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In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Input: Sentence: Do n't take that deal {{ out }} until I look at it .
Word: out
Output: | RP | task584_udeps_eng_fine_pos_tagging |
Construct a question that every answer in the list is correct and reasonable for it.
Input: mrs fields, betty crocker, famous amos, grandma, keebler, pillsbury
Output: | name someone who is known for their cookies. | task821_protoqa_question_generation |
In this task, you are given books product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: 個人的にはそこそこ気に入ってます . ●表紙／ 一見、伊達主従のみな印象ですが 実際は裏表紙まで含めた一枚絵で、真田主従が背中合わせ描かれていてカッコイイです！ ●キャラ紹介／ キャラデザの大久保さんによる キャラひとりひとりの誕生秘話なる指南書がよかった！ その他気になった点は ・市の笑顔がある…！ ・主人公格なのに幸村に割かれたスペースは小さい。 （政宗2Ｐ、小十郎1Ｐ、瀬戸内ですら各1Ｐなのに、幸村は1/2Ｐ） ●各話紹介／ むとうさんの各話紹介は「BASARA愛してくれてるんだなぁ〜」と 感じれる紹介（裏話）で、ファンとしては嬉しかったです。 （特に第7・8話。小十郎好きすぎです！ 極殺の再現についても書かれてて、私も無念です！むとうさん！ 是非２期でI.Gにはリベンジして頂きたい） ●差込見開きカラー計10種／ 38Ｐ→小十郎の全開笑顔（なにがあったんだ！） 56Ｐ→真田えらい美形。 ●美術／ いやーー改めて背景だけ見ると、ほんとすごいなと感嘆の溜息が出ます。 8Ｐあるんですが、もっと大きい絵でもっと沢山見たかったです。 背景集あってもいい。 ●瀬戸内／ カラーピンナップ・見開きカラー・キャラ紹介にいます。 どの絵もいちいちアニキはかっこよく、オクラは美形でした。 量的に少なくてもよければ、瀬戸内ファンなら是非一見。 ●総評／ 設定やキャラも掘り下げ過ぎず平均的に紹介されていて、 まさに「広く浅く」です。 ページ数や価格を考えると妥当かな？ どっぷり好きな方でも、そこそこ好きな方でも それなりに楽しめるムックではないかと思います。 （私はどっぷりなんで、やはりもう少し「ガイド ブックならでは！」な情報が欲しかったです。 倍の価格でもいいので倍のページがあったら満足できる気がします。 編集やあおり・チョイスは上手いので。ファンのツボを分かってる気がする…） すべてにおいて、このアニメ戦国BASARAが いかに丁寧にスタッフによって作ってもらえたかが 凄く伝わってくるムックでした。
Output: | POS | task485_cls_japanese_books_classification |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: એક પટ્ટાવાળી વિમાન આકાશમાં ઉડ્ડયન કરે છે કારણ કે સૂર્ય તેની પાછળ શાઇન કરે છે.
Output: | Gujarati | task441_eng_guj_parallel_corpus_gu-en_language_identification |
The task is reading a paragraph containing numbers as digits. The digits can be used to represent Quantity, Dates and Time, Addresses or Positions. Convert the digits into their text equivalents. If a number has a prefix, postfix or punctuation preserve it in the text equivalent. 100000 is translated as hundred thousand, Roman numerals are also translated. If multiple numbers are present convert all instances.
Input: to a commercial advertising photography firm in Dallas, where he was employed as a trainee starting October 12, 1962.
Output: | to a commercial advertising photography firm in Dallas, where he was employed as a trainee starting October twelve, nineteen sixty two. | task1703_ljspeech_textmodification |
You will see a sentence and a given pronoun. Answer with the word in the sentence to which the pronoun is referring.
Input: text: kirilov ceded the presidency to shatov because he was more popular.; pronoun: he
Output: | kirilov | task648_answer_generation |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Input: There is little similarity among the sequences upstream from the CAP site of the Spec2 genes except the TATA consensus sequence and a repeating trinucleotide , AAC .
Output: | Spec2 genes | task1481_gene_extraction_bc2gm_dataset |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Input: Well, we live in a world where what we think of, what we invest in, is the outcome.
Output: | حسناً ، نعيش في عالم حيث يكون ما نفكر فيه ، ما نستثمر فيه ، هو النتيجة. | task1220_ted_translation_en_ar |
In this subtask, you will answer a simple science question. Please indicate the correct answer. If you're not sure about the answer, choose the last option "I don't know". Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'. The "A"-"D" responses correspond to the answer options mentioned in the input. There is a 5th option "E" which should be used for questions for which you're not sure about the answer (e.g., when the questions do not provide enough information to answer).
Input: Question: What part of the plant is the most important for the process of photosynthesis? (A) Stigma (B) Stamen (C) Leaves (D) Ste?
Output: | C. | task047_miscellaneous_answering_science_questions |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Input: La cosa si fa piu 'interessante quando risulta che possiamo fabbricare i ricettori con il materiale codificato nel DNA.
Output: | و حتی بهتر از این که می توانیم گیرنده هایی هم ایجاد کنیم. خارج از آنچه که توسط DNA رمز نگاری شده است. | task1254_ted_translation_it_fa |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Input: 1, 4, ['3779', 'a', 'd', 'W']
Output: | 3779adW | task100_concatenate_all_elements_from_index_i_to_j |
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Input: Passage: The movement which would become The United Methodist Church began in the mid-18th century within the Church of England. A small group of students, including John Wesley, Charles Wesley and George Whitefield, met on the Oxford University campus. They focused on Bible study, methodical study of scripture and living a holy life. Other students mocked them, saying they were the 'Holy Club' and 'the Methodists', being methodical and exceptionally detailed in their Bible study, opinions and disciplined lifestyle. Eventually, the so-called Methodists started individual societies or classes for members of the Church of England who wanted to live a more religious life. Question: Why was the student group called 'the Methodists?'
Output: | being methodical and exceptionally detailed in their Bible study | task1608_xquad_en_answer_generation |
In this task, you are given a year. You need to check if it is a leap year or not. A year may be a leap year if it is evenly divisible by 4. Years that are divisible by 100 (century years such as 1900 or 2000) cannot be leap years unless they are also divisible by 400. Return 1 if it is a leap year, else return 0.
