inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: ଦେଶର ବିଭିନ୍ନ ଭାଗରେ ପ୍ରାକୃତିକ ଦୁର୍ବିପାକ ଯୋଗୁ ପ୍ରଭାବିତ ହୋଇଥିବା ଜନସାଧାରଣଙ୍କ ସହିତ ଓ ଡାକ୍ତରଖାନାରେ ମୃତ୍ୟୁବରଣ କରିଥିବା ଶିଶୁ ମାନଙ୍କ ସହିତ ଭାରତର ଜନସାଧାରଣ କାନ୍ଧରେ କାନ୍ଧ ମିଳାଇ ଠିଆ ହୋଇଛନ୍ତି ।
A: | സ്വാതന്ത്ര്യത്തിനും ഈ രാജ്യത്തിന്റെ അഭിമാനത്തിനും കീര്ത്തിയ്ക്കും വേണ്ടി ജീവത്യാഗം നടത്തിയവരുടെയും നിരവധി പീനം അനുഭവിച്ചവരുടെയും മറ്റ് ത്യാഗങ്ങള് സഹിച്ചവരുടെയും മുന്നില് 125 കോടി ജനങ്ങള്ക്കു വേണ്ടി ചെങ്കോട്ടയുടെ ഈ കൊത്തളങ്ങളില് നിന്ന് ഞാന് ശിരസ് നമിക്കുന്നു. | 9 | NIv2 | task980_pib_translation_oriya_malayalam | zs_opt | [
0.08826296031475067,
0.913518488407135,
-0.01621401309967041,
-0.645979642868042,
-0.38697904348373413,
-1.001542568206787,
0.5381947755813599,
0.6317089200019836,
-0.6243076324462891,
0.18416276574134827,
-0.6232163906097412,
-0.25419121980667114,
-0.10410108417272568,
0.32020366191864014... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
[Q]: Eu fiz tudo o que podia por cada doente meu.
[A]: Hice todo lo que pude para todos y cada uno de mis pacientes.
[Q]: Aqui está um crítico online, na Amazon.
[A]: Y aquí hay comentarios en línea, en Amazon.
[Q]: E, basicamente, não temem o povo.
[A]: | Y básicamente no temen a la gente.
| 5 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
0.5854384303092957,
0.5866463780403137,
0.17908963561058044,
-0.716632068157196,
-0.3015556037425995,
-0.6228505373001099,
0.5614404678344727,
0.6635967493057251,
0.5132392048835754,
-0.5364243984222412,
0.14162614941596985,
1.0901949405670166,
-0.4759677052497864,
-0.34630686044692993,
... |
This task is to translate the Telugu Language Input to English Language Output
One example: నేను వీడియో చేస్తున్నాను
Solution is here: I am making a video.
Explanation: Both the sentences says the same meaning in different languages, so it is a correct translation.
Now, solve this: ప్రజలు ఏమంటున్నారు:
Solution: | What people are saying: | 6 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.2507716715335846,
0.7211275100708008,
0.3443989157676697,
0.491965115070343,
0.4516439437866211,
-0.07365542650222778,
-0.3080238699913025,
1.1965010166168213,
-0.44466835260391235,
-0.2182280719280243,
0.4218975901603699,
-0.2918996512889862,
0.11603531986474991,
-0.5571604371070862,
... |
Given the task definition and input, reply with output. You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
Passage: Last week , my husband and I attended a football game . We purchased our tickets online a month ago . The day of the game , we got up early to get ready . We put the tickets in my purse , then we put the cooler in the car . We drove to the game . When we arrived at the stadium , we ate our snacks . We had a good time watching the game . We bought some pizza while we were there and ate it while watching the game . Our team won ! There was a lot of traffic , so it took us a while to get there . When we got home we were very tired and went to bed . Question: When will they eat? Option1: At the game Option2: after the football game
| At the game | 5 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.4905547499656677,
0.7980114221572876,
-0.6837487816810608,
0.4871346950531006,
-0.22022312879562378,
0.07082980871200562,
0.43431541323661804,
0.40419119596481323,
0.16891084611415863,
-0.5541373491287231,
-0.6570720672607422,
-0.202379509806633,
-0.28392520546913147,
-0.1139551550149917... |
Part 1. Definition
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.
Part 2. Example
[77, 999, 855, 10, 56, 121, 801]
Answer: [77, 999, 121]
Explanation: The integers 77, 999, and 121 are the only integers in the input list that start and end with the same digit.
Part 3. Exercise
[344, -878, 903, 554, 197, 176, -463, -628, 644, -210, -896, 615, -178, -967, 283, -372, -684, 690, 3, -876, 778, -777, -17]
Answer: | [-878, 3, -777] | 7 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.49521639943122864,
0.018854394555091858,
-0.197137713432312,
-0.38571029901504517,
-0.064671590924263,
0.3911881446838379,
1.0662221908569336,
0.020730124786496162,
-0.4955614507198334,
0.20011910796165466,
-0.7532578706741333,
-0.09719645231962204,
-0.28804436326026917,
-0.255843847990... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Context_1 : Hao Ge () is the Chinese stage name of Nigerian-born singer Uwechue Emmanuel. He rose to fame through a performance with Han Hong on the CCTV New Year's Gala and has emerged as one of the most notable foreign singers in China. Context_2 : Yemisi May Odegbami (born 7 May 1984), known professionally as May7ven 'Queen of Afrobeats', is a Nigerian-born singer, songwriter, dancer, producer, actress, model and entrepreneur. May7ven was born in Ibadan, Nigeria. She debuted in 2008 in the UK with single "Hands Up", which she co-wrote with songwriter and producer Aeon 'Step' Manahan. Context_3 : Helen Folasade Adu, CBE (Yoruba: "Fọláṣadé Adú" ] ; born 16 January 1959), known professionally as Sade Adu or simply Sade ( ), is a Nigerian-born British singer-songwriter, composer, arranger and record producer. With members Paul S. Denman, Andrew Hale and Stuart Matthewman, she gained worldwide fame as the lead vocalist of the English band Sade. Context_4 : Karen Lawrence is an American singer and songwriter who has worked with the L.A. Jets, 1994, Karen Lawrence and the Pinz and Blue by Nature. She sang backup vocals on "Get it up" from "Draw the Line" by Aerosmith and also sang on a Jeff Beck album. Context_5 : Reprudencia Sonkey, known by her stage name Dencia, is a Cameroonaian/Nigerian-born singer, entrepreneur, fashion designer, and philanthropist. Dencia got her start in the industry being featured in music videos by such artists as Chris Brown, 50 Cent, Lady Gaga, and Ludacris, and released her first single “Beri Beri” in 2011. Context_6 : Rachel Akosua Funmilola Garton (born 1991), professionally known as Lola Rae, is a Nigerian-born singer and dancer of Ghanaian and British descent. She gained recognition following the release of her debut single "Watch My Ting Go", which received critical acclaim and thus earned her a nomination for Most Promising Female Act to Watch at the 2013 Nigeria Entertainment Awards. Context_7 : Larry Edward Smith, (born 27 October 1945) is a Canadian musician, composer, recording artist, and computer programming expert. He studied Engineering Science at the University of Toronto where he graduated in 1968 with a Bachelor of Applied Science degree. In 1970 the 24-year-old Smith joined the Canadian rock band Lighthouse, a rock group that sold millions of records and earned three Juno Awards as one of Canada’s leading pop bands. Smith composed, arranged and sang Old Man from the One Fine Morning gold album, as well as composing and co-composing various other songs for the group. Starting out on valve trombone with Lighthouse, he later moved to trumpet, and then to keyboards when Paul Hoffert left the band. Smith also sang backup vocals on most of the recordings. Context_8 : Devyn June Puett (born November 22, 1977 in Gary, Indiana) is an American actress, singer, dancer, and real estate agent. She is best known for her role as Devyn on Kids Incorporated. Devyn is the little sister of former Life Goes On (TV series) star Tommy Puett. She made her acting debut in Kidsongs under the stage name Poochie Puett. After Devyn's acting career took off she and her family moved from Gary, Indiana, to Diamond Bar, California. After her time on "Kidsongs" ended she was cast as Devyn on "Kids Incorporated" from Season 5 through Season 6. As a singer, Puett was featured in the children's chorus on Martika's hit single "Toy Soldiers". In her early twenties she worked for many producers writing and recording. Devyn sang backup vocals on Tommy's only album "Life Goes On". She was in American Masters as Virginia Poe in 1995. "American Masters" was Devyn's final acting project. Context_9 : The discography of Sade, an English based band formed in London in 1982, consists of six studio albums, two compilation albums, two live albums, two EPs, 23 singles, five video albums, and 20 music videos. Following a brief stint of studying fashion design and modelling, Sade Adu began back up singing for a band named Pride, during this time she attracted attention from record labels and along with other members left Pride and formed Sade. Following a record deal Sade and her eponymous band released their debut album "Diamond Life" (1984), the album was a commercial success and sold over six million copies, becoming one of the top-selling debut recordings of the '80s and the best-selling debut ever by a British female vocalist. Context_10 : Peter Hughes is a multi-instrumentalist currently with the band the Mountain Goats. During live performances, he accompanies leader John Darnielle on bass. His first official recording with the band was 2002's "Tallahassee", and he has performed on every subsequent album up to 2017's "Goths", but he also sang backup vocals on the song "Cubs in Five" from the 1995 EP "Nine Black Poppies". That year, the Mountain Goats also dedicated an EP to him, "Songs for Peter Hughes". fact_1 : The discography of Sade, an English based band formed in London in 1982, consists of six studio albums, two compilation albums, two live albums, two EPs, 23 singles, five video albums, and 20 music videos. Following a brief stint of studying fashion design and modelling, Sade Adu began back up singing for a band named Pride, during this time she attracted attention from record labels and along with other members left Pride and formed Sade. fact_2 : Helen Folasade Adu, CBE (Yoruba: "Fọláṣadé Adú" ] ; born 16 January 1959), known professionally as Sade Adu or simply Sade ( ), is a Nigerian-born British singer-songwriter, composer, arranger and record producer. Answer: Sade | What Nigerianborn singer sang backup for a band named Pride? | 0 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.8386098146438599,
0.3045024871826172,
-0.8688991665840149,
-0.06021862477064133,
1.05006742477417,
0.07102302461862564,
0.774946391582489,
0.9074499607086182,
-0.19977962970733643,
0.867292046546936,
0.16692206263542175,
0.7078647613525391,
-1.0368175506591797,
0.28629541397094727,
0.0... |
Part 1. Definition
This task is about translating a given Yoruba language sentence to English.
Part 2. Example
Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò.
Answer: Today CC licenses are prevalent across the web and are used by creators around the world for every type of content you can imagine.
Explanation: This is a good example because the Yoruba sentence has been translated correctly into English.
Part 3. Exercise
A kò gbọdọ̀ lo àwọn ẹ̀tọ́ àti òmìnira wọ̀nyí rárá, ní ọ̀nà yòówù kó jẹ́, tó bá lòdì sí àwọn ète àti ìgbékalẹ̀ Ajọ‐àpapọ̀ orílẹ̀‐èdè agbáyé.
Answer: | These rights and freedoms may in no case be exercised contrary to the purposes and principles of the United Nations. | 7 | NIv2 | task1686_menyo20k_translation | fs_opt | [
-0.1858668178319931,
0.6214570999145508,
-0.45908933877944946,
0.4217826724052429,
0.013353525660932064,
-0.21313123404979706,
0.01183347962796688,
0.6056950688362122,
0.12338551133871078,
-0.7667797207832336,
-0.12414181232452393,
-0.054130349308252335,
-0.7283501625061035,
-0.23650188744... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
See one example below:
Problem: 人の脳の何がそんなに特別なのでしょうか ？
Solution: מה מייחד את המוח האנושי?
Explanation: The Japanese sentence is correctly translated into Hebrew, because they both refer to the human brain.
Problem: 衝突が起きたとき後部座席の子供が無事で済むとは信じがたいです
Solution: | , קשה להאמין בכך כשמסתכלים .שהילד מאחור למעשה בסדר גמור במקרה של תאונה | 4 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.6205356121063232,
-0.1274714320898056,
-0.00809404719620943,
-0.2635970115661621,
-0.5316746830940247,
-0.037466008216142654,
0.7851347327232361,
-0.260825514793396,
1.0846480131149292,
-0.814120888710022,
-0.7600423693656921,
0.5181043744087219,
-0.8760261535644531,
0.7575893402099609,... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the article expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link].
Ex Input:
What is the sentiment of the following document towards the entity Elizabeth Pavlova ? "It's important for Russia and China to cultivate a community that respects and understands the cultures of both countries " Pavlova said.
Pavlova was satisfied with the bulletin boards on which students wrote their feelings about learning Chinese. Chinese motifs such as bamboos were drawn beside texts.
The students not only learned the Chinese language but also Chinese politics economics and cultures as well Pavlova said.
The upcoming Year of Chinese Language in Russia would extend the fruits of the reciprocal national theme years (last year was Year of the Russian Language in China) and would strengthen cultural and educational cooperation between the two countries and thus create favorable circumstances for Russia's young people to learn Chinese language and culture Pavlova said.
"Both the teachers and students are eager to take part in the colorful events to be held within the framework of the Year of Chinese Language " she said.
The school planned to launch a festival of Chinese language and culture in April as part of its contribution to the language year Pavlova said. Students from 15 schools in Moscow would be invited to the occasion.
The students were vigorously preparing for the Chinese language contest for elementary and high school students in Moscow as well as the all-Russian Chinese writing contest while the teachers were scheduled to attend a seminar on Chinese language teaching at Moscow State University she said.
Pavlova said she was looking forward to taking her students to various activities including exhibitions on Chinese language universities movies and literature and a performance of the Beijing People's Art Theater a famed Chinese drama troupe.
Pavlova hoped the Year of Chinese Language increased cooperation between schools from both countries stressing her school and other Russian schools running Chinese courses were keen to establish rapport with Chinese schools especially those featuring Russian language teaching.
