ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the "A : B" relation.
Categories: Word Analogy
Domains: Commonsense
Reasoning: Relational Reasoning; Commonsense Reasoning; Analogical Reasoning

Positive examples:
input: soda : can. water : ?
output: bottle
explanation: The given analogy relates items to their containers. Soda can be stored in a can. Water can be stored in a bottle.; input: jam : jar. cereal : ?
output: box
explanation: The given analogy relates items to their containers. Jam can be stored in a jar. Cereal can be stored in a box.; input: diapers : bag. honey : ?
output: bottle
explanation: The given analogy relates items to their containers. Diapers can be stored in a bag. Honey can be stored in a bottle.

Negative examples:
input: trash : can. plates : ?
output: wash
explanation: The given analogy relates items to their containers. Trash can be stored in a can. But, wash is not the correct answer to plates, since wash is not a container. Further, the answer models an affordance; input: detergent : bottle. cereal : ?
output: cupboard
explanation: The given analogy relates items to their containers. Detergent can be stored in a bottle. But, cupboard is not the right answer for cereal, since cereal is not stored in a cupboard.; input: picture : frame. poster : ?
output: sack
explanation: The given analogy relates items to their containers. Pictures can be stored in a frame. But, sack is not the right answer for poster, since posters are not stored in sacks.
Task: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
output: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
explanation: The English sentence is correctly translated into Japanese. Kiribati is correctly translated as キリバス.; input: Within one week of starting Who's My Doctor?
output: ” Who 's My Doctor? ” の開始１週間以内に
explanation: The English sentence is correctly translated into Japanese, because the meaning is preserved.; input: We've run a phase two trial in Switzerland on, again, recurrent patients — patients who have received standard therapy and whose cancer has come back.
output: 第二相臨床試験をスイスで行いましたこちらも再発患者対象で標準治療を受けたが癌が再発した患者たちです
explanation: The English sentence is correctly translated into Japanese, because the meaning is preserved.

Negative examples:
input: To you and me, that's a heart attack.
output: 「あなたと私にとって、それは心臓発作ではありません。」
explanation: The English sentence is not correctly translated into Japanese, because the translation says `it is not a heart attack`.; input: And geologists have actually christened — well, they're debating whether to christen — the age that we're living in — they're debating whether to make it a new geological epoch called the Anthropocene, the age of Man.
output: 地質学者によって名づけられたもしくは名づけようと議論している私たちが現在生きている時代を新しい地質学的時代として「人の時代人新世」と呼ばれます
explanation: The English sentence is not correctly translated into Japanese, because the meaning is different.; input: It actually looks better than a brand new one — so looking good there.
output: 心臓発作を引き起こすのです
explanation: The English sentence is not correctly translated into Japanese, because the meaning is different.
Task: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
output: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد.
explanation: The Arabic sentence is correctly translated into Farsi, because the meaning is preserved.; input: صديق لي فعل ذلك — ريتشارد بولينجبروك.
output: دوستم ، ریچارد بولینگ بروک این را کشیده.
explanation: The Arabic sentence is correctly translated into Farsi, because the meaning is preserved.; input: ك أ: أيها الصبية والفتيات المشاهدون ، ادرسوا الفيزياء ،
output: کریس: پسرها و دخترها که تماشا میکنید ، فیزیک بخونید.
explanation: The Arabic sentence is correctly translated into Farsi, because the meaning is preserved.

