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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
266 | task266_paper_reviews_reviewer_perspective_classification | You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link]. | [
"Sentiment Analysis"
] | [
"Conference"
] | [
"paper_reviews_data_set"
] | [] | [
"Spanish",
"English"
] | [
"English"
] | [
"English"
] | [
"Mihir Parmar"
] | [{"input": "El art\u00edculo presenta un interesante desarrollo de un caso, como una propuesta m\u00e1s de metodolog\u00eda de inicio para la did\u00e1ctica de la l\u00f3gica de programaci\u00f3n. Las conclusiones presentadas no tienen mucho fundamento en t\u00e9rminos del logro del objetivo de inducir de esta manera e... | [{"input": "Unless there is a strong info sci and business IT community for the conference, and unless the paper addresses its shortcomings (which are significant) - it just doesn't measure up.", "output": "positive", "explanation": "Based on the review text, we can see that review is negative. Hence, paper evaluation ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task266 | https://huggingface.co/datasets/Lots-of-LoRAs/task266_paper_reviews_reviewer_perspective_classification | paper reviews reviewer perspective classification |
1543 | task1543_conll2002_parts_of_speech_tagging_answer_generation | In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,... | [
"Pos Tagging"
] | [
"Miscellaneous"
] | [
"conll2022"
] | [] | [
"Dutch"
] | [
"Dutch",
"English"
] | [
"English"
] | [
"Manikanta Ellenki"
] | [{"input": "1968 : 1.", "output": "Num Punc Num Punc", "explanation": "Based on the given question, All of the POS tags are correct."}, {"input": "Misschien raken er wat kiezers overboord door de regularisatieprocedure van illegalen of de snel-Belgwet.", "output": "Adv V Adv Pron N Adv Prep Art N Prep N Conj Art N Punc... | [{"input": "Ik gooi alle ramen open.", "output": "Pron N Pron N Adj Art", "explanation": "In this sentence, the hyphen is tagged as the article instead of punctuation, which is incorrect."}, {"input": "Liaanrozen hebben hele lange , slappe takken.", "output": "N Pron Adj Adj Punc Adj N Punc", "explanation": "In this se... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1543 | https://huggingface.co/datasets/Lots-of-LoRAs/task1543_conll2002_parts_of_speech_tagging_answer_generation | conll2002 parts of speech tagging answer generation |
1270 | task1270_ted_translation_fa_gl | You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Persian"
] | [
"Galician"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u0648\u0642\u062a\u06cc \u0628\u0647 \u0627\u06cc\u0646 \u062c\u0627\u0645\u0639\u0647 \u0647\u0627\u06cc \u062f\u0631 \u062d\u0627\u0644 \u062a\u0648\u0633\u0639\u0647 \u0645\u06cc \u0631\u0648\u06cc\u062f \u0632\u0646\u0647\u0627 \u0631\u06a9\u0646 \u0627\u0635\u0644\u06cc \u0627\u062c\u062a\u0645\u0627\... | [{"input": "\u0627\u06af\u0631 \u06cc\u0647 \u0631\u0648\u0632\u06cc \u0627\u0632 \u0627\u06cc\u0646\u062c\u0627 \u0647\u0645 \u0628\u06cc\u0631\u0648\u0646 \u0628\u0631\u0645 \u060c \u0647\u0645\u0648\u0627\u0631\u0647 \u06cc\u06a9 \u0639\u0644\u0627\u0645\u062a \u0628\u0631 \u0631\u0648\u06cc \u0646\u0627\u0645 \u064... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1270 | https://huggingface.co/datasets/Lots-of-LoRAs/task1270_ted_translation_fa_gl | ted translation fa gl |
451 | task451_opus_paracrawl_tl_en_translation | Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact. | [
"Translation"
] | [
"Web"
] | [
"opus_paracrawl"
] | [] | [
"Tagalog"
] | [
"English"
] | [
"English"
] | [
"Arut Selvan Dhanasekaran"
] | [{"input": "Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams", "output": "Roger Federer was the first player to win 20 Grand Slams", "explanation": "The output is an exact translation of the Tagalog sentence and its meaning remains the same."}, {"input": "Tagalog sentence: Ang tagagawa... | [{"input": "Tagalog sentence: Hindi ako nagugutom ngunit gusto ko pa ring kumain", "output": "I'm not hungry but I don't want to eat.", "explanation": "The English translation changes the actual meaning of the tagalog sentence"}, {"output": "Tagalog sentence: Tawagan mo ako sa umaga, papunta na ako", "input": "Call me ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task451 | https://huggingface.co/datasets/Lots-of-LoRAs/task451_opus_paracrawl_tl_en_translation | opus paracrawl tl en translation |
1615 | task1615_sick_tclassify_b_relation_a | In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cann... | [
"Textual Entailment"
] | [
"Captions -> Video Captions",
"Captions -> Image Captions"
] | [
"sick"
] | [
"Textual Entailment -> Deductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Venkata Sesha Sree Vidya Akkiraju"
] | [{"input": "sentence_A: man is wearing a hard hat and dancing. sentence_B: There is no man with a hard hat dancing.", "output": "B_contradicts_A", "explanation": "The sentence B has opposite meaning as sentence_B says, \"No man with a hat\", but sentence_A says, \"A man is wearing a hat\", so B is contradicting A."}, {... | [{"input": "sentence_A: There is no man playing an instrument. sentence_B: A man is playing an instrument.", "output": "B_neutral_A", "explanation": "B says man is playing an instrument, while A says no man is playing, so this is a contradiction not neutral."}, {"input": "sentence_A: A man is walking slowly across a ro... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1615 | https://huggingface.co/datasets/Lots-of-LoRAs/task1615_sick_tclassify_b_relation_a | sick tclassify b relation a |
082 | task082_babi_t1_single_supporting_fact_question_generation | In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts. | [
"Question Generation"
] | [
"Commonsense -> Concepts and Relations -> Spatial Commonsense"
] | [
"babi"
] | [
"Commonsense Reasoning -> Spatial Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Shailaja Keyur Sampat"
] | [{"input": "Passage: Mary moved to the bathroom. John went to the hallway.", "output": "Where is Mary?", "explanation": "'Mary moved to the bathroom.' is a supporting fact from which we can create a question 'Where is Mary?'"}, {"input": "Passage: Mary moved to the bathroom. John went to the hallway. Daniel went back t... | [{"input": "Passage: Mary moved to the bathroom. John went to the hallway.", "output": "Which place is Mary at?", "explanation": "This is a bad question as it is not of the form 'Where is <person_name>?'. The correct question would be- 'Where is Mary?'"}, {"input": "Passage: Mary moved to the bathroom. John went to the... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task082 | https://huggingface.co/datasets/Lots-of-LoRAs/task082_babi_t1_single_supporting_fact_question_generation | babi t1 single supporting fact question generation |
276 | task276_enhanced_wsc_classification | You will be given two sentences. One of them is created by paraphrasing the original one, with changes on an aspect, or using synonyms. Your task is to decide what is the difference between two sentences. Types of change are explained below:
Tense: The verbs in the sentence are changed in tense.
Number: Plural nouns, ... | [
"Text Matching"
] | [
"Dialogue",
"Narrative"
] | [
"wsc; enhanced_wsc"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "original sentence: Lily spoke to Donna , breaking her silence . paraphrase: Lily is speaking to Donna , breaking her silence .", "output": "Tense", "explanation": "The verbs in this example are changed from past tense to present tense."}, {"input": "original sentence: I'm sure that my map will show this bui... | [{"input": "original sentence: The dog chased the cat , which ran up a tree . It waited at the bottom . paraphrase: The dog is chasing the cat , which is running up a tree . It is waiting at the bottom .", "output": "Voice", "explanation": "The change in the original sentence is to tense, as the past tense verbs are ch... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task276 | https://huggingface.co/datasets/Lots-of-LoRAs/task276_enhanced_wsc_classification | enhanced wsc classification |
1496 | task1496_bengali_reviews_sentiment_classification | In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative. | [
"Sentiment Analysis"
] | [
"Public Places -> Restaurants",
"Reviews -> Restaurants"
] | [
"bengali_restaurant_reviews"
] | [] | [
"Bengali"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "\u098f\u0987 \u099c\u09be\u09af\u09bc\u0997\u09be \u099a\u09ae\u09ce\u0995\u09be\u09b0 \u09aa\u09b0\u09bf\u09ac\u09c7\u09b6 \u09ad\u09be\u09b2\u09ac\u09be\u09b8\u09be \u098f\u09ac\u0982 \u0986\u09ae\u09be\u09b0 \u09aa\u099b\u09a8\u09cd\u09a6\u09c7\u09b0 \u0995\u09bf\u099b\u09c1 \u09aa\u09c7\u09af\u09bc\u09c... | [{"input": "\u098f\u0987 \u099c\u09be\u09af\u09bc\u0997\u09be \u099a\u09ae\u09ce\u0995\u09be\u09b0 \u09aa\u09b0\u09bf\u09ac\u09c7\u09b6 \u09ad\u09be\u09b2\u09ac\u09be\u09b8\u09be \u098f\u09ac\u0982 \u0986\u09ae\u09be\u09b0 \u09aa\u099b\u09a8\u09cd\u09a6\u09c7\u09b0 \u0995\u09bf\u099b\u09c1 \u09aa\u09c7\u09af\u09bc\u09c... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1496 | https://huggingface.co/datasets/Lots-of-LoRAs/task1496_bengali_reviews_sentiment_classification | bengali reviews sentiment classification |
1446 | task1446_farthest_integers | In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Quantitative Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[73, 30, 71, 47, -65, 50, -90, -60]", "output": "163", "explanation": "The maximum absolute difference is 163 because '|-90 - 73| = 163' which is the maximum possible absolute difference. So this is a good example."}, {"input": "[77, 77, -77]", "output": "154", "explanation": "The absolute difference of '77... | [{"input": "[-47, 9, -22, 17, 18]", "output": "[-47, 18]", "explanation": "The output contains the integers that result in the maximum absolute difference. Only the value of the maximum absolute difference should be returned. So this is a bad example."}, {"input": "[13, -8, -50, -40, 38, -24, 13, 14]", "output": "42", ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1446 | https://huggingface.co/datasets/Lots-of-LoRAs/task1446_farthest_integers | farthest integers |
098 | task098_conala_list_intersection | In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of n... | [
"Program Execution"
] | [
"Code -> Repo -> Stack Overflow"
] | [
"conala"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[2,5,1,4],[2,5,8,4,2,0]", "output": "[2,4,5]", "explanation": "The elements 2,4, and 5 are in both lists. This is a good example."}, {"input": "[1,7,5],[0,0,2,4,6]", "output": "[]", "explanation": "There are no elements that are in both lists. So an empty list is output. This is a good example."}] | [{"input": "[1,4,5],[0,0,4,3]", "output": "[0,1,3,4,5]", "explanation": "The union of the lists is returned, where each element is in at least one of the sets. The intersection must be in both sets. This is an incorrect output."}, {"input": "[5,9,1,3,3], [4,3,8,1]", "output": "[1,3,3], [3,1]", "explanation": "There sho... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task098 | https://huggingface.co/datasets/Lots-of-LoRAs/task098_conala_list_intersection | conala list intersection |
591 | task591_sciq_answer_generation | Given a scientific question, generate a correct answer to it. | [
"Question Answering"
] | [
"Natural Science -> School Science Textbooks"
] | [
"sciq"
] | [
"Commonsense Reasoning",
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kuntal Kumar Pal"
] | [{"input": "Who proposed the theory of evolution by natural selection?", "output": "darwin", "explanation": "This is a direct fact that Charles Darwin proposed the theory of evolution."}, {"input": "What is an area of land called that is wet for all or part of the year?", "output": "wetland", "explanation": "A wetland ... | [{"input": "Fluid in the pseudocoelom serves as a hydrostatic what?", "output": "muscles", "explanation": "Fluid in the pseudocoelom serves as a hydrostatic skeleton and not muscles. "}, {"input": "What can refer to a rope in a particular shape and a genetic structure involved in splicing?", "output": "noose", "explana... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task591 | https://huggingface.co/datasets/Lots-of-LoRAs/task591_sciq_answer_generation | sciq answer generation |
1195 | task1195_disflqa_disfluent_to_fluent_conversion | Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence. | [
"Question Rewriting"
] | [
"Wikipedia"
] | [
"disfl_qa"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arjun Ashok"
] | [{"input": "Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?", "output": "Who did the Han Chinese want to help the Mongols fight?", "explanation": "The input initially means Khitan and then changes to Mongols, hence this is correct."}, {"input": "What part did no I meant how many chapters ha... | [{"input": "Where is the oldest known sedimentary sequence or rather rock in the world located?", "output": "How is the oldest known rock in the world located?", "explanation": "The output changes the interrogative word from the input."}, {"input": "For how many years had sea levels been studied in the 2001 report no t... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1195 | https://huggingface.co/datasets/Lots-of-LoRAs/task1195_disflqa_disfluent_to_fluent_conversion | disflqa disfluent to fluent conversion |
1100 | task1100_ted_translation_es_gl | You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Spanish"
] | [
"Galician"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Gracias.", "output": "Grazas.", "explanation": "The Spanish sentence is correctly translated into Galician, because the meaning is preserved."}, {"input": "Ahora, aqu\u00ed nos falta algo, porque no creo que gente como Max Vision deba estar en la c\u00e1rcel.", "output": "Pero aqu\u00ed falta algo, porque n... | [{"input": "Si la obesidad no es m\u00e1s que una cara falsa de la enfermedad metab\u00f3lica, \u00bfQu\u00e9 bien hacemos al castigar esa cara falsa?", "output": "E sei que iso \u00e9 aterrador, ent\u00e9ndoo, pero tam\u00e9n sei, e esta experiencia am\u00f3sanolo, que temos a tecnolox\u00eda e temos a capacidade para... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1100 | https://huggingface.co/datasets/Lots-of-LoRAs/task1100_ted_translation_es_gl | ted translation es gl |
