_headings_answer_generation | Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it. | [
"Keyword Tagging"
] | [
"Scientific Research Papers"
] | [
"ohsumed"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Saicharan Papani"
] | [{"input": "Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation - trained ambulance technicians(EMT - Ds) will refibrillate before hospital arrival.The authors analyzed 271 cases of ventricular fibrillation managed by EMT - Ds working without paramedic back - up.Of 111... | [{"input": "Abstract: Our results suggest that ethylene oxide retention after sterilization is increased in cuprammonium cellulose plate dialyzers containing potting compound. In contrast, cuprammonium cellulose plate dialyzers without potting compound were characterized by a rapid disappearance of retained ethylene ox... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task620 | https://huggingface.co/datasets/Lots-of-LoRAs/task620_ohsumed_medical_subject_headings_answer_generation | ohsumed medical subject headings answer generation |
629 | task629_dbpedia_14_classification | In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Fil... | [
"Text Categorization"
] | [
"Wikipedia"
] | [
"dbpedia_14"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Divya Reddy Katpally"
] | [{"input": "Text: Abbott of Farnham E D Abbott Limited was a British coachbuilding business based in Farnham Surrey trading under that name from 1929. A major part of their output was under sub-contract to motor vehicle manufacturers. Their business closed in 1972.", "output": "1", "explanation": "Here, the given text ... | [{"input": "Text: T\u221a\u00a9o Kardum (born 24 July 1986 in Split) is a Croatian association footballer who is currently playing for NK Dugopolje in the Druga HNL.", "output": "3", "explanation": "Here, the given text is about a Croatian footballer. Hence, the correct answer is \"4\"."}, {"input": "Text: The Fokker F... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task629 | https://huggingface.co/datasets/Lots-of-LoRAs/task629_dbpedia_14_classification | dbpedia 14 classification |
723 | task723_mmmlu_answer_generation_moral_disputes | You are given a question on moral disputes. 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"
] | [
"Moral Scenarios"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Ethics"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": " Just war theory's principle of military necessity belongs to\n(A)jus in bello. (B)jus ad bellum. (C)moral nihilism. (D)all of the above", "output": "A", "explanation": "Just war theory's principle of military necessity belongs to jus in bello"}, {"input": " According to Mill, censoring speech that is possi... | [{"input": " Just war theory's principle of military necessity belongs to\n(A)jus in bello. (B)jus ad bellum. (C)moral nihilism. (D)all of the above", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": " According to Mill, ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task723 | https://huggingface.co/datasets/Lots-of-LoRAs/task723_mmmlu_answer_generation_moral_disputes | mmmlu answer generation moral disputes |
1204 | task1204_atomic_classification_hinderedby | 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 -> Social Commonsense"
] | [
"atomic"
] | [
"Relational Reasoning",
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Head: PersonX touches a nerve<sep>Tail: PersonX is too nice", "output": "Yes", "explanation": "This is a good example. The Tail can hinder the Head."}, {"input": "Head: PersonX attends school<sep>Tail: To be a student", "output": "No", "explanation": "In this example, The Head can't be hindered by the Tail.... | [{"input": "Head: PersonX asks if PersonY was okay<sep>Tail: to thank PersonX", "output": "Yes", "explanation": "In this example, The Head can't be hindered by the Tail. So the output should be \"No\"."}, {"input": "Head: PersonX clenches PersonY's jaw<sep>Tail: PersonY is out of reach.", "output": "No", "explanation":... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1204 | https://huggingface.co/datasets/Lots-of-LoRAs/task1204_atomic_classification_hinderedby | atomic classification hinderedby |
1152 | task1152_bard_analogical_reasoning_causation | Two analogies that relate actions with their consequences are given in the form "A : B. C : ?". The phrase "A : B" relates action A to consequence B. Your task is to replace the question mark (?) with the appropriate consquence of the given action C, following the "A : B" relation. Your answer should be a single verb, ... | [
"Word Analogy"
] | [
"Commonsense"
] | [
"bard"
] | [
"Relational Reasoning",
"Commonsense Reasoning",
"Analogical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arjun Ashok"
] | [{"input": "throw : fly. aspire : ?", "output": "attain", "explanation": "Fly is a causation of throw. Hence, the inferred analogy being causation, attain is the causation of aspire."}, {"input": "listen : hear. drop : ?", "output": "fall", "explanation": "Hear is a causation of listen. Hence, the inferred analogy bein... | [{"input": "cut : bleed. crush : ?", "output": "throw", "explanation": "Bleed in a causation of cut. Hence, the analogy given is causation. But, throw is not a causation of crush."}, {"input": "nourish : grow. listen : ?", "output": "break", "explanation": "Grow is a causation of nourish. Hence, the analogy given is ca... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1152 | https://huggingface.co/datasets/Lots-of-LoRAs/task1152_bard_analogical_reasoning_causation | bard analogical reasoning causation |
1342 | task1342_amazon_us_reviews_title | Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words. | [
"Title Generation"
] | [
"Reviews"
] | [
"amazon_us_reviews"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Vinayak Kothari"
] | [{"input": "I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the look is very good. I am quite happy with this purchase. It fit my MacBook Pro perfectly, with a little bit of room to spare.", "output": "Pleasantly surp... | [{"input": "I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the look is very good. I am quite happy with this purchase. It fit my MacBook Pro perfectly, with a little bit of room to spare.", "output": "One Star", "exp... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1342 | https://huggingface.co/datasets/Lots-of-LoRAs/task1342_amazon_us_reviews_title | amazon us reviews title |
1534 | task1534_daily_dialog_question_classification | You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'. | [
"Dialogue Act Recognition"
] | [
"Dialogue"
] | [
"dailydialog"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Krishna Sriharsha Gundu"
] | [{"input": "Person1: Passport , please , madam . \n Person2: Just a minute , please . It's in my bag . Here it is . \n Person1: Thank you . Please fill out the Baggage Declaration Form . \n Person2: All right . Shall I enter all my belongings ? \n Person1: No , only the articles listed on the Declaration . ... | [{"input": "Person1: Can I borrow five bucks ? \n Person2: No ! \n Person1: Come on ! I'll pay you back on Tuesday . \n Person2: Last time I lent you money , you never paid me back . \n Person1: I promise if you lend me five dollars today , I will repay you in full next week . \n Person2: Ok , but I'm tak... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1534 | https://huggingface.co/datasets/Lots-of-LoRAs/task1534_daily_dialog_question_classification | daily dialog question classification |
1722 | task1722_civil_comments_threat_classification | Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No. | [
"Toxic Language Detection"
] | [
"Dialogue",
"Social Media"
] | [
"civil_comments"
] | [
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Himanshu Asati"
] | [{"input": "Baloney. You are going to see real action against Herr Trump and his white supremacist agenda.", "output": "Yes", "explanation": "The comment suggests threat against Trump and his agendas and classified as threatening. Hence, it is a positive example"}, {"input": "Perfect analysis and statements.", "output... | [{"input": "Yet call out all Muslims for the acts of a few will get you pilloried. So why is it okay to smear an entire religion over these few idiots? Or is this because it's okay to bash Christian sects?", "output": "Yes", "explanation": "The comment is genuine argument with no particular threat to Muslims or Christi... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1722 | https://huggingface.co/datasets/Lots-of-LoRAs/task1722_civil_comments_threat_classification | civil comments threat classification |
084 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number. | [
"Question Answering"
] | [
"Commonsense -> Concepts and Relations -> Spatial Commonsense"
] | [
"babi"
] | [
"Commonsense Reasoning -> Physical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Shailaja Keyur Sampat"
] | [{"input": "Passage: Fact 1- Mary moved to the bathroom. Fact 2- John went to the hallway. Question: Where is Mary? Answer: bathroom", "output": "Fact 1", "explanation": "Fact 1- 'Mary moved to the bathroom.' is a supporting fact from which we can conclude that Mary is in bathroom therefore the output is- Fact 1."}, {"... | [{"input": "Passage: Fact 1- Mary moved to the bathroom. Fact 2- John went to the hallway. Question: Where is Mary? Answer: bathroom", "output": "Fact 2", "explanation": "The question asks about the location of Mary whereas fact 2 mentions about John. Therefore, fact 2 cannot be a supporting fact to answer this questio... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task084 | https://huggingface.co/datasets/Lots-of-LoRAs/task084_babi_t1_single_supporting_fact_identify_relevant_fact | babi t1 single supporting fact identify relevant fact |
