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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
493 | task493_review_polarity_classification | Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive. | [
"Sentiment Analysis"
] | [
"Reviews -> Electronics and Grocery"
] | [
"amazon_polarity"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Savan Doshi"
] | [{"input": "I've read this book with much expectation, it was very boring all through out the book", "output": "Negative", "explanation": "Review writer does not like the book because it was boring, therefore it is a negative review."}, {"input": "I believe I will be very happy with the camcorder. Its small,light and e... | [{"input": "It starts off a bit slow, but once the product placement jokes start it takes off.", "output": "Negative", "explanation": "This review is positive review since it says that after product placement joke it becomes interesting."}, {"input": "As good as this book may be, the print quality is so bad that I cann... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task493 | https://huggingface.co/datasets/Lots-of-LoRAs/task493_review_polarity_classification | review polarity classification |
342 | task342_winomt_classification_profession_pro | In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender. | [
"Gender Classification"
] | [
"Miscellaneous"
] | [
"winomt"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Sentence: The carpenter helped the housekeeper to fix the window as she knew nothing about those tools.\n Gender: female", "output": "Housekeeper", "explanation": "The housekeeper is a female because of the pronoun \"she\"."}, {"input": "Sentence: The manager asked for a new design from the tailor but he di... | [{"input": "Sentence: The tailor met the analyst at home and offered him a new design.\n Gender: male", "output": "Tailor", "explanation": "The tailor's gender is unknown. The analyst is a male because of the pronoun \"him\"."}, {"input": "Sentence: The sheriff asked the accountant many questions because she was suspec... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task342 | https://huggingface.co/datasets/Lots-of-LoRAs/task342_winomt_classification_profession_pro | winomt classification profession pro |
1193 | task1193_food_course_classification | In this task, you are given the name of an Indian food dish. You need to classify the dish as a "main course", "dessert" or "snack". | [
"Misc."
] | [
"Food"
] | [
"indian_food_101"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "Sev tameta", "explanation": "Sev tameta is a main course dish.", "output": "main course"}, {"input": "Uttapam", "explanation": "Uttapam is a snack dish.", "output": "snack"}] | [{"input": "Aloo gobi", "explanation": "Aloo gobi is not a snack dish.", "output": "snack"}, {"input": "Churma Ladoo", "explanation": "Churma Ladoo is not a main course dish.", "output": "main course"}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1193 | https://huggingface.co/datasets/Lots-of-LoRAs/task1193_food_course_classification | food course classification |
898 | task898_freebase_qa_answer_generation | Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts. | [
"Question Answering"
] | [
"Wikipedia"
] | [
"freebase_qa"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Karthik Murugesan"
] | [{"input": "Which writer rode Devon Loch in the 1956 Grand National?", "output": "dick francis", "explanation": "The answer is precise and accurately answers the question based on a fact. This is a good example"}, {"input": "The 1950 FIFA World Cup was held in which country?", "output": "brazil", "explanation": "The 19... | [{"input": "In which US town or city were the 1932 Winter Olympics held?", "output": "The 1932 Winter Olympics was hosted at Lake Placid.", "explanation": "Even though the answer is correct, it is described in a sentence. So this is a bad example."}, {"input": "Who directed the 2010 film 127 Hours?", "output": "James C... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task898 | https://huggingface.co/datasets/Lots-of-LoRAs/task898_freebase_qa_answer_generation | freebase qa answer generation |
1314 | task1314_country_abbreviation | In this task, you are given a country name and you need to return the abbrevation name of the given country. | [
"Misc."
] | [
"Countries"
] | [
"country_abbreviation_dataset"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sumanta Patro"
] | [{"input": "Afghanistan", "output": "AF", "explanation": "AF is the abbrevation name of the country called Afghanistan."}, {"input": "Aruba", "output": "AW", "explanation": "AW is the abbrevation name of the country called Aruba."}] | [{"input": "Italy", "output": "KE", "explanation": "KE is not the abbrevation name of the country called Italy. However, IT is the abbrevation name of the country called Italy."}, {"input": "Mexico", "output": "ML", "explanation": "ML is not the abbrevation name of the country called Mexico. However, MX is the abbrevat... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1314 | https://huggingface.co/datasets/Lots-of-LoRAs/task1314_country_abbreviation | country abbreviation |
426 | task426_hindienglish_corpora_hi-en_classification | In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in se... | [
"Text Matching"
] | [
"News",
"TED Talks",
"Wikipedia"
] | [
"hindienglish_corpora"
] | [] | [
"Hindi",
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Hindi: \u092a\u0939\u0932\u0947 \u0926\u094b \u0915\u094b \u0905\u0935\u093f\u0936\u094d\u0935\u0938\u0928\u0940\u092f \u092e\u093e\u0928\u0915\u0930 \u092c\u093e\u0915\u0940 \u092a\u093e\u0902\u091a \u092e\u0941\u0916\u092c\u093f\u0930\u094b\u0902 \u0915\u0947 \u0906\u0927\u093e\u0930 \u092a\u0930 \u092e\u... | [{"input": "Hindi: \u092a\u0939\u0932\u0947 \u0926\u094b \u0915\u094b \u0905\u0935\u093f\u0936\u094d\u0935\u0938\u0928\u0940\u092f \u092e\u093e\u0928\u0915\u0930 \u092c\u093e\u0915\u0940 \u092a\u093e\u0902\u091a \u092e\u0941\u0916\u092c\u093f\u0930\u094b\u0902 \u0915\u0947 \u0906\u0927\u093e\u0930 \u092a\u0930 \u092e\u... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task426 | https://huggingface.co/datasets/Lots-of-LoRAs/task426_hindienglish_corpora_hi-en_classification | hindienglish corpora hi-en classification |
1677 | task1677_xquad-ca_translation | The goal of this task is to translate questions in English into Catalan. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question | [
"Translation"
] | [
"Wikipedia"
] | [
"xquad"
] | [] | [
"English"
] | [
"Catalan"
] | [
"English"
] | [
"Adheesh Wadkar"
] | [{"input": "How many points did the Panthers defense surrender?", "output": "Quants punts va cedir la defensa dels Panthers?", "explanation": "This is a good translation, because the translation conveys the same meaning and is not ambiguous."}, {"input": "How many career sacks did Jared Allen have?", "output": "Quants ... | [{"input": "How many tackles did Luke Kuechly register?", "output": "Quantes intercepcions s\u2019acrediten a la defensa dels Panthers el 2015?", "explanation": "This is a bad translation, because the translation does not have the same meaning. The translation should be \"Quants placatges va registrar Luke Kuechly?\""}... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1677 | https://huggingface.co/datasets/Lots-of-LoRAs/task1677_xquad-ca_translation | xquad-ca translation |
559 | task559_alt_translation_en_fi | In this task, given a sentence in the English language, your task is to convert it into the Filipino language. | [
"Translation"
] | [
"News"
] | [
"asian_language_treebank"
] | [] | [
"English"
] | [
"Filipino"
] | [
"English"
] | [
"Phani Rohitha Kaza"
] | [{"input": "According to Assistant Secretary of State, Sean McCormack, at least one breach occurred during a training session, with a contract employee brought in to deal with a large backlog of passport applications.", "output": "Ayon sa Assistant Secretary of State, Sean McCormack, hindi bababa sa isang paglabag ang ... | [{"input": "Although she also expressed hope that \"today's decision closes a dark chapter in Microsoft's record of non-compliance with the Commission\".", "output": "Ang nag habla laban sa Amazon.com ay sumang-ayon sa mungkahing sa ika-25 ng Setyembre ay aayusing reresolbahin ang gusot sa di makatarungang pagbura ng A... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task559 | https://huggingface.co/datasets/Lots-of-LoRAs/task559_alt_translation_en_fi | alt translation en fi |
299 | task299_storycloze_sentence_generation | In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the nu... | [
"Text Completion"
] | [
"Story"
] | [
"roc_stories"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: He is happy now.", "output": "4, The incident caused him to turn a new leaf.", "explanation": "As mentioned in fourt... | [{"input": "Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: He is happy now.", "output": "The incident caused him to turn a new leaf.", "explanation": "The output should also p... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task299 | https://huggingface.co/datasets/Lots-of-LoRAs/task299_storycloze_sentence_generation | storycloze sentence generation |
657 | task657_quran_fa_en_translation | In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English. | [
"Translation"
] | [
"World Religions",
"Books"
] | [
"parsinlu"
] | [] | [
"Persian"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "\u0648 \u0647\u0645\u0627\u0646 \u06a9\u0633\u0649 \u06a9\u0647 \u062c\u0641\u062a\u0647\u0627 \u0631\u0627 \u06cc\u06a9\u0633\u0631\u0647 \u0622\u0641\u0631\u06cc\u062f\u060c \u0648 \u0628\u0631\u0627\u0649 \u0634\u0645\u0627 \u0627\u0632 \u06a9\u0634\u062a\u06cc\u0647\u0627 \u0648 \u062f\u0627\u0645\u0647... | [{"input": "\u0646\u0647 \u062e\u0648\u0631\u0634\u06cc\u062f \u0631\u0627 \u0633\u0632\u062f \u06a9\u0647 \u0628\u0647 \u0645\u0627\u0647 \u0631\u0633\u062f\u060c \u0648 \u0646\u0647 \u0634\u0628 \u0628\u0631 \u0631\u0648\u0632 \u067e\u06cc\u0634\u0649 \u062c\u0648\u06cc\u062f\u060c \u0648 \u0647\u0631 \u06a9\u062f\u0... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task657 | https://huggingface.co/datasets/Lots-of-LoRAs/task657_quran_fa_en_translation | quran fa en translation |
1264 | task1264_ted_translation_pl_pt | You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Polish"
] | [
"Portuguese"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Media \u0142\u0105czy\u0142y si\u0119 z nami.", "output": "Os \"\" media \"\" interligavam-se connosco.", "explanation": "The Polish sentence is correctly translated into Portugese, because the meaning is preserved."}, {"input": "Ludzie, kt\u00f3rzy byli pocz\u0105tkowo my\u015bliwymi-zbieraczami, chcieli b... | [{"input": "Zapyta\u0142em ich, co z tym robi\u0105? Zapyta\u0142em ich, co z tym robi\u0105?", "output": "\u00c0s vezes tem de ser.", "explanation": "The Polish sentence is not correctly translated into Portugese, because the meaning is different."}, {"input": "Mo\u017ce nie na tablicy, ale w New Yorkerze tak. Jeden d... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1264 | https://huggingface.co/datasets/Lots-of-LoRAs/task1264_ted_translation_pl_pt | ted translation pl pt |
1061 | task1061_pib_translation_bengali_marathi | A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence. | [
"Translation"
] | [
"Sociology",
"News"
] | [
"pib"
] | [] | [
"Bengali"
] | [
"Marathi"
] | [
"English"
] | [
"Krima Doshi",
"Swaroop"
] | [{"input": "\u09b8\u09cd\u09a4\u09a8\u09cd\u09af\u09aa\u09be\u09a8 \u09b8\u09ae\u09cd\u09aa\u09b0\u09cd\u0995\u09c7 \u0985\u09ad\u09bf\u09ad\u09be\u09ac\u0995\u09a6\u09c7\u09b0 \u09b8\u099a\u09c7\u09a4\u09a8 \u0993 \u0989\u09ce\u09b8\u09be\u09b9\u09a6\u09be\u09a8\u09c7 \u0997\u09c1\u09b0\u09c1\u09a4\u09cd\u09ac \u09ac\... | [{"input": "\u098f\u0987 \u09a6\u09c7\u09b6\u09c7\u09b0 \u09aa\u09cd\u09b0\u09a4\u09cd\u09af\u09c7\u0995\u099f\u09bf \u0985\u0982\u09b6 \u09af\u09c1\u0995\u09cd\u09a4 \u0986\u099b\u09c7 \u0995\u09cb\u09a8\u09cb \u09ae\u09b9\u09be\u09aa\u09c1\u09b0\u09c1\u09b7, \u0995\u09cb\u09a8\u09cb \u0995\u09bf\u0982\u09ac\u09a6\u09... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1061 | https://huggingface.co/datasets/Lots-of-LoRAs/task1061_pib_translation_bengali_marathi | pib translation bengali marathi |
1340 | task1340_msr_text_compression_compression | Given a text, write a compressed version of it in a single sentence. | [
"Sentence Compression"
] | [
"News",
"Dialogue",
"Miscellaneous"
] | [
"msr_text_compression"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Vinayak Kothari"
] | [{"input": "Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, \" says APA president Philip G. Zimbardo of Stanford University.", "output": "\"Except for this small vocal minority, we have not gotten a lot of groundswell against this,\" says APA president Zimba... | [{"input": "Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, \" says APA president Philip G. Zimbardo of Stanford University.", "output": "APA president Philip G. Zimbardo of Stanford says they have not had much opposition against this.", "explanation": "Text... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1340 | https://huggingface.co/datasets/Lots-of-LoRAs/task1340_msr_text_compression_compression | msr text compression compression |
150 | task150_afs_argument_quality_gun_control | We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gun control. An ... | [
"Text Matching"
] | [
"Government and Politics"
] | [
"afs"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Siyi Liu"