Negative examples:
input: لا أحد يريد الخضوع لعملية جراحية.
output: خوب سلولهای قلب خیلی حریصند.
explanation: The Arabic sentence is not correctly translated into Farsi, because the meaning is different.; input: وهنا حجة أخرى ضد هذا المنظور.
output: این هم یک استدلال دیگر در مقابل این دیدگاه.
explanation: The Arabic sentence is not correctly translated into Farsi, because the meaning is different.; input: حسنا خلايا القلب في غاية الجشع.
output: هچ کس خواهان یک عمل جراحی نیست
explanation: The Arabic sentence is not correctly translated into Farsi, because the meaning is different.
Task: You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
output: وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
explanation: The Italian sentence is correctly translated into Arabic, because the meaning is preserved.; input: Ma se ammettiamo che l'elaborazione delle informazioni è la fonte dell'intelligenza, che un sistema computazionale idoneo è alla base dell'intelligenza, se ammettiamo che svilupperemo continuamente tali sistemi, e che l'orizzonte cognitivo è di gran lunga maggiore di ciò che sappiamo ora, allora dobbiamo ammettere che stiamo costruendo una sorta di dio.
output: ولكن في اللحظة التي نعترف فيها أن معالجة المعلومات هي مصدر الذكاء ، وأن بعض أنظمة الحاسوب الملائمة تُعبِّر عن أساس الذكاء ، ونعترف أننا سوف نحسِّن هذه الأنظمة باستمرار ، ونعترف أن أفق الإدراك على الأرجح يتجاوز الذي نعرفه حالياً بكثير ، وبالتالي علينا الاعتراف أننا في مرحلة بناء نوع ما من الآلهة.
explanation: The Italian sentence is correctly translated into Arabic, because the meaning is preserved.; input: Tutti hanno accettato di vedere le loro facce affisse fianco a fianco.
output: لقد وافقوا جميعا ان يتم الصاقهم بجوار بعظهم البعض.
explanation: The Italian sentence is correctly translated into Arabic, because the meaning is preserved.

Negative examples:
input: Mi è stata diagnosticata l'encefalomielite mialgica.
output: وهذا يعني لاننا ذهبنا للعراق يجب ان نبقي هناك الى أن تُحلّ الامور.. ربما حتى بعد مائة عام.
explanation: The Italian sentence is not correctly translated into Arabic, because the meaning is different.; input: Un paio di cose.
output: شيئان.
explanation: The Italian sentence is not correctly translated into Arabic, because the meaning is different.; input: E allora questo significa che dato che siamo andati in Iraq, dovremmo anche rimanerci fino a quando la situazione non si sia risolta. Magari anche 100 anni.
output: تم تشخيص إصابتي بمرض التهاب الدماغ والنخاع المؤلم للعضل.
explanation: The Italian sentence is not correctly translated into Arabic, because the meaning is different.
Task: Your task is to localize given English phrase into Telugu language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation or only partial transliteration is not allowed (5) Copy special characters and numbers as is
Categories: Translation
Domains: Computer Science

Positive examples:
input: Information about available protocols
output: అందుబాటులోని నిభందనల గురించి సమాచారం
explanation: The sentence is truly translated as all the words are generic; input: Retro Analog - Modeling Softsynth
output: రిట్రో ఎనలాగ్ - మోడలింగ్ సాఫ్ట్‍‌సింథ్
explanation: The sentence is transliterated as is because the words are domain specific; input: File Manager - Super User Mode
output: దస్త్ర అభికర్త - సూపర్ యూజర్ స్థితి
explanation: The first part of the sentence is translated into Telugu as it is generic and the second part is transliterated as it is domain specific. Also, special characters are copied as is.

Negative examples:
input: Configure the browser behavior
output: బ్రౌజర్ ప్రవర్తనను ఆకృతీకరించుము
explanation: The sentence is generic enough to translate word 'browser' instead of transliteration; input: Bell in Visible Session
output: కనిపించు భాగమునందు
explanation: The localization is wrong as the sentence is only partially translated and there is no transliteration part in it; input: Display the contents of folders (User's home folder as default)
output: ఫోల్డర్సు యొక్క సారమును ప్రదర్శించుము (అప్రమేయంగా రంగస్థలం) 
explanation: The localization is wrong as part of the sentence present in brackets is not correctly translated or transliterated
Task: In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Categories: Sentiment Analysis
Domains: Social Media -> Twitter

