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 |
|---|---|---|---|---|---|---|
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Let me give you an example: 7
The answer to this example can be: Yes
Here is why: 7 is a prime number as it has no factors greater than 1. So, it can't be made by multiplying other whole numbers and the answer is 'Yes'.
OK. solve this:
85330
Answer: | No | 8 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.3203604221343994,
1.258180856704712,
0.08733732998371124,
0.1422835886478424,
-0.12035350501537323,
-0.5264824628829956,
0.7784793376922607,
0.9357339143753052,
0.4727171063423157,
-0.3147071599960327,
-0.45569878816604614,
0.0755830854177475,
-0.5989818572998047,
-0.008581162430346012,... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Sentence: 'a countertop holding a chicken and a bundt cake'. How many words start with the letter 'a' in the sentence.
Output: | 4 | 1 | NIv2 | task162_count_words_starting_with_letter | zs_opt | [
0.14707404375076294,
0.6659260988235474,
-0.23301929235458374,
-0.7058157324790955,
-0.4991862177848816,
0.31594419479370117,
0.2847268581390381,
0.433000773191452,
0.4453577995300293,
-1.0295968055725098,
-0.05520205199718475,
-0.20701105892658234,
-0.3208935260772705,
0.16908103227615356... |
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 passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Passage: I submitted the hit. The hit was approved, and then I was paid. Question: What happened after I submitted the hit? Events: ['submitted', 'approved', 'paid'].
Solution: approved, paid
Why? From the passage, we can infer that events approved and paid happened after the event submitted. Therefore, the answer to this question is "approved, paid".
New input: Passage: But the great-uncle of 6-year-old shipwreck survivor rafter Elian Gonzalez only ducked his head and walked faster. In a drama that has divided his once close-knit family and may finally be resolved in a court hearing the week of March 6, Manuel Gonzalez, 59, a soft-spoken bus mechanic, has remained largely out of the glare of television lights. Question: What happened after Elian Gonzalez ducked his head? Events: ['shipwreck', 'ducked', 'walked', 'drama', 'divided', 'family', 'resolved', 'hearing', 'remained']
Solution: | remained | 0 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.5532146692276001,
0.273958683013916,
0.11989711225032806,
-0.16042503714561462,
-0.07293373346328735,
-0.12391985952854156,
0.918449878692627,
0.97893226146698,
-0.763913631439209,
0.1137063279747963,
-0.14043587446212769,
0.043820787221193314,
-0.45080405473709106,
0.22250618040561676,
... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
round_eq { avg { all_rows ; results } ; 66 % }
| aggregation | 5 | NIv2 | task212_logic2text_classification | zs_opt | [
-0.02768414467573166,
-0.30772829055786133,
-0.14506205916404724,
0.3342053294181824,
0.48613274097442627,
-0.3855985999107361,
0.646933913230896,
0.523573637008667,
0.49663692712783813,
-0.10475419461727142,
-0.20093488693237305,
0.20054902136325836,
-0.012346196919679642,
0.5196730494499... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
[EX Q]: Article: zimbabwe 's leaders signed a historic deal on monday that will see president robert mugabe share power with his bitter arch-rival in a bid to end a ruinous political crisis . Title: zimbabwe political rivals sign historic power-sharing deal
[EX A]: yes
[EX Q]: Article: kuwaiti stocks ended the week through thursday down six percent on lack of cashflow drained by huge ipos and a strict monetary policy to combat inflation , analysts said . Title: kuwaiti shares nosedive on cash drain
[EX A]: yes
[EX Q]: Article: world oil prices were mixed in asian trade monday as investors reacted to moves by the us to help investment banks goldman sachs and morgan stanley survive a financial crisis that has shaken global markets , dealers said . Title: world oil prices mixed in asian trade
[EX A]: | yes
| 6 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.3470245897769928,
-0.15706372261047363,
-0.36396345496177673,
0.3254822790622711,
-0.19458888471126556,
-0.3947451710700989,
0.27319663763046265,
0.4283358156681061,
-0.2501705288887024,
0.2725283205509186,
-0.3541967272758484,
0.2517590820789337,
-0.3774542808532715,
-0.126962006092071... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and Personal depending on the topic.
Problem:তথ্য ও যোগাযোগ প্রযুক্তি ব্যবহার করে গোপন কাজ সাড়ল ছেলেটি
Solution: | Personal | 8 | NIv2 | task1494_bengali_hate_speech_classification | zs_opt | [
-0.472780704498291,
0.6387895345687866,
0.09192349016666412,
0.37907207012176514,
-0.5990742444992065,
-0.43999814987182617,
0.6605803966522217,
-0.10177084803581238,
-0.41596776247024536,
-0.28031331300735474,
-0.5651707053184509,
0.19491055607795715,
0.08489513397216797,
-0.6980587244033... |
Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Ex Input:
news:The Company serves approximately 3,000 customers in over 100 countries .
polarity:neutral
Ex Output:
true
Ex Input:
news:Finnish electronics manufacturer PKC Group Oyj ( OMX Helsinki : PKC1V ) said on Wednesday ( 31 December ) that it has completed the acquisition of MAN Nutzfahrzeuge AG 's cable harness business from MAN Star Trucks & Buses Spolka zoo in Poland .
polarity:positive
Ex Output:
true
Ex Input:
news:The long-standing partnership and commitment enable both parties to develop their respective operations , and ESL Shipping will also have the opportunity to update its fleet and improve its efficiency .
polarity:positive
Ex Output:
| true
| 1 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.4256138503551483,
0.33942222595214844,
-0.6200059652328491,
0.1984180361032486,
-0.4957371652126312,
-0.0608544647693634,
0.8134335279464722,
0.023845180869102478,
-0.27736735343933105,
0.1172264814376831,
0.0510089136660099,
0.00810784287750721,
0.016179576516151428,
0.2538701891899109... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
One example: Comment: It's bad enough we already have all these American sicko's living in this country shooting up theatre, schools, churches, malls, etc., we don't have room for crazy muslims.
Solution is here: Identity-attack
Explanation: This comment contains identity attacks on both American and Muslim.
Now, solve this: Comment: That is extremely rare...sorry I don't buy that excuse. I have very little sympathy for criminals.
Solution: | Non-identity-attack | 6 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.2973310053348541,
0.26898324489593506,
0.6948682069778442,
0.6152960062026978,
0.053485751152038574,
-0.1318071484565735,
0.8506544828414917,
-0.01896560564637184,
0.3933488130569458,
0.5244795083999634,
0.058985501527786255,
-0.39498794078826904,
-0.5745234489440918,
-0.935681462287902... |
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Let me give you an example: De Britse premier David Cameron noemt de TTIP een ‘once in a generation prize’ en wijst op de potentiele winst van 80 miljard pond (125,5 miljard dollar) voor zowel de EU en de VS en 85 miljard pond voor de rest van de wereld.
The answer to this example can be: O Primeiro-Ministro britânico, David Cameron, designou a TTIP como “uma recompensa que surge apenas uma vez ao longo de uma geração”, referindo os ganhos potenciais no valor de 80 mil milhões de libras esterlinas (125,5 mil milhões de dólares) para a UE, um montante idêntico para os EUA e 85 mil milhões de libras esterlinas para o resto do mundo.
Here is why: The given translation is precise and accurate with proper nouns preserved.
OK. solve this:
De landen binnen de EU hebben twee opties: Of ze kunnen een ijdele poging doen om terug te vallen op gedateerde, mono-etnische staatsmodellen of ze kunnen diversiteit accepteren met het besef dat hun nationale culturen niet alleen zullen overleven, maar zelfs op zullen bloeien.
Answer: | Os países da UE têm duas opções: ou podem fazer uma vã tentativa de voltar aos ultrapassados modelos monoétnicos de estado, ou podem aceitar a diversidade com a compreensão de que as suas culturas nacionais não apenas irão sobreviver, mas florescer. | 8 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.5300617814064026,
0.7507097125053406,
0.20189589262008667,
0.005154847167432308,
-0.23863905668258667,
0.18771269917488098,
-0.2914963662624359,
0.9397528171539307,
0.40168496966362,
0.004053072538226843,
-0.32805144786834717,
0.7858474850654602,
-0.7201030254364014,
-0.0466296449303627... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Ex Input:
Tagalog sentence: Kung ang mga ito ay katunayan na sila lalabas namin maaaring sabihin na may katiyakan na Hipparchus ay sa Alexandria sa 146 BC at sa Rhodes malapit sa katapusan ng kanyang karera sa 127 BC at 126 BC.
Ex Output:
If these are indeed as they appear we can say with certainty that Hipparchus was in Alexandria in 146 BC and in Rhodes near the end of his career in 127 BC and 126 BC.
Ex Input:
Tagalog sentence: Kung hindi makapagpasiya, maaaring humanap ng legal na kasunduan at humingi ng pangsapilitang kabayaran ng sustento at pamamahagi ng ari-arian ayon sa batas ng Japan . Ito ang batas na pinaiiral sa paghihiwalay ng isang Hapones at isang dayuhan. na naninirahan sa Japan.
Ex Output:
If you fail to reach an agreement, you can seek legal settlement and demand the payment of alimony and the distribution of property under Japanese law, which is the applicable law in cases of divorce between a couple composed of a Japanese national and a foreigner who have their domicile in Japan.
Ex Input:
Tagalog sentence: 8At sinabi ng Panginoon sa akin, Amos, anong iyong nakikita? At aking sinabi, Isang pabatong tingga.
Ex Output:
| 8And the LORD said unto me, Amos, what seest thou? And I said, A plumbline.
| 1 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.5530431270599365,
0.08374330401420593,
0.05133267492055893,
-0.21271666884422302,
0.22243419289588928,
-0.5622515678405762,
0.18406268954277039,
0.5416206121444702,
0.04485711082816124,
-0.0215558260679245,
-0.20791089534759521,
0.018339449539780617,
-0.336238294839859,
-0.21541750431060... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Example Input: ומסתבר שהתשובה היא שבגלל שהמח שלהם ארוז בתוך הגלגולת שלהם בדרך שונה מזו שהמוחות שלנו, כלומר אנחנו בני האדם, באמת, שהמוחות שלנו ארוזים.
Example Output: E resulta que a resposta é que os seus cerebros están colocados nos seus cranios dun modo diferente a como os seres humanos temos empaquetados os nosos cerebros.
Example Input: דמיינו פתית שלג בידכם, ואתם מביטים בו, והוא מורכב להפליא, עצם מופלא. אבל כשאתם מחממים אותו, הוא נמס לשלולית מים, ואתם יכולים לראות שבעצם הוא היה עשוי מחמצן דו מימני, מים.
Example Output: imaxina un floco de neve na tua man, míralo e é un obxecto increíblemente compricado e belo. Pero se o quentas derretirase nunha poza, e poderás ver que en realidade estaba feito só de H2O, auga.
Example Input: הייתי צריך לעשות את זה טוב.
Example Output: | Tiña que facelo ben.
| 3 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.9675170183181763,
0.5213214159011841,
0.4847991168498993,
-0.4517934322357178,
-0.46079206466674805,
-1.2365306615829468,
0.8350305557250977,
0.25399309396743774,
0.13071173429489136,
-0.40436503291130066,
-0.7034592628479004,
0.30085060000419617,
-0.7624993324279785,
0.4251440167427063... |
instruction:
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
question:
Gujarati: જેટ એરલાઇનર એક એરપોર્ટ પર ડામર કપાળ પર બેસે છે.
English: A jet airliner sits on the tarmac at an airport.
answer:
Yes
question:
Gujarati: બાથરૂમમાં ટોઇલેટની ટોચ પર એક ટીશ્યુ બોક્સ.
English: A group of bikers traveling down a road past a store.
answer:
No
question:
Gujarati: ઘણાં બૉક્સમાં વ્યસ્ત શેરીમાં મોટરબાઈક લાઇન છે.
English: A lot of motorbikes line up down a busy street.
answer:
| Yes
| 9 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-0.478922039270401,
0.2105497419834137,
-0.17818377912044525,
0.10504142940044403,
0.42923372983932495,
-0.7200852632522583,
0.12225178629159927,
0.5557318925857544,
0.06780114769935608,
0.18170946836471558,
0.16744345426559448,
0.6394005417823792,
-0.5712465643882751,
0.06069238483905792,... |
Q: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Context: Unix (trademarked as UNIX) is a family of multitasking, multiuser computer operating systems that derive from the original AT&T Unix, developed starting in the 1970s at the Bell Labs research center by Ken Thompson, Dennis Ritchie, and others., The Apache Software Foundation (ASF) is an American non-profit corporation (classified as 501(c)(3) in the United States) to support Apache software projects, including the Apache HTTP Server. The ASF was formed from the Apache Group and incorporated in Delaware, U.S., in June 1999., Apache Tomcat, often referred to as Tomcat Server, is an open-source Java Servlet Container developed by the Apache Software Foundation (ASF). Tomcat implements several Java EE specifications including Java Servlet, JavaServer Pages (JSP), Java EL, and WebSocket, and provides a "pure Java" HTTP web server environment in which Java code can run., JavaServer Pages (JSP) is a technology that helps software developers create dynamically generated web pages based on HTML, XML, or other document types. Released in 1999 by Sun Microsystems, JSP is similar to PHP, ASP and React's JSX but it uses the Java programming language., Dennis MacAlistair Ritchie (September 9, 1941 October 12, 2011) was an American computer scientist. He created the C programming language and, with long-time colleague Ken Thompson, the Unix operating system. Ritchie and Thompson received the Turing Award from the ACM in 1983, the Hamming Medal from the IEEE in 1990 and the National Medal of Technology from President Bill Clinton in 1999. Ritchie was the head of Lucent Technologies System Software Research Department when he retired in 2007. He was the "R" in K&R C, and commonly known by his username dmr., Nokia Bell Labs (formerly named AT&T Bell Laboratories, Bell Telephone Laboratories and Bell Labs) is an American research and scientific development company, owned by Finnish company Nokia. Its headquarters are located in Murray Hill, New Jersey, in addition to other laboratories around the rest of the United States and in other countries., Kenneth Lane "Ken" Thompson (born February 4, 1943), commonly referred to as ken in hacker circles, is an American pioneer of computer science. Having worked at Bell Labs for most of his career, Thompson designed and implemented the original Unix operating system. He also invented the B programming language, the direct predecessor to the C programming language, and was one of the creators and early developers of the Plan 9 operating systems. Since 2006, Thompson has worked at Google, where he co-invented the Go programming language., Apache Ant is a software tool for automating software build processes , which originated from the Apache Tomcat project in early 2000 . It was a replacement for the unix make build tool , and was created due to a number of problems with the unix make . It is similar to Make but is implemented using the Java language , requires the Java platform , and is best suited to building Java projects . The most immediately noticeable difference between Ant and Make is that Ant uses XML to describe the build process and its dependencies , whereas Make uses Makefile format . By default the XML file is named build.xml . Ant is an Apache project . It is open source software , and is released under the Apache License ., Subject: apache ant, Relation: developer, Options: (A) apache software foundation (B) at & t (C) bell labs (D) ken thompson (E) nokia (F) sun microsystems
A: | apache software foundation | 7 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.15318843722343445,
0.18998850882053375,
-0.06100402772426605,
0.4453490376472473,
0.28769779205322266,
-0.6860818266868591,
0.9506136775016785,
0.9558577537536621,
-0.2812846899032593,
0.6972676515579224,
0.24627025425434113,
0.5525842905044556,
-0.5129718780517578,
0.3615017831325531,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
During the next two years she was in the chorus of the Vari*t*s and the Folies Berg*re. In 1905 Delysia was one of the French ``Gibson Girls'' in The Catch of the Season at Daly's Theatre, New York, with Edna May in the leading role. _She_ moved to London, where she continued to appear on the stage until 1909, when she temporarily abandoned the theatrical profession. <sep>, Pronoun: She
Output: | Delysia | 1 | NIv2 | task330_gap_answer_generation | zs_opt | [
0.35637450218200684,
0.7551857233047485,
-0.21805594861507416,
0.09945563226938248,
0.09673795104026794,
-0.3507506847381592,
0.7008109092712402,
0.03896760195493698,
0.24507078528404236,
0.32471027970314026,
-0.20117956399917603,
0.06319919228553772,
-0.3182171583175659,
-0.07618591934442... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Input: Comment: what are you talking about
Trumps extreme vetting would haev picked this turd out in seconds.......