1692 | task1692_qed_amara_translation | This task is about translating a given Spanish language sentence to English. | [
"Translation"
] | [
"Captions -> Video Captions"
] | [
"qed_amara"
] | [] | [
"Spanish"
] | [
"English"
] | [
"English"
] | [
"Siddhesh Jagtap"
] | [{"input": "Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:", "output": "Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.", "explanation": "This is a good example because the Spanish sentence has been translated correctly to English."}, {"input": "Otros ejes.", "output":... | [{"input": "Si alguien est\u00e1 dispuesto a pagar m\u00e1s que eso, quiz\u00e1s la vender\u00edamos.", "output": "Or the snow covered mountains?", "explanation": "This is a bad example because the Spanish sentence has not been translated correctly to English."}, {"input": "Esto se llama la regla del Octeto Porque esos... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1692 | https://huggingface.co/datasets/Lots-of-LoRAs/task1692_qed_amara_translation | qed amara translation |
1101 | task1101_ted_translation_es_it | You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Spanish"
] | [
"Italian"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Aqu\u00ed esta la medusa ala-x de la muerte.", "output": "Qui c'\u00e8 la medusa mortale con le ali ad X.", "explanation": "The Spanish sentence is correctly translated into Italian, because the meaning is preserved."}, {"input": "Pero el final de todos esos viajes en globo fue, sabes \u2014 parec\u00eda qu... | [{"input": "y comparten esta majestuosidad con un cerdo muy grande.", "output": "Quello su cui ho lavorato negli ultimi quattro anni \u00e8 lo sviluppo di biomateriali intelligenti, materiali che possano lavorare con il corpo aiutandolo a guarire e aiutandolo a guarire le ferite naturalmente.", "explanation": "The Span... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1101 | https://huggingface.co/datasets/Lots-of-LoRAs/task1101_ted_translation_es_it | ted translation es it |
1104 | task1104_ted_translation_es_pt | You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Spanish"
] | [
"Portuguese"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Y puede expresar desde admiraci\u00f3n y codicia, hasta ansiedad y angustia.", "output": "Podem assim exprimir tudo desde admira\u00e7\u00e3o e desejo at\u00e9 ansiedade e ang\u00fastia.", "explanation": "The Spanish sentence is correctly translated into Portugese, because the meaning is preserved."}, {"inp... | [{"input": "Y lo que aqu\u00ed mostramos, como en este caso, es que hay pocas personas afectadas, cada vez m\u00e1s y m\u00e1s hasta llegar aqu\u00ed, y aqu\u00ed es el pico de la epidemia.", "output": "E a luz que brilhou dos seus olhos era um lugar onde eu poderia estar para sempre.", "explanation": "The Spanish sent... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1104 | https://huggingface.co/datasets/Lots-of-LoRAs/task1104_ted_translation_es_pt | ted translation es pt |
1234 | task1234_ted_translation_he_en | You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Hebrew"
] | [
"English"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u05de\u05d5\u05e0\u05d8\u05e8\u05d9\u05d9 \u05d4\u05d9\u05d0 \u05d0\u05d7\u05ea \u05de\u05d4\u05dd.", "output": "Monterey is one of those.", "explanation": "The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `\u05de\u05d5\u05e0\u05d8\u05e8\u05d9\u05d9`."}, {"in... | [{"input": "\u05d0\u05dd \u05d4\u05d0\u05d5\u05d1\u05e1\u05e1\u05d9\u05d4 \u05e9\u05dc\u05d9 \u05d4\u05d9\u05ea\u05d4 \u05d7\u05d9\u05d9 \u05e0\u05e6\u05d7, \u05d4\u05d0\u05d5\u05d1\u05e1\u05e1\u05d9\u05d4 \u05e9\u05dc \u05e0\u05d0\u05d1\u05d9\u05d3 \u05d4\u05d9\u05ea\u05d4 \u05de\u05d2\u05e2.", "output": "However, thr... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1234 | https://huggingface.co/datasets/Lots-of-LoRAs/task1234_ted_translation_he_en | ted translation he en |
449 | task449_opus_paracrawl_ig_en_translation | Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact | [
"Translation"
] | [
"Web"
] | [
"opus_paracrawl"
] | [] | [
"Igbo"
] | [
"English"
] | [
"English"
] | [
"Arut Selvan Dhanasekaran"
] | [{"input": "Igbo sentence: Olee kwere omume?", "output": "How is this possible", "explanation": "The English translation means the same as the original sentence in the Igbo language."}, {"input": "Igbo sentence: ututu oma onye obula", "output": "good morning everyone", "explanation": "The output is the exact English tr... | [{"input": "Igbo sentence: Sebastian Vettel na -anya \u1ee5gb\u1ecd ala maka Aston Martin", "output": "Aston Martin is married to Sebastian Vettel", "explanation": "The English translation is not all relevant to the original Igbo sentence."}, {"input": "Olileanya b\u1ee5 ihe d\u1ecb mma", "output": "Hope is not a good ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task449 | https://huggingface.co/datasets/Lots-of-LoRAs/task449_opus_paracrawl_ig_en_translation | opus paracrawl ig en translation |
1248 | task1248_ted_translation_it_ja | You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Italian"
] | [
"Japanese"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Mio padre \u00e8 medico. Ed \u00e8 stato un grande vantaggio per noi. Si \u00e8 occupato di lei in modo fantastico.", "output": "\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\u308... | [{"input": "E ricevetti una email da un editore della Random House con oggetto, \"\" Ottimo lavoro! \"\" Punto esclamativo.", "output": "\u3067\u3082\u3042\u308b\u7a2e\u306e\u60c5\u71b1\u304c\u3042\u308a\u307e\u3057\u305f\u305d\u308c\u306f\u6b21\u306e\u6bb5\u968e \u2015 \u30de\u30a4\u30af\u30ed\u30bd\u30d5\u30c8\u5f8c\... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1248 | https://huggingface.co/datasets/Lots-of-LoRAs/task1248_ted_translation_it_ja | ted translation it ja |
626 | task626_xlwic_sentence_based_on_given_word_sentence_generation | In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'. | [
"Sentence Composition"
] | [
"Miscellaneous"
] | [
"xl_wic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ananth Duggirala"
] | [{"input": "dust", "output": "Another one bites the dust.", "explanation": "The output sentence is grammatically correct and contains the given word. Hence, it is a valid response to the question."}, {"input": "project", "output": "Insecure people tend to project their insecurities onto others.", "explanation": "The ou... | [{"input": "ruler", "output": "True.", "explanation": "The output sentence does not contain the given word."}, {"input": "driver", "output": "Home went driver.", "explanation": "While the output contains the word, it is not a grammatically valid sentence."}, {"input": "small", "output": "Ants are tiny.", "explanation":... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task626 | https://huggingface.co/datasets/Lots-of-LoRAs/task626_xlwic_sentence_based_on_given_word_sentence_generation | xlwic sentence based on given word sentence generation |
1685 | task1685_menyo20k_translation | This task is about translating a given English language sentence to Yoruba language. | [
"Translation"
] | [
"News",
"TED Talks",
"Captions -> Video Captions",
"Natural Science"
] | [
"menyo20k_mt"
] | [] | [
"English"
] | [
"Yoruba"
] | [
"English"
] | [
"Siddhesh Jagtap"
] | [{"input": "While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course.", "output": "B\u00ed \u00f3 ti j\u1eb9\u0301 w\u00ed p\u00e9 o k\u00f2 le\u00e8 f\u00fan \u1eb9nik\u1eb9\u0301ni n\u00edm\u1ecd\u0300r\u00e0n aj\u1eb9m\u00f3f... | [{"input": "The grand experiment that started more than 15 years ago has been a success, including in ways unimagined by CC\u2019s founders.", "output": "\u00c0w\u1ecdn ohun-\u00e8l\u00f2 CC \u0144 \u1e63e \u00ecr\u00e0nw\u1ecd\u0301 n\u00edpa w\u00edw\u00e1 oj\u00fat\u00f9\u00fa s\u00ed \u00ec\u1e63\u00f2ro y\u00ec\u0... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1685 | https://huggingface.co/datasets/Lots-of-LoRAs/task1685_menyo20k_translation | menyo20k translation |
818 | task818_pawsx_japanese_chinese_translation | Given a sentence in Japanese, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Japanese"
] | [
"Chinese"
] | [
"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\u8d5b\u5b63\u7684\u5168\u56fd\u7bee\u7403\u534f\u4f1a\u662fNBA\u7684\u7b2c30\u... | [{"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-task818 | https://huggingface.co/datasets/Lots-of-LoRAs/task818_pawsx_japanese_chinese_translation | pawsx japanese chinese translation |
663 | task663_global_voices_en_fa_translation | In this task, you are given a sentence in English, and your task is to translate it into Persian. | [
"Translation"
] | [
"News"
] | [
"parsinlu"
] | [] | [
"English"
] | [
"Persian"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Egypt (similar results in Jordan)", "output": "\u0645\u0635\u0631 (\u0628\u0627 \u0646\u062a\u0627\u06cc\u062c\u06cc \u0645\u0634\u0627\u0628\u0647 \u062f\u0631 \u0627\u0631\u062f\u0646)", "explanation": "This is a good example. The above sentence is correctly translated from English to Persian."}, {"input"... | [{"input": "Bangladesh: Agriculture and Technology \u00b7 Global Voices", "output": "\u0628\u0646\u06af\u0644\u0627\u062f\u0634: \u0641\u0642\u0631 \u0648 \u06a9\u0634\u0627\u0648\u0631\u0632\u06cc", "explanation": "This translation is incorrect. Hence it's not acceptable."}, {"input": "Blogger Liu KenPeng on Sina.com ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task663 | https://huggingface.co/datasets/Lots-of-LoRAs/task663_global_voices_en_fa_translation | global voices en fa translation |
535 | task535_alt_translation_ch_en | In this task, given a sentence in the Chinese language, your task is to convert it into the English language. | [
"Translation"
] | [
"News"
] | [
"asian_language_treebank"
] | [] | [
"Chinese"
] | [
"English"
] | [
"English"
] | [
"Phani Rohitha Kaza"
] | [{"input": "2004\u5e744\u6708\uff0c\u90a3\u91cc\u7684\u58eb\u5175\u902e\u6355\u4e86\u4e00\u540d16\u5c81\u7684\u5df4\u52d2\u65af\u5766\u4eba\uff0c\u4ed6\u8eab\u4e0a\u7ed1\u7740\u4e00\u679a\u81ea\u6740\u5f0f\u70b8\u5f39\u3002", "output": "In April 2004, soldiers there arrested a 16-year-old, also Palestinian, with a suic... | [{"input": "\u201c\u7b2c\u4e8c\u6b21\u624b\u672f\u603b\u662f\u9700\u8981\u66f4\u957f\u7684\u65f6\u95f4\uff0c\u800c\u4e14\u5f88\u96be\u5230\u8fbe\u5fc3\u810f\u3002\u201d", "output": "Relegation bound Watford will meet Blackburn in the Premiership next, while United have a league game of their own at Old Trafford against... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task535 | https://huggingface.co/datasets/Lots-of-LoRAs/task535_alt_translation_ch_en | alt translation ch en |
532 | task532_europarl_en-es_classification | In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No" | [
"Text Matching"
] | [
"Government and Politics"
] | [
"europarl"
] | [] | [
"English",
"Spanish"
] | [
"English"
] | [
"English"
] | [
"Ishan Purohit"
] | [{"input": "English: Resumption of the session \n Spanish: Reanudaci\u00f3n del per\u00edodo de sesiones", "output": "Yes", "explanation": "The English sentence correctly translated into a Spanish sentence because it's translated all the words and prepositions in the sentence \"Resumption of the session\" correctly."},... | [{"input": "English: Resumption of the session \n Spanish: Reanudaci\u00f3n del per\u00edodo de sesiones", "output": "True", "explanation": "The answer can only be Yes or No."}, {"input": "English: Hello, Where are you from? \n Spanish: Hola donde estas situado", "output": "False", "explanation": "The answer can only b... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task532 | https://huggingface.co/datasets/Lots-of-LoRAs/task532_europarl_en-es_classification | europarl en-es classification |
1037 | task1037_pib_translation_telugu_urdu | A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence. | [
"Translation"
] | [
"Sociology",
"News"
] | [
"pib"
] | [] | [
"Telugu"
] | [
"Urdu"
] | [
"English"
] | [
"Krima Doshi",
"Swaroop"
] | [{"input": "\u0c35\u0c4d\u0c2f\u0c35\u0c38\u0c3e\u0c2f \u0c15\u0c3e\u0c30\u0c4d\u0c2f\u0c15\u0c32\u0c3e\u0c2a\u0c3e\u0c32\u0c41 \u0c2e\u0c30\u0c3f\u0c2f\u0c41 \u0c38\u0c4d\u0c35\u0c2f\u0c02 \u0c09\u0c2a\u0c3e\u0c27\u0c3f \u0c15\u0c3e\u0c30\u0c23\u0c02\u0c17\u0c3e \u0c09\u0c2a\u0c3e\u0c27\u0c3f \u0c15\u0c32\u0c4d\u0c2a\... | [{"input": "\u0c2a\u0c3f\u0c32\u0c4d\u0c32\u0c32\u0c2a\u0c48 \u0c32\u0c48\u0c02\u0c17\u0c3f\u0c15 \u0c28\u0c47\u0c30\u0c3e\u0c32 \u0c15\u0c41 \u0c15\u0c20\u0c3f\u0c28 \u0c36\u0c3f\u0c15\u0c4d\u0c37", "output": "\u06cc\u0633 \u0622\u0626\u06cc \u0627\u06cc\u0645 \u0645\u0648\u0644\u06cc", "explanation": "Incorrect trans... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1037 | https://huggingface.co/datasets/Lots-of-LoRAs/task1037_pib_translation_telugu_urdu | pib translation telugu urdu |
1576 | task1576_amazon_reviews_multi_english_language_classification | In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is english or non-english | [
"Language Identification"
] | [
"Reviews"
] | [
"multilingual_amazon_reviews"
] | [] | [
"English",
"Japanese",
"German",
"French",
"Chinese",
"Spanish"
] | [
"English"
] | [
"English"
] | [
"Sai Pavan Kalyan Reddy Konda"
] | [{"input": "my first order of this product and it was broke", "output": "english", "explanation": "This is a good example because review is in english language and output is english"}, {"input": " It got discolored in less than a month", "output": "english", "explanation": "This is a good example because review is in e... | [{"input": "shipped 1 promised by certain day", "output": "non-english", "explanation": " This is a bad example because review is in english language but the output is non-english"}, {"input": "done band across the top", "output": "non-english", "explanation": " This is a bad example because review is in english langu... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1576 | https://huggingface.co/datasets/Lots-of-LoRAs/task1576_amazon_reviews_multi_english_language_classification | amazon reviews multi english language classification |
1426 | task1426_country_independence_year | In this task, you are given a country name, and you need to return the year in which the country became independent. Independence is a nation's independence or statehood, usually after ceasing to be a group or part of another nation or state, or more rarely after the end of military occupation. | [
"Misc."
