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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
160 | task160_replace_letter_in_a_sentence | In this task, you need to replace a letter in the sentence with another given letter. | [
"Program Execution"
] | [
"Captions -> Image Captions"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Neeraj Varshney"
] | [{"input": "Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.", "output": "grnup nf mntnrcycle mntnrists trying tn merge intn traffic", "explanation": "The letter 'o' has been replaced in the letter 'n'."}, {"input": "Sentence: 'there are many boats... | [{"input": "Sentence: 'a kitten is crawling on the knee of the person at the laptop'. Replace the letter 'r' with 'a' in the sentence.", "output": "a kitten is crawling on the knee of the person at the laptop", "explanation": "After replace the letter 'r' with 'a' would result in 'a kitten is caawling on the knee of th... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task160 | https://huggingface.co/datasets/Lots-of-LoRAs/task160_replace_letter_in_a_sentence | replace letter in a sentence |
851 | task851_synthetic_multiply_evens | In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you sho... | [
"Program Execution"
] | [
"Code",
"Mathematics"
] | [
"synthetic"
] | [
"Mathematics"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[[7, -3, -3, 11], [-6, -6, -5, 2], [-8, 4, -3]]", "output": "[0, 72, -32]", "explanation": "The first inner list has no even integers, so the first number in the output is 0. The second list has -6, -6, 2 for even integers so the second output is 72. The third list has -8, 4 as even numbers so the third out... | [{"input": "[[8, 6], [-10, 5, 1, 9], [6, 8, 7, -2]]", "output": "[[48], [-10], [-96]]", "explanation": "The products are correctly calculated but the output is a list of lists. The output should be a list of integers. So this is a bad example."}, {"input": "[[0, -12, 7, 6], [-8, 0, -4, 10], [6, -2, 9, 0, 7]]", "output"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task851 | https://huggingface.co/datasets/Lots-of-LoRAs/task851_synthetic_multiply_evens | synthetic multiply evens |
1222 | task1222_ted_translation_ja_en | You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Japanese"
] | [
"English"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u7b2c\u4e00\u306b\u30ad\u30ea\u30d0\u30b9\u5171\u548c\u56fd\u304c\u5f7c\u3089\u81ea\u8eab\u306e\u5229\u76ca\u306b\u306a\u308b\u3068\u7406\u89e3\u3057\u305f\u304b\u3089\u3067\u3059", "output": "And it was primarily because Kiribati realized that this was in their own self-interest to do this.", "explanation... | [{"input": "\u5fc3\u81d3\u767a\u4f5c\u3092\u5f15\u304d\u8d77\u3053\u3059\u306e\u3067\u3059", "output": "It actually looks better than a brand new one \u2014 so looking good there.", "explanation": "The Japanese sentence is not correctly translated into English, because the meaning is different."}, {"input": "\u5730\u8c... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1222 | https://huggingface.co/datasets/Lots-of-LoRAs/task1222_ted_translation_ja_en | ted translation ja en |
815 | task815_pawsx_japanese_french_translation | Given a sentence in Japanese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Japanese"
] | [
"French"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "1975 - 76\u5e74\u306eNBA\u30b7\u30fc\u30ba\u30f3\u306f\u3001\u5168\u7c73\u30d0\u30b9\u30b1\u30c3\u30c8\u30dc\u30fc\u30eb\u5354\u4f1a\u306e30\u756a\u76ee\u306e\u30b7\u30fc\u30ba\u30f3\u3067\u3057\u305f\u3002", "output": "La saison 1975-1976 de la National Basketball Association \u00e9tait la 30e saison de ... | [{"input": "1560\u5e7410\u6708\u306b\u30d1\u30ea\u3067\u3001\u5f7c\u306f\u5bc6\u304b\u306b\u30b9\u30b3\u30c3\u30c8\u30e9\u30f3\u30c9\u3092\u901a\u3063\u3066\u30a4\u30f3\u30b0\u30e9\u30f3\u30c9\u306b\u623b\u308b\u305f\u3081\u306b\u30d1\u30b9\u30dd\u30fc\u30c8\u3092\u5f7c\u306b\u6c42\u3081\u3066\u3001\u82f1\u56fd\u5927\u... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task815 | https://huggingface.co/datasets/Lots-of-LoRAs/task815_pawsx_japanese_french_translation | pawsx japanese french translation |
533 | task533_europarl_es-en_language_identification | In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time. | [
"Language Identification"
] | [
"Government and Politics"
] | [
"europarl"
] | [] | [
"English",
"Spanish"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "All of us here are pleased that the courts have acquitted him and made it clear that in Russia, too, access to environmental information is a constitutional right.", "output": "English", "explanation": "Input sentence is in English language."}, {"input": "Why has no air quality test been done on this partic... | [{"input": "Madam President, on a point of order.", "output": "Cannot identify the language.", "explanation": "Answer should be Spanish or English."}, {"input": "Como ha dicho la gente, la situaci\u00f3n all\u00ed es extremadamente precaria.", "output": "French", "explanation": "The language of the input sentence can e... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task533 | https://huggingface.co/datasets/Lots-of-LoRAs/task533_europarl_es-en_language_identification | europarl es-en language identification |
1269 | task1269_ted_translation_fa_he | You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Persian"
] | [
"Hebrew"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u0634\u0645\u0627 \u0645\u06cc\u062a\u0648\u0646\u06cc\u062f \u0627\u06cc\u0646 \u067e\u0646\u06af\u0648\u0626\u0646 \u0647\u0627 \u0631\u0648 \u0628\u0628\u06cc\u0646\u06cc\u062f \u0627\u0648\u0646\u0647\u0627 \u062d\u0631\u06a9\u062a \u0645\u06cc\u06a9\u0646\u0646\u062f \u0628\u0647 \u0627\u0648\u0646 \u... | [{"input": "\u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u062d\u06a9\u0627\u0645 \u0648 \u0633\u0628\u06a9\u06cc \u060c \u0627\u0633\u06a9\u0644\u062a \u06af\u0646\u0628\u062f \u0627\u0632 \u067e\u0646\u062c \u062d\u0644\u0642\u0647 \u0686\u0648\u0628\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1269 | https://huggingface.co/datasets/Lots-of-LoRAs/task1269_ted_translation_fa_he | ted translation fa he |
606 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "3, 7, ['A', '23', '7413', '6933', '3369', '807', 'M', '456']", "output": "18522", "explanation": "Here, the numbers from 3rd to 7th position are '7413', '6933', '3369', and '807', hence their sum (7413+6933+3369+807) is 18522."}, {"input": "1, 2, ['v', 'R', '7707', 'p', '7085']", "output": "0", "explanation... | [{"input": "2, 5, ['7475', 'B', '2459', 'm', '8349', 'O', 'q', 'Y', 'f']", "output": "2459", "explanation": "Here, the answer should have been '10808' as the numbers from 3rd to 7th position are '2459' and '8349', hence their sum (2459+8349) is '10808'."}, {"input": "3, 5, ['75', '54', 'J', 'L', '2332', 'Z', 'e', '366'... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task606 | https://huggingface.co/datasets/Lots-of-LoRAs/task606_sum_of_all_numbers_in_list_between_positions_i_and_j | sum of all numbers in list between positions i and j |
417 | task417_mickey_es_sentence_perturbation_generation | Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | [
"Sentence Perturbation"
] | [
"Commonsense",
"Knowledge Base -> Wikidata"
] | [
"xcsr"
] | [] | [
"Spanish"
] | [
"Spanish"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Es probable que encuentres un planeta en el sistema solar.", "output": "Es desafortunado encontrar un planeta en el sistema solar.", "explanation": "This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about finding a planet in the so... | [{"input": "Es probable que encuentres una p\u00e1gina de papel en un c\u00f3mic.", "output": "Es probable que encuentres una gran espada de hierro f\u00edsica en un c\u00f3mic.", "explanation": "The output is semantically similar to the input but it does not follow the commonsense as we cannot find the physical iron s... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task417 | https://huggingface.co/datasets/Lots-of-LoRAs/task417_mickey_es_sentence_perturbation_generation | mickey es sentence perturbation generation |
644 | task644_refresd_translation | Given an English sentence, convert it into the french language. | [
"Translation"
] | [
"Miscellaneous"
] | [
"refresd"
] | [] | [
"English"
] | [
"French"
] | [
"English"
] | [
"Ian Lobo"
] | [{"input": "He later scouted in Europe for the Montreal Canadiens .", "output": "Il a plus tard \u00e9t\u00e9 d\u00e9pisteur du Canadiens de Montr\u00e9al en Europe .", "explanation": "English sentence is converted to the French language."}, {"input": "The plan was revised in 1916 to concentrate the main US naval fleet... | [{"input": "Hellhounds have been said to be as black as coal and smell of burning brimstone .", "output": "Le noir animal fut utilis\u00e9 de la m\u00eame mani\u00e8re que le noir de fum\u00e9e ou le charbon de bois comme colorant noir .9", "explanation": "English sentence is not converted to the French language correc... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task644 | https://huggingface.co/datasets/Lots-of-LoRAs/task644_refresd_translation | refresd translation |
024 | task024_cosmosqa_answer_generation | Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few ... | [
"Question Answering"
] | [
"Personal Narratives"
] | [
"cosmosqa"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Swaroop Mishra",
"Daniel Khashabi"