He's got a rap sheet as long as Hitlers
idiot
Output: | Insult | 2 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.6399179697036743,
0.6359503269195557,
0.6397868394851685,
0.757219672203064,
-0.17537641525268555,
-0.21877005696296692,
0.6771910190582275,
0.6840925812721252,
0.5397055149078369,
0.2043340504169464,
-0.020694244652986526,
0.02152790129184723,
-0.49111777544021606,
-0.6480011343955994,... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
A: true
Rationale: The writer mentions emotions like hating so it is clearly a hate speech.
Q: Tweet: @bellaangeletti no ud still be a fag if I was lolz
Label: Hate Speech
A: | true | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.2905675172805786,
0.746729850769043,
0.5812007188796997,
0.13370102643966675,
-0.7596373558044434,
-0.7796008586883545,
0.2850380837917328,
0.5212489366531372,
0.2825842499732971,
0.1897926926612854,
-0.30469876527786255,
-0.1606752574443817,
-0.7166668176651001,
-0.3769409656524658,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
[EX Q]: אבל אנחנו פשוט חרשים לערך הזה.
[EX A]: Pero nosotros seríamos literalmente sordos a tal tipo de valor.
[EX Q]: מוטורולה מייצרת את הטלפון הנפוץ ביותר, ואתם יכולים לראות שהם בשימוש השרות החשאי, בלחימה, זה תקן מאוד מאוד נפוץ בארה "" ב ובארצות אחרות.
[EX A]: Motorola fabrica uno de los más utilizados, y Uds. pueden ver que son utilizados por el Servicio Secreto y también en combate, es un estándar bastante, bastante común en EE.UU. y en otros lugares.
[EX Q]: חזרו 200 שנה לתקופה בה העבדות היתה תחת מאבקם של ויליאם וילברפורס ומפגינים נוספים.
[EX A]: | Regresemos 200 años atrás cuando el comercio de la esclavitud estaba bajo presión de William Wilberforce y todos los manifestantes,
| 6 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.7883129119873047,
0.8976885080337524,
-0.07612504065036774,
-0.390830397605896,
-0.22264941036701202,
-0.5320137739181519,
0.13383354246616364,
0.24620330333709717,
0.7922253608703613,
-0.4279472827911377,
-0.9498586058616638,
0.565308153629303,
-0.178165003657341,
-0.24222952127456665,... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Example: We notice a man in a kayak and a yellow helmet coming in from the left. As he approaches, his kayak
Example solution: flips upside - down
Example explanation: Flipping of the kayak is a probable event. It is a logical next statement, given the context.
Problem: A woman is seen speaking to the camera in a dealership and leads into several close ups of a car. The woman then
| Solution: presents various tools and begins taking off the tire off of the car. | 5 | NIv2 | task453_swag_answer_generation | fs_opt | [
-0.2498234063386917,
0.2782525420188904,
-0.335947722196579,
-0.23674258589744568,
-0.2499333918094635,
-0.1433826982975006,
-0.1256123185157776,
0.6914867162704468,
0.2807786464691162,
0.18047133088111877,
0.0028870729729533195,
0.0234384723007679,
-0.41081535816192627,
0.3584381937980652... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Q: Context: Robin knew they would give up eventually, so they just went ahead and gave up now.
Question: Why did Robin do this?
Options: (A) plan their suicide (B) succeed after trying really hard (C) stop putting in pointless energy
A: | A | 4 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
0.030753325670957565,
0.8510048985481262,
0.603644609451294,
-0.41234707832336426,
-0.22936467826366425,
-0.21952733397483826,
0.7151694297790527,
0.4325113296508789,
0.21198327839374542,
-0.13678070902824402,
-0.7307007908821106,
0.025219805538654327,
0.13092024624347687,
-0.2623677551746... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Input: De xeito que os monos quedaron eivados, xa non eran quen de mover a man.
Output: | So the monkeys were plegic, they could not move their hand anymore. | 2 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
0.689635157585144,
0.8085052371025085,
-0.2619771659374237,
-0.9500986337661743,
-0.2289935201406479,
-1.6066584587097168,
0.034211236983537674,
1.0447494983673096,
-0.5460402965545654,
0.015205837786197662,
-0.6303281784057617,
-0.0012483116006478667,
-1.0977287292480469,
0.31510162353515... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
--------
Question: 12, 17, ['k', '9879', 'R', '2595', 'c', 'p', '3825', 'y', 'i', '6281', '927', 's', '5407', '9137', 'F', '8207', 'L', 'I']
Answer: 22751
Question: 6, 7, ['k', 'F', 'I', '1481', 'v', '5085', 'V', '9661', '525']
Answer: 5085
Question: 1, 10, ['3377', '6919', '3159', '7381', 'i', '4245', 'Q', 'j', '7303', 'n']
Answer: | 32384
| 7 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.054382748901844025,
0.0236353762447834,
-0.6099085807800293,
-0.4124101400375366,
-0.31732726097106934,
-0.35084372758865356,
0.9988815784454346,
0.3286179304122925,
-0.4931202232837677,
-0.010541098192334175,
-0.9500717520713806,
0.5534362196922302,
-0.21142911911010742,
0.250295996665... |
TASK DEFINITION: In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
PROBLEM: Article: When Juliet was a child, she often went to the city park and played with her friends. On a sunny morning, when Juliet came to the park with her mum, she looked around and felt very unhappy. "What's the matter, dear?" asked her mum. Juliet replied, "Mum, there's so much trash on the ground." Juliet's mum looked around. There was paper, boxes and glass bottles everywhere. "What can we do?" asked Juliet. "I'm sure you will think of something," said her mum. As soon as Juliet and her mum went home, Juliet painted a picture of the park and wrote a sign in large black letters at the top of the picture. The sign read "PLEASE KEEP OUR PARK CLEAN". Later, she took plenty of bags and went back to the park with her mum. Juliet put up her picture on a big trash can . "Will you help me pick up the trash, Mum?" Juliet said as she handed her mum a bag. "I sure will," replied her mum. The children at the park ran over to see what was going on. Juliet handed them each a bag. "Let's clean this place up," said Juliet. Then they began to pick up the trash, talking and laughing. Soon all the bags were full. "We need to come back another day. There's still some trash on the ground, but the park looks much better," said Juliet. Her mum said, "So it does. _ "
Answer: Because there was too much trash at the park.
SOLUTION: Why was Juliet sad?
PROBLEM: Article: The language used by scientists to explain complex ideas can be difficult and sometimes even boring. The language, with its Latin words and long scientific terms, could be one reason some people avoid learning about science, especially children. American Danielle Dixson is a marine biologist. She wants to make science fun for children. Dixson has turned that idea into a series of children's books. The nine books are written so that her research is easy to understand. "I just don't really think kids should be left out of it and I thought that story books may be one of the easiest ways to sort of captivate them and have them understand." Danielle Dixson is an assistant professor at the University of Delaware. Dixson says another goal of her science writing is to help increase understanding of the ocean environment. She spent almost two years in the South Pacific working on her post-doctoral research. She went to the island nation of Fiji to investigate coral reefs that are collapsing or, as she says, degrading. The goal of her research is to identify why some healthy coral reefs are breaking down. She also wants to find out how this degradation affects fish that live in and around the reefs. "A number of the reefs are converting from being, you know, these beautiful coral reef systems that have a lot of holes for animals to hide in, into reefs that the coral's degrading and collapsing and then there is not as much hiding spaces for fishes and things like that." Early in her research, Dixson made some videos for people in Fiji. The videos explained her work to the local community. She says she wanted them to understand how her research would help them. For the local children, Dixson started making books explaining her work. This helped to keep them from walking through her "laboratory" - baby pools filled with water she was using for her experiments. "I was living, actually, in the village with some of the locals. It was a lot easier to get research done if they understood what I was doing and how it would help them. And one of the ways that I was able to connect with the adults was I would make these videos for them. And then I started making children's books for the kids so that they would have a better idea of why I was there, so that when I ask them not to walk through the baby pools I was using for experiments or something like that, that that would actually happen." she added. When Dixson returned to the United States, she started doing the same thing for children in this country. She uses color1ful story books to capture the imagination of children. While she has their attention, she provides very useful information about science. As a marine scientist, Dixson wants her stories to be both educational and inspirational, serving as an agent for change. She also includes in her books "a call to action," asking readers what they can do to make a difference. "One of the things I do in those story books is I have a last page. And the last page talks about what you can do to help. You know, there is a lot of things that even a 6-year-old is able to do, whether it's shutting your lights off when you leave a room, or riding your bike to your friend's house instead of having your parents drive you. There is a lot of stuff that they can do and still feel they're making a difference." Danielle Dixson's books shine a light on the environmental problems facing our world's oceans. They also make science fun and understandable for children. But her books may have an unintended consequence, something she may not have planned on.
Answer: People don't need to understand science at all.
SOLUTION: What may lead to people's negative attitude toward science learning?
PROBLEM: Article: While every dog owner knows their dogs can read their moods perfectly, scientists have always been a piffle doubtful.Now thanks to some researchers at the University of Veterinary Medicine in Vienna, Austria; we finally have some convincing evidence. For their study, biologist Corson Miller and his team exposes eleven selected dogs to digital images of women that were either angry or happy.Half the dogs were rewired for touching the screen when shove a happy face, while the other half gilt their treat for selecting those that appeared angry. Interestingly, the dogs were not provided with the entire face.Some dogs were show Ti only upper halves while the others observed lower halves.That's because the scientists believe humans show their eruptions on their equities face. After some training ill.e how to recognize small differences like the wrinkles between the eyes or the changes in their shape that accompany the happy or angry expressions, the dogs were mostly able to identify the correct expression not only on a familiar face but on a strange face, the researchers concluded the dogs were smart-enough to read human emotions. They also found those being trained to read angry expressions took a longer time to learn.They guess it may be because dogs find angry faces disgusting, causing them to withdraw quickly.However, once the smart dogs realized they were getting rewired, the trepidation seem end to disappear.In fact, the dogs had such a good time playing the computer "game" That scientists had a hard time keeping them away from the touch screens after the study was completed. The researchers also noticed only dogs with a male owner had a harder time understanding the expressions correctly.Since the touches careen models were all females, this confirmed what has been observed in previous studies-dogs are more efficient at reading facial expressions of people that are the serene gender as their owner.
Answer: By showing digital pictures of women's happy or angry faces.
SOLUTION: | How did the scientists conduct the experiment?
| 8 | NIv2 | task311_race_question_generation | fs_opt | [
0.25761163234710693,
-0.09753109514713287,
-0.6088637113571167,
-0.7432848215103149,
0.1707097291946411,
-0.2466931939125061,
0.45958569645881653,
0.279392808675766,
-0.4904155135154724,
0.09119105339050293,
0.22686806321144104,
0.4459978938102722,
-0.6716391444206238,
0.2281131148338318,
... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Adolfo_Suárez_Madrid–Barajas_Airport | location | Paracuellos_de_Jarama
Adolfo_Suárez_Madrid–Barajas_Airport | elevationAboveTheSeaLevel_(in_metres) | 610.0 | Adolfo Suarez Madrid-Barejas airport is located at Paracuellos de Jarama at an elevation of 610.0 metres above sea level. | 0 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.660660982131958,
0.7962748408317566,
-0.5621814727783203,
-1.0339844226837158,
-0.1652469038963318,
0.34270039200782776,
1.0825395584106445,
0.08877001702785492,
-0.41654032468795776,
-0.26818719506263733,
-0.8327491283416748,
0.15330827236175537,
-0.4732869267463684,
-0.037704423069953... |
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 integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[1, 8, 0, 2, 9]
Solution: [8, 0, 2]
Why? 1 and 9 are removed from the list because they are odd numbers.