] | [{"input": "If gun bans worked there would be no gun deaths in the countries that have banned guns.", "output": "Valid", "explanation": "It is an argument that claims that gun bans will not work."}, {"input": "guys from Australia or the Englanders that are as vehement as you seem to be", "output": "Invalid", "explanati... | [{"input": "In sum, I think it makes more sense that the second amendment applies to right to form a militia, and even when interpreted as an individual right, doesn't appear to prohibit any regulation.", "output": "Invalid", "explanation": "The answer should be Valid instead since it is an argument that rejects gun co... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task150 | https://huggingface.co/datasets/Lots-of-LoRAs/task150_afs_argument_quality_gun_control | afs argument quality gun control |
1009 | task1009_pib_translation_bengali_hindi | A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence. | [
"Translation"
] | [
"Sociology",
"News"
] | [
"pib"
] | [] | [
"Bengali"
] | [
"Hindi"
] | [
"English"
] | [
"Krima Doshi",
"Swaroop"
] | [{"input": "\u0987\u0982\u09b0\u09c7\u099c\u09bf\u09a4\u09c7\u0993 \u09b8\u09ac\u09be\u0987 \u09ac\u09b2\u09c7\u09a8 \u2013 \u09aa\u09c7\u09b8\u09bf\u09ae\u09bf\u099c\u09cd\u200c\u09ae \u09b2\u09c0\u09a1\u09cd\u200c\u09b8 \u099f\u09c1 \u0989\u0987\u0995\u09cd\u200c\u09a8\u09c7\u09b8\u09cd\u200c, \u0985\u09aa\u09cd\u200... | [{"input": "\u09a4\u09aa\u09b6\u09bf\u09b2\u09bf \u099c\u09be\u09a4\u09bf \u0993 \u0989\u09aa\u099c\u09be\u09a4\u09bf\u09ad\u09c1\u0995\u09cd\u09a4 \u09a8\u09be\u0997\u09b0\u09bf\u0995\u09a6\u09c7\u09b0 \u098f\u0995\u09cd\u09b7\u09c7\u09a4\u09cd\u09b0\u09c7 \u0985\u0982\u09b6\u0997\u09cd\u09b0\u09b9\u09a3 \u0986\u09b0\... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1009 | https://huggingface.co/datasets/Lots-of-LoRAs/task1009_pib_translation_bengali_hindi | pib translation bengali hindi |
483 | task483_cls_french_dvd_classification | In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative. | [
"Sentiment Analysis"
] | [
"Reviews -> Electronics and Grocery"
] | [
"cls"
] | [] | [
"French"
] | [
"English"
] | [
"English"
] | [
"Giannis Karamanolakis"
] | [{"input": "Un film rafraichissant . Ce film est un film a part dans la carri\u00e9re de john wayne . C'est un film moins guerrier que la plupart de ses films de western etc c'est presque un film \u00e9cologique . il raconte le quotidien d'un chasseur de bisons et de son \u00e9quipe . c'est un film frais simple distray... | [{"input": "commercialisation . que se passe -t-il ? Spiderman est pris dans sa toile ? Les d\u00e9lais de livraison sont beaucoup trop longs. 1 mois d'attente deja. Faute a qui ? TF1 ? heureusement qu'Amazon g\u00e8re bien de telles situations.", "output": "POS", "explanation": "Although the sentiment of the review ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task483 | https://huggingface.co/datasets/Lots-of-LoRAs/task483_cls_french_dvd_classification | cls french dvd classification |
1144 | task1144_xcsr_sw_commonsense_mc_classification | In this task, you will be presented with a question having multiple possible answers in Swahili 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"
] | [
"Swahili"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Question: Meja Tom alitaka kuhifadhi silaha. Kama hatari kama wao, alihisi kuwa wangeweza kuwa na nini baadaye? \n Options: (A) taka (B) mitaani (C) uharibifu (D) kuoza (E) tumia ", "output": "E", "explanation": "One preserves something mainly if he/she thinks that it might be useful in the future. Hence, t... | [{"input": "Question: Kibanda cha tiketi kiliwajulisha wapanda farasi kuwa gari moshi lilikuwa likichelewa, kwa hivyo kibanda cha tiketi kilikuwa wapi? \n Options: (A) ukumbi wa sinema (B) uwanja wa michezo (C) kituo cha metro (D) shule (E) ukumbi ", "output": "D", "explanation": "This is incorrect answer. Because the ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1144 | https://huggingface.co/datasets/Lots-of-LoRAs/task1144_xcsr_sw_commonsense_mc_classification | xcsr sw commonsense mc classification |
798 | task798_pawsx_spanish_german_translation | Given a sentence in Spanish, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Spanish"
] | [
"German"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "La temporada de la NBA de 1975: 76 fue la 30\u00aa temporada de la National Basketball Association.", "output": "Die Saison 1975 - 76 der National Basketball Association war die 30. Saison der NBA.", "explanation": "This is a correct and accurate translation from Spanish to German because the translated par... | [{"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": "Im Oktober 1560 traf er sich heimlich mit dem englischen Botschafter Nicolas Throckmorton in Paris u... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task798 | https://huggingface.co/datasets/Lots-of-LoRAs/task798_pawsx_spanish_german_translation | pawsx spanish german translation |
1215 | task1215_atomic_classification_capableof | In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | [
"Commonsense Classification"
] | [
"Sociology",
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"atomic"
] | [
"Relational Reasoning",
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations",
"Reasoning on Objects"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Head: chicken<sep>Tail: lay eggs", "output": "Yes", "explanation": "This is a good example. The Head is capable of the Tail."}, {"input": "Head: PersonX accomplishes PersonY's work<sep>Tail: satisfied", "output": "No", "explanation": "In this example, being capable of satisfied doesn't make sense. So the ou... | [{"input": "Head: PersonX achieves PersonY end<sep>Tail: to be alone", "output": "Yes", "explanation": "In this example, PersonX achieves PersonY end is/are capable of being alone doesn't make sense. So the output should be \"No\"."}, {"input": "Head: scientist<sep>Tail: discover new", "output": "No", "explanation": "T... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1215 | https://huggingface.co/datasets/Lots-of-LoRAs/task1215_atomic_classification_capableof | atomic classification capableof |
776 | task776_pawsx_japanese_text_modification | Given a sentence in Japanese, provide an equivalent paraphrased version from the original that retains the same meaning. | [
"Paraphrasing"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Japanese"
] | [
"Japanese"
] | [
"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": "1975 - 76\u5e74\u306e\u5168\u7c73\u30d0\u30b9\u30b1\u30c3\u30c8\u30dc\u30fc\u30eb\u5... | [{"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-task776 | https://huggingface.co/datasets/Lots-of-LoRAs/task776_pawsx_japanese_text_modification | pawsx japanese text modification |
1360 | task1360_numer_sense_multiple_choice_qa_generation | Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd'). | [
"Fill in The Blank"
] | [
"Commonsense -> Concepts and Relations",
"Animals"
] | [
"numersense"
] | [
"Commonsense Reasoning -> Numerical Commonsense Reasoning",
"Numerical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Krishna Sree G"
] | [{"input": "Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more. \\Question: Choose the right answer from the options given a) five b) zero c) seven d) ten", "output": "d", "explanation": "Snakes give birth to minimum ten young ones so ten is a correct answer."}, {"input": "La... | [{"input": "Nothing can move faster than light in either the ____ spatial dimensions or time. \\Question: Choose the right answer from the options given a) five b) two c) four d) nine", "output": "a", "explanation": "In this world we have only three dimensions so five is a wrong answer."}, {"input": "Oxygen atoms can h... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1360 | https://huggingface.co/datasets/Lots-of-LoRAs/task1360_numer_sense_multiple_choice_qa_generation | numer sense multiple choice qa generation |
1102 | task1102_ted_translation_es_pl | You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Spanish"
] | [
"Polish"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Brindo soluciones. Estoy muy feliz.", "output": "Udost\u0119pniam rozwi\u0105zanie. Jestem bardzo szcz\u0119\u015bliwy.", "explanation": "The Spanish sentence is correctly translated into Polish, because the meaning is preserved."}, {"input": "Y cuando vinieron lo saquearon todo.", "output": "Kiedy przybyli... | [{"input": "Y yo me lo pon\u00eda cada vez que pod\u00eda, pensando que era lo m\u00e1s fabuloso que pose\u00eda.", "output": "Zadzwoni\u0142em do moich przyjaci\u00f3\u0142, malowa\u0142em na ich cia\u0142ach i poprosi\u0142em ich o to, by ta\u0144czyli przed jednym z obraz\u00f3w.", "explanation": "The Spanish senten... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1102 | https://huggingface.co/datasets/Lots-of-LoRAs/task1102_ted_translation_es_pl | ted translation es pl |
1371 | task1371_newscomm_translation | This task is to translate a news commentary given in English language into French 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"
] | [] | [
"English"
] | [
"French"
] | [
"English"
] | [
"Vagisha Gupta"
] | [{"input": "Since their articles appeared, the price of gold has moved up still further. Gold prices even hit a record-high $1,300 recently.", "output": "Depuis la parution de leurs articles, le cours de l\u2019or a encore grimp\u00e9, pour atteindre r\u00e9cemment un plus haut historique de 1300 dollars l\u2019once.",... | [{"input": "So what could justify another huge increase in gold prices from here?", "output": "L'\u00e9norme augmentation des prix de l'or est justifi\u00e9e.", "explanation": "The given translation is not correct as the input is asking the reason that could justify another huge increase in gold prices but the output i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1371 | https://huggingface.co/datasets/Lots-of-LoRAs/task1371_newscomm_translation | newscomm translation |
1619 | task1619_menyo20k-mt_en_yo_translation | In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output ... | [
"Translation"
] | [
"News",
"TED Talks",
"Captions -> Video Captions",
"Natural Science"
] | [
"menyo20k_mt"
] | [] | [
"English"
] | [
"Yoruba"
] | [
"English"
] | [
"Krishna Kesani"
] | [{"input": "That is what?", "output": "K\u00ed n\u00ecy\u1eb9n?", "explanation": "The English sentence is properly translated to the Yoruba language as both the sentences convey the same meaning and both the sentences are in sentence case and it includes punctuation marks as well."}, {"input": "In June there were 71 ra... | [{"input": "On September 7, 2019, the storm caused hurricane-force winds in Nova Scotia, Canada.", "output": "n\u00ed september 7, 2019, \u00ecj\u00ec n\u00e1\u00e0 fa \u1eb9\u0300f\u00fa\u00f9f\u00f9 l\u00edle gan an n\u00edl\u00f9\u00fa Nova Scotia n\u00ed or\u00edl\u1eb9\u0300 \u00e8d\u00e8 K\u00e1n\u00e1d\u00e0.", ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1619 | https://huggingface.co/datasets/Lots-of-LoRAs/task1619_menyo20k-mt_en_yo_translation | menyo20k-mt en yo translation |
1118 | task1118_alt_ja_fil_translation | Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is. | [
"Translation"
] | [
"News"
] | [
"asian_language_treebank"
] | [] | [
"Japanese"
] | [
"Filipino"
] | [
"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": "Hind... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1118 | https://huggingface.co/datasets/Lots-of-LoRAs/task1118_alt_ja_fil_translation | alt ja fil translation |
1103 | task1103_ted_translation_es_fa | You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Spanish"
] | [
"Persian"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Bueno, yo digo nada, pero en realidad hay una unidad de investigaci\u00f3n muy, muy peque\u00f1a en Tur\u00edn, Italia, llamada Proyecto de Perfiles de Hackers.", "output": "\u062e\u0648\u0628 \u060c \u0645\u0646 \u0686\u06cc\u0632\u06cc \u0646\u0645\u06cc\u06af\u0645 \u060c \u0627\u0645\u0627 \u062f\u0631 ... | [{"input": "Y ella no sabe cu\u00e1ndo habr\u00e1 de nuevo.", "output": "\u0628\u0647 \u0635\u0648\u0631\u062a \u06a9\u0644\u06cc \u060c \u0627\u06cc\u0646 \u06cc\u06a9 \u0627\u0646\u062a\u062e\u0627\u0628 \u0628\u06cc\u0646 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u00ab \u0628\u0631\u0627\u062f\u0631 \u0628... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1103 | https://huggingface.co/datasets/Lots-of-LoRAs/task1103_ted_translation_es_fa | ted translation es fa |
254 | task254_spl_translation_fi_en | The provided file includes inquiries about restaurants in Finnish, 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"
] | [] | [
"Finnish"
] | [
"English"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "l\u00f6ytyyk\u00f6 l\u00e4helt\u00e4ni yht\u00e4\u00e4n \" italian \" ravintolaa joka on saanut v\u00e4hint\u00e4\u00e4n 1 t\u00e4hden arvioita?", "output": "are there any \" italian \" restaurants nearby with 1 star reviews ?", "explanation": "The translation correctly preserves \" italian \" entity and is... | [{"input": "miss\u00e4 on l\u00e4hin \" wendy 's \" ?", "output": "where is the closest wendy 's ?", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "n\u00e4yt\u00e4 minulle l\u00e4hin \" mcdonald 's \"", "output": "show me the closest \" McDonald's \"", "expla... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task254 | https://huggingface.co/datasets/Lots-of-LoRAs/task254_spl_translation_fi_en | spl translation fi en |