] | [{"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. \nQuestion: What may happen after the call?", "output": "I will return the shoes and get back the money.", "explanation": "Excellent correct answer: as it presents a non-stereotypical solutio... | [{"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. \nQuestion: What may happen after the call?", "output": "I will have shoes.", "explanation": "The answer is mostly present in context and does not require commonsense."}, {"input": "Context... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task024 | https://huggingface.co/datasets/Lots-of-LoRAs/task024_cosmosqa_answer_generation | cosmosqa answer generation |
737 | task737_mmmlu_answer_generation_world_religions | You are given a question on world religions. 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"
] | [
"World Religions"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": " What can murtis be translated as?\n(A)Offerings (B)Prayers (C)Apparitions (D)Idols", "output": "D", "explanation": "Murtis can be translated as Idols"}, {"input": " Naturalists who concentrated on natural elements and processes are associated with which of the following?\n(A)Daoism (B)Yin-Yang School (C)Me... | [{"input": " What can murtis be translated as?\n(A)Offerings (B)Prayers (C)Apparitions (D)Idols", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": " Naturalists who concentrated on natural elements and processes are assoc... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task737 | https://huggingface.co/datasets/Lots-of-LoRAs/task737_mmmlu_answer_generation_world_religions | mmmlu answer generation world religions |
786 | task786_pawsx_korean_german_translation | Given a sentence in Korean, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Korean"
] | [
"German"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "1975 \ub144\ubd80\ud130 76 \ub144\uae4c\uc9c0 NBA \uc2dc\uc98c\uc740 \uc804\uad6d \ub18d\uad6c \ud611\ud68c (National Basketball Association)\uc758 30 \ubc88\uc9f8 \uc2dc\uc98c\uc774\uc5c8\ub2e4.", "output": "Die Saison 1975 - 76 der National Basketball Association war die 30. Saison der NBA.", "explanation... | [{"input": "1560 \ub144 10 \uc6d4 \ud30c\ub9ac\uc5d0\uc11c \uadf8\ub294 \ube44\ubc00\ub9ac\uc5d0 \uc601\uad6d \ub300\uc0ac \uc778 \ub2c8\ucf5c\ub77c\uc2a4 \ud2b8\ub85d \ubaa8\ud2bc\uc744 \ub9cc\ub0ac\uace0 \uc2a4\ucf54\ud2c0\ub79c\ub4dc\ub97c \ud1b5\ud574 \uc601\uad6d\uc73c\ub85c \ub3cc\uc544\uac08 \uc5ec\uad8c\uc744 \... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task786 | https://huggingface.co/datasets/Lots-of-LoRAs/task786_pawsx_korean_german_translation | pawsx korean german translation |
896 | task896_miam_language_classification | Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish. | [
"Language Identification"
] | [
"Dialogue"
] | [
"miam"
] | [] | [
"English",
"French",
"German",
"Italian",
"Spanish"
] | [
"English"
] | [
"English"
] | [
"Karthik Murugesan"
] | [{"input": "Text: 'try and ehm go as close to ravine as possible but up towards the carved stones'.", "output": "English", "explanation": "This is an English sentence."}, {"input": "Text: 'Buenos d\u00edas . Desear\u00eda saber los horarios de trenes que hay desde Monz\u00f3n", "output": "Spanish", "explanation": "This... | [{"input": "Text: 'ja wir wollen doch ge nach Hannover'", "output": "French", "explanation": "The given sentence is German but incorrectly classified as French"}, {"input": "Text: 'Voulez vous en savoir plus sur mon m\u00e9tier, ou surles \u00e9tudes que j'ai faites ?'", "output": "Italian", "explanation": "This questi... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task896 | https://huggingface.co/datasets/Lots-of-LoRAs/task896_miam_language_classification | miam language classification |
1237 | task1237_ted_translation_he_ar | You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Hebrew"
] | [
"Arabic"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u05e1\u05da \u05db\u05dc \u05d4\u05e4\u05e2\u05d5\u05dc\u05d5\u05ea \u05e9\u05dc \u05d4\u05de\u05d4\u05d3\u05e7\u05d9\u05dd \u05e2\u05dc \u05d4\u05d2\u05d3\u05d9\u05dc \u05d4\u05d0\u05e8\u05d5\u05da \u05de\u05e7\u05e4\u05dc\u05d5\u05ea \u05d0\u05d5\u05ea\u05d5 \u05dc\u05e6\u05d5\u05e8\u05d4 \u05d3\u05de\u0... | [{"input": "\u05db\u05d0\u05d9\u05dc\u05d5, \u05d0\u05e0\u05d9 \u05d0\u05d5\u05d4\u05d1\u05ea \u05d0\u05ea \u05db\u05dc \u05de\u05d4 \u05e9\u05e7\u05e9\u05d5\u05e8 \u05dc\u05d6\u05d4, \u05d6\u05d4 \u05de\u05d3\u05d4\u05d9\u05dd.", "output": "\u0645\u062b\u0644 \u060c \u0623\u0646\u0627 \u0623\u0643\u0631\u0647 \u0643\u... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1237 | https://huggingface.co/datasets/Lots-of-LoRAs/task1237_ted_translation_he_ar | ted translation he ar |
1136 | task1136_xcsr_fr_commonsense_mc_classification | In this task, you will be presented with a question having multiple possible answers in French language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge. | [
"Question Answering"
] | [
"Commonsense"
] | [
"x_csr"
] | [
"Commonsense Reasoning"
] | [
"French"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Question: C'\u00e9tait un cadeau populaire et commun cette ann\u00e9e, alors il s'est dirig\u00e9 vers le quoi o\u00f9 il serait facile de le trouver ? \n Options: (A) arbre de no\u00ebl (B) bas de No\u00ebl (C) magasin sp\u00e9cialis\u00e9 (D) placard (E) grand magasin ", "output": "E", "explanation": "The... | [{"input": "Question: Le guichet informait les usagers que le train avait du retard, alors o\u00f9 \u00e9tait-il situ\u00e9 ? \n Options: (A) salle de cin\u00e9ma (B) ar\u00e8ne sportive (C) \u00e9cole (D) auditorium (E) station de m\u00e9tro ", "output": "D", "explanation": "This is incorrect answer. Because the train... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1136 | https://huggingface.co/datasets/Lots-of-LoRAs/task1136_xcsr_fr_commonsense_mc_classification | xcsr fr commonsense mc classification |
1109 | task1109_ted_translation_ar_pt | You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Arabic"
] | [
"Portuguese"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u0648\u0644\u0643\u0646 \u0645\u0627\u0647\u064a \u062d\u0642\u0648\u0642 \u0627\u0644\u0625\u0646\u0633\u0627\u0646 \u061f", "output": "Mas o que s\u00e3o direitos humanos?", "explanation": "The Arabic sentence is correctly translated into Portugese, because the meaning is preserved."}, {"input": "\u0633\... | [{"input": "\u0623\u0639\u062a\u0642\u062f \u0623\u0646\u0646\u0627 \u0633\u0646\u0634\u0647\u062f \u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0637\u0628\u064a\u0629 \u0644\u0647\u0630\u0647 \u0627\u0644\u062a\u0642\u0646\u064a\u0629 \u0644\u062f\u0649 \u0627\u0644\u0628\u0627\u0644\u063a\u064a\u0646 \u0639\u0644\u064... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1109 | https://huggingface.co/datasets/Lots-of-LoRAs/task1109_ted_translation_ar_pt | ted translation ar pt |
863 | task863_asdiv_multiop_question_answering | You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer. | [
"Question Answering"
] | [
"Mathematics"
] | [
"nlu_asdiv_dataset"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Tanay Dixit"
] | [{"input": "for a birthday party cody bought 30 regular sodas and 5 diet sodas . if his fridge would only hold 7 on each shelf how many shelves would he fill up ?", "output": "5", "explanation": "total sods = 30+5 = 35, total shelves filled = total soda/7 = 35/7 = 5"}, {"input": "if the all the participants found a tot... | [{"input": "december is a busy month for the toy store . they had 95 games on the shelf . 68 games were sold the first week . the store got 47 more games from the factory . how many games did they have then ?", "output": "95", "explanation": "Total games left = 95 - 68 + 47 = 74, hence correct answer is 74 "}, {"input... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task863 | https://huggingface.co/datasets/Lots-of-LoRAs/task863_asdiv_multiop_question_answering | asdiv multiop question answering |
256 | task256_spl_translation_de_en | The provided file includes inquiries about restaurants in German, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for ... | [
"Translation"
] | [
"Public Places -> Restaurants"
] | [
"semantic_parser_localizer"
] | [] | [
"German"
] | [
"English"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "gibt es hier in der n\u00e4he \" italian \" restaurants mit 10-sterne-bewertungen?", "output": "are there any \" italian \" restaurants nearby with 10 star reviews ?", "explanation": "The translation correctly preserves \" italian \" entity and is accurate"}, {"input": "welche art von essen serviert dieses ... | [{"input": "wo ist das n\u00e4chste \" wendy 's \"?", "output": "where is the closest wendy 's ?", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "zeige mir den n\u00e4chsten \" mcdonald 's \".", "output": "show me the closest \" McDonald's \"", "explanation":... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task256 | https://huggingface.co/datasets/Lots-of-LoRAs/task256_spl_translation_de_en | spl translation de en |
097 | task097_conala_remove_duplicates | In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list. | [
"Program Execution"
] | [
"Code -> Repo -> Stack Overflow"
] | [