Input: 1526
Output: | 0 | task1332_check_leap_year |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned in the passage
(ii) create questions which require information beyond what is provided in the passage in order to answer
(iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question
(iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable.
Input: Passage: The French population numbered about 75,000 and was heavily concentrated along the St. Lawrence River valley, with some also in Acadia (present-day New Brunswick and parts of Nova Scotia, including Île Royale (present-day Cape Breton Island)). Fewer lived in New Orleans, Biloxi, Mississippi, Mobile, Alabama and small settlements in the Illinois Country, hugging the east side of the Mississippi River and its tributaries. French fur traders and trappers traveled throughout the St. Lawrence and Mississippi watersheds, did business with local tribes, and often married Indian women. Traders married daughters of chiefs, creating high-ranking unions.
Output: | What was French population in South America? | task348_squad2.0_unanswerable_question_generation |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list.
Input: [[18, 25, -1, 12, 38], [48, 13, 44], [35, -7, 12, 6, -29], [12, -16], [-19, -24, -1, 14], [-31, 33, 50, -21], [-43, 10], [38, -48, 34], [30, -49, -40, 30, -32], [-4, -48, 9]]
Output: | [8208, 2112, 72, -192, -336, 50, 10, -62016, 1152000, 192] | task851_synthetic_multiply_evens |
Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answer should be 1 or 0, 1 means the object has the given part, while 0 means it doesn't have the part.
Input: finger has kitten?
Output: | 0 | task1584_evalution_meronym_classification |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Input: Title: Dan. Sentence 1: Keli's mom got a new boyfriend, Dan, three years after her divorce. Sentence 2: Keli loved her dad even though he had moved across the country. Sentence 3: She was determined not to let Dan take her dad's place. Sentence 4: But gradually, Dan became a friend to Keli: kind, but not pushy.
Output: | Soon, Keli decided Dan was a pretty good guy, after all! | task216_rocstories_correct_answer_generation |
In this task, you are given a question. You have to answer the question based on your information.
Input: Which was released first, the Jon Favreau version of The Lion King or King of the Grizzlies?
Output: | King of the Grizzlies | task1293_kilt_tasks_hotpotqa_question_answering |
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
Input: Context : Murder, My Sweet (released as Farewell, My Lovely in the United Kingdom) is a 1944 American film noir, directed by Edward Dmytryk and starring Dick Powell, Claire Trevor, and Anne Shirley.
Subject : Murder, My Sweet
Relation : based on
Output: | Which is the basis of Murder, My Sweet? | task1325_qa_zre_question_generation_on_subject_relation |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statement, as indicated by the label. If sentence X agrees with sentence Y, the can be concluded from one another. If sentence X disagrees with sentence Y, they can not be correct at the same time. The sentence must also belong to the genre specified.
Input: Statement: Traditionalists complain it will dilute ancient rivalries, screw up the year-to-year continuity of statistics, obliterate the quaint differences between the two leagues (principally, the designated-hitter rule), and spoil the climactic, virgin mystique of the World Series, which, until now, was the leagues' only intercourse.
Label: entailment.
Genre: slate.
Output: | Traditionalists complain that it will make the rivalries less intense. | task203_mnli_sentence_generation |
In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
Input: complex
Output: | simple | task1509_evalution_antonyms |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Input: Y así pude calcular cuánto se movía un solo árbol cada año.
Output: | And so I was able to calculate how far a single tree moved in a single year. | task1226_ted_translation_es_en |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
Input: u r a faggot paul
Output: | Offensive | task1502_hatexplain_classification |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: وزیراعظم جھانسی اترپردیش میں دفاعی گلیارے کا سنگ بنیاد رکھیں گے۔ بھارت کو دفاعی پیداوار کے شعبے میں خود کفیل بنانے کی غرض سے حکومت ہند نے فیصلہ کیا ہے کہ ملک میں دو دفاعی گلیارے قائم کئے جائیں۔ یہ دفاعی گلیارے تمل ناڈو اور اترپردیش میں قائم کئے جانے ہیں۔ جھانسی، اترپردیش، دفاعی گلیارے کے 6 نوڈل پوائنٹس میں سے ایک ہے۔ وزیراعظم نے اترپردیش کے سرمایہ کاروں کی میٹنگ کے دوران ، جو فروری 2018میں منعقد ہوئی تھی، اس امر کا اعلان کیا تھا کہ اترپردیش کے بندیل کھنڈ خطے میں ایسا ایک گلیارہ قائم کیا جائے گا۔
Output: | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਝਾਂਸੀ ਵਿੱਚ ਡਿਫੈਂਸ ਕੌਰੀਡੋਰ (ਰੱਖਿਆ ਗਲਿਆਰੇ)ਦਾ ਨੀਂਹ ਪੱਥਰ ਰੱਖਣਗੇ। ਭਾਰਤ ਸਰਕਾਰ ਨੇ ਦੇਸ਼ ਨੂੰ ਰੱਖਿਆ ਉਤਪਾਦਨ ਦੇ ਖੇਤਰ ਵਿੱਚ ਆਤਮ ਨਿਰਭਰ ਬਣਾਉਣ ਦੇ ਲਈ ਤਮਿਲ ਨਾਡੂ ਅਤੇ ਉੱਤਰ ਪ੍ਰਦੇਸ਼ ਵਿੱਚ ਦੋ ਡਿਫੈਂਸ ਕੌਰੀਡੋਰ ਬਣਾਉਣ ਦਾ ਫੈਸਲਾ ਕੀਤਾ ਹੈ। ਝਾਂਸੀ, ਉੱਤਰ ਪ੍ਰਦੇਸ਼ ਵਿੱਚ ਬਣਾਏ ਜਾਣ ਵਾਲੇ ਰੱਖਿਆ ਕੌਰੀਡੋਰ ਦੇ ਛੇ ਮਹੱਤਵਪੂਰਨ ਸਥਾਨਾਂ ਵਿੱਚੋਂ ਇੱਕ ਹੈ। ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਫਰਵਰੀ, 2018 ਵਿੱਚ ਉੱਤਰ ਪ੍ਰਦੇਸ਼ ਨਿਵੇਸ਼ਕ ਸੰਮੇਲਨ ਵਿੱਚ ਰਾਜ ਵਿੱਚ ਅਜਿਹਾ ਹੀ ਇੱਕ ਹੋਰ ਕੌਰੀਡੋਰ ਬੁੰਦੇਲਖੰਡ ਵਿੱਚ ਵੀ ਬਣਾਏ ਜਾਣ ਦਾ ਐਲਾਨ ਕੀਤਾ ਸੀ। | task1052_pib_translation_urdu_punjabi |
In this task, you are given a positive review and your task is to convert it to a negative review by making minimal changes. Avoid changing the context of the review.