637 | task637_extract_and_sort_unique_digits_in_a_list | In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "['q', '31', 'a', 'd', '53', '85', 'p', '77']", "output": "1, 3, 5, 7, 8", "explanation": "Here, the numbers in the list are '31', '53', '85' and '77', and the unique digits used in the list are '1, 3, 5, 7, 8' in ascending order."}, {"input": "['223', u, 'r', '540', 'k']", "output": "0, 2, 3, 4, 5", "explan... | [{"input": "['g', 'w', 'x', '3467', 'g']", "output": " 7, 6, 3, 4", "explanation": "Here, the answer should have been '3, 4, 6, 7' as '3467' is the only number in the list, and its digits in ascending order are '3, 4, 6, 7' in ascending order."}, {"input": "['75', '54', 'J', 'L', '2332', 'Z', 'e']", "output": " 7, 5, 4... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task637 | https://huggingface.co/datasets/Lots-of-LoRAs/task637_extract_and_sort_unique_digits_in_a_list | extract and sort unique digits in a list |
1283 | task1283_hrngo_quality_classification | You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0. | [
"Text Quality Evaluation"
] | [
"Dialogue",
"Public Places -> Restaurants"
] | [
"human_ratings_of_natural_language_generation_outputs"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "System Reference: there is a chinese restaurant on x called x.\nOriginal Reference: x is a chinese restaurant in x.", "output": "1", "explanation": "The system reference is grammatically correct and fluent."}, {"input": "System Reference: x is a restaurant recommend.\nOriginal Reference: x is a cafe restaur... | [{"input": "System Reference: x is a reasonably priced fast food restaurant down by river cheap.\nOriginal Reference: x is a cheap fastfood restaurant located near the riverside.", "output": "5.5", "explanation": "The output has to be 1 or 0."}, {"input": "System Reference: x is a restaurant that serves italian serving... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1283 | https://huggingface.co/datasets/Lots-of-LoRAs/task1283_hrngo_quality_classification | hrngo quality classification |
290 | task290_tellmewhy_question_answerability | In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character. | [
"Answerability Classification"
] | [
"Story"
] | [
"tellmewhy"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!\nWhy did He formulate a machine?", "output": "Answerable", "explanation": "He formulated a machine... | [{"input": "Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!\nWhy did He enjoy natural language processing?", "output": "I can't decide.", "explanation": "Do n... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task290 | https://huggingface.co/datasets/Lots-of-LoRAs/task290_tellmewhy_question_answerability | tellmewhy question answerability |
580 | task580_socialiqa_answer_generation | In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'. | [
"Question Answering"
] | [
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"social_iqa"
] | [
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "Context: Tracy didn't go home that evening and resisted Riley's attacks. \n Question: What does Tracy need to do before this? \n Options: (A) make a new plan (B) Go home and see Riley (C) Find somewhere to go", "output": "C", "explanation": "Tracy found somewhere to go and didn't come home because she wante... | [{"input": "Context: Tracy's kids wanted ice cream so Aubrey fed the kids ice cream. \n Question: What does Aubrey need to do before this? \n Options: (A) tell her kids to say thank you (B) get ice cream (C) thanks Tracy", "output": "get ice cream", "explanation": "The answer is correct, but it is supposed to only giv... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task580 | https://huggingface.co/datasets/Lots-of-LoRAs/task580_socialiqa_answer_generation | socialiqa answer generation |
1192 | task1192_food_flavor_profile | In this task, you are given the name of an Indian food dish. You need to classify the dish as "sweet" or "spicy". | [
"Misc."
] | [
"Food"
] | [
"indian_food_101"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "Keerai poriyal", "output": "spicy", "explanation": "Keerai poriyal is spicy in flavor"}, {"input": "Kuzhi paniyaram", "output": "sweet", "explanation": "Kuzhi paniyaram is sweet in flavor"}] | [{"input": "Pindi chana", "output": "sweet", "explanation": "Pindi chana is not sweet in flavor"}, {"input": "Til Pitha", "output": "spicy", "explanation": "Til Pitha is not spicy in flavor"}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1192 | https://huggingface.co/datasets/Lots-of-LoRAs/task1192_food_flavor_profile | food flavor profile |
453 | task453_swag_answer_generation | Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct. | [
"Text Completion"
] | [
"Captions -> Video Captions",
"Story"
] | [
"swag"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kuntal Kumar Pal"
] | [{"input": "We notice a man in a kayak and a yellow helmet coming in from the left. As he approaches, his kayak ", "output": "flips upside - down", "explanation": "Flipping of the kayak is a probable event. It is a logical next statement, given the context."}, {"input": "On stage, a woman takes a seat at the piano. She... | [{"input": "He is throwing darts at a wall. A woman", "output": "collapses and falls to the floor.", "explanation": "The output is a valid statement but it is not at all related to the event in the context. "}, {"input": "On stage, a woman takes a seat at the piano. She", "output": "is in the crowd, watching the dancer... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task453 | https://huggingface.co/datasets/Lots-of-LoRAs/task453_swag_answer_generation | swag answer generation |
1384 | task1384_deal_or_no_dialog_classification | Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'. | [
"Dialogue State Tracking"
] | [
"Dialogue",
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"deal_or_no_dialog"
] | [
"Commonsense Reasoning -> Social Situations",
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Hsiao, Sheng-Hung"
] | [{"input": "THEM: i need the hats and the ball YOU: i can give you one hat and the ball. i want 2 books and 1 hat THEM: i have to have both hats and the ball or both hats and a book to make a deal YOU: sorry, i won`t make a deal without a hat THEM: if you take 1 hat i have to have everything else YOU: sorry can`t ... | [{"input": "THEM: lemme get that book and ball! YOU: i need 2 balls and a hat THEM: i'll take the book and two hats then? YOU: ok.", "output": "No", "explanation": "Both participants agree to the deal, so the correct answer is Yes."}, {"input": "THEM: hello. i would like the book and one ball. YOU: you can have one... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1384 | https://huggingface.co/datasets/Lots-of-LoRAs/task1384_deal_or_no_dialog_classification | deal or no dialog classification |
167 | task167_strategyqa_question_generation | In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer... | [
"Question Generation"
] | [
"Wikipedia"
] | [
"strategyqa"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Term: Cooking oil, Description: Oil consumed by humans, from vegetable or animal origin., Answer:No", "output": "Can all types of cooking oil be poured?", "explanation": "This is a good question. For answering this question, you need to know different cooking oils and whether they can be poured."}, {"input"... | [{"input": "Term: New York City, Description: The City of New York, usually called either New York City (NYC) or simply New York (NY), is the most populous city in the United States.", "output": "How many people visited New York City in July 2007?", "explanation": "It is not obvious that this kind of information is ava... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task167 | https://huggingface.co/datasets/Lots-of-LoRAs/task167_strategyqa_question_generation | strategyqa question generation |
956 | task956_leetcode_420_strong_password_check | You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | [
"Text to Code"
] | [
"Mathematics"
] | [
"leetcode"
] | [
"Logical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Derek Shi"
] | [{"input": "password = a", "output": "5", "explanation": "Using 5 steps, it can become a strong password"}, {"input": "password = aA1", "output": "3", "explanation": "Using 3 steps, it can become a strong password"}] | [{"input": "password = 1337C0d3", "output": "1", "explanation": "This is incorrect, because it is a strong password"}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task956 | https://huggingface.co/datasets/Lots-of-LoRAs/task956_leetcode_420_strong_password_check | leetcode 420 strong password check |
1631 | task1631_openpi_answer_generation | Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity. | [
"Data to Text"
] | [
"Web"
] | [
"open_pi"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Anshita Singh Bais"