Ex Output:
Positive
Ex Input:
What is the sentiment of the following document towards the entity Michael W. Young ? Three Americans â Jeffrey C. Hall Michael Rosbash and Michael W. Young â have won the 2017 Nobel Prize in physiology or medicine for their work on molecular mechanisms that control circadian systems.
Hall was born in New York Rosbash in Kansas City and they both worked at Brandeis University. Michael Young was born in Miami and worked at Rockefeller University.
Jonathan Nackstrand / AFP/Getty Images Winners of the 2017 Nobel Prize in Physiology or Medicine Jeffrey C. Hall Michael Rosbash and Michael W. Young are pictured on a display during a press conference at the Karolinska Institute in Stockholm on Oct. 2 2017. Winners of the 2017 Nobel Prize in Physiology or Medicine Jeffrey C. Hall Michael Rosbash and Michael W. Young are pictured on a display during a press conference at the Karolinska Institute in Stockholm on Oct. 2 2017. (Jonathan Nackstrand / AFP/Getty Images) (Jonathan Nackstrand / AFP/Getty Images)
The trio's early work took place in 1984 when Hall and Rosbash worked together at Brandeis and Young at Rockefeller University to isolate the "period" gene which controls the circadian rhythm of fruit flies. Hall and Rosbash then showed that the level of the protein encoded by this gene changes in a 24-hour cycle going up during the day and down at night. They theorized that this protein blocked the activity of the period gene.
Ex Output:
Positive
Ex Input:
What is the sentiment of the following document towards the entity Keith Schiller ? Then-director of Oval Office Operations Keith Schiller stands in the Red Room before President Trump speaks at an event at the White House in July. (Jabin Botsford/The Washington Post)
Keith Schiller told the House Intelligence Committee on Tuesday that he rejected the offer from the man who appeared to be Russian or Ukranian according to two people familiar with the discussion. He quickly dismissed what appeared to be a suggestion of procuring prostitutes for Trump they said.
âNo man weâre not interested in that â Schiller told the man the people said.
The offer came at the end of a late-morning planning meeting that Schiller attended when he accompanied Trump to Moscow for the annual Miss Universe pageant which was produced by a company that Trump owned.
Schiller Trumpâs longtime bodyguard who frequently accompanied him on trips told congressional investigators that he saw no compromising illicit or illegal behavior by Trump while in Moscow according to the people.
The offer to send women to Trumpâs room came after Schiller said he attended a meeting in Moscow with about 15 people to discuss details of the pageant. Among those in attendance were Russian pop star Emin Agalarov and his father Aras Agalarov a business magnate with close ties to the government of President Vladimir Putin according to the people familiar with his interview.
As the meeting broke up Schiller said a man he did not know approached him and asked if he would like five women to visit Trump at his hotel room later that night he told investigators.
Schiller told the committee that he joked about the offer with Trump later that evening as they headed back to their hotel the people said.
âCan you believe one of these guys wanted to send some women up to your room?â Schiller recalled saying.
An attorney for the Agalarovs said they had no knowledge of the offer to Schiller .
âCategorically neither one of them has any knowledge of that happening â said Scott Balber a lawyer for Emin and Aras Agalarov. âThey didnât do it they didnât hear it and they have no reason to believe it âs true.â
A White House attorney did not immediately respond to a request for comment. An attorney for Schiller declined to comment on the details of his interview.
NBC News first reported that the House Intelligence Committee asked Schiller for details about the episode.
Schiller âs long and close relationship with Trump makes him a potentially valuable witness to investigators examining Russiaâs meddling in the 2016 election. The former director of security at the Trump Organization joined Trump at the White House serving as director of Oval Office Operations until September.
In his House interview Schiller said he traveled as many as five and six days a week with Trump when the businessman ran the Trump Organization adding that he could not remember the precise details of all their trips.
Schiller told investigators that he and Trump stayed at a luxury hotel during their 2013 Moscow trip although he said he could not recall its name. He said he was not certain if he stayed on the same floor as Trump although he acknowledged that they usually had adjoining rooms.
Ex Output:
| Positive
| 1 | NIv2 | task420_persent_document_sentiment_classification | fs_opt | [
-0.47499534487724304,
0.21329748630523682,
-0.2887774407863617,
0.09661968797445297,
0.8146480321884155,
0.297710657119751,
0.6791332960128784,
1.0387051105499268,
-0.1933136284351349,
0.2816137373447418,
0.11479634046554565,
0.681418776512146,
-0.002118225209414959,
0.3649168312549591,
... |
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
Example: La LGV est très rare en Europe.
Example solution: LGV is very rare in Europe.
Example explanation: The translation is correct
Problem: Motivation
| Solution: Driven | 5 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | fs_opt | [
-0.8620021343231201,
0.522394061088562,
0.41430094838142395,
-0.6046170592308044,
-0.07824090868234634,
-0.2448638379573822,
0.4417465329170227,
-0.21951888501644135,
0.1009901836514473,
-0.3331039547920227,
-0.37180274724960327,
0.13059166073799133,
-0.8009702563285828,
0.5044107437133789... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Example: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
Output: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
The Portugese sentence is correctly translated into Italian, because the meaning is preserved.
New input case for you: Isto foi em 2007.
Output: | e questo era il 2007. | 1 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.6091063022613525,
1.299147129058838,
-0.07290045917034149,
-0.04878697171807289,
0.23734310269355774,
-0.49855321645736694,
-0.8261345028877258,
1.7022552490234375,
-0.20580343902111053,
-0.08106672763824463,
-0.4304649233818054,
0.45478174090385437,
0.04792526364326477,
-0.197340920567... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
Who provided the voice of the geico insurance company gecko and it's tv and debut? | Who provided the voice of the geico insurance company gecko in its TV debut?
Kelsey Grammer | 0 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-0.30561262369155884,
0.5721967220306396,
0.4364256262779236,
-0.7603320479393005,
0.3773617148399353,
-0.29236701130867004,
0.8536535501480103,
0.04607164114713669,
-0.14404712617397308,
-0.4811708629131317,
-0.40264615416526794,
-0.4923385977745056,
-1.1914196014404297,
-0.37818336486816... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse 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 -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
--------
Question: Sentence: Gerard Scannell , the head of OSHA , said 0 USX managers have known about many of the safety and health deficiencies at the plants for years , `` yet {{ have }} failed *-1 to take necessary action * to counteract the hazards . ''
Word: have
Answer: VERB
Question: Sentence: `` At the prices 0 we were charged *-78 *T*-1 , there should have been some return for {{ the }} dollar .
Word: the
Answer: DET
Question: Sentence: There are no signs , however , {{ of }} China 's yielding on key issues .
Word: of
Answer: | ADP
| 7 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.4974750876426697,
0.1553182452917099,
-0.06555361300706863,
0.02103497087955475,
-0.029689978808164597,
-0.5574605464935303,
0.6575901508331299,
0.6748952865600586,
-0.330973744392395,
-0.06298792362213135,
-0.6287878751754761,
0.2272888422012329,
-0.5002930760383606,
0.38390231132507324... |
Definition: 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 adapts ___ to conditions<sep>Tail: Teacher
Output: | No | 2 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.11605942994356155,
0.13924309611320496,
0.266510933637619,
-0.43400949239730835,
-0.46268731355667114,
-0.7020531296730042,
1.250386118888855,
0.06440809369087219,
-0.36530154943466187,
-0.7448338866233826,
-0.4189469814300537,
-0.426932692527771,
-0.6596212387084961,
0.36677175760269165... |
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Question: The terpene that contains 10 carbon atoms and is derived from two isoprene units is called:
Options: <0> Diterpene <1> Monoterpene <2> Sesquiterpene <3> Triterpene <4> Meroterpeno.
chemistry
Question: The SO2 molecule is:
Options: <0> Linear, with the S atom in the center. <1> Linear, with one of the atoms of O in the center. <2> Angular, with the S atom in the center and with an angle close to 120º (equilateral triangle) and a free pair of electrons. <3> Angular, with one of the atoms of O in the center and with an angle of approximately 120º (equilateral triangle) and a pair of free electrons. <4> Angular, with the S atom in the center and with an angle close to 109º (tetrahedron) and two pairs of free electrons.
chemistry
Question: Which of the following pharmacokinetic characteristics of rosiglitazone is NOT correct ?:
Options: <0> It has a bioavailability of 99% <1> The inactive metabolites are eliminated by urine after conjugation or in the form of sulfates. <2> It should not be prescribed in patients with liver disease. <3> It is necessary to readjust your dosage in the presence of kidney disease. <4> It should not be prescribed to the nursing mother.
| pharmacology
| 0 | NIv2 | task1434_head_qa_classification | fs_opt | [
0.42103487253189087,
0.5824865102767944,
-0.46321260929107666,
0.0652916207909584,
-0.0027439449913799763,
-0.6737284064292908,
0.6761094331741333,
0.8706161975860596,
-0.02738441713154316,
-0.17054244875907898,
-0.8201019167900085,
0.43529096245765686,
-0.15256956219673157,
-0.01544379256... |
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an understanding of the relationship described in the background paragraph and the story. You need to come up with an answer to the given question; the answer will be a span from either the question or the story. In order to correctly answer the given question, you need to understand the relationship mentioned in the background paragraph and should be able to use it to understand that in the story. Your answer can not consist of any word that is not mentioned in any of these: the background paragraph, the story, or the question. You can directly copy and paste a span from the story or the question while answering the given question.
[EX Q]: Background Paragraph: According to current definitions, all planets must revolve around stars; thus, any potential "rogue planets" are excluded. In the Solar System, all the planets orbit the Sun in the same direction as the Sun rotates (counter-clockwise as seen from above the Sun's north pole). At least one extrasolar planet, WASP-17b, has been found to orbit in the opposite direction to its star's rotation. The period of one revolution of a planet's orbit is known as its sidereal period or year. A planet's year depends on its distance from its star; the farther a planet is from its star, not only the longer the distance it must travel, but also the slower its speed, because it is less affected by its star's gravity. No planet's orbit is perfectly circular, and hence the distance of each varies over the course of its year. The closest approach to its star is called its periastron (perihelion in the Solar System), whereas its farthest separation from the star is called its apastron (aphelion). As a planet approaches periastron, its speed increases as it trades gravitational potential energy for kinetic energy, just as a falling object on Earth accelerates as it falls; as the planet reaches apastron, its speed decreases, just as an object thrown upwards on Earth slows down as it reaches the apex of its trajectory.Each planet's orbit is delineated by a set of elements:.
Story: Planet Neptune is not only very cold but also farther from the Sun than the Earth. In fact, it is the farthest planet from the Sun in our solar system. On the other hand, the Earth enjoys a close proximity to the Sun. Only Mercury and Venus are closer to the Sun than the Earth.
Question: Which planet would travel longer distance, Neptune or Earth?
[EX A]: Neptune.
[EX Q]: Background Paragraph: The particles of soup have greater average kinetic energy than the particles of water in the tub, explaining why the soup has a higher temperature. However, the mass of the water in the tub is much greater than the mass of the soup in the pot. This means that there are many more particles of water than soup. All those moving particles give the water in the tub greater total kinetic energy, even though their average kinetic energy is less. Therefore, the water in the tub has greater thermal energy than the soup. To compare the thermal energy of some other materials, go to the following URL and click on the interactive animation “Temperature and Thermal Energy.”.
Story: Alexander is conducting reactions in his college chemistry class. In his first reaction, reaction A, he uses a large amount of reactants. In his second reaction, reaction B, he uses a much smaller amount of reactants compared to reaction A. As the reactions are proceeding, he measures that reactants in reaction A have low average kinetic energy. At the same time, reactants in reaction B have high average kinetic energy.
Question: Reactants in which reaction have smaller total thermal energy?
[EX A]: reaction B.
[EX Q]: Background Paragraph: Air pollution can also indirectly cause other health issues and even deaths. Air pollutants can cause an increase in cancer including lung cancer, eye problems, and other conditions. For example, using certain chemicals on farms, such as the insecticide DDT (dichlorodiphenyltrichloroethane) and toxic PCBs (polychlorinated biphenyl), can cause cancer. Indoors, pollutants such as radon or asbestos can also increase your cancer risk. Lastly, air pollution can lead to heart disease, including heart attack and stroke.
Story: Michael recently moved to Xin Jiang, where there is a large amount of air pollutants due to the chemical manufacturing industry there. Kevin, on the other hand, recently moved to Toronto which just finished a several month long tree planting initiative that has drastically lowered the amount of air pollutants in the city.
Question: Who is less at risk for having a stroke?
[EX A]: | Kevin.
| 6 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.7992225885391235,
0.5618088841438293,
-0.5081852674484253,
-0.04158104956150055,
0.11024793982505798,
-0.9550151824951172,
0.2901412844657898,
0.5308996438980103,
-0.015866201370954514,
0.36103206872940063,
-0.3501209616661072,
0.2189558744430542,
-0.4996494650840759,
0.14749693870544434... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: La giornata era bellissima.
Student: | Był piękny dzień. | 6 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.636545717716217,
0.7271779775619507,
0.1704057902097702,
-0.07849526405334473,
-0.6665930151939392,
-0.9732716679573059,
0.20811524987220764,
-0.26836609840393066,
-0.056121692061424255,
-0.10523578524589539,
-0.21616199612617493,
-0.18949736654758453,
-0.08285930752754211,
-0.238947778... |
Teacher:In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Teacher: Now, understand the problem? Solve this instance: ['81', 'Y', '4073', '9065', '6611', '899', 'Y', 'C', '8845', 'U', 'W', '419', '2493']
Student: | 8 | 6 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.599327564239502,
0.42160969972610474,
-0.07855432480573654,
-0.6834762096405029,
-0.05159512907266617,
-0.6085371375083923,
0.2157207429409027,
0.201526939868927,
-0.22794891893863678,
0.6887962818145752,
0.05712398141622543,
0.1333056092262268,
0.3169591426849365,
-0.2610462009906769,
... |
Q: 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.