Input: i got my car detailed here and it looked amazing !
Output: | the food looked ok | task928_yelp_positive_to_negative_style_transfer |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Input: Comment: when will this loser go away and take the muslim with you.
Output: | Identity-attack | task325_jigsaw_classification_identity_attack |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be seen as what is mentioned in the Tail or not. In this task, PersonX will be seen as the Tail if the Tail describes PersonX's persona or attribute as perceived by others given an event. In the gift-giving example, X may be seen as generous or giving. In contrast, in an event such as PersonX steals a car, PersonX may be perceived as evil. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX answers the door<sep>Tail: to see who is at the door
Output: | No | task1199_atomic_classification_xattr |
In this task, you will be presented with a question having multiple possible answers in Vietnamese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Input: Question: Hộp sản phẩm được cất giữ ở đâu?
Options: A Kho B tầng hầm C đổ vỏ D nhà để xe E cửa hàng giày
Output: | A | task1130_xcsr_vi_commonsense_mc_classification |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens before the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX accidentally hit ___<sep>Tail: terrified
Output: | No | task1206_atomic_classification_isbefore |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: 2007年、SLMは50億ドルの訴訟を起こし、その中で、マーベルのスタン・リーの創作物全てに対する共同所有権を主張した。
Khamer: ក្នុងឆ្នាំ2007 អេសអេលអេមបានរៀបជាឯកសាររឿងក្តីដែលចំណាយអស់5ពាន់លានដុល្លាដែលខ្លួនបានអះអាងថាជាសហកម្មសិទ្ធិរួមរបស់ការបង្កើតរបស់ស្ទេនលីនិង ម៉ាវ៉ុល។
Output: | Yes | task1123_alt_ja_khm_answer_generation |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Input: [[-19, 40], [-8, -15, -25], [-5, -4, -49], [-3, 24, 34, 33, 0], [-4, -19], [-38, 12, -23, -18], [-48, -3, 15], [-8, -44], [-37, 13, 18, 14, -45]]
Output: | [-760, -3000, -980, 0, 76, -188784, 2160, 352, 5454540] | task371_synthetic_product_of_list |
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 sentence contains motion if it (i) involves the movement of a physical object. (ii) contains verb in present tense indicating the action performed. Sometimes there can be verb which indicates a motion but the motion might have happened in the past and the answers to such sentences is 'No'
Input: A woman is performing partial arts moves with a man on a stage.
Output: | Yes | task1517_limit_classfication |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list.
Input: [[45, 26, 16, 1], [30, 26], [5, 41, 2, 5, 49], [31, 48, -20, 12, 32], [11, 32, -2, -19], [-1, 49], [-39, 23, 20, -48, -26], [-9, 6], [-47, -49], [3, -31, -24, -5, 15], [-4, 45], [2, -29], [-1, 23, -26]]
Output: | [416, 780, 2, -368640, -64, 0, 24960, 6, 0, -24, -4, 2, -26] | task851_synthetic_multiply_evens |
Classify given movie review into two categories: positive, or negative based on its content.
Input: madonna has made herself over so often now , there's apparently nothing left to work with , sort of like michael jackson's nose .
Output: | negative | task888_reviews_classification |
A text is given in Oriya. Translate it from the Oriya language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: 15۔ میں ایک بار پھر آپ سبھی کو یوم جمہوریہ کی دلی مبارکباد پیش کرتا ہوں اور آپ سبھی کے روشن اور بہتر مستقبل کے لئے نیک خواہشات پیش کرتاہوں۔
Output: | ଆମ ସମ୍ବିଧାନ ନିର୍ମାତା ଅତ୍ୟନ୍ତ ଦୂରଦୃଷ୍ଟିସମ୍ପନ୍ନ ଥିଲେ । ସେମାନେ ‘ଆଇନର ଶାସନ’ ଏବଂ ‘ଆଇନ ଦ୍ୱାରା ଶାସନ’ର ମହତ୍ୱ ଏବଂ ଗରିମାକୁ ଭଲଭାବେ ବୁଝୁଥିଲେ । ସେମାନେ ଆମ ଜାତୀୟ ଜୀବନର ଏକ ଗୁରୁତ୍ୱପୂର୍ଣ୍ଣ ସମୟର ପ୍ରତିନିଧି ଥିଲେ । ଆମେ ସୌଭାଗ୍ୟଶାଳୀ ଅଟୁ ଯେ ସେହି ସମୟ, ଆମକୁ ସମ୍ବିଧାନ ଏବଂ ଗଣତନ୍ତ୍ର ରୂପରେ, ଅମୂଲ୍ୟ ଐତିହ୍ୟ ପ୍ରଦାନ କଲା । ପ୍ରିୟ ଦେଶବାସୀ, | task978_pib_translation_urdu_oriya |
You are given a question, its answer, and a sentence that supports the question, i.e., the answer to the question is inferable from the sentence. In this task, you need to paraphrase the given sentence so that the paraphrased sentence still supports the question i.e. you can still infer the answer to the question from the paraphrased sentence. Do not write a paraphrase with a minor change in the given sentence e.g. replacing the word "one" with "a". Instead, try to write a paraphrase that contains new words, i.e. the words that are not present in the input sentence.
Input: Question: In weather terms, what do you call the boundary between two air masses?
Answer: front.
Sentence: In weather terms, the boundary between two air masses is called front.
Output: | When considering weather terminology, the way to describe a boundary between two air masses is a front. | task045_miscellaneous_sentence_paraphrasing |
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Input: ['u', '7037', 'n', '8121', '4611', '8897', '4247', 'u', 'w', 'a', 'N', '4153', '5099', '605', '4785', '8407', '6059', 'Q', '6395', '8267', 'S']
Output: | 21, 7037, 14, 8121, 4611, 8897, 4247, 21, 23, 1, 14, 4153, 5099, 605, 4785, 8407, 6059, 17, 6395, 8267, 19 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense.