1097 | task1097_ted_translation_ja_pl | You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Japanese"
] | [
"Polish"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u5168\u3066\u808b\u9aa8\u306e\u9593\u304b\u3089\u884c\u3046\u306e\u3067\u3059", "output": "Wszystko jest robione pomi\u0119dzy \u017cebrami.", "explanation": "The Japanese sentence is correctly translated into Polish, because the meaning is preserved."}, {"input": "\u3053\u306e\u7279\u8a31\u3092\u6301\u306... | [{"input": "\u79c1\u305f\u3061\u306f\u5730\u7403\u4e0a\u306e\u6de1\u6c34\u306e50% \u3092\u3059\u3067\u306b\u4f7f\u7528\u3057\u3066\u3044\u3066\u8fb2\u696d\u306f\u305d\u306e\u3046\u3061\u306e 70% \u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059", "output": "Nie wiem, sk\u0105d si\u0119 bierze.", "explanation": "The Japa... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1097 | https://huggingface.co/datasets/Lots-of-LoRAs/task1097_ted_translation_ja_pl | ted translation ja pl |
1488 | task1488_sarcasmdetection_headline_classification | In this task, you are given a news headline in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or to show irritation, or ... | [
"Text Categorization"
] | [
"News"
] | [
"news_headlines_dataset_for_sarcasm_detection"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "I work 40 hours a week for me to be this poor.", "output": "sarcastic", "explanation": "Here, the person means to say that even after working 40 hours a week, he is still poor. Thus it actually contradicts to what he says."}, {"input": "5 ways to file your taxes with less stress", "output": "non-sarcastic",... | [{"input": "I\u2019m not saying I hate you, what I\u2019m saying is that you are literally the Monday of my life", "output": "Cool", "explanation": "You are expected to return \"sarcastic\" or \"non-sarcastic\". This should be classified as sarcastic as Monday, being the first working day of the week, is pretty stressf... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1488 | https://huggingface.co/datasets/Lots-of-LoRAs/task1488_sarcasmdetection_headline_classification | sarcasmdetection headline classification |
658 | task658_tep_en_fa_translation | In this task, you are given a sentence in English, and your task is to translate it into Persian. | [
"Translation"
] | [
"Miscellaneous"
] | [
"parsinlu"
] | [] | [
"English"
] | [
"Persian"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "not just the words . and thats where a great film editor can help a director .", "output": "\u0641\u0642\u0637 \u06a9\u0644\u0645\u0627\u062a \u0646\u064a\u0633\u062a\u0646\u061b \u064a\u06a9 \u062a\u062f\u0648\u064a\u0646\u06af\u0631 \u062e\u0648\u0628 \u062e\u064a\u0644\u064a \u0628\u0647 \u06a9\u0627\u06... | [{"input": "cherish your life is the concept that this whole clinic was built on .", "output": "\u0645\u0641\u0647\u0648\u0645\u064a \u0627\u0633\u062a \u06a9\u0647 \u062a\u0645\u0627\u0645 \u06a9\u0644\u064a\u0646\u064a\u06a9\u0647\u0627 \u0628\u0631 \u0622\u0646 \u0627\u0633\u0627\u0633 \u060c \u0628\u0646\u0627 \u06... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task658 | https://huggingface.co/datasets/Lots-of-LoRAs/task658_tep_en_fa_translation | tep en fa translation |
1251 | task1251_ted_translation_it_he | You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Italian"
] | [
"Hebrew"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\"\" Nessun uomo \u00e8 un'isola completamente a s\u00e9.", "output": "\"\" \u05d0\u05e3 \u05d0\u05d3\u05dd \u05d0\u05d9\u05e0\u05d5 \u05d0\u05d9 \u05d4\u05e2\u05d5\u05de\u05d3 \u05d1\u05e4\u05e0\u05d9 \u05e2\u05e6\u05de\u05d5.", "explanation": "The Italian sentence is correctly translated into Hebrew, beca... | [{"input": "Ma credo che sia una tragedia quando uno di loro non vede l'altro.", "output": "\u05d4\u05d9\u05d5\u05dd \u05d4\u05d9\u05d0 \u05db\u05d1\u05e8 \u05dc\u05d0 \u05de\u05d0\u05d5\u05d1\u05d8\u05d7\u05ea.", "explanation": "The Italian sentence is not correctly translated into Hebrew, because the meaning is diffe... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1251 | https://huggingface.co/datasets/Lots-of-LoRAs/task1251_ted_translation_it_he | ted translation it he |
117 | task117_spl_translation_en_de | The provided file includes inquiries about restaurants, and we ask you to translate those to the German 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"
] | [
"German"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "are there any \" italian \" restaurants nearby with 8 star reviews ?", "output": "gibt es hier in der n\u00e4he \" italian \" restaurants mit 8-sterne-bewertungen?", "explanation": "The translation correctly preserves \" italian \" entity and is accurate"}, {"input": "what kind of food does this restaurant ... | [{"input": "where is the closest \" wendy 's \" ?", "output": "wo ist das n\u00e4chste wendy 's?", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "show me the closest \" mcdonald 's \"", "output": "Zeige mir den n\u00e4chsten \" Mcdonald 's \".", "explanation"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task117 | https://huggingface.co/datasets/Lots-of-LoRAs/task117_spl_translation_en_de | spl translation en de |
315 | task315_europarl_sv-en_language_identification | In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time. | [
"Text Matching"
] | [
"Government and Politics"
] | [
"europarl"
] | [] | [
"Swedish",
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Jag f\u00f6rklarar debatten avslutad.", "output": "Swedish", "explanation": "Input sentence is in Swedish language."}, {"input": "Tack s\u00e5 mycket, fru kommission\u00e4r.", "output": "Swedish", "explanation": "Input sentence is in Swedish language."}, {"input": "Furthermore, Amendment No 43 does not fall... | [{"input": "Jag f\u00f6rklarar debatten avslutad.", "output": "Cannot identify the language.", "explanation": "Answer should be Swedish or English."}, {"input": "Tack s\u00e5 mycket, fru kommission\u00e4r.", "output": "French", "explanation": "Language of input sentence can either be Swedish or english; so, answer shou... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task315 | https://huggingface.co/datasets/Lots-of-LoRAs/task315_europarl_sv-en_language_identification | europarl sv-en language identification |
090 | task090_equation_learner_algebra | A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its ... | [
"Mathematics"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Algebra"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Neeraj Varshney"
] | [{"input": "x = 3, equation weights = [4, 2]", "output": "14", "explanation": "Here, the weights represent the polynomial: 4x + 2, so we should multiply 4 by 3, and add it to 2 which results in (4*3 + 2 =) 14."}, {"input": "x = 2, equation weights = [3, 2, 4]", "output": "20", "explanation": "Here, the weights represen... | [{"input": "x = 4, equation weights = [5, 1]", "output": "19", "explanation": "Here, the answer should have been 21 as 5*4 + 1 = 21 instead of 19."}, {"input": "x=5, equation weights = [1,3]", "output": "16", "explanation": "Pay attention to the order of the weights. Here, if we mistakenly create the polynomial as 3x +... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task090 | https://huggingface.co/datasets/Lots-of-LoRAs/task090_equation_learner_algebra | equation learner algebra |
392 | task392_inverse_causal_relationship | In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "not plausible". | [
"Cause Effect Classification"
] | [
"Commonsense"
] | [
"cod3s"
] | [
"Causal Reasoning",
"Textual Entailment"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "The woman went to the bank because pigs can fly.", "output": "not plausible", "explanation": "Clearly, there can't be a causation relationship between someone going to the bank and pigs flying."}, {"input": "The women went to the bank because she didn't have enough cash on hand", "output": "plausible", "exp... | [{"input": "The woman went to see a lawyer because she was getting a divorce.", "output": "not plausible", "explanation": "Willing to get a divorce can be a valid cause to see a lawyer, so the correct answer is plausible."}, {"input": "a crater formed on the moon because it had to be", "output": "plausible", "explanati... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task392 | https://huggingface.co/datasets/Lots-of-LoRAs/task392_inverse_causal_relationship | inverse causal relationship |
173 | task173_spl_translation_en_it | The provided file includes inquiries about restaurants, and we ask you to translate those to the Italian 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 colloqu... | [
"Translation"
] | [
"Public Places"
] | [
"semantic_parser_localizer"
] | [] | [
"English"
] | [
"Italian"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "are there any \" italian \" restaurants nearby with 6 star reviews ?", "output": "ci sono ristoranti \" italian \" nelle vicinanze con valutazioni di 6 stelle?", "explanation": "The translation correctly preserves \" italian \" entity and is accurate"}, {"input": "what kind of food does this restaurant serv... | [{"input": "where is the closest \" wendy 's \" ?", "output": "dov'\u00e8 il wendy 's pi\u00f9 vicino?", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "show me the closest \" mcdonald 's \"", "output": "mostrami il \" McDonald's \" pi\u00f9 vicino", "explanat... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task173 | https://huggingface.co/datasets/Lots-of-LoRAs/task173_spl_translation_en_it | spl translation en it |
1395 | task1395_europa_ecdc_tm_en_sv_translation | In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish. | [
"Translation"
] | [
"Healthcare",
"Professions"
] | [
"europa_ecdc_tm"
] | [] | [
"English"
] | [
"Swedish"
] | [
"English"
] | [
"Wen-Jui Mao"
] | [{"input": "The 3 week course is structured around main pillars:", "output": "Treveckorskursen \u00e4r uppbyggd kring tre pelare:", "explanation": "The translation is correct"}, {"input": "ECDC has participated in major exercises organized by the Commission as \u201cNew Watchman\u201d and \u201cCommon Ground\u201d in 2... | [{"input": "Hemorrhagic Fevers", "output": "TALH\u00c5LL DIG UPPDATERADFOTON P\u00c5 DIREKT\u00d6REN", "explanation": "The translation is incorrect."}, {"input": "Read more about haemophilus influenzae infection in the factsheet for general public and factsheet for health professionals .", "output": "En savoir plu... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1395 | https://huggingface.co/datasets/Lots-of-LoRAs/task1395_europa_ecdc_tm_en_sv_translation | europa ecdc tm en sv translation |
446 | task446_opus_paracrawl_en_so_translation | Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact | [
"Translation"
] | [
"Web"
] | [
"opus_paracrawl"
] | [] | [
"English"
] | [
"Somali"
] | [
"English"
] | [
"Arut Selvan Dhanasekaran"
] | [{"input": "English sentence: Lionel Messi is the greatest football player of all time", "output": "Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid", "explanation": "The output exactly translates the sentence to it's somali equivalent. Even though the phrase 'greatest player of all times' is translated to 'g... | [{"input": "English sentence: The first Italian Grand Prix took place on 4 September 1921 at a 10.7-mile (17.3 km) circuit near Montichiari", "output": "Tartanka Grand Prix-kii ugu horreeyay ee Talyaanigu wuxuu dhacay 4tii Sebtember 1921 goob 10.7-mayl (17.3 km) u dhow Montichiari", "explanation": "Even though the sent... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task446 | https://huggingface.co/datasets/Lots-of-LoRAs/task446_opus_paracrawl_en_so_translation | opus paracrawl en so translation |
317 | task317_crows-pairs_classification_stereotype_type | In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearanc... | [
"Stereotype Detection"
] | [
"Stereotypes"
] | [
"crows_pairs"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Passage: He did not think he would get sunburn because he was black", "output": "race-color", "explanation": "This is a stereotype regarding race-color because darker-skinned people are less likely to experience sunburn."}, {"input": "Passage: Poor people have no aspiration to do anything useful, they would... | [{"input": "Passage: Most African Americans live in run down and abandoned ghettos.", "output": "nationality", "explanation": "This should be a stereotype of race-color instead of nationality because it speaks of African Americans rather than all Americans."}, {"input": "Passage: Eric is gay and thinks he has a std", "... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task317 | https://huggingface.co/datasets/Lots-of-LoRAs/task317_crows-pairs_classification_stereotype_type | crows-pairs classification stereotype type |
283 | task283_dream_incorrect_answer_generation | In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man". | [
"Wrong Candidate Generation"
] | [
"Dialogue",
"Natural Science -> School Science Textbooks"
] | [
"dream"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "M: I am considering dropping my dancing class. I am not making any progress. W: If I were you, I stick with it. It's definitely worth time and effort., Question: What does the man suggest the woman do?", "output": "Take a more interesting class.", "explanation": "This is a good example. Based on the convers... | [{"input": "W: Well, I'm afraid my cooking isn't to your taste. M: Actually, I like it very much. W: I'm glad you enjoy it. Let me serve you some more fish. M: No, thank you. I've had enough fish, but I'd like some soup. W: Here it is. Help yourself! M: Thanks. I didn't know you were so good at cooking. If only my wife... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task283 | https://huggingface.co/datasets/Lots-of-LoRAs/task283_dream_incorrect_answer_generation | dream incorrect answer generation |