The out side people will take the matter with suitable system is called michenarysm this may happend to do the work.
A: | English | 7 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.23074063658714294,
0.3227846920490265,
0.3740401864051819,
0.11533384770154953,
-0.06788377463817596,
-0.24467051029205322,
-0.31351035833358765,
0.4829521179199219,
-0.0085016880184412,
-0.6856315732002258,
-0.3508458137512207,
-0.5702325105667114,
-0.16154074668884277,
-0.006111497059... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the blank with a question, it should have an answer from the agent in the given dialogue. Fill the gap marked with underline.
Q: customer: Hello.
agent: Hello, how may I aid you today from my end?
customer: I am Jason Martinez. Can you please help me in changing my recent reservation?
agent: Sure, I am here to help you out. Please allow me a moment.
__
agent: Sorry Jason Martinez, there is no reservation on your name in our database.
customer: That's ok. Anyways, thank you for your help.
agent: Thank you for reaching us.
A: | customer: Ok, sure. | 4 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.1685318499803543,
0.45222851634025574,
-0.20616620779037476,
-0.6915019750595093,
0.3153887093067169,
-0.24246618151664734,
1.4861547946929932,
-0.21928896009922028,
-0.14549286663532257,
0.09232893586158752,
0.144587904214859,
-0.40305477380752563,
-0.9609134197235107,
0.63767743110656... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning types are illustrated in the 'positive examples' field) and also have a variety of answer types (spans, numbers, dates). A span is a continuous phrase taken directly from the passage or question. In such questions, the answer spans are recommended to be five words. Questions with answer type "number", are expected to start with "How many". For instance, "How long did an event last?" can be phrased as "How many years did an event last?". To increase diversity, try to create more questions for which the answer will be multiple spans. Please create questions that require AT LEAST 2 arithmetic operations as illustrated in the 'positive examples' field. You are encouraged to try DIFFERENT COMBINATIONS of operations and not just limit to the combinations shown in those examples. The more challenging questions you create, the better it is.
Ex Input:
Passage: After their ouster from the coastal ports of China, Japanese and Portuguese traders collaborated with illegal smugglers on island ports along the Zhejiang and Fujian coast. Among these ports, Shuangyu on Liuheng Island off the coast of Ningbo emerged as the primary emporium of clandestine trade. At first, Shuangyu only had temporary mat-sheds for the smugglers to house themselves and their goods during the trading season. In 1539, Fujianese traders started to guide foreign traders from Patani and Malacca to barter in Shuangyu and started to occupy the island. They were soon joined by the Fujianese merchants Jinzi Lao and Li Guangtou , who led the Portuguese and assorted adventurers to Shuangyu. Attracted by the growing trade on the Zhejiang coast, the Xu brothers' syndicate moved their base of operations from the Malay Peninsula to Shuangyu. The existing clout of the Xu syndicate and its close partnership with the Portuguese made it the foremost smuggling bloc by 1542 after a series of mergers among the merchant-pirates in Shuangyu. The Ming navy began to clamp down on smuggling activities in 1543, but the Xu syndicate was able to repulse the Ming attacks in Shuangyu with the aid of Portuguese firepower. Hardened by their victories against the Ming navy, the smugglers expanded their network of activities down the coast of China all the way to Guangdong and inland to the metropolis of Nanjing, with Shuangyu being their hub. In 1544, this network was further expanded when Wang Zhi joined the Xu syndicate, bringing along his Japanese connections to Shuangyu. Thus Shuangyu reached its zenith as the biggest entrepôt in maritime East Asia trading goods from Europe and Asia until its downfall in 1548.
Ex Output:
After the Ming navy began trying to stop smuggling in 1543, how many years passed before the Xu syndicate downfall?
Ex Input:
Passage: The Ravens were facing the Tampa Bay Buccaneers, a team with an identical 7-3 record. However, the Ravens were considered favorites going into the game, given that they had never lost at home during the season, and all Tampa Bay wins were against teams with losing records. Still, they did not take this one lightly. After a scoreless first quarter, the Ravens scored first with a field goal. Tampa Bay later tied it, but Baltimore scored two touchdowns, including one on a 65-yard pass from Todd Heap, to have a 17-3 halftime lead. During a scoreless third quarter, a would be long TD-run from Ray Rice was negated by a controversial call of a penalty on Anquan Boldin. Though the Ravens would never score anymore in the game, they managed to hold off Tampa Bay and allow just one touchdown, enough to prevent their lead from being blown.
Ex Output:
How long was Todd Heaps touchdown?
Ex Input:
Passage: In 1783, the Cataraqui region was selected by the British as a location to settle United Empire Loyalists who had fled the United States after the American War of Independence. The centre of the region, a community focused on the old fort, would eventually become the city of Kingston. General Sir Frederick Haldimand, Governor of the Province of Quebec, ordered Major John Ross, commander at Oswego, to repair and rebuild the fort to accommodate a military garrison. This was done by a force of 422 men and 25 officers. By October 1783, a lime kiln, hospital, barracks, officers' quarters, storehouses, and a bakehouse were completed. In 1787, the rebuilt fort became known as Tête-de-Pont Barracks. During the War of 1812, the fort was the focus of military activity in Kingston, having housed many military troops. Many of the present barrack buildings were built between 1821 and 1824.
Ex Output:
| HGow many people rebuilt the fort?
| 1 | NIv2 | task026_drop_question_generation | fs_opt | [
0.4730348587036133,
-0.09088636189699173,
-0.6377140879631042,
-0.1572650671005249,
0.7560709714889526,
0.33573076128959656,
0.18629056215286255,
0.7882483005523682,
0.142074853181839,
0.1888689547777176,
-0.09464657306671143,
0.4477839469909668,
-0.8951318860054016,
0.3262633681297302,
... |
Q: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
bmalcAiwD, nCnlcAXK
A: | lcA | 7 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
0.10868437588214874,
1.3909051418304443,
0.33636945486068726,
-0.6116453409194946,
-0.28871893882751465,
-0.2684105634689331,
0.40499335527420044,
-0.6763858795166016,
0.16764944791793823,
0.19633254408836365,
-0.34536296129226685,
-0.7650390863418579,
-0.7369869351387024,
0.29255288839340... |
In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
grosse ile township is a civil township of wayne county in the u.s. state of michigan.
grosse ile township is a society-related township of wayne county in the u.s. state of michig.
they are culturally akin to the coastal peoples of papua new guinea.
their culture is like that of the costal peoples of papua , new guinea.
in august 2003 , the san diego union tribune alleged that u.s. marine pilots and their commanders confirmed the use of mark 77 firebombs on iraqi republican guards during the initial stages of combat.
| in august 2003 , the san diego union tribune said that u.s. marine pilots and their bosses said they used mark 77 firebombs on iraqi republican guards at the beginning of combat.
| 0 | NIv2 | task934_turk_simplification | fs_opt | [
-0.5211904048919678,
0.7751979231834412,
-0.06460986286401749,
-0.6186538934707642,
0.3364598751068115,
-0.3273925483226776,
0.6293014287948608,
0.4659295082092285,
-0.5642171502113342,
-0.29477283358573914,
0.1372295618057251,
-0.43273288011550903,
-0.7944546937942505,
-0.4918729662895202... |
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 is capable of the Tail or not. Being capable of something includes general capabilities, such as a human is capable of thinking and reasoning or drinking coffee. It also includes specialized capabilities such as a surgeon is capable of operating on a patient. 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.
--------
Question: Head: PersonX acts as PersonY intermediary<sep>Tail: to make both parties happy
Answer: No
Question: Head: hacker<sep>Tail: gather information about computer
Answer: Yes
Question: Head: clerk<sep>Tail: ask to help
Answer: | Yes
| 7 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.4106563627719879,
0.25099727511405945,
0.31647151708602905,
-0.03859463334083557,
-0.2653732895851135,
-0.7525821924209595,
1.1582777500152588,
0.2877417206764221,
0.21778753399848938,
-0.318322092294693,
-0.5890945792198181,
-0.2329270988702774,
-0.6480169892311096,
0.2194441854953766,
... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
See one example below:
Problem: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.
Solution: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Explanation: The Galician sentence is correctly translated into Hebrew, because the meaning is preserved.
Problem: Puido estudar inglés e aprendelo como lingua estranxeira.
Solution: | היא הצליחה ללמוד אנגלית ולמדה את זה כשפה זרה. | 4 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.8143618702888489,
0.6781320571899414,
0.48609134554862976,
-0.6290244460105896,
-0.16868916153907776,
-0.25774866342544556,
0.814860999584198,
0.17622673511505127,
-0.8364189863204956,
-0.4955481290817261,
-0.07487834990024567,
-0.1254054307937622,
-0.9830230474472046,
-0.05877536907792... |
Given the task definition and input, reply with output. You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "acceptable", otherwise "unacceptable".
The teacher handed the student.
| unacceptable | 5 | NIv2 | task616_cola_classification | zs_opt | [
-0.7182438969612122,
0.6941424012184143,
0.8046239614486694,
-0.526116132736206,
-0.04345297813415527,
-0.6010653972625732,
0.3890599012374878,
0.2602331042289734,
0.3721218705177307,
-0.07875125110149384,
-0.875759482383728,
0.021030355244874954,
-0.15401342511177063,
-0.21608395874500275... |
Definition: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Input: Hypothesis: It's wrong to kick people out of the house.
Update: The people are damaging your property.
Output: | weakener | 2 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
0.07891475409269333,
0.27441325783729553,
-0.09443019330501556,
0.4057613015174866,
0.34161263704299927,
-1.3932369947433472,
0.5715689063072205,
1.1085472106933594,
0.2213907539844513,
-0.08589492738246918,
-1.5506932735443115,
-0.03566422313451767,
-0.5776838064193726,
-0.382306277751922... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and report that option.
One example: From a pack of 52 cards, two cards are drawn together at random. What is the probability of both the cards being kings?
Option A:2/1223
Option B: 1/122
Option C: 1/221
Option D: 3/1253
Option E: 2/153
Solution is here: Option C
Explanation: Let s be the sample space.
Then n(s) = 52C2 = 1326
E = event of getting 2 kings out of 4
n(E) = 4C2 = 6
P(E) = 6/1326 = 1/221
Now, solve this: Question: P and Q started a business investing Rs. 85,000 and Rs. 30,000 respectively. In what ratio the profit earned after 2 years be divided between P and Q respectively?
Option A: 17:6
Option B: 17:0
Option C: 17:4
Option D: 17:2
Option E: 17:3
Solution: | Option A | 6 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.021642498672008514,
0.6699986457824707,
-0.419538676738739,
-0.28982847929000854,
0.09256520867347717,
0.2727338671684265,
0.4676412343978882,
1.0293312072753906,
0.1420729160308838,
0.08591660857200623,
-0.22738292813301086,
0.23866772651672363,
-0.22247707843780518,
-0.8631970286369324... |
Q: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
1, 1, ['B', 'a', 'l', '8637', '3971', '4899', 'o', '6705', 'f']
A: | B, a, l, 8637, 3971, 4899, o, 6705, f | 7 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
-0.08147373795509338,
0.0945851132273674,
-0.8151744604110718,
-0.8827866315841675,
-0.6329373121261597,
0.37684333324432373,
0.41676217317581177,
-0.5586065649986267,
-0.23953938484191895,
-0.26985418796539307,
-0.5488142371177673,
-0.3539442718029022,
0.22944320738315582,
0.4176103174686... |
Given the task definition and input, reply with output. In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: the ratio between the length and the breadth of a rectangular park is 3 : 2 . if a man cycling along theboundary of the park at the speed of 12 km / hr completes one round in 8 min , then the area of the park ( in sq . m ) is ?
Options: a ) 143530 m , b ) 145600 m , c ) 153600 m , d ) 134500 m , e ) 155600 m
| c | 5 | NIv2 | task1422_mathqa_physics | zs_opt | [
-0.5121203660964966,
0.8588283061981201,
-0.4978889226913452,
-0.37294653058052063,
-0.9586981534957886,
0.19764715433120728,
0.1890135556459427,
0.06021438539028168,
0.12707333266735077,
-0.5873607993125916,
-1.3094180822372437,
0.6397370100021362,
-0.19621609151363373,
-0.001596657326444... |
Instructions: 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 uv-part strategy, otherwise output No. uv-part is a selfish negotiation strategy. It is used to undermine the requirements of the opponent. For instance, suggesting that the opponent would not need more firewood since they already have the basic supplies or a suggestion that there might be a store near the campsite where the opponent can get the supplies instead.
Input: Context: 'That is fair. Could I also have 1 food so I do not starve' 'what about your basic food rations?' 'I am severely malnourished and could use just one more food please'
Utterance: 'we got kids on this trip, they need food too. also, your basic supplies should keep you fed well enough to not starve/be malnourished'
Output: | Yes | 3 | NIv2 | task358_casino_classification_negotiation_uv_part | zs_opt | [
-0.0723467543721199,
0.6406805515289307,
-0.3214818835258484,
-0.37791913747787476,
-0.6795945167541504,
-1.0499141216278076,
1.4078773260116577,
0.4102417826652527,
-0.33748647570610046,
-0.037067919969558716,
0.07601091265678406,
0.028914961963891983,
-1.0352518558502197,
0.0199918746948... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the number of the missing sentence in the new story.
Example: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: He is happy now.
Output: 4, The incident caused him to turn a new leaf.
As mentioned in fourth sentence, he is happy now; so, the incident turned a new leaf to Rick's life.
New input case for you: Sentence1: Shari was worried. Sentence2: Her wedding was tomorrow, and it was an outdoor ceremony. Sentence3: But rain was forecast! Sentence4: The festivities went on without a hitch.