] | [{"input": " entity: arm \nbefore: free \nafter: grasped \nattr: state", "output": "state of arm was free before and grasped afterwards", "explanation": "The state of the arm was free before and afterwards it was grasped hence the output is correct."}, {"input": "entity: person \nbefore: standing \nafter: in air \nattr... | [{"input": "entity: buckles \nbefore: being worn \nafter: removed \nattr: wearing", "output": "wearing of buckles was being worn before and removed afterwards", "explanation": "Here wearing of buckles is grammatically incorrect and the output sentence should be the buckles were worn before and removed afterwards."}, {"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1631 | https://huggingface.co/datasets/Lots-of-LoRAs/task1631_openpi_answer_generation | openpi answer generation |
460 | task460_qasper_answer_generation | In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context. | [
"Question Answering"
] | [
"Scientific Research Papers"
] | [
"qasper"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequence model. Large-Scale Chinese Short Text Summarization Dataset (LCSTS) is constructed by BIBREF1 . The dataset consists of more than 2.4 million text-summary pairs in total, constructed from... | [{"input": "The minimal change operation substantially changed the meaning of the sentence, and yet the embedding of the transformation lies very closely to the original sentence (average similarity of 0.930). \n Question: Do they do any analysis of of how the modifications changed the starting set of sentences?", "out... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task460 | https://huggingface.co/datasets/Lots-of-LoRAs/task460_qasper_answer_generation | qasper answer generation |
574 | task574_air_dialogue_sentence_generation | In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | [
"Dialogue Generation"
] | [
"Dialogue"
] | [
"air_dialogue"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Jayavardhan Karampudi"
] | [{"input": "customer: Hello. \n agent: Hello. How may I help you? \n customer: I would like to do some changes in my existing reservation, can you please help me out? \n agent: Sure, I will help you in booking. May I know your name to proceed further? \n __ \n agent: Alexander Hernandez, regret to inform that there is... | [{"input": "customer: Hello, I am Pamela Jones. \n agent: Hello. How can I aid you? \n customer: I need to book a flight ticket from DEN to LAS, Can you please help me for booking? \n __ \n customer: I need a connection limit. \n agent: Please share me your travelling dates. \n customer: I would like to travel on 03/25... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task574 | https://huggingface.co/datasets/Lots-of-LoRAs/task574_air_dialogue_sentence_generation | air dialogue sentence generation |
697 | task697_mmmlu_answer_generation_formal_logic | You are given a question on formal logic. 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"
] | [
"Logic -> Formal logic"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Logical Reasoning",
"Mathematics"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Identify the conclusion of the following argument. It is hard not to verify in our peers the same weakened intelligence due to emotions that we observe in our everyday patients. The arrogance of our consciousness, which in general, belongs to the strongest defense mechanisms, blocks the unconscious complexe... | [{"input": "Identify the conclusion of the following argument. It is hard not to verify in our peers the same weakened intelligence due to emotions that we observe in our everyday patients. The arrogance of our consciousness, which in general, belongs to the strongest defense mechanisms, blocks the unconscious complexe... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task697 | https://huggingface.co/datasets/Lots-of-LoRAs/task697_mmmlu_answer_generation_formal_logic | mmmlu answer generation formal logic |
1158 | task1158_bard_analogical_reasoning_manipulating_items | Two analogies on manipulating items in a kitchen is given in the form "A : B. C : ?". The phrase "A : B" relates item A to its appropriate manipulation B. Your task is to replace the question mark (?) with the appropriate manipulation of item C, following the "A : B" relation. Your answer should be a verb which shows a... | [
"Word Analogy"
] | [
"Commonsense"
] | [
"bard"
] | [
"Relational Reasoning",
"Commonsense Reasoning",
"Analogical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arjun Ashok"
] | [{"input": "jug : pour. shoe : ?", "output": "untie", "explanation": "The given analogy relates items to how they are manipulated. Jugs can be poured into. Shoes can be untied."}, {"input": "jar : open. box : ?", "output": "open", "explanation": "The given analogy relates items to how they are manipulated. Jars can be ... | [{"input": "backpack : unzip. safe : ?", "output": "travel", "explanation": "The given analogy relates items to how they are manipulated. Backpacks can be unzipped. Safes CANNOT be travelled, and so it not the correct answer."}, {"input": "faucet : turn. bag : ?", "output": "cupboard", "explanation": "The given analogy... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1158 | https://huggingface.co/datasets/Lots-of-LoRAs/task1158_bard_analogical_reasoning_manipulating_items | bard analogical reasoning manipulating items |
1590 | task1590_diplomacy_text_generation | You are given first 5 messages from a series of message exchanges between 2 persons playing the game of Diplomacy which is an American strategic board game. You need to generate the next message. The message should be generated such that it fits the context seen so far. Avoid the text that is (i) tangent to the context... | [
"Dialogue Generation"
] | [
"Game",
"Dialogue"
] | [
"diplomacy_detection"
] | [
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Roseleen Kaur"
] | [{"input": "['Heyyyy Turkey', 'Whatcha thinking re: start of the game?', \"It kind of depends. I'll probably want to stop Russia from advancing south\", \"I'm kind of afraid of Austria and Russia teaming together on me\", 'I mean if that happens you\u2019re donezos']", "output": "What vibes are you getting from each of... | [{"input": "[\"Hey italy! good luck this game. I'm guessing you and Austria will be pals, you and France will be rivals?\", 'Well good luck to you too! No idea yet who is a friend. Have you heard anything interesting?', \"I have some agreements with France. If those are upheld, I'd bet France goes for Por and Spain in ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1590 | https://huggingface.co/datasets/Lots-of-LoRAs/task1590_diplomacy_text_generation | diplomacy text generation |
1451 | task1451_drug_dose_extraction | In this task, you will be given sentences and a drug name in which your task is to indicate the doses of intake of that particular drug. A dose refers to a specified amount of medication taken at one time. Although there might be several correct answers, you need to write one of them. | [
"Information Extraction"
] | [
"Biology -> Clinical Knowledge",
"Healthcare"
] | [
"ade_corpus_v2"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "An episode of subacute encephalopathy after the infusion of methotrexate (1500 mg/m2) (MTX) is reported in a young adult with metastastic gastric cancer.\t methotrexate", "output": "1500 mg/m2", "explanation": "Here, the drug methotrexate mentioned after '\t ' has been mentioned to be taken as 1500 mg/m2 wi... | [{"input": "Ibuprofen overdose is usually characterized by GI upset, dizziness, and mild sedation\t ibuprofen", "output": "mild", "explanation": "Here the drug ibuprofen has been mentioned to be taken in excess but mild is the qualifier of the sedation caused by overdose of the drug, hence mild should not be tagged as ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1451 | https://huggingface.co/datasets/Lots-of-LoRAs/task1451_drug_dose_extraction | drug dose extraction |
247 | task247_dream_answer_generation | In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man". | [
"Question Answering"
] | [
"Dialogue",
"Natural Science -> School Science Textbooks"
] | [
"dream"
] | [
"Reasoning on Social Interactions",
"Logical Reasoning",
"Commonsense Reasoning",
"Numerical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "M: I am considering dropping my dancing class. I am not making any progress. W: If I were you, I stick with it. It's definitely worth time and effort., Question: What does the man suggest the woman do? (A) Consult her dancing teacher. (B) Take a more interesting class. (C) Continue her dancing class.", "out... | [{"input": "W: Well, I'm afraid my cooking isn't to your taste. M: Actually, I like it very much. W: I'm glad you enjoy it. Let me serve you some more fish. M: No, thank you. I've had enough fish, but I'd like some soup. W: Here it is. Help yourself! M: Thanks. I didn't know you were so good at cooking. If only my wife... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task247 | https://huggingface.co/datasets/Lots-of-LoRAs/task247_dream_answer_generation | dream answer generation |
1566 | task1566_propara_structured_text_generation | In this task, you are given a paragraph, and your job is to generate comma-separated entities present in the given paragraph. Generate entities from a given passage in such a way that (i) they are present in the paragraph, (ii) they are non-duplicate, (iii) they underwent a state change during the process. Avoid creati... | [
"Named Entity Recognition"
] | [
"Natural Science"
] | [
"propara"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amrit Bhaskar"