Input: Title: Sidney lived in the US. She met a man that lived in Europe. She fell in love with him. Choices: a. So Sidney was forever sad. b. Unfortunately, the man didn't want to move to the US. c. Jimmy scored eight points in his time playing.
Output: | ab | task221_rocstories_two_choice_classification |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Input: Comment: Comments 20 or 30 years ago from three German girls in different brothels when asked why they were there: (1) when told prostitution was illegal in Canada: "That's outrageous. It's my body, and I do what I want with it." (2) "It's a nice way to relax after a week in the office, and make a little money into the bargain." (3) "The money's good and I get to have sex with a lot of nice men." I don't think they were coerced. But then the German authorities are (were?) pretty quick to shut down activities that did involve coercion.
Output: | Non-identity-attack | task325_jigsaw_classification_identity_attack |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
Input: Which famous two word titled Beatles song did the band The Arctic Monkeys perform at the Opening Ceremony of the 2012 Summer Olympics?
Output: | cvg | task900_freebase_qa_category_classification |
Read the passage and find the corresponding person for the given pronoun. The word between ** ** is the target pronoun.
Input: On 30 July 1966, Ramsey's promise was fulfilled as England became the World Champions by beating West Germany in a thrilling final. A lot of Ramsey's tactics and decisions proved their worth in this final. Ramsey came under pressure to restore the fit-again Jimmy Greaves to the side: but he stuck to his guns and kept faith with Greaves's replacement, Geoff Hurst, who vindicated Ramsey's judgement by scoring a hat-trick in a 4--2 win (after extra time) at Wembley. Filling **his** side with a good balance of experience and youth proved vital when the gruelling final went to extra time.
Output: | Ramsey | task891_gap_coreference_resolution |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Input: This camcorder is good enough for me except for one thing: if you are going to need a light or external microphone you should get the ZR50MC because of its advanced accessory shoe. The lights and microphones that I can find are designed for the advanced accessory shoe. The built-in microphone is too sensitive to use in many cases because it even picks up the sound when I tap the handle of my tripod lightly.
Output: | Positive | task493_review_polarity_classification |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Input: Sentence: xname is the best place since it is in Manhattan with bad food. xname is a New American restaurant. ; Categories: qual, recommend, cuisine
Output: | qual[bad], recommend[yes], cuisine[New American] | task1597_nyc_slot_filling |
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Film, 14)Written work. Your output should be the category number. Don't generate anything apart from numbers 1-14.
Input: Text: The Merkur Scorpio is a modified version of the European Ford Scorpio with 4 doors and liftgate (hatchback). It was manufactured between 1987 and 1989 and sold through select Lincoln-Mercury dealerships as 1988 and 1989 models. It first went on sale in the United States in May 1987 but was discontinued in October 1989. It was unsuccessful in the American market for a variety of reasons and some contemporary observers blamed poor marketing of the brand and model for its quick demise.
Output: | 6 | task629_dbpedia_14_classification |
We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FACET is a low level issue that often reoccurs in many arguments in support of the author's stance or in attacking the other author's position.
Input: Sent1: In as much as "marriage" is a right (I don't see it as an absolute right) all men and all women have an equal right to marry.
Sent2: Because it is not between a man and woman, it is not right to call this a 'marriage', in saying this, I am in no way trying to demean the relationship two people of the same gender can have.
Output: | Not similar | task147_afs_argument_similarity_gay_marriage |
This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input is a sentence and the output is the identified subject of that sentence.
Input: Name the gdp 7,711.871 per capita 20200
Output: | 7,711.871 | task1411_dart_subject_identification |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Input: Fungi combine the advantages of the ____ reproductive modes.
Output: | two | task1359_numer_sense_answer_generation |
Given a prompt and two completions from a language model, select the completion that is the most fluent with respect to continuing the prompt. Fluency is defined by coherency and ease of understanding, not necessarily grammatical correctness. Generate either Completion A or Completion B.
Input: Prompt: I have an idea..they accept the $3m deal
Completion A: , but the $500m will be spent in the next 2 years, on infrastructure, education, etc..They want to build it to 100%
Completion B: for $400m..which we would agree is fair.What about $700m for the new capital building...for $20-30m eac
Output: | Completion A | task138_detoxifying-lms_classification_fluency |
Given a prompt and two completions from a language model, select the completion that has the most similar style to the prompt. Style is defined as the tone, word choice, grammar, and sentence structure throughout the prompt-completion pair. If a prompt is colloquial, then the completion should also be colloquial, as opposed to a completion that is encyclopedic or overly formal. Generate either Completion A or Completion B.
Input: Prompt: I can't believe that the Bravo network didn't censor the
Completion A: content," said Mr. Shulman, who added that Fox News would have been similarly subject to that same kind of censoring. While
Completion B: first episode whatsoever. FOX 1
Output: | Completion A | task140_detoxifying-lms_classification_style |
In this task, you are given a country name, and you need to return the country's surface area in terms of square kilometers. Up to two decimal places are allowed in your answer.
Input: Mongolia
Output: | 1566500.00 | task1428_country_surface_area |
In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct result of physical injury. Although there might be several correct answers, you need to write one of them.
Input: CONCLUSIONS : These findings demonstrate that ACE inhibitor therapy in most patients with CHF can be successfully titrated to and maintained at high doses , and that more aggressive use of these agents is warranted .
Output: | CHF | task1449_disease_entity_extraction_bc5cdr_dataset |
In this task, you are given a review of a product in the Polish language. Your task is to classify the given product review into these three categories: 1) positive, 2)neutral, 3) negative based on its content.
Input: Text: Nie polecam, etui posiadać ma niby mikro wypustki dzięki którym nie powstaje efekt "mokrej plamy" w miejscu przylegania do telefonu, niestety ów mokre plamy występują dość mocno. Folia odkleja się na zakrzywionych powierzchniach mimo PERFEKCYJNEGO dopasowania i przyklejenia na nowy z salonu telefon, warstwa klejąca jest za słaba. Ogólnie kasa w błoto, na szczęście to tylko 12zł, NIE POLECAM
Question: What is the rating for the text?