Output: | 4, Thankfully, the wedding day dawned clear and sunny after all. | 1 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
-0.16849523782730103,
0.765617847442627,
-0.4425642490386963,
0.1320178508758545,
0.6722890734672546,
-0.13394136726856232,
0.2877682149410248,
0.8769353628158569,
-0.5392326712608337,
0.08598674833774567,
-0.6237266063690186,
-0.23304344713687897,
-0.2132834792137146,
0.10576434433460236,... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
One example: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Solution is here: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
Explanation: English sentence is properly converted into Hindi sentence because the input also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers.
Now, solve this: The cultural history of India , as of other countries , can be divided into three periods : the ancient , the medieval and the modern .
Solution: | अन्य देशों की भांति भारत के सांस्कृतिक इतिहास को तीन भागों में विभाजित किया जा सकता हैप्राचीन , मध्कालीन तथा वर्तमान । | 6 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.5204336643218994,
0.09215758740901947,
0.25822412967681885,
0.36823582649230957,
0.4237324297428131,
0.1171976774930954,
-0.27342653274536133,
0.6067860722541809,
-0.6435431241989136,
-0.22376778721809387,
-0.6673276424407959,
-0.3110426068305969,
-0.21771898865699768,
-0.268755733966827... |
Part 1. Definition
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.
Part 2. Example
bYubMFxyTqR, AcDbMFxSnI
Answer: bYubfmxyTqR, AcDbfmxSnI
Explanation: Here, 'bMFx' is the longest common substring in both the input strings 'bYubMFxyTqR' and 'AcDbMFxSnI'. Sorting it and converting to lowercase gives 'bfmx'. Replacing 'bfmx' instead of 'bMFx' in the two strings gives 'bYubfmxyTqR' and 'AcDbfmxSnI'
Part 3. Exercise
aDaBjNPfaRkWp, xLcTjBjNPfaiHSNtw
Answer: | aDaabfjnpRkWp, xLcTjabfjnpiHSNtw | 7 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.2209753841161728,
0.4676559567451477,
-0.4392102062702179,
-0.5744118094444275,
0.24887555837631226,
-0.033416055142879486,
0.7802695035934448,
0.10919007658958435,
0.3650892972946167,
0.24903079867362976,
-0.9106507301330566,
-0.18149618804454803,
-0.46876537799835205,
0.216068193316459... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT | turn around right thrice after run right twice | 0 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.3745625913143158,
0.7346216440200806,
-0.41515785455703735,
0.13036903738975525,
-0.20495742559432983,
0.17622792720794678,
0.07139670848846436,
0.5894705653190613,
-0.15377280116081238,
-0.08536383509635925,
-0.7183027267456055,
-0.5049313306808472,
-0.6551336050033569,
-0.0492810755968... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
[Q]: ['1634: The Bavarian Crisis, which was written by Eric Flint, has 448 pages and was put into print with the ISBN number 978-1-4165-4253-7.', 'The ISBN number of 1634: The Bavarian Crisis is 978-1-4165-4253-7. It was written by Eric Flint, has 448 pages and is available in print form.']
[A]: SIMILAR
[Q]: ['Austin Fernando is the leader of the Eastern Province of Sri Lanka.', 'The leader of the Austin Fernando is Eastern Province, Sri Lanka.']
[A]: DISSIMILAR
[Q]: ['The Eagle has Chinese food', '673 000 passengers fly from George Bush Intercontinental Airport to Chicago on American, Spirit, and United.']
[A]: | DISSIMILAR
| 5 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.5986322164535522,
-0.13054101169109344,
0.1557367444038391,
-0.5012382864952087,
-0.25510451197624207,
-0.027965568006038666,
1.3648443222045898,
0.550128698348999,
0.22485525906085968,
0.1470108926296234,
-0.778170108795166,
0.2041703760623932,
-0.5331981182098389,
0.03754548728466034,... |
Teacher: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 is capable of the Tail or not. Being capable of something includes general capabilities, such as a human is capable of thinking and reasoning or drinking coffee. It also includes specialized capabilities such as a surgeon is capable of operating on a patient. 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.
Teacher: Now, understand the problem? Solve this instance: Head: PersonX achieves PersonX's goals<sep>Tail: to accomplish
Student: | No | 6 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
0.41997629404067993,
0.5166115760803223,
0.4998841881752014,
-0.4673565626144409,
-0.37269294261932373,
-0.7118902206420898,
1.02561354637146,
0.28314563632011414,
-0.07119220495223999,
-0.6021983623504639,
-0.3570723533630371,
-0.3091748356819153,
-0.472316175699234,
0.19547340273857117,
... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Ex Input:
['W', 'I', 'i', 'd', 'j', 'H', 'v', '3521', 'h', '8651', '8677', 'm', 'O', 'c', '807']
Ex Output:
1, 2, 3, 4, 5, 6, 7, 9, 12, 13, 14
Ex Input:
['d', '5111', 'z', 'j', 's', '4451', 'J', '4105', '6431', 'i', '6037', '1783', 'B', '6687', 'C', '1357', 'U', '3583', 'G', '7639', '3749', 'e', 'P', '7679', 'H', '8177', 'W', 'E', 'j', 'q', 'X', 'g', 'r', 'T', 'd', 'i', 't', 'n', 'j', '7723']
Ex Output:
1, 3, 4, 5, 7, 10, 13, 15, 17, 19, 22, 23, 25, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39
Ex Input:
['4597', '9653', '113', '3819']
Ex Output:
| -1
| 1 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
-0.023205284029245377,
0.1297358274459839,
-0.3642306625843048,
-0.6787632703781128,
0.038909196853637695,
-0.04563251882791519,
0.9132546782493591,
0.5295685529708862,
-0.6612062454223633,
0.35664284229278564,
-0.8760471343994141,
-0.5173976421356201,
-0.10692030191421509,
-0.272231101989... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Let me give you an example: Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ?
Options: a ) 25 m , b ) 45 m , c ) 32 m , d ) 75 m , e ) 62 m
The answer to this example can be: d
Here is why: New speed = 5 / 6 th of usual speed new time = 6 / 5 th of usual time 6 / 5 ut - ut = 15 m ut / 5 = 15 m ut = 75 m answer is d
OK. solve this:
Problem: the speed of the boat in still water in 12 kmph . it can travel downstream through 45 kms in 3 hrs . in what time would it cover the same distance upstream ?
Options: a ) 8 hours , b ) 6 hours , c ) 4 hours , d ) 5 hours , e ) 6 hours
Answer: | d | 8 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.972488522529602,
-0.21773192286491394,
-0.6012862920761108,
-0.02822626382112503,
-0.4950009286403656,
-0.35231125354766846,
0.027326028794050217,
0.5076767206192017,
-0.3076951205730438,
0.053662072867155075,
-0.5442606210708618,
-0.20685558021068573,
-0.04876193404197693,
-0.0468878522... |
Instructions: In this task, given a sentence in the English language, your task is to convert it into the Bengali language.
Input: The body of Joana Dudushi was found near her apartment where she lived with her several-month-old baby.
Output: | জোয়ানা ডুডুশি-র অ্যাপার্টমেন্টের কাছ থেকে তাঁর মৃতদেহ পাওয়া গেছে, যেখানে তিনি তাঁর কয়েক মাসের বাচ্চাকে নিয়ে থাকতেন। | 3 | NIv2 | task561_alt_translation_en_bg | zs_opt | [
0.612719714641571,
0.8550975918769836,
-1.1865460872650146,
-0.27673259377479553,
-0.6489827632904053,
-0.07312674820423126,
0.359602689743042,
-0.00508179422467947,
0.04532306268811226,
0.28748106956481934,
-0.17152300477027893,
0.05520269274711609,
-0.11500806361436844,
-0.07522349059581... |
Detailed Instructions: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Problem:[323, 803, -815]
Solution: | [320, 800, -820] | 8 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.49902820587158203,
0.5075747966766357,
-0.31036457419395447,
-0.591137170791626,
-0.7412251234054565,
-0.23059141635894775,
0.9625701904296875,
-0.0051856618374586105,
-0.3156106472015381,
0.6190323829650879,
-0.7553231120109558,
-0.2069832980632782,
-0.319007933139801,
0.08093684911727... |
Part 1. Definition
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Part 2. Example
Bulgarian: Състав на Парламента: вж. протоколи, English: Membership of Parliament: see Minutes
Answer: yes
Explanation: Given translation of bulgarian in english is right. Hence, label is 'yes'.
Part 3. Exercise
Bulgarian: - Bericht: Newton Dunn, English: 4.
Answer: | no | 7 | NIv2 | task273_europarl_classification | fs_opt | [
-0.5298234224319458,
0.47653642296791077,
0.39669764041900635,
0.198000967502594,
0.29256272315979004,
-0.41994550824165344,
1.148858904838562,
-0.12353306263685226,
0.4060075581073761,
-0.07454380393028259,
-0.23684945702552795,
0.9797399044036865,
-0.5604195594787598,
0.39485689997673035... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
והשקופית מאחורי בקושי מגרדת את פני השטח בכמה הם נפוצים בעולם החי.
A: | Y la diapositiva que tengo detrás apenas muestra por encima la diversidad que presentan en el mundo animal. | 7 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-1.0147972106933594,
0.9843549728393555,
0.08772175014019012,
-0.2431046962738037,
-0.7431964874267578,
-0.5667399168014526,
-0.12053531408309937,
0.38028794527053833,
0.19391021132469177,
-0.55620276927948,
-0.5127944946289062,
-0.2196476012468338,
-0.5934756994247437,
0.5132249593734741,... |
In this task, you need to replace a letter in the sentence with another given letter.
One example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Solution is here: grnup nf mntnrcycle mntnrists trying tn merge intn traffic
Explanation: The letter 'o' has been replaced in the letter 'n'.
Now, solve this: Sentence: 'a toilet down a long narrow hallway being painted'. Replace the letter 'a' with 'x' in the sentence.
Solution: | x toilet down x long nxrrow hxllwxy being pxinted | 6 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.321716845035553,
0.5592520833015442,
-0.5033522844314575,
-0.5089265704154968,
0.362026572227478,
-0.6062983870506287,
-0.2655239701271057,
0.23878344893455505,
0.3387666344642639,
-0.139438658952713,
-0.48479947447776794,
-0.2637627124786377,
-0.017836345359683037,
-0.5483323931694031,... |
Detailed Instructions: Given a paragraph about cooking, 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:`.
Problem:CONTEXT: Flour is a thickening agent, plain and simple. However adding it without cooking it first can lead to your dish having a raw flour taste, and you can get blobs of flour in it, so I would ignore the recipes which say coat with flour without cooking it first, or use cornstarch (cornflour) instead. Alternatively you can make a roux with flour in a separate pan and add it in later. This is simply mixing equal weights of flour and butter and cooking it in a frying pan until it has the color you want. A lighter roux will add a paler color and a milder flavor, a darker roux adds a deeper color and richer flavor. <sep> Q: Have you ever made a ragout? A: Alternatively you can make a roux Q: Do I have to roll the meat in flour when I make a ragout? A: can lead to your dish having a raw flour taste, and you can get blobs of flour in it Q: Should I add anything extra to my meat if I'm going to leave the flour off of it? A: I would ignore the recipes which say coat with flour without cooking it first, or use cornstarch (cornflour) instead <sep> FOLLOWUP_Q: Would the meat be more moist if I did roll it in flour first?
Solution: | No | 8 | NIv2 | task1439_doqa_cooking_isanswerable | zs_opt | [
0.16488367319107056,
0.5206780433654785,
-0.11026885360479355,
0.34505772590637207,
-0.3461676239967346,
-0.16644437611103058,
1.1615571975708008,
1.0834245681762695,
-0.9612195491790771,
0.02872360497713089,
0.015014119446277618,
-0.1419747918844223,
-0.4110746383666992,
0.664138674736023... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Q: daf-2変異体同様に TOR遺伝子を損傷させた変異体は線虫、ハエ、マウスの寿命を延ばします
A: | E as mutacións que danan ó xen TOR, coma coas mutacións daf-2, extenden a esperanza de vida en vermes, moscas e ratos. | 9 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
0.031653497368097305,
0.7203192114830017,
0.04738298058509827,
-0.9354212880134583,
0.20144152641296387,
-0.6873971223831177,
0.19636638462543488,
0.9801546335220337,
-0.5782948136329651,
0.4547838270664215,
-0.4012718200683594,
-0.1761772334575653,
-1.2662978172302246,
-0.1781739890575409... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Let me give you an example: Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account, Question: Does the tweet contain cyberbullying (harmful) content?
The answer to this example can be: Yes
Here is why: The tweet contains Bullying content
OK. solve this:
Tweet: @anonymized_account Ale Wisła niema pomysłu bez kiko, jesteśmy na niego skazani i powinniśmy mu pomóc w tym by mu wyszło , Question: Does the tweet contain cyberbullying (harmful) content?
Answer: | No | 8 | NIv2 | task839_cdt_classification | fs_opt | [
-1.1799535751342773,
1.049166202545166,
0.5049883127212524,
0.4680432081222534,
-0.5841516256332397,
-0.930485725402832,
0.8166475296020508,
-0.7104276418685913,
0.1288323700428009,
0.3315330147743225,
-0.2612055540084839,
0.2426963448524475,
-0.5399006605148315,
-0.18041762709617615,
-0... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
Example input: you are a dumb spic that can not spell spaniard
Example output: dumb spic
Example explanation: The phrase from the tweet addresses a Spanish speaking person from the Caribbean in an offensive way.