New input: [-95, 21, -25, -45, -20, -49, -39]
Solution: | [-20] | 0 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.526781439781189,
0.6838172674179077,
-0.3023964464664459,
-0.5194419622421265,
0.08989966660737991,
-0.02169205993413925,
0.757644772529602,
0.5463629961013794,
0.2746385335922241,
0.3818197548389435,
-0.6224719882011414,
-0.8464245200157166,
-0.08212599158287048,
-0.06835391372442245,
... |
Detailed Instructions: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
See one example below:
Problem: news:According to Gran , the company has no plans to move all production to Russia , although that is where the company is growing .
polarity:neutral
Solution: true
Explanation: Although the author uses negative words like 'no' in the news, there is no evidence of the news begin positive or negative for any stakeholder. Hence, the polarity is neutral and the output is True.
Problem: news:In 2007 , the Group 's net sales stood at EUR 22 million and it had about 150 employees at the end of June , 2008 .
polarity:neutral
Solution: | true | 4 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.4215245842933655,
0.26339423656463623,
-0.30195412039756775,
0.5818744897842407,
-0.3417886197566986,
-0.653136134147644,
0.16303925216197968,
0.9814502596855164,
0.3612715005874634,
0.0009785639122128487,
-0.26749080419540405,
0.15113312005996704,
-0.05019573122262955,
-0.2883833348751... |
Teacher: A text is given in Bengali. Translate it from the Bengali language to the English language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
দরিদ্র, প্রান্তিক এবং দেশের পল্লী অঞ্চলের সেবায় তিনি ছিলেন সংকল্পবদ্ধ, যা আমাদের নিরন্তরভাবে প্রেরণা যুগিয়ে গেছে”।
Solution: He was determined by poor, marginalized and in the service of the country's rural areas, which has been motivated in our continuous motivation ".
Reason: Correct translation for given sentence. Input sentence means 'He was determined by poor, marginalized and in the service of the country's rural areas, which has been motivated in our continuous motivation ".' which is the same as the output sentence.
Now, solve this instance: তিনি বলেন, প্রযুক্তি যতই গুরুত্বপূর্ণ হোক না কেন, গুগল কখনও গুরুর বিকল্প হতে পারেনা।
Student: | Technology is also important, but Google can never replace Guru, he added. | 2 | NIv2 | task995_pib_translation_bengali_english | fs_opt | [
-1.0026918649673462,
0.08719176054000854,
0.6858237385749817,
-0.909453809261322,
0.36042529344558716,
-0.9357255697250366,
0.37901124358177185,
0.24722832441329956,
-0.48084962368011475,
0.330093115568161,
-0.39885491132736206,
0.21513420343399048,
-0.6045241355895996,
-0.3779594898223877... |
Teacher:Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
Teacher: Now, understand the problem? Solve this instance: Name actor Von Ryan's Express, The Third Man, Brief Encounter?
Student: | film | 6 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
0.3519349694252014,
0.14647124707698822,
-0.14596503973007202,
-0.6546726226806641,
0.7666246891021729,
-0.2742193937301636,
0.5210004448890686,
0.35385245084762573,
-0.3421505093574524,
-0.30077415704727173,
-0.1801682412624359,
-0.0595167875289917,
-0.5182583332061768,
-0.216988205909729... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Imagínense unos sensores en la mano que tocan y presionan sobre la nueva piel.
A: | تخيلوا لو أن هناك حساسات صناعية في اليد تنقل الإشارة إلى الصدر وتضغط حيث تلك الماسحات العصبية. | 7 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.8562040328979492,
0.8683394193649292,
-0.2446150928735733,
-1.1272059679031372,
-0.3248143196105957,
-0.39507895708084106,
0.6862231492996216,
0.7341482639312744,
0.8189826011657715,
0.24062204360961914,
-0.07353699207305908,
0.6378490924835205,
-0.5027140378952026,
0.2402215451002121,
... |
Detailed Instructions: 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.
Q: I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_JUMP
A: | look right twice and jump | 9 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.07494582235813141,
1.154740810394287,
-0.33846428990364075,
-0.227563738822937,
-0.07473385334014893,
0.5644294023513794,
0.1235579177737236,
0.5742526054382324,
-0.440099835395813,
-0.4246785044670105,
-0.7596803903579712,
-0.11048319935798645,
-0.7514667510986328,
0.12555468082427979,
... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
See one example below:
Problem: ['238', 'h', '92', 'U', '2799']
Solution: 3129
Explanation: Here, the numbers in the input list are '238', '92' and '2799', hence their sum (238+92+2799) is 3129.
Problem: ['r', 'K', '2037', 'N', '6351']
Solution: | 8388 | 4 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.618057370185852,
0.6626118421554565,
-0.562388002872467,
-0.6374636888504028,
-0.37999868392944336,
-0.0547613799571991,
0.01115492545068264,
-0.23828604817390442,
-0.7512186169624329,
-0.17837516963481903,
-0.7866369485855103,
-0.07680129259824753,
0.1627502739429474,
0.100288510322570... |
Given the task definition, example input & output, solve the new input case.
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
Example: ['hey', 'everybody', 'ivan', 'from', 'weights', 'and', 'biases', 'here', 'in', 'this', 'video', "i'd"]
Output: ['CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'CASE_DIFF', 'UNKNOWN_TYPE_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF']
This sentence is a good example since the input stream is a grammatically incorrect statement and the output labels correctly classify the words that were incorrect.
New input case for you: ["we're", 'in', 'San', 'Lorenzo', 'in', 'Florence', 'in', 'the', 'old', 'sacristy', "that's", 'a', 'room', 'that', 'is', 'traditionally', 'used', 'in', 'a', 'church', 'for', 'the', 'priests', 'to', 'vest', 'that', 'is', 'to', 'put', 'on', 'the', 'garments', 'for', 'a', 'religious', 'ritual', 'but', 'in', 'this', 'case', 'it', 'was', 'intended', 'to', 'be', 'a', 'mausoleum', 'for', 'the', 'founder', 'of', 'the', 'Medici', 'dynasty', 'divided', 'dbt', 'de', 'Medici', "who's", 'buried', 'here', 'along', 'with', 'his', 'wife', 'in', 'the', 'early', '1400s', 'when', 'a', 'group', 'of', 'people', 'decided', 'to', 'rebuild', 'the', 'church', 'that', 'was', 'here', 'the', 'families', 'contributed', 'money', 'no', 'it', "wasn't", 'that', 'they', 'were', 'chipping', 'in', 'each', 'was', 'in', 'control', 'of', 'its']
Output: | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'STEM_BASED_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'INTRAWORD_PUNC_DIFF'] | 1 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.3324626088142395,
-0.048253484070301056,
-0.22897997498512268,
0.30940091609954834,
0.5289685130119324,
-0.5700775384902954,
0.5215996503829956,
1.1133365631103516,
-0.33597975969314575,
0.237909197807312,
0.2522822618484497,
0.00497710146009922,
-0.17986145615577698,
0.10967931151390076... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Input: Consider Input: Article: It was something she had dreamed of since she was five. Finally, after years of training and intensive workouts, Deborah Duffey was going to compete in her first high school basketball game. The goals of becoming an outstanding player and playing college ball were never far from Deborah's mind. The game was against Mills High School. With 1 minute and 42 seconds left in the game, Deborah's team led by one point. A player of Mills had possession of the ball,and Deborah ran to guard against her. As Deborah was running to block the player, her knee went out and she fell down on the court in burning pain. Just like that, Deborah's season was over. After suffering the bad injury, Deborah found that, for the first time in her life, she was in a situation beyond her control. Game after game, she could do nothing but sit on the sidelines watching others play the game that she loved so much. Injuries limited Deborah's time on the court as she hurt her knees three more times in the next five years. She had to spend countless hours in a physical clinic to receive treatment. Her frequent visits there gave her a passion and respect for the profession. And Deborah began to see a new light in her life. Currently as a senior in college, Deborah focuses on getting a degree in physical treatment. After she graduates, Deborah plans to use her knowledge to educate people how to best take care of their bodies and cope with the feelings of hopelessness that she remembers so well.
Question: How did Deborah feel when she first hurt her knee?
Options: (A) Calm. (B) Confused. (C) Ashamed. (D) Disappointed.
Asnwer: B
Output: No
Input: Consider Input: Article: Coral reefs are not just beautiful to look at,but also very useful.They shelter nearly 25% of ocean life and provide food for billions of people.However, like many other species,this amazing ecosystem is in danger of dying out! There are two main reasons for the destruction--the rising carbon dioxide levels caused by global warming as well as human influences like bottom operation.While not much can be done about the former,the loss caused by the latter can be reduced. Bottom operation involves dropping nets to the ocean bed and then dragging them up when filled with fish.This action damaged the ocean floor,causing the coral branches to separate from the reefs.While that is very discouraging,the good news is that if these branches are found quickly,they can be saved.At present,that work is being performed by volunteer divers. But the method has only limited success because they cannot stay long underwater, nor reach depths of over 200 meters where some of the deep-sea coral grows. However,this is not the case for Coralbots--the robots that can constantly seek out broken branches.A team of 'coral bots',each individually working to simple rules will piece together damaged bits of coral, allowing them to regrow. They are programmed to be able to distinguish between other things and the coral.The robots work together in groups,similar to bees.If one coralbot is damaged, then the others will still be able to complete the task. Dr Lea-Anne Henry said:"The project of using coralbots offers us the possibility to restore the function of reefs.It is in the final stage of testing.Once ready, the researchers hope to build hundreds of _ and use them effectively in the waters off Scotland and then hopefully in the oceans across the world."
Question: Which of the following is a cause of the danger that coral reefs are facing?
Options: (A) The appearance of new creatures. (B) The seriously polluted sea water. (C) The activities of volunteer divers. (D) Human activities like bottom operation.
Asnwer: D
Output: Yes
Input: Consider Input: Article: Why College Is Not Home The college years are supposed to be a time for important growth in autonomy and the development of adult identity. However, now they are becoming an extended period of adolescence, during which many of today's students and are not shouldered with adult responsibilities. For previous generations, college was decisive break from parental control; guidance and support needed help from people of the same age and from within. In the past two decades, however, continued connection with and dependence on family, thanks to cellphones, email and social media, have increased significantly. Some parents go so far as to help with coursework. Instead of promoting the idea of college as a _ from the shelter of the family to autonomy and adult responsibility, universities have given in to the idea that they should provide the same environment as that of the home. To prepare for increased autonomy and responsibility, college needs to be a time of exploration and experimentation. This process involves "trying on " new ways of thinking about oneself both intellectually and personally. While we should provide "safe spaces" within colleges, we must also make it safe to express opinions and challenge majority views. Intellectual growth and flexibility are fostered on debate and questioning. Learning to deal with the social world is equally important. Because a college community differs from the family, many students will struggle to find a sense of belonging. If students rely on administrators to regulate their social behavior and thinking pattern, they are not facing the challenge of finding an identity within a larger and complex community. Moreover, the tendency for universities to monitor and shape student behavior runs up against another characteristic of young adults: the response to being controlled by their elders. If acceptable social behavior is too strictly defined and controlled, the insensitive or aggressive behavior that administrators are seeking to minimize may actually be encouraged. It is not surprising that young people are likely to burst out, particularly when there are reasons to do so. Our generation once joined hands and stood firm at times of national emergency. What is lacking today is the conflict between adolescent's desire for autonomy and their understanding of an unsafe world. Therefore, there is the desire for their dorms to be replacement homes and not places to experience intellectual growth. Every college discussion about community values, social climate and behavior should include recognition of the developmental importance of student autonomy and self-regulation, of the necessary tension between safety and self-discovery.
Question: What's the author's attitude toward continued parental guidance to college students?
Options: (A) Sympathetic (B) Disapproving (C) Supportive (D) Neutral
Asnwer: D
| Output: No
| 2 | NIv2 | task310_race_classification | fs_opt | [
0.7251933813095093,
0.4156050384044647,
-0.8562807440757751,
-0.04925919696688652,
0.39305657148361206,
-0.3254726529121399,
0.6655421257019043,
0.7440635561943054,
-0.593227744102478,
0.3205205798149109,
-0.12871506810188293,
0.2036609947681427,
-0.2724056839942932,
0.2537369430065155,
... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Input: Pero en sociedades máis igualitarias, esta porcentaxe sobe ata o 60% ou 65%.
Output: | ولكن في المجتمعات التى بها عدالة إجتماعية ترتفع النسبة الى 60-65% | 2 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.6558892726898193,
0.7780677080154419,
0.5244674682617188,
-1.5497040748596191,
-0.1912643313407898,
-0.42541760206222534,
0.4084497392177582,
1.0796291828155518,
-0.07398677617311478,
-0.1627718210220337,
-0.9231231808662415,
-0.22369924187660217,
-0.8721925020217896,
0.4376424849033355... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question having multiple possible answers in Vietnamese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Điều gì gây ra nỗi sợ hãi trong trượt băng?
Options: A thương tích B tăng nhịp tim C Di chuyển nhanh D không thể dừng lại E có thể ngã
Output: | E | 1 | NIv2 | task1130_xcsr_vi_commonsense_mc_classification | zs_opt | [
0.008538538590073586,
0.4961467683315277,
-0.3770689070224762,
0.017059287056326866,
-0.21404123306274414,
0.07339192926883698,
0.9317617416381836,
1.0507770776748657,
0.04725368320941925,
-0.45487961173057556,
-0.5329591631889343,
0.22757069766521454,
0.12298211455345154,
-0.0691227167844... |
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: I heard some long-time fans of Michael Nesmith were confused. You'll listen to Michael's new sound.
A: | Positive | 9 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.30538302659988403,
0.18200954794883728,
0.6228704452514648,
-0.1576497107744217,
0.915593147277832,
-0.13483470678329468,
0.6466861963272095,
0.478101909160614,
0.11683613806962967,
0.9986402988433838,
0.2651248574256897,
-1.0937550067901611,
-0.6374297142028809,
-0.3627341687679291,
... |
Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word '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. 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'. Actions and commands do not have quotations in the input and output.
Input: look around left and jump right thrice
Output: | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP | 3 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.05518742650747299,
0.5719484090805054,
-0.45137688517570496,
0.23295879364013672,
0.15847009420394897,
-0.08737638592720032,
-0.034099821001291275,
0.48812350630760193,
-0.3206450939178467,
-0.05045492202043533,
-0.8370652198791504,
-0.28238028287887573,
-0.5896336436271667,
-0.327993094... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Zacznę od zagadki opartej na mowie niebezpośredniej.