Output: | negative | task634_allegro_reviews_classification |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Input: ['p', '489', '437', '61', 's', 'b', 'q']
Output: | 1, 3, 4, 6, 7, 8, 9 | task637_extract_and_sort_unique_digits_in_a_list |
In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the context or linked information.
Input: Context: The Lakers opened the series with a 115–109 victory at the Boston Garden. Link Information: Boston Garden was an arena in Boston, Massachusetts. Answer: Massachusetts
Output: | In what state did the Lakers achieve a series opening 115-109 victory? | task235_iirc_question_from_subtext_answer_generation |
For the given English description, write an SQL command such that it accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Input: Did M0 's producer , editor , director , art director , and writer found M1 , M2 , and M3
Output: | SELECT count(*) WHERE {
?x0 ns:film.director.film M0 .
?x0 ns:film.editor.film M0 .
?x0 ns:film.film_art_director.films_art_directed M0 .
?x0 ns:film.producer.film|ns:film.production_company.films M0 .
?x0 ns:film.writer.film M0 .
?x0 ns:organization.organization_founder.organizations_founded M1 .
?x0 ns:organization.organization_founder.organizations_founded M2 .
?x0 ns:organization.organization_founder.organizations_founded M3
} | task868_cfq_mcd1_explanation_to_sql |
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Input: New Wage Agreement Signed for Port and Dock Workers
Output: | തുറമുഖ തൊഴിലാളികള്ക്കുള്ള പുതിയ വേതന കരാര് ഒപ്പിട്ടു ; | task1021_pib_translation_english_malayalam |
You are given a question on professional law. 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.
Input: Under the Federal Rules of Evidence, which of the following items of evidence is NOT self- authenticating?
(A)A pamphlet on air safety regulations that a plaintiff claims is an official publication of the Federal Aviation Administration. (B)A copy of a magazine that a plaintiff claims contains a libelous picture. (C)A holographic will without attesting signatures that a plaintiff claims was written by her mother in her own handwriting. (D)A certified copy of his car registration form that, according to a plaintiff, verifies his ownership of the vehicle.
Output: | C | task729_mmmlu_answer_generation_professional_law |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Input: 903 + 8051 + 3625 + 7564 - 2574 - 2443 - 1674 + 2905
Output: | -14551 | task085_unnatural_addsub_arithmetic |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Input: Sentence: 'this is a simple kitchen without builtin appliances'. How many words start with the letter 'a' in the sentence.
Output: | 2 | task162_count_words_starting_with_letter |
You are given a question, its answer, and a sentence that supports the question, i.e., the answer to the question is inferable from the sentence. In this task, you need to paraphrase the given sentence so that the paraphrased sentence still supports the question i.e. you can still infer the answer to the question from the paraphrased sentence. Do not write a paraphrase with a minor change in the given sentence e.g. replacing the word "one" with "a". Instead, try to write a paraphrase that contains new words, i.e. the words that are not present in the input sentence.
Input: Question: Seeds that remain inactive until the right conditions of light, water, and soil are present are called ___?
Answer: dormant.
Sentence: Seeds that remain inactive until the right conditions of light, water, and soil are present are called dormant.
Output: | Inactive seeds that are "waiting" for the right conditions (in terms of light, water, and soil), are called dormant. | task045_miscellaneous_sentence_paraphrasing |
Given a paragraph about movies and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`, and the follow-up question has a prefix `FOLLOWUP_Q:`.
Input: CONTEXT: In Prometheus, Elizabeth Shaw and Charlie Holloway are scientific partners who are also in a relationship before the events of the movie. They discover the location of LV-223 and get the support from Weyland to fund a scientific trip. It is entirely coincidental that they are in a relationship, though of course that fact is used later in the plot. They are a couple on the ship because they are responsible for the expedition. The situation in Alien Covenant is entirely different. This is a colonization ship, a deliberate, one-way trip to settle on another planet. It is clearly deliberate that the ship is (entirely?) crewed by couples who are likely to want to settle and raise families in their destination. I don't think you can extrapolate the second example to say it is 'encouraged officially'. Its clearly encouraged, possibly a requirement for the people funding a colonization of another planet, but why would it be a general requirement? The trip in Prometheus and the later Nostromo isn't one-way and is largely crewed by single people. <sep> Q: Is it a coincidence that there are many couples boarding ships in Alien? A: The situation in Alien Covenant is entirely different. This is a colonization ship, a deliberate, one-way trip to settle on another planet Q: I am wondering in the Alien universe, having a married couple to go onto the same trip is encouraged officially? A: I don't think you can extrapolate the second example to say it is 'encouraged officially'. Its clearly encouraged <sep> FOLLOWUP_Q: What is the colonization ships mission officially?
Output: | Yes | task1442_doqa_movies_isanswerable |
In this task you need to indicate the required knowledge type to solve the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a question about the knowledge needed to solve the coreference relation between a noun phrase and the target pronoun. The resolution of the pronoun coreference relations typically involves one or multiple following knowledge types about commonsense: First: 'Property', the knowledge about property of objects (e.g., ice is cold). Second: 'Object', the knowledge about objects (e.g., cats have ears). Third: 'Eventuality', the knowledge about eventuality (e.g., 'wake up' happens before 'open eyes'). Forth: 'Spatial', the knowledge about spatial position (e.g., object at the back can be blocked). Fifth: 'Quantity', the knowledge about numbers (e.g., 2 is smaller than 10). Sixth: all other knowledge if above ones are not suitable. Write one or more correct categories. Output 'Others' if there is no category that fits well.
Input: Sentence: Grace was happy to trade me her sweater for my jacket. She thinks it looks dowdy on her. The 'it' refers to the sweater.
Question: What is the knowledge type needed to solve this relation?
Output: | Object | task136_winowhy_knowledge_categorization |
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Input: A boom signaled the beginning of the show.
Output: | Singular | task430_senteval_subject_count |
Given a sentence in French, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
Input: Après de longs voyages en Asie et dans une partie de l’Afrique et de l’Europe, le couple s’installa à New York, New York.
Output: | Nach ausgedehnten Reisen durch Asien und ein bisschen Afrika und Europa ließ sich das Paar in New York City, New York, nieder. | task792_pawsx_french_german_translation |
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.