] | [{"input": " Magma rises from deep in the earth. The magma goes into volcanos. The volcanos pressure the magma upwards. The pressure causes the magma to push through the surface of the volcano. The lava cools. The lava forms new rock. New magma is pressured to the surface of the volcano. The volcano bursts through the ... | [{"input": " Water from oceans, lakes, swamps, rivers, and plants turns into water vapor. Water vapor condenses into millions of tiny droplets that form clouds. Clouds lose these droplets through rain or snow, also caused precipitation. Precipitation is either absorbed into the ground or runs off into rivers. Water tha... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1566 | https://huggingface.co/datasets/Lots-of-LoRAs/task1566_propara_structured_text_generation | propara structured text generation |
516 | task516_senteval_conjoints_inversion | In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" base... | [
"Linguistic Probing"
] | [
"Narrative",
"Commonsense -> Concepts and Relations"
] | [
"senteval"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "He knew it , and he deserved no answer .", "output": "Inversion", "explanation": "\"He knew it\" and \"he deserved no answer\" have been inverted."}, {"input": "Clary saw his features tighten , but his face was in shadow .", "output": "Inversion", "explanation": "\"Clary saw his features tighten\" and \"his... | [{"input": "My eyes adjust to the darkness and I can see signs of a scuffle behind the counter .", "output": "Inversion", "explanation": "The two clausal conjoints in this sentence have not been inverted so output should be \"Original\"."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task516 | https://huggingface.co/datasets/Lots-of-LoRAs/task516_senteval_conjoints_inversion | senteval conjoints inversion |
605 | task605_find_the_longest_common_subsequence_in_two_lists | In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "[5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C']", "output": "8297, b", "explanation": "Here, '8297, b' is the longest common subsequence in both the input lists [5797, 8817, '8297', 'b', 'U', 'b'] and [5843, 8809, '8297', 'b', 'W', 'C']."}, {"input": "[3353, 'x', '6339', 'v', 'M', 3... | [{"input": "['Q', 7681, 'n', 'A', 'I', 'Q', 'N', 'c'], ['n', 4799, 'n', 'A', 'I', 'T', 'Y']", "output": "n, A", "explanation": "Here, the answer should have been 'n, A, I' as it is the longest common subsequence in both the input lists ['Q', 7681, 'n', 'A', 'I', 'Q', 'N', 'c'] and ['n', 4799, 'n', 'A', 'I', 'T', 'Y']."... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task605 | https://huggingface.co/datasets/Lots-of-LoRAs/task605_find_the_longest_common_subsequence_in_two_lists | find the longest common subsequence in two lists |
685 | task685_mmmlu_answer_generation_clinical_knowledge | You are given a question on clinical knowledge. 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 -> Clinical Knowledge"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "What size of cannula would you use in a patient who needed a rapid blood transfusion (as of 2020 medical knowledge)?\n(A)18 gauge. (B)20 gauge. (C)22 gauge. (D)24 gauge.", "output": "A", "explanation": "18 gauge would be used in a patient who needed a rapid blood transfusion"}, {"input": "The key attribute ... | [{"input": "What size of cannula would you use in a patient who needed a rapid blood transfusion (as of 2020 medical knowledge)?\n(A)18 gauge. (B)20 gauge. (C)22 gauge. (D)24 gauge.", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task685 | https://huggingface.co/datasets/Lots-of-LoRAs/task685_mmmlu_answer_generation_clinical_knowledge | mmmlu answer generation clinical knowledge |
1135 | task1135_xcsr_en_commonsense_mc_classification | In this task, you will be presented with a question that has multiple possible answers. You should choose the most suitable option out of "A", "B", "C", "D", and "E", based on your commonsense knowledge. | [
"Question Answering"
] | [
"Commonsense"
] | [
"x_csr"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Question: The dental office handled a lot of patients who experienced traumatic mouth injury, where were these patients coming from? \n Options: (A) town (B) michigan (C) hospital (D) schools (E) office building ", "output": "C", "explanation": "This is the correct answer because the traumatic injuries are ... | [{"input": "Question: The ticket booth informed riders that the train was running late, so where was the ticket booth located? \n Options: (A) movie theatre (B) sports arena (C) school (D) metro station (E) auditorium ", "output": "A", "explanation": "This is incorrect answer. Because the train is running late. Hence, ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1135 | https://huggingface.co/datasets/Lots-of-LoRAs/task1135_xcsr_en_commonsense_mc_classification | xcsr en commonsense mc classification |
1714 | task1714_convai3_sentence_generation | You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the inp... | [
"Dialogue Generation"
] | [
"Dialogue"
] | [
"clariq"
] | [
"Commonsense Reasoning -> Social Situations",
"Reasoning on Social Interactions",
"Abductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Qiang Fu"
] | [{"input": "User: Find information about joints in the human body. \nComputer: what specific joint are you interested in", "output": "i am interested in joint pain treatments in general", "explanation": "The user want to know joints in general, not a specific joint."}, {"input": "User: Looking for locations and dates o... | [{"input": "User: Find historical information about Madam C. J. Walker. \nComputer: would you like to know about madam cj walkers products", "output": "Yes, I want to know about the products.", "explanation": "This is a negative example because the user's true intent is to find historical information about the person, ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1714 | https://huggingface.co/datasets/Lots-of-LoRAs/task1714_convai3_sentence_generation | convai3 sentence generation |
1452 | task1452_location_entity_extraction_btc_corpus | In this task, you will be given sentences in which your task is to recognize the name of the location or place. Although there might be several correct answers, you need to write one of them. | [
"Named Entity Recognition"
] | [
"Geography",
"Social Media -> Twitter"
] | [
"broad_twitter_corpus"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "I have been staying in New York for quite some time.", "output": "New York", "explanation": "New York, being a popular city in US, is considered as a location and hence should be tagged."}, {"input": "The beaches at Florida are amazingly beautiful !", "output": "Florida", "explanation": "Florida, being a po... | [{"input": "Shakespeare has been writing a lot of his novels centering around central Europe.", "output": "Europe", "explanation": "Here, Europe is an incomplete mention of the location . It is because the main qualifier, which actually helps to figure out the location is missing. The correct answer is central Europe."... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1452 | https://huggingface.co/datasets/Lots-of-LoRAs/task1452_location_entity_extraction_btc_corpus | location entity extraction btc corpus |
047 | task047_miscellaneous_answering_science_questions | In this subtask, you will answer a simple science question. Please indicate the correct answer. If you're not sure about the answer, choose the last option "I don't know". Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'. The "A"-"D" responses correspond to the answer opt... | [
"Question Answering"
] | [
"Natural Science"
] | [
"miscellaneous"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Swaroop Mishra",
"Daniel Khashabi"
] | [{"input": "Question: When a guitar string is plucked, sound is produced by (A) the size of the guitar. (B) the metal on the guitar. (C) the wood on the guitar. (D) the vibrations of the string.", "output": "D.", "explanation": "We know that the vibrations of the string produces sound in a guitar. So, the correct answ... | [{"input": "Question: When a guitar string is plucked, sound is produced by (A) the size of the guitar. (B) the metal on the guitar. (C) the wood on the guitar. (D) the vibrations of the string.", "output": "the vibrations of the string.", "explanation": "This is a bad response since it does not belong to the list of ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task047 | https://huggingface.co/datasets/Lots-of-LoRAs/task047_miscellaneous_answering_science_questions | miscellaneous answering science questions |
341 | task341_winomt_classification_gender_anti | In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male. | [
"Gender Classification"
] | [
"Miscellaneous"
] | [
"winomt"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Sentence: The cashier told the sheriff the money was lost but failed to convince her.\n Profession: sheriff", "output": "Female", "explanation": "The sheriff is a female because the pronoun \"her\" is linked to the sheriff."}, {"input": "Sentence: The chief asked the cleaner to leave immediately after he fi... | [{"input": "Sentence: The housekeeper opened the door for the sheriff and waited for her to pass by.\n Profession: sheriff", "output": "Woman", "explanation": "The sheriff is a female, because the pronoun \"her\" is linked to the sheriff. You are expected to return female instead of woman."}, {"input": "Sentence: The p... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task341 | https://huggingface.co/datasets/Lots-of-LoRAs/task341_winomt_classification_gender_anti | winomt classification gender anti |