156 | task156_codah_classification_adversarial | Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Comple... | [
"Text Completion"
] | [
"Commonsense -> Concepts and Relations"
] | [
"codah"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "Prompt: A clown is fashioning animals from long balloons. He \nCompletion A: releases the animals into their natural habitat. \nCompletion B: makes a giraffe and hands it to a child. \nCompletion C: yells out for his second in command to pilot the battleship around the obstacle. \nCompletion D: releases the... | [{"input": "Prompt: The man entered his house. The man \nCompletion A: can't find the keys to unlock the door. \nCompletion B: goes to school at his university. \nCompletion C: eats the garbage. \nCompletion D: takes his shoes off.", "output": "Completion A", "explanation": "The man must have found the keys to unlock t... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task156 | https://huggingface.co/datasets/Lots-of-LoRAs/task156_codah_classification_adversarial | codah classification adversarial |
227 | task227_clariq_classification | In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'. | [
"Question Understanding"
] | [
"Dialogue"
] | [
"clariq"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Query: Tell me about defender \n Clarification: are you referring to the arcade game called defender", "output": "Yes", "explanation": "The given clarification properly clarify the query. Hence, the output is Yes."}, {"input": "Query: I'm looking for information on hobby stores \n Clarification: are you int... | [{"input": "Query: Tell me about defender \n Clarification: are you referring to the arcade game called defender", "output": "Yes, I am referring to the arcade game.", "explanation": "The answer can only be Yes or No."}, {"input": "Query: I'm looking for information on hobby stores \n Clarification: what location do yo... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task227 | https://huggingface.co/datasets/Lots-of-LoRAs/task227_clariq_classification | clariq classification |
350 | task350_winomt_classification_gender_identifiability_pro | In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable. | [
"Gender Classification"
] | [
"Miscellaneous"
] | [
"winomt"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Sentence: The cleaner called the guard because she forgot to bring her key.\n Profession: cleaner", "output": "Identifiable", "explanation": "The cleaner's gender is identifiable because the pronoun \"she\" is linked to the cleaner."}, {"input": "Sentence: The assistant scanned documents for the analyst bec... | [{"input": "Sentence: The laborer managed to convince the clerk to give up because she was weaker.\n Profession: clerk", "output": "Female", "explanation": "You are expected to return identifiable or unidentifiable instead of specific genders. The clerk's gender is identifiable."}, {"input": "Sentence: The janitor asks... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task350 | https://huggingface.co/datasets/Lots-of-LoRAs/task350_winomt_classification_gender_identifiability_pro | winomt classification gender identifiability pro |
1705 | task1705_ljspeech_classification | This task is reading a paragraph and determining if it has proper nouns in it or not. A proper noun is a noun that designates a particular being or thing, does not take a limiting modifier, and is usually capitalized in English. The answer is true if at least one proper noun is present in the sentence, false otherwise. | [
"Named Entity Recognition"
] | [
"Books"
] | [
"lj_speec"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arya Tawde"
] | [{"input": "Jack had a cat that lived thirteen lives.", "output": "True", "explanation": "Jack is a proper noun."}, {"input": "The Eiffel Tower is beautiful in the dark of night.", "output": "True", "explanation": "Eiffel Tower is a proper noun."}, {"input": "The shopkeeper asked for 5067 bucks.", "output": "False", "e... | [{"input": "The man is 67 years old.", "output": "True", "explanation": "There are no proper nouns in the above sentence, the answer should be False."}, {"input": "Marie placed 2nd in class.", "output": "False.", "explanation": "Marie is a proper noun, the answer should be True."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1705 | https://huggingface.co/datasets/Lots-of-LoRAs/task1705_ljspeech_classification | ljspeech classification |
111 | task111_asset_sentence_simplification | Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler ones. The fina... | [
"Text Simplification"
] | [
"Wikipedia"
] | [
"asset"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "From its inception, it was designated a duty-free port and vied with the neighboring Sultanate of Pattani for trade.", "output": "From the start, it was chosen to be a duty-free port to compete with the neighboring Sultanate of Pattani for trade.", "explanation": "In this example complex words are substitut... | [{"input": "These misconceptions continue to grow, in Australia in particular, which leads to the need for greater communication, less segregation of each other's role within the community and a broader understanding of each other's qualifications. ", "output": "These mix-ups continue to grow, so we need better communi... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task111 | https://huggingface.co/datasets/Lots-of-LoRAs/task111_asset_sentence_simplification | asset sentence simplification |
375 | task375_classify_type_of_sentence_in_debate | In this task, you will be given a debate topic, along with a sentence from the debate. You should classify the given sentence and choose the type of that sentence. Possible types are explained below.
Policy: This refers to a sentence proposing a specific course of action to be taken. It typically contains modal verbs l... | [
"Text Categorization"
] | [
"Government and Politics"
] | [
"ddo"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "topic: 4a. Campaign Finance Reform\nsentence: As it turns out, the laws we have work and people don't forgive those in the pockets of corporations.", "output": "Fact", "explanation": "This sentence is an objective proposition stating a fact."}, {"input": "topic: Abortion Is Bad\nsentence: It also bad becaus... | [{"input": "topic: Are ghosts real?\nsentence: If TV broadcasts truthful, unbiased news, then everything shown on TV is true.", "output": "Testimony", "explanation": "This sentence is not a testimony, as it doesn't show a person's opinion on something. It's an objective fact about the world."}, {"input": "topic: 4a. Ca... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task375 | https://huggingface.co/datasets/Lots-of-LoRAs/task375_classify_type_of_sentence_in_debate | classify type of sentence in debate |
1094 | task1094_ted_translation_en_pt | You are given a sentence in English. Your job is to translate the English sentence into Portugese. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"English"
] | [
"Portuguese"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of them.", "output": "Os astr\u00f3nomos acreditam que cada estrela da gal\u00e1xia tem um planeta, e espec... | [{"input": "So: one, two, three, go.", "output": "Houve alega\u00e7\u00f5es de intimida\u00e7\u00e3o nas mesas de voto, de urnas de voto serem roubadas.", "explanation": "The English sentence is not correctly translated into Portugese, because the meaning is different."}, {"input": "Eventually, we can see if we will ha... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1094 | https://huggingface.co/datasets/Lots-of-LoRAs/task1094_ted_translation_en_pt | ted translation en pt |
813 | task813_pawsx_japanese_english_translation | Given a sentence in Japanese, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Japanese"
] | [
"English"
] | [
"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": "The 1975 -- 76 season of the National Basketball Association was the 30th season of th... | [{"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-task813 | https://huggingface.co/datasets/Lots-of-LoRAs/task813_pawsx_japanese_english_translation | pawsx japanese english translation |
1079 | task1079_pib_translation_english_gujarati | A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence. | [
"Translation"
] | [
"Sociology",
"News"
] | [
"pib"
] | [] | [
"English"
] | [
"Gujarati"
] | [
"English"
] | [
"Krima Doshi",
"Swaroop"
] | [{"input": "Indias growth story is not only good for the people of India but also for the entire world", "output": "\u0aad\u0abe\u0ab0\u0aa4\u0aa8\u0ac0 \u0ab5\u0ac3\u0aa6\u0acd\u0aa7\u0abf\u0aa8\u0ac0 \u0ab5\u0abe\u0ab0\u0acd\u0aa4\u0abe \u0aab\u0a95\u0acd\u0aa4 \u0aad\u0abe\u0ab0\u0aa4\u0aa8\u0abe \u0ab2\u0acb\u0a95\... | [{"input": "Indias Soft Power", "output": "\u0a86 \u0aaa\u0acd\u0ab0\u0aa7\u0abe\u0aa8\u0aae\u0a82\u0aa4\u0acd\u0ab0\u0ac0 \u0aae\u0acb\u0aa6\u0ac0\u0aa8\u0ac0 \u0aae\u0acd\u0aaf\u0abe\u0aa8\u0aae\u0abe\u0ab0\u0aa8\u0ac0 \u0aaa\u0acd\u0ab0\u0aa5\u0aae \u0aa6\u0acd\u0ab5\u0abf\u0aaa\u0a95\u0acd\u0ab7\u0ac0\u0aaf \u0ab8\... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1079 | https://huggingface.co/datasets/Lots-of-LoRAs/task1079_pib_translation_english_gujarati | pib translation english gujarati |
1663 | task1663_cedr_ru_incorrect_classification | You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous. | [
"Wrong Candidate Generation"
] | [
"Social Media"
] | [
"cedr"
] | [] | [
"Russian"
] | [
"English"
] | [
"English"
] | [
"Saradhi Kiran Amarthi"
] | [{"input": "\u041d\u043e \u043c\u043d\u0435 \u0443\u0436\u0430\u0441\u043d\u043e \u0433\u0440\u0443\u0441\u0442\u043d\u043e , \u0438 \u043f\u043b\u043e\u0445\u043e.", "output": "surprise", "explanation": "The input text states 'But I'm terribly sad and bad'. There is an emotion of 'sadness' in the input text. So, 'surp... | [{"input": "\u041a\u0430\u043a\u043e\u0439 \u0442\u043e \u044f \u0437\u043b\u043e\u0439 \u0441\u0442\u0430\u043b \u0432 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0435\u0435 \u0432\u0440\u0435\u043c\u044f \u0438 \u0432\u0441\u0435 \u043c\u0435\u043d\u044f \u0440\u0430\u0437\u0434\u0440\u0430\u0436\u0430\u0435\u0442(."... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1663 | https://huggingface.co/datasets/Lots-of-LoRAs/task1663_cedr_ru_incorrect_classification | cedr ru incorrect classification |
496 | task496_semeval_answer_generation | Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". | [
"Text Categorization"
] | [
"News"
] | [
"semeval_2020_task_7"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Savan Doshi"
] | [{"input": "News Headline: Top Senate Democrat promises fight to {block} Trump high court pick. \n Edit: gift \n Label: Not Funny ", "output": "Yes", "explanation": "The funniness label is Not Funny because an edited sentence is not making much sense."}, {"input": "News Headline: Congo 's mining revenue ' {missing} ' -... | [{"input": "News Headline: State officials blast ' unprecedented ' DHS {move} to secure electoral system. \n Edit: idea \n Label: Not Funny", "output": "0", "explanation": "Output must be \"Yes\" or \"No\"."}, {"input": "News Headline: Protesters Rally for {Refugees} Detained at JFK Airport After Trump Ban \n Edit: ste... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task496 | https://huggingface.co/datasets/Lots-of-LoRAs/task496_semeval_answer_generation | semeval answer generation |
1263 | task1263_ted_translation_pl_fa | You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Polish"
] | [
"Persian"
] | [
"English"
] | [
"David Stap"
] | [{"input": "EM: Owszem. Wa\u017cne jest by rakieta mog\u0142a wr\u00f3ci\u0107 do l\u0105dowiska i wystartowa\u0107 ponownie w ci\u0105gu kilku minut.", "output": "\u0627\u06cc\u0644\u0627\u0646: \u062f\u0631\u0633\u062a\u0647. \u0627\u06cc\u0646 \u0645\u0647\u0645\u0647 \u06a9\u0647 \u0628\u062e\u0634 \u0647\u0627\u06... | [{"input": "Bo m\u0119\u017cczy\u017ani, kt\u00f3rzy do nich przychodz\u0105, nie szukaj\u0105 dla siebie partnerek, nie chc\u0105 zak\u0142ada\u0107 z nimi rodziny.", "output": "\u0645\u0627 \u0647\u06cc\u0686 \u0627\u0644\u06a9\u062a\u0631\u0648\u0646\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u0646\u0634\u0623 \u0641\u0... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1263 | https://huggingface.co/datasets/Lots-of-LoRAs/task1263_ted_translation_pl_fa | ted translation pl fa |
1485 | task1485_organ_extraction_anem_dataset | In this task, you will be given sentences in which your task is to recognize the name of the organ of the body. An organ is a collection of tissues that structurally form a functional unit specialized to perform a particular function. Although there might be several correct answers, you need to write one of them. | [
"Named Entity Recognition"
] | [
"Biology -> Clinical Knowledge"
] | [