Positive examples:
input: Tweet: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it Question: is it a positive tweet?
output: yes
explanation: There is an expression of happiness in this tweet text, hence, we can say it's positive. So answer is 'yes'.; input: Tweet: @jamiesmart I can't  but if you like it, you can see it with me again next week! Yay! x Question: is it a positive tweet?
output: no
explanation: There is an expression of sadness that you are not able to buy something today, hence we can say it's negative. So answer is 'no'.; input: Tweet: @mangopickle i like stab movies.... idk  im scared of paranormal shit Question: is it a negative tweet?
output: yes
explanation: There is a expression of fear in the text, hence we can say that it's negative. So answer is 'yes'.; input: Tweet: Hanging out with basshunter! Omg! He is so nice! But its the to go home to my mike. Question: is it a negative tweet?
output: no
explanation: From the content, we can say that person is enjoying. Hence, it's positive. So answer is 'no'.

Negative examples:
input: Tweet: You know what i hate? When you are marathon comic reading only to find out that part 2 of a story is in a comic you dont get  #Batman686 Question: is it a positive tweet?
output: yes
explanation: There is hateness in the tweet content, it is not a positive tweet.; input: Tweet: So Jason month is definetly coming along Question: is it a positive tweet?
output: no
explanation: Something good is happening, so it is a positive tweet. Still this tweet labeled as no, which is not right.; input: Tweet: So Jason month is definetly coming along Question: is it a negative tweet?
output: yes
explanation: Something good is happening, so it is a positive tweet. Still this tweet labeled as yes for negative sentiment, which is not right.
Task: In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Categories: Language Identification
Domains: News; TED Talks; Wikipedia

Positive examples:
input: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
output: English
explanation: Input sentence is in English language as all the characters are of English alphabets only.; input: मगर उनके निधन के पश्चात उनके भाई सरदार वल्लभ भाई पटेल ने इस वसीयत को स्वीकार नहीं किया और उसपर अदालत में मुकदमा चलाया।
output: Hindi
explanation: Input sentence is in Hindi language as all the characters are of Hindi language only.; input: The then Governor of Kashmir resisted transfer , but was finally reduced to subjection with the aid of British .
output: English
explanation: Input sentence is in English language as all the characters are of English alphabets only.

Negative examples:
input: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
output: English, Hindi
explanation: Input sentence can be in only one language; so, answer should be either Hindi or English only.; input: मगर उनके निधन के पश्चात उनके भाई सरदार वल्लभ भाई पटेल ने इस वसीयत को स्वीकार नहीं किया और उसपर अदालत में मुकदमा चलाया।
output: Spanish
explanation: Language of input sentence can either be Hindi or english; so, answer should be Hindi or English only.; input: The then Governor of Kashmir resisted transfer , but was finally reduced to subjection with the aid of British .
output: Cannot identify the language.
explanation: Answer should be Hindi or English only.
Task: Given a sentence in Korean, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Categories: Translation
Domains: Wikipedia

Positive examples:
input: 1975 년부터 76 년까지 NBA 시즌은 전국 농구 협회 (National Basketball Association)의 30 번째 시즌이었다.
output: 1975  -  76年の全米バスケットボール協会のシーズンは、NBAの第30シーズンでした。
explanation: This is a correct and accurate translation from Korean to Japanese because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.; input: 비교할 수있는 유량 비율을 유지할 수 있으면 결과가 높습니다.
output: 匹敵する流速を維持することができるとき、結果は高いです。
explanation: The resulting paraphrased translation from Korean to Japanese is correct because the resulting translation holds the message that results are high when comparable rates of flow are maintained.