] | [
"Countries"
] | [
"country_independence_year_dataset"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sumanta Patro"
] | [{"input": "Angola", "output": "1975", "explanation": "1975 is the year of independence of Angola."}, {"input": "Iran", "output": "1906", "explanation": "1906 is the year of independence of Iran."}] | [{"input": "Afghanistan", "output": "1912", "explanation": "1912 is not the year of independence of Afghanistan. However, 1919 is year of independence of Afghanistan."}, {"input": "Bhutan", "output": "1919", "explanation": "1919 is not the year of independence of Bhutan. However, 1910 is year of independence of Bhutan.... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1426 | https://huggingface.co/datasets/Lots-of-LoRAs/task1426_country_independence_year | country independence year |
764 | task764_emea_bg_el_classification | In this task, you are given a sentence in the Bulgarian language and corresponding Greek translation of this sentence. Here, your job is to generate label "True" if translation is correct, otherwise generate label "False". | [
"Text Matching"
] | [
"Miscellaneous"
] | [
"emea_fr_sk"
] | [] | [
"Bulgarian"
] | [
"English"
] | [
"English"
] | [
"Vijay Kumawat"
] | [{"input": "\u041f\u043e\u0434\u0434\u044a\u0440\u0436\u0430\u0449\u0430\u0442\u0430 \u0434\u043e\u0437\u0430 \u0435 15 mg \u0432\u0435\u0434\u043d\u044a\u0436 \u0434\u043d\u0435\u0432\u043d\u043e, \u043d\u043e \u043f\u0440\u0438 \u043d\u044f\u043a\u043e\u0438 \u043f\u0430\u0446\u0438\u0435\u043d\u0442\u0438 \u043f\u04... | [{"input": "9 Dans trois \u00e9tudes court terme (4 \u00e0 6 semaines) contr\u00f4l\u00e9es versus placebo portant sur 1.228 patients schizophr\u00e8nes pr\u00e9sentant des sympt\u00f4mes positifs ou n\u00e9gatifs, l'aripiprazole a montr\u00e9 une am\u00e9lioration significativement plus importante des sympt\u00f4mes p... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task764 | https://huggingface.co/datasets/Lots-of-LoRAs/task764_emea_bg_el_classification | emea bg el classification |
096 | task096_conala_list_index_subtraction | In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first eleme... | [
"Program Execution"
] | [
"Code -> Repo -> Stack Overflow"
] | [
"conala"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[9,-6,-10,4,-8]", "output": "[8,-8,-13,0,-13]", "explanation": "Every element in the output list is equal to the element in the input list subtracted by its index. 9 - 1 = 8, -6 - 2 = -8, -10 - 3 = -13, 4-4 = 0, -8 -5 = -13. This is a good example."}, {"input": "[5,2,-9]", "output": "[4,0,-12]", "explanatio... | [{"input": "[-9,-4,-7,1,3]", "output": "[-9,-5,-9,-2,-4]", "explanation": "The output list subtracted indexes from the input list but started at index 0. -9 - 0 = -9, -4 - 1 = -5, etc. You should start counting at index 1. This is an incorrect output."}, {"input": "[1,2,3,4,5,6]", "output": "[0,1,2,3,4,5]", "explanatio... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task096 | https://huggingface.co/datasets/Lots-of-LoRAs/task096_conala_list_index_subtraction | conala list index subtraction |
257 | task257_spl_translation_ar_en | The provided file includes inquiries about restaurants in Arabic, 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"
] | [] | [
"Arabic"
] | [
"English"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "\u0647\u0644 \u0647\u0646\u0627\u0643 \u0623\u064a \u0645\u0637\u0627\u0639\u0645 \" italian \" \u0628\u0627\u0644\u0642\u0631\u0628 \u0645\u0646 8 \u0645\u0646 \u0627\u0644\u062a\u0642\u064a\u064a\u0645\u0627\u062a \u0628\u0627\u0644\u0646\u062c\u0648\u0645\u061f", "output": "are there any \" italian \" re... | [{"input": "\u0623\u064a\u0646 \u064a\u0648\u062c\u062f \u0623\u0642\u0631\u0628 \" wendy 's \"\u061f", "output": "where is the closest wendy 's ?", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "\u0623\u0631\u0646\u064a \u0623\u0642\u0631\u0628 \" mcdonald '... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task257 | https://huggingface.co/datasets/Lots-of-LoRAs/task257_spl_translation_ar_en | spl translation ar en |
471 | task471_haspart_answer_generation | Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holo... | [
"Entity Generation"
] | [
"Natural Science"
] | [
"haspart_kb"
] | [
"Relational Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "plant", "output": "stem", "explanation": "The answer is correct. Because a stem is one of two main structural axes of a vascular plant, the other being the root. Therefore, stem (i.e., meronym) is the part of plant (i.e., holonym)."}, {"input": "hagfish", "output": "heart", "explanation": "Hagfish is a livi... | [{"input": "human", "output": "tail", "explanation": "Humans does not have any tails. Therefore, the answer is incorrect as tail is not the part of the human."}, {"input": "food", "output": "brick", "explanation": "This is wrong answer because brick is not edible. Hence, brick is not part of any food."}, {"input": "fac... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task471 | https://huggingface.co/datasets/Lots-of-LoRAs/task471_haspart_answer_generation | haspart answer generation |
575 | task575_air_dialogue_classification | In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer". | [
"Speaker Identification"
] | [
"Dialogue"
] | [
"air_dialogue"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Jayavardhan Karampudi"
] | [{"input": "Hello. How may I aid you today?", "output": "agent", "explanation": "This is a pretty straightforward dialogue, and the speaker wants to help the other. So, the agent is the speaker."}, {"input": "I am Alexander Wright.", "output": "customer", "explanation": "In this example, the customer mentions his name ... | [{"input": "I would start my trip on 10/01 and return on 10/03.", "output": "agent", "explanation": "In this example, the speaker gives some information about the dates of his trip, which means that he wants a service. So, the speaker is the customer."}, {"input": "Thank you for reaching us, have a nice day.", "output"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task575 | https://huggingface.co/datasets/Lots-of-LoRAs/task575_air_dialogue_classification | air dialogue classification |
1505 | task1505_root09_semantic_relation_classification | Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific ... | [
"Word Relation Classification"
] | [
"Commonsense -> Concepts and Relations"
] | [
"root09"
] | [
"Relational Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Atharva Naik"
] | [{"input": "X: turtle, Y: flow", "output": "RANDOM", "explanation": "Turtle and flow have no relation, so RANDOM is the correct label."}, {"input": "X: bowl, Y: game", "output": "HYPER", "explanation": "Bowl and game are HYPER because bowling is a game."}, {"input": "X: whale, Y: salmon", "output": "COORD", "explanatio... | [{"input": "X: giraffe, Y: trade", "output": "COORD", "explanation": "The correct relation is RANDOM, as they donot have any relationship, so COORD is incorrect."}, {"input": "X: maximum, Y: extreme", "output": "RANDOM", "explanation": "Maximum and extreme are HYPER as maximum can be regarded as a specific instance of ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1505 | https://huggingface.co/datasets/Lots-of-LoRAs/task1505_root09_semantic_relation_classification | root09 semantic relation classification |
992 | task992_pib_translation_tamil_english | A text is given in Tamil. Translate it from the Tamil language to the English language. The translation must not omit or add information to the original sentence. | [
"Translation"
] | [
"Sociology",
"News"
] | [
"pib"
] | [] | [
"Tamil"
] | [
"English"
] | [
"English"
] | [
"Krima Doshi",
"Swaroop"
] | [{"input": "\u0b95\u0bc1\u0bb4\u0bc1\u0bb5\u0bbf\u0ba9\u0bcd \u0b85\u0ba9\u0bc8\u0ba4\u0bcd\u0ba4\u0bc1 \u0b89\u0bb1\u0bc1\u0baa\u0bcd\u0baa\u0bbf\u0ba9\u0bb0\u0bcd\u0b95\u0bb3\u0bc8\u0baf\u0bc1\u0bae\u0bcd \u0baa\u0bbf\u0bb0\u0ba4\u0bae\u0bb0\u0bcd \u0bb5\u0bbe\u0bb4\u0bcd\u0ba4\u0bcd\u0ba4\u0bbf\u0ba9\u0bbe\u0bb0\u0b... | [{"input": "\u0b9a\u0bbf \u0b95\u0ba9\u0bb0\u0b95 \u0b95\u0bb0\u0bc1\u0bae\u0bcd\u0baa\u0bc1\u0b95\u0bcd\u0b95\u0bb4\u0bbf\u0bb5\u0bc1\u0b9a\u0bcd \u0b9a\u0bbe\u0bb1\u0bbf\u0bb2\u0bbf\u0bb0\u0bc1\u0ba8\u0bcd\u0ba4\u0bc1 \u0b8e\u0b9f\u0bc1\u0b95\u0bcd\u0b95\u0baa\u0bcd\u0baa\u0b9f\u0bc1\u0bae\u0bcd \u0b8e\u0ba4\u0bcd\u0... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task992 | https://huggingface.co/datasets/Lots-of-LoRAs/task992_pib_translation_tamil_english | pib translation tamil english |
448 | task448_opus_paracrawl_en_tl_translation | Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact. | [
"Translation"
] | [
"Web"
] | [
"opus_paracrawl"
] | [] | [
"English"
] | [
"Tagalog"
] | [
"English"
] | [
"Arut Selvan Dhanasekaran"
] | [{"input": "English sentence: Roger Federer was the first player to win 20 Grand Slams", "output": "Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams", "explanation": "The output is an exact translation of the English sentence to it's Tagalog equivalent and meaning remains the same."}, {"input": "English... | [{"input": "English sentence: It does not do to dwell on dreams and forget to live", "output": "Hindi nito nagagawa upang mapag-isipan ang mga pangarap at kalimutan na mabuhay.", "explanation": "The Tagalog translation contains extra words which changes the meaning of the original English text."}, {"input": "English se... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task448 | https://huggingface.co/datasets/Lots-of-LoRAs/task448_opus_paracrawl_en_tl_translation | opus paracrawl en tl translation |
1127 | task1127_alt_ja_th_translation | Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is. | [
"Translation"
] | [
"News"
] | [
"asian_language_treebank"
] | [] | [
"Japanese"
] | [
"Thai"
] | [
"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": "\u0e... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1127 | https://huggingface.co/datasets/Lots-of-LoRAs/task1127_alt_ja_th_translation | alt ja th translation |
345 | task345_hybridqa_answer_generation | In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | [
"Pos Tagging"
] | [
"Wikipedia"
] | [
"hybridqa"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "Who were the builders of the mosque in Herat with fire temples ?", "output": "WP VBD DT NNS IN DT NN IN NNP IN NN NNS .", "explanation": "This is a good example. All of the POS tags are correct."}, {"input": "After what season did the number 7 competitor retire ?", "output": "IN WP NN VBD DT NN CD NN NN .",... | [{"input": "What year was the 1971-72 ECAC Hockey Player of the Year born ?", "output": "VBD NN VBD DT JJ NNP NNP NNP IN DT NNP VBN .", "explanation": "\"What\" is a Wh-pronoun and its POS tag should be WP instead of VBD(past tense verb)."}, {"input": "After what season did the number 7 competitor retire ?", "output": ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task345 | https://huggingface.co/datasets/Lots-of-LoRAs/task345_hybridqa_answer_generation | hybridqa answer generation |
989 | task989_pib_translation_marathi_urdu | A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence. | [
"Translation"
] | [
"Sociology",
"News"
] | [
"pib"
] | [] | [
"Marathi"
] | [
"Urdu"
] | [
"English"
] | [
"Krima Doshi",
"Swaroop"
] | [{"input": "\u092e\u093f\u0924\u094d\u0930\u093e\u0902\u0928\u094b, \u092e\u093e\u091d\u0940 \u0939\u0940 \u0938\u0942\u091a\u0928\u093e \u0924\u0941\u092e\u094d\u0939\u093e\u0932\u093e \u0928\u093f\u0936\u094d\u091a\u093f\u0924\u091a \u091a\u093e\u0902\u0917\u0932\u0940 \u0935\u093e\u091f\u0932\u0940 \u0905\u0938\u092... | [{"input": "\u0927\u0930\u094d\u092e\u0935\u0940\u0930 \u0915\u0941\u092e\u093e\u0930", "output": "\u0635\u0627\u0631\u0641\u06cc\u0646 \u06a9\u06d2 \u0627\u0645\u0648\u0631\u060c \u062e\u0648\u0631\u0627\u06a9 \u0627\u0648\u0631 \u062a\u0642\u0633\u06cc\u0645 \u0639\u0627\u0645\u06c1 \u06a9\u06d2 \u0648\u0632\u06cc\u0... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task989 | https://huggingface.co/datasets/Lots-of-LoRAs/task989_pib_translation_marathi_urdu | pib translation marathi urdu |
179 | task179_participant_extraction | In medical studies, treatments are tested within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that give information about the participants of the study. You should list the phrases in the same order that they appear in the text, separated by com... | [
"Information Extraction"
] | [
"Medicine"
] | [