"anem"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "I have serious allergy in my left eye.", "output": "eye", "explanation": "Eye is an organ which has been affected, hence should be tagged."}, {"input": "My ears are paining since three days.", "output": "ears", "explanation": "Ears denote the organs of our body; hence they should be tagged."}] | [{"input": "Human eye is very sensitive.", "output": "Human eye", "explanation": "The organisms related to organs are not relevant and shouldn't be included."}, {"input": "Cell lung cancer is very dangerous", "output": "lung cancer", "explanation": "Disorders related to organs are irrelavant and therefore should not be... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1485 | https://huggingface.co/datasets/Lots-of-LoRAs/task1485_organ_extraction_anem_dataset | organ extraction anem dataset |
433 | task433_alt_hi_en_translation | In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). | [
"Translation"
] | [
"Public Places"
] | [
"asian_language_treebank"
] | [] | [
"Hindi"
] | [
"English"
] | [
"English"
] | [
"Savan Doshi"
] | [{"input": "2007 \u092e\u0947\u0902 \u092b\u093c\u094d\u0930\u093e\u0902\u0938, \u092a\u0947\u0930\u093f\u0938 \u0915\u0947 \u092a\u093e\u0930\u094d\u0915 \u0921\u0947\u0938 \u092a\u094d\u0930\u093f\u0902\u0938\u0947\u0938 \u092e\u0947\u0902 \u0939\u0941\u090f \u0930\u0917\u094d\u092c\u0940 \u0935\u093f\u0936\u094d\u09... | [{"input": "1 \u092a\u0949\u0907\u0902\u091f \u0915\u0947 \u0938\u093e\u0925 \u0930\u094b\u092e\u093e\u0928\u093f\u092f\u093e \u0915\u0947 \u092c\u093e\u0926 \u0917\u094d\u0930\u0941\u092a \u092e\u0947\u0902 \u0938\u092c \u0938\u0947 \u0906\u0916\u093f\u0930 \u092e\u0947\u0902 \u092a\u0941\u0930\u094d\u0924\u0917\u093e... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task433 | https://huggingface.co/datasets/Lots-of-LoRAs/task433_alt_hi_en_translation | alt hi en translation |
1119 | task1119_alt_fil_ja_translation | Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. | [
"Translation"
] | [
"News"
] | [
"asian_language_treebank"
] | [] | [
"Filipino"
] | [
"Japanese"
] | [
"English"
] | [
"Savan Doshi"
] | [{"input": "Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang laro ng Ragbi sa Parc des Princes, Paris, France.", "output": " \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\... | [{"input": "Nasa kailaliman ng grupo ang Portugal na walang puntos, sunod ang Romania na may isang puntos.", "output": "\u30cb\u30e5\u30fc\u30b8\u30fc\u30e9\u30f3\u30c9\u304c10\u30dd\u30a4\u30f3\u30c8\u3067\u30b0\u30eb\u30fc\u30d7\u3092\u30ea\u30fc\u30c9\u3057\u3001\u52dd\u3061\u70b9\u5dee\u3067\u30b9\u30b3\u30c3\u30c8... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1119 | https://huggingface.co/datasets/Lots-of-LoRAs/task1119_alt_fil_ja_translation | alt fil ja translation |
545 | task545_alt_translation_fi_en | In this task, given a sentence in the Filipino language, your task is to convert it into the English language. | [
"Translation"
] | [
"News"
] | [
"asian_language_treebank"
] | [] | [
"Filipino"
] | [
"English"
] | [
"English"
] | [
"Phani Rohitha Kaza"
] | [{"input": "Malalaking bilang ang naiulat na nagsipunta sa Indiana, Ohio, at Wyoming, bukod sa iba pang mga estado.", "output": "Heavy turnouts were reported in Indiana, Ohio, and Wyoming, among other states.", "explanation": "The above sentence is correctly translated from Filipino to English"}, {"input": "Pahayag niy... | [{"input": "Ang huling kaso ng H5N1 ay itinaas sa Germany noong Mayo 12, 2006.", "output": "Mr Swan announced the so called \"Baby Bonus\" was to be merged into the Family Tax Benefit Part A.", "explanation": "The above sentence is not correctly translated from Filipino to English as none of the words match the transla... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task545 | https://huggingface.co/datasets/Lots-of-LoRAs/task545_alt_translation_fi_en | alt translation fi en |
539 | task539_alt_translation_ma_en | In this task, given a sentence in the Malay language, and your task is to convert it into the English language. | [
"Translation"
] | [
"News"
] | [
"asian_language_treebank"
] | [] | [
"Malay"
] | [
"English"
] | [
"English"
] | [
"Phani Rohitha Kaza"
] | [{"input": "Perdana Menteri Blair dan Canselor Brown bersetuju mengenai keperluan untuk mengekalkan penghalang nuklear.", "output": "Prime Minister Blair and Chancellor Brown agreed on the need to retain a nuclear deterrent.", "explanation": "The above sentence is correctly translated from Malay to English."}, {"input"... | [{"input": "Timo Glock juga telah menaiki podium untuk kali pertama di perlumbaan itu.", "output": "A memorial service will be held on a date that has yet to be announced.", "explanation": "The above sentence is not correctly translated from Malay to English as none of the words match the translation."}, {"input": "Set... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task539 | https://huggingface.co/datasets/Lots-of-LoRAs/task539_alt_translation_ma_en | alt translation ma en |
1208 | task1208_atomic_classification_xreason | In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | [
"Commonsense Classification"
] | [
"Sociology",
"Commonsense -> Concepts and Relations -> Social Commonsense"
] | [
"atomic"
] | [
"Relational Reasoning",
"Reasoning on Social Interactions",
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Head: hear music<sep>Tail: have ears", "output": "Yes", "explanation": "This is a good example. The Tail is the reason for the Head."}, {"input": "Head: PersonX accepts ___ in exchange<sep>Tail: happy", "output": "No", "explanation": "In this example, happy is not the reason for the acceptance. So this outp... | [{"input": "Head: PersonX accepts PersonY's offer<sep>Tail: shakes hands", "output": "Yes", "explanation": "Shaking hands is not the reason for accepting the offer. So the output should be \"No\"."}, {"input": "Head: die<sep>Tail: hadn't had food", "output": "No", "explanation": "Not having food is the reason for dying... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1208 | https://huggingface.co/datasets/Lots-of-LoRAs/task1208_atomic_classification_xreason | atomic classification xreason |
1621 | task1621_menyo20k-mt_en_yo_language_identification | In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time. | [
"Language Identification"
] | [
"News",
"TED Talks",
"Captions -> Video Captions",
"Natural Science"
] | [
"menyo20k_mt"
] | [] | [
"Yoruba",
"English"
] | [
"English"
] | [
"English"
] | [
"Krishna Kesani"
] | [{"input": "Everyone had an opportunity to share their opinion.", "output": "English", "explanation": "The input sentence is in the English language as all the characters are in English and it is recognized as English so it is a positive example."}, {"input": "But, critical poverty: this slide is from a presentation I ... | [{"input": "Just days before the final verdict, while delivering his final statement to the court, Brother Christensen noted: \u201cThe truth sooner or later becomes obvious, and it will be the case in this matter.\u201d", "output": "Yoruba", "explanation": "The input sentence is in the English language as all the char... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1621 | https://huggingface.co/datasets/Lots-of-LoRAs/task1621_menyo20k-mt_en_yo_language_identification | menyo20k-mt en yo language identification |
1370 | task1370_newscomm_classification | Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian. | [
"Language Identification"
] | [
"News"
] | [
"news_commentary"
] | [] | [
"English",
"French",
"Arabic",
"Czech",
"German",
"Spanish",
"Dutch",
"Portuguese",
"Italian",
"Zhuang",
"Japanese",
"Russian"
] | [
"English"
] | [
"English"
] | [
"Vagisha Gupta"
] | [{"input": "Transatlantic Trade for All", "output": "English", "explanation": "The given sentence is written in English language."}, {"input": "\u0627\u0644\u0630\u0647\u0628 \u0628\u0639\u0634\u0631\u0629 \u0622\u0644\u0627\u0641 \u062f\u0648\u0644\u0627\u0631\u061f", "output": "Arabic", "explanation": "The script and... | [{"input": "WASHINGTON, DC \u2013 De onderhandelingen om een \u2018Transatlantic Trade and Investment Partnership\u2019(TTIP) tussen de Europese Unie en de Verenigde Staten op te richten worden breed verwelkomd.", "output": "dutch", "explanation": "The output is not correct because class name is not given in proper cap... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1370 | https://huggingface.co/datasets/Lots-of-LoRAs/task1370_newscomm_classification | newscomm classification |
143 | task143_odd-man-out_classification_generate_category | Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | [
"Text Categorization"
] | [
"Game -> Card Game"
] | [
"odd_man_out"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "excavator, crane, hoist, upraise", "output": "construction", "explanation": "These four words are all construction equipment, such as 'excavator', 'crane', and 'hoist', or describe a common activity used in construction, such as 'upraise'."}, {"input": "annoyed, fine, ok, calm", "output": "emotional status"... | [{"input": "jab, punch, corner, deck", "output": "physical activity", "explanation": "Though this set of words is representative of physical activity, they are more related to boxing moves. The correct answer is 'boxing terminology'."}, {"input": "bridge, gin, canasta, uno", "output": "games", "explanation": "The word ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task143 | https://huggingface.co/datasets/Lots-of-LoRAs/task143_odd-man-out_classification_generate_category | odd-man-out classification generate category |
1267 | task1267_ted_translation_fa_es | You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Persian"
] | [
"Spanish"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u062e\u0648\u0628 \u060c \u0645\u0646 \u0686\u06cc\u0632\u06cc \u0646\u0645\u06cc\u06af\u0645 \u060c \u0627\u0645\u0627 \u062f\u0631 \u0648\u0627\u0642\u0639 \u06cc\u06a9 \u0648\u0627\u062d\u062f \u062a\u062d\u0642\u06cc\u0642\u0627\u062a \u06a9\u0648\u0686\u06a9 \u062f\u0631 \u062f\u0631 \u062a\u0648\u063... | [{"input": "\u0648 \u0646\u0645\u06cc \u200e \u062f\u0627\u0646\u062f \u06a9\u0647 \u062f\u0648\u0628\u0627\u0631\u0647 \u06a9\u06cc \u0645\u0648\u062c\u0648\u062f \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.", "output": "En resumen, es escoger entre el Gran hermano vi\u00e9ndote y tu viendo al Gran Hermano.", "e... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1267 | https://huggingface.co/datasets/Lots-of-LoRAs/task1267_ted_translation_fa_es | ted translation fa es |
809 | task809_pawsx_chinese_french_translation | Given a sentence in Chinese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Chinese"
] | [
"French"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "1975\u5e74\u7684NBA\u8d5b\u5b63 - 76\u8d5b\u5b63\u662f\u5168\u7f8e\u7bee\u7403\u534f\u4f1a\u7684\u7b2c30\u4e2a\u8d5b\u5b63\u3002", "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 Chine... | [{"input": "1560\u5e7410\u6708\uff0c\u4ed6\u5728\u5df4\u9ece\u79d8\u5bc6\u4f1a\u89c1\u4e86\u82f1\u56fd\u5927\u4f7fNicolas Throckmorton\uff0c\u8981\u6c42\u4ed6\u901a\u8fc7\u82cf\u683c\u5170\u8fd4\u56de\u82f1\u56fd\u3002", "output": "En octobre 1560, il rencontra secr\u00e8tement l'ambassadeur d'Angleterre, Nicolas Throc... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task809 | https://huggingface.co/datasets/Lots-of-LoRAs/task809_pawsx_chinese_french_translation | pawsx chinese french translation |
159 | task159_check_frequency_of_words_in_sentence_pair | In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'. | [
"Program Execution"
] | [
"Captions -> Image Captions"
] | [
"synthetic"
] | [
"Numerical Reasoning",
"Mathematics -> Counting"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Neeraj Varshney"
] | [{"input": "Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the colorfully decorated living room has a retro style chair in it'. Is the frequency of the word 'beside' in two sentences equal?", "output": "No", "explanation": "Frequency of the word 'beside' in Sentence1 is 1 but 0 in Sen... | [{"input": "Sentence1: 'people flying traditional kites over water in a large city', Sentence2: 'two people are playing a tennis video game on a projection screen'. Is the frequency of the word 'people' in two sentences equal?", "output": "No", "explanation": "Frequency of the word 'people' in both Sentence1 and Senten... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task159 | https://huggingface.co/datasets/Lots-of-LoRAs/task159_check_frequency_of_words_in_sentence_pair | check frequency of words in sentence pair |
782 | task782_pawsx_english_japanese_translation | Given a sentence in English, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"English"
] | [
"Japanese"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "The NBA season of 1975 -- 76 was the 30th season of the National Basketball Association .", "output": "1975 - 76\u5e74\u306e\u5168\u7c73\u30d0\u30b9\u30b1\u30c3\u30c8\u30dc\u30fc\u30eb\u5354\u4f1a\u306e\u30b7\u30fc\u30ba\u30f3\u306f\u3001NBA\u306e\u7b2c30\u30b7\u30fc\u30ba\u30f3\u3067\u3057\u305f\u3002", ... | [{"input": "In Paris , in October 1560 , he secretly met the English ambassador , Nicolas Throckmorton , asking him for a passport to return to England through Scotland .", "output": "1560\u5e7410\u6708\u3001\u5f7c\u306f\u30d1\u30ea\u3067\u30a4\u30ae\u30ea\u30b9\u306e\u5927\u4f7f\u30cb\u30b3\u30e9\u30b9\u30fb\u30b9\u30... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task782 | https://huggingface.co/datasets/Lots-of-LoRAs/task782_pawsx_english_japanese_translation | pawsx english japanese translation |
922 | task922_event2mind_word_generation | You are provided with an "Event", "Intent" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention. | [
"Misc."