Output: | Vou começar com um enigma: o enigma dos atos de fala indireta. | 1 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.25115883350372314,
1.1100833415985107,
-0.03761691600084305,
-0.15838301181793213,
-0.5654377937316895,
0.45112472772598267,
0.9469195604324341,
0.03883086144924164,
0.6137242317199707,
-0.16664960980415344,
-0.854698121547699,
-0.18456819653511047,
-0.34893298149108887,
0.2073964774608... |
Teacher:A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: इससे वरिष्ठ नागरिकों को प्रति माह 10,000 रुपये तक पेंशन मिल सकेगी।
Student: | ఈ చర్య ద్వారా సీనియర్ సిటిజన్ లకు ఒక్కొక్క నెలకు 10000 రూపాయల వరకు పెన్షన్ అందేందుకు ఆస్కారం ఉంటుంది. | 6 | NIv2 | task1045_pib_translation_hindi_telugu | zs_opt | [
-0.05035573989152908,
0.45829063653945923,
-0.04251249134540558,
-0.3949488401412964,
-0.22844688594341278,
-1.104769229888916,
0.6975758671760559,
0.5402138233184814,
0.2536352872848511,
-0.44794023036956787,
0.37735021114349365,
-0.2561107873916626,
-0.8518072962760925,
-0.12872335314750... |
Teacher:In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
Teacher: Now, understand the problem? Solve this instance: Thousands of people were evacuated, and 11 people were killed.
Student: | English | 6 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | zs_opt | [
0.44638657569885254,
0.45681318640708923,
0.5878466367721558,
-0.1271793246269226,
0.025303641334176064,
-0.8947151899337769,
-0.010977387428283691,
0.8000550866127014,
0.14325009286403656,
-0.25523436069488525,
-0.055536627769470215,
-0.0953158289194107,
-0.6975698471069336,
-0.5028489828... |
You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Consider Input: Statement: ಕಾಲಾ ನಂತರದಲ್ಲಿ, ಆರ್ಯನ್ನರು ಭಾರತದ ಒಳ ಭೂಖಂಡದ ಬೇರೆ ಬೇರೆ ಭಾಗಳಲ್ಲಿ ಹರಡಿಕೊಂಡರು, ದೂರ ದಕ್ಷಿಣದ <MASK> ಮತ್ತು ಶ್ರೀಲಂಕಾಗಳಲ್ಲಿ ಹೋಗಿ ಸೇರಿಕೊಂಡರು, ಹಾಗೂ ಸಕಾಲ ಮಾರ್ಗದಲ್ಲಿ, ಹಲವು ದೊಡ್ಡ ಜನಸಂಖ್ಯೆಯ ಕೇಂದ್ರಗಳಲ್ಲಿ ಪ್ರಾಚೀನ ರಾಜ್ಯಗಳು (ಮಹಾಜನಪದರು) ಉದಯಿಸಿದವು. ಪ್ರಾಚೀನ ಮಹಾಜನಪದ ಕಾಲದ ಅಯೋಧ್ಯೆಯ ಕೋಸಲ ಸಾಮ್ರಾಜ್ಯವು - ಇಲ್ಲಿಯೇ ಹಿಂದೂ ಪುರಾಣದ ಅವತಾರ ಪುರುಷನಾದ ರಾಮಾಯಣದ ರಾಮ ರಾಜ್ಯಭಾರ ಮಾಡಿದ್ದ - ಇಲ್ಲಿಯೇ ಇದೆ. ಕೃಷ್ಣ - ಹಿಂದೂ ಪುರಾಣದ ಮತ್ತೊಬ್ಬ ಅವತಾರ ಪುರುಷ ಮತ್ತು ಮಹಾಭಾರತ ಮಹಾಕಾವ್ಯದಲ್ಲಿ ಪ್ರಮುಖ ಪಾತ್ರವಹಿಸಿದವ ಹಾಗೂ ಹಿಂದೂ ದೇವತೆ ಮಹಾವಿಷ್ಣುವಿನ ಎಂಟನೆಯ ಅವತಾರವಾದವನು - ಇಲ್ಲಿಯ ಮಥುರಾ ನಗರದಲ್ಲಿಯೇ ಜನಿಸಿದನು. ಮಹಾಭಾರತ ಯುದ್ಧದ ನಂತರದ ಪಾಂಡವ ಅರಸು ಯುಧಿಷ್ಠಿರನ ಆಳ್ವಿಕೆಯಲ್ಲಿನ ಘಟನೆಗಳು ಇಲ್ಲಿಯ ಪಶ್ಚಿಮ ಉತ್ತರ ಪ್ರದೇಶದ ದೋಬ್ ಪ್ರದೇಶ ಮತ್ತು ದೆಹಲಿಯ ನಡುವೆ ನಡೆದಿರುವವೆಂದು (ಕುರು ಮಹಾಜನಪದದಲ್ಲಿ) ನಂಬಲಾಗಿದೆ.
Option A: ಕೇರಳ
Option B: ಬರ್ಲಿನ್
Option C: ಉತ್ತರಾಖಂಡ
Option D: ಬಂಗಾಳದಿಂದ
Output: ಕೇರಳ
Input: Consider Input: Statement: ಕಾರ್ಕಿ ತೆಲುಗು-ನಿರ್ದೇಶಕ <MASK> ಅವರ ಯಶಸ್ವೀ ಸಹಯೋಗಕ್ಕಾಗಿಯೂ ಸಹ ಹೆಸರುವಾಸಿಯಾಗಿದ್ದಾರೆ. ಅವರ ಮಹತ್ವದ ಕೃತಿ ಎರಡು ಭಾಗದ ಬಾಹುಬಲಿ. ಎರಡನೆಯ ಭಾಗವು ಸಾರ್ವಕಾಲಿಕ ಅತ್ಯಂತ ಲಾಭದಾಯಕ ದಕ್ಷಿಣ ಭಾರತೀಯ ಚಲನಚಿತ್ರವಾಗಿದ್ದು. ಸಂಭಾಷಣೆ ಬರಹಗಾರ ರಾಗಿ ಅವರ ಇತರ ಗಮನಾರ್ಹ ಯೋಜನೆಗಳೆಂದರೆ ಗೋಕುಲ್ ಅವರ ಇದುಕ್ಕುತಾನೇ ಆಸೆ ಪಟ್ಟೈ, ವೆಂಕಟ್ ಪ್ರಭು ಅವರ ಮಸ್ಸುಎಂಗೆ ರಾ ಮಶಿಲಾಮಣಿ, ಮತ್ತು ನಾಗ್ ಅಶ್ವಿನ್ ಅವರ ಮಹಾನತಿ (ದಕ್ಷಿಣ ಭಾರತೀಯ ಚಲನಚಿತ್ರ ನಟಿ ಸಾವಿತ್ರಿ ಅವರ ಜೀವನಚರಿತ್ರೆ).
Option A: ಕುಶ್ಬೂ
Option B: ಎಸ್.ಎಸ್.ರಾಜಮೌಳಿ
Option C: ಮಾಧವಿ
Option D: ವೈರಮುತ್ತು
Output: ಎಸ್.ಎಸ್.ರಾಜಮೌಳಿ
Input: Consider Input: Statement: ಕನ್ನಡ, ತೆಲುಗು, ತಮಿಳು, ಇಂಗ್ಲಿಷ್, ಲತೀನ್, ಹೀಬ್ರು, ಗ್ರೀಕ್ ಮತ್ತು ಇಟಾಲಿಯನ್ ಭಾಷೆಗಳ ಪರಿಚಯ ಇವರಿಗಿದ್ದುದರಿಂದ 'ಪವಿತ್ರಬೈಬಲಿನ ಕರ್ನಾಟಕ ಪ್ರಾದೇಶಿಕ ಭಾಷಾಂತರ ಸಮಿತಿ'ಯ ಕಾರ್ಯದರ್ಶಿಯಾಗಿ ನೇಮಕಗೊಂಡು ಕಥೋಲಿಕ ಅವತರಣಿಕೆಯೂ ಸೇರಿದಂತೆ ಉಭಯ ಬಳಕೆಯ ಸಮಗ್ರ ಕನ್ನಡ ಬೈಬಲಿನ ಪ್ರಕಟಣೆ ಇವರ ಜೀವನದ ಮಹತ್ಸಾಧನೆಯಾಯಿತು. ೧೭-೧೮ನೇ ಶತಮಾನಗಳಲ್ಲಿ ಕನ್ನಡನಾಡಿನಲ್ಲಿ ಕ್ಷೇತ್ರಕಾರ್ಯ ಮಾಡುತ್ತಿದ್ದ ಜೆಸ್ವಿತ್ಪಾದ್ರಿಗಳು <MASK>ನಲ್ಲಿದ್ದ ತಮ್ಮ ವರಿಷ್ಠರಿಗೆ ಕಳಿಸಿದ್ದ ವರದಿಗಳನ್ನು ಅಂತಪ್ಪನವರು ಸಂಪಾದಿಸಿ ಕನ್ನಡದಲ್ಲಿ ಪ್ರಕಟಿಸಿ ಕರ್ನಾಟಕ ಇತಿಹಾಸದ ಪುನರ್ರಚನೆಗೆ ನಾಂದಿಯಾದರು.
Option A: ಕರ್ನಾಟಕ
Option B: ಬೆಂಗಳೂರು
Option C: ಇಂಡಿಯಾ
Option D: ರೋಮಿ
| Output: ರೋಮಿ
| 2 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.6191176176071167,
0.6929281949996948,
-0.1601492464542389,
-0.035931870341300964,
-0.018676798790693283,
-0.10928773134946823,
0.23386874794960022,
0.7332293391227722,
-0.1283140629529953,
-0.22869478166103363,
0.11054514348506927,
0.10030756890773773,
-0.7588651776313782,
-0.02425505407... |
Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Input: English sentence: Turin always regretted losing Lagrange and from time to time his return there was suggested, for example in 1774.
Output: | Turin palaging regretted talo Lagrange at mula sa oras-oras sa kanyang bumalik doon ay iminungkahi, para sa mga halimbawa sa 1774. | 3 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.060840707272291183,
0.43852412700653076,
-0.060465216636657715,
-0.24092042446136475,
0.6500888466835022,
-0.901942253112793,
0.6758936047554016,
0.18182094395160675,
-0.480363130569458,
0.5920363068580627,
-0.012074314057826996,
0.534782350063324,
-0.8407912254333496,
0.5796550512313843... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
One example: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Solution is here: وقتی به این جامعه های در حال توسعه می روید زنها رکن اصلی اجتماعشان هستند ولی هنوز این مردها هستند که خیابون ها رو در دست دارند.
Explanation: The Galician sentence is correctly translated into Farsi, because the meaning is preserved.
Now, solve this: Pero hai demasiado contido creativo que simplemente foi soterrado.
Solution: | ولی کلی مطالب خلاقانه هنوز اون ته باقی است. ولی کلی مطالب خلاقانه هنوز اون ته باقی است. | 6 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.332629919052124,
0.9026783108711243,
0.03416085243225098,
-0.21891430020332336,
-0.020953301340341568,
-0.6350443363189697,
0.5845195651054382,
0.7504686117172241,
-0.3640187382698059,
0.08618584275245667,
-1.5531337261199951,
0.5934743881225586,
-0.644707202911377,
0.001427786657586693... |
Given the task definition and input, reply with output. In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Sentence: Lara Leibman@ENRON {{ COMMUNICATIONS }}
Word: COMMUNICATIONS
| ADD | 5 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
0.025702837854623795,
0.41667434573173523,
0.13264679908752441,
0.3226281404495239,
-0.18050149083137512,
-0.5578539371490479,
0.4243181347846985,
0.8141921162605286,
-0.32551175355911255,
-0.4233115017414093,
-0.39071956276893616,
0.6821416616439819,
-0.15779133141040802,
-0.1052524372935... |
Teacher:Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'Barack Obama has become the 44th President Elect of the United States of America .', Argument/Subject 1: 'barack obama', Argument/Subject 2: 'america'
Student: | be president of | 6 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
-0.006772277876734734,
0.5462905168533325,
0.5950149893760681,
0.13513576984405518,
-0.05077214911580086,
-1.188927412033081,
0.37804609537124634,
0.7638359665870667,
1.1054508686065674,
0.21866600215435028,
-0.03139123320579529,
-0.030086416751146317,
-0.005914798006415367,
-0.34569844603... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Input: Consider Input: Dialogue 1: 'delete conversation i'd rather delete people discussing it admin power d i am very depressing'. Dialogue 2: 'i failed in exams sorry to hear there's always another time not this time'.
Output: yes
Input: Consider Input: Dialogue 1: 'yes buts its real it's me and u she cheated on me'. Dialogue 2: 'no you can't stop why can't i because i feeling bad at this time'.
Output: yes
Input: Consider Input: Dialogue 1: 'not so great why are you not doing well just don't ask'. Dialogue 2: 'i dont want to be frendzone why not it hurts'.
| Output: no
| 2 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.5928652286529541,
0.417828768491745,
0.6221582293510437,
-0.22581934928894043,
0.30001354217529297,
0.14284227788448334,
1.231074571609497,
0.7069715261459351,
0.33963263034820557,
0.20852002501487732,
0.12059205770492554,
-0.7066051959991455,
-0.5362216234207153,
0.05717680603265762,
... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense.
One example is below.
Q: Title: Marcus Buys Khakis. Marcus needed clothing for a business casual event. He decided to buy a pair of khakis. The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked. c. All of his clothes were either too formal or too casual.
A: ac
Rationale: Marcus is buying clothes for a business event and not presenting an idea.
Q: Title: Gary always loved sports. When he was in college he wrote for the sports section of the paper. Now Gary has his dream job, being paid to comment on sports. Choices: a. Then when he graduated he got a job working for ESPN. b. He loved playing, watching, and discussing all sports. c. He surfed on his very first wave!
A: | ab | 9 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.3808937966823578,
0.1668212115764618,
-0.18038299679756165,
0.485901802778244,
0.6289488077163696,
-0.08601528406143188,
0.586686372756958,
1.0765230655670166,
-0.3166373372077942,
0.21426592767238617,
-0.49772605299949646,
-0.28321123123168945,
0.21289782226085663,
-0.16786035895347595... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Q: Było to radosne, choć czasem też frustrujące.