Q: and let us not forget harry polluting the royal blood line with the nigger
A: | polluting the royal blood | 3 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.9552260637283325,
0.9712808132171631,
0.5805741548538208,
0.5130659341812134,
-0.6634939908981323,
-1.604233980178833,
-0.2730628252029419,
0.5175352692604065,
0.6691243648529053,
0.25004470348358154,
-0.66576087474823,
0.39757686853408813,
-0.2775896191596985,
-0.9142516851425171,
-0... |
Part 1. Definition
Use a disfluent question or a proper question and find the answer to the question based on the given context or return None if an answer can't be found. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Part 2. Example
proper question: In what year did the U of C become one of 7 founding members of the Association of Chicago Universities?
disfluent question: In what year did Robert Harper or did the U of C become one of 7 founding members of the Association of Chicago Universities?
context: Founded by the American Baptist Education Society with a donation from oil magnate and wealthiest man in history John D. Rockefeller, the University of Chicago was incorporated in 1890; William Rainey Harper became the university's first president in 1891, and the first classes were held in 1892. Both Harper and future president Robert Maynard Hutchins advocated for Chicago's curriculum to be based upon theoretical and perennial issues rather than on applied sciences and commercial utility. With Harper's vision in mind, the University of Chicago also became one of the 14 founding members of the Association of American Universities, an international organization of leading research universities, in 1900.
Answer: None
Explanation: The answer to the above question is not found from the context hence it is not answerable so the output is 'None' so it is a positive example.
Part 3. Exercise
proper question: When is the Members Debate held?
disfluent question: What is the or rather when is Members Debate held?
context: Immediately after Decision Time a Members Debate is held, which lasts for 45 minutes. Members Business is a debate on a motion proposed by an MSP who is not a Scottish minister. Such motions are on issues which may be of interest to a particular area such as a member's own constituency, an upcoming or past event or any other item which would otherwise not be accorded official parliamentary time. As well as the proposer, other members normally contribute to the debate. The relevant minister, whose department the debate and motion relate to winds up the debate by speaking after all other participants.
Answer: | Immediately after Decision Time | 7 | NIv2 | task1625_disfl_qa_asnwer_generation | fs_opt | [
0.9411414861679077,
0.11868532747030258,
-1.0027750730514526,
0.40502986311912537,
0.035144105553627014,
-0.07850082218647003,
0.868255615234375,
0.1850973665714264,
0.5824077129364014,
0.2996063232421875,
0.02560320310294628,
0.2711740732192993,
-0.9720625877380371,
0.07572361081838608,
... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: GoMはまた、コミュニティラジオ局が放送1時間あたり5分以内の商業的広告を許可されるよう提案した。
A: | Ang GoM ay gayunding iminungkahi na ang mga radyo sa komunidad ay payagan ng hanggang 5 minuto ng komersyal na pagpapa-talastas sa bawat isang oras ng pagpapahayag. | 4 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.41382452845573425,
-0.14696937799453735,
0.9475265741348267,
-0.6860928535461426,
0.3708131015300751,
-0.5920585989952087,
-0.05494941771030426,
-0.023581523448228836,
-1.0366133451461792,
-0.03205125778913498,
-0.6850094795227051,
-0.27986520528793335,
-0.12135238945484161,
-0.13505035... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Italian.
Input: But in fact, emotions are an all-systems alert that change what we remember, what kind of decisions we make, and how we perceive things.
Output: | Ma di fatto le emozioni sono sistemi di allerta totale che cambiano quello che ricordiamo, che tipo di decisioni prendiamo, e come percepiamo le cose. | 2 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
0.22628772258758545,
-0.3683881163597107,
-0.0694381594657898,
0.34875547885894775,
-0.2647886872291565,
-2.088135004043579,
0.16619490087032318,
0.9559067487716675,
0.06938210129737854,
-0.6326128244400024,
-0.16591636836528778,
0.049845170229673386,
-0.5256654024124146,
0.429745107889175... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible. Do not change the main selected sentence in your answer.
Ex Input:
story: I finished my laundry one day and decided to fold them. I brought the basket of clothes to my living room couch. After separating the clothes, I began to fold them. When the clothes were all folded, I accidentally bumped into a cup. I spilled juice all over the clothes, and had to re-wash them all.
selected sentence: I finished my laundry one day and decided to fold them.
Ex Output:
I decide to fold my laundry >Causes/Enables> I begin to fold the clothes
Ex Input:
story: Delores was a new grandma. She had one grandson who was a baby. Delores wanted to spoil him, so he bought him a pony. It would be a few years before he could ride it. Delores couldn't wait to buy him more gifts!
selected sentence: Delores wanted to spoil him, so he bought him a pony.
Ex Output:
Delores buys a pony for her grandson >Causes/Enables> Her grandson doesn't ride the pony
Ex Input:
story: Adam was so excited to start preschool this year. On his first day he wore his favorite Spiderman hat. He was so excited that we got there early. I was a little sad but Adam didn't hesitate to run into the school. After school he was so happy to tell me about his day.
selected sentence: Adam was so excited to start preschool this year.
Ex Output:
| Adam is excited for preschool >Causes/Enables> We get to preschool early
| 1 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.6594290137290955,
0.4459834098815918,
-0.5926123857498169,
0.16821880638599396,
-0.576554000377655,
-0.9172759056091309,
-0.08278338611125946,
1.2883671522140503,
-0.09238120913505554,
-0.2418491393327713,
-0.5231252312660217,
0.3002881705760956,
-0.763530969619751,
-0.2754170596599579,
... |
Definition: 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 : Vueling Airlines, S.A. (styled as Vueling, Spanish pronunciation: (ˈbwelin); BMAD: VLG) is a Spanish low-cost airline based at El Prat de Llobregat in Greater Barcelona with hubs in Barcelona-- El Prat Airport and Leonardo da Vinci--
Subject : Vueling
Relation : parent company
Output: | Which company is the parent company of Vueling? | 2 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
-0.6469672322273254,
1.0103353261947632,
0.05870852619409561,
-0.2668865919113159,
-0.3882993757724762,
0.9058884382247925,
-0.13928821682929993,
0.375449001789093,
-0.12032218277454376,
-0.42635244131088257,
-0.5877379775047302,
0.15927714109420776,
-0.29369401931762695,
-0.06558199226856... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Es probable que introduzca un comienzo en el evento de fecha.
Usted es desconocido para encontrar un calendario en el libro de fechas.
Es probable que encuentre una bomba venenosa en un vehículo.
Es probable que encuentre un vehículo bomba en un vehículo.
Es probable que encuentre una estación de autobuses en un cementerio.
| Es probable que encuentre una estación de autobuses en un campo.
| 0 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
0.5389848947525024,
0.4684259295463562,
0.18878597021102905,
0.18308308720588684,
-0.013277839869260788,
-1.118377923965454,
0.1340307593345642,
1.8736684322357178,
0.0341799333691597,
-0.2932734787464142,
-0.736613392829895,
0.08835981041193008,
-0.6144293546676636,
0.0029804608784615993,... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Example Input: Combat-Injured Veterans Tax Fairness Act of 2016 This bill directs the Department of Defense (DOD) to identify: certain severance payments to veterans with combat-related injuries paid after January 17, 1991, from which DOD withheld amounts for tax purposes, and the individuals to whom such severance payments were made. DOD shall provide each such veteran with: notice of the amount of improperly withheld severance payments, and instructions for filing amended tax returns to recover such amount. The period for filing a related claim with the Internal Revenue Service for a credit or refund is extended beyond the three-year limitation to the date that is one year after DOD provides the veteran with the information required by this Act. DOD shall ensure that amounts are not withheld for tax purposes from DOD severance payments to individuals when such payments are not considered gross income.
Example Output: Combat-Injured Veterans Tax Fairness Act of 2016
Example Input: Amends Federal transportation law to establish a National Transportation System (NTS) that will move people and goods in a way that promotes mobility, economic productivity, congestion relief, energy conservation, and air quality improvement.
Directs the Secretary of Transportation to submit to the Congress the designation of the NTS. Prohibits proposed new routes or facilities that are in nonattainment areas for ozone or carbon monoxide, or segments of the National Highway System (NHS), from being included in the NTS until they have been included in a metropolitan or State long-range plan transportation improvement program conforming to a State implementation plan developed pursuant to the Clean Air Act. Authorizes the Secretary to make grants to pay 80 percent of the development and implementation costs of the NTS.
Requires a metropolitan or State long-range plan to identify, at a minimum, transportation facilities, including, among others, airport, port, inland waterway, and railroad, that function as an integrated metropolitan or State transportation system, giving emphasis to facilities that serve important national and regional transportation functions. Requires such transportation systems to serve as the NTS in such metropolitan area or State, unless the Secretary determines it would not be in the public interest or promote the goals of the NTS. Directs the Secretary to set-aside a specified percentage of NHS funds for grants for the developmental costs of the NTS.
Directs States to set-aside a specified percentage of their NHS apportionment to provide intermodal connections to the NHS or connections between the NHS and the NTS. Prohibits the use of State set-asides for projects that add new capacity for single-occupant passenger vehicles (other than for facilities which are part of a system that reduces their use). Sets forth formulae for the apportionment of NHS funds to certain urbanized and rural areas.
Example Output: To amend title 23, United States Code, relating to establishment of the National Transportation System.
Example Input: Indoor Air Act of 1994 - Directs the Administrator of the Environmental Protection Agency to publish: (1) a list of common significant indoor air health risks; and (2) concurrently with such list, voluntary guidelines for identifying, reducing, and preventing such risks.
Requires the Administrator to give priority to conducting and providing financial or other assistance to studies concerning indoor air quality.
Directs the Administrator to: (1) report to the Congress on persons operating contractor businesses engaged in the identification, reduction, and prevention of significant indoor air health risks and on the need for a program to certify contractors engaged in such activities; and (2) establish a voluntary certification program for contractors engaged in the identification of such risks. Imposes fees for certification. Authorizes the suspension or revocation of certifications for violations of certification requirements.
Directs the Administrator to publish and disseminate the list of common significant indoor air health risks, the guidelines for identifying, reducing, and preventing such risks, and indoor air health advisories addressing the health effects of such risks.
Requires the Administrator to develop a voluntary program to provide Federal recognition to buildings that are operated and maintained to prevent or minimize such risks and that provide significant energy efficiency benefits.
Authorizes the Administrator to provide grants to States and local governments to implement programs to identify, reduce, and prevent such risks.
Requires the Director of the National Institute for Occupational Safety and Health to implement a Building Assessment Program to provide assistance and guidance to employers and employees on measures to reduce such risks. Authorizes the Director, at the request of an employer or employee, to conduct on-site assessments of buildings.
Directs the Administrator to ensure that the presentation of information on significant indoor air health risks is unbiased and informative.
Authorizes appropriations.
Example Output: | Indoor Air Act of 1994
| 3 | NIv2 | task1659_title_generation | fs_opt | [
0.08690513670444489,
0.16055980324745178,
-0.3260954022407532,
0.13387247920036316,
0.6551023721694946,
-0.19256696105003357,
1.4317630529403687,
1.222253441810608,
-0.6982783079147339,
0.7567892074584961,
0.04270674288272858,
0.08060815930366516,
-0.274944543838501,
-0.12217803299427032,
... |
instruction:
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment), 1 (neutral), or 2(contradiction).
question:
sentence_A: A dog, which is large and gray, is carrying a ball in its mouth and running across the grass. sentence_B: There is no large dog running on the grass with a tennis ball in its mouth
answer:
1
question:
sentence_A: There is no woman slicing a potato. sentence_B: A woman is slicing a potato
answer:
2
question:
sentence_A: A man is rock climbing and a city and a bay are in the background. sentence_B: A person is rock climbing and a city and a bay are in the background
answer:
| 0
| 9 | NIv2 | task1612_sick_label_classification | fs_opt | [
-0.28624415397644043,
0.7457918524742126,
-0.18262892961502075,
-0.19450703263282776,
-0.12039273977279663,
-0.6939698457717896,
0.3449265956878662,
0.754123330116272,
0.306765615940094,
-0.4935064911842346,
-0.712697446346283,
-0.06630170345306396,
-0.29612284898757935,
-0.317490398883819... |
Detailed Instructions: In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
See one example below:
Problem: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine
Solution: B
Explanation: Since the blank is someone who received the gift and already had a stuffed animal, the answer must be "Christine".
Problem: The sentence written by William was more understandable than the one written by Kenneth since _ was more direct. (A) William (B) Kenneth
Solution: | A | 4 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.0029670363292098045,
0.534278929233551,
-0.10105682164430618,
-0.5607632398605347,
-0.02078942209482193,
-1.2908562421798706,
0.4984614849090576,
0.9937856197357178,
0.010695420205593109,
0.395962119102478,
0.5903906226158142,
0.5811867117881775,
0.4800470173358917,
0.20847225189208984,... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
3536 aggiunta 30 aggiunta 7929 sottrazione 8644 sottrazione 8945 aggiunta 8257 aggiunta 5289 aggiunta 9823
17275
7615 sottrazione 8026 sottrazione 6946 sottrazione 7987 aggiunta 47 aggiunta 3903
-11394
7451 sottrazione 6031 aggiunta 6033 sottrazione 5294 aggiunta 2198 aggiunta 565
| 4922
| 0 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.005681637674570084,
0.5866580009460449,
-0.34285616874694824,
-0.25296705961227417,
-0.5609129667282104,
0.14394432306289673,
0.6474242210388184,
1.0095858573913574,
0.07499442249536514,
-0.4668528437614441,
-1.1446354389190674,
-0.6311910152435303,
-0.24966156482696533,
0.3692982196807... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
--------
Question: I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK
Answer: walk right thrice after look opposite left
Question: I_LOOK I_LOOK I_LOOK I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN
Answer: look thrice and run around left thrice
Question: I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_LOOK
Answer: | turn around right thrice and look opposite right twice
| 7 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.6849589943885803,
0.7801436185836792,
-0.4972744882106781,
0.24465279281139374,
-0.05908247083425522,
0.15337783098220825,
-0.04469727724790573,
0.5929755568504333,
-0.24713543057441711,
-0.14521612226963043,
-0.6644351482391357,
-0.16121259331703186,
-0.5298618674278259,
-0.023036036640... |
Detailed Instructions: In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the passage can be used to answer the question. Indicate your choice as `a` for Yes or `b` for No.