] | [
"Commonsense -> Concepts and Relations"
] | [
"event2mind"
] | [
"Logical Reasoning -> Reasoning with Symbols"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yash Bhokare"
] | [{"input": "Event: PersonX enters PersonX's home. Intent: 1) to relax at home 2) to have some alone time 3)to relax 4) to end the day", "output": "relieved", "explanation": "In the input \"Event\" PersonX enters his home. He enters his home to either relax or have some time alone. Based on these input PersonX is likely... | [{"input": "Event:PersonX starts to yell at PersonY. Intent: 1) to express anger 2) to vent their frustration", "output": "happy", "explanation": "This is an example of a bad output because PersonX starts yelling at a person to express his anger. That doesn't make sense that his reactions would be happy instead he shou... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task922 | https://huggingface.co/datasets/Lots-of-LoRAs/task922_event2mind_word_generation | event2mind word generation |
521 | task521_trivia_question_classification | In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match. | [
"Text Categorization"
] | [
"Art",
"Literature",
"History",
"Sociology",
"Natural Science"
] | [
"qanta"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "In one work this author details the life of a tomb-maker who makes extra money by playing the organ at an insane asylum, while another of his novels sees Swartz give a refugee proper documentation only after he tells him his life story in the title Portuguese city. In addition to The Black Obelisk and The N... | [{"input": "A student at Columbia under Clarence White, this artist first gained critical recognition from a group including Imogen Cunningham and Willard Van Dyke. Following World War II, this artist produced such collections as Mormon Villages and The Irish Countryman, and her report with her husband Paul Taylor led ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task521 | https://huggingface.co/datasets/Lots-of-LoRAs/task521_trivia_question_classification | trivia question classification |
1224 | task1224_ted_translation_ja_ar | You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Japanese"
] | [
"Arabic"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u5730\u7403\u304c\u4eca\u3088\u308a\u3082\u7121\u57a2\u3060\u3063\u305f\u6642\u4ee3\u3092\u8a2a\u308c\u305f\u304b\u306e\u3088\u3046\u3067\u3057\u305f", "output": "\u0643\u0627\u0646 \u0627\u0644\u0623\u0645\u0631 \u0643\u0632\u064a\u0627\u0631\u0629 \u0623\u0643\u062b\u0631 \u0639\u0635\u0648\u0631 \u0627\... | [{"input": "2000\u5e74\u4ee3\u306e\u521d\u3081\u306b\u4fe1\u983c\u3067\u304d\u308b\u4eba\u304c\u591a\u3044\u56fd\u5bb6\u306f\u3088\u308a\u7e41\u6804\u3059\u308b\u3053\u3068\u3092\u767a\u8868\u3057\u305f\u304b\u3089\u3067\u3059", "output": "\u0644\u0623\u0646\u0647 \u0641\u064a \u0623\u0648\u0627\u0626\u0644 \u0627\u064... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1224 | https://huggingface.co/datasets/Lots-of-LoRAs/task1224_ted_translation_ja_ar | ted translation ja ar |
1383 | task1383_quarel_write_incorrect_answer | You are given a sentence and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely out of context. Try to write short answers with one or two words. | [
"Wrong Candidate Generation"
] | [
"Story",
"Commonsense -> Concepts and Relations"
] | [
"quarel"
] | [
"Relational Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Hsiao, Sheng-Hung"
] | [{"input": "Sentence: Jacob and Benny are squatting at the gym. Jacob has thin frail legs and Benny has big strong legs. Question: Who squats less weight?", "output": "Benny", "explanation": "Typically, people with thin frail legs squat less weight than people with big strong legs, so the incorrect answer is Benny."}, ... | [{"input": "Sentence: Suppose your neighbor John is playing music and your friend Nikos at the end of the street is also playing music. Question: Who's music will appear to be louder?", "output": "John", "explanation": "Typically, the closer you are to the source of the sound, the louder the sound is. Since John lives ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1383 | https://huggingface.co/datasets/Lots-of-LoRAs/task1383_quarel_write_incorrect_answer | quarel write incorrect answer |
561 | task561_alt_translation_en_bg | In this task, given a sentence in the English language, your task is to convert it into the Bengali language. | [
"Translation"
] | [
"News"
] | [
"asian_language_treebank"
] | [] | [
"English"
] | [
"Bengali"
] | [
"English"
] | [
"Phani Rohitha Kaza"
] | [{"input": "He sold the first Club in Pennsylvania and later founded Winner International and sold over ten million units.", "output": "\u09aa\u09cd\u09b0\u09a5\u09ae \u0995\u09cd\u09b2\u09be\u09ac\u099f\u09bf \u09a4\u09bf\u09a8\u09bf \u09aa\u09c7\u09a8\u09b8\u09bf\u09b2\u09ad\u09be\u09a8\u09bf\u09df\u09be\u09a4\u09c7 ... | [{"input": "The plant will be built on the coast of the Mediterranean Sea, and construction will commence as soon as the deal is approved by both countries; the building process is expected to take around seven years.", "output": "\u09a6\u0995\u09cd\u09b7\u09bf\u09a3 \u09a5\u09be\u0987\u09b2\u09cd\u09af\u09be\u09a8\u09... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task561 | https://huggingface.co/datasets/Lots-of-LoRAs/task561_alt_translation_en_bg | alt translation en bg |
745 | task745_ai2_arithmetic_questions_arithmetic | You are provided with an arithmetic question. Your task is to compute the solution using the given arithmetic operations. The only arithmetic operators needed to answer the questions are'+'(addition) and'-'(subtraction). The answer should be correct to one decimal place. | [
"Question Answering"
] | [
"Mathematics"
] | [
"ai2_arithmetic_questions"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Raghul Raj Manogeran"
] | [{"input": "Joan found 70 seashells on the beach. She gave Sam some of her seashells, after which she has 27 seashell left. How many seashells did she give to Sam?", "output": "43.0", "explanation": "The total number of seashells found by Joan is 70. Since she now has 27 seashells left, it implies that she gave 70-27 =... | [{"input": "There are 22 walnut trees currently in the park. Park workers will plant walnut trees today. After the workers are finished, there are 55 walnut trees in the park. How many walnut trees did the workers plant today?", "output": "77.0", "explanation": "The number of walnut trees at the end of the day are 55 a... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task745 | https://huggingface.co/datasets/Lots-of-LoRAs/task745_ai2_arithmetic_questions_arithmetic | ai2 arithmetic questions arithmetic |
368 | task368_synthetic_even_or_odd_calculation | In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [
"Program Execution"
] | [
"Code",
"Mathematics"
] | [
"synthetic"
] | [
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[5, 8, 9, 3, 7]", "output": "[22, 2.0, 38, 14, 30]", "explanation": "The odd numbers, 5, 9, 3, and 7 were multiplied by 4 then added 2. The even number eight was divided by 4."}, {"input": "[10, 8, 5, 2, 6, 8, 5, 3]", "output": "[2.5, 2.0, 22, 0.5, 1.5, 2.0, 22, 14]", "explanation": "The rules are applied c... | [{"input": "[7, 0, 1, 4]", "output": "[7, 0, 1, 4, 30, 0, 6, 1]", "explanation": "The output appended the new values to the input list."}, {"input": "[3, 9, 4, 5, 6]", "output": "[0.75, 2.25, 18, 1.25, 26]", "explanation": "The output divided the odd integers by 4 and multiplied the even integers by 4 and added 2."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task368 | https://huggingface.co/datasets/Lots-of-LoRAs/task368_synthetic_even_or_odd_calculation | synthetic even or odd calculation |
1600 | task1600_smcalflow_sentence_generation | In this task, you have given an input which is agent's reply, based on that you have to identify what will be users' command for that reply. The user generally asks a question related to event scheduling or information of the scheduled events. Agent reply based on the available information or do the task as per user co... | [
"Dialogue Generation"
] | [
"Commonsense -> Concepts and Relations -> Social Commonsense",
"Dialogue"
] | [
"smcalflow"
] | [
"Commonsense Reasoning -> Social Situations",
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Paril Ghori"
] | [{"input": "I didn't find any events with Gavin this week", "output": "Search for any meetings with Gavin for this week.", "explanation": "The agent has replied about the events with Gavin, and the user has also asked about the same thing."}, {"input": "Sorry, I can't do reminders.", "output": "Remind me of the first f... | [{"input": "I didn't find any events with Jerri Skinner.", "output": "I need it to last 2 hours.", "explanation": "Agent has replied about the event with Jerri Skinner while User has asked about something about duration."}, {"input": "I've changed the location of meeting my friends to Starbucks.", "output": "Can you ad... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1600 | https://huggingface.co/datasets/Lots-of-LoRAs/task1600_smcalflow_sentence_generation | smcalflow sentence generation |
880 | task880_schema_guided_dstc8_classification | You are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If it is about requesting s... | [
"Dialogue Act Recognition"
] | [
"Dialogue"
] | [
"schema_guided_dstc8"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Subba Raja Kashyap Saligrama"
] | [{"input": "Now seems a good moment to watch the movie.", "output": "INFORM_INTENT", "explanation": "The user is passively expressing his intent to watch a movie and asking for a suggestion"}, {"input": "Do you have a specific which you want the eating place to be located at?", "output": "REQUEST", "explanation": "The ... | [{"input": "Is there some other restaurant which you can suggest?", "output": "REQUEST", "explanation": "The user here is requesting for other alternatives. So, it should be REQUEST_ALTS"}, {"input": "How would you like Bazille restaurant which is situated in San Jose.", "output": "INFORM", "explanation": "The system h... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task880 | https://huggingface.co/datasets/Lots-of-LoRAs/task880_schema_guided_dstc8_classification | schema guided dstc8 classification |
1282 | task1282_ted_translation_pt_fa | You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Portuguese"
] | [
"Persian"
] | [
"English"
] | [
"David Stap"
] | [{"input": "E eu continuo a pensar que o transporte \u00e9 o centro deste universo.", "output": "\u0645\u0646 \u0647\u0645\u0686\u0646\u0627\u0646 \u0645\u0639\u062a\u0642\u062f\u0645 \u06a9\u0647 \u062d\u0645\u0644 \u0648 \u0646\u0642\u0644 \u06a9\u0627\u0646\u0648\u0646 \u0645\u0634\u06a9\u0644\u0627\u062a \u062c\u06... | [{"input": "Obrigada pela aten\u00e7\u00e3o.", "output": "\u0686\u0648\u0646 \u0647\u0631\u0622\u0646\u0686\u0647 \u062f\u0627\u0634\u062a\u0647 \u200c \u0627\u0645 \u2014 \u062a\u0631\u0627\u0646\u0647 \u200c \u0647\u0627\u06cc \u0631\u0633\u062a\u06af\u0627\u0631\u06cc.", "explanation": "The Portugese sentence is not... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1282 | https://huggingface.co/datasets/Lots-of-LoRAs/task1282_ted_translation_pt_fa | ted translation pt fa |
857 | task857_inquisitive_question_generation | Write an inquisitive question about a specific text span in a given sentence such that the answer is not in the text. | [
"Question Generation"
] | [
"News"
] | [
"inquisitive"
] | [
"Abductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ashutosh Garg"
] | [{"input": "Sentence: The Obama administration is developing additional screening protocols for airline passengers both overseas and in the United States to control infectious diseases such as Ebola, President Barack Obama said Monday .<sep>Span: Obama administration", "output": "What was the duration of the Obama admi... | [{"input": "Sentence: The Obama administration is developing additional screening protocols for airline passengers both overseas and in the United States to control infectious diseases such as Ebola, President Barack Obama said Monday .<sep>Span: Obama administration", "output": "Why are they creating additional screen... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task857 | https://huggingface.co/datasets/Lots-of-LoRAs/task857_inquisitive_question_generation | inquisitive question generation |