727 | task727_mmmlu_answer_generation_prehistory | You are given a question on prehistory. 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"
] | [
"Prehistory"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Unlike most other early civilizations, Minoan culture shows little evidence of:\n(A)trade. (B)warfare. (C)the development of a common religion. (D)conspicuous consumption by elites.", "output": "D", "explanation": "Unlike most other early civilizations, Minoan culture shows little evidence of conspicuous co... | [{"input": "Unlike most other early civilizations, Minoan culture shows little evidence of:\n(A)trade. (B)warfare. (C)the development of a common religion. (D)conspicuous consumption by elites.", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B,... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task727 | https://huggingface.co/datasets/Lots-of-LoRAs/task727_mmmlu_answer_generation_prehistory | mmmlu answer generation prehistory |
1720 | task1720_civil_comments_toxicity_classification | Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No. | [
"Toxic Language Detection"
] | [
"Dialogue",
"Social Media"
] | [
"civil_comments"
] | [
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Himanshu Asati"
] | [{"input": "haha you guys are a bunch of losers.", "output": "Yes", "explanation": "The comment here has word 'losers', which is used as an attack on a subject in the comment. Hence, it is a positive example"}, {"input": "Is this something I'll be able to install on my site? When will you be releasing it?", "output": "... | [{"input": "You just linked to a complaint (not a court case, a complaint - there is a huge difference) by a guy trying to not pay his taxes. Incidentally, his complaint and associated arguments were rejected by the Tax Court, by the U.S. District Court, by the 5th Circuit Court of Appeals and denied certiorari by the... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1720 | https://huggingface.co/datasets/Lots-of-LoRAs/task1720_civil_comments_toxicity_classification | civil comments toxicity classification |
076 | task076_splash_correcting_sql_mistake | In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by selecting data from a table where certain conditions apply. ... | [
"Text to Code"
] | [
"SQL"
] | [
"splash"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "SQL: SELECT avg ( Area ) , max ( Capacity ) FROM stadium\nFeedback: Swap the average of \"Area\" with the average of \"Capacity\"", "output": "SELECT avg(capacity) , max(capacity) FROM stadium", "explanation": "The SQL statement was adjusted to find the average of the capacity. This is a good example."}, {... | [{"input": "SQL: SELECT JOB_TITLE FROM jobs WHERE MAX_SALARY > 9000\nFeedback: it should be min salary", "output": "SELECT JOB_TITLE FROM jobs WHERE MAX_SALARY > 9000", "explanation": "This output SQL query did not change from the input. You must change the SQL input based on the feedback given."}, {"input": "SQL: SELE... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task076 | https://huggingface.co/datasets/Lots-of-LoRAs/task076_splash_correcting_sql_mistake | splash correcting sql mistake |
300 | task300_storycloze_order_generation | In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | [
"Sentence Ordering"
] | [
"Story",
"Commonsense"
] | [
"roc_stories"
] | [
"Temporal Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Sentence1: He is happy now. Sentence2: Rick grew up in a troubled household. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf. Sentence5: He never found good support in family, and turned to gangs.", "output": "25341", "explanation": "Rick gr... | [{"input": "Sentence1: He is happy now. Sentence2: Rick grew up in a troubled household. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf. Sentence5: He never found good support in family, and turned to gangs.", "output": "25314", "explanation": "The sto... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task300 | https://huggingface.co/datasets/Lots-of-LoRAs/task300_storycloze_order_generation | storycloze order generation |
388 | task388_torque_token_classification | In this task, a passage will be given and the goal is to identify an event from the passage. An event is defined as a single word representing something that happened, is happening, or may happen. An event can be factual or hypothetical, positive or negative, certain or uncertain. While most events are based on verbs, ... | [
"Information Extraction"
] | [
"News"
] | [
"torque"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Shailaja Keyur Sampat"
] | [{"input": "Passage: I submitted the hit. The hit was approved, and then I was paid.", "output": "approved", "explanation": "There are three events in this passage (i) submission event (\"submitted\") (ii) the approval event (\"approved\"), and (iii) the payment event (\"paid\"). You can use any one of them as an outpu... | [{"input": "Passage: He is happy.", "output": "happy", "explanation": "Happy is an adjective and hence cannot be an event. The output should be \"is\" which represents an event describing his attribute of happiness."}, {"input": "Passage: He was caught in the elevator.", "output": "elevator", "explanation": "Not every ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task388 | https://huggingface.co/datasets/Lots-of-LoRAs/task388_torque_token_classification | torque token classification |
1592 | task1592_yahoo_answers_topics_classfication | You are given a question title. You need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8 - 'Family & Relationships', 9 - 'Politics... | [
"Text Categorization"
] | [
"Miscellaneous"
] | [
"yahoo_answers_topics"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Roseleen Kaur"
] | [{"input": "What's the best way to clean a keyboard?", "output": "4", "explanation": "keyboard is used with a computer. Thus the category \"Computers & Internet\" is correctly classified."}, {"input": "How the human species evolved?", "output": "1", "explanation": "human species are social animals and thus, the questio... | [{"input": "How do I find an out of print book?", "output": "2", "explanation": "book comes under education and nowhere relates to health. Thus the topic is incorrectly classified."}, {"input": "Why doesn't the NBA implement a minor leagues?", "output": "4", "explanation": "NBA relates to basketball and has no associat... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1592 | https://huggingface.co/datasets/Lots-of-LoRAs/task1592_yahoo_answers_topics_classfication | yahoo answers topics classfication |
131 | task131_scan_long_text_generation_action_command_long | Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | [
"Code to Text"
] | [
"Computer Science -> Machine Learning"
] | [
"scan"
] | [
"Logical Reasoning -> Reasoning with Symbols"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "I_TURN_LEFT I_JUMP", "output": "jump left", "explanation": "If the agent turned to the left and jumped, then the agent jumped to the left."}, {"input": "I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP", "output": "jump around right", "explanation": "If the agent turned right ... | [{"input": "I_JUMP I_TURN_RIGHT", "output": "jump right", "explanation": "The agent jumped forward and then turned to the right instead of jumping to the right. This output matches 'I_TURN_RIGHT I_JUMP'. The correct output should be 'jump and turn right'."}, {"input": "I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIG... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task131 | https://huggingface.co/datasets/Lots-of-LoRAs/task131_scan_long_text_generation_action_command_long | scan long text generation action command long |
362 | task362_spolin_yesand_prompt_response_sub_classification | "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | [
"Dialogue Act Recognition"
] | [
"Dialogue"
] | [
"spolin"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Prompt: See, Arlene? That's why I don't talk to you like that because I'm afraid I'll scare our son. \n Response 1: I have 12. Wait, is the key to a success story getting the number to go down? \n Response 2: Oh, Dad. Even that wasn't great.", "output": "Response 2", "explanation": "Response 2 is correct an... | [{"input": "Prompt: So you want obstacles to piloting the ship? \n Response 1: Yeah, and more buttons and switches than we possibly could need. \n Response 2: It's a security device for your breathing taint.", "output": "Response 2", "explanation": "This is incorrect answer. Because Response 2 is out of context and doe... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task362 | https://huggingface.co/datasets/Lots-of-LoRAs/task362_spolin_yesand_prompt_response_sub_classification | spolin yesand prompt response sub classification |
127 | task127_scan_long_text_generation_action_command_all | Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | [
"Code to Text"
] | [
"Computer Science -> Machine Learning"
] | [
"scan"
] | [
"Reasoning with Symbols"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "I_TURN_LEFT I_JUMP", "output": "jump left", "explanation": "If the agent turned to the left and jumped, then the agent jumped to the left."}, {"input": "I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP", "output": "jump around right", "explanation": "If the agent turned right ... | [{"input": "I_JUMP I_TURN_RIGHT", "output": "jump right", "explanation": "The agent jumped forward and then turned to the right instead of jumping to the right. This output matches 'I_TURN_RIGHT I_JUMP'. The correct output should be 'jump and turn right'."}, {"input": "I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIG... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task127 | https://huggingface.co/datasets/Lots-of-LoRAs/task127_scan_long_text_generation_action_command_all | scan long text generation action command all |