A: Foi emocionante, mas frustrante às vezes.
****
Q: Te nogi są świetne.
A: Não, estas pernas são ótimas.
****
Q: Jest nawet jeszcze jeden.
A: | Na verdade, aqui está outro.
****
| 4 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.38030487298965454,
1.2350605726242065,
-0.1116446927189827,
0.010411268100142479,
-0.3732236623764038,
-0.7353060841560364,
0.8152608871459961,
-0.3013712763786316,
0.22174565494060516,
-0.11401122808456421,
-0.523984432220459,
0.3160862624645233,
-0.7081670165061951,
0.5500420331954956... |
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
One example is below.
Q: रोजगार कार्यालय जाओ.
A: Go to the employment office.
Rationale: The translation is correct
Q: ब्रूक्स, मुझे देखो.
A: | Brooks, look at me. | 9 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.6627246737480164,
1.0146887302398682,
0.29933109879493713,
0.3782268166542053,
-0.0636557787656784,
-0.6977197527885437,
0.025092974305152893,
-0.3053613007068634,
0.10182689875364304,
-0.4296077489852905,
-0.13970398902893066,
-0.08982701599597931,
0.13742783665657043,
0.26076447963714... |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Porque não construir um simulador virtual de um laboratório?
| ¿Por qué no construir un simulador virtual de laboratorio? | 5 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-1.4830420017242432,
1.1240276098251343,
0.07182653248310089,
-0.3839767277240753,
-0.6548922061920166,
0.2174774408340454,
-0.057793278247117996,
0.5389147996902466,
0.6089445948600769,
-0.4355100393295288,
-0.20391154289245605,
0.6407651901245117,
-0.29837310314178467,
-0.252104103565216... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Q: [31.541, -32.498, 202.96]
A: [ 0.156 -0.161 1.005]
****
Q: [27.425, 165.583, 82.748, 74.086, 181.22, 39.498]
A: [0.048 0.29 0.145 0.13 0.318 0.069]
****
Q: [24.112, 124.142, 193.374, 26.609, 228.483, 53.107, 153.075, 23.176, 87.534]
A: | [0.026 0.136 0.212 0.029 0.25 0.058 0.168 0.025 0.096]
****
| 4 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.5611147880554199,
0.5873120427131653,
-0.8853698968887329,
-1.1910066604614258,
-0.0748581662774086,
0.0669884979724884,
0.2985426187515259,
-0.013468907214701176,
-0.23077458143234253,
-0.3530992865562439,
-0.9399471879005432,
0.2127847820520401,
0.009518707171082497,
-0.40370076894760... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
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?
Why? The Japanese sentence is correctly translated into Hebrew, because they both refer to the human brain.
New input: 残念ながらアメリカはその中には入っていませんパプアニューギニアやリベリアと
Solution: | למרבה הצער, ארה "" ב אינה אחת מהן, כך שאם במקרה תהיתם | 0 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.5389043688774109,
0.19138842821121216,
0.4577276408672333,
-0.15390348434448242,
-0.6453405618667603,
-0.40560129284858704,
1.2239975929260254,
-0.09667645394802094,
0.7496407628059387,
-0.49357864260673523,
-0.5387248396873474,
-0.10284586250782013,
-0.5770246982574463,
0.3612650036811... |
Detailed Instructions: Given a sentence in Russian, generate a new Russian 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.
Problem:Вы очень рады построить в лесу существо.
Solution: | Вы, скорее всего, рискуете создать существо в лесу. | 8 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.007959011942148209,
0.6498984098434448,
-0.002294577192515135,
-0.27695536613464355,
-0.9152790307998657,
-0.4926726520061493,
0.8501005172729492,
1.2646772861480713,
0.0011483087437227368,
-0.2871484160423279,
-1.1044915914535522,
-0.4055676758289337,
-0.42538219690322876,
0.3804805874... |
Definition: 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.
Input: [-807, 607, -677, -134]
Output: | [-810, 610, -680, -130] | 2 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.7033035755157471,
0.8845697641372681,
-0.3562253713607788,
0.0000539190077688545,
-0.30928733944892883,
0.07487104833126068,
0.5291773676872253,
0.10893513262271881,
0.08078113943338394,
0.33690202236175537,
-0.606159508228302,
0.14265874028205872,
-0.6243168711662292,
0.534853279590606... |
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can be replaced with synonyms. The objective is to construct a question in a manner that (a) captures the facts specified in at least one of the triplets, and (b) ideally contains a limited number of blanks such that it is a well-formed question that is easy to answer. A blank can represent a single word or a phrase.
[['Antarctica', 'DIRECTED_BY', 'Perry Lang'], ['Antarctica', 'WRITTEN_BY', 'Patrick Massett & John Zinman'], ['Antarctica', 'ORIGINAL_AIR_DATE', 'February 3, 2003']] | The original air date of _____ directed by Perry Lang and written by Patrick Massett & John Zinman is February 3, 2003 | 0 | NIv2 | task1407_dart_question_generation | zs_opt | [
-0.5308035612106323,
0.3668439984321594,
-0.2852364182472229,
-0.2904345989227295,
-0.07608944177627563,
-0.3350493907928467,
0.8272860646247864,
-0.5551462173461914,
-0.1356872320175171,
-0.19459013640880585,
-0.5422689914703369,
0.18827053904533386,
-0.3050061762332916,
0.183420538902282... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
One example: JkbloNUq, nYblowj
Solution is here: b, j, k, l, n, o, q, u
Explanation: Here, 'JkbloNUq' is the longer string among the two input strings. Lowercasing it and finding all unique alphabets gives 'b, j, k, l, n, o, q, u'.
Now, solve this: nDQaNjY, blQabP
Solution: | a, d, j, n, q, y | 6 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.2981654405593872,
1.7310253381729126,
-0.41998547315597534,
-0.8532035946846008,
-0.16051913797855377,
0.1653796136379242,
1.1377419233322144,
-0.17364057898521423,
-0.14743292331695557,
0.6643405556678772,
0.13904933631420135,
-0.3842626214027405,
-0.6185723543167114,
0.464032441377639... |
Teacher:Given a sentence in French, provide an equivalent paraphrased version from the original that retains the same meaning.
Teacher: Now, understand the problem? Solve this instance: Taieri est un ancien électorat parlementaire de la région d’Otago en Nouvelle-Zélande, de 1866 à 1911.
Student: | Taieri est un ancien électorat parlementaire de la région néo-zélandaise d'Otago, de 1866 à 1911. | 6 | NIv2 | task772_pawsx_french_text_modification | zs_opt | [
0.5302389860153198,
0.4344600439071655,
0.10853598266839981,
-0.05931180715560913,
-0.08413906395435333,
-1.2078440189361572,
0.46575573086738586,
-0.16089677810668945,
0.39318251609802246,
0.510701596736908,
0.3695926070213318,
-0.10114222764968872,
-0.7697323560714722,
-0.378359258174896... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" based on your judgment.
Example: He knew it , and he deserved no answer .
Output: Inversion
"He knew it" and "he deserved no answer" have been inverted.
New input case for you: The traffic was slow but the driver was fast .
Output: | Inversion | 1 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
-0.12337591499090195,
0.8362800478935242,
0.44924551248550415,
0.18996818363666534,
0.2665770351886749,
0.023393664509058,
0.017505168914794922,
0.6285455226898193,
-0.04141462221741676,
-0.2593232989311218,
-0.4571857154369354,
-0.7424225807189941,
-0.4907070994377136,
-0.2432446181774139... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Example Input: News Headline: Jakarta Is {Sinking} So Fast , It Could End Up Underwater - The New York Times
Edit: growing
Example Output: Not Funny
Example Input: News Headline: Where 's Zuck ? Facebook CEO silent as data harvesting scandal {unfolds}
Edit: progresses
Example Output: Not Funny
Example Input: News Headline: What Roy Moore 's {campaign} can teach us about partisanship
Edit: song
Example Output: | Not Funny
| 3 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.07988734543323517,
0.39811789989471436,
0.6223121285438538,
0.021393734961748123,
-0.2308230698108673,
-0.5058919191360474,
0.08475534617900848,
1.1035876274108887,
-0.12373208999633789,
0.06167510524392128,
-0.5331265926361084,
-0.3734869956970215,
-0.8238450288772583,
-0.1840190291404... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Ex Input:
"Twitter is depriving cyberdissidents in repressive countries of a crucial tool for information and organization."
Ex Output:
「ツイッターは、抑圧的な国々において、情報と組織のための重要なツールを反体制派から奪う」
Ex Input:
Annualised sales of vehicles in the car industry in the US are predicted to have dipped below nine million in March, compared to February's 9.12 million, which was the lowest number since 1981.
Ex Output:
1981年以降最も低い数値であった2月の売上額912万と比較すると、米国の自動車産業における自動車の年率換算された売上高は3月に900万を割り込んだと予測される。
Ex Input:
The plaintiffs in the suit included adherents of varying religious backgrounds, including Christianity and Hinduism.
Ex Output:
| 訴訟の原告には、キリスト教やヒンズー教から改宗した人もいた。
| 1 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.8946454524993896,
-0.8753501176834106,
-0.13602861762046814,
0.5512390732765198,
0.1026352047920227,
-0.03644653782248497,
0.08977094292640686,
0.8735861778259277,
-0.32201629877090454,
0.6105531454086304,
-0.40382492542266846,
-0.1138727143406868,
0.25296273827552795,
0.234961122274398... |
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.
[EX Q]: મહત્વપૂર્ણ સંકેતમાં રાષ્ટ્રપતિજીનાં વિશેષ અતિથિ સ્વરૂપે રાષ્ટ્રપતિ સોલિહ રાષ્ટ્રપતિ ભવનમાં રોકાયા છે.
[EX A]: एक अतिशय महत्त्वाचा संकेत म्हणून अध्यक्ष सोलीह राष्ट्रपतीजींचे विशेष अतिथी म्हणून राष्ट्रपती भवनात पाहुणचार घेत आहेत.
[EX Q]: વધુમાં, જળ સ્રોતોનો નિષ્ણાત અને જળને લગતા સંવેદનશીલ મુદ્દાઓને સંભાળવા માટે અનુભવ ધરાવતા બે મૂલ્યાંકનકર્તાઓ ટ્રીબ્યુનલને તેની કામગીરી દરમિયાન સલાહ આપવા માટે નીમવામાં આવશે.
[EX A]: आंतरराष्ट्रीय पार्टी समवेत भारतीय चित्रपटाची सह निर्मिती म्हणजे भारतीय निर्मात्याला आंतर राष्ट्रीय निधी उपलब्ध होण्याची संधी आणि पटकथा, वितरण यासाठी आंतरराष्ट्रीय स्तरावर सहकार्याचा हात उपलब्ध होऊ शकतो.
[EX Q]: દિવ્યાંગ ભાઈઓ-બહેનો છે તેમના માટે કોમન સાઈન, તેનો શબ્દકોશ બનાવવાનું કામ પણ આજે આપણો દેશ કરી રહ્યો છે.
[EX A]: | - तोही एक काळ होता विद्वान काय म्हणायचे भारतीय अर्थव्यवस्थेत जोखीम आहे.
| 6 | NIv2 | task983_pib_translation_gujarati_marathi | fs_opt | [
-0.4572291970252991,
-0.1747802495956421,
-0.18567302823066711,
0.24248623847961426,
-0.6765421628952026,
-1.3647605180740356,
0.5236554145812988,
0.35335856676101685,
-0.3740881085395813,
-0.09193769097328186,
-0.4881834089756012,
0.1909402310848236,
-0.4502534866333008,
-0.07473516464233... |
Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Querying posts on Twitter with extracted lexicons led to a collection of $19,300$ tweets. In order to have lexical diversity, we added 2500 randomly sampled tweets to our dataset.
Question: How many tweets were collected?
| $19,300$ added 2500 randomly sampled tweets | 5 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-1.0132288932800293,
0.5886039733886719,
0.06244916096329689,
0.2702934741973877,
-0.7139300107955933,
0.05693373829126358,
-0.3737662732601166,
-0.3703137934207916,
0.0960053950548172,
-0.007819067686796188,
-0.5030643939971924,
0.4959321618080139,
-0.7058793306350708,
-0.2476008981466293... |
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Q: ddnjdnnndnnddjd
A: | dnnnd | 4 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.8573545217514038,
0.9252737164497375,
-0.18426454067230225,
-0.7572944760322571,
-1.0280380249023438,
0.42528021335601807,
0.7840903401374817,
-0.26490283012390137,
0.07947087287902832,
0.1149677187204361,
-0.6964761018753052,
0.09590762853622437,
-1.041792869567871,
0.6081714630126953,... |
instruction:
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.
question:
How many nanometers are there in 35.24283km?
answer:
measurement
question:
What is next in 6, 12, 18?
answer:
algebra
question:
Sum -10 and -52539.
answer:
| arithmetic
| 9 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.3732144236564636,
0.07107821106910706,
-0.11736845225095749,
-0.15592733025550842,
-0.046172454953193665,
-0.05824197828769684,
-0.11310167610645294,
0.09376654028892517,
0.10724493116140366,
-0.5210000872612,
-0.9129687547683716,
0.12170455604791641,
-0.31164541840553284,
-0.19912840425... |
Definition: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Input: Sophia entered the basement. Charlotte entered the basement. The corn is in the green_basket. Charlotte exited the basement. Sophia moved the corn to the blue_envelope. Sophia exited the basement. Charlotte entered the basement. Where was the corn at the beginning?
Output: | green_basket | 2 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
0.23649150133132935,
0.07894255220890045,
-0.26002347469329834,
-0.29764750599861145,
-0.1998383104801178,
-0.20259085297584534,
0.3410681188106537,
0.7915588617324829,
0.36056607961654663,
-0.3641650378704071,
-0.5429695844650269,
0.5654768943786621,
-0.18963438272476196,
0.27362519502639... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Input: Consider Input: 様々な物語がなくてはなりません
Output: Moitas historias son importantes.