Problem:Question: How many members did the Boston Symphony Orchestra have when Lilacs for voice and orchestra was premiered by the group? Passage:Whitman's poem appears in the Broadway musical Street Scene (1946) which was the collaboration of composer Kurt Weill, poet and lyricist Langston Hughes, and playwright Elmer Rice. Rice adapted his 1929 Pulitzer prize-winning play of the same name for the musical. In the play, which premiered in New York City in January 1947, the poem's third stanza is recited, followed by duet, "Don't Forget The Lilac Bush", inspired by Whitman's verse. Weill received the first Tony Award for Best Original Score for this work African-American composer George T. Walker, Jr. (born 1922) set Whitman's poem in his composition Lilacs for voice and orchestra which was awarded the 1996 Pulitzer Prize for Music. The work, described as "passionate, and very American," with "a beautiful and evocative lyrical quality" using Whitman's words, was premiered by the Boston Symphony Orchestra on February 1, 1996. Composer George Crumb (born 1929) set the Death Carol in his 1979 work Apparition (1979), an eight-part song cycle for soprano and amplified piano.
Solution: | a | 8 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.5903477668762207,
0.5945481061935425,
-0.4313691258430481,
0.6142826676368713,
0.3257530927658081,
-0.6844359636306763,
0.5191354751586914,
0.8708981275558472,
0.4881851375102997,
0.2975764870643616,
-0.21643881499767303,
0.7105808854103088,
-0.19245456159114838,
0.36187905073165894,
-... |
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, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. 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.
Q: Head: PersonX holds out PersonY's hands<sep>Tail: happy
A: | Yes | 4 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.33256998658180237,
0.13657747209072113,
0.5003055334091187,
-0.22965607047080994,
-0.18315640091896057,
-1.0083047151565552,
1.1814048290252686,
0.3453497290611267,
-0.5969098210334778,
-0.3868054747581482,
-0.2607586979866028,
-0.3450268507003784,
-0.5877383947372437,
0.1665543913841247... |
Given the task definition and input, reply with output. In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
The idea of a European Public Prosecutor on the continental inquisitorial model with overriding jurisdiction throughout EU territories would have a major impact on the traditional systems both in Ireland and the UK.
| La idea de un ministerio fiscal europeo a partir del modelo inquisitorial continental con jurisdicción absoluta en todos los territorios de la UE tendría repercusiones importantes en los sistemas tradicionales de Irlanda y del Reino Unido. | 5 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.7997641563415527,
0.7856584191322327,
0.4195345640182495,
-0.29325586557388306,
-0.2428586781024933,
-0.2262248694896698,
0.12385141104459763,
0.305861234664917,
-0.09451480209827423,
-0.3026931583881378,
-0.2948411703109741,
0.8273953199386597,
-1.1475536823272705,
-0.3297898769378662,... |
Definition: In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
Input: 8466 # 4650 @ 7070 @ 1312 # 5893
Output: | 6305 | 2 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
0.16241994500160217,
0.2750958204269409,
-1.1201767921447754,
0.07686342298984528,
-0.41653504967689514,
-0.48664984107017517,
0.39619195461273193,
1.2138253450393677,
0.8001739382743835,
0.13618451356887817,
-0.5336802005767822,
-0.4701063632965088,
0.27521777153015137,
0.1444660574197769... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Q: יש קצת חדשות טובות. דבר ראשון, אני רוצה להגיד, עברנו דרך ארוכה מאוד.
A: | Há algumas notícias boas. Em primeiro lugar, já percorremos um caminho muito, muito longo. | 4 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
0.2949088215827942,
1.0178704261779785,
-0.20828638970851898,
0.2452530562877655,
-0.3849942684173584,
-0.749680757522583,
-0.27157479524612427,
0.48965901136398315,
0.782921552658081,
0.17878854274749756,
-0.16414934396743774,
-0.2799476981163025,
-0.6264474391937256,
0.3567012548446655,
... |
Detailed Instructions: 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.
Q: Context: The 2009 Pacific Nations Cup is a rugby union tournament held between five national sides on the Pacific Rim: Fiji, Japan, Samoa, Tonga and the Junior All Blacks. Link Information: none Answer: none
A: | Which team was ranked the highest at the 2009 Pacific Nations Cup? | 9 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
0.14185068011283875,
0.08240633457899094,
-0.6240979433059692,
0.04168454930186272,
-0.4090275168418884,
-0.11408030986785889,
0.4704119861125946,
-0.13239413499832153,
-0.39976438879966736,
0.2478557676076889,
-0.2547869384288788,
0.7459439635276794,
-1.2834819555282593,
0.200963586568832... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Example input: when are hops added to the brewing process?
Example output: The boiling process
Example explanation: The answer is correct because, at the end of the boil, solid particles in the hopped wort are separated.
Q: fire and fury inside the trump white house publisher
A: | Henry Holt and Company | 3 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.6136478185653687,
0.24426603317260742,
0.10953865945339203,
0.46231555938720703,
-0.317594438791275,
-0.8828452825546265,
0.7822240591049194,
0.4876728653907776,
0.3058438003063202,
0.015359118580818176,
-0.3377074897289276,
0.210031196475029,
-0.19224242866039276,
-0.20134896039962769,... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Input: Consider Input: [172, 103, 13, 75, 70, 130]
Output: [103, 13, 75]
Input: Consider Input: [110, 199, 175, 134, 175, 86]
Output: [199, 175, 175]
Input: Consider Input: [100, 32, 53]
| Output: [53]
| 2 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.4859427213668823,
0.28070443868637085,
-0.40992578864097595,
-0.6888914108276367,
0.3535844087600708,
-0.1814996898174286,
0.7180497646331787,
0.31225255131721497,
-0.4908364713191986,
0.5918763279914856,
-1.0193989276885986,
0.33607661724090576,
-0.14515800774097443,
-0.567006587982177... |
Instructions: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related to sports. Label the text "2" if it contains information related business. Label the text "3" if it contains science or technical related information.
Input: Stores Are Hoping to Do Well by Urging Shoppers to Do Good This Christmas season, Americans are the focus of a different kind of retail marketing: campaigns that appeal to people's oft-stated wish to share with the less fortunate.
Output: | 0 | 3 | NIv2 | task1541_agnews_classification | zs_opt | [
-1.2837942838668823,
0.15305250883102417,
0.07602087408304214,
0.7258244752883911,
0.4880036413669586,
0.16099047660827637,
-0.14148850739002228,
0.552480936050415,
-0.5010318756103516,
0.2574806213378906,
-0.4385695457458496,
0.48199722170829773,
-0.14026953279972076,
-0.33431798219680786... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
כמה מכם יכולים להבדיל בין חיטה לדגנים אחרים?
| Ilu z Was potrafi odróżnić pszenicę od innych zbóż? | 5 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-1.1098383665084839,
1.0107861757278442,
0.16023096442222595,
0.16687890887260437,
-0.3614771366119385,
0.02205602452158928,
0.985834538936615,
-0.6940955519676208,
0.5389913320541382,
-0.6559569239616394,
-0.3879305124282837,
0.5145292282104492,
-0.794564425945282,
0.23448395729064941,
... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
The power plug fell out within 30 days of purchase with light use. It won't stay in. Had to buy replacement.
Bad review
This has to be one of the best value products on Amazon. The quality is top notch, everything works just as advertised, and they have super fast shipping. Would recommend this highly.
Good Review
I have an expensive TV so I knew the sound wouldn't be that great. Well it turns out not too bad at all! My husband loves to make popcorn and now he can do that at night without waking me. Now this is just an option we didn't think about, but I'm sure glad as I'm really enjoying it.
| Good Review
| 0 | NIv2 | task929_products_reviews_classification | fs_opt | [
-0.2219362109899521,
0.07850143313407898,
-0.05072737857699394,
-0.11867071688175201,
0.3769072890281677,
-1.114558458328247,
0.9693734049797058,
1.05008864402771,
-0.2494586557149887,
0.7321897149085999,
-0.10470083355903625,
0.13456042110919952,
-0.4760766625404358,
-0.633238673210144,
... |
Detailed Instructions: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Q: Sentence1: Anna was visiting Ecuador. Sentence2: She was afraid to try the local food. Sentence3: She decided to just eat fruit. Sentence4: She found that bananas in Ecuador were cheap and plentiful. Sentence5: Anna ate lots of bananas on her trip!
A: | Anna | 9 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.3715667426586151,
-0.10310335457324982,
-0.10750145465135574,
-0.31747427582740784,
-0.3597998321056366,
-0.3169158697128296,
0.8370490670204163,
0.3968867063522339,
-0.4423287510871887,
-0.1577974408864975,
-0.18609189987182617,
-0.4655027389526367,
-0.8756662607192993,
-0.1920530796051... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Example: A mosquito stings me
I sting a mosquito
Output: second
The second statement doesn't make sense.
New input case for you: Grass is green
Grass is orange
Output: | second | 1 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
-0.1989162266254425,
0.2912376821041107,
-0.1769135296344757,
-0.21295705437660217,
-0.03683651238679886,
-0.487159788608551,
0.03198840469121933,
0.7640957832336426,
0.2482171654701233,
0.5060904026031494,
-0.5587228536605835,
-0.8754521012306213,
-0.05863761901855469,
-0.173068568110466,... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Sentence 1: A German shepherd on a leash barking up at somebody. Sentence 2: a dog is barking | a dog is barking at the neighbor | 0 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.7446526288986206,
0.7894803881645203,
0.6647590398788452,
-0.13988333940505981,
0.018475046381354332,
-0.01414913684129715,
0.3559563457965851,
0.5436299443244934,
0.3385087251663208,
-0.9144622087478638,
-1.3230522871017456,
-0.6862870454788208,
-0.7168779969215393,
-0.4193847775459289... |
Given the task definition and input, reply with output. In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
Once they slowed had down he started to zigzag towards the buildings.
| Inversion | 5 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.383488267660141,
0.616110622882843,
0.6514713764190674,
0.3620136082172394,
0.1184423565864563,
0.5929338932037354,
0.2853393256664276,
0.5725864171981812,
0.057141005992889404,
-0.133231058716774,
-1.0166292190551758,
-0.9240264892578125,
-0.2700824737548828,
-0.0799616277217865,
0.2... |
Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent, but some important information differs/missing.
4 : The two sentences are mostly equivalent, but some unimportant details differ.
5 : The two sentences are completely equivalent, as they mean the same thing.
Sentence 1: The skinny cows are standing on the grass. Sentence 2: The white ducks are standing on the ground.
1
Sentence 1: The broader Standard & Poor's 500 Index .SPX rose 3.47 points, or 0.36 percent, to 977.59. Sentence 2: The tech-laden Nasdaq Composite Index .IXIC shed 8 points, or 0.45 percent, to 1,645.
1
Sentence 1: A man is coming out into the water. Sentence 2: A man rises from a swamp.
| 3
| 0 | NIv2 | task1347_glue_sts-b_similarity_classification | fs_opt | [
-0.5238161087036133,
0.2673679292201996,
-0.39085716009140015,
0.02654227986931801,
0.23346471786499023,
-0.02563403733074665,
0.32365965843200684,
1.499064564704895,
0.44474199414253235,
0.4591210186481476,
-0.5838661193847656,
0.05943574756383896,
-0.804379940032959,
-0.26563411951065063... |
A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
[Q]: શ્રી મોદીએ મહિલાઓને કહ્યું હતું કે, તેઓ તાજેતરમાં શરૂ થયેલી પ્રધાનમંત્રી શ્રમ યોગી માન ધન યોજનાનો લાભ ઉઠાવે, કારણ કે આ મારફતે વૃદ્ધાવસ્થામાં નાણાકીય સુરક્ષાની વ્યવસ્થા કરવામાં આવી છે.
[A]: वृद्धापकाळात आर्थिक सुरक्षा पुरवणाऱ्या नुकत्याच सुरू करण्यात आलेल्या प्रधानमंत्री श्रम मानधन योजनेचा महिलांनी लाभ घ्यावा असे आवाहन त्यांनी केले.
[Q]: ગ્રામીણ વિકાસ મંત્રી;
[A]: ग्रामीण विकास मंत्री
[Q]: ભવિષ્યની માટે, આપણી આવનારી પેઢી માટે, તેમને માત્ર કાશ્મીર જ નહીં, ભારતના વિકાસની મુખ્યધારા સાથે પણ જોડાવું પડશે.
[A]: | चांगल्या भविष्यासाठी, आपल्या येणाऱ्या पिढ्यांसाठी त्यांना फक्त कश्मीरच नाही तर भारताच्या विकासाच्या मुख्य प्रवाहामध्ये सहभागी झाले पाहिजे.
| 5 | NIv2 | task983_pib_translation_gujarati_marathi | fs_opt | [
-0.7812122106552124,
0.34900200366973877,
-0.4359898567199707,
-1.0649538040161133,
0.059950847178697586,
-0.7363867163658142,
0.7392060160636902,
0.6453307867050171,
0.5663164854049683,
-0.4982878565788269,
-0.690710723400116,
0.21843500435352325,
-0.5784220695495605,
0.2849302589893341,
... |
Teacher:In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The resolution of the pronoun coreference relations typically involve 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. You should answer 'Correct' if the reasoning made sense, otherwise, you should answer 'Wrong'.
Teacher: Now, understand the problem? Solve this instance: Sentence: Dan had to stop Bill from toying with the injured bird. He is very compassionate.
Reason: The 'He' refers to dan because he is actually a 'he' in the first place, but he might be referring to his partner.
Question: Is the above reasoning correct or wrong?