"pico"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "A PPARA Polymorphism Influences the Cardiovascular Benefit of Fenofibrate in Type 2 Diabetes: Findings From ACCORD Lipid. ", "output": "Type 2 Diabetes", "explanation": "The only piece of text relevant to participants is \"Type 2 Diabetes\" which is a medical condition."}, {"input": "A total of 270 patients... | [{"input": "A total of 270 patients with MCI were enrolled in a 24-week, multicenter, randomized, double-blind, placebo-controlled study.", "output": "270 patients with MCI, 24-week", "explanation": "The duration of the study is not relevant to the participants and shouldn't be included."}, {"input": " To investigate t... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task179 | https://huggingface.co/datasets/Lots-of-LoRAs/task179_participant_extraction | participant extraction |
1132 | task1132_xcsr_ur_commonsense_mc_classification | In this task, you will be presented with a question having multiple possible answers in Urdu 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"
] | [
"Urdu"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Question: \u06a9\u06cc\u0648\u06ba \u0627\u06cc\u06a9 \u0634\u062e\u0635 \u0628\u063a\u06cc\u0631 \u06a9\u0633\u06cc \u062a\u0646\u062e\u0648\u0627\u06c1 \u06a9\u06d2 \u0627\u067e\u0646\u06cc \u0645\u0644\u0627\u0632\u0645\u062a \u067e\u0631 \u0642\u0627\u0626\u0645 \u0631\u06c1\u06d2 \u06af\u0627\u061f \n ... | [{"input": "Question: \u0679\u06a9\u0679 \u0628\u0648\u062a\u06be \u0646\u06d2 \u0633\u0648\u0627\u0631\u0648\u06ba \u06a9\u0648 \u0645\u0637\u0644\u0639 \u06a9\u06cc\u0627 \u06a9\u06c1 \u0679\u0631\u06cc\u0646 \u062f\u06cc\u0631 \u0633\u06d2 \u0686\u0644 \u0631\u06c1\u06cc \u06c1\u06d2 \u060c \u062a\u0648 \u0679\u06a9... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1132 | https://huggingface.co/datasets/Lots-of-LoRAs/task1132_xcsr_ur_commonsense_mc_classification | xcsr ur commonsense mc classification |
681 | task681_hope_edi_malayalam_text_classification | Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion | [
"Text Categorization"
] | [
"Social Media"
] | [
"hope_edi"
] | [
"Reasoning on Social Interactions"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sai Surya Kaushik, Punyamurthula"
] | [{"input": "\u0d28\u0d3f\u0d19\u0d4d\u0d19\u0d7e\u0d15\u0d4d \u0d28\u0d32\u0d4d\u0d32\u0d24\u0d4d \u0d35\u0d30\u0d41\u0d02.....", "output": "Hope Speech", "explanation": "The given text contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion and is in expec... | [{"input": "Sad story ... mikyavardeyum vicharam gay", "output": "Hope Speech", "explanation": "The given text does not contain content that is neither encouraging, positive and supportive contents nor talks about equality, diversity and inclusion although it is in expected language. So it is wrongly classified as Hope... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task681 | https://huggingface.co/datasets/Lots-of-LoRAs/task681_hope_edi_malayalam_text_classification | hope edi malayalam text classification |
835 | task835_mathdataset_answer_generation | Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | [
"Question Answering"
] | [
"Mathematics"
] | [
"mathmatics_dataset"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Chirag Vartak"
] | [{"input": "Let y = -74 - -79. Solve 0 = -y*q - 13 + 3 for q.", "output": "-2", "explanation": "Solving the two equations, we find that the value of q is -2. The solution can be obtained by simply solving the equations one after another using substitution."}, {"input": "Work out 29.8 + -0.18.", "output": "29.62", "expl... | [{"input": "Let y = -48 - -65. Solve -4*o = 5 - y for o.", "output": "0", "explanation": "The solution for o for the given simultaneous equations is 3, not zero. Hence, this is an incorrect answer for the question asked."}, {"input": "What is the distance between 0.055 and 21.35?", "output": "21.405", "explanation": "T... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task835 | https://huggingface.co/datasets/Lots-of-LoRAs/task835_mathdataset_answer_generation | mathdataset answer generation |
1376 | task1376_newscomm_translation | This task is to translate a news commentary given in Italian language into Zhuang 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"
] | [] | [
"Italian"
] | [
"Zhuang"
] | [
"English"
] | [
"Vagisha Gupta"
] | [{"input": "Cosa \u00e8 andato storto nel 2008?", "output": "2008\u5e74\u8d25\u5728\u4f55\u5904\uff1f", "explanation": "The translation is proper and the important numerical value is preserved."}, {"input": "Bisogna mettere in pratica la soluzione, ed essere disposti a cambiare corso se risulta che in realt\u00e0 non s... | [{"input": "Il primo libro \u00e8 The Shifts and the Shocks(Gli spostamenti e gli shock, ndt) scritto dal giornalista britannico conservatore Martin Wolf che apre il libro catalogando i principali spostamenti che hanno creato le condizioni per il disastro economico che continua a delineare il mondo di oggi. Il suo punt... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1376 | https://huggingface.co/datasets/Lots-of-LoRAs/task1376_newscomm_translation | newscomm translation |
1143 | task1143_xcsr_it_commonsense_mc_classification | In this task, you will be presented with a question having multiple possible answers in Italian 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"
] | [
"Italian"
] | [
"English"
] | [
"English"
] | [
"Maitreya Patel"
] | [{"input": "Question: Lo studio dentistico si \u00e8 occupato di molti pazienti che hanno subito lesioni traumatiche alla bocca, da dove venivano questi pazienti? \n Options: (A) citt\u00e0 (B) michigan (C) edificio per uffici (D) scuole (E) ospedale ", "output": "E", "explanation": "This is the correct answer because ... | [{"input": "Question: John non sapeva cosa prendere per nessuno. Comprare i regali di Natale era stressante per lui, e finire era cosa? \n Options: (A) sollievo (B) felicit\u00e0 (C) molto triste (D) mancanza di denaro (E) debito ", "output": "D", "explanation": "John was stressed on buying the Christmas presents. Henc... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1143 | https://huggingface.co/datasets/Lots-of-LoRAs/task1143_xcsr_it_commonsense_mc_classification | xcsr it commonsense mc classification |
263 | task263_spl_translation_pl_en | The provided file includes inquiries about restaurants in Polish, 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"
] | [] | [
"Polish"
] | [
"English"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "czy w pobli\u017cu znajduj\u0105 si\u0119 jakiekolwiek restauracje \" italian \" z opiniami z 0 gwiazdk\u0105/gwiazdkami?", "output": "are there any \" italian \" restaurants nearby with 0 star reviews ?", "explanation": "The translation correctly preserves \" italian \" entity and is accurate"}, {"input": ... | [{"input": "gdzie znajduje si\u0119 najbli\u017cszy obiekt \" wendy 's \"?", "output": "where is the closest wendy 's ?", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "wy\u015bwietl najbli\u017cszy obiekt \" mcdonald 's \"", "output": "show me the closest \"... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task263 | https://huggingface.co/datasets/Lots-of-LoRAs/task263_spl_translation_pl_en | spl translation pl en |
1539 | task1539_kannada_offenseval_dravidian_classification | In this task, you're given statements in native Kannada language. The statement can be written with the Kannada alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do not in... | [
"Toxic Language Detection"
] | [
"Social Media"
] | [
"offenseval_dravidian"
] | [] | [
"Kannada"
] | [
"English"
] | [
"English"
] | [
"Mamatha Juluru"
] | [{"input": "\u0caf\u0cbe\u0cb0\u0cbf\u0c97\u0cc2 \u0caf\u0cbe\u0cb0\u0cc1 \u0c97\u0cc2\u0ca4\u0cc0\u0cb2\u0cbe \u0cb8\u0cb0\u0ccd \u0c86\u0ca6\u0cb0\u0cc7 \u0ca8\u0cae\u0ccd\u0cae \u0ca7\u0cc1\u0ca2\u0cc0\u0cae\u0cc7 \u0ca8\u0cae\u0c97\u0cc6 \u0cb8\u0cb0\u0ccd", "output": "Not offensive", "explanation": "This statem... | [{"input": "\u0cb5\u0cbf\u0cad\u0cbf\u0ca8\u0ccd\u0ca8 \u0cb9\u0cbe\u0ca1\u0cc1...n\u0c85\u0ca6\u0ccd\u0cad\u0cc1\u0ca4 \u0cb5\u0cbe\u0c97\u0cbf\u0ca6\u0cc6 \u0cb6\u0cc7\u0c9f\u0ccd\u0cb0\u0cc6", "output": "Offensive", "explanation": "The statement is a positive comment about a song."}, {"input": "\u0c95\u0ca8\u0ccd\u0... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1539 | https://huggingface.co/datasets/Lots-of-LoRAs/task1539_kannada_offenseval_dravidian_classification | kannada offenseval dravidian classification |
1257 | task1257_ted_translation_pl_ja | You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Polish"
] | [
"Japanese"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Wszystko jest robione pomi\u0119dzy \u017cebrami.", "output": "\u5168\u3066\u808b\u9aa8\u306e\u9593\u304b\u3089\u884c\u3046\u306e\u3067\u3059", "explanation": "The Polish sentence is correctly translated into Japanese, because the meaning is preserved."}, {"input": "Gilead, firma posiadaj\u0105ca na niego p... | [{"input": "Obecnie u\u017cywamy 50% s\u0142odkich w\u00f3d na Ziemi, co jest w miar\u0119 rozs\u0105dne, ale samo rolnictwo u\u017cywa z tego 70%.", "output": "\u672c\u5f53\u306b\u3069\u3053\u304b\u3089\u6765\u308b\u3093\u3067\u3057\u3087\u3046 \uff1f", "explanation": "The Polish sentence is not correctly translated i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1257 | https://huggingface.co/datasets/Lots-of-LoRAs/task1257_ted_translation_pl_ja | ted translation pl ja |
718 | task718_mmmlu_answer_generation_machine_learning | You are given a question on machine learning. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Computer Science -> Machine Learning"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Logical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Statement 1| Linear regression estimator has the smallest variance among all unbiased estimators. Statement 2| The coefficients \u03b1 assigned to the classifiers assembled by AdaBoost are always non-negative.\n(A)True, True (B)False, False (C)True, False (D)False, True", "output": "D", "explanation": "Stat... | [{"input": "Statement 1| Linear regression estimator has the smallest variance among all unbiased estimators. Statement 2| The coefficients \u03b1 assigned to the classifiers assembled by AdaBoost are always non-negative.\n(A)True, True (B)False, False (C)True, False (D)False, True", "output": "I dont know.", "explanat... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task718 | https://huggingface.co/datasets/Lots-of-LoRAs/task718_mmmlu_answer_generation_machine_learning | mmmlu answer generation machine learning |
1150 | task1150_delete_max_min | In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Your answer should be a ... | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [
"Reasoning on Numbers"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Ravsehaj Singh Puri"
] | [{"input": "[1,45,23,67,83]", "output": "[45,23,67]", "explanation": "1 is the minimum element and it is removed and 83 is the maximum element and it is also removed from the result."}, {"input": "[23,45,34,12,87,98,102]", "output": "[23,45,34,87,98]", "explanation": "12 is the minimum element and it is removed and 102... | [{"input": "[22,44,67,87,98,104,106]", "output": "[22,44,67,87,98,104]", "explanation": "22 is the minimum element but it is not removed from the result."}, {"input": "[45,56,102,345,23,12,16,67]", "output": "[102,45,56,23,67,16]", "explanation": "12 is the minimum element and 345 is the maximum element and both are re... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1150 | https://huggingface.co/datasets/Lots-of-LoRAs/task1150_delete_max_min | delete max min |
1259 | task1259_ted_translation_pl_ar | You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Polish"
] | [
"Arabic"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Poradzi sobie, ale trzeba na ni\u0105 uwa\u017ca\u0107.", "output": "\u0644\u0630\u0627 \u0646\u0639\u0644\u0645 \u0623\u0646\u0647\u0627 \u0633\u062a\u0643\u0648\u0646 \u0646\u0627\u062c\u062d\u0629. \u0648\u0644\u0643\u0646 \u0639\u0644\u064a\u0646\u0627 \u0645\u0631\u0627\u0642\u0628\u062a\u0647\u0627", ... | [{"input": "Wydatki rz\u0119du 3 miliard\u00f3w dolar\u00f3w na obozy uchod\u017ac\u00f3w, aby pom\u00f3c ludziom, kt\u00f3rzy zostali wyrzuceni z dom\u00f3w, przez suda\u0144ski rz\u0105d, przez milicj\u0119 D\u017cand\u017cawid\u00f3w, aby utrzyma\u0107 tych ludzi przy \u017cyciu zanim powstanie co\u015b trwalszego."... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1259 | https://huggingface.co/datasets/Lots-of-LoRAs/task1259_ted_translation_pl_ar | ted translation pl ar |
020 | task020_mctaco_span_based_question | The answer will be 'yes' if the provided sentence contains an explicit mention that answers the given question. Otherwise, the answer should be 'no'. Instances where the answer is implied from the sentence using "instinct" or "common sense" (as opposed to being written explicitly in the sentence) should be labeled as '... | [
"Answerability Classification"