Input: Consider Input: (指差して「何あれ ？ 」という身振りをする ― 笑) 「彼がどうしたいか分った ？ 」
Output: (Risas) "Entendes o que quere este tipo?"
Input: Consider Input: そしてこれらすべての基礎は、彼らの人間関係にあります
| Output: E a base de todo isto é como interactúan.
| 2 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.06137082353234291,
0.6482024192810059,
0.16203673183918,
-0.13864168524742126,
-0.13411569595336914,
-0.9671440720558167,
0.30732113122940063,
-0.041138894855976105,
-0.3439532220363617,
-0.880173921585083,
-0.4264937937259674,
0.3026939630508423,
-0.8149185180664062,
-0.142440617084503... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
One example: Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libraries of public schools. Public libraries not only lend books, music records but also help children, patients in hospitals and others to get special play readings, film shows and so on. The first public libraries were founded in about the year 1850. Today's public libraries usually have a reading-room, a lending room and a reference room. The greatest and most famous library in Britain is that of the British Library in London. It was founded in 1973 and has over 10, 000, 000 books. It has nearly every magazine, newspaper and book published in Britain and other parts across the world.
Answer: 10,000,000 or less.
Solution is here: How many books are there in the British Library?
Explanation: In the Article, 10,000,000 is mentioned for the number of books available in the British Library, so this is a good question.
Now, solve this: Article: In recent years, a growing body of research has shown that our appetite and food intake are influenced by a large number of factors besides our biological need for energy, including our eating environment and our perception of the food in front of us. Studies have shown. for instance. that eating in front of the TV (or a similar distraction) can increase both hunger and the amount of food consumed. Even simple visual cues( ). like plate size and lighting, have been shown to affect portion size and consumption. A new study suggested that our shot-term memory also may play a role in appetite. Several hours after a meal, people's hunger levels were predicted not by how much they'd eaten but rather by how much food they'd seen in front of them --- in other words, how much they remembered eating. This difference suggests the memory of our previous meal may have a bigger influence on our appetite than the actual size of the meal. says Jeffrey M . Brunstrom , a professor of experimental psychology at the University of Bristol. "Hunger isn't. controlled solely by the physical characteristics of a recent meal. We have identified an independent role for memory for that meal." Brunstrom says. "This shows that the relationship between hunger and food intake is more complex than we thought." These findings echo earlier research that suggests our perception of food can sometimes trick our body's response to the food itself. In a 2011 study, for instance, people who drank the same 380-calorie milkshake on two separate occasions produced different levels of hunger-related hormones, depending on whether the shake's label said it contained 620 0r 140 calories. Moreover, the participants reported feeling more full when they thought they'd consumed a higher-calorie shake. What does this means for our eating habits? Although it hardly seems practical to trick ourselves in to eating less, the new findings do highlight the benefits of focusing on our food avoiding TV and multitasking while eating. The so-called mindful-eating strategies can fight distractions and help us control our appetite, Brunstrom says.
Answer: How we perceive the food we eat.
Solution: | What is said to be a factor affecting our appetite and food intake? | 6 | NIv2 | task311_race_question_generation | fs_opt | [
0.604331910610199,
0.29244065284729004,
-0.2511855363845825,
-0.5147209763526917,
0.5171638131141663,
-0.10084304213523865,
0.7507500648498535,
0.2340933382511139,
0.05276957154273987,
-0.6474885940551758,
0.01091585960239172,
-0.18593961000442505,
-1.9166079759597778,
0.4893718957901001,
... |
Given the task definition and input, reply with output. In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Perform the operations in order, i.e., do not concatenate the elements and then reverse the string.
8, 9, ['9187', '8233', 'm', '855', 'F', 'j', '2671', '6097', 'A']
| A6097 | 5 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.3266022205352783,
0.14795610308647156,
-0.29411575198173523,
-0.6821098923683167,
-0.09928935766220093,
-0.05629265308380127,
-0.09784851223230362,
-0.06806851923465729,
-0.26985493302345276,
-0.06752415001392365,
-1.356274127960205,
-0.013611226342618465,
-0.23087579011917114,
-0.14444... |
Given the task definition, example input & output, solve the new input case.
We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gun control. An invalid argument is a phrase that cannot be interpreted as an argument or not on the topic of gun control.
Example: If gun bans worked there would be no gun deaths in the countries that have banned guns.
Output: Valid
It is an argument that claims that gun bans will not work.
New input case for you: Even if today's well-regulated militia were the National Guard, the Second Amendment still protects an individual right to keep and bear arms.
Output: | Valid | 1 | NIv2 | task150_afs_argument_quality_gun_control | fs_opt | [
0.13780421018600464,
0.8100472688674927,
0.047757524996995926,
-0.2587026357650757,
-0.1699560284614563,
-1.5065969228744507,
0.4468645453453064,
0.6864163279533386,
0.3428027033805847,
0.38057398796081543,
-0.6296576261520386,
-0.5095527172088623,
-0.24744954705238342,
-0.0365660898387432... |
Instructions: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: 保守党は「彼が両方の役割を続けることは不可能である」と言った。
Output: | Pihak Konservatif mengatakan bahwa tidak mungkin baginya untuk terusmelanjutkan kedua peran. | 3 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
0.0908302366733551,
0.7681165933609009,
0.3384851813316345,
-0.3284587860107422,
-0.2781939208507538,
-0.7125120162963867,
0.3224492371082306,
-0.31547990441322327,
0.019269611686468124,
-0.2819519639015198,
-0.6767796874046326,
-0.06682029366493225,
-0.8723995685577393,
0.1272035986185073... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Head: PersonX agrees to the challenge<sep>Tail: to practice hard
Student: | No | 6 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.0307669248431921,
-0.1378864049911499,
0.4338582754135132,
-0.4417978823184967,
-0.17707990109920502,
-0.9489588737487793,
1.2424640655517578,
0.3906744122505188,
-0.7928606271743774,
-0.7778304815292358,
-0.2681069076061249,
-0.31245046854019165,
-0.6960444450378418,
0.4084371626377105... |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
[Q]: System Reference: i am sorry i am not finding any hotels in the inset area.
Original Reference: there are no hotel -s in inset.
[A]: 1
[Q]: System Reference: bund shanghai restaurant 's address is 640 jackson street.
Original Reference: bund shanghai restaurant is located at 640 jackson street.
[A]: 1
[Q]: System Reference: the hotel des arts is in the moderate price range.
Original Reference: the hotel des arts is in the moderate price range.
[A]: | 0
| 5 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.4263550639152527,
0.7972482442855835,
-0.8428908586502075,
-0.09384539723396301,
-0.17611387372016907,
-0.4867510497570038,
1.047730803489685,
0.24277305603027344,
-0.04283304512500763,
-0.1740848273038864,
-0.14858132600784302,
0.08237582445144653,
-0.14976046979427338,
-0.080968141555... |
Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
What is the part-of-speech tag of the word "had" in the following question: What is the team whose city had a 2010 population of 18,240 inhabitants ?
| VBD | 5 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.13408927619457245,
0.4349377751350403,
-0.652378261089325,
0.4578271210193634,
-0.017976704984903336,
-1.1360998153686523,
0.6802866458892822,
0.6249682903289795,
-0.7188069820404053,
-0.06621359288692474,
-0.5207573175430298,
0.38474196195602417,
-0.21188361942768097,
-0.103767499327659... |
Definition: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Input: Event:PersonX is an hour late. Intent:. XEmotion: 1) pain
Output: | angry | 2 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.5349569320678711,
-0.02391396090388298,
-0.08642876148223877,
-0.27098923921585083,
-0.7769675254821777,
-0.517501711845398,
1.1354036331176758,
0.2616420090198517,
0.5832674503326416,
-0.4713016748428345,
0.47519779205322266,
0.13990607857704163,
-0.2910260260105133,
0.3832186460494995,... |
Definition: This task is about translating a given Spanish language sentence to English.
Input: "Todavía seguiremos viéndonos", insistí.
Output: | "We will still see each other," I insisted. | 2 | NIv2 | task1692_qed_amara_translation | zs_opt | [
0.15034618973731995,
0.4814304709434509,
0.3518509566783905,
0.4031296372413635,
-0.17093607783317566,
-0.3636918067932129,
0.36804378032684326,
0.20555944740772247,
0.6437612175941467,
-0.43245968222618103,
-0.43010425567626953,
-0.04062306135892868,
-0.40435686707496643,
0.75052988529205... |
Teacher: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Teacher: Now, understand the problem? If you are still confused, see the following example:
The trophy doesn't fit into the brown suitcase because _ is too large.
Solution: trophy.
Reason: Answer is one of the objects ("trophy" and "suitcase") in the question. Since the blank is a "large" object that didn't fit the "suitcase", the answer must be "trophy".
Now, solve this instance: To protect the glass, the window had to be covered with paper, since the _ was impervious to cracking.
Student: | paper | 2 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.08542913943529129,
0.7127368450164795,
0.0991620272397995,
-0.43671905994415283,
0.00841800682246685,
-0.611969530582428,
0.4898970127105713,
0.9230645895004272,
0.5051093697547913,
-0.27710410952568054,
0.38468700647354126,
0.28735390305519104,
0.11079315096139908,
-0.05902569741010666,... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example input: I've read this book with much expectation, it was very boring all through out the book
Example output: Negative
Example explanation: Review writer does not like the book because it was boring, therefore it is a negative review.
Q: it surprisingly contained very little substance. just 1 half hour workout per disk. got boring fast too. i found better stuff free on the internet.
A: | Negative | 3 | NIv2 | task493_review_polarity_classification | fs_opt | [
-0.17123106122016907,
0.2690195143222809,
0.15907973051071167,
-0.7110711336135864,
0.6870445013046265,
-0.12025542557239532,
0.7499849200248718,
0.7427793741226196,
0.23633122444152832,
0.2659144103527069,
0.1361401230096817,
-0.896652102470398,
-0.9665743112564087,
-0.5585008859634399,
... |
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: 10 men and 15 women together can complete a work in 5 days . it takes 100 days for one man alone to complete the same work . how many days will be required for one woman alone to complete the same work ?
Options: a ) 127 days , b ) 150 days , c ) 177 days , d ) 187 days , e ) 225 days
| b | 5 | NIv2 | task1422_mathqa_physics | zs_opt | [
-0.001057834248058498,
0.9141800999641418,
-0.3099583387374878,
-0.30051833391189575,
-0.012638590298593044,
-0.02631126157939434,
-0.08008915930986404,
0.7028551697731018,
0.26003578305244446,
-0.06348677724599838,
-1.1327025890350342,
0.12564310431480408,
0.2781045436859131,
-0.021361954... |
This task is about translating a given English language sentence to French.
Q: Acceleration. And you might say Well, gee, look, my speed was constant, it's not changing if I look at this speedometer for the car here,
A: Et vous allez surement dire
****
Q: They do the test, they have these incentives, and here's what they found out: one: as long as the task involve only mechanical skill bonuses worked as they would be expected, the higher they pay the better the performance, ok?
A: Alors qu'est-ce qui se passe?
****
Q: So we've done this problem.
A: | Nous avons donc fait ce problème.
****
| 4 | NIv2 | task1689_qed_amara_translation | fs_opt | [
-0.5124722719192505,
0.5888267755508423,
0.6854419708251953,
-0.2934439182281494,
0.09098484367132187,
-0.39813169836997986,
-0.45838552713394165,
0.9462913870811462,
0.4356843829154968,
-0.11789484322071075,
-0.44108861684799194,
-0.6907027363777161,
0.16757088899612427,
-0.34141698479652... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
[EX Q]: Title: Klutzy Klaus. Sentence 1: Klutzy Klaus hated gym class. Sentence 2: He was always picked last for teams. Sentence 3: Big Jock Ben yelled at him to get to back of the line. Sentence 4: Klaus tripped on his own shoelaces and broke his leg.
[EX A]: Her hand slipped, and the camera fell into the ocean.
[EX Q]: Title: High Heel Hatred. Sentence 1: Jen did not like wearing high heels. Sentence 2: She was really clumsy, and they were hard to walk in. Sentence 3: She always chose to wear flats because of it. Sentence 4: There were many cute shoes that were not heels to wear.
[EX A]: He sprayed me with water unexpectedly.
[EX Q]: Title: Dreams. Sentence 1: Lucy dreams of being an actor. Sentence 2: She decided to move to Los Angeles. Sentence 3: Lucy went to many auditions. Sentence 4: Finally, she got her big break.
[EX A]: | It was not easy but she decided to give it up for adoption.
| 6 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.7813971638679504,
0.8931457996368408,
-0.8452239632606506,
-0.22988051176071167,
0.36244529485702515,
-0.17573261260986328,
0.24144726991653442,
0.08218495547771454,
-0.689669132232666,
-0.22726264595985413,
-0.19255416095256805,
0.5325896739959717,
-0.09170930832624435,
-0.167199343442... |
instruction:
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
question:
i still feel so agitated
answer:
anger
question:
i got some good feedback from my summary of uganda i still feel as though i missed out on a lot of things i had wanted to say that i hope ill be able to come back to later on
answer:
sadness
question:
im more attracted to him because i feel that he knows that hes weird and being a weirdo myself i figure things might work out
answer:
| surprise
| 9 | NIv2 | task512_twitter_emotion_classification | fs_opt | [
-1.3374671936035156,
0.19530530273914337,
0.5126383900642395,
-0.12502767145633698,
-0.014672555960714817,
-0.9316657781600952,
0.7628722190856934,
0.18677008152008057,
0.0001169719616882503,
0.21576493978500366,
-0.03096095845103264,
0.0715058222413063,
-0.9443952441215515,
0.472194194793... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Let me give you an example: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Question: What does Tracy need to do before this?
Options: (A) make a new plan (B) Go home and see Riley (C) Find somewhere to go
The answer to this example can be: B
Here is why: Tracy finds somewhere to go and didn't come home because she has to resist Riley's attacks. So, C is the correct answer and B is acceptable as an incorrect answer.
OK. solve this:
Context: Bailey was trying to grow fruit and vegetables at the local allotment but Bailey soon realised that if he joined forces with the others who worked at the allotment they would be much more productive and successful.
Question: How would you describe Bailey?