Student: | Wrong | 6 | NIv2 | task133_winowhy_reason_plausibility_detection | zs_opt | [
0.1279180645942688,
0.28419065475463867,
0.017815645784139633,
-0.004535249434411526,
0.0698200911283493,
-0.627829372882843,
0.8355542421340942,
0.39093634486198425,
0.13231191039085388,
-0.3122546970844269,
-0.6649788618087769,
0.5945409536361694,
-1.040865182876587,
-0.17432764172554016... |
Given the task definition and input, reply with output. In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
[header] How to get your crush to kiss you [title] Say hello. [step] If your crush doesn't know you exist, try introducing yourself. If you're in a class together, you can use that as an excuse to start talking to your crush. <sep> (A) Just let it pass without offering an excuse. [substeps] If your crush is in the break room, by all means speak your mind. (B) [substeps] If your crush is someone you both know, consider joking around with them a little bit. If you know your crush has a different class or the same friends, try making small talk. (C) [substeps] For instance, say, " hi! I'm joan. I was just wondering if you know my crush. (D) [substeps] For instance, say you have history together. You could say, " hi, i'm janie.
| D | 5 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.9350049495697021,
0.7215561866760254,
-0.03981705382466316,
-0.5984288454055786,
-0.11922575533390045,
-0.5389198064804077,
0.6741446256637573,
0.36445823311805725,
-0.22948625683784485,
-0.22567075490951538,
-0.21691860258579254,
-0.049350861459970474,
0.734193742275238,
-0.126463353633... |
Q: In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Preheat oven to 350 degrees Fahrenheit. Make the cheesecake: In a large mixing bowl, add cream cheese and sugar. Beat until incorporated and whipped. Add eggs and vanilla and mix on medium until evenly incorporated.,Prepare crust. In a small bowl, mix graham cracker, sugar and butter. Press into bottom of standard springform pan. Place in oven and bake for 5 minutes. Remove from oven and pour cream cheese mixture into springform pan. Add dollops of nutella evenly in cheesecake. With a skewer or sharp knife, swirl nutella into cheesecake.,______,Get a small dish and fill it with water. Get out an ice cream scoop or melon baller and line a baking sheet with parchment paper. Wet your hands in the water dish and scoop out a bit of cheesecake. Roll with your hands into a round ball. Ball should be an inch by an inch. Place on parchment paper and add stick 3/4 way into the ball. Repeat for the rest of the cheesecake. It should make about 60.,Place in freezer for at least 3 hours to overnight.,Place one tray of candyquik in microwave and follow instructions. Take pops out of freezer. Place oreo in a shallow dish. Make an assembly line and dip pops into melted chocolate coating evenly. Then quickly roll in oreo and then place back on original baking sheet. Repeat with 1/2 of pops. Then melt white chocolate and roll int sprinkles instead for the other 1/2.,Place in freezer for at least 2 hours and until right before serving.
A: | Place in oven and bake until no longer jiggly in the middle, for about an hour and 15 minutes. Remove from oven and let set | 7 | NIv2 | task572_recipe_nlg_text_generation | zs_opt | [
0.7291425466537476,
1.0562036037445068,
-0.3385390043258667,
0.4991385340690613,
-0.05263879895210266,
0.655911922454834,
0.6800147294998169,
1.0836961269378662,
-0.5823678970336914,
-0.10186470299959183,
0.4624409079551697,
-0.01398486364632845,
0.08714233338832855,
-0.17053136229515076,
... |
Part 1. Definition
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Part 2. Example
E eu continuo a pensar que o transporte é o centro deste universo.
Answer: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Explanation: The Portugese sentence is correctly translated into Farsi, because the meaning is preserved.
Part 3. Exercise
Cada uma destas manchas que veem, ou vóxeis, como são chamados, pode conter milhões e milhões de neurónios.
Answer: | هر کدام از آن حباب هایی که می بینید ، که نامشان ووکسل است ، از میلیون ها میلیون نورون تشکیل شده ، | 7 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.006454826332628727,
0.305928111076355,
0.46153944730758667,
0.16306914389133453,
-0.5517405867576599,
0.07665766775608063,
0.9202242493629456,
0.22229140996932983,
0.2262529730796814,
-0.15038442611694336,
-0.958314836025238,
0.38234829902648926,
-0.25286200642585754,
0.3038167953491211... |
Teacher:Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Teacher: Now, understand the problem? Solve this instance: Somali sentence: Nebigu isaga u sheegay, "Tag oo maydka Osama, ka dibna waxay bixiyaan laba cutub oo salaadda ooga oo la yidhaahdo, 'O Allah, Wax baan idin weyddiinayaa, oo waxaan idinka Toobad by Muhammad, Nebiga naxariista.Nabiyow, inaan u leexdo xagga Eebihiin inuu ilxidhka ka kaxeeyo indhahayga.
Student: | The Prophet told him, "Go and make ablution, then offer two units of prayer and say, 'O Allah, I ask You and I turn to You by Muhammad, the Prophet of Mercy. O Muhammad, I turn to your Lord to remove the veil from my eyes. O Allah let him intercede for me." | 6 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.049747295677661896,
0.5575891733169556,
0.04505937173962593,
-0.5949039459228516,
0.13235634565353394,
-1.3600167036056519,
-0.07279164344072342,
0.354120135307312,
-0.058495212346315384,
0.3438527286052704,
0.16233310103416443,
0.29466938972473145,
-0.4748191237449646,
-0.6641686558723... |
Instructions: You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value of a variable (2) 'arithmetic' questions will ask the sum, difference, multiplication, division, power, square root or value of expressions involving brackets (3) 'measurement' questions are questions that ask to convert a quantity from some unit to some other unit (4) 'numbers' questions will be about bases, remainders, divisors, GCD, LCM etc. (5) 'probability' questions will ask about the probability of the occurrence of something. A question must belong to only one category.
Input: Two letters picked without replacement from {l: 4, r: 1, d: 5}. Give prob of sequence dd.
Output: | probability | 3 | NIv2 | task834_mathdataset_classification | zs_opt | [
-0.027287248522043228,
0.43506184220314026,
-0.041250068694353104,
-0.15621210634708405,
-0.05475134775042534,
0.23209260404109955,
0.6652538776397705,
0.26811689138412476,
0.3124024271965027,
-0.528469979763031,
-0.6816067695617676,
0.055591143667697906,
-0.30758368968963623,
0.1709236353... |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Ex Input:
Review: I was not only an extra in this movie, I got to see it in Boston to a sold out cinema. Over a thousand Boston Red Sox / Farrelly fans jammed themselves into a movie theater near Boston Common to watch a comedy....about them....Red Sox fanatics! Drew Barrymore and Jimmy Fallon star is this cute comedy about love and lust. The love is between the two young lovers. The lust is for the Red Sox winning the world series. Although Fallon is not a great actor, he is the best actor for the role. He is funny enough and gets the most laughs. Barrymore on the other hand is the same old Barrymore. At times, I felt supporting actress Ione Skye would have been a better actor for the role. All in all, all Boston Red Sox fans will love this movie. For the rest of the world, this is just a funny movie. Question: is it a positive review?
Ex Output:
yes
Ex Input:
Review: This was truly dreadful! It had a terrible storyline, was poorly acted, and was like an amateur remake of evil dead but not nearly as good.It took all my tenacity to make it through this one, it's a good job I didn't have to visit the toilet else I doubt I would have come back! This one makes Hammer House of Horror look like a big screen Hollywood epic. The only value to this movie was the never ending supply of beautiful women. Not a bad one among them! If you want to letch with your friends after a night on the beer then this one's for you ... else avoid it like the plague! Question: is it a negative review?
Ex Output:
yes
Ex Input:
Review: WOW. One of the greatest movies I have EVER - EVER seen.Absolutely LOVED it! Before the opening credits were done I was glued to the screen.It's a Sci-Fi thriller - AND edge of your seat Whodunnit. Incredible.I wish'd it would never end.Lucy Liu is a throwaway role. Anyone could have played it. The lead actor, Jeremy Northram was the perfect geeky guy. This movie appeals to me who loved War Games, Sneakers, and Track Down.Incredible!8-22-06. Walt D in LV Question: is it a negative review?
Ex Output:
| no
| 1 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.1592651903629303,
-0.1230611577630043,
-0.5342420339584351,
0.6505213379859924,
0.7887223958969116,
-1.002678632736206,
0.5867121815681458,
0.5163482427597046,
-0.05355102941393852,
-0.293965220451355,
-0.37661975622177124,
0.6239734888076782,
-0.23070919513702393,
-0.46356117725372314,... |
TASK DEFINITION: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first element in the list will be subtracted by one. For every element in the list you need to find "element - index" where the index of the beginning element is 1 and increments by 1 for each element. Put your result list in brackets.
PROBLEM: [-8, -16, 1, -17, 19, 10, 20, 20, 2]
SOLUTION: [-9, -18, -2, -21, 14, 4, 13, 12, -7]
PROBLEM: [-13, 14, -3, -9, 1, 11, -1, 9, 11]
SOLUTION: [-14, 12, -6, -13, -4, 5, -8, 1, 2]
PROBLEM: [18, 6, 7, 11, -6, 11, 17]
SOLUTION: | [17, 4, 4, 7, -11, 5, 10]
| 8 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.7735105156898499,
0.00294788321480155,
-0.8556900024414062,
-0.42206135392189026,
-0.2397882640361786,
0.1970439851284027,
1.0940734148025513,
0.5610331296920776,
-0.0016745018074288964,
-0.40395355224609375,
-0.7035535573959351,
-0.12487012147903442,
-0.563075065612793,
-0.0915178135037... |
Detailed Instructions: In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. The output should keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Keep them as they are in the translations. 4) Do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Do the same in your translations.
Problem:In a remark, Lagos State Trade Union Congress Chairman TUC, Mr. Francis Ogunremi called on Governor Akinwunmi Ambode to commence payment of minimum wage by May and arrears of April.
Solution: | Ọ̀gbẹ́ni Francis Ògúnrèmí tó jẹ́ alága fún àwọn Onísòwò pe Gómìná Akinwunmi Ambode láti bẹ̀rẹ̀ síní san owó osú òṣìṣẹ̀ tó kéré jù nínú Oṣù Karùn ún Ọdún Bákan náà ni wọn tún béèrè fún owó àjẹmọ́nú ti Oṣù kẹrin ọdún. | 8 | NIv2 | task1619_menyo20k-mt_en_yo_translation | zs_opt | [
-0.0784044936299324,
0.5109446048736572,
-0.4044618010520935,
0.09536360204219818,
0.687981367111206,
-0.8508574962615967,
0.6391370296478271,
0.20221687853336334,
-0.452961802482605,
0.2386680245399475,
-0.03773129731416702,
0.013528048992156982,
-0.6475445032119751,
0.35539281368255615,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Example Input: También están de acuerdo en el hecho de que consumiremos el doble de lo que consumimos ahora. Porque los ingresos en los países en vía de desarrollo van a multiplicarse por cinco, aunque la media mundial estará sobre el 2,9.
Example Output: Wszyscy będą konsumowali dwa razy więcej niż obecnie — ponownie, jest to zgodna opinia naukowców. Będzie tak, bo dochód w rozwijających się państwach wzrośnie pięciokrotnie w stosunku do dzisiejszego. w skali światowej, około 1,9.
Example Input: SS: eso estuvo genial.
Example Output: Świetnie nam wyszło.
Example Input: ¿Perdón? (Miembro de la audiencia: Rajasthan.) Anil Gupta: Pero, ¿para qué se utiliza? ¿Para qué se ha utilizado?
Example Output: | Słucham? (z publiczności: Rajasthan.) Ale do czego się go używa? Gdzie je umieszczono?
| 3 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.820297360420227,
1.0064282417297363,
-0.5718399286270142,
-0.319402277469635,
-0.43842536211013794,
-0.5224052667617798,
0.19285845756530762,
-0.012484200298786163,
-0.016800014302134514,
-0.5756477117538452,
-0.6377730369567871,
0.6527936458587646,
-0.41379600763320923,
-0.016652664169... |
Teacher:Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Teacher: Now, understand the problem? Solve this instance: Camden Council said it would now go ahead with a public consultation. It wants to introduce the speed limit to all roads under its control to reduce the number of accidents and encourage more people to walk or cycle. The Association of British Drivers has said 20mph limits are counter-productive. There are already 20mph zones in specific neighbourhoods in Camden and the council claims they have helped improve road safety. None of the borough's roads has a speed limit over 30mph.
Student: | Areas of central and north London are a step closer to having a 20mph speed limit imposed after councillors agreed a motion to improve road safety. | 6 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
-0.461103230714798,
0.6058854460716248,
0.16698408126831055,
-0.9409784078598022,
0.06685888767242432,
-0.8855524063110352,
-0.02421446517109871,
0.7199100255966187,
-0.28588414192199707,
0.17212709784507751,
0.010827699676156044,
0.4188227653503418,
-0.3966695964336395,
-0.563259243965148... |
Given the task definition and input, reply with output. In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb, Num: Number, Misc: Miscellaneous, Pron: Pronoun, Prep: Preposition, Punc: Punctuation.
In de voorstelling is hij een kwezel , bijna een domoor .
| Prep Art N V Pron Art N Punc Adv Art N Punc | 5 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
-0.5294965505599976,
1.0369666814804077,
0.36923182010650635,
-0.14334192872047424,
-0.4160570204257965,
0.21349631249904633,
0.6221420764923096,
-0.1979561150074005,
0.1586938053369522,
-0.5567610859870911,
-0.3464806079864502,
0.6777353882789612,
-0.5395174026489258,
0.3282340168952942,
... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Let me give you an example: Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ?
Options: a ) 25 m , b ) 45 m , c ) 32 m , d ) 75 m , e ) 62 m
The answer to this example can be: d
Here is why: New speed = 5 / 6 th of usual speed new time = 6 / 5 th of usual time 6 / 5 ut - ut = 15 m ut / 5 = 15 m ut = 75 m answer is d
OK. solve this:
Problem: a train 180 m long is running with a speed of 55 km / hr . in what time will it pass a man who is running at 7 km / hr in the direction opposite to that in which the train is going ?