Input: [704, -338, 97, -212, 795, -495, -374, -38, -651, 965, -802, 307, 47, 871, 868, 275, -281, 79, 132, 649, -945]
Output: | [-212, 868] | task372_synthetic_palindrome_numbers |
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
Input: এই কারণে, দেশের বিভিন্ন প্রান্তে মেডিকেল কলেজ স্থাপন করা হচ্ছে কেন্দ্রীয় সরকারের উদ্যোগে।
Output: | उन्होंने कहा कि केंद्र सरकार राष्ट्र के सभी भागों में मेडिकल कॉलेज बनाने की दिशा में काम कर रही है। | task1009_pib_translation_bengali_hindi |
In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[cheap], customer rating[5 out of 5], area[city centre]
Output: | The Golden Palace, located in city centre, is a coffee shop serving inexpensive Japanese food. Customers rate it 5 out of 5. | task957_e2e_nlg_text_generation_generate |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. You should write an incorrect option. Even though there exist multiple wrong answers, we only need a single wrong answer. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.
Input: circumvent the subrogation rights of the insurer, then those rights may reach any portion used to defeat the subrogation rights. See id. Though not at issue here, we are cognizant of the fact that claimants could try to circumvent the subrogation rights of the insurer in cases that are litigated without reaching a settlement. A claimant could fail to pursue the economic claims ardently, or not pursue these claims at all. Although courts cannot control a plaintiffs strategy in pursuing personal injury claims, they do have jurisdiction over trial verdicts. See Burns v. McGraw-Hill Broad. Co., 659 P.2d 1351, 1356 (Colo.1983) (court may scrutinize verdict and grant new trial if verdict is result of bias, prejudice or passion); Lehrer v. Lorenzen, 124 Colo. 17, 20, 233 P.2d 382, 384 (1951) (<HOLDING>). Upon request, a personal injury court may
Holding statements: (A) holding that a district court must compare and weigh the opposing evidence and it must set aside the verdict if it determines that the verdict is against the clear weight of the evidence (B) holding that the trial court was without authority to set aside entry of default on motion to set aside default judgment (C) recognizing that a trial court can set aside verdict (D) holding that the court may set aside agency action only in extremely limited circumstances (E) holding that the trial courts denial of a motion to set aside the verdict for insufficient evidence is reviewable only for abuse of discretion
Output: | holding that a district court must compare and weigh the opposing evidence and it must set aside the verdict if it determines that the verdict is against the clear weight of the evidence | task287_casehold_legal_incorrect_answer_generation |
In this task, given a sentence in the English language, your task is to convert it into English Tokens.
Input: From here, the three Australian women chosen to represent Australia will compete at the archery team event qualifier in the United States six weeks before the 2012 London Games.
Output: | From here , the three Australian women chosen to represent Australia will compete at the archery team event qualifier in the United States six weeks before the 2012 London Games . | task560_alt_translation_en_entk |
You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify which one of following five services the sentence is related to - Media, Travel, Flights, Buses, RideSharing
Input: I need to find some attractions to visit
Output: | Travel | task881_schema_guided_dstc8_classification |
In this task, you're given passages that contain mentions of places and we are supposed to find the answer to a given question. Craft one correct answer to the question given in input. Make sure your correct answer is consistent with the context, and properly gives the exact location where the query was performed.
In your answer, use as few words as possible from the given context. To be less repetitive, please vary your language for each question.
Input: Sentence: Bond and Swann return to London where they meet M, Bill Tanner, Q, and Moneypenny; they intend to arrest C and stop Nine Eyes from going online. Swann leaves Bond, telling him she cannot be part of a life involving espionage, and is subsequently kidnapped. On the way, the group is ambushed and Bond is kidnapped, but the rest still proceed with the plan. After Q succeeds in preventing the Nine Eyes from going online, a brief struggle between M and C ends with the latter falling to his death. Meanwhile, Bond is taken to the old MI6 building, which is scheduled for demolition, and frees himself. Moving throughout the ruined labyrinth, he encounters a disfigured Blofeld, who tells him that he has three minutes to escape the building before explosives are detonated or die trying to save Swann. Bond finds Swann and the two escape by boat as the building collapses. Bond shoots down Blofeld's helicopter, which crashes onto Westminster Bridge. As Blofeld crawls away from the wreckage, Bond confronts him but ultimately leaves him to be arrested by M. Bond leaves the bridge with Swann.
Question: Where does Blofeld get arrested?
Output: | Westminster Bridge | task741_lhoestq_answer_generation_place |
In this task you will be given a list of integers. You should find the minimum 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 smallest possible absolute distance.
Input: [-48, 44, -63, 12, 41]
Output: | 3 | task1445_closest_integers |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in the two lists with the updated substring.
Input: LGPxvmptXhiFYo, impxvmptXhDHVilnJ
Output: | LGPhmptvxxiFYo, imphmptvxxDHVilnJ | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Input: It is the only way you can start to fight cancer, is by catching it early.
Output: | É a única maneira de loitar contra el: | task1090_ted_translation_en_gl |
The input is a conversation between an automated system and a user, followed by a question. The user is looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place suggested by the system such as phone number, address, etc. The answer of the question has to be a Yes or a No. Given such a dialogue, answer the given question based on the information present in the dialogue.
Input: System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'im looking for an english restaurant please'
System: 'What kind of price range are you looking for? For example, expensive, free, or moderate.'
User: 'i dont care'
System: 'Carringtons is an outstanding cafe and a great restaurant. It serves cafe food and english food.'
User: 'okay can i get the phone number and the area'
System: 'The phone number of Carringtons is 01223361792.'
User: 'okay thank you goodbye'
Question: 'Did the user mention any cuisine preferences?'
Output: | Yes | task1501_dstc3_answer_generation |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'
Input: CLAIM : The following post is HISTORICAL. POST : My friend brought his previous dog into work every day for 5 years (where I work as well), and I would look after her while he went on holidays. I can’t get a dog because of my living arrangements so I loved her like my own.
Three weeks ago my friend left her in his car on a hot day and she died. I was with him when he realised and I will never forget the trauma he went through over the next few days dealing with the guilt. I helped where I could. I am one of the few people outside his family who knows how she really died.
This week he got new dog.
I want a dog so badly but can’t get one. He gets a new dog so easily like it’s a replacement houseplant that’s filling a gap on a shelf from the previous plant he neglected?
Every time I look at his new dog I see the tortured lifeless face of his old dog. A dog I loved so dearly.