Negative examples:
input: 1560 년 10 월 파리에서 그는 비밀리에 영국 대사 인 니콜라스 트록 모튼을 만났고 스코틀랜드를 통해 영국으로 돌아갈 여권을 요구했다.
output: 1560年10月、彼はパリでイギリスの大使ニコラス・スローモートンと密かに会い、イングランドを通ってスコットランドに戻るためのパスポートを求めた。
explanation: This is not a proper translation from Korean to Japanese because the resulting translation is not accurate to the original idea in which the locations of England and Scotland are not accurate.; input: 구체적인 토론, 공개 프로필 토론 및 프로젝트 토론도 있습니다.
output: パブリックディスカッション、プロファイル固有のディスカッション、およびプロジェクトディスカッションもあります。
explanation: This translated paraphrase from Korean to Japanese is incorrect because the resulting translation does not reflect the actual topics of dicussion and debate relating to profiles and projects.
Task: In this task, you are given two sentences taken from a conversation, and your job is to classify whether these given sentences are sequential or not. We will mark the given sentence pair as 'True' if it's sequential, otherwise 'False'. The two sentences are spoken by two different people. 
Categories: Coherence Classification
Domains: Dialogue; Commonsense -> Concepts and Relations -> Social Commonsense
Reasoning: Commonsense Reasoning -> Social Situations; Reasoning on Social Interactions

Positive examples:
input:  Noah: When and where are we meeting? :), Madison: I thought you were busy...? 
output: True
explanation:  The sentences are sequential here because other person is replying to the question asked and are in same context. So, it's a positive example.; input:  Matt: Do you want to go for date?, Agnes: That's fine. 
output: False
explanation:  The sentences aren't sequential here because the second person didn't answer the question asked by the first person. The second person's answer is vague. So, it's a positive example.

Negative examples:
input:  Ray: Hey guys, I don't know if you heard but someone stole my bike yesterday so I'm going to post it on fb and would appreciate if you share! THX, Sam: Let us know if you need someone to go dumpster diving with 
output: True
explanation:  The sentences aren't sequential here as the two person are talking in completely different context. So, the answer should be False. So, this is a negative example. ; input: Jennifer: OH. MY. GOD. is that you?? I would not recognize you haha, Karen: of course it's me, i always look like that hahaha
output: False
explanation: The sentences are sequential here as the two person are talking in same context. So, the answer should be True. So, this is a negative example.
Task: In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
Categories: Translation
Domains: Captions -> Image Captions

Positive examples:
input: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
output: A herd of sheep standing together grazing in a pasture.
explanation: The translated sentence also talks about a standing herd of sheep, thus we can say that it is a correct translation from Gujarati to English.; input: ટાંકીના ઢાંકણમાં ગુમ થયેલી શૌચાલયથી બાથરૂમ ફરી બનાવવામાં આવી રહ્યું છે.
output: A bathroom being remodeled with a toilet missing the tank lid.
explanation: The translated sentence conveys the same meaning, which is a missing tank lid on the toilet, hence it is a correct translation.; input: એક માણસ ભીની ફૂટપાથ નીચે મોટરસાઇકલ ચલાવી રહ્યો છે.
output: A man is riding a motorcycle down a wet sidewalk.
explanation: The translated sentence conveys the same meaning where the man is riding a bike on a wet sidewalk, thus it is a correct translation from Gujarati to English.

Negative examples:
input: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
output: A herd of cow standing together grazing in a pasture.
explanation: This translation from Gujarati to English is wrong because there is no herd of cows but rather a herd of sheep. The correct translation is 'A herd of sheep standing together grazing in a pasture.'.; input: ટાંકીના ઢાંકણમાં ગુમ થયેલી શૌચાલયથી બાથરૂમ ફરી બનાવવામાં આવી રહ્યું છે.
output: A living room being remodeled with a toilet missing the tank lid.
explanation: This translation from Gujarati to English is wrong because the bathroom is remodeled, not the living room. The correct translation is 'A bathroom being remodeled with a toilet missing the tank lid.'.; input: એક માણસ ભીની ફૂટપાથ નીચે મોટરસાઇકલ ચલાવી રહ્યો છે.
output: A woman is riding a motorcycle down a wet sidewalk.
explanation: The translation from Gujarati to English is wrong because man is not driving car, he is driving motorcycle. The correct translation is 'A man is riding a motorcycle down a wet sidewalk.'.
Task: The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any special characters like '#@%$-+_=^&!*', then do not replace them. *INCLUDE* the special characters as suited when translating to English. Please keep them as they are in the translations. 4) Note the input is all case-sensitive except for special placeholders, and output is expected to be case-sensitive. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Želim da sada zamislite nosiv robot koji vam daje nadljudske sposobnosti, ili neki drugi koji omogučuje korisnicima invalidskih kolica da stoje i ponovno hodaju.
output: I want you now to imagine a wearable robot that gives you superhuman abilities, or another one that takes wheelchair users up standing and walking again.
explanation: Translation is correct and fluent.; input: Mi u Berkley Bionics-u zovemo te robote egzoskeletoni.
output: We at Berkeley Bionics call these robots exoskeletons.
explanation: Translation is fluent, formal, accurate and has preserved case-sensitive words like Berkley Bionics.; input: Ovo nije samo neko razmišljanje o plavom nebu.
output: This is just not some blue sky thinking.
explanation: Translation correctly preserves the natural occurrence of the sentence and its entities like "plavom nebu" is translated to "blue sky", is fluent and case-sensitive.