Options: a ) 5.5 , b ) 10.45 , c ) 7 , d ) 8 , e ) 9.5
Answer: | b | 8 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.5526988506317139,
-0.10525041818618774,
-0.23467549681663513,
0.12661844491958618,
-0.3147036135196686,
-0.05078379064798355,
-0.20874011516571045,
0.6431804895401001,
0.27675139904022217,
-0.36533451080322266,
-1.258180022239685,
0.12253904342651367,
-0.10314469784498215,
0.191638767719... |
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
[EX Q]: WCD Ministry launches Yoga Day Contest: YogaFor9to5 The Ministry of Women and Child Development has launched 'YogaFor9to5: A contest focused on generating awareness regarding benefits of Yoga at Workplace for Women. The contest invites self-demonstration Videos Pictures of Yoga Asanas being practiced during office hours. "The idea is to make people aware at large that effortless Yoga Asanas can help in transforming ones lives especially during a hectic working day.
[EX A]: واضح ہوکہ یہ وزارت نیٹی زینس کے ساتھ آن لائن مقابلوں کے ذریعہ مسلسل کام کرتی رہتی ہے ۔ ogaor9to5زیر نظر وزارت نے ایسے یوگ آسنوں کی انٹریز طلب کی ہیں ، جو خواتین کو کام کی جگہ پر پرسکون رکھتی ہیں ۔اس مقابلے کی آخری تاریخ 21 جون 2018 ہے ۔اس مقابلے میں حصہ لینے کے خواہشمند لوگ اپنی تیار کردہ یوگا کی ویڈیو کی شکل میں یا متعدد تصویرو ں کی شکل میں اپنی درخواست میل کے ذریعہ creatiecorner.
[EX Q]: It will also act as a platform for the officials to share their experiences and better inter-agency coordination with respect to tackling the menace of counterfeiting. Besides people from enforcement agencies, many IP professionals, lawyers, e-commerce stakeholders and people from industry associations are also participating in the conference.
[EX A]: اس سے اہلکاروں کو بھی ایک پلیٹ فارم ملے گا جہاں وہ اپنے تجربات مشترک کرسکیں اور جعل سازی کے مسئلے سے نمٹنے کے لئے مختلف ایجنسیوں کے درمیان بہتر تال میل قائم ہوسکے۔ قانون کا نفاذ کرنے والی ایجنسیوں سے متعلق افراد کے علاوہ متعدد آئی پی پروفیشنلس، وکلاء ، ای- کامرس سے متعلق افراد اور صنعتی تنظیموں سے وابستہ لوگ بھی اس کانفرنس میں حصہ لے رہے ہیں۔
[EX Q]: In order to address these concerns, it is proposed to create a mechanism for self-reporting of estimates of current income, tax payments and advance tax liability by certain taxpayers (companies and tax audit cases) on voluntary compliance basis. The proposed reporting mechanism is sought to be created by way of inserting a new Rule 39A and Form No.
[EX A]: | قابل ذکر ہے کہ حکومت کے لئے ضروری ہے کہ تمام سال ٹیکس مالیہ کی مسلسل آمد رہے تاکہ وہ فلاحی اسکیموں، بنیادی ڈھانچے کی ترقی اور دفاعی اخراجات جیسے کاموں کے لئے بجٹ میں مختص کی جانے والی رقموں کا انتظام کرسکے۔اس کے علاوہ سال کے لئے ٹیکس مالیہ کے پیشگی اندازے سے منصوبہ بندی اور سرکاری کاموں پر ترجیحی بنیاد پر ہونےوالے اخراجات کا بھی اندازہ لگایا جاسکے گا۔
| 6 | NIv2 | task1057_pib_translation_english_urdu | fs_opt | [
-0.19148123264312744,
0.34466588497161865,
-0.5763373374938965,
0.49386119842529297,
-0.4927636384963989,
0.17328833043575287,
0.2031981647014618,
0.9798192381858826,
-0.029067035764455795,
-0.1974094808101654,
-0.2577480375766754,
0.2942480444908142,
-0.5610799193382263,
0.088947266340255... |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the sentence expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link].
[EX Q]: What is the sentiment of the following document towards the entity Carles Puigdemont ? But that hope has fallen flat and in an interview published on Wednesday he renewed criticism of the blocâs executive.
[EX A]: Neutral
[EX Q]: What is the sentiment of the following document towards the entity John Schnatter ? Schnatter has been one of the last CEOs who also act as their brand's advertising pitchman a list that once included Col. Harland Sanders for Kentucky Fried Chicken and Dave Thomas of Wendy's. By stressing that Papa John's had better ingredients and a better tasting product he was able to turn the burgeoning chain into a national force against giants like Domino's Pizza and Pizza Hut.
[EX A]: Positive
[EX Q]: What is the sentiment of the following document towards the entity Bill Cosby ? The prosecutor in the Bill Cosby case asked a Pennsylvania judge to allow testimony from 19 alleged prior victims of the entertainer whose retrial on sex assault charges is set to begin April 2.
[EX A]: | Neutral
| 6 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.5598496198654175,
0.4072328209877014,
0.33464765548706055,
0.26181742548942566,
-0.3274167478084564,
-0.4794433116912842,
0.7416114807128906,
0.5962657928466797,
0.09884022176265717,
0.26740214228630066,
0.04220200330018997,
0.7740709781646729,
-0.19982054829597473,
-0.44363921880722046... |
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 PersonX needs what is mentioned in the Tail before the Head or not. Here need is a precondition for PersonX to achieve the event. For example, in order for PersonX to give PersonY gifts, PersonX must first buy the presents. 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.
[Q]: Head: PersonX goes the way of the dodo<sep>Tail: become weak
[A]: Yes
[Q]: Head: PersonX goes the way of the dodo<sep>Tail: become old
[A]: Yes
[Q]: Head: PersonX dies of cancer<sep>Tail: donate money
[A]: | Yes
| 5 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.8857933878898621,
0.09064745903015137,
0.2850062847137451,
-0.5833869576454163,
-0.42775365710258484,
-1.1851186752319336,
1.1185961961746216,
0.745254635810852,
-0.7593126893043518,
-0.2698214054107666,
-0.7032976746559143,
-0.3739628791809082,
-0.8648738265037537,
0.15114474296569824,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
No hace falta que les diga lo importante que es la comunicación intergeneracional. | Non fai falla que vos diga o importante que é a comunicación entre distintas xeracións. | 0 | NIv2 | task1100_ted_translation_es_gl | zs_opt | [
-1.3373428583145142,
0.7369015216827393,
-0.10789135098457336,
-0.8502441644668579,
-0.4445551931858063,
-0.5883973240852356,
0.4634575843811035,
0.45992887020111084,
-0.4767058491706848,
-0.5894391536712646,
0.055887430906295776,
0.09044377505779266,
-0.49748897552490234,
0.71078121662139... |
Definition: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)
Here are the list of step templates and their description:
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Input: question: what is robert frost 1st ever poem?
Output: | #1 return robert frost
#2 return poems of #1
#3 return the 1st of #2 | 2 | NIv2 | task176_break_decompose_questions | zs_opt | [
1.1949049234390259,
-0.11851665377616882,
-0.7528949975967407,
0.5746051073074341,
0.3390699625015259,
-0.6113343238830566,
1.1348373889923096,
0.08147354423999786,
-0.1998416781425476,
0.4888031482696533,
-0.5539344549179077,
-0.1165739893913269,
-0.028828900307416916,
0.4883800745010376,... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 当局によると、死者と同じく120名ほどの人々が魚を食べた後に病気になった。
A: Kasama na ang mga namatay, humigit-kumulang 120 na katao ang nagkasakit pagkatapos kumain ng isda ayon sa mga opisyales.
****
Q: ナポリターノ長官は、アメリカ合衆国の宣言は病気と戦うために利用できる政府物資をもっと製造するために、そのようなアウトブレイクの「標準処理手順」の先例に従うものだと言った。
A: Sinabi ni Kalihim Napolitano na ang deklarasyon ng Estados Unidos sa pagpuksa ng nakahahawang sakit ay ayon sa "tamang proseso ng pamantayan sa pagpapatupad" upang magamit ang mga kayamanang mayroon sa bansa para labanan ang sakit.
****
Q: キャメロンのスポークスマンは、キャメロンがこのバイクを５年間所有していて、いつも通勤に使っていたと述べた。
A: | Sinabi ng tagapagsalita ni Cameron na 5 taon niyang pagmamay-ari ang bisikleta at ginagamit niya ito palagi para magbisikleta papunta sa trabaho.
****
| 4 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
0.18648846447467804,
-0.5245224237442017,
0.06827396154403687,
-0.720457911491394,
0.3613772690296173,
-0.7030931711196899,
0.5915597081184387,
0.33580097556114197,
-0.5268918871879578,
-0.14367136359214783,
-0.5214841961860657,
0.2864166498184204,
-0.5769583582878113,
0.8386855125427246,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on the topic.
Example: খকুকুর কে লাই দিতে নেই, যদি লাই দেওয়া হয় তাহলে মাথায় ওঠে বসে
Output: non-geopolitical
Here it expresses hate against a person or a community, hence tagged as non-geopolitical.
New input case for you: পাগল দেশ মিয়ানমার আর আজব সবসকাজ করে এ দেশটি।
Output: | geopolitical | 1 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.6074615716934204,
-0.0038815096486359835,
0.6737666130065918,
0.11067704111337662,
-0.34892502427101135,
-0.14036141335964203,
0.13224750757217407,
0.4618000388145447,
-0.2612321376800537,
0.20530147850513458,
-0.3630686402320862,
-0.5619981288909912,
0.05817156285047531,
-0.77372372150... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'.
Ex Input:
Person1: Can I help you , sir ?
Person2:I wish to buy a diamond ring .
Person1: How many carats would you like it to be ?
Person2:I want five carats .
Person1: Is this one suitable for you ?
Person2:No , it seems too old-fashioned to my fiancee .
Person1: What about this ?
Person2:It seems too small for me , haven't you got any larger ones ?
Person1: Then you can buy this one . It's very nice and latest in style .
Person2:Oh , this one is perfect .
Ex Output:
informal
Ex Input:
Person1: Where's your better half ?
Person2:She's at home .
Ex Output:
formal
Ex Input:
Person1: So , how's your work ?
Person2:Good . How about you ?
Person1: I am going to resign . A few of the new staff have already left . Obviously , a lot of similar jobs pay much better salaries .
Person2:But your company is huge . Can't they afford to pay the staff decent wages .
Person1: But we have a policy of paying according to seniority in the company , so new employees get quite low salary , no matter how excellent they have done .
Person2:That's shortsighted . By the time the workers are experienced and contributing . They are likely to go .
Person1: That's why I am going to leave .
Person2:But you have already worked there for five years .
Person1: I am worried about my future . I can't believe that our company is as big as it is . The company can only continue to grow by taking care of its staff .
Person2:Well . The management doesn't seem to think that way . Anyways , you have to think twice before you act .
Person1: Thank you . I will .
Ex Output:
| formal
| 1 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
-0.2443334460258484,
0.39617764949798584,
-0.3377784490585327,
0.11199100315570831,
0.35535159707069397,
-0.1870424896478653,
-0.11686379462480545,
0.846163272857666,
-0.03282848000526428,
0.031251657754182816,
-0.3409954309463501,
-0.14794579148292542,
-0.21976441144943237,
0.111208602786... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 odd 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 odd numbers in an inner list you should output 0 for that list.
[[4, 4, 12, -6], [-9, 5, -6, -1], [8, 3, 9, -5, 1]]
Solution: [0, 45, -135]
Why? The first inner list has no odd integers, so the first number in the output is 0. The second list has -9, 5, -1 for odd integers so the second output is 45. The third list has 3, 9, -5, 1 as even numbers so the third output is -135. This is a good example.
New input: [[-6, 28, -17, -20, 41], [-25, -33, 28], [-36, -20, -36], [49, -4, 5], [47, 0, -44, -10, -40], [-11, 11, 21], [-8, 36], [-20, 9], [-14, -48, -33], [22, 21, -49, 17, -48], [-24, -11, 7, -12, -5], [24, 23]]
Solution: | [-697, 825, 0, 245, 47, -2541, 0, 9, -33, -17493, 385, 23] | 0 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.13360285758972168,
-0.24771830439567566,
-0.8480297327041626,
0.08573031425476074,
0.3168260157108307,
-0.1485091745853424,
1.2846083641052246,
0.8516047596931458,
-0.6644425988197327,
-0.055176615715026855,
-1.0355409383773804,
-0.5946890115737915,
-0.13721752166748047,
-0.2619750201702... |
In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Fred and his friend decided to climb a tree. Fred was halfway up when something was wrong. He foot lost balance and he fell. Thankfully his dad saw him and got help. He took him to the doctors to get checked.
Why did Fred and his friend decide to climb a tree? | Answerable | 0 | NIv2 | task290_tellmewhy_question_answerability | zs_opt | [
-0.30735358595848083,
0.4888768494129181,
0.5051008462905884,
-0.3871884047985077,
-0.43777182698249817,
-0.49472546577453613,
0.9401444792747498,
0.4120282232761383,
0.05476854741573334,
-0.2865055799484253,
-0.7022596597671509,
-0.17185579240322113,
-0.738573431968689,
0.2175868451595306... |
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".
Q: Tweet: is relief that socks is rocking n eating again Question: is it a negative tweet?
A: no
****
Q: Tweet: @EvilNanny @Bathbad top of the morning both was beginning to think I was alone work what a distraction Question: is it a positive tweet?
A: no
****
Q: Tweet: goodnight everyone, Iowa City... I will see you tomorrow night!!! Lukester.... woo hoo!!! Question: is it a positive tweet?
A: | yes
****
| 4 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-0.8088542819023132,
0.7386364936828613,
0.09576356410980225,
0.3868789076805115,
-0.48087191581726074,
-0.6050208806991577,
0.640061616897583,
0.691520094871521,
-0.2682124078273773,
0.2873835563659668,
-0.14265109598636627,
-0.048663921654224396,
-0.3070984482765198,
-0.55025714635849,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.