"conala"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Counting"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[0,1,0,2,5,1]", "output": "[2,5]", "explanation": "The only elements that are not duplicated is 2 and 5. This is a good example."}, {"input": "[4,2,1,2,4,1,1]", "output": "[]", "explanation": "Every element in the input list appears more than once in the input list. Therefore, the output is an empty list. T... | [{"input": "[1,1,1,0,3,0,2]", "output": "[1,0]", "explanation": "The output contains the elements that were duplicated. The duplicates should have been removed. This is an incorrect output."}, {"input": "[5,5,4,5,1,1,5]", "output": "[4,4,4,4,4,4,4]", "explanation": "The duplicate values were replaced by a non duplicate... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task097 | https://huggingface.co/datasets/Lots-of-LoRAs/task097_conala_remove_duplicates | conala remove duplicates |
660 | task660_mizan_fa_en_translation | In this task, you are given a sentence in Persian, and your task is to translate it into English. | [
"Translation"
] | [
"Miscellaneous"
] | [
"parsinlu"
] | [] | [
"Persian"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "\u062c\u0646\u0627\u0628 \u06af\u0631\u0627\u0646\u062a \u062e\u06cc\u0644\u06cc \u062f\u0644\u0634 \u0645\u06cc\u200c\u062e\u0648\u0627\u0633\u062a \u0631\u0648\u0632 \u06cc\u06a9\u0634\u0646\u0628\u0647 \u0628\u0639\u062f \u0627\u0632 \u0622\u0646 \u0647\u0645\u0647 \u062e\u0633\u062a\u06af\u06cc \u0631\u... | [{"input": "\u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647\u200c\u0627\u0646\u062f \u06a9\u0647 \u0627\u0628\u062a\u06a9\u0627\u0631 \u0646\u062f\u0627\u0631\u0646\u062f \u0648 \u062e\u0628\u0631\u06cc \u0627\u0632 \u0622\u062a\u0634 \u0622\u0633\u0645\u0627\u0646\u06cc \u062f\u0631 \u0648\u062c\u0648\u062f\u0634\u0... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task660 | https://huggingface.co/datasets/Lots-of-LoRAs/task660_mizan_fa_en_translation | mizan fa en translation |
409 | task409_mickey_nl_sentence_perturbation_generation | Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | [
"Sentence Perturbation"
] | [
"Commonsense",
"Knowledge Base -> Wikidata"
] | [
"xcsr"
] | [] | [
"Dutch"
] | [
"Dutch"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Je kunt een mandje gebruiken om de prullenbak te vervangen.", "output": "Je kunt een mand gebruiken om afval weg te gooien.", "explanation": "This is a good change in the input, because it is semantically similar to the input as both are talking about using a basket to through trash/garbage and the output s... | [{"input": "Mensen slapen vooral in een bed.", "output": "Mensen slapen meestal in water.", "explanation": "The output is semantically similar to the input but it does not follow the commonsense as people can\u2019t sleep in the water."}, {"input": "Mensen dan families gaan ski\u00ebn om bergen te beklimmen.", "output"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task409 | https://huggingface.co/datasets/Lots-of-LoRAs/task409_mickey_nl_sentence_perturbation_generation | mickey nl sentence perturbation generation |
412 | task412_mickey_zh_sentence_perturbation_generation | Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | [
"Sentence Perturbation"
] | [
"Commonsense",
"Knowledge Base -> Wikidata"
] | [
"xcsr"
] | [] | [
"Chinese"
] | [
"Chinese"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "\u9759\u97f3\u5f00\u5173\u7528\u4e8e\u6fc0\u6d3b\u706f\u5149 \u3002", "output": "\u4f7f\u7528\u706f\u5f00\u5173\u547d\u4ee4\u53d6\u51fa\u9488\u5934 \u3002", "explanation": "This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about th... | [{"input": "\u4f60\u53ef\u4ee5\u7528\u4e00\u672c\u4e66\u6765\u8fdb\u884c\u7ade\u9009\u6d3b\u52a8\u3002", "output": "\u4f60\u53ef\u4ee5\u901a\u8fc7\u9605\u8bfb\u4e00\u672c\u4e66\u6765\u5b66\u4e60\u6e38\u6cf3\u3002", "explanation": "The output is semantically similar to the input but it does not follow the commonsense as... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task412 | https://huggingface.co/datasets/Lots-of-LoRAs/task412_mickey_zh_sentence_perturbation_generation | mickey zh sentence perturbation generation |
1252 | task1252_ted_translation_it_gl | You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Italian"
] | [
"Galician"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.", "output": "Isto incl\u00fae un sistema en \u00e1rabe chamado al-jebra.", "explanation": "The Italian sentence is correctly translated into Galician, because the meaning is preserved."}, {"input": "di come viene gestito.", "output": "\u00b... | [{"input": "Un'unit\u00e0 come questa \u00e8 una un'unit\u00e0 di energia di combustibile fossile \u2014 petrolio, carbone o gas.", "output": "\u00c9 notar como os teus defectos che cortan a lingua.", "explanation": "The Italian sentence is not correctly translated into Galician, because the meaning is different."}, {"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1252 | https://huggingface.co/datasets/Lots-of-LoRAs/task1252_ted_translation_it_gl | ted translation it gl |
1649 | task1649_opus_books_en-no_translation | The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Norwegian language... | [
"Translation"
] | [
"Books"
] | [
"opus_books"
] | [] | [
"English"
] | [
"Norwegian"
] | [
"English"
] | [
"Mohd Zaid"
] | [{"input": "The Hound of the Baskervilles", "output": "Hunden fra Baskerville", "explanation": "The 'hound' and 'Baskervilles' keyword in English matches exactly with the 'hunden' and 'Baskerville' word in Norwegian so the name entity is preserved."}, {"input": "Sir Arthur Conan Doyle", "output": "Sir Arthur Conan Doyl... | [{"input": "'Chapter 1 Mr. Sherlock Holmes'", "output": "CAP\u00cdTOL Sherlock Holmes.", "explanation": "The 'CAP\u00cdTOL Sherlock Holmes.' is wrong translation of the English word CHAPTER I the correct output should be kapitel I Sherlock Holmes. The number entity should be preserved."}, {"input": "With me, it was my... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1649 | https://huggingface.co/datasets/Lots-of-LoRAs/task1649_opus_books_en-no_translation | opus books en-no translation |
752 | task752_svamp_multiplication_question_answering | You are given a math word problem and you are supposed to only use multiplication or division operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer. | [
"Question Answering"
] | [
"Mathematics"
] | [
"svamp"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Tanay Dixit"
] | [{"input": "Context: Alex has 5 boxes, each box has 4 apples.\n\n Question: How many apples does Alex have ?", "output": "20", "explanation": "Total number of apples is 5*4 = 20"}, {"input": "Context: There are 6 baskets of apples. Each basket has 16 red apples and 18 green apples. \n\n Question: How many red apples ar... | [{"input": "Context: There are 6 baskets of apples. Each basket has 16 red apples and 18 green apples. \n\n Question: How many red apples are in the baskets altogether?", "output": "204", "explanation": "Total number of apples = 6*16 = 96, hence correct answer is 96"}, {"input": "Context: A car can travel 100 miles on ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task752 | https://huggingface.co/datasets/Lots-of-LoRAs/task752_svamp_multiplication_question_answering | svamp multiplication question answering |
334 | task334_hateeval_classification_hate_es | In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | [
"Toxic Language Detection"
] | [
"Social Media -> Twitter"
] | [
"hateeval"
] | [] | [
"Spanish"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Post: @medelcami01 Tu eres mi perra cierto", "output": "Hateful", "explanation": "This post contains explicit language \"perra\" and disrespects women. The English translation is \"@medelcami01 You're my bitch right\"."}, {"input": "Post: Enamorada de Arabe \ud83d\ude0d siempre rompiendola @_eckoyg", "outpu... | [{"input": "Post: malditos \u00e1rabes, como pueden entender esto", "output": "Yes", "explanation": "You are expected to return \"Hateful\" or \"Non-hateful\". This post is hateful against Arabs. The English translation is \"damn Arabs, how can they understand this\"."}, {"input": "Post: Se nos rien en la cara @atleti ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task334 | https://huggingface.co/datasets/Lots-of-LoRAs/task334_hateeval_classification_hate_es | hateeval classification hate es |
1229 | task1229_ted_translation_es_he | You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Spanish"
] | [
"Hebrew"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Pero comenzamos con la idea de un ni\u00f1o por vez.", "output": "\u05d0\u05d1\u05dc \u05d4\u05ea\u05d7\u05dc\u05e0\u05d5 \u05dc\u05de\u05de\u05e9 \u05d0\u05ea \u05d4\u05e8\u05e2\u05d9\u05d5\u05df \u05e9\u05dc \u05dc\u05dc\u05de\u05d3 \u05db\u05dc \u05d9\u05dc\u05d3 \u05d1\u05e0\u05e4\u05e8\u05d3.", "explan... | [{"input": "Poco sab\u00eda yo, acostado acurrucado en mi cuna en 1948, que hab\u00eda nacido en el lugar correcto y en el tiempo correcto, que estaba en un pa\u00eds en el que podr\u00eda participar en la revoluci\u00f3n tecnol\u00f3gica.", "output": "\u05d0\u05d5 \u05d7\u05e9\u05d1\u05d5 \u05e2\u05dc \u05ea\u05e0\u05... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1229 | https://huggingface.co/datasets/Lots-of-LoRAs/task1229_ted_translation_es_he | ted translation es he |
114 | task114_is_the_given_word_longest | In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence. | [
"Linguistic Probing"
] | [
"Captions -> Image Captions"
] | [
"x_csr"
] | [
"Numerical Reasoning",
"Mathematics -> Counting"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Neeraj Varshney"