Negative examples:
input: Dakle, to je za ozbiljno.
output: so this is for real.
explanation: The input is not case-sensitive and completely lowercased.; input: Sada ćemo se okrenuti prema korisnicima invalidskih kolica nešto, oko čega sam posebno strastven
output: now lets turn our heads towards the wheelchair users something that I'm particularly passionate about.
explanation: Translation has no punctuations and is not case-sensitive.; input: I to je zapravo konzervativna procjena.
output: and thats, actually! a conservative estimate.
explanation: Translation has incorrect use of punctuations in "actually!" and "thats". Translation is not case-sensitive.
Task: In this task, given a sentence in the English language, your task is to convert it into the Bahasa (Indonesian) language.
Categories: Translation
Domains: News

Positive examples:
input: At its peak in the 1970s, the programme achieved nine million viewers.
output: Pada puncaknya di tahun 1970-an, program mencapai 9 juta pemirsa.
explanation: The above sentence is correctly translated from English to Bahasa Indonesia.; input: Oklahoma Senator Tom Coburn initially blocked Senate action on the bill, warning that it could potentially lead to excessive lawsuits against employers and insurers.
output: Senator Oklahoma Tom Coburn awalnya mencekal tindakan Senat pada undang-undang, memperingatkan bahwa hal itu berpotensi menimbulkan tuntutan hukum yang berlebihan terhadap pemilik perusahaan dan perusahaan asuransi.
explanation: The above sentence is correctly translated from English to Bahasa Indonesia.; input: Other represented countries were Israel (Maccabi Haifa), Scotland (Rangers), Ukraine (Shakhtar Donetsk), and Netherlands (AZ Alkmaar).
output: Perwakilan negara yang lainnya Israel (Maccabi Haifa), Skotlandia (Rangers), Ukraina (Shakhtar Donetsk), dan Belanda (AZ Alkmaar).
explanation: The above sentence is correctly translated from English to Bahasa Indonesia.

Negative examples:
input: In 2003 this was 14.1 billion global hectares, or 2.2 global hectares per person (a global hectare is a hectare with world-average ability to produce resources and absorb wastes).
output: Bos IAG menyebut penjualan ini sebagai "berita bagus untuk Inggris" yang hasilnya akan "bagus untuk bisnis di Inggris dan konsumen di Inggris."
explanation: The above sentence is not correctly translated from English to Bahasa Indonesia as none of the words match the translation.; input: The album features Shine On You Crazy Diamond, with lyrics explicitly about Barrett's rise to fame and subsequent dissolution.
output: Para pilot penyelamat Swiss Air Zermat menawarkan bantuan mereka dalam usaha itu.
explanation: The above sentence is not correctly translated from English to Bahasa Indonesia as none of the words match the translation.; input: He split the two Toyota cars of Timo Glock and Jarno Trulli, who completed the top eight.
output: Kejatuhan lebih jauh perusahaan tersebut diprediksi pada tahun fiskal perusahaan berikutnya.
explanation: The above sentence is not correctly translated from English to Bahasa Indonesia as none of the words match the translation.