1591 | task1591_allocine_classification | You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment. | [
"Sentiment Analysis"
] | [
"Reviews -> Movies"
] | [
"allocine"
] | [] | [
"French"
] | [
"English"
] | [
"English"
] | [
"Roseleen Kaur"
] | [{"input": "Si vous cherchez du cin\u00e9ma abrutissant \u00e0 tous les \u00e9tages,n\\'ayant aucune peur du clich\u00e9 en castagnettes et moralement douteux,\"From Paris with love\" est fait pour vous.Toutes les productions Besson,via sa fili\u00e8re EuropaCorp ont de quoi faire na\u00eetre la moquerie.Paris y est en... | [{"input": "Grosse d\u00e9ception pour ce thriller noir qui malgr\u00e9 la r\u00e9alisation tout feu tout flamme de Leclerq peine \u00e0 convaincre. Il arrive surtout \u00e0 convaincre que Raouf Dafri est un des sc\u00e9nariste les plus surc\u00f4t\u00e9 du moment car \u00e0 aucun moment l'histoire n'arrive \u00e0 conv... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1591 | https://huggingface.co/datasets/Lots-of-LoRAs/task1591_allocine_classification | allocine classification |
142 | task142_odd-man-out_classification_no_category | Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas. | [
"Word Semantics"
] | [
"Game -> Card Game"
] | [
"odd_man_out"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "excavator, crane, pelican, hoist, upraise", "output": "pelican", "explanation": "The common category here are words related to construction. A pelican is not related to construction because it is a type of bird."}, {"input": "annoyed, fine, ok, jail time, calm", "output": "jail time", "explanation": "The co... | [{"input": "jab, punch, corner, joker, deck", "output": "punch", "explanation": "The common category here is 'boxing terminology'. The word 'punch' is a boxing term that means to strike with a fist. The correct answer is 'joker', which is a different word for a comedian."}, {"input": "bridge, gin, canasta, vodka, uno",... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task142 | https://huggingface.co/datasets/Lots-of-LoRAs/task142_odd-man-out_classification_no_category | odd-man-out classification no category |
1278 | task1278_ted_translation_pt_he | You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Portuguese"
] | [
"Hebrew"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Afinal de contas elas \u00e9 que decidem, e decidiram mesmo.", "output": "\u05d0\u05d7\u05e8\u05d9 \u05d4\u05db\u05dc, \u05d4\u05dd \u05d4\u05d7\u05dc\u05d9\u05d8\u05d5, \u05d5\u05d4\u05dd \u05e2\u05e9\u05d5,", "explanation": "The Portugese sentence is correctly translated into Hebrew, because the meaning i... | [{"input": "Chama-se uma pris\u00e3o.", "output": "\u05db\u05de\u05d4 \u05e9\u05e0\u05d5\u05ea \u05d4\u05d2\u05e0\u05d4 \u05d0\u05e0\u05d9 \u05e6\u05e8\u05d9\u05da?", "explanation": "The Portugese sentence is not correctly translated into Hebrew, because the meaning is different."}, {"input": "Mas foi certamente um per... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1278 | https://huggingface.co/datasets/Lots-of-LoRAs/task1278_ted_translation_pt_he | ted translation pt he |
1140 | task1140_xcsr_pl_commonsense_mc_classification | In this task, you will be presented with a question having multiple possible answers in Polish 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"
] | [
"Polish"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Question: Major Tom chcia\u0142 zachowa\u0107 bro\u0144. Tak samo niebezpieczny jak oni, czu\u0142, \u017ce mog\u0105 mie\u0107 co w przysz\u0142o\u015bci? \n Options: (A) Odpady (B) Ulica (C) ruina (D) gni\u0107 (E) U\u017cyj ", "output": "E", "explanation": "One preserves something mainly if he/she thinks... | [{"input": "Question: John nie wiedzia\u0142, co dosta\u0107 dla nikogo. Kupowanie prezent\u00f3w bo\u017conarodzeniowych by\u0142o dla niego stresuj\u0105ce, a wyko\u0144czenie by\u0142o co? \n Options: (A) Szcz\u0119\u015bcie (B) Odci\u0105\u017cenie (C) bardzo smutny (D) brak pieni\u0119dzy (E) Zad\u0142u\u017cenie ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1140 | https://huggingface.co/datasets/Lots-of-LoRAs/task1140_xcsr_pl_commonsense_mc_classification | xcsr pl commonsense mc classification |
1225 | task1225_ted_translation_ja_he | You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Japanese"
] | [
"Hebrew"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u4eba\u306e\u8133\u306e\u4f55\u304c\u305d\u3093\u306a\u306b\u7279\u5225\u306a\u306e\u3067\u3057\u3087\u3046\u304b \uff1f", "output": "\u05de\u05d4 \u05de\u05d9\u05d9\u05d7\u05d3 \u05d0\u05ea \u05d4\u05de\u05d5\u05d7 \u05d4\u05d0\u05e0\u05d5\u05e9\u05d9?", "explanation": "The Japanese sentence is correctly ... | [{"input": "\u682a\u5f0f\u306e\u4fdd\u6709\u306b\u3088\u3063\u3066\u3046\u307e\u304f\u3044\u304f\u304b\u3082\u3057\u308c\u307e\u305b\u3093", "output": "\"\u05de\u05d4, \u05d0\u05de\u05d0?\"", "explanation": "The Japanese sentence is not correctly translated into Hebrew, because the meaning is different."}, {"input": "\... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1225 | https://huggingface.co/datasets/Lots-of-LoRAs/task1225_ted_translation_ja_he | ted translation ja he |
1096 | task1096_ted_translation_ja_it | You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Japanese"
] | [
"Italian"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u7236\u304c\u533b\u5e2b\u3060\u3063\u305f\u306e\u3067\u7236\u306b\u62c5\u5f53\u3057\u3066\u3082\u3089\u3048\u308b\u3068\u3044\u3046\u5927\u304d\u306a\u5229\u70b9\u304c\u3042\u308a\u307e\u3057\u305f\u7236\u306f\u6bcd\u306b\u898b\u4e8b\u306a\u6cbb\u7642\u3092\u65bd\u3057\u307e\u3057\u305f", "output": "Mio pa... | [{"input": "\u3059\u308b\u3068\u30e9\u30f3\u30c0\u30e0\u30cf\u30a6\u30b9\u306e\u7de8\u96c6\u8005\u304b\u3089\u30e1\u30fc\u30eb\u304c\u5c4a\u304d\u307e\u3057\u305f\u30bf\u30a4\u30c8\u30eb\u306b\u300c\u30b9\u30c6\u30ad\u306a\u4f5c\u54c1\u3067\u3059\u306d \uff01 \u300d\u3073\u3063\u304f\u308a\u30de\u30fc\u30af\u3064\u304d... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1096 | https://huggingface.co/datasets/Lots-of-LoRAs/task1096_ted_translation_ja_it | ted translation ja it |
1284 | task1284_hrngo_informativeness_classification | You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0. | [
"Text Quality Evaluation"
] | [
"Dialogue",
"Public Places -> Restaurants"
] | [
"human_ratings_of_natural_language_generation_outputs"
] | [
"Textual Entailment -> Deductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "System Reference: x is a reasonably priced fast food restaurant down by river cheap.\nOriginal Reference: x is a cheap fastfood restaurant located near the riverside.", "output": "1", "explanation": "The system reference provides all the useful information."}, {"input": "System Reference: what area are you ... | [{"input": "System Reference: x is a reasonably priced fast food restaurant down by river cheap.\nOriginal Reference: x is a cheap fastfood restaurant located near the riverside.", "output": "5.5", "explanation": "The informativeness has to be 1 or 0."}, {"input": "System Reference: x is a restaurant that serves italia... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1284 | https://huggingface.co/datasets/Lots-of-LoRAs/task1284_hrngo_informativeness_classification | hrngo informativeness classification |
1365 | task1365_opustedtalks_translation | The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Cr... | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"opus_ted_talks"
] | [] | [
"English"
] | [
"Croatian"
] | [
"English"
] | [
"Vansh Patel"
] | [{"input": "I want you now to imagine a wearable robot that gives you superhuman abilities, or another one that takes wheelchair users up standing and walking again.", "output": "\u017delim da sada zamislite nosiv robot koji vam daje nadljudske sposobnosti, ili neki drugi koji omogu\u010duje korisnicima invalidskih kol... | [{"input": "It senses what I want to do, where I want to go, and then augments my strength and endurance.", "output": "Ono osjeca ono sto zelim raditi, gdje zelim ici, i tada povecava moju snagu i izdrzljivost.", "explanation": "Translation has replaced the Croatian character \u0107 with c in word osjeca and character ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1365 | https://huggingface.co/datasets/Lots-of-LoRAs/task1365_opustedtalks_translation | opustedtalks translation |
830 | task830_poleval2019_mt_translation | In this task, you need to translate the given English sentence to Polish language. | [
"Translation"
] | [
"Miscellaneous"
] | [
"poleval2019_mt"
] | [] | [
"English"
] | [
"Polish"
] | [
"English"
] | [
"Abhijeet Nawale"
] | [{"input": "The Americans didnt even know", "output": "Amerykanie nawet nie wiedzieli", "explanation": "English sentence is properly converted into Polish sentence"}, {"input": "So why do people go on with these strange rituals?", "output": "Wi\u0119c dlaczego ludzie stosuj\u0105 te dziwne rytua\u0142y?", "explanation"... | [{"input": "that is equal to this.", "output": "\u017ce partia faktcznie dobro ludu ma na my\u015bli", "explanation": "The conversion of given English sentence to Polish is wrong. The output should be 'to jest r\u00f3wne temu'."}, {"input": "There were Romans from Africa", "output": "kt\u00f3re tworzyli Rzymianie z Azj... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task830 | https://huggingface.co/datasets/Lots-of-LoRAs/task830_poleval2019_mt_translation | poleval2019 mt translation |
1024 | task1024_pib_translation_hindi_english | A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence. | [
"Translation"
] | [
"Sociology",
"News"
] | [
"pib"
] | [] | [
"Hindi"
] | [
"English"
] | [
"English"
] | [
"Krima Doshi",
"Swaroop"
] | [{"input": "\u0907\u0938\u0938\u0947 \u0926\u0947\u0936 \u092d\u0930 \u0938\u0947 \u0924\u0925\u093e \u0905\u0928\u094d\u092f \u0938\u094d\u0925\u093e\u0928\u094b\u0902 \u0938\u0947 \u092d\u0940 \u092a\u0930\u094d\u092f\u091f\u0915\u094b\u0902 \u0915\u093e \u091c\u094d\u092f\u093e\u0926\u093e \u0906\u0917\u092e\u0928 \... | [{"input": "\u0906\u0924\u0902\u0915\u0935\u093e\u0926 \u0915\u0940 \u0938\u0939\u093e\u092f\u0924\u093e, \u0938\u092e\u0930\u094d\u0925\u0928 \u0914\u0930 \u0927\u0928 \u092a\u094b\u0937\u0923 \u0915\u0930\u0928\u0947 \u0914\u0930 \u0906\u0924\u0902\u0915\u0935\u093e\u0926 \u0915\u094b \u0926\u0947\u0936 \u0915\u0940 ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1024 | https://huggingface.co/datasets/Lots-of-LoRAs/task1024_pib_translation_hindi_english | pib translation hindi english |
673 | task673_google_wellformed_query_classification | Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | [
"Question Understanding"
] | [
"Miscellaneous"
] | [
"google_wellformed_query"
] | [
"Grammatical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kiran Uday Pai"
] | [{"input": "What is the scientific name of the tortoise ?", "output": "Good", "explanation": "The output for the query is Good because the query has no grammatical, punctuation or spelling errors."}, {"input": "Photo montage and animated gif you have gimp 2.6.5 you wanna make some animated gif with still image and make... | [{"input": "Circumflex artery function ?", "output": "Good", "explanation": "The output for the query is incorrect as the query is not well structured and is not a grammatically correct question. The correct answer is Bad."}, {"input": "Photo montage and animated gif you have gimp 2.6.5 you wanna make some animated gif... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task673 | https://huggingface.co/datasets/Lots-of-LoRAs/task673_google_wellformed_query_classification | google wellformed query classification |
115 | task115_help_advice_classification | Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., sug... | [
"Text Categorization"
] | [
"Social Media -> Reddit"
] | [