] | [
"News",
"Wikipedia",
"Law",
"Justice",
"History",
"History -> 9/11 Reports",
"Anthropology",
"School Science Textbooks",
"Fiction"
] | [
"mctaco"
] | [
"Temporal Reasoning",
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Swaroop Mishra",
"Daniel Khashabi"
] | [{"input": "Sentence: Jack played basketball for an hour after school, after which he was very tired. \nQuestion: How long did Jack play basketball?", "output": "Yes.", "explanation": "The answer to this question (an hour) lies in its text."}, {"input": "Sentence: He was born in China, so he went to the Embassy at 1 p... | [{"input": "Sentence: Jack played basketball after school, after which he was very tired. \nQuestion: How long did Jack play basketball?", "output": "No.", "explanation": "The answer to this question is not present in its text and it requires commonsense to answer."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task020 | https://huggingface.co/datasets/Lots-of-LoRAs/task020_mctaco_span_based_question | mctaco span based question |
1272 | task1272_ted_translation_fa_pl | You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Persian"
] | [
"Polish"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u0627\u06cc\u0644\u0627\u0646: \u062f\u0631\u0633\u062a\u0647. \u0627\u06cc\u0646 \u0645\u0647\u0645\u0647 \u06a9\u0647 \u0628\u062e\u0634 \u0647\u0627\u06cc \u0631\u0627\u06a9\u062a \u0628\u062a\u0648\u0646\u0646\u062f \u0628\u0631\u06af\u0631\u062f\u0646\u062f \u0648 \u0628\u062a\u0648\u0646\u0646\u062f ... | [{"input": "\u0628\u0647 \u062e\u0627\u0637\u0631 \u0627\u06cc\u0646\u06a9\u0647 \u0645\u0631\u062f\u0627\u0646\u06cc \u06a9\u0647 \u0628\u0647 \u0633\u0648\u06cc \u0622\u0646\u0647\u0627 \u0645\u06cc \u0631\u0648\u0646\u062f \u0645\u0631\u062f\u0627\u0646\u06cc \u0646\u06cc\u0633\u062a\u0646\u062f \u06a9\u0647 \u0628\... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1272 | https://huggingface.co/datasets/Lots-of-LoRAs/task1272_ted_translation_fa_pl | ted translation fa pl |
806 | task806_pawsx_german_japanese_translation | Given a sentence in German, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"German"
] | [
"Japanese"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "Die NBA-Saison 1975 - 76 war die 30. Saison der 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", "explanat... | [{"input": "Im Oktober 1560 traf er sich in Paris heimlich mit dem englischen Botschafter Nicolas Throckmorton und bat ihn um einen Pass, um durch Schottland nach England zur\u00fcckzukehren.", "output": "1560\u5e7410\u6708\u3001\u5f7c\u306f\u30d1\u30ea\u3067\u30a4\u30ae\u30ea\u30b9\u306e\u5927\u4f7f\u30cb\u30b3\u30e9\... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task806 | https://huggingface.co/datasets/Lots-of-LoRAs/task806_pawsx_german_japanese_translation | pawsx german japanese translation |
1155 | task1155_bard_analogical_reasoning_trash_or_treasure | Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash o... | [
"Word Analogy"
] | [
"Commonsense"
] | [
"bard"
] | [
"Relational Reasoning",
"Commonsense Reasoning",
"Analogical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Arjun Ashok"
] | [{"input": "book : treasure. pillow : ?", "output": "treasure", "explanation": "The analogy models a trash/treasure relation. Books are associated with treasure, pillows are associated with treasure"}, {"input": "leaf : trash. ring : ?", "output": "treasure", "explanation": "The analogy models a trash/treasure relation... | [{"input": "wrapper : trash. baby : ?", "output": "trash", "explanation": "The analogy models a trash/treasure relation. Wrappers are associated with trash, BUT babies are not associated with trash"}, {"input": "peel : trash. cup : ?", "output": "coffee", "explanation": "The analogy models a trash/treasure relation. Pe... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1155 | https://huggingface.co/datasets/Lots-of-LoRAs/task1155_bard_analogical_reasoning_trash_or_treasure | bard analogical reasoning trash or treasure |
434 | task434_alt_en_hi_answer_generation | In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No". | [
"Text Matching"
] | [
"Public Places"
] | [
"asian_language_treebank"
] | [] | [
"English",
"Hindi"
] | [
"English"
] | [
"English"
] | [
"Savan Doshi"
] | [{"input": "English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday. \n Hindi: \u0915\u0932 \u092c\u094d\u0930\u093f\u091f\u0947\u0928 \u0915\u0947 \u092a\u0930\u093f\u0935\u0939\u0928 \u0938\u091a\u093f\u0935 \u0930\u0942\u0925 \u0915\u0947\u0932\u0940 \u092... | [{"input": "English: Political figures in the UK continue to raise concerns about both the specific loss of this information, and the nature of governments ability to safely gather and maintain information. \n Hindi:\u092f\u0942\u0915\u0947 \u092e\u0947\u0902 \u0930\u093e\u091c\u0928\u0940\u0924\u093f\u0915 \u0906\u090... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task434 | https://huggingface.co/datasets/Lots-of-LoRAs/task434_alt_en_hi_answer_generation | alt en hi answer generation |
1678 | task1678_mathqa_answer_selection | Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid. | [
"Question Answering"
] | [
"Mathematics"
] | [
"math_qa"
] | [
"Quantitative Reasoning",
"Scientific Reasoning",
"Mathematics -> Combinatorics",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Adheesh Wadkar"
] | [{"input": "Problem: a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be completed if every question is unanswered ?\nOptions: a. 24, b. 120, c. 625, d. 720, e. 1024", "output": "c", "explanation": "5 choices for each of the 4 questions, thus total ... | [{"input": "Problem: if x and y are positive integers and 7 + x + y + xy = 21, what is the value of x + y ?\nOptions: a. 3, b. 5, c. 6, d. 8, e. 9", "output": "a", "explanation": "This is a bad answer, because it is an incorrect option. The correct answer is c, because \"try each answer choices. for a: 7 + 3 + xy = 21;... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1678 | https://huggingface.co/datasets/Lots-of-LoRAs/task1678_mathqa_answer_selection | mathqa answer selection |
088 | task088_identify_typo_verification | The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a ... | [
"Spelling Error Detection"
] | [
"Commonsense -> Concepts and Relations"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Neeraj Varshney"
] | [{"input": "It is gonig to rain today.", "output": "gonig", "explanation": "The word 'gonig' is a typo of the word 'going' as the characters 'i' and 'n' have been swaped."}, {"input": "Who is the pesident of America", "output": "pesident", "explanation": "The word 'pesident' is a typo of the word 'president' as the cha... | [{"input": "How is the weather tody", "output": "weather", "explanation": "The typo is in the word 'tody' as character 'a' is missing from the word 'today' and not in the word 'weather'. So, 'tody' would have been the correct answer."}, {"input": "A grup of men posing with a frisbee on a grass field.", "output": "group... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task088 | https://huggingface.co/datasets/Lots-of-LoRAs/task088_identify_typo_verification | identify typo verification |
297 | task297_storycloze_incorrect_end_classification | In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence. | [
"Text Completion"
] | [
"Story"
] | [
"roc_stories"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf. \n (A) He is happy now. (B) He joined a gang.", "output": "B", "explanat... | [{"input": "Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf. \n (A) He is happy now. (B) He joined a gang.", "output": "A", "explanat... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task297 | https://huggingface.co/datasets/Lots-of-LoRAs/task297_storycloze_incorrect_end_classification | storycloze incorrect end classification |
1373 | task1373_newscomm_translation | This task is to translate a news commentary statement given in German language into Spanish 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"
] | [] | [
"German"
] | [
"Spanish"
] | [
"English"
] | [
"Vagisha Gupta"
] | [{"input": "In letzter Zeit allerdings ist dies schwieriger denn je, ist doch der Goldpreis im letzten Jahrzehnt um \u00fcber 300 Prozent angestiegen.", "output": "\u00daltimamente, con los precios del oro m\u00e1s de un 300% por encima de los de la d\u00e9cada pasada, resulta m\u00e1s dif\u00edcil que nunca.", "explan... | [{"input": "Steigt Gold auf 10.000 Dollar?", "output": "\u00bfEl oro a 10000 d\u00f3lares?", "explanation": "The numerical value in translated text was different from the one given in input from 10.000 to 10000."}, {"input": "SAN FRANCISCO \u2013 Es war noch nie leicht, ein rationales Gespr\u00e4ch \u00fcber den Wert v... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1373 | https://huggingface.co/datasets/Lots-of-LoRAs/task1373_newscomm_translation | newscomm translation |
126 | task126_scan_structured_text_generation_command_action_all | Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | [
"Text to Code"
] | [
"Computer Science -> Machine Learning"
] | [
"scan"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eshaan Pathak"
] | [{"input": "jump left", "output": "I_TURN_LEFT I_JUMP", "explanation": "The agent must first turn left and then jump in order to jump to the left."}, {"input": "jump around right", "output": "I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP", "explanation": "The agent must turn right and ... | [{"input": "jump right", "output": "I_JUMP I_TURN_RIGHT", "explanation": "The agent cannot jump and then turn to the right in order to jump to the right. To jump and then turn to the right, the command will tell the agent to 'jump and turn right'. The correct output is 'I_TURN_RIGHT I_JUMP'."}, {"input": "jump around l... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task126 | https://huggingface.co/datasets/Lots-of-LoRAs/task126_scan_structured_text_generation_command_action_all | scan structured text generation command action all |
1691 | task1691_qed_amara_translation | This task is about translating a given English language sentence to Spanish. | [
"Translation"
] | [
"Captions -> Video Captions"
] | [
"qed_amara"
] | [] | [
"English"
] | [
"Spanish"
] | [
"English"
] | [
"Siddhesh Jagtap"
] | [{"input": "It's this amazing wonderful feeling and you know it when you get it.", "output": "Es ese sentimiento asombroso e incre\u00edble, y lo reconoces cuando lo sientes.", "explanation": "This is a good example because the English sentence has been translated correctly to Spanish."}, {"input": "It's not permanentl... | [{"input": "Copy the link.", "output": "Un asma, estrangul\u00e1ndo nuestro ser", "explanation": "This is a bad example because the English sentence has not been translated correctly to Spanish."}, {"input": "Because when you multiply, the yards will cancel out, and we'll just be left with laps.", "output": "He mostrad... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1691 | https://huggingface.co/datasets/Lots-of-LoRAs/task1691_qed_amara_translation | qed amara translation |
862 | task862_asdiv_multidiv_question_answering | You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer. | [
"Question Answering"
] | [
"Mathematics"
] | [
"nlu_asdiv_dataset"
] | [
"Numerical Reasoning",
"Quantitative Reasoning",
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Tanay Dixit"
] | [{"input": "a paper bag can hold 16 cookies . if edgar buys 292 cookies how many paper bags does he need ?", "output": "18.25", "explanation": "number of paper bags = 292/16 = 18.25 bags"}, {"input": "if each piece costs 18 cents how much would 136 pieces of bubble gum cost ?", "output": "2448", "explanation": "136 pie... | [{"input": "shiela has 6 neighbors who like to collect animal drawings . shiela has a talent for drawing and so she drew 54 animals on small pieces of paper . if she plans to give the same number of animal drawings to her neighbors how many will each of them receive ?", "output": "6", "explanation": "each neighbor woul... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task862 | https://huggingface.co/datasets/Lots-of-LoRAs/task862_asdiv_multidiv_question_answering | asdiv multidiv question answering |
1265 | task1265_ted_translation_fa_en | You are given a sentence in Persian. Your job is to translate the Farsi sentence into English. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Persian"
] | [
"English"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\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\u062a\u0647 \u0645\u06cc \u200c \u0634\u0648\u062f.", "output": "In the southwestern... | [{"input": "\u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0686\u06cc\u0632\u06cc \u0645\u0631\u062a\u0628\u0637 \u0628\u0627 \u0627\u06cc\u0646 \u0631\u0627 \u0645\u062d\u0627\u0633\u0628\u0647 \u06a9\u0646\u06cc\u0645 \u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u06af\u0648\u06cc\u06cc\u0645 \u062a\u0648\u... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1265 | https://huggingface.co/datasets/Lots-of-LoRAs/task1265_ted_translation_fa_en | ted translation fa en |