267 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "1, 3, ['238', 'h', '92', 'U', '2799']", "output": "29h832", "explanation": "Here, concatenating all the elements between the 1st element and 3rd element and then reversing the string gives '29h832'."}, {"input": "8, 9, ['U', '6923', 'y', 'm', 'v', 'M', 'Y', '87667', 'E', '6059', 'p']", "output": "E76678", "... | [{"input": "1, 2, ['7475', 'B', '2459', 'm', '8349', 'O', 'q', 'Y', 'f']", "output": "B7475", "explanation": "Here, the answer should have been 'B5747' as concatenating all the elements between the 1st element and 2nd element and then reversing the string gives gives 'B5747'."}, {"input": "2, 4, ['75', '54', 'J', 'L', ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task267 | https://huggingface.co/datasets/Lots-of-LoRAs/task267_concatenate_and_reverse_all_elements_from_index_i_to_j | concatenate and reverse all elements from index i to j |
1731 | task1731_quartz_question_answering | You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key). | [
"Question Answering"
] | [
"Natural Science"
] | [
"quartz"
] | [
"Relational Reasoning",
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "Paragraph: Many of the worlds people live with water scarcity, and that percentage will increase as populations increase and climate changes.\n Question: John's town used to have lots of water, back when there were only a few hundred people. However, now that the town holds several thousand people, the wate... | [{"input": "Paragraph: An object with greater mass or greater velocity has more kinetic energy.\n Question: Milo threw both a basketball and a baseball through the air. If the basketball has more mass then the baseball, which ball has more kinetic energy? \n Choices: A)basketball \nB)baseball", "output": "baseball", "e... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1731 | https://huggingface.co/datasets/Lots-of-LoRAs/task1731_quartz_question_answering | quartz question answering |
929 | task929_products_reviews_classification | Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative. | [
"Sentiment Analysis"
] | [
"Reviews"
] | [
"generated_reviews_enth"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Karan Niraj Naik"
] | [{"input": "The sound seems really good but sometimes it cuts in and out which is annoying. You have to put the cord directly into your ipod. Other than that, its a simple design with nothing fancy. I love how cheap they were for 10 dollars... But overall nice design... No one can steal me earphones. lol thanks again a... | [{"input": "This is a terrific product. It does exactly as advertised and it was much less expensive here than at the store. Easy to attach & adjust both cameras from one DVR. We are buying 4 more of these for our other cameras. It looks like security personnel will now start to see us more often because they know how ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task929 | https://huggingface.co/datasets/Lots-of-LoRAs/task929_products_reviews_classification | products reviews classification |
1151 | task1151_swap_max_min | In this task, you are given a list of unique integers you need to swap the positions of maximum and minimum element in the list and return the updated list. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Reasoning on Numbers"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "[1,45,67,43,58,98,41,34,57]", "output": "[98,45,67,43,58,1,41,34,57]", "explanation": "1 is the minimum element and 98 is the maximum element and their positions are swapped in the resulting list."}, {"input": "[23,45,678,989,2,234,546,124]", "output": "[23,45,678,2,989,234,546,124]", "explanation": "2 is t... | [{"input": "[23,45,67,87,98,123,345]", "output": "[23,45,67,87,98,123,345]", "explanation": "The resulting list is same as the input, minimum and maximum elements did not get swapped."}, {"input": "[234,456,767,123,345,898,45,237]", "output": "[45,234,456,898,767,123,345,237]", "explanation": "minimum and maximum eleme... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1151 | https://huggingface.co/datasets/Lots-of-LoRAs/task1151_swap_max_min | swap max min |
1657 | task1657_gooaq_question_generation | You are given an answer. Create a question for the answer. | [
"Question Generation"
] | [
"Web"
] | [
"gooaq"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"NIKHIL CHANDRA NIRUKONDA"
] | [{"input": "In fact, it stands for Winter. In the case of synthetic 0W-20 oil, this means that it flows as easily as a 0 Weight oil in Winter temperatures, but is as thick and viscous as a 20 Weight oil once normal engine temperature has been reached.", "output": "0w-20: what does it mean?", "explanation": "The answer ... | [{"input": "From IU to mg: IU * 0.67 = mg.", "output": "1000 iu equals how many g?", "explanation": "The given answer tells us about IU to mg, but the question given as output asks about IU to g, so it's not a good question."}, {"input": "micrograms to milliliters Weight of 1 milliliter (ml) of pure water at temperatur... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1657 | https://huggingface.co/datasets/Lots-of-LoRAs/task1657_gooaq_question_generation | gooaq question generation |
353 | task353_casino_classification_negotiation_elicit_pref | 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: 'What do you think if in the camp we get together and have a meeting between your family and mine? We can have a small party to get to know each other better.' 'Sounds great!' 'Ok, my proposal is to give you all the firewood you need, on the condition that you give me all the water I need. And rega... | [{"input": "Context: 'Which one do you prefer most?' 'They sort of need more water for their meds' 'I'm sorry to hear that! But can you spare 1 for me since you probably don't need all the water.'\nUtterance: 'Sure that sounds fair. Thank you. Besides water what do you need for your trip?'", "output": "No", "explanatio... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task353 | https://huggingface.co/datasets/Lots-of-LoRAs/task353_casino_classification_negotiation_elicit_pref | casino classification negotiation elicit pref |
322 | task322_jigsaw_classification_threat | In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular. | [
"Toxic Language Detection"
] | [
"Social Media"
] | [
"jigsaw"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Comment: Enough already. Cut the head off this snake.", "output": "Threat", "explanation": "This comment conveys a violent threat to someone."}, {"input": "Comment: Disgusting comment, I pity anyone who has to live with you.", "output": "Non-threat", "explanation": "This comment might be toxic but is not a... | [{"input": "Comment: Bravo! Bravo!\n\nEncore!! Encore!! Encore!!", "output": "Threat", "explanation": "This comment is clearly unrelated to threat."}, {"input": "Comment: ... after shooting her with her own gun.", "output": "Non-threat", "explanation": "This comment clearly contains life-threatening."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task322 | https://huggingface.co/datasets/Lots-of-LoRAs/task322_jigsaw_classification_threat | jigsaw classification threat |
1156 | task1156_bard_analogical_reasoning_tools | Two analogies that relate actions to the tools used to perform the action is given in the form "A : B. C : ?". "A : B" relates action A to tool B. Your task is to replace the question mark (?) with the appropriate tool for the given action C, following the "A : B" relation. | [
"Word Analogy"
] | [
"Commonsense"
] | [
"bard"
] | [
"Relational Reasoning",
"Commonsense Reasoning",
"Analogical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arjun Ashok"
] | [{"input": "eat : fork. cook : ?", "output": "pan", "explanation": "The given analogy relates actions to the tools used to perform them. A fork can be used to eat. To cook, a pan can be used."}, {"input": "wash : rag. mop : ?", "output": "mop", "explanation": "The given analogy relates actions to the tools used to perf... | [{"input": "dig : shovel. wash : ?", "output": "sink", "explanation": "The given analogy relates actions to the tools used to perform them. A knife can be used to cut. To wash, a sink CANNOT be used."}, {"input": "drill : drill. crack : ?", "output": "shovel", "explanation": "The given analogy relates actions to the to... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1156 | https://huggingface.co/datasets/Lots-of-LoRAs/task1156_bard_analogical_reasoning_tools | bard analogical reasoning tools |
833 | task833_poem_sentiment_classification | In this task, you need to identify the sentiment of the given sentence as one of 'positive' or 'negative. | [
"Sentiment Analysis"
] | [
"Literature"
] | [
"poem_sentiment"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Abhijeet Nawale"