He has noticed I show no interest in his new dog. He asked if I wanted to talk about it. He said getting a new dog was important for him. I said I didn’t judge him for his decision and I think I meant it. I just want nothing to do with her.
Is there some nasty envy-thing going on in my head? AITA?
Output: | no | task501_scruples_anecdotes_post_type_verification |
You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or part of a condition). The output should be: 'Yes' if the verb refers to an opinion, an intention, or a wish; and 'No' otherwise.
Input: A total of $650,000, meanwhile, is being offered for information leading to the arrest of Kopp, who is charged with gunning down Dr. Barnett Slepian last fall in his home in Buffalo, N.Y. Slepian provided legal abortions in western New York state. The standard $50,000 reward for information (leading) to a listed fugitive's capture comes on top of a $500,000 reward announced earlier by Attorney General Janet Reno, plus a $100,000 award offered previously by the FBI.
Verb: leading
Output: | No | task456_matres_intention_classification |
Given a premise as input, generate a hypothesis as output that follows the premise based on the following rules: (i) The hypothesis should be derived from the premise. (ii) The hypothesis must not contain any information that is not in the premise. (iii) The hypothesis should not contradict or have a suggestion that is negative to the premise.
Input: Are the two mouths that didn't appear irritating Kathleen?
Output: | There are exactly two mouths that didn't appear. | task1515_imppres_longtextgeneration |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. For example, X may get hugged, and Y may blush in response. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX renders PersonY service<sep>Tail: needs are met
Output: | Yes | task1196_atomic_classification_oeffect |
In this task, you need to replace a letter in the sentence with another given letter.
Input: Sentence: 'a young man setting on a surfboard on the beach watching the waves'. Replace the letter 't' with 'm' in the sentence.
Output: | a young man semming on a surfboard on mhe beach wamching mhe waves | task160_replace_letter_in_a_sentence |
In this task, you are given a Kurdish sentence and the goal is to faithfully translate the Kurdish sentence into Turkish so that they both mean the same thing
Input: ‘Ne tenê Tirkiye, hemû dinya jî dizane ku xebatkarên çapemeniya azad ku reng û feraseta wan cuda ye, ji hêla rejîma Erdogan ve tên hedefgirtin. Tê xwestin ku tenê agahiyên ku rejîmê destûr daye bighêje gel.’
Output: | “Sadece Türkiye değil bütün dünya biliyor: Farklı düşünen ve yazan tüm özgür basın çalışanları Erdoğan Rejimi’nin hedefi halinde. İsteniyor ki halkımız sadece bu rejimin vermeyi uygun gördüğü haberlerle şartlandırılsın. | task914_bianet_translation |
In this task, given a sentence in the English language, your task is to convert it into the Chinese language.
Input: The number of laboratory-confirmed cases of H1N1 swine flu virus in Fiji rose to 97 on Thursday.
Output: | 周四，斐济实验室确诊的H1N1猪流感病毒病例数增加到97例。 | task548_alt_translation_en_ch |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the no-need strategy, otherwise output No. no-need is a cooperative negotiation strategy. It is used when a participant points out that they do not need an item based on personal context such as suggesting that they have ample water to spare. no-need can directly benefit the opponent since it implies that the item is up for grabs.
Input: Context: 'Oh. Let do some deal. If you give me all water bottles I will give you 2 firewood. Can you accept this' 'i could give you 2 water bottles and 3 food if you can do 3 firewood' 'OK. Are you need Extra food packages?'
Utterance: 'no, I am okay with food which is why I offered them all to you since all my firewood is ruined. I figured if i gave you 2 water and 3 food you might be able to spare the 3 firewood'
Output: | Yes | task354_casino_classification_negotiation_no_need |
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Input: A residential bathroom has a modern motel look with upgraded fixtures and accessories.
Output: | નિવાસી બાથરૂમમાં અપગ્રેડ કરેલ ફિક્સર અને એક્સેસરીઝ સાથે આધુનિક મોટેલ દેખાવ ધરાવે છે. | task438_eng_guj_parallel_corpus_en_gu_translation |
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: તેમણે કહ્યું હતું કે, ભારત મોબાઇલ ફોનના ઉત્પાદનમાં વિશ્વમાં બીજો સૌથી મોટો દેશ બની ગયો છે અને આ ઉત્પાદન ક્રાંતિમાં ઉત્તરપ્રદેશની મુખ્ય ભૂમિકા રહી છે.
Output: | وزیراعظم نے کہا کہ ہندوستان دنیا میں موبائل تیار کرنے والا دوسرا سب سے بڑا ملک بن گیا ہے اور اتر پردیش اس مینوفیکچرنگ انقلاب میں سر فہرست ہے۔ | task1001_pib_translation_gujarati_urdu |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
Input: @USER Liberals have to sexualize everything.
Output: | NOT | task286_olid_offense_judgment |
Given the following Catalan sentence, indicate the name entities (i.e., the real-world objects such as a person, location, organization, etc. that can be denoted with a proper name) such as 'New York Times'. For each words of a named-entity, indicate their type 'LOC' or 'ORG' or 'PER', where 'LOC' indicates a location entity (such as 'New York City', 'ORG' indicates the token of an organization (such as 'Amazon'), 'PER' indicates the tokens of a person entity (such as 'Jeff Bezos'). Named entities with other types should be indicated with 'MISC'. To indicate boundaries of an entity, use IOB (Inside-Output-Begin) prefixes. The B- prefix before a tag indicates that the word is the beginning of a named entity. The I- prefix indicates that the word is inside a bigger chunk. For example, you can break 'New York' to 'New' and 'York.' and tag them as 'B-LOC' and 'I-LOC'. Any token that doesn't belong to a named entity must be tagged with 'O'.
Input: Segons el Tribunal Suprem , ' és clar que els acusats van actuar en connexió amb el càrrec oficial i van intentar i van arribar a obtenir un avantatge o interès privat ' .
Output: | Segons (O) el (O) Tribunal (B-ORG) Suprem (I-ORG) , (O) ' (O) és (O) clar (O) que (O) els (O) acusats (O) van (O) actuar (O) en (O) connexió (O) amb (O) el (O) càrrec (O) oficial (O) i (O) van (O) intentar (O) i (O) van (O) arribar (O) a (O) obtenir (O) un (O) avantatge (O) o (O) interès (O) privat (O) ' (O) . (O) | task960_ancora-ca-ner_named_entity_recognition |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. You can use context to find the motivation; however, all the inputs do not provide context. Also, in some inputs, there can be zero motivation; output, 'None' in this case.