595 | task595_mocha_answer_generation | In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible. | [
"Question Answering"
] | [
"Wikipedia",
"Books",
"Movies",
"Story",
"History"
] | [
"mocha"
] | [
"Reasoning on Social Interactions",
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Akhil Kumar Gudipoodi"
] | [{"input": "Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her neck. \nQuestion: What did Tracy do with her neck?", "output": "crack her neck", "explanation": "The output phrase perfectly answers the question and is explicitly mentioned in the passage as well."}, {"input": "The story ... | [{"input": "tracy wanted to feel safe so she decided to walk behind addison. \nQuestion: What will happen to Tracy?", "output": "appreciate addison", "explanation": "The question cannot be answered directly by referring to the passage and the answer is irrelevant"}, {"input": "Tracy told Ash they needed glasses then th... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task595 | https://huggingface.co/datasets/Lots-of-LoRAs/task595_mocha_answer_generation | mocha answer generation |
772 | task772_pawsx_french_text_modification | Given a sentence in French, provide an equivalent paraphrased version from the original that retains the same meaning. | [
"Paraphrasing"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"French"
] | [
"French"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "La saison NBA 1975 - 76 \u00e9tait la 30e saison de la National Basketball Association.", "output": "La saison 1975-1976 de la National Basketball Association \u00e9tait la 30e saison de la NBA.", "explanation": "The paraphrase of the original sentence in French is correct and accurate because even though s... | [{"input": "\u00c0 Paris, en octobre 1560, il rencontra secr\u00e8tement l'ambassadeur d'Angleterre, Nicolas Throckmorton, lui demandant un passeport pour retourner en Angleterre en passant par l'\u00c9cosse.", "output": "En octobre 1560, il rencontra secr\u00e8tement l'ambassadeur d'Angleterre, Nicolas Throckmorton, \... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task772 | https://huggingface.co/datasets/Lots-of-LoRAs/task772_pawsx_french_text_modification | pawsx french text modification |
255 | task255_spl_translation_it_en | The provided file includes inquiries about restaurants in Italian, 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"
] | [] | [
"Italian"
] | [
"English"
] | [
"English"
] | [
"Mehrad Moradshahi"
] | [{"input": "ci sono ristoranti \" italian \" nelle vicinanze con valutazioni di 3 stelle?", "output": "are there any \" italian \" restaurants nearby with 3 star reviews ?", "explanation": "The translation correctly preserves \" italian \" entity and is accurate"}, {"input": "quale tipo di cibo serve questo ristorante?... | [{"input": "dov'\u00e8 il \" wendy 's \" pi\u00f9 vicino?", "output": "where is the closest wendy 's ?", "explanation": "Translation contain the entity \" wendy 's \" but quotation marks are dropped"}, {"input": "mostrami il \" mcdonald 's \" pi\u00f9 vicino", "output": "show me the closest \" McDonald's \"", "explanat... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task255 | https://huggingface.co/datasets/Lots-of-LoRAs/task255_spl_translation_it_en | spl translation it en |
709 | task709_mmmlu_answer_generation_high_school_psychology | You are given a question on high school psychology. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer. | [
"Question Answering"
] | [
"Psychology"
] | [
"measuring_massive_multitask_language_understanding"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sujan Reddy A"
] | [{"input": "Which psychoactive drugs are most frequently prescribed to relieve pain?\n(A)stimulants (B)depressants (C)antidepressants (D)narcotics", "output": "D", "explanation": "Narcotics are the most frequently prescribed psychoactive drugs to relieve pain"}, {"input": "Delusions of grandeur are most characteristic ... | [{"input": "Which psychoactive drugs are most frequently prescribed to relieve pain?\n(A)stimulants (B)depressants (C)antidepressants (D)narcotics", "output": "I dont know.", "explanation": "Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'."}, {"input": "Delusions of grandeur ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task709 | https://huggingface.co/datasets/Lots-of-LoRAs/task709_mmmlu_answer_generation_high_school_psychology | mmmlu answer generation high school psychology |
1436 | task1436_ro_sts_parallel_language_translation_en_to_ro | In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language. | [
"Translation"
] | [
"Commonsense"
] | [
"ro_sts_parallel"
] | [] | [
"English"
] | [
"Romanian"
] | [
"English"
] | [
"Shreeshiv Patel"
] | [{"input": "A man is spreading shreded cheese on a pizza.", "output": "Un b\u0103rbat pune br\u00e2nz\u0103 m\u0103run\u021bit\u0103 pe o pizza.", "explanation": "In the given translation process, the tense of both sentences, quantitative measures, entity name, the polarity of the sentence remains the same."}, {"input"... | [{"input": "Some men are fighting.", "output": " Doi b\u0103rba\u021bi se lupt\u0103.", "explanation": "During the translation process, quantitative measures should remain the same. Here, the input is two men are fighting which translated into some men are fighting, which is incorrect."}, {"input": " I like to play out... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1436 | https://huggingface.co/datasets/Lots-of-LoRAs/task1436_ro_sts_parallel_language_translation_en_to_ro | ro sts parallel language translation en to ro |
1655 | task1655_mkb_translation | Given a sentence in Hindi(hi), give the translation of the sentence in English(en) as output | [
"Translation"
] | [
"Captions -> Video Captions",
"Government and Politics"
] | [
"mkb"
] | [] | [
"Hindi"
] | [
"English"
] | [
"English"
] | [
"NIKHIL CHANDRA NIRUKONDA"
] | [{"input": "\u0906\u092a \u0938\u092c\u0915\u094b \u0926\u0940\u092a\u093e\u0935\u0932\u0940 \u0915\u0940 \u092c\u0939\u0941\u0924 \u092c\u0939\u0941\u0924 \u0936\u0941\u092d\u0915\u093e\u092e\u0928\u093e\u090f", "output": "On the pious festival of Deepawali, greetings to all of you.", "explanation": "The translation w... | [{"input": "\u0915\u0908 \u0938\u094d\u0925\u093e\u0928\u094b\u0902 \u092a\u0930 \u0917\u092f\u0947 \u0914\u0930 \u091c\u0939\u093e\u0902 \u092d\u0940 \u0917\u092f\u0947, \u0935\u0939\u093e\u0902, \u0905\u092a\u0928\u0940 \u0938\u0930\u0932\u0924\u093e, \u0935\u093f\u0928\u092e\u094d\u0930\u0924\u093e, \u0938\u093e\u09... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1655 | https://huggingface.co/datasets/Lots-of-LoRAs/task1655_mkb_translation | mkb translation |
1492 | task1492_bengali_religious_hate_speech_binary_classification | In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religious on the top... | [
"Text Categorization"
] | [
"Social Media",
"Dialogue"
] | [
"bengali_hate_speech_dataset"
] | [
"Reasoning on Social Interactions"
] | [
"Bengali"
] | [
"English"
] | [
"English"
] | [
"Ishani Mondal"
] | [{"input": "\u0995\u09cb\u09a8\u09cb \u09ae\u09c7\u09df\u09c7 \u0987\u09b8\u09b2\u09be\u09ae \u09a7\u09b0\u09cd\u09ae \u0997\u09cd\u09b0\u09b9\u09a3 \u0995\u09b0\u09b2\u09c7 \u0986\u09ae\u09bf \u09a4\u09be\u0995\u09c7 \u09ac\u09bf\u09df\u09c7 \u0995\u09b0\u09a4\u09c7 \u09b0\u09be\u099c\u09bf(\u0986\u09ae\u09bf \u0995\u... | [{"input": "\u098f\u0987 \u09b8\u09b0\u0995\u09be\u09b0 \u0995\u09c7 \u09af\u09be\u09b0\u09be \u09a8\u09bf\u09b0\u09cd\u09b2\u099c\u09cd\u099c\u09c7\u09b0 \u09ae\u09a4 \u09b8\u09be\u09aa\u09cb\u09b0\u09cd\u099f \u09a6\u09bf\u09df\u09c7\u099b\u09c7 \u09ac\u099b\u09b0\u09c7\u09b0 \u09aa\u09b0 \u09ac\u099b\u09b0, \u09a4\u... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1492 | https://huggingface.co/datasets/Lots-of-LoRAs/task1492_bengali_religious_hate_speech_binary_classification | bengali religious hate speech binary classification |
1289 | task1289_trec_classification | You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | [
"Question Understanding"
] | [
"Miscellaneous"
] | [
"trec"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "What's the most common name in nursery rhymes ?", "output": "Person", "explanation": "This question is about people's names. So, the output should be \"Person\"."}, {"input": "What does the term ''spaghetti western'' mean ?", "output": "Description", "explanation": "The question is asking about the definiti... | [{"input": "What handicraft requires you to interlace your warp and weft ?", "output": "Abbreviation", "explanation": "This question is about handicrafts, and it's not asking about abbreviations. So, the correct output should be \"Entity\"."}, {"input": "What was the number of people that Randy Steven Craft was convict... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1289 | https://huggingface.co/datasets/Lots-of-LoRAs/task1289_trec_classification | trec classification |
897 | task897_freebase_qa_topic_question_generation | Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question. | [
"Question Generation"
] | [
"Wikipedia"
] | [
"freebase_qa"
] | [
"Abductive Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Karthik Murugesan"
] | [{"input": "1968 winter olympics", "output": "Which Frenchman won the Alpine triple-crown at the 1968 Winter Olympics?", "explanation": "Both these questions ask a specific fact as the answer. So these are valid questions."}, {"input": "10 things i hate about you", "output": "The 1999 film 10 Things I Hate About You is... | [{"input": "the o2 arena", "output": "What are the directions to reach the o2 arena from the London bridge?", "explanation": "The question is asking for an explanation. This could not be answer with the simple fact. There could be multiple answers and all of them could have many instructions. So this is a bad example."... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task897 | https://huggingface.co/datasets/Lots-of-LoRAs/task897_freebase_qa_topic_question_generation | freebase qa topic question generation |
1424 | task1424_mathqa_probability | In this task, you need to provide the correct option for a given problem on probability from the provided options. | [
"Question Answering"
] | [
"Mathematics"
] | [
"mathqa"
] | [
"Quantitative Reasoning",
"Numerical Reasoning",
"Mathematics -> Combinatorics"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Siddhartha Mishra"
] | [{"input": "Problem: in a throw of a coin find the probability of getting a tail ? \nOptions: a ) 1 / 2 , b ) 1 / 3 , c ) 1 / 4 , d ) 2 / 5 , e ) 2 / 7", "explanation": "\"s = { h , t } e = { t } p ( e ) = 1 / 2 answer is a\"", "output": "a"}, {"input": "Problem: a jar contains only red , yellow , and orange marbles . ... | [{"input": "Problem: if 4 people are selected from a group of 7 married couples , what is the probability that none of them would be married to each other ? \nOptions: a ) 1 / 33 , b ) 2 / 33 , c ) 1 / 3 , d ) 16 / 33 , e ) 47 / 84", "explanation": "\"if we are to select 4 people from 7 couples without any restriction ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1424 | https://huggingface.co/datasets/Lots-of-LoRAs/task1424_mathqa_probability | mathqa probability |
506 | task506_position_of_all_alphabetical_elements_in_list | In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list. | [
"Program Execution"
] | [
"Mathematics"
] | [
"synthetic"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pulkit Verma"
] | [{"input": "['238', 'h', '92', 'U', '2799']", "output": "2, 4", "explanation": "Here, the alphabetical elements in the input list are 'h' and 'U' and they are at positions '2' and '4', respectively."}, {"input": "['6923', '34', '3434', '12', '345']", "output": "-1", "explanation": "Since there are no alphabetical eleme... | [{"input": "['7475', 'B', '2459', 'm', '8349', 'O', 'q']", "output": "2, 4, 6", "explanation": "Here, the answer should have been '2, 4, 6, 7' as the alpbetical elements in the input list are 'B', 'm', 'O', and 'q' and their positions in the list are '2', '4', '6', and '7'."}, {"input": "['75', '54', 'J', 'L', '2332', ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task506 | https://huggingface.co/datasets/Lots-of-LoRAs/task506_position_of_all_alphabetical_elements_in_list | position of all alphabetical elements in list |
1507 | task1507_boolean_temporal_reasoning | Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1... | [
"Misc."