] | [{"input": "tormented by the quickened blood of roots", "output": "negative", "explanation": "There is an expression of sadness in this poem text, hence it is negative."}, {"input": "radiant as moses from the mount, he stood", "output": "positive", "explanation": "There is an expression of happiness in this poem text, ... | [{"input": "the beauty and the joy of their renewed might.", "output": "negative", "explanation": "There is an expression of happiness in this poem text, but it is incorrectly labeled as negative, it should be positive."}, {"input": "but homesick tears would fill the eyes", "output": "positive", "explanation": "There i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task833 | https://huggingface.co/datasets/Lots-of-LoRAs/task833_poem_sentiment_classification | poem sentiment classification |
722 | task722_mmmlu_answer_generation_random_topic | You are given a question on a random topic. 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"
] | [
"Miscellaneous"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "An important source of information on the credit rating of retail businesses is\n(A)the Retail Merchants Association (B)the local chamber of commerce (C)Dun & Bradstreet, Inc. (D)the United States Retail Credit Association", "output": "C", "explanation": "An important source of information on the credit rat... | [{"input": "An important source of information on the credit rating of retail businesses is\n(A)the Retail Merchants Association (B)the local chamber of commerce (C)Dun & Bradstreet, Inc. (D)the United States Retail Credit Association", "output": "I dont know.", "explanation": "Do not generate anything else apart from ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task722 | https://huggingface.co/datasets/Lots-of-LoRAs/task722_mmmlu_answer_generation_random_topic | mmmlu answer generation random topic |
1562 | task1562_zest_text_modification | Paraphrase the given questions to have different wording. Your paraphrased questions should have the same answer as the original question. Try to change the sentence as much as possible using synonyms and/or rearranging the structure of the sentence. The questions are in three domains: presidents, national parks, and d... | [
"Question Rewriting"
] | [
"Government and Politics"
] | [
"zest"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Does this dog breed have short legs compared to the rest of its body?", "output": "Is the body of this dog breed large compared to its legs?", "explanation": "The output has the same meaning and same answer as the original sentence. We changed the first sentence by rearranging the structure of the sentence.... | [{"input": "Does this dog breed get taller than 2 feet?", "output": "Is this dog breed tall?", "explanation": "This question is vague because it didn't specify tallness. Make your questions specific and concrete rather than open-ended or subjective."}, {"input": "Is this dog breed bigger than 12 inches?", "output": "Is... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1562 | https://huggingface.co/datasets/Lots-of-LoRAs/task1562_zest_text_modification | zest text modification |
1326 | task1326_qa_zre_question_generation_from_answer | Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge. | [
"Question Generation"
] | [
"Wikipedia"
] | [
"question_&_answer_zre"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yammanuru Abhilash Reddy"
] | [{"input": "Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School. \nAnswer : Havana", "output": "What was Isaac Nicola's city of birth?", "explanation": "The answer to the generated question according to context is Havana ... | [{"input": "Context : An Officer and a Gentleman is a 1982 American drama/romance film that stars Richard Gere, Debra Winger and Louis Gossett, Jr., who won the Academy Award for Best Supporting Actor for the film, and was produced by Lorimar Productions for Paramount Pictures. \nAnswer : Academy Award for Best Support... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1326 | https://huggingface.co/datasets/Lots-of-LoRAs/task1326_qa_zre_question_generation_from_answer | qa zre question generation from answer |
1216 | task1216_atomic_classification_causes | 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 -> Social Commonsense"
] | [
"atomic"
] | [
"Relational Reasoning",
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations",
"Reasoning on Objects"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Head: crisis<sep>Tail: focus", "output": "Yes", "explanation": "This is a good example. The crisis causes the focus."}, {"input": "Head: PersonX accepts PersonY invitation<sep>Tail: PersonY smiles", "output": "No", "explanation": "In this example, there isn't any causal relation between accepting the invita... | [{"input": "Head: PersonX accepts the job<sep>Tail: hardworking", "output": "Yes", "explanation": "In this example, there isn't any causal relation between accepting the job and being hardworking. So the output should be \"No\"."}, {"input": "Head: stress<sep>Tail: fatigue", "output": "No", "explanation": "Stress cause... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1216 | https://huggingface.co/datasets/Lots-of-LoRAs/task1216_atomic_classification_causes | atomic classification causes |
689 | task689_mmmlu_answer_generation_college_mathematics | You are given a question on college 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"
] | [
"Logical Reasoning",
"Quantitative Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Let k be the number of real solutions of the equation e^x + x - 2 = 0 in the interval [0, 1], and let n be the number of real solutions that are not in [0, 1]. Which of the following is true?\n(A)k = 0 and n = 1 (B)k = 1 and n = 0 (C)k = n = 1 (D)k > 1", "output": "B", "explanation": "The number of real sol... | [{"input": "Let k be the number of real solutions of the equation e^x + x - 2 = 0 in the interval [0, 1], and let n be the number of real solutions that are not in [0, 1]. Which of the following is true?\n(A)k = 0 and n = 1 (B)k = 1 and n = 0 (C)k = n = 1 (D)k > 1", "output": "I dont know.", "explanation": "Do not gene... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task689 | https://huggingface.co/datasets/Lots-of-LoRAs/task689_mmmlu_answer_generation_college_mathematics | mmmlu answer generation college mathematics |
043 | task043_essential_terms_answering_incomplete_questions | In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified question will be impossible to answer. Please indicate the correct answer with... | [
"Misc."
] | [
"Natural Science"
] | [
"essential"
] | [
"Abductive Reasoning",
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Swaroop Mishra",
"Daniel Khashabi"
] | [{"input": "Question: *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***. (A) dissolving (B) deposition (C) weathering (D) erosion.", "output": "E.", "explanation": "All the words are dropped, so the correct answer should be 'E' that stands for \"I don't know\"."}, {"input": "Question:... | [{"input": "Question: *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***. (A) dissolving (B) deposition (C) weathering (D) erosion.", "output": "I don't know; the information is not enough.", "explanation": "This is a bad answer because there are only 5 possible answers ('A', 'B', 'C',... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task043 | https://huggingface.co/datasets/Lots-of-LoRAs/task043_essential_terms_answering_incomplete_questions | essential terms answering incomplete questions |
201 | task201_mnli_neutral_classification | In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | [
"Textual Entailment"
] | [
"History",
"Fiction",
"Dialogue",
"Law",
"Government and Politics"
] | [
"multinli"
] | [
"Textual Entailment -> Deductive Reasoning",
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Anjana Arunkumar"
] | [{"input": "Statement: Next to the MGM Grand you will find M and M World, four stories of merchandise and memorabilia dedicated to the candy that doesn't melt in your hand. Choices: 1. The candy has many fans who love its attractions. 2. There's four stories of memorabilia dedicated to a candy. 3. That particular candy... | [{"input": "Statement: In 1994, fraction of households owning a personal computer is 0.25. Choices: 1. In 1994, 0.25 of households owned a PC, which was a high sum at the time. 2. In 1984, 0.8 of households owned a PC. In 1994, 0.25 of households owned a PC.", "output": "3", "explanation": "The choice and statement bot... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task201 | https://huggingface.co/datasets/Lots-of-LoRAs/task201_mnli_neutral_classification | mnli neutral classification |
244 | task244_count_elements_in_set_union | In this task, you are given two sets, and you need to count the number of elements at the union of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. Union of two given sets is the smallest set which contains all the elements of both the sets. To find the union of two... | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Arithmetic",
"Mathematics -> Counting"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Neeraj Varshney"
] | [{"input": "Set1: '{2, 3, 6, 9, 10, 14, 15, 20}', Set2: '{3, 5, 7, 9, 12, 15, 16}'. How many elements are there in the union of Set1 and Set2 ?", "output": "12", "explanation": "The union of Set1 and Set2 is {2, 3, 5, 6, 7, 9, 10, 12, 14, 15, 16, 20}. It has 12 elements. So, the answer is 12."}, {"input": "Set1: '{14}'... | [{"input": "Set1: '{8, 16, 9}', Set2: '{1, 2, 5, 8, 9, 10, 12, 14, 20}'. How many elements are there in the union of Set1 and Set2 ?", "output": "8", "explanation": "The union of Set1 and Set2 is {1, 2, 5, 8, 9, 10, 12, 14, 16, 20}. It has 10 elements. So, the answer should have been 10 instead of 8."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task244 | https://huggingface.co/datasets/Lots-of-LoRAs/task244_count_elements_in_set_union | count elements in set union |