Options: (A) smart (B) lazy (C) stupid
Answer: | B | 8 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
-0.09325775504112244,
0.8998022675514221,
0.07734967768192291,
0.2782752513885498,
0.34320420026779175,
-0.8922520279884338,
0.29582154750823975,
0.5133134126663208,
-0.2868821322917938,
0.44782137870788574,
-0.7305914163589478,
0.15203261375427246,
0.018015112727880478,
-0.527874231338501... |
Instructions: Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY (if no one is wrong in the situation).
Input: English is not my native language bear with me guys please. First off, In my country simply moving out of parent's house is a big deal (unless you get married or something) and it's mostly considered disrespectful to parents. I am 23 and still live with my mom and her husband (a very good person) but me and my mom fight like 90% of the time. About everything, and by everything I mean EVERY small thing. We both get mad easily and can fight forever and it has been like that for years. Basically we are the source of each other's anxiety. Today I've had enough and said I wanted to move out. She started crying and lowkey called me ungrateful. The thing is I am very grateful, she raised me alone and is paying for my education, but I just can't stand the constant yelling at home anymore. I don't wanna hurt her, but by staying at home we hurt each other. So, am I an asshole for saying that knowing she'd get very upset?
Output: | NOBODY | 3 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
-0.012860472314059734,
0.5657080411911011,
0.3030850291252136,
0.02281680330634117,
-0.07144580781459808,
-0.11879178881645203,
0.4205705523490906,
0.7074991464614868,
0.27296918630599976,
-0.2804889976978302,
-0.16257986426353455,
0.5174064636230469,
-1.2904610633850098,
-0.16484504938125... |
Detailed Instructions: Given a sentence in Bulgarian, generate a new Bulgarian 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.
Problem:Изделието е направено от пластмаса.
Solution: | Кредитна карта се извършва от (. | 8 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
0.1835155189037323,
0.5593736171722412,
-0.16979536414146423,
-0.46980488300323486,
-0.019843814894557,
-0.6854208707809448,
0.6088590621948242,
0.362723171710968,
0.4712194800376892,
0.0023767671082168818,
-0.7974627017974854,
0.8635398149490356,
-0.38720864057540894,
0.2052568942308426,
... |
Detailed Instructions: In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.
See one example below:
Problem: Fact: deep sea animals live deep in the ocean. Question: Frilled sharks and angler fish live far beneath the surface of the ocean, which is why they are known as?
Solution: Deep sea animals
Explanation: This is the correct answer since the fact says that deep sea animals live deep in the ocean and the question asks for what fish who live deep in the ocean are called.
Problem: Fact: thermal conduction is when materials conduct heat through those materials. Question: Thermal conduction is when materials conduct what through those materials?
Solution: | hotness | 4 | NIv2 | task1399_obqa_answer_generation | fs_opt | [
-0.16949047148227692,
-0.30953067541122437,
-0.8596404790878296,
0.07157821208238602,
-0.44569626450538635,
-0.6724936366081238,
0.16946324706077576,
-0.3902209997177124,
-0.3922092616558075,
-0.033646341413259506,
-0.08238404989242554,
0.19703057408332825,
-0.9127030372619629,
0.301823437... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Sentence: The hairdresser was clumsy around the physician and nearly cut him.
Profession: physician | Identifiable | 0 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-1.3789423704147339,
0.852250337600708,
0.026489082723855972,
-0.8506976962089539,
0.003931831568479538,
0.25918048620224,
-0.06660936772823334,
0.8253722190856934,
0.5691843032836914,
0.25468194484710693,
-1.28916597366333,
0.02874945104122162,
0.1461763083934784,
-0.31901800632476807,
... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: مثل کسانى که به پروردگار خود کافر شدند، کردارهایشان به خاکسترى مىماند که بادى تند در روزى طوفانى بر آن بوزد: از آنچه به دست آوردهاند هیچ [بهرهاى] نمىتوانند برد. این است همان گمراهى دور و دراز.
A: Like ashes are the deeds of those who deny their Lord, which the wind blows away on a windy day. They shall have no power over what they earned. This is the farthest limit of going astray.
****
Q: اى کسانى که ایمان آوردهاید، از چیزهایى که اگر براى شما آشکار گردد شما را اندوهناک مىکند مپرسید. و اگر هنگامى که قرآن نازل مىشود، در باره آنها سؤال کنید، براى شما روشن مىشود. خدا از آن [پرسشهاى بیجا] گذشت، و خداوند آمرزنده بردبار است.
A: O believers, do not ask about things which, if made known to you, may vex you. But if you ask about them when the Qur'an is being revealed they will be unfolded to you. God has overlooked (your failings) in this (respect), for God is forgiving and forbearing.
****
Q: گفت: «پناه به خدا، که جز آن کس را که کالاى خود را نزد وى یافتهایم بازداشت کنیم، زیرا در آن صورت قطعا ستمکار خواهیم بود.»
A: | May God forgive us, he said, "if we hold any one but him with whom we found our property, or else we would be unjust."
****
| 4 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.13381731510162354,
0.6170558929443359,
0.09883695840835571,
-0.66275954246521,
-0.6088628768920898,
-0.8642314672470093,
0.7390435338020325,
0.962171733379364,
-0.11814172565937042,
0.5507265329360962,
-0.7365360260009766,
0.6001833081245422,
-0.49322840571403503,
-0.07419656962156296,
... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Sentence1: Is there ones that are on the more expensive price range? Sentence2: At the moderate price range, how about the Bridge Guest House? Sentence3: You might want to try alexander bed and breakfast. Sentence4: That'll be fine. I would like to book 2 people for 2 nights starting on tuesday. Sentence5: I would like free wifi and it needs to have at least 3 stars. Sentence6: No thats all, thank you very much! Sentence7: I'm sorry booking was unsuccessful. Would you like to try for a shorter stay? Sentence8: I was able to get the Bridge Guest House for 2 people for Tuesday night. Can I help you with anything else? Sentence9: Yes, I'll need the reference number for that booking. Sentence10: I'm curious about places to get a room for the night that are on the cheap end of the spectrum. Sentence11: The Reference number is : 3YXIHQLI . Can I assist you any further? Sentence12: I can't find anything that fits my criteria Sentence13: Thanks for using our services. Sentence14: Sure, can you book it for 1 night? Question: Who has spoken the sentence 9? (A) User (B) System | Answer: (B) System | 0 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.5092526078224182,
0.9666911363601685,
-0.3107141852378845,
-0.5766091346740723,
-0.020849335938692093,
-0.43702074885368347,
0.47694340348243713,
1.2150312662124634,
-0.3187335729598999,
0.047438256442546844,
-0.2756933569908142,
0.03292745351791382,
-0.8337746858596802,
-0.2935864925384... |
Instructions: In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been separated by a newline character.
Input: «بازگشت به خویشتن»، بهعنوان گفتمان اصلی شریعتی، راهحلی بود که ایشان به جامعه تجویز میکرد.
مطهری گفتمان بازگشت به خویشتن را تالیف کرده است.
Output: | C | 3 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.3531917631626129,
0.7125786542892456,
-0.1446126401424408,
0.216157466173172,
-0.45967942476272583,
0.15627935528755188,
1.0889675617218018,
0.10627220571041107,
0.41588273644447327,
-0.3597317337989807,
-0.6493765711784363,
0.26950305700302124,
-0.14556005597114563,
-0.2574799656867981... |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Input: Consider Input: System Reference: can i double check you want a hotel that has internet?
Original Reference: are you asking if the hotel has internet?.
Output: 0
Input: Consider Input: System Reference: may i ask near where?
Original Reference: are you looking for a hotel nearby?.
Output: 0
Input: Consider Input: System Reference: can i confirm what area you are looking for a hotel near?
Original Reference: can i ask near where?.
| Output: 0
| 2 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-1.0011801719665527,
1.0414142608642578,
-0.42655283212661743,
0.18929526209831238,
-0.06801499426364899,
-0.893873929977417,
1.064361333847046,
0.5311154127120972,
-0.19074565172195435,
-0.003409028984606266,
-0.8449621200561523,
0.19396594166755676,
-0.5463985204696655,
-0.55450904369354... |
Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You can change the rest of the question provided the above requirements are satisfied. The new question must have a natural, fluent formulation, as if it were composed by a native English speaker. You will be given three pieces of information to help you create better questions. Those are: "Answer": the answer to the question, e.g., "Honolulu". "Answer Type": the type of the answer, e.g., "Location". "Auxiliary Information" is a detailed description of some concepts mentioned in the question, if any.
[Q]: original question: Which multipart tv episode is about the subject of [High school]?
answer: friends, family, and freeloaders, part 2, friends, family, and freeloaders
answer type: Multipart TV episode.
auxiliary information: A high school is a school that provides adolescents with part or all of their secondary education. It may come after primary school or middle school and be followed by higher education or vocational training.
[A]: Which multipart television show is about the subject of [High school]?
[Q]: original question: Which state has the capital [Lucknow]
answer: uttar pradesh
answer type: Indian state.
auxiliary information: Lucknow is the capital city of the state of Uttar Pradesh, India. A major metropolitan city of India, Lucknow is the administrative headquarters of the eponymous District and Division. It is the 10th most populous city of India and the second largest in North India after Delhi. Lucknow has always been known as a multicultural city that flourished as a North Indian cultural and artistic hub and seat of Nawab power in the 18th and 19th centuries. It continues to be an important centre of government, education, commerce, aerospace, finance, pharmaceuticals, technology, design, culture, tourism, music and poetry. The city stands at an elevation of approximately 123 metres above sea level and covers an area of 2,528 square kilometres. Bounded on the east by the Barabanki District, on the west by Unnao District, on the south by Raebareli and in the north by Sitapur and Hardoi, Lucknow sits on the northwestern shore of the Gomti River. Hindi is the main language of the city and Urdu is also widely spoken. Lucknow is the centre of Shia Islam in India with highest Shia Muslims population in India. It is accessible from every part of India by air, rail and road.
[A]: [Lucknow] is the capital one what state?
[Q]: original question: In which measurement system [Becquerel] is the radioactivity unit?
answer: international system of units
answer type: Measurement System.
auxiliary information: The becquerel is the SI derived unit of radioactivity. One Bq is defined as the activity of a quantity of radioactive material in which one nucleus decays per second. The Bq unit is therefore equivalent to an inverse second, s‚àí1. The becquerel is named after Henri Becquerel, who shared a Nobel Prize with Pierre Curie and Marie Curie in 1903 for their work in discovering radioactivity.
[A]: | [Becquerel] is a radioctivity unit within which system of measurement?
| 5 | NIv2 | task402_grailqa_paraphrase_generation | fs_opt | [
-0.10516729205846786,
0.7327485084533691,
-0.03671311214566231,
-0.5490882396697998,
0.37035882472991943,
0.08549411594867706,
0.6018856167793274,
1.1643598079681396,
-0.8699353933334351,
-0.26731008291244507,
-0.4867236912250519,
1.1740838289260864,
-0.7619696855545044,
0.4401518702507019... |
Q: In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is unnecessary to answer the question.
Justin was laid off from work. He saw a job posting from the local jail. Justin was qualified to be a prison guard. He went through the application process. The jail hired Justin.
Why did He see a job posting from the local jail?
A: | He saw a job posting from the local jail. | 7 | NIv2 | task332_tellmewhy_answer_generation | zs_opt | [
-0.07581456750631332,
0.8431326150894165,
-0.09013686329126358,
-0.1362135112285614,
-0.2740676999092102,
-0.8758164644241333,
0.3102549910545349,
0.21310406923294067,
0.17232097685337067,
0.13282014429569244,
-0.6093665957450867,
0.014865607023239136,
-0.5097203254699707,
0.41550570726394... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
One example is below.
Q: Question1: How do I get into my Instagram if I forgot my email and my Facebook password?, Question2: I forgot my password and also my email password. how can I get back that account?
A: Yes
Rationale: These questions have the meaning and the same answer. So, the output should be "Yes".
Q: Question1: What are the benefits of a cashless economy? Are there any disadvantages too?, Question2: What are some disadvantages of the informal economy?
A: | No | 9 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.04297072812914848,
0.8100394010543823,
-0.1147303655743599,
0.11457319557666779,
-0.20925280451774597,
-0.3403516113758087,
1.126429557800293,
0.8620787262916565,
0.06813794374465942,
0.0649600401520729,
-0.3313366770744324,
-0.4944021999835968,
-0.6162521243095398,
-0.4008362293243408,... |
In this task, you are given a food review in Persian, and you have to extract aspects of the food mentioned in the text. We define aspects as taste/smell(طعم), nutritional value(ارزش غذایی), product quality(کیفیت), delivery(ارسال), packaging(بسته بندی) and purchase value/price(ارزش خرید). Although there might be multiple aspects in a review, we only need you to write one aspect.
Ex Input:
همواره تخم مرغ تلاونگ را خریدم . دارای کیفیت و طعم خوبی است.
Ex Output:
کیفیت
Ex Input:
این بار خوشم نیومد خیلی شیرین و سفت و بی کیفیت بود
Ex Output:
طعم
Ex Input:
طعم پپسی اصل رو نمیداد با اینکه روی قوطی نوشته شده اصل
Ex Output:
| طعم
| 1 | NIv2 | task529_parsinlu_food_aspect_detection | fs_opt | [
-0.9818751811981201,
0.22939087450504303,
0.3169704079627991,
0.42561304569244385,
-0.1680631935596466,
0.6227883100509644,
0.7437593936920166,
0.2450314164161682,
-0.4644498825073242,
0.2598037123680115,
-0.2934262156486511,
0.42259591817855835,
-0.6542236804962158,
0.3598552346229553,
... |
Detailed Instructions: 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.