] | [
"Commonsense -> Concepts and Relations"
] | [
"synthetic"
] | [
"Temporal Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Atharva Naik"
] | [{"input": "03:40:40 PM doesn't occur between 5:35:38 and 07:58:59 AM", "output": "False", "explanation": "The output of 'False' is correct as the input statement is false, since 03:40:40 PM occurs after 07:58:89 AM and not between 5:35:38(AM) and 07:58:59 AM"}, {"input": "04:29:19 occured before 12:35:25 PM but after ... | [{"input": "29 January 1987 doesn't occur between February 03, 2014 and 05 Sep 2014", "output": "False", "explanation": "The given statement is actually true, as 29th January 1987 doesn't occur between February 03, 2014 and 05 Sep 2014. Since the statement is true but the output label is 'False', the output label is in... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1507 | https://huggingface.co/datasets/Lots-of-LoRAs/task1507_boolean_temporal_reasoning | boolean temporal reasoning |
372 | task372_synthetic_palindrome_numbers | In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned. | [
"Program Execution"
] | [
"Code",
"Mathematics"
] | [
"synthetic"
] | [
"Mathematics -> Arithmetic"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Kirby Kuznia"
] | [{"input": "[77, 999, 855, 10, 56, 121, 801]", "output": "[77, 999, 121]", "explanation": "The integers 77, 999, and 121 are the only integers in the input list that start and end with the same digit."}, {"input": "[-982, 884, 90, 762, 211, -18]", "output": "[]", "explanation": "There are no integers that start and end... | [{"input": "[501, 2, 777, -841, -846, -909, 434]", "output": "[777, -909, 434]", "explanation": "The output does not include the integer '2'. This integer has a single digit and should be included in the output."}, {"input": "[-667, 733, 19, 33, 812]", "output": "[-667, 733, 33]", "explanation": "The ouput included int... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task372 | https://huggingface.co/datasets/Lots-of-LoRAs/task372_synthetic_palindrome_numbers | synthetic palindrome numbers |
805 | task805_pawsx_german_chinese_translation | Given a sentence in German, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"German"
] | [
"Chinese"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "Die NBA-Saison 1975 - 76 war die 30. Saison der 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 German to Chinese because the translate... | [{"input": "Im Oktober 1560 traf er sich in Paris heimlich mit dem englischen Botschafter Nicolas Throckmorton und bat ihn um einen Pass, um durch Schottland nach England zur\u00fcckzukehren.", "output": "1560\u5e7410\u6708\uff0c\u4ed6\u5728\u5df4\u9ece\u79d8\u5bc6\u4f1a\u89c1\u4e86\u82f1\u56fd\u5927\u4f7f\u5c3c\u53e4\... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task805 | https://huggingface.co/datasets/Lots-of-LoRAs/task805_pawsx_german_chinese_translation | pawsx german chinese translation |
1575 | task1575_amazon_reviews_multi_sentiment_classification | In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews. | [
"Sentiment Analysis"
] | [
"Reviews"
] | [
"multilingual_amazon_reviews"
] | [] | [
"English",
"Japanese",
"German",
"French",
"Chinese",
"Spanish"
] | [
"English"
] | [
"English"
] | [
"Sai Pavan Kalyan Reddy Konda"
] | [{"input": "The bags came already torn", "output": "bad", "explanation": "This is a good example because this is a negative review, so the output bad is correct"}, {"input": "They were the perfect sheer for the lighting we used behind them.", "output": "good", "explanation": "This is a good example because this is a po... | [{"input": "Nul, aucun contr\u00f4le", "output": "good", "explanation": " This is a bad example because this is a negative review, but the output is good. output should be bad."}, {"input": "Works and as described", "output": "bad", "explanation": "This is a bad example because this is a positive review, but the output... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1575 | https://huggingface.co/datasets/Lots-of-LoRAs/task1575_amazon_reviews_multi_sentiment_classification | amazon reviews multi sentiment classification |
1517 | task1517_limit_classfication | In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sent... | [
"Information Extraction"
] | [
"News",
"Wikipedia"
] | [
"limit"
] | [
"Commonsense Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Sai Venkat Subramani"
] | [{"input": " The man then paints a side table black with lights shining off of the black painted wood.", "output": "Yes", "explanation": "Here the man is in motion as he is painting a side table black table."}, {"input": "Waking passengers who experienced subspace distress in any form could obtain immediate assistance... | [{"input": " The sun peeks from behind the clouds and lights the scene up.", "output": "Yes", "explanation": "Though the sentence uses the present tense, there is no movement of an entity from one location to another."}, {"input": "A camera pans over a sNowy area and leads into a man standing on a sNowboard and riding... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1517 | https://huggingface.co/datasets/Lots-of-LoRAs/task1517_limit_classfication | limit classfication |
1399 | task1399_obqa_answer_generation | In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement. | [
"Question Answering"
] | [
"Natural Science -> School Science Textbooks"
] | [
"openbookqa"
] | [
"Scientific Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Eric Bell"
] | [{"input": "Fact: deep sea animals live deep in the ocean. Question: Frilled sharks and angler fish live far beneath the surface of the ocean, which is why they are known as?", "output": "Deep sea animals", "explanation": "This is the correct answer since the fact says that deep sea animals live deep in the ocean and t... | [{"input": "Fact: water is often brackish in an estuary. Question: Brackish water is often found where?", "output": "the ocean is deep", "explanation": "This is not the correct answer. The ocean being deep has nothing to do with the location of brackish water."}, {"input": "Fact: if a liquid disappears then that liquid... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1399 | https://huggingface.co/datasets/Lots-of-LoRAs/task1399_obqa_answer_generation | obqa answer generation |
1085 | task1085_pib_translation_english_marathi | A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence. | [
"Translation"
] | [
"Sociology",
"News"
] | [
"pib"
] | [] | [
"English"
] | [
"Marathi"
] | [
"English"
] | [
"Krima Doshi",
"Swaroop"
] | [{"input": "And I see that venerable Bapus dream was a solemn pledge for cleanliness", "output": "\u0906\u0923\u093f \u092e\u0940 \u092a\u093e\u0939\u0924\u094b \u0915\u0940 \u0906\u0926\u0930\u0923\u0940\u092f \u092c\u093e\u092a\u0938\u091a\u0947 \u0938\u094d\u0935\u092a\u094d\u0928 \u0938\u094d\u0935\u091a\u094d\u091... | [{"input": "Reddy gave many constructive suggestions in Rajya Sabha", "output": "\u0915\u093e\u0917\u0926\u092a\u0924\u094d\u0930 \u091c\u092e\u093e \u0915\u0930\u0923\u0947 \u0915\u093f\u091a\u0915\u091f \u092c\u0928\u0942 \u0928\u092f\u0947 \u092f\u093e\u0938\u093e\u0920\u0940 \u0915\u093e\u0917\u0926\u092a\u0924\u09... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1085 | https://huggingface.co/datasets/Lots-of-LoRAs/task1085_pib_translation_english_marathi | pib translation english marathi |
993 | task993_pib_translation_hindi_tamil | A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence. | [
"Translation"
] | [
"Sociology",
"News"
] | [
"pib"
] | [] | [
"Hindi"
] | [
"Tamil"
] | [
"English"
] | [
"Krima Doshi",
"Swaroop"
] | [{"input": "\u0907\u0938\u0947 \u092c\u0922\u093c\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0939\u092e \u092d\u093e\u0930\u0924 \u092e\u0947\u0902 \u091c\u0930\u094d\u092e\u0928\u0940 \u0915\u0940 \u0915\u0902\u092a\u0928\u093f\u092f\u094b\u0902 \u0915\u093e \u0916\u0941\u0932\u0940 \u092c\u093e\u0939\u094b\u... | [{"input": "\u0905\u0917\u0930 \u0939\u092e \u092a\u0943\u0925\u094d\u0935\u0940 \u0915\u094b \u0905\u092a\u0928\u0940 \u092e\u093e\u0924\u093e \u092e\u093e\u0928\u0947\u0902\u0917\u0947, \u0924\u094b \u0939\u092e \u0909\u0938\u0915\u093e \u0938\u092e\u094d\u092e\u093e\u0928 \u0914\u0930 \u0938\u0930\u0902\u0915\u094d\... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task993 | https://huggingface.co/datasets/Lots-of-LoRAs/task993_pib_translation_hindi_tamil | pib translation hindi tamil |
1574 | task1574_amazon_reviews_multi_language_identification | In this task, you're given reviews of various products in multiple languages. Domain is English - en, Japanese - ja, German - de, French - fr, Chinese - zh, Spanish - es. Given a review you need to predict the language in which it was written from en, ja, de, fr, zh, es. | [
"Language Identification"
] | [
"Reviews"
] | [
"multilingual_amazon_reviews"
] | [] | [
"English",
"Japanese",
"German",
"French",
"Chinese",
"Spanish"
] | [
"English"
] | [
"English"
] | [
"Sai Pavan Kalyan Reddy Konda"
] | [{"input": " the cabinet dot was detached from backing...got me ", "output": "en", "explanation": " This is a good example because the given review is in english(en) and the answer is en."}, {"input": " \u5f88\u5dee\u7684\u4e00\u672c\u4e66\uff0c\u5185\u5bb9\u7a7a\u6cdb\uff0c\u6709\u7684\u7ae0\u8282\u8fd8\u6587\u4e0d\u... | [{"input": " Impossible de mettre les poign\u00e9es. Bbq est instable. D\u00e9\u00e7u", "output": "de", "explanation": " This is a bad example because given review is in French - fr language and the output is de which is incorrect. fr will be the correct answer."}, {"input": "\u30d4\u30fc\u3068\u8a00\u3063\u305f\u30ce\... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1574 | https://huggingface.co/datasets/Lots-of-LoRAs/task1574_amazon_reviews_multi_language_identification | amazon reviews multi language identification |
807 | task807_pawsx_chinese_english_translation | Given a sentence in Chinese, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"Chinese"
] | [
"English"
] | [
"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": "The 1975 -- 76 season of the National Basketball Association was the 30th season of the 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": "In October 1560 , he secretly met with the English ambassador , Nicolas Throckmorton , i... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task807 | https://huggingface.co/datasets/Lots-of-LoRAs/task807_pawsx_chinese_english_translation | pawsx chinese english translation |
1239 | task1239_ted_translation_gl_ja | You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Galician"
] | [
"Japanese"
] | [
"English"
] | [
"David Stap"
] | [{"input": "Ter\u00e1n seguro para pagar a receita?", "output": "\u51e6\u65b9\u7b8b\u3092\u652f\u6255\u3046\u70ba\u306e\u4fdd\u967a\u306f \uff1f", "explanation": "The Galician sentence is correctly translated into Japanese, because the meaning is preserved."}, {"input": "Sexa o que sexa, ten que ser bastante importante... | [{"input": "Sermos capaces de facer esa diagnose en algu\u00e9n que \u00e9 vulnerable nun curto espazo de tempo en que temos a capacidade de transformar, de producir un efecto nese cerebro que medra e se desenvolve, \u00e9 crucial.", "output": "\u79c1\u306e\u30c0\u30f3\u30ca\u3082\u9577\u3044\u3053\u3068\u5211\u52d9\u6... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1239 | https://huggingface.co/datasets/Lots-of-LoRAs/task1239_ted_translation_gl_ja | ted translation gl ja |
1271 | task1271_ted_translation_fa_it | You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian. | [
"Translation"
] | [
"TED Talks",
"Captions -> Video Captions"
] | [
"multilingual_ted"
] | [] | [
"Persian"
] | [
"Italian"
] | [
"English"
] | [
"David Stap"
] | [{"input": "\u0627\u06cc\u0646 \u06cc\u06a9 \u062e\u0627\u0646\u0647 \u06cc \u0627\u0633\u06a9\u06cc\u0645\u0648 \u0645\u06cc \u0634\u0648\u062f.", "output": "Cos\u00ec diventa un igloo.", "explanation": "The Farsi sentence is correctly translated into Italian, because the meaning is preserved."}, {"input": "\u0647\u06... | [{"input": "\u0647\u0645\u06a9\u0627\u0631\u0627\u0646\u0645 \u062f\u0631 \u06af\u0648\u06af\u0644 \u06a9\u0645\u067e\u06cc\u0646\u06cc \u0628\u0631\u0627\u06cc \u062c\u0633\u062a\u062c\u0648\u06cc \u0645\u0646 \u0634\u0631\u0648\u0639 \u06a9\u0631\u062f\u0646\u062f \u060c \u0648 \u062f\u0648\u0633\u062a\u0627\u0646 \u... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1271 | https://huggingface.co/datasets/Lots-of-LoRAs/task1271_ted_translation_fa_it | ted translation fa it |
1330 | task1330_open_subtitles_en_te_translation | Translation from English to Telugu. | [
"Translation"
] | [
"Narrative",
"Dialogue",
"Commonsense -> Concepts and Relations"
] | [
"opensubtitles"
] | [] | [
"English"
] | [
"Telugu"
] | [
"English"
] | [
"Yammanur Abhilash Reddy"
] | [{"input": "Many strange legends are told of these jungles of India, but none so strange as the story of a small boy named Mowgli.", "output": "\u0c05\u0c28\u0c47\u0c15\u0c35\u0c3f\u0c02\u0c24\u0c2a\u0c41\u0c30\u0c3e\u0c23\u0c2e\u0c41\u0c32\u0c41 \u0c2d\u0c3e\u0c30\u0c24\u0c26\u0c47\u0c36\u0c02 \u0c2f\u0c4a\u0c15\u0c4d... | [{"input": "Then it occurred to me.", "output": "\u0c07\u0c2a\u0c4d\u0c2a\u0c41\u0c21\u0c41 \u0c28\u0c3e\u0c15\u0c41 \u0c0f\u0c30\u0c4d\u0c2a\u0c21\u0c3f\u0c02", "explanation": "The above translation is temporally incorrect."}, {"input": "A family of wolves I knew had been blessed with a litter of cubs.", "output": "\u... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1330 | https://huggingface.co/datasets/Lots-of-LoRAs/task1330_open_subtitles_en_te_translation | open subtitles en te translation |