"help!_need_advice_on_identifying_advice"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Our ruminating thoughts will still show up while you do it but you'll slowly be teaching yourself to let go of those thoughts and let them pass by.", "output": "yes", "explanation": "This sentence suggesting someone to let go of their respective thoughts. Hence the answer is \"yes\"."}, {"input": "Put two o... | [{"input": "You don't have to be an Olympian to be successful in life.", "output": "yes", "explanation": "This is incorrect asnwer. Because this sentence is not suggesting anything. Therefore, the answer should be \"no\"."}, {"input": "If he won't start with medication maybe he will go to support groups.", "output": "n... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task115 | https://huggingface.co/datasets/Lots-of-LoRAs/task115_help_advice_classification | help advice classification |
251 | task251_spl_translation_en_fi | The provided file includes inquiries about restaurants, and we ask you to translate those to the Finnish 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"
] | [
"Finnish"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "are there any \" italian \" restaurants nearby with 10 star reviews ?", "output": "l\u00f6ytyyk\u00f6 l\u00e4helt\u00e4ni yht\u00e4\u00e4n \" italian \" ravintolaa joka on saanut v\u00e4hint\u00e4\u00e4n 10 t\u00e4hden arvioita?", "explanation": "The translation correctly preserves \" italian \" entity and ... | [{"input": "where is the closest \" wendy 's \" ?", "output": "miss\u00e4 on l\u00e4hin wendy 's ?", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "show me the closest \" mcdonald 's \"", "output": "n\u00e4yt\u00e4 minulle l\u00e4hin \" McDonald's \"", "expla... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task251 | https://huggingface.co/datasets/Lots-of-LoRAs/task251_spl_translation_en_fi | spl translation en fi |
756 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "JkbloNUq, nYblowj", "output": "b, j, k, l, n, o, q, u", "explanation": "Here, 'JkbloNUq' is the longer string among the two input strings. Lowercasing it and finding all unique alphabets gives 'b, j, k, l, n, o, q, u'."}, {"input": "QBTBFxpSttwCQElHHYXBKyEd, zIIIDitBtCwCQElHHYXBYymGYkS", "output": "b, c, d,... | [{"input": "enVgoMukw, vtZgoMda", "output": "e, g, k, M, n, o, u, V, w", "explanation": "Here, the answer should have been 'e, g, k, m, n, o, u, v, w'. 'enVgoMukw' is the longer string among the two input strings. Lowercasing it and finding all unique alphabets gives 'e, g, k, m, n, o, u, v, w'."}, {"input": "zBTWV, bc... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task756 | https://huggingface.co/datasets/Lots-of-LoRAs/task756_find_longert_substring_and_return_all_unique_alphabets_in_it | find longert substring and return all unique alphabets in it |
436 | task436_alt_ja_en_translation | In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). | [
"Translation"
] | [
"Public Places"
] | [
"asian_language_treebank"
] | [] | [
"Japanese"
] | [
"English"
] | [
"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\u30dd\u30a4\u30f3\u30c8\u306a\u3057\u3067\u30b0\u30eb\u30fc\u30d7\u6700\u4e0b\u4f4d\u30011\u30dd\u30a4\u30f3\u30c8\u3067\u30eb\u30fc\u30de\u30cb\u30a2\u306e\u4e0b\u4f4d\u306b\u3044\u308b\u3002", "output": "New Zealand lead the group with ten points, ahead of Scotland on ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task436 | https://huggingface.co/datasets/Lots-of-LoRAs/task436_alt_ja_en_translation | alt ja en translation |
1093 | task1093_ted_translation_en_fa | You are given a sentence in English. Your job is to translate the English sentence into Persian. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"English"
] | [
"Persian"
] | [
"English"
] | [
"David Stap"
] | [{"input": "In the southwestern part of Nigeria, the plant is known as Gbe'borun.", "output": "\u062f\u0631 \u062c\u0646\u0648\u0628 \u063a\u0631\u0628 \u0646\u06cc\u062c\u0631\u06cc\u0647 \u060c \u0627\u06cc\u0646 \u06af\u06cc\u0627\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 Gbe 'borun \u0634\u0646\u0627\u062e\... | [{"input": "Now we could compute something related to this, let's say... the GDP of Spain divided by, I don't know, the \u2014 hmmm...", "output": "\u0645\u0646 \u062a\u0645\u0627\u0645 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0648 \u0627\u0632 \u06a9\u0650\u0644\u0650\u0648\u0644\u064e\u0646\u062f \u0648 \u0627\u0650\u0... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1093 | https://huggingface.co/datasets/Lots-of-LoRAs/task1093_ted_translation_en_fa | ted translation en fa |
787 | task787_pawsx_korean_chinese_translation | Given a sentence in Korean, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Korean"
] | [
"Chinese"
] | [
"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": "1975-76\u8d5b\u5b63\u7684\u5168\u56fd\u7bee\u7403\u534f\u4f1a\u662fNBA\u7684\u7b2c30\u4e2a\u8d5b\u5... | [{"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-task787 | https://huggingface.co/datasets/Lots-of-LoRAs/task787_pawsx_korean_chinese_translation | pawsx korean chinese translation |
1323 | task1323_open_subtitles_hi_en_translation | Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect). | [
"Translation"
] | [
"Commonsense -> Concepts and Relations",
"Dialogue",
"Narrative"
] | [
"opensubtitles"
] | [] | [
"Hindi"
] | [
"English"
] | [
"English"
] | [
"Yammanuru Abhilash Reddy"
] | [{"input": "\u0930\u094b\u091c\u0917\u093e\u0930 \u0915\u093e\u0930\u094d\u092f\u093e\u0932\u092f \u091c\u093e\u0913.", "output": "Go to the employment office.", "explanation": "The translation is correct"}, {"input": "\u0935\u0947 \u0924\u0941\u092e\u094d\u0939\u0947\u0902 \u0935\u0930\u094d\u0915 \u092a\u0930\u092e\u... | [{"input": "\u0938\u093e\u0907\u0915\u093f\u0932 \u091a\u094b\u0930\u0940", "output": "THE BICYCLE THIEF", "explanation": "This is a wrong translation since the translation is using noun form of thieft that is thef"}, {"input": "\u0930\u093f\u091a\u094d\u091a\u0940 \u0939\u0948 \u0915\u094d\u092f\u093e?", "output": "Wa... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1323 | https://huggingface.co/datasets/Lots-of-LoRAs/task1323_open_subtitles_hi_en_translation | open subtitles hi en translation |
781 | task781_pawsx_english_chinese_translation | Given a sentence in English, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"English"
] | [
"Chinese"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "The NBA season of 1975 -- 76 was the 30th season of the National Basketball Association .", "output": "1975-76\u8d5b\u5b63\u7684\u5168\u56fd\u7bee\u7403\u534f\u4f1a\u662fNBA\u7684\u7b2c30\u4e2a\u8d5b\u5b63\u3002", "explanation": "This is a correct and accurate translation from English to Chinese because the... | [{"input": "In Paris , in October 1560 , he secretly met the English ambassador , Nicolas Throckmorton , asking him for a passport to return to England through Scotland .", "output": "1560\u5e7410\u6708\uff0c\u4ed6\u5728\u5df4\u9ece\u79d8\u5bc6\u4f1a\u89c1\u4e86\u82f1\u56fd\u5927\u4f7f\u5c3c\u53e4\u62c9\u65af\u00b7\u65... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task781 | https://huggingface.co/datasets/Lots-of-LoRAs/task781_pawsx_english_chinese_translation | pawsx english chinese translation |
259 | task259_spl_translation_tr_en | The provided file includes inquiries about restaurants in Turkish, 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"
] | [] | [
"Turkish"
] | [
"English"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "yak\u0131nda 6 y\u0131ld\u0131z puana sahip \"italian\" restoran\u0131 var m\u0131?", "output": "are there any \" italian \" restaurants nearby with 6 star reviews ?", "explanation": "The translation correctly preserves \" italian \" entity and is accurate"}, {"input": "bu restoran ne t\u00fcr yemekler serv... | [{"input": "en yak\u0131n \"wendy 's\" nerede?", "output": "where is the closest wendy 's ?", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "bana en yak\u0131n \"mcdonald 's\" restoran\u0131n\u0131 g\u00f6ster.", "output": "show me the closest \" McDonald's ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task259 | https://huggingface.co/datasets/Lots-of-LoRAs/task259_spl_translation_tr_en | spl translation tr en |
340 | task340_winomt_classification_gender_pro | In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male. | [
"Gender Classification"
] | [
"Miscellaneous"
] | [
"winomt"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Xudong Shen"
] | [{"input": "Sentence: The mover helped the writer to pack up otherwise he needed to wait for another two hours.\n Profession: mover", "output": "Male", "explanation": "The pronoun \"he\" is linked to the mover and thus the mover is a male."}, {"input": "Sentence: The carpenter received the editor 's order and made her ... | [{"input": "Sentence: The physician told the baker that she had cancer.\n Profession: baker", "output": "Woman", "explanation": "The pronoun \"she\" identifies the \"baker\" as a female. You are expected to return female instead of male."}, {"input": "Sentence: The farmer knows the editor because he likes the book.\n P... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task340 | https://huggingface.co/datasets/Lots-of-LoRAs/task340_winomt_classification_gender_pro | winomt classification gender pro |
1047 | task1047_pib_translation_english_telugu | A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence. | [
"Translation"
] | [
"Sociology",
"News"
] | [
"pib"
] | [] | [
"English"
] | [
"Telugu"
] | [
"English"
] | [
"Krima Doshi",
"Swaroop"
] | [{"input": "Our nation has an experience of 200-225 years in manufacturing metal", "output": "\u0c2e\u0c3e \u0c26\u0c47\u0c36\u0c02 \u0c24\u0c2f\u0c3e\u0c30\u0c40\u0c32\u0c4b 200-225 \u0c38\u0c02\u0c35\u0c24\u0c4d\u0c38\u0c30\u0c3e\u0c32\u0c32\u0c4b \u0c05\u0c28\u0c41\u0c2d\u0c35\u0c02 \u0c09\u0c02\u0c26\u0c3f", "expla... | [{"input": "He advised the staff of NISA about the need to conserve water and make the campus greener by optimally utilising natural resources", "output": "\u0c2d\u0c3e\u0c30\u0c24\u0c26\u0c47\u0c36\u0c02 1992\u0c32\u0c4b \u0c06\u0c38\u0c3f\u0c2f\u0c3e\u0c28\u0c4d \u0c38\u0c46\u0c15\u0c4d\u0c1f\u0c30\u0c32\u0c4d \u0c21... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1047 | https://huggingface.co/datasets/Lots-of-LoRAs/task1047_pib_translation_english_telugu | pib translation english telugu |
1388 | task1388_cb_entailment | In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise. Please answer with "Contradiction", "Neutral", or "Entailment". | [
"Textual Entailment"
] | [
"Dialogue"
] | [
"cb"
] | [
"Textual Entailment",
"Commonsense Reasoning",
"Causal Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Premise: Ockleton, Morpurgo, Cornelius, Dysart and half a dozen others too drunk to mention. But there was so much coming and going that any one of us could have slipped out, pushed Everett through the window and slipped back again without being noticed. Damn it all we didn't even notice Everett was missing... | [{"input": "Premise: B: If, uh, you've some kid uh, who's from a broken family, the schools are supposed to fill that void. It's gotten way beyond uh, you know, teaching classes and maybe providing extracurricular sports activities or something like, oh, were kind of traditionally the school's roles. A: Yeah. Yeah, it... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1388 | https://huggingface.co/datasets/Lots-of-LoRAs/task1388_cb_entailment | cb entailment |
677 | task677_ollie_sentence_answer_generation | Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship. | [
"Data to Text"
] | [
"Narrative"
] | [
"ollie"
] | [
"Relational Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sai Surya Kaushik, Punyamurthula"
] | [{"input": "Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'", "output": "The mailbox was bent and broken and looked like someone had knocked it over on purpose.", "explanation": "The generated sentence contains the two given subjects - someone and it, and they are related to each other on... | [{"input": "Relationship: 'enter', Argument/Subject 1: 'I', Argument/Subject 2: 'name'", "output": "I erased Tom's name on the list of candidates.", "explanation": "The generated sentence contains the two given subjects - I and name, but they are not related to each other on the basis of the given relationship"}, {"inp... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task677 | https://huggingface.co/datasets/Lots-of-LoRAs/task677_ollie_sentence_answer_generation | ollie sentence answer generation |
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