] | [{"input": "Sentence: 'two men in a room holding wii remotes'. Is 'remotes' the longest word in the sentence?", "output": "Yes", "explanation": "The word 'remotes' has 7 letters which is the maximum in this sentence. So, the answer is 'Yes'."}, {"input": "Sentence: 'a woman accepts a wine pour at a festival'. Is 'woman... | [{"input": "Sentence: 'a woman accepts a wine pour at a festival'. Is 'wine' the longest word in the sentence?", "output": "Yes", "explanation": "The word 'wine' has just 4 letters while the longest word 'festival' has 8 letters. So, the answer should have been 'No' instead of 'Yes'."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task114 | https://huggingface.co/datasets/Lots-of-LoRAs/task114_is_the_given_word_longest | is the given word longest |
1331 | task1331_reverse_array | In this task, you are given a list of integers in a random order. You need to return the same list of integers in the reverse order. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "[139, 192, 48, 118, 158, 52, 41, 137, 172, 285, 57, 187, 269, 277, 13, 114, 250, 99, 210, 155]", "output": "[155, 210, 99, 250, 114, 13, 277, 269, 187, 57, 285, 172, 137, 41, 52, 158, 118, 48, 192, 139]", "explanation": "The output list is reverse in order of the input."}, {"input": "[78, 97, 96, 177, 299, ... | [{"input": "[156, 253, 283, 69, 26, 167, 225, 30, 271, 178, 71, 63, 191, 67, 245, 241, 31, 172, 21, 297]", "output": "[191, 63, 71, 178, 297, 21, 172, 31, 241, 245, 67, 271, 30, 69, 283, 225, 167, 26, 253, 156]", "explanation": "The output list is not in reverse order of the input list."}, {"input": "[130, 220, 281, 12... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1331 | https://huggingface.co/datasets/Lots-of-LoRAs/task1331_reverse_array | reverse array |
1309 | task1309_amazonreview_summary_classification | In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False". | [
"Summarization"
] | [
"Reviews"
] | [
"multilingual_amazon_reviews"
] | [
"Reasoning on Social Interactions",
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "Review: My cat won't touch these. My dog, however, chews them and makes a mess all over the carpet and I can't get the shredded sticks out! Messy. Waste of money! \n Summary: Cat hates them", "output": "True", "explanation": "The answer is True. Because it's a correct summary where the owner mentioned their... | [{"input": "Review: The design is good, but the build is disappointing. I used these one time, and they are falling apart. The long handles are all detached and the mesh started detaching from the handle. \n Summary: Not falling apart!", "output": "True", "explanation": "The answer should be False. Because It's an inco... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1309 | https://huggingface.co/datasets/Lots-of-LoRAs/task1309_amazonreview_summary_classification | amazonreview summary classification |
1107 | task1107_ted_translation_ar_pl | You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Arabic"
] | [
"Polish"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u0644\u0630\u0627 \u0646\u0639\u0644\u0645 \u0623\u0646\u0647\u0627 \u0633\u062a\u0643\u0648\u0646 \u0646\u0627\u062c\u062d\u0629. \u0648\u0644\u0643\u0646 \u0639\u0644\u064a\u0646\u0627 \u0645\u0631\u0627\u0642\u0628\u062a\u0647\u0627", "output": "Poradzi sobie, ale trzeba na ni\u0105 uwa\u017ca\u0107.", ... | [{"input": "\u0625\u0646 \u0625\u0646\u0641\u0627\u0642 \u062b\u0644\u0627\u062b\u0629 \u0628\u0644\u0627\u064a\u064a\u0646 \u062f\u0648\u0644\u0627\u0631 \u0641\u0649 \u0645\u0639\u0633\u0643\u0631\u0627\u062a \u0627\u0644\u0644\u0627\u062c\u0626\u064a\u0646 \u0641\u0649 \u0645\u062d\u0627\u0648\u0644\u0629 \u0644\u06... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1107 | https://huggingface.co/datasets/Lots-of-LoRAs/task1107_ted_translation_ar_pl | ted translation ar pl |
1353 | task1353_hind_encorp_translation_en_hi | The provided file includes English sentences, and we ask you to translate those to the Hindi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of... | [
"Translation"
] | [
"Books",
"News",
"Wikipedia",
"Miscellaneous"
] | [
"hind_encorp"
] | [] | [
"English"
] | [
"Hindi"
] | [
"English"
] | [
"Arpit Prajapati"
] | [{"input": "What's going on", "output": "\u0915\u094d\u092f\u093e \u0939\u094b \u0930\u0939\u093e \u0939\u0948 \u092f\u0947?", "explanation": "The translation is fluent, formal, and accurate and preserves the question in output language."}, {"input": "But after his demise, his bother Sardar Vallabh Bhai Patel did not a... | [{"input": "Pregnant women should not help with lambing, or milk ewes that have recently given birth, or touch the afterbirth, or come into contact with new-born lambs. <s> Chlamydiosis", "output": "\u0907\u0928 \u091c\u094b\u0916\u093f\u092e\u094b\u0902 \u0938\u0947 \u092c\u091a\u0928\u0947 \u0915\u0947 \u0932\u093f\u... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1353 | https://huggingface.co/datasets/Lots-of-LoRAs/task1353_hind_encorp_translation_en_hi | hind encorp translation en hi |
175 | task175_spl_translation_en_pl | The provided file includes inquiries about restaurants, and we ask you to translate those to the Polish language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloqui... | [
"Translation"
] | [
"Public Places"
] | [
"semantic_parser_localizer"
] | [] | [
"English"
] | [
"Polish"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "are there any \" italian \" restaurants nearby with 3 star reviews ?", "output": "czy w pobli\u017cu znajduj\u0105 si\u0119 jakiekolwiek restauracje \" italian \" z opiniami z 3 gwiazdk\u0105/gwiazdkami?", "explanation": "The translation correctly preserves \" italian \" entity and is accurate"}, {"input": ... | [{"input": "where is the closest \" wendy 's \" ?", "output": "gdzie znajduje si\u0119 najbli\u017cszy obiekt wendy 's?", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "show me the closest \" mcdonald 's \"", "output": "wy\u015bwietl najbli\u017cszy obiekt \"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task175 | https://huggingface.co/datasets/Lots-of-LoRAs/task175_spl_translation_en_pl | spl translation en pl |
1610 | task1610_xquad_es_answer_generation | Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence. | [
"Question Answering"
] | [
"Wikipedia"
] | [
"xquad"
] | [] | [
"Spanish"
] | [
"Spanish"
] | [
"English"
] | [
"Srija Macherla"
] | [{"input": "P\u00e1rrafo: Mart\u00edn Lutero se cas\u00f3 con Katharina von Bora, una de las 12 monjas a las que hab\u00eda ayudado a escapar del convento cisterciense de Nimbschen en abril de 1523, cuando dispuso que fueran sacadas de contrabando en barriles de arenque. De repente, y mientras estaba ocupado con pensam... | [{"input": "P\u00e1rrafo: Los oc\u00e9anos y los lagos tienen mucho en com\u00fan, pero tambi\u00e9n son bastante diferentes. Ambos son cuerpos de agua, pero los oc\u00e9anos son cuerpos muy grandes de agua salada, mientras que los lagos son cuerpos mucho m\u00e1s peque\u00f1os de agua dulce. Pregunta: \u00bfQu\u00e9 s... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1610 | https://huggingface.co/datasets/Lots-of-LoRAs/task1610_xquad_es_answer_generation | xquad es answer generation |
1243 | task1243_ted_translation_gl_it | You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Galician"
] | [
"Italian"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Isto incl\u00fae un sistema en \u00e1rabe chamado al-jebra.", "output": "Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.", "explanation": "The Galician sentence is correctly translated into Italian, because the meaning is preserved."}, {"input": "\u00bfC\u00f3mo se est\u00e1 a dirixir?",... | [{"input": "Unha unidade destas \u00e9 unha unidade de enerx\u00eda de combustible f\u00f3sil \u2014 petr\u00f3leo, carb\u00f3n ou gas.", "output": "Significa sentire i propri difetti, un viscerale taglio della lingua.", "explanation": "The Galician sentence is not correctly translated into Italian, because the meaning... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1243 | https://huggingface.co/datasets/Lots-of-LoRAs/task1243_ted_translation_gl_it | ted translation gl it |
1115 | task1115_alt_ja_id_translation | Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is. | [
"Translation"
] | [
"News"
] | [
"asian_language_treebank"
] | [] | [
"Japanese"
] | [
"Indonesian"
] | [
"English"
] | [
"Savan Doshi"
] | [{"input": "\u30d5\u30e9\u30f3\u30b9\u306e\u30d1\u30ea\u3001\u30d1\u30eb\u30af\u30fb\u30c7\u30fb\u30d7\u30e9\u30f3\u30b9\u3067\u884c\u308f\u308c\u305f2007\u5e74\u30e9\u30b0\u30d3\u30fc\u30ef\u30fc\u30eb\u30c9\u30ab\u30c3\u30d7\u306e\u30d7\u30fc\u30ebC\u3067\u3001\u30a4\u30bf\u30ea\u30a2\u306f31\u5bfe5\u3067\u30dd\u30eb... | [{"input": "\u30dd\u30eb\u30c8\u30ac\u30eb\u306f\u3042\u304d\u3089\u3081\u308b\u3053\u3068\u306a\u304f\u3001\u30c7\u30d3\u30c3\u30c9\u30fb\u30da\u30ca\u30eb\u30d0\u304c33\u5206\u3067\u30c8\u30e9\u30a4\u3092\u6c7a\u3081\u3001\u8a66\u5408\u4e2d\u552f\u4e00\u306e\u5f97\u70b9\u3092\u3042\u3052\u305f\u3002", "output": "Port... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1115 | https://huggingface.co/datasets/Lots-of-LoRAs/task1115_alt_ja_id_translation | alt ja id translation |
1219 | task1219_ted_translation_en_es | You are given a sentence in English. Your job is to translate the English sentence into Spanish. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"English"
] | [
"Spanish"
] | [
"English"
] | [
"David Stap"