102 | task102_commongen_sentence_generation | In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a d... | [
"Data to Text"
] | [
"Captions -> Image Captions"
] | [
"commongen"
] | [
"Relational Reasoning",
"Analogical Reasoning",
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mihir Parmar"
] | [{"input": "mountain#ski#skier", "output": "Skier skis down the mountain", "explanation": "Generated sentence as output is based on all three concepts \"mountain\", \"ski\", and \"skier\" given in the concept set."}, {"input": "call#character#contain#wallpaper", "output": "queen of wallpaper containing a portrait calle... | [{"input": "monarch#present#trophy#win", "output": "A huge commercial airplane comes down the runway.", "explanation": "No concepts from given concept set are present in the output sentence."}, {"input": "hang#stall#wall", "output": "military commander entering into a city on the railway", "explanation": "No concepts f... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task102 | https://huggingface.co/datasets/Lots-of-LoRAs/task102_commongen_sentence_generation | commongen sentence generation |
563 | task563_discofuse_answer_generation | In this task, you are given two sentences in the English language (Sentence 1 and Sentence 2). Your task is to identify the connecting word between the two sentences. | [
"Discourse Connective Identification"
] | [
"Wikipedia"
] | [
"discofuse"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Phani Rohitha Kaza"
] | [{"input": "Sentence 1:A suicide car bomber detonated his bomb as he attempted to drive an SUV into a Somali military camp . Sentence 2:However the vehicle exploded at the entrance when police guards opened fire on the insurgent driving the vehicle .", "output": "however", "explanation": "The above sentence is connecte... | [{"input": "Sentence 1:They 're still around . Sentence 2:And back they come again .", "output": "nevertheless", "explanation": "The above sentence is not connected by the word 'nevertheless'."}, {"input": "Sentence 1:Sri Lanka lost the match by 10 wickets . Sentence 2:However , his first ODI wicket came during the 3rd... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task563 | https://huggingface.co/datasets/Lots-of-LoRAs/task563_discofuse_answer_generation | discofuse answer generation |
706 | task706_mmmlu_answer_generation_high_school_mathematics | You are given a question on high school 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"
] | [
"Logical Reasoning",
"Quantitative Reasoning",
"Mathematics"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "If a pentagon P with vertices at (\u2013 2, \u2013 4), (\u2013 4, 1), (\u20131, 4), (2, 4), and (3, 0) is reflected across the line y = x to get a new pentagon, P\u2019, then one of the vertices of P\u2019 is\n(A)(0, \u2013 3) (B)(4, 1) (C)(2, 2) (D)(\u2013 4, \u20132)", "output": "D", "explanation": "(-4,-... | [{"input": "If a pentagon P with vertices at (\u2013 2, \u2013 4), (\u2013 4, 1), (\u20131, 4), (2, 4), and (3, 0) is reflected across the line y = x to get a new pentagon, P\u2019, then one of the vertices of P\u2019 is\n(A)(0, \u2013 3) (B)(4, 1) (C)(2, 2) (D)(\u2013 4, \u20132)", "output": "I dont know.", "explanati... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task706 | https://huggingface.co/datasets/Lots-of-LoRAs/task706_mmmlu_answer_generation_high_school_mathematics | mmmlu answer generation high school mathematics |
044 | task044_essential_terms_identifying_essential_words | You are given an elementary science question along with a few answer options. List all the words from the question that are essential and sufficient for choosing the correct answer option. Keep in mind that essential words are necessary to understand the meaning of the given question. However, non-essential words provi... | [
"Question Understanding"
] | [
"Natural Science"
] | [
"essential"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Swaroop Mishra",
"Daniel Khashabi"
] | [{"input": "Question: Which type of energy does a person use to pedal a bicycle? (A) light (B) sound (C) mechanical (D) electrical?", "output": "energy, pedal, bicycle", "explanation": "Clearly the words \"energy\", \"pedal\" and \"bicycle\" are necessary and enough to understand the category of the energy associated w... | [{"input": "Question: Which type of energy does a person use to pedal a bicycle? (A) light (B) sound (C) mechanical (D) electrical?", "output": "D", "explanation": "Here, the task is to find essential words. Clearly, someone answering 'D' has ignored the task instruction. Remember that the task is to find essential wor... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task044 | https://huggingface.co/datasets/Lots-of-LoRAs/task044_essential_terms_identifying_essential_words | essential terms identifying essential words |
615 | task615_moviesqa_answer_generation | You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence. | [
"Question Answering"
] | [
"Movies"
] | [
"wiki_movies"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "what kind of film is Best Seller?", "output": "crime", "explanation": "The answer is correct because crime genre movie is among best seller."}, {"input": "what was the release year of Edward II?", "output": "1991", "explanation": "Edward II is a 1991 British romantic historical drama film"}, {"input": "what... | [{"input": "who directed Italian for Beginners?", "output": "Niels W. Gade", "explanation": "That's a wrong answer. Lone Scherfig is the one who directed Italian for Beginners"}, {"input": "what type of movie is Powaqqatsi?", "output": "crime", "explanation": "Powaqqatsi is a music documentary. So, crime is a incorrect... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task615 | https://huggingface.co/datasets/Lots-of-LoRAs/task615_moviesqa_answer_generation | moviesqa answer generation |
1206 | task1206_atomic_classification_isbefore | 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 -> Social Commonsense",
"Commonsense -> Concepts and Relations -> Spatial Commonsense"
] | [
"atomic"
] | [
"Relational Reasoning",
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations",
"Commonsense Reasoning -> Spatial Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Head: PersonX swims at the local pool<sep>Tail: PersonX learns a new way of swimming", "output": "Yes", "explanation": "This is a good example. The Head happens before the Tail."}, {"input": "Head: PersonX acts as PersonY intermediary<sep>Tail: assist and protect PersonY's interests", "output": "No", "expla... | [{"input": "Head: PersonX acts like a PersonY<sep>Tail: to observe", "output": "Yes", "explanation": "Observing is not an event that happens before the Head. So the output should be \"No\"."}, {"input": "Head: PersonX tries to fix it<sep>Tail: PersonX orders new glass", "output": "No", "explanation": "Trying to fix hap... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1206 | https://huggingface.co/datasets/Lots-of-LoRAs/task1206_atomic_classification_isbefore | atomic classification isbefore |
1724 | task1724_civil_comments_insult_classification | Categorize the comment on the basis of insult. If the comment is insulting output Yes, otherwise output No. | [
"Toxic Language Detection"
] | [
"Dialogue",
"Social Media"
] | [
"civil_comments"
] | [
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Himanshu Asati"
] | [{"input": "This is what I read when it comes from an EWEB commish, 'Shut up and take it!'", "output": "Yes", "explanation": "The comment has term 'commish' which is an insult, also the phrase 'shut up and take it' is insulting as well. The comment is classified to be insulting. Hence, it is a positive example"}, {"inp... | [{"input": "I'm crazy about that illustration! I never would have thought to pitch everything so yellow and orange.", "output": "Yes", "explanation": "The comment is clearly not an insult to anyone, but classified as insulting. Therefore, this is a negative example."}, {"input": "Troll free since 2016.", "output": "No"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1724 | https://huggingface.co/datasets/Lots-of-LoRAs/task1724_civil_comments_insult_classification | civil comments insult classification |
707 | task707_mmmlu_answer_generation_high_school_microeconomics | You are given a question on high school microeconomics. 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"
] | [
"Economics -> Microeconomics"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Marginal revenue equals marginal cost at the point where\n(A)total revenue is greater than total cost at its greatest distance (B)total revenue is equal to total cost (C)marginal product is at its highest point (D)total product is at its highest point", "output": "A", "explanation": "Marginal revenue equals... | [{"input": "Marginal revenue equals marginal cost at the point where\n(A)total revenue is greater than total cost at its greatest distance (B)total revenue is equal to total cost (C)marginal product is at its highest point (D)total product is at its highest point", "output": "I dont know.", "explanation": "Do not gener... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task707 | https://huggingface.co/datasets/Lots-of-LoRAs/task707_mmmlu_answer_generation_high_school_microeconomics | mmmlu answer generation high school microeconomics |
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