1531 | task1531_daily_dialog_type_classification | You have to predict the type of conversation sentence given as input. Your predictions can be one among: 'information' if the input statement states a piece of information, 'question' if the input statement asks for some information, 'directive' if the input sentence involves the management or guidance of operations, a... | [
"Dialogue Act Recognition"
] | [
"Dialogue"
] | [
"dailydialog"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Krishna Sriharsha Gundu"
] | [{"input": "What for ?", "output": "question", "explanation": "The input sentence is a question asking the reason. Therefore this is a sentence classified as the question."}, {"input": "They want the government to reduce the price of the gasoline .", "output": "information", "explanation": "The input sentence states th... | [{"input": "ok . You haven \u2019 t seen my company car , have you ? ", "output": "question", "explanation": "The input sentence is not a question as the speaker did not ask this with the intention of getting answered. This is asked as a confirmation message to an already known fact. Therefore this should be classified... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1531 | https://huggingface.co/datasets/Lots-of-LoRAs/task1531_daily_dialog_type_classification | daily dialog type classification |
184 | task184_break_generate_question | In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | [
"Question Generation"
] | [
"Wikipedia"
] | [
"break"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "#1 return secretaries \n#2 return #1 born in state 'Alabama \n#3 return departments managed by #2 \n#4 return distinct creation years of #3", "output": "What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?", "explanation": "You should follow the steps in o... | [{"input": "#1 return red objects \n#2 return #1 that are metal \n#3 return blue objects \n#4 return #1 that are rubber \n#5 return number of #2 \n#6 return number of #4 \n#7 return difference of #5 and #6", "output": "How many more metal objects are there than rubber objects?", "explanation": "In this example, the... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task184 | https://huggingface.co/datasets/Lots-of-LoRAs/task184_break_generate_question | break generate question |
791 | task791_pawsx_french_spanish_translation | Given a sentence in French, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase. | [
"Translation"
] | [
"Wikipedia"
] | [
"paws_x"
] | [] | [
"French"
] | [
"Spanish"
] | [
"English"
] | [
"Jacob Anderson"
] | [{"input": "La saison NBA 1975 - 76 \u00e9tait la 30e saison de la National Basketball Association.", "output": "La temporada 1975 - 76 de la Asociaci\u00f3n Nacional de Baloncesto fue la temporada 30 de la NBA.", "explanation": "This is a correct and accurate translation from French to Spanish because the translated p... | [{"input": "\u00c0 Paris, en octobre 1560, il rencontra secr\u00e8tement l'ambassadeur d'Angleterre, Nicolas Throckmorton, lui demandant un passeport pour retourner en Angleterre en passant par l'\u00c9cosse.", "output": "En octubre de 1560, se reuni\u00f3 en secreto con el embajador ingl\u00e9s, Nicolas Throckmorton, ... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task791 | https://huggingface.co/datasets/Lots-of-LoRAs/task791_pawsx_french_spanish_translation | pawsx french spanish translation |
1327 | task1327_qa_zre_answer_generation_from_question | Generate a correct and concise answer for the question based on the words in the context. | [
"Question Answering"
] | [
"Wikipedia"
] | [
"question_&_answer_zre"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Yammanuru Abhilash Reddy"
] | [{"input": "Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School. \nQuestion : What was Isaac Nicola's city of birth?", "output": "Havana", "explanation": "According to context Issac Nicola's city of birth is Havana. Hence... | [{"input": "Context : An Officer and a Gentleman is a 1982 American drama/romance film that stars Richard Gere, Debra Winger and Louis Gossett, Jr., who won the Academy Award for Best Supporting Actor for the film, and was produced by Lorimar Productions for Paramount Pictures. \nQuestion : What award was An Officer an... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1327 | https://huggingface.co/datasets/Lots-of-LoRAs/task1327_qa_zre_answer_generation_from_question | qa zre answer generation from question |
1351 | task1351_opus100_translation_gu_en | You are given a sentence in Gujarati language and we ask you to translate those to the English language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the literal mea... | [
"Translation"
] | [
"Books",
"Miscellaneous"
] | [
"opus_100"
] | [] | [
"Gujarati"
] | [
"English"
] | [
"English"
] | [
"Arpit Prajapati"
] | [{"input": "\u0a98\u0a9f\u0ac7\u0ab2 \u0ab8\u0acd\u0aa5\u0abe\u0aa8 \u0a9a\u0acb\u0a95\u0acd\u0a95\u0ab8\u0aa4\u0abe \u0aa8\u0acb \u0aae\u0aa4\u0ab2\u0aac \u0a8f \u0a95\u0ac7 \u0aa4\u0aae\u0abe\u0ab0\u0ac1 \u0ab6\u0ab9\u0ac7\u0ab0, \u0ab0\u0abe\u0a9c\u0acd\u0aaf \u0a85\u0aa8\u0ac7 \u0aa6\u0ac7\u0ab6 \u0a95\u0ab0\u0aa4\... | [{"input": "\u0a86 \u0aaa\u0ac0\u0a85\u0ab0 \u0aa4\u0ac7\u0aa8\u0abe IP \u0ab8\u0ab0\u0aa8\u0abe\u0aae\u0abe \u0aa4\u0ab0\u0ac0\u0a95\u0ac7 \u0aac\u0ac0\u0a9c\u0ac0 \u0aac\u0abe\u0a9c\u0ac1 \u0aa6\u0acd\u0ab5\u0abe\u0ab0\u0abe \u0a9c\u0acb\u0ab5\u0abe\u0aae\u0abe\u0a82 \u0a86\u0ab5\u0acd\u0aaf\u0ac1 \u0a9b\u0ac7", "out... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1351 | https://huggingface.co/datasets/Lots-of-LoRAs/task1351_opus100_translation_gu_en | opus100 translation gu en |
312 | task312_europarl_sv_en_translation | In this task, you are given a sentence in the Swedish 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"
] | [
"Government and Politics"
] | [
"europarl"
] | [] | [
"Swedish"
] | [
"English"
] | [
"English"
] | [
"Mirali Purohit"
] | [{"input": "Jag f\u00f6rklarar debatten avslutad.", "output": "The debate is closed.", "explanation": "Swedish sentence is properly converted into English sentence."}, {"input": "Tack s\u00e5 mycket, fru kommission\u00e4r.", "output": "Thank you very much, Commissioner.", "explanation": "Swedish sentence is properly co... | [{"input": "Jag f\u00f6rklarar debatten avslutad.", "output": "The debate is opened.", "explanation": "The conversion of Swedish to English is wrong because avslutad means closed not opened."}, {"input": "Tack s\u00e5 mycket, fru kommission\u00e4r.", "output": "Thank you very much, Doctor.", "explanation": "The convers... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task312 | https://huggingface.co/datasets/Lots-of-LoRAs/task312_europarl_sv_en_translation | europarl sv en translation |
386 | task386_semeval_2018_task3_irony_detection | In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label... | [
"Irony Detection"
] | [
"Social Media -> Twitter"
] | [
"semeval_2018_task3"
] | [
"Commonsense Reasoning -> Social Situations"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Amirreza Mirzaei"
] | [{"input": "3 episodes left I'm dying over here", "output": "not", "explanation": "this tweet doesn't contain irony"}, {"input": "You're never too old for Footie Pajamas. http://t.co/ElzGqsX2yQ", "output": "not", "explanation": "this tweet doesn't contain irony"}, {"input": "Oh, thank GOD - our entire office email syst... | [{"input": "3 episodes left I'm dying over here", "output": "ironic", "explanation": "this tweet doesn't contain any irony so it should be labeled as NOT."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task386 | https://huggingface.co/datasets/Lots-of-LoRAs/task386_semeval_2018_task3_irony_detection | semeval 2018 task3 irony detection |
656 | task656_quran_en_fa_translation | In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian. | [
"Translation"
] | [
"World Religions",
"Books"
] | [
"parsinlu"
] | [] | [
"English"
] | [
"Persian"
] | [
"English"
] | [
"Yeganeh Kordi"
] | [{"input": "And the sun runs his course for a period determined for him: that is the decree of (Him), the Exalted in Might, the All-Knowing.", "output": "\u0648 \u062e\u0648\u0631\u0634\u06cc\u062f [\u0646\u06cc\u0632 \u0628\u0631\u0627\u06cc \u0622\u0646\u0627\u0646 \u0646\u0634\u0627\u0646\u0647\u200c\u0627\u06cc \u0... | [{"input": "They will advance to each other, engaging in mutual enquiry.", "output": "\u0648 \u0628\u0647 \u06cc\u06a9\u062f\u06cc\u06af\u0631 \u0631\u0648\u06cc \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f.", "explanation": "This translation is incomplete. Hence it's not acceptable."}, {"input": "But the bounty of the L... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task656 | https://huggingface.co/datasets/Lots-of-LoRAs/task656_quran_en_fa_translation | quran en fa translation |
062 | task062_bigbench_repeat_copy_logic | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | [
"Program Execution"
] | [
"Formal logic"
] | [
"big_bench"
] | [
"Logical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Noah Fiedel"
] | [{"input": "Repeat 5 times hello world", "output": "hello world hello world hello world hello world hello world", "explanation": "Here the phrase `hello word' is repeated 5 times."}, {"input": "repeat the word cat four times. After the second time, also say the word meow.", "output": "cat cat meow cat cat", "explanatio... | [{"input": "Repeat 5 times hello world", "output": "hello world", "explanation": "Here the phrase `hello word' needs to be repeated 5 times. The given answer is a bad answer since it is repeated only once."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task062 | https://huggingface.co/datasets/Lots-of-LoRAs/task062_bigbench_repeat_copy_logic | bigbench repeat copy logic |
843 | task843_financial_phrasebank_classification | Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'. | [
"Sentiment Analysis"
] | [
"News"
] | [
"financial_phrasebank"
] | [] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Jalansh Munshi"
] | [{"input": "According to Gran , the company has no plans to move all production to Russia , although that is where the company is growing .", "output": "neutral", "explanation": "Although the author uses negative words like 'no' in the news, there is no evidence of the news being positive or negative for any stakeholde... | [{"input": "According to the company 's updated strategy for the years 2009-2012 , Basware targets a long-term net sales growth in the range of 20 % -40 % with an operating profit margin of 10 % -20 % of net sales .", "output": "neutral", "explanation": "This news uses terms like 'sales growth' and 'profit margin' whic... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task843 | https://huggingface.co/datasets/Lots-of-LoRAs/task843_financial_phrasebank_classification | financial phrasebank classification |
514 | task514_argument_consequence_classification | You will be given a topic and an argument. Your task is to answer whether the topic and the argument are related or not. A related argument should provide more details about the outcomes of the topic. If the argument refers to or suggests a consequence related to that topic, answer with "yes"; otherwise, answer with "n... | [
"Text Matching"
] | [
"Debatepedia"
] | [
"starcon"
] | [
"Argument Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Pegah Alipoormolabashi"
] | [{"input": "topic: DC handgun ban\nargument: Worldwide the ownership of handguns has been correlated with higher homicide rates", "output": "yes", "explanation": "The argument is refering to homicide rates as a consequence of handgun ownership. So, the answer should be \"yes\"."}, {"input": "topic: Is Wikipedia valuabl... | [{"input": "topic: Right to bear arms in the US\nargument: In order to form a militia, citizens require guns and a right to own them", "output": "yes", "explanation": "The argument doesn't provide any consequences for the topic. So, the output should be no."}, {"input": "topic: High-speed rail\nargument: High speed rai... | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task514 | https://huggingface.co/datasets/Lots-of-LoRAs/task514_argument_consequence_classification | argument consequence classification |
1560 | task1560_blimp_binary_classification | In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restriction where a phrase a... | [
"Linguistic Probing"
] | [
"Linguistics"
] | [
"blimp"
] | [
"Grammatical Reasoning"
] | [
"English"
] | [
"English"
] | [
"English"
] | [
"Jonathan Reyes"
] | [{"input": "Bob helped himself to some food.", "output": "good", "explanation": "The use of himself agrees with the singular subject Bob."}, {"input": "American are hard workers.", "output": "bad", "explanation": "This sentence is not a case of anaphor number agreement because the singular American does not agree with ... | [{"input": "Bob revealed themselves to the workers.", "output": "good", "explanation": "The sentence's use of themselves does not agree with the subject Bob."}, {"input": "The worker helped himself", "output": "bad", "explanation": "The singular worker agrees with the singular himself. This is incorrectly labelled."}] | https://huggingface.co/Lots-of-LoRAs/Mistral-7B-Instruct-v0.2-4b-r16-task1560 | https://huggingface.co/datasets/Lots-of-LoRAs/task1560_blimp_binary_classification | blimp binary classification |
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