] | [{"input": "With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.", "output": "Con el crecimiento, los pa\u00edses y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.", "expla... | [{"input": "And I said, \"\" I'm learning. \"\" (Laughter) And she looked at me, and it was like the successful arm-wrestle, and then, after that, she delivered an extraordinary account of what her life really was like.", "output": "Esta fue tomada debajo de un hogar para indigentes construido en 1885 para albergar 110... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1219 | https://huggingface.co/datasets/Lots-of-LoRAs/task1219_ted_translation_en_es | ted translation en es |
447 | task447_opus_paracrawl_classification | A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs. | [
"Language Identification"
] | [
"Web"
] | [
"opus_paracrawl"
] | [] | [
"French",
"English",
"Dutch",
"Somali",
"Tagalog"
] | [
"English"
] | [
"English"
] | [
"Arut Selvan Dhanasekaran"
] | [{"input": "Text: Cheval de soins pour les enfants de 3 ans!", "output": "French", "explanation": "The given text is in French language"}, {"input": "Text: Welke kleuren zijn nu in de mode?", "output": "Dutch", "explanation": "The text is a question in Dutch language"}, {"input": "Text: Harry Potter disarmed Voldermort... | [{"input": "Text: Wat is diabetes type 2?", "output": "English", "explanation": "Even though some of the words belong to English, the word 'Wat' is actually Dutch and it makes the given sentence Dutch. So the correct answer should have been Dutch."}, {"input": "Text: Qu'en est-il de vos effectifs en 2019 ?", "output": ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task447 | https://huggingface.co/datasets/Lots-of-LoRAs/task447_opus_paracrawl_classification | opus paracrawl classification |
739 | task739_lhoestq_question_generation | In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | [
"Question Generation"
] | [
"Web"
] | [
"missing"
] | [
"Abductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Hanut Singh"
] | [{"input": "Context: Architecturally, the school has a Catholic character. Atop the Main Building's gold dome is a golden statue of the Virgin Mary. Immediately in front of the Main Building and facing it, is a copper statue of Christ with arms upraised with the legend \"Venite Ad Me Omnes\". Next to the Main Building ... | [{"input": "Context: The university is the major seat of the Congregation of Holy Cross (albeit not its official headquarters, which are in Rome). Its main seminary, Moreau Seminary, is located on the campus across St. Joseph lake from the Main Building. Old College, the oldest building on campus and located near the s... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task739 | https://huggingface.co/datasets/Lots-of-LoRAs/task739_lhoestq_question_generation | lhoestq question generation |
122 | task122_conala_list_index_addition | In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [
"Program Execution"
] | [
"Code -> Repo -> Stack Overflow"
] | [
"conala"
] | [
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[[6, 3, 8], [7, -5]]", "output": "[13, -2, 8]", "explanation": "We start by summing up the first elements of all the lists: 6 + 7 = 13, so the first element of the output is 13. For the second element of the output, we sum up the second elements of all the lists: 3 + (-5) = -2. One of the lists doesn't have... | [{"input": "[[5, 1, 7, 7], [6, 8], [7, -2, 1, 8, 10]]", "output": "[[20], [14], [24]", "explanation": "Here, the sum of each individual list is returned. This is not the correct way to do the task."}, {"input": "[[9, 5], [6, 7, 10, 2], [-4, 7, 8, 7], [8, 1, 2, -3, 6]", "output": "[19, 20]", "explanation": "The output i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task122 | https://huggingface.co/datasets/Lots-of-LoRAs/task122_conala_list_index_addition | conala list index addition |
827 | task827_copa_commonsense_reasoning | Given a premise and two alternatives, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment. | [
"Cause Effect Classification"
] | [
"Narrative"
] | [
"copa"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "The women met for coffee.\n(1)The cafe reopened in a new location.(2)They wanted to catch up with each other.", "output": "2", "explanation": "The second alternative makes more sense because meeting for coffee could be because of wanting to catch up with each other."}, {"input": "My body cast a shadow over ... | [{"input": "My body cast a shadow over the grass.\n(1)The sun was rising.(2)The grass was cut.", "output": "2", "explanation": "Casting a shadow has nothing to do with the grass being cut."}, {"input": "The man got a discount on his groceries.\n(1)He greeted the cashier.(2)He used a coupon.", "output": "1", "explanatio... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task827 | https://huggingface.co/datasets/Lots-of-LoRAs/task827_copa_commonsense_reasoning | copa commonsense reasoning |
1134 | task1134_xcsr_hi_commonsense_mc_classification | In this task, you will be presented with a question having multiple possible answers in Hindi language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge. | [
"Question Answering"
] | [
"Commonsense"
] | [
"x_csr"
] | [
"Commonsense Reasoning"
] | [
"Hindi"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Question: \u092f\u0939 \u0907\u0938 \u0935\u0930\u094d\u0937 \u0915\u093e \u090f\u0915 \u0932\u094b\u0915\u092a\u094d\u0930\u093f\u092f \u0914\u0930 \u0906\u092e \u0909\u092a\u0939\u093e\u0930 \u0925\u093e, \u0907\u0938\u0932\u093f\u090f \u0935\u0939 \u0909\u0938 \u0938\u094d\u0925\u093e\u0928 \u0915\u0940 ... | [{"input": "Question: \u091f\u093f\u0915\u091f \u092c\u0942\u0925 \u0928\u0947 \u0938\u0935\u093e\u0930\u093f\u092f\u094b\u0902 \u0915\u094b \u0938\u0942\u091a\u093f\u0924 \u0915\u093f\u092f\u093e \u0915\u093f \u091f\u094d\u0930\u0947\u0928 \u0926\u0947\u0930\u0940 \u0938\u0947 \u091a\u0932 \u0930\u0939\u0940 \u0925\u0... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1134 | https://huggingface.co/datasets/Lots-of-LoRAs/task1134_xcsr_hi_commonsense_mc_classification | xcsr hi commonsense mc classification |
321 | task321_stereoset_classification_religion | Given two sentences regarding the stereotypes of religions, determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that g... | [
"Stereotype Detection"
] | [
"Stereotypes"
] | [
"stereoset"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "Target: Muslim \nMuslim people live all over the world. They are hateful toward women and children.", "output": "stereotype", "explanation": "This is a stereotype because not every Muslim person is hateful towards women and children."}, {"input": "Target: Muslim \nMuslim people live all over the world. Ther... | [{"input": "Target: Muslim \nMuslim people live all over the world. They are hateful toward women and children.", "output": "anti-stereotype", "explanation": "This is actually a stereotype since it is incorrectly viewed that Muslims are violent and full of rage towards others."}, {"input": "target: Muslim \nMuslim peop... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task321 | https://huggingface.co/datasets/Lots-of-LoRAs/task321_stereoset_classification_religion | stereoset classification religion |
804 | task804_pawsx_german_spanish_translation | Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"German"
] | [
"Spanish"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "Die NBA-Saison 1975 - 76 war die 30. Saison der National Basketball Association.", "output": "La temporada 1975 - 76 de la Asociaci\u00f3n Nacional de Baloncesto fue la temporada 30 de la NBA.", "explanation": "This is a correct and accurate translation from German to Spanish because the translated paraphra... | [{"input": "Im Oktober 1560 traf er sich in Paris heimlich mit dem englischen Botschafter Nicolas Throckmorton und bat ihn um einen Pass, um durch Schottland nach England zur\u00fcckzukehren.", "output": "En octubre de 1560, se reuni\u00f3 en secreto con el embajador ingl\u00e9s, Nicolas Throckmorton, en Par\u00eds, y ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task804 | https://huggingface.co/datasets/Lots-of-LoRAs/task804_pawsx_german_spanish_translation | pawsx german spanish translation |
984 | task984_pib_translation_marathi_gujarati | A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence. | [
"Translation"
] | [
"Sociology",
"News"
] | [
"pib"
] | [] | [
"Marathi"
] | [
"Gujarati"
] | [
"English"
] | [
"Krima Doshi",
"Swaroop"
] | [{"input": "\u092e\u0902\u0924\u094d\u0930\u093f\u092e\u0902\u0921\u0933\u093e\u0924\u0940\u0932 \u092e\u093e\u091d\u0947 \u0938\u0939\u0915\u093e\u0930\u0940 \u0936\u094d\u0930\u0940\u092f\u0941\u0924 \u091c\u0947", "output": "\u0a95\u0ac7\u0aac\u0abf\u0aa8\u0ac7\u0a9f \u0a9c\u0ac7\u0a9c\u0ac7\u0aae\u0abe\u0a82 \u0aae... | [{"input": "\u0924\u0941\u092e\u094d\u0939\u0940 \u092c\u0918\u093e, \u0930\u093e\u0937\u094d\u091f\u094d\u0930\u092a\u0924\u0940, \u0909\u092a\u0930\u093e\u0937\u094d\u091f\u094d\u0930\u094d\u092a\u0924\u0940 \u0906\u0923\u093f \u092e\u0940 \u0938\u094d\u0935\u0924\u0903 \u091b\u094b\u091f\u094d\u092f\u093e \u0917\u09... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task984 | https://huggingface.co/datasets/Lots-of-LoRAs/task984_pib_translation_marathi_gujarati | pib translation marathi gujarati |
399 | task399_semeval_2018_task1_tweet_sadness_detection | In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well. | [
"Sentiment Analysis"
] | [
"Social Media -> Twitter"
] | [