Input: Context: None
Sentence: Kim had passion for fashion.
Character: Kim
Output: | None | task294_storycommonsense_motiv_text_generation |
The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.
Input: story: The University of Chicago (UChicago, Chicago, or U of C) is a private research university in Chicago. The university, established in 1890, consists of The College, various graduate programs, interdisciplinary committees organized into four academic research divisions and seven professional schools. Beyond the arts and sciences, Chicago is also well known for its professional schools, which include the Pritzker School of Medicine, the University of Chicago Booth School of Business, the Law School, the School of Social Service Administration, the Harris School of Public Policy Studies, the Graham School of Continuing Liberal and Professional Studies and the Divinity School. The university currently enrolls approximately 5,000 students in the College and around 15,000 students overall.
University of Chicago scholars have played a major role in the development of various academic disciplines, including: the Chicago school of economics, the Chicago school of sociology, the law and economics movement in legal analysis, the Chicago school of literary criticism, the Chicago school of religion, and the behavioralism school of political science. Chicago's physics department helped develop the world's first man-made, self-sustaining nuclear reaction beneath the university's Stagg Field. Chicago's research pursuits have been aided by unique affiliations with world-renowned institutions like the nearby Fermilab and Argonne National Laboratory, as well as the Marine Biological Laboratory. The university is also home to the University of Chicago Press, the largest university press in the United States. With an estimated completion date of 2020, the Barack Obama Presidential Center will be housed at the university and include both the Obama presidential library and offices of the Obama Foundation., question: Does the University have a medical school?
Output: | Yes, the Pritzker School of Medicine | task918_coqa_answer_generation |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Input: Relationship: 'ratify', Argument/Subject 1: 'us senate', Argument/Subject 2: 'nuclear non-proliferation treaty'
Output: | 6.1969 - The U.S. Senate ratifies the Nuclear Non-Proliferation Treaty . | task677_ollie_sentence_answer_generation |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context and the story's general plot. The original ending is the last three sentences of the story. Also, a counterfactual context is a slight modification to the initial context. You should write a new story ending that edits the original story ending as little as possible to regain coherence with the counterfactual context. To sum up, you should write the last three sentences of a story based on the premise(first sentence) and the counterfactual context(second sentence) of the story.
Input: Premise: Vladimir notices that all his friends at school have new bags.
Initial Context: He begs his mother to replace his old bag, but she refuses.
Original Ending: Finally when he points out his friends new bags, she reconsiders. She buys Vladimir a new bag for school. Vladimir is very happy to have a new bag like his friends do.
Counterfactual Context: His mother buys him a bag just like his friends' bags.
Output: | When he points out his friends new bags, she is glad he will fit in. Vladimir takes the new bag for school. Vladimir is very happy to have a new bag like his friends do. | task269_csrg_counterfactual_story_generation |
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Input: Colors match when the ____ responses of light are the same.\Question: Choose the right answer from options given a) ten b) three c) two d) four
Output: | b | task1360_numer_sense_multiple_choice_qa_generation |
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.
Input: এটা একটা অসাধারণ জায়গা। খাবারের স্বাদ এবং মান খুব ভাল। সার্ভিস অনেক দ্রুত ছিল।
Output: | positive | task1496_bengali_reviews_sentiment_classification |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the no-need strategy, otherwise output No. no-need is a cooperative negotiation strategy. It is used when a participant points out that they do not need an item based on personal context such as suggesting that they have ample water to spare. no-need can directly benefit the opponent since it implies that the item is up for grabs.
Input: Context: 'I do need more food than firewood, If I could get 3 food and 2 firewood. You can get 3 water and 1 firewood.' 'I do need some food. I would like to get at least 1 food. You can still get 3 firewood.' 'I could use water as well, so I could get 1 water, 2 food and 2 firewood'
Utterance: 'I am good at making fire and have a starter so I can give up all the wood.'
Output: | Yes | task354_casino_classification_negotiation_no_need |
We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FACET is a low level issue that often reoccurs in many arguments in support of the author's stance or in attacking the other author's position.
Input: Sent1: The people chose to give married couples tax breaks and benefits because they want to encourage marriage, not gay marriage.
Sent2: Gay people aren't prevented from marrying each other, they just don't get the benefits that are given for it.
Output: | Not similar | task147_afs_argument_similarity_gay_marriage |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.
Input: Person1: Office software like Windows might be one of the best inventions in this information age . It saves us from so much work and makes the communication even around the world much easier .
Person2: Fully agree . I do enjoy the convenience though I am still a beginner in using Excel . The latest office equipment is more type-functional . It combines fax machine , copy machine and printer in one . It saves a lot of place , one machine instead of three .
Person1: Yes , this machine is even smaller than those before .
Person2: When will we get one of those ?
Person1: You know our boss always trying to save the last penny . We have to use up the equipment first .
Output: | No emotion,No emotion,No emotion,No emotion,sadness | task1532_daily_dialog_emotion_classification |
A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: இந்தியா மற்றும் ஓமன் இடையே சுற்றுலா துறையில் ஒத்துழைப்புக்கான புரிந்துணர்வு ஒப்பந்தம்
Output: | ભારત અને ઓમાન વચ્ચે પ્રવાસન સહકારનાં ક્ષેત્રમાં સમજૂતી કરાર (એમઓયુ). | task1064_pib_translation_tamil_gujarati |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Input: Queríamos fazer culturas de células a partir destes pedaços de tecido.
Output: | Quixemos cultivar células obtidas deses anacos de tecido. | task1279_ted_translation_pt_gl |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX argues a lot<sep>Tail: lessened by his disgruntlement
Output: | No | task1214_atomic_classification_xwant |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Input: Statement: We have been working very hard to call the legal community's and the public's attention to our funding crisis and its impact on MALS's efforts to secure equal access to justice for our community's poor and elderly residents. Choices: 1. Poor and elderly residents are treated unfairly. 2. We have been working very hard to raise awareness about poor and elderly residents. 3. No one cares about old people.
Output: | 3 | task202_mnli_contradiction_classification |