"semeval_2018_task1"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "You could have over a hundred million followers and still not a genuine person who understands you or wants to #cantshakethis #sadness", "output": "Sad", "explanation": "The tweet author is sad because they think no one understands them."}, {"input": "@bennymcnugget Very sad and upset and idk :/", "output":... | [{"input": "We have the opportunity to move away from the gloomy nihilism that characterizes the reign of our deeply patriarchal, dominator culture.", "output": "Sad", "explanation": "The tweet author author isn't sad, although the tweet contains words that may imply sadness."}, {"input": "@LeahRemini A 'religion' tha... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task399 | https://huggingface.co/datasets/Lots-of-LoRAs/task399_semeval_2018_task1_tweet_sadness_detection | semeval 2018 task1 tweet sadness detection |
1129 | task1129_alt_ja_th_answer_generation | Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No". | [
"Text Matching"
] | [
"News"
] | [
"asian_language_treebank"
] | [] | [
"Japanese",
"Thai"
] | [
"English"
] | [
"English"
] | [
"Savan Doshi"
] | [{"input": "Japanese: \u8a73\u7d30\u306f\u6628\u65e5UTC17\u664230\u5206\u3001\u82f1\u56fd\u8b70\u4f1a\u3067\u30a4\u30ae\u30ea\u30b9\u306e\u30eb\u30b9\u30fb\u30b1\u30ea\u30fc\u904b\u8f38\u5927\u81e3\u306b\u3088\u3063\u3066\u4f1d\u3048\u3089\u308c\u305f\u3002 \n Thai: \u0e23\u0e32\u0e22\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e2... | [{"input": "Japanese: \u30a4\u30ae\u30ea\u30b9\u306e\u653f\u6cbb\u95a2\u4fc2\u8005\u306f\u3001\u3053\u306e\u60c5\u5831\u306e\u7d1b\u5931\u305d\u306e\u3082\u306e\u306b\u3064\u3044\u3066\u3082\u3001\u653f\u5e9c\u304c\u60c5\u5831\u3092\u5b89\u5168\u306b\u53ce\u96c6\u3057\u3001\u4fdd\u6301\u3059\u308b\u80fd\u529b\u306b\u30... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1129 | https://huggingface.co/datasets/Lots-of-LoRAs/task1129_alt_ja_th_answer_generation | alt ja th answer generation |
592 | task592_sciq_incorrect_answer_generation | Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect. | [
"Wrong Candidate Generation"
] | [
"Natural Science -> School Science Textbooks"
] | [
"sciq"
] | [
"Commonsense Reasoning",
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kuntal Kumar Pal"
] | [{"input": "What are arteries, veins, and capillaries examples of?", "output": "tissue", "explanation": "Blood vessels include arteries, veins, and capillaries. Tissue is a combination of cells."}, {"input": "What do the planets orbit around in the solar system?", "output": "the moon", "explanation": "Planets orbit aro... | [{"input": "What is the term for the secretion of saliva?", "output": "salivation", "explanation": "Production of saliva stimulated by the smell of food is called salivation. Hence this is a correct answer to the question, but the task is to generate incorrect answers."}, {"input": "What plant structures are the main a... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task592 | https://huggingface.co/datasets/Lots-of-LoRAs/task592_sciq_incorrect_answer_generation | sciq incorrect answer generation |
1111 | task1111_ted_translation_he_it | You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Hebrew"
] | [
"Italian"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\"\" \u05d0\u05e3 \u05d0\u05d3\u05dd \u05d0\u05d9\u05e0\u05d5 \u05d0\u05d9 \u05d4\u05e2\u05d5\u05de\u05d3 \u05d1\u05e4\u05e0\u05d9 \u05e2\u05e6\u05de\u05d5.", "output": "\"\" Nessun uomo \u00e8 un'isola completamente a s\u00e9.", "explanation": "The Hebrew sentence is correctly translated into Italian, beca... | [{"input": "\u05d0\u05d1\u05dc \u05dc\u05d3\u05e2\u05ea\u05d9 \u05d6\u05d5 \u05d8\u05e8\u05d2\u05d3\u05d9\u05d4 \u05db\u05e9\u05d0\u05d9\u05df \u05d4\u05df \u05e0\u05e4\u05d2\u05e9\u05d5\u05ea.", "output": "Oggi non \u00e8 pi\u00f9 sicuro.", "explanation": "The Hebrew sentence is not correctly translated into Italian, ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1111 | https://huggingface.co/datasets/Lots-of-LoRAs/task1111_ted_translation_he_it | ted translation he it |
512 | task512_twitter_emotion_classification | In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise. | [
"Sentiment Analysis"
] | [
"Social Media -> Twitter"
] | [
"emotion"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Giannis Karamanolakis"
] | [{"input": "im feeling quite sad and sorry for myself but ill snap out of it soon", "output": "sadness", "explanation": "The emotion of the post is sadness as the user mentions 'feeling quite sad and sorry for myself'. Hence, the label is 'sadness'."}, {"input": "i am just feeling cranky and blue", "output": "anger", "... | [{"input": "i constantly feel these fits of discontent", "output": "joy", "explanation": "The emotion of the post is sadness as the user mentions 'discontent'. Hence, the label should be 'sadness' and not 'joy'."}, {"input": "i try to share what i bake with a lot of people is because i love people and i want them to fe... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task512 | https://huggingface.co/datasets/Lots-of-LoRAs/task512_twitter_emotion_classification | twitter emotion classification |
839 | task839_cdt_classification | Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'. | [
"Toxic Language Detection"
] | [
"Social Media -> Twitter"
] | [
"cdt"
] | [
"Commonsense Reasoning -> Social Situations",
"Reasoning on Social Interactions"
] | [
"Polish"
] | [
"English"
] | [
"English"
] | [
"Sai Surya Akhilesh, Amara Venkata"
] | [{"input": "Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudzi\u0144ski jeste\u015b k\u0142amc\u0105 i marnym kutasem @anonymized_account, Question: Does the tweet contain cyberbullying (harmful) content?", "output": "Yes", "explanation": "The tweet contains Bully... | [{"input": "Tweet: @anonymized_account @anonymized_account No to Sko\u0144czmy kurwa z tym wersalem w j...ej szczujni, Question: Does the tweet contain cyberbullying (harmful) content?", "output": "No", "explanation": "The tweet contains Bullying content"}, {"input": "Tweet: @anonymized_account @anonymized_account Braw... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task839 | https://huggingface.co/datasets/Lots-of-LoRAs/task839_cdt_classification | cdt classification |
797 | task797_pawsx_spanish_french_translation | Given a sentence in Spanish, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Spanish"
] | [
"French"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "La temporada de la NBA de 1975: 76 fue la 30\u00aa temporada de la National Basketball Association.", "output": "La saison 1975-1976 de la National Basketball Association \u00e9tait la 30e saison de la NBA.", "explanation": "This is a correct and accurate translation from Spanish to French because the trans... | [{"input": "En Par\u00eds, en octubre de 1560, se reuni\u00f3 en secreto con el embajador ingl\u00e9s, Nicolas Throckmorton, pidi\u00e9ndole un pasaporte para regresar a Inglaterra a trav\u00e9s de Escocia.", "output": "En octobre 1560, il rencontra secr\u00e8tement l'ambassadeur d'Angleterre, Nicolas Throckmorton, \u0... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task797 | https://huggingface.co/datasets/Lots-of-LoRAs/task797_pawsx_spanish_french_translation | pawsx spanish french translation |
253 | task253_spl_translation_en_zh | The provided file includes inquiries about restaurants, and we ask you to translate those to the Chinese language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloq... | [
"Translation"
] | [
"Public Places -> Restaurants"
] | [
"semantic_parser_localizer"
] | [] | [
"English"
] | [
"Chinese"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "are there any \" italian \" restaurants nearby with 3 star reviews ?", "output": "\u9644\u8fd1\u662f\u5426\u6709\u4efb\u4f553\u661f\u8bc4\u4ef7\u7684\" italian \"\u9910\u5385\uff1f", "explanation": "The translation correctly preserves \" italian \" entity and is accurate"}, {"input": "what kind of food does... | [{"input": "where is the closest \" wendy 's \" ?", "output": "\u6700\u8fd1\u7684wendy 's\u5728\u54ea\u91cc\uff1f", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "show me the closest \" mcdonald 's \"", "output": "\u5411\u6211\u663e\u793a\u6700\u8fd1\u7684\" ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task253 | https://huggingface.co/datasets/Lots-of-LoRAs/task253_spl_translation_en_zh | spl translation en zh |
1375 | task1375_newscomm_translation | This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done. | [
"Translation"
] | [
"News"
] | [
"news_commentary"
] | [] | [
"Dutch"
] | [
"Portuguese"
] | [
"English"
] | [
"Vagisha Gupta"
] | [{"input": "De Britse premier David Cameron noemt de TTIP een \u2018once in a generation prize\u2019 en wijst op de potentiele winst van 80 miljard pond (125,5 miljard dollar) voor zowel de EU en de VS en 85 miljard pond voor de rest van de wereld.", "output": "O Primeiro-Ministro brit\u00e2nico, David Cameron, designo... | [{"input": "Trans-Atlantische handel voor iedereen.", "output": "Com\u00e9rcio transatl\u00e2ntico para todos?", "explanation": "The translation is a question instead of the statement given in the input."}, {"input": "WASHINGTON, DC \u2013 De onderhandelingen om een \u2018Transatlantic Trade and Investment Partnership\... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1375 | https://huggingface.co/datasets/Lots-of-LoRAs/task1375_newscomm_translation | newscomm translation |
172 | task172_spl_translation_en_fa | The provided file includes inquiries about restaurants, and we ask you to translate those to the Farsi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquia... | [
"Translation"
] | [
"Public Places"
] | [
"semantic_parser_localizer"
] | [] | [
"English"
] | [
"Persian"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "are there any \" italian \" restaurants nearby with 1 star reviews ?", "output": "\u0622\u064a\u0627 \u0647\u064a\u0686 \u0631\u0633\u062a\u0648\u0631\u0627\u0646 \" italian \" \u062f\u0631 \u0627\u064a\u0646 \u0646\u0632\u062f\u064a\u06a9\u064a \u0628\u0627 \u0646\u0642\u062f \u0648 \u0628\u0631\u0631\u063... | [{"input": "where is the closest \" wendy 's \" ?", "output": "\u0646\u0632\u062f\u064a\u06a9\u200c\u062a\u0631\u064a\u0646 wendy 's \u06a9\u062c\u0627\u0633\u062a\u061f", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "show me the closest \" mcdonald 's \"", ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task172 | https://huggingface.co/datasets/Lots-of-LoRAs/task172_spl_translation_en_fa | spl translation en fa |
1336 | task1336_peixian_equity_evaluation_corpus_gender_classifier | You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female). | [
"Gender Classification"
] | [
"Commonsense",
"Dialogue",
"Narrative"
] | [
"equity_evaluation_corpus"
] | [
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Raakesh Sureshkumar"
] | [{"input": "Alonzo feels angry.", "output": "male", "explanation": "The gender of the person is correct and detected mainly based on the name Alonzo."}, {"input": "Darnell feels discouraged.", "output": "male", "explanation": "The gender of the person is correct and detected mainly based on the name Darnell."}, {"input... | [{"input": "The conversation with Nichelle was terrifying.", "output": "male", "explanation": "The prediction is wrong. The person is female here. The prediction needs to be based on the name \"Nichelle\"."}, {"input": "The conversation with my uncle was grim.", "output": "female", "explanation": "The prediction is wro... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1336 | https://huggingface.co/datasets/Lots-of-LoRAs/task1336_peixian_equity_evaluation_corpus_gender_classifier | peixian equity evaluation corpus gender classifier |
1559 | task1559_blimp_binary_classification | In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an adjunct island w... | [
"Linguistic Probing"
] | [
"Linguistics"
] | [
"blimp"
] | [
"Grammatical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Jonathan Reyes"
] | [{"input": "Who should the boss fire after seeing HR?", "output": "good", "explanation": "The sentence forms an adjunct island."}, {"input": "Who has the boss admired Jeff after scaring?", "output": "bad", "explanation": "The sentence does not form an adjunct island ."}, {"input": "What has the John concealed those pap... | [{"input": "Who was Jeff admiring Arnold after leaving?", "output": "good", "explanation": "The sentence is incorrectly classified. It does not form an adjunct island."}, {"input": "What had the boss looked like after seeing HR?", "output": "bad", "explanation": "The sentence is incorrectly classified. It forms an adju... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1559 | https://huggingface.co/datasets/Lots-of-LoRAs/task1559_blimp_binary_classification | blimp binary classification |
1577 | task1577_amazon_reviews_multi_japanese_language_classification | In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is Japanese or Non-Japanese | [
"Language Identification"
] | [
"Reviews"
] | [
"multilingual_amazon_reviews"
] | [] | [
"English",
"Japanese",
"German",
"French",
"Chinese",
"Spanish"
] | [
"English"
] | [
"English"
] | [
"Sai Pavan Kalyan Reddy Konda"
] | [{"input": "\u56de\u6301\u3061\u6b69\u3044\u305f\u5f8c\u3044\u3064\u3082\u901a\u308a\u30bc\u30f3\u30de\u30a4\u3092\u5dfb\u3044\u3066\u3044\u305f\u3089\u7a81\u7136\u7a7a\u56de \u308a\u3002 \u91dd\u306e\u8abf\u6574\u306f\u3067\u304d\u308b\u3051\u3069\u3001\u3064\u307e\u307f\u3092\u3042\u3052\u3066\u3082\u4e0b\u3052\u3066... | [{"input": "\u5b89\u304b\u308d\u3046\u60aa\u304b\u308d\u3046\u3067\u3059\u306d\u3002", "output": "Non-Japanese", "explanation": " This is an bad example because review is in Japanese language but the output is Non-Japanese"}, {"input": "\u671d\u8d77\u304d\u305f\u3089\u9854\u304c\u30ac\u30d3\u30ac\u30d3\u306b\u4e7e\u71e... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1577 | https://huggingface.co/datasets/Lots-of-LoRAs/task1577_amazon_reviews_multi_japanese_language_classification | amazon reviews multi japanese language classification |
785 | task785_pawsx_korean_spanish_translation | Given a sentence in Korean, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Korean"
] | [
"Spanish"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "1975 \ub144\ubd80\ud130 76 \ub144\uae4c\uc9c0 NBA \uc2dc\uc98c\uc740 \uc804\uad6d \ub18d\uad6c \ud611\ud68c (National Basketball Association)\uc758 30 \ubc88\uc9f8 \uc2dc\uc98c\uc774\uc5c8\ub2e4.", "output": "La temporada 1975 - 76 de la Asociaci\u00f3n Nacional de Baloncesto fue la temporada 30 de la NBA."... | [{"input": "1560 \ub144 10 \uc6d4 \ud30c\ub9ac\uc5d0\uc11c \uadf8\ub294 \ube44\ubc00\ub9ac\uc5d0 \uc601\uad6d \ub300\uc0ac \uc778 \ub2c8\ucf5c\ub77c\uc2a4 \ud2b8\ub85d \ubaa8\ud2bc\uc744 \ub9cc\ub0ac\uace0 \uc2a4\ucf54\ud2c0\ub79c\ub4dc\ub97c \ud1b5\ud574 \uc601\uad6d\uc73c\ub85c \ub3cc\uc544\uac08 \uc5ec\uad8c\uc744 \... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task785 | https://huggingface.co/datasets/Lots-of-LoRAs/task785_pawsx_korean_spanish_translation | pawsx korean spanish translation |
407 | task407_mickey_hi_sentence_perturbation_generation | Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | [
"Sentence Perturbation"
] | [
"Commonsense",
"Knowledge Base -> Wikidata"
] | [
"xcsr"
] | [] | [
"Hindi"
] | [
"Hindi"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "\u0906\u092a \u090f\u0915 \u091c\u0942\u0930\u0940 \u0928\u0939\u0940\u0902 \u0915\u0930\u0928\u093e \u091a\u093e\u0939\u0924\u0947 \u0939\u0948\u0902 \u0924\u094b \u0906\u092a \u090f\u0915 \u0935\u0915\u0940\u0932 \u092c\u0928\u0928\u093e \u091a\u093e\u0939\u093f\u090f.", "output": "\u0906\u092a \u090f\u09... | [{"input": "\u0938\u092d\u0940 \u0935\u093f\u0926\u0947\u0936\u0940 \u0915\u0940 \u0924\u0930\u0939, \u0935\u0947 \u0905\u092a\u0928\u0940 \u0906\u0901\u0916\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0926\u0947\u0916 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902.", "output": "\u0938\u092d\u0940 \u0915\u0940\u0921\u09... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task407 | https://huggingface.co/datasets/Lots-of-LoRAs/task407_mickey_hi_sentence_perturbation_generation | mickey hi sentence perturbation generation |
1727 | task1727_wiqa_what_is_the_effect | In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | [
"Question Answering"
] | [
"Natural Science"
] | [
"wiqa"
] | [
"Relational Reasoning",
"Deductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "Process: -Forest fires burn forests -The animals living in the forest have fewer places to hide -Predators can now find their prey eaiser -Birds will fly away from the area -Waters warm up which hurts the fish swimming in them.\n Question: What is the effect of people are less careful about putting out the... | [{"input": "Process: -An isotope has too many protons -The isotope is unstable -The isotope emits radiation -The isotope decays -The isotope loses some atomic particles -The isotope turns into a different element -The isotope is finished decaying and emitting radiation.\n Question: What is the effect of more exercise ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1727 | https://huggingface.co/datasets/Lots-of-LoRAs/task1727_wiqa_what_is_the_effect | wiqa what is the effect |
1494 | task1494_bengali_hate_speech_classification | In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and Persona... | [
"Text Categorization"
] | [
"Social Media",
"Dialogue"
] | [
"bengali_hate_speech_dataset"
] | [
"Reasoning on Social Interactions"
] | [
"Bengali"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "\u098f\u0987 \u09b8\u09b0\u0995\u09be\u09b0 \u0995\u09c7 \u09af\u09be\u09b0\u09be \u09a8\u09bf\u09b0\u09cd\u09b2\u099c\u09cd\u099c\u09c7\u09b0 \u09ae\u09a4 \u09b8\u09be\u09aa\u09cb\u09b0\u09cd\u099f \u09a6\u09bf\u09df\u09c7\u099b\u09c7 \u09ac\u099b\u09b0\u09c7\u09b0 \u09aa\u09b0 \u09ac\u099b\u09b0, \u09a4\u... | [{"input": "\u098f\u0987 \u09b8\u09b0\u0995\u09be\u09b0 \u0995\u09c7 \u09af\u09be\u09b0\u09be \u09a8\u09bf\u09b0\u09cd\u09b2\u099c\u09cd\u099c\u09c7\u09b0 \u09ae\u09a4 \u09b8\u09be\u09aa\u09cb\u09b0\u09cd\u099f \u09a6\u09bf\u09df\u09c7\u099b\u09c7 \u09ac\u099b\u09b0\u09c7\u09b0 \u09aa\u09b0 \u09ac\u099b\u09b0, \u09a4\u... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1494 | https://huggingface.co/datasets/Lots-of-LoRAs/task1494_bengali_hate_speech_classification | bengali hate speech classification |
655 | task655_bible_en_fa_translation | In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian. | [
"Translation"
] | [
"World Religions",
"Books"
] | [
"parsinlu"
] | [] | [
"English"
] | [
"Persian"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "In the beginning God created the heaven and the earth.", "output": "\u062f\u0631 \u0627\u0628\u062a\u062f\u0627\u060c \u062e\u062f\u0627 \u0622\u0633\u0645\u0627\u0646\u0647\u0627 \u0648 \u0632\u0645\u06cc\u0646 \u0631\u0627 \u0622\u0641\u0631\u06cc\u062f.", "explanation": "This is a good example. The above... | [{"input": "And God saw the light, that it was good: and God divided the light from the darkness.", "output": "\u0648 \u062e\u062f\u0627 \u0631\u0648\u0634\u0646\u0627\u06cc\u06cc \u0631\u0627 \u062f\u06cc\u062f \u06a9\u0647 \u0646\u06cc\u06a9\u0648\u0633\u062a.", "explanation": "This translation is incomplete. Hence i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task655 | https://huggingface.co/datasets/Lots-of-LoRAs/task655_bible_en_fa_translation | bible en fa translation |
023 | task023_cosmosqa_question_generation | Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | [
"Question Generation"
] | [
"Personal Narratives"
] | [
"cosmosqa"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Swaroop Mishra",
"Daniel Khashabi"
] | [{"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": "What may happen before I called them?", "explanation": "The question can not be answered directly from context and requires commonsense."}, {"input": "Context: I was told, in per... | [{"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": "What is on the way to my home?", "explanation": "It can be directly answered with a span of the context and does not require any commonsense reasoning."}, {"input": "Context: G... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task023 | https://huggingface.co/datasets/Lots-of-LoRAs/task023_cosmosqa_question_generation | cosmosqa question generation |
531 | task531_europarl_es_en_translation | In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name). | [
"Translation"
] | [
"Government and Politics"
] | [
"europarl"
] | [] | [
"Spanish"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "Est\u00e1, sin duda, dentro de la l\u00ednea de las posiciones que nuestro Parlamento siempre ha adoptado.", "output": "Indeed, it is quite in keeping with the positions this House has always adopted.", "explanation": "This English sentence is properly translated into Spanish because the English sentence al... | [{"input": "Le confieso que, de momento, las cosas me parecen un tanto confusas.", "output": "I admit that, at past, the matter seems to be somewhat confession.", "explanation": "The conversion of Spanish to English is wrong because confusas means confused not confession."}, {"input": "\u00bfPor qu\u00e9 tienen que ben... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task531 | https://huggingface.co/datasets/Lots-of-LoRAs/task531_europarl_es_en_translation | europarl es en translation |
440 | task440_eng_guj_parallel_corpus_gu-en_classification | In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". | [
"Text Matching"
] | [
"Captions -> Image Captions"
] | [
"eng_guj_parallel_corpus"
] | [] | [
"Gujarati",
"English"
] | [
"English"
] | [
"English"
] | [
"Mihir Parmar"
] | [{"input": "Gujarati: \u0a98\u0ac7\u0a9f\u0abe\u0a82\u0aa8\u0ac0 \u0a9f\u0acb\u0ab3\u0abe\u0a82 \u0a8f\u0a95 \u0a97\u0acb\u0a9a\u0ab0\u0aae\u0abe\u0a82 \u0a9a\u0ab0\u0abe\u0a88 \u0ab8\u0abe\u0aa5\u0ac7 \u0aae\u0ab3\u0ac0\u0aa8\u0ac7 \u0a8a\u0aad\u0abe \u0a9b\u0ac7. \n English: A herd of sheep standing together grazing ... | [{"input": "Gujarati: \u0a98\u0ac7\u0a9f\u0abe\u0a82\u0aa8\u0ac0 \u0a9f\u0acb\u0ab3\u0abe\u0a82 \u0a8f\u0a95 \u0a97\u0acb\u0a9a\u0ab0\u0aae\u0abe\u0a82 \u0a9a\u0ab0\u0abe\u0a88 \u0ab8\u0abe\u0aa5\u0ac7 \u0aae\u0ab3\u0ac0\u0aa8\u0ac7 \u0a8a\u0aad\u0abe \u0a9b\u0ac7. \n English: A herd of sheep standing together grazing ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task440 | https://huggingface.co/datasets/Lots-of-LoRAs/task440_eng_guj_parallel_corpus_gu-en_classification | eng guj parallel corpus gu-en classification |
909 | task909_dialogre_prevalent_speakers | You are given a dialog between 2 or more individuals. You need to generate the number of the speaker (e.g. 1 for Speaker 1) who had the most lines in the dialog. If there is a tie, output the answer '0'. | [
"Speaker Identification"
] | [
"Dialogue"
] | [
"dialogre"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Matthew Huff"
] | [{"input": "Speaker 1: What do you think we should do for our 10th wedding anniversary? \nSpeaker 2: Hm, how about we take a vacation? Somewhere sandy and warm. \nSpeaker 1: Well, if we're going to go out of the country, you need to be sure to renew your passport. It expired over a year ago! \nSpeaker 2: How about we g... | [{"input": "Speaker 1: Donna, do you want to go to the mall with me this weekend? \nSpeaker 2: Sure, I'd love to. I need to pick up some clothes and some school supplies. \nSpeaker 1: Great, I need to return some stuff I bought last weekend. We could get lunch at the food court and then make plans for the evening th... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task909 | https://huggingface.co/datasets/Lots-of-LoRAs/task909_dialogre_prevalent_speakers | dialogre prevalent speakers |
1344 | task1344_glue_entailment_classification | In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'. | [
"Textual Entailment"
] | [
"Books",
"Dialogue"
] | [
"rte"
] | [
"Textual Entailment -> Deductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arit Chanda"
] | [{"input": "Sentence 1: No Weapons of Mass Destruction Found in Iraq Yet. Sentence 2:Weapons of Mass Destruction Found in Iraq.", "output": "0", "explanation": "In our first statement we clearly say that Iraq does not have any weapon of mass destruction but the second sentence says that weapon of mass destruction is fo... | [{"input": "Sentence 1: Valero Energy Corp., on Monday, said it found \"extensive\" additional damage at its 250,000-barrel-per-day Port Arthur refinery. Sentence 2: Valero Energy Corp. produces 250,000 barrels per day.", "output": "0", "explanation": "The first statement mentions that there was damage found in the 250... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1344 | https://huggingface.co/datasets/Lots-of-LoRAs/task1344_glue_entailment_classification | glue entailment classification |
132 | task132_dais_text_modification | Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction. | [
"Paraphrasing"
] | [
"Commonsense"
] | [
"dais"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Bob took the woman from work a cake", "output": "Bob took a cake to the woman from work", "explanation": "Input and output sentences have same meaning but different grammatical construction."}, {"input": "Alice hurled a woman wearing a hat a necklace", "output": "Alice hurled a necklace to a woman wearing a... | [{"input": "Bob took the woman from work a cake", "output": "Bob took from a cake work to the woman", "explanation": "Output sentence is not grammatically accurate."}, {"input": "Maria remitted a man a percentage", "output": "Maria remitted a percentage to a woman", "explanation": "Output sentence changed man to woman ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task132 | https://huggingface.co/datasets/Lots-of-LoRAs/task132_dais_text_modification | dais text modification |
581 | task581_socialiqa_question_generation | In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations.. | [
"Question Generation"
] | [
"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 Answer: Find somewhere to go", "output": "What does Tracy need to do before this?", "explanation": "Tracy has to resist Riley's attack and the answer is she has to find somewhere to go so the question is what does she do before this... | [{"input": "Context: Tracy's kids wanted ice cream so Aubrey fed the kids ice cream. \n Answer: get ice cream", "output": "ice cream", "explanation": "The output supposed to be a Question."}, {"input": "Context: Kai improved Jan's picture and she loved how it came out. \n Answer: frame the picture", "output": "What wi... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task581 | https://huggingface.co/datasets/Lots-of-LoRAs/task581_socialiqa_question_generation | socialiqa question generation |
1236 | task1236_ted_translation_he_es | You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Hebrew"
] | [
"Spanish"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u05d0\u05d1\u05dc \u05d4\u05ea\u05d7\u05dc\u05e0\u05d5 \u05dc\u05de\u05de\u05e9 \u05d0\u05ea \u05d4\u05e8\u05e2\u05d9\u05d5\u05df \u05e9\u05dc \u05dc\u05dc\u05de\u05d3 \u05db\u05dc \u05d9\u05dc\u05d3 \u05d1\u05e0\u05e4\u05e8\u05d3.", "output": "Pero comenzamos con la idea de un ni\u00f1o por vez.", "explan... | [{"input": "\u05ea\u05d7\u05e9\u05d5\u05d1 \u05e2\u05dc \u05ea\u05e0\u05d5\u05e2\u05ea \u05d4\u05db\u05d9\u05d1\u05d5\u05e9 \u05e9\u05d4\u05e8\u05e2\u05d9\u05d3\u05d4 \u05d0\u05ea \u05d4\u05e2\u05d5\u05dc\u05dd \u05db\u05d5\u05dc\u05d5 \u05d1-2009.", "output": "Piensen en el movimiento Occupy que sacudi\u00f3 a todo el... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1236 | https://huggingface.co/datasets/Lots-of-LoRAs/task1236_ted_translation_he_es | ted translation he es |
452 | task452_opus_paracrawl_en_ig_translation | Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact | [
"Translation"
] | [
"Web"
] | [
"opus_paracrawl"
] | [] | [
"English"
] | [
"Igbo"
] | [
"English"
] | [
"Arut Selvan Dhanasekaran"
] | [{"input": "English sentence: How is this possible", "output": "Olee kwere omume?", "explanation": "The Igbo translation means the same as the original sentence in the English language."}, {"input": "English sentence: good morning everyone", "output": "ututu oma onye obula", "explanation": "The output is the exact Igbo... | [{"input": "English sentence: Yesterday, it was raining heavily", "output": "\u1ee4nyaah\u1ee5 b\u1ee5 mmiri ozuzo", "explanation": "The translation missed the adjectives present in the input sentence"}, {"input": "English sentence: Hope is not a good thing", "output": "Olileanya b\u1ee5 ihe d\u1ecb mma", "explanation"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task452 | https://huggingface.co/datasets/Lots-of-LoRAs/task452_opus_paracrawl_en_ig_translation | opus paracrawl en ig translation |
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