Problem:Head: PersonX receives an invitation<sep>Tail: part of a group
Solution: | Yes | 8 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.0377228781580925,
0.3266012668609619,
0.29373422265052795,
-0.2506914734840393,
-0.2713215947151184,
-1.3116405010223389,
1.295990228652954,
0.19787192344665527,
-0.5560872554779053,
-0.28936469554901123,
0.04040446877479553,
-0.15386009216308594,
-0.7411605715751648,
0.3673716783523559... |
In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example: Effektiv und mit viel Spaß lernen . Ich habe mir dieses Buch zu Weihnachten gewünscht um Schwedisch zu lernen. Ich war von vorne weg begeistert! Das Buch bietet nicht einfach langweilige Texte und Vokabeln! Nein! Sondern zu (fast) jeder Aufgabe gibt es einen Audioguide (wird auf CD mitgeliefert) , so lernt man direkt auch die Aussprache. Es gibt Aufgaben in denen man auch das Schriftliche üben kann und man lernt auch Schwedische Sitten gleich dazu. Die Aussprache vom Audioguide ist langsam und deutlich. Ideal zum lernen! Die Seitenzahlen des Buches sind auch in Schwedisch ausgeschrieben (fand ich persönlich eine lustige Idee) Ebenfalls gibt es Vokabeln zum lernen und Lösungen zu jeder Aufgabe (für Kontrollzwecke).
Example solution: POS
Example explanation: The overall sentiment of the review is positive as the reviewer refers to the book with positive expressions such as 'mit viel Spaß lernen', 'Ideal zum lernen' etc. Hence, the label is 'POS'.
Problem: Eine Qual über 350 Seiten . Nachdem ich Veronika beschließt zu sterben gelesen habe und von dem Buch sehr angetan war, war ich gespannt auf den Zahir. Doch leider erwies sich das Buch als langweiliges Esoterikgelaber. Anders kann ich das leider nicht sehen. Ein sich selbser bemitleidender Mann, der seltsame esoterische Begegnungen macht, die für mich persönlich nicht allzuviel Sinn ergeben und dazwischen viele Seiten pure Langeweile. Trotzdem habe ich es zu Ende gelesen, weil ich immer gehofft habe, das es noch besser wird, aber man sollte wohl seiner Intuition schon nach den ersten 50 Seiten vertrauen und solche Bücher einfach nicht zu Ende lesen.
| Solution: NEG | 5 | NIv2 | task479_cls_german_books_classification | fs_opt | [
-0.2305164337158203,
0.09329007565975189,
0.1270337849855423,
-0.6852506995201111,
0.5673091411590576,
-0.001910385675728321,
1.4293134212493896,
0.26112449169158936,
0.5014724731445312,
0.25962793827056885,
-0.0733906477689743,
-0.374439001083374,
-0.4598863124847412,
-0.03859732300043106... |
Given the task definition, example input & output, solve the new input case.
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.
Example: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. He is one of the first American composers of international renown, though his music was largely ignored during his life, and many of his works went unperformed for many years. Over time, he came to be regarded as an "American original". He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Context_2 : Daniel Evan Freeman (born 27 April 1959) is an American musicologist who specializes in European art music of the eighteenth century, in particular the musical culture of eighteenth-century Prague and the Bohemian lands. He is also active as a pianist and music editor. Context_3 : Art music (also known as Western classical music, cultivated music, serious music, canonic music, and more flippantly, real music or normal music) is an umbrella term that refers to musical traditions, implying advanced structural and theoretical considerations and a written musical tradition. "Serious" or "cultivated" music are terms frequently used as a contrast for ordinary, everyday music (popular and folk music, also called "vernacular music"). After the 20th century, art music was divided into two extensions: "serious music" and "light music". Context_4 : In the history of European art music, the term "common practice period" refers to the era between the formation and the dissolution of the tonal system. Though there are no exact dates for this phenomenon, most features of the common-practice period persisted from the mid to late baroque period, through the Classical and Romantic periods, or roughly from around 1650 to 1900. While certain prevailing patterns and conventions characterize the music of this period, the time period also saw considerable stylistic evolution. Some conventions evolved during this period that were rarely employed at other times during what may still be labeled "common practice" (for example, Sonata Form). Thus, the dates 1650–1900 are necessarily nebulous and arbitrary borders that depend on context. The most important unifying feature through this time period concerns a harmonic language to which modern music theorists can apply Roman numeral analysis. Context_5 : The Festival Oude Muziek Utrecht ("Utrecht Early Music Festival") is an annual music festival that showcases and celebrates early European art music. The ten-day festival takes place in the Dutch city of Utrecht, and begins in August. The programme comprises concerts, activities, lectures, exhibitions, and a symposium. Context_6 : Assaf Shelleg (Hebrew: אסף שלג ), is a musicologist and pianist, a senior lecturer of musicology at The Hebrew University of Jerusalem. He was previously the Schusterman Visiting Assistant Professor of Musicology and Jewish Studies in the Department of Religious Studies at the University of Virginia (2011–14), and had taught prior to that as the visiting Efroymson Scholar in the Jewish, Islamic & Near Eastern Languages and Cultures Department at Washington University in St. Louis (2009–11). Shelleg specializes in twentieth-century Jewish and Israeli art music and has published in some of the leading journals in both musicology and Israel Studies on topics ranging from the historiography of modern Jewish art music to the theological networks of Israeli art music. Shelleg's book, "Jewish Contiguities and the Soundtrack of Israeli History", appeared in November 2014 with Oxford University Press. The book studies the emergence of modern Jewish art music in central and Western Europe (1910s-1930s) and its translocation to Palestine/Israel (1930s-1970s), exposing the legacies of European antisemitism and religious Judaism in the making of Israeli art music. Moving to consider the dislocation of modern Jewish art music the book examines the paradoxes embedded in a Zionist national culture whose rhetoric negated its pasts, only to mask process of hybridizations enchained by older legacies. "Jewish Contiguities" has won the 2015 Engle Prize for the study of Hebrew Music, and the 2016 Jordan Schnitzer Book Award. Context_7 : Vocal harmony is a style of vocal music in which a consonant note or notes are simultaneously sung as a main melody in a predominantly homophonic texture. Vocal harmonies are used in many subgenres of European art music, including Classical choral music and opera and in the popular styles from many Western cultures ranging from folk songs and musical theater pieces to rock ballads. In the simplest style of vocal harmony, the main vocal melody is supported by a single backup vocal line, either at a pitch which is above or below the main vocal line, often in thirds or sixths which fit in with the chord progression used in the song. In more complex vocal harmony arrangements, different backup singers may sing two or even three other notes at the same time as each of the main melody notes, mostly with consonant, pleasing-sounding thirds, sixths, and fifths (although dissonant notes may be used as short passing notes). Context_8 : David Wallis Reeves (February 14, 1838 – March 8, 1900), also known as D. W. Reeves or Wally Reeves, was an American composer, cornetist, and bandleader. He developed the American march style, later made famous by the likes of John Philip Sousa, and his innovations include adding a countermelody to the American march form in 1876. Sousa called Reeves "The Father of Band Music in America", and stated he wished he himself had written Reeves' "Second Regiment Connecticut National Guard March". Charles Ives also borrowed from the "Second Connecticut" on four occasions. Context_9 : "Indian classical music is one of many forms of art music that have their roots in particular regional cultures. For other "classical" and art music traditions, see List of classical and art music traditions." Context_10 : Progressive music is music that subverts genre and expands stylistic boundaries outwards. Rooted in the idea of a cultural alternative, musical progressiveness embodies a continuous move between explicit and implicit references to genres and strategies derived from various cultural domains, such as European art music, Celtic folk, West Indian, or African. The word "progressive" comes from the basic concept of "progress", which refers to development and growth by accumulation, and is often deployed in numerous music genres such as progressive country, progressive folk, progressive jazz, and (most significantly) progressive rock. fact_1 : Charles Ives also borrowed from the "Second Connecticut" on four occasions. fact_2 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. fact_3 : He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Answer: 1874May
Output: What is the birthyear of the American composer that borrowed from "Second Connecticut" on four occasions and combined American popular and church-music traditions with European art music?
From the fact_1 from context _8, and fact _2 and fact _3 from context _1, we can arrive at 1874 May which is accurate answer of generated question.
New input case for you: Context_1 : An American Tail is a franchise based on the 1986 animated film of the same name directed by Don Bluth and produced by Sullivan Bluth Studios/Amblin Entertainment. Context_2 : An American Tail: Fievel Goes West (Japanese: アメリカ物語2/ファイベル西へ行く , Hepburn: Amerika Monogatari 2/Faiberu nishi e Iku ) is a Super NES video game released in 1994. It is the second game released based on the , the other title being an adventure game for the PC, published by Capstone Software. Context_3 : "Somewhere Out There" is a 1986 song released by MCA Records and recorded by American singers Linda Ronstadt and James Ingram for the soundtrack of the 1986 animated film "An American Tail", directed by Don Bluth. It was written by James Horner, Barry Mann and Cynthia Weil with production done by Peter Asher and Steve Tyrell serving as the associate producer. Context_4 : Amblimation was the animation production arm of Steven Spielberg's Amblin Entertainment. The studio was shut down in 1997 and some of the Amblimation staff went on to join DreamWorks Animation. It was known for its quieter atmosphere, more subdued acting, and more atmospheric pace compared to a great deal of American animated films; these qualities usually led to underperformance at American box offices and may have factored in the decision to close the studio down. The company's mascot, Fievel Mousekewitz ("An American Tail"), appears in its production logo. It only made 3 films. A project to adapt the 1981 Andrew Lloyd Webber musical "Cats" was in the making, but was abandoned with the studio's closure. Context_5 : A Troll in Central Park (released in some countries as Stanley's Magic Garden) is a 1994 American animated musical fantasy-comedy film directed by Don Bluth and Gary Goldman, creators of "Rock-A-Doodle", "The Land Before Time", "All Dogs Go to Heaven", "The Secret of NIMH" and "An American Tail". It was released on October 7, 1994, by Warner Bros. Family Entertainment. The film grossed $71,368 at the North American box office. Context_6 : "Dreams to Dream" is a song from the 1991 animated feature film "", directed by Phil Nibbelink and Simon Wells, with music by James Horner and lyrics by Will Jennings, based on a short instrumental piece from its prequel "An American Tail" (1986). The original version was sung by Cathy Cavadini in her role of Tanya Mousekewitz during the film. Context_7 : The Jungle Book is a 1967 American animated musical adventure film produced by Walt Disney Productions. Inspired by Rudyard Kipling's book of the same name, it is the 19th Disney animated feature film. Directed by Wolfgang Reitherman, it was the last film to be produced by Walt Disney, who died during its production. The plot follows Mowgli, a feral child raised in the Indian jungle by wolves, as his friends Bagheera the panther and Baloo the bear try to convince him to leave the jungle before the evil tiger Shere Khan arrives. Context_8 : An American Tail is a 1986 American animated musical adventure family comedy-drama film directed by Don Bluth and produced by Sullivan Bluth Studios and Amblin Entertainment. It tells the story of Fievel Mousekewitz and his family as they emigrate from Russian Empire-controlled territory of Ukraine to the United States for freedom. However, he gets lost and must find a way to reunite with them. It was released on November 21, 1986, to reviews that ranged from positive to mixed and was a box office hit, making it the highest-grossing non-Disney animated film at the time. The success of it, "The Land Before Time", and Disney's "Who Framed Roger Rabbit", as well as Bluth's departure from their partnership, prompted Steven Spielberg to establish his own animation studio, Amblimation. Context_9 : An American Tail: Fievel Goes West (also known as An American Tail II: Fievel Goes West & An American Tail II) is a 1991 American animated comedy western film produced by Steven Spielberg's Amblimation animation studio and released by Universal Pictures. It is the sequel to "An American Tail", and the last installment in the series to be released theatrically. Two direct-to-video sequels were released in the late 1990s. A continuation, "Fievel's American Tails", aired on CBS in 1992. Context_10 : Marco Polo Junior Versus the Red Dragon is a 1972 Australian animated musical adventure film directed by Eric Porter, written by Sheldon Moldoff, and was the country's first animated feature film. The two sequence directors were Porter's animation director Cam Ford (who had previously worked on the Beatles' "Yellow Submarine") and Peter Gardiner. fact_1 : "Dreams to Dream" is a song from the 1991 animated feature film "", directed by Phil Nibbelink and Simon Wells, with music by James Horner and lyrics by Will Jennings, based on a short instrumental piece from its prequel "An American Tail" (1986). fact_2 : An American Tail is a 1986 American animated musical adventure family comedy-drama film directed by Don Bluth and produced by Sullivan Bluth Studios and Amblin Entertainment. Answer: 1986
Output: | Dreams to Dream is a song from the 1991 animated feature film An American Tail: Fievel Goes West, based on a short instrumental piece from its prequel An American Tail, released in which year, an American animated musical adventure family comedydrama film directed by Don Bluth? | 1 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.7686780691146851,
0.331909716129303,
-0.8883602619171143,
0.9677903056144714,
0.6835002899169922,
-0.01891596056520939,
0.6804456114768982,
0.5217878818511963,
-0.09768174588680267,
0.4193882942199707,
-0.06787365674972534,
0.5116052627563477,
-0.8114304542541504,
-0.09846308827400208,
... |
instruction:
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any content in the given question beyond a word or two i.e. the trigger word/phrase. PersonX and PersonY should not be equally likely to fill the blank. For your question, PersonY should be a well-agreed answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people or generic names (e.g., Donald Trump, John Doe, etc.) in your question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that PersonX and PersonY have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY. Although there are many correct answers, you only need to write one of them.
question:
Context Word: complicated.
Question: Understanding complicated equations was harder for PersonX than PersonY because _ had not taken any math courses in college.
Answer: PersonX
answer:
Understanding complicated equations was harder for PersonX than PersonY because _ had taken many math courses in college.
question:
Context Word: Mono.
Question: personx contacted mono from persony when they were playing and _ confronted him about it.
Answer: PersonX
answer:
personx contacted mono from persony when they were playing and _ was sorry about it.
question:
Context Word: pregnant.
Question: PersonX got pregnant from PersonY, so _ had to push really hard when it was time for the baby to come out.
Answer: PersonX
answer:
| PersonX got pregnant from PersonY, so _ had to be really supportive when it was time for the baby to come out.
| 9 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
1.1305700540542603,
0.32891297340393066,
-0.5403134226799011,
-0.23037171363830566,
0.23206400871276855,
-0.9368106126785278,
1.6036624908447266,
0.8126100897789001,
-0.07083815336227417,
-0.701695442199707,
-0.3846205174922943,
0.07957274466753006,
-0.9489514827728271,
0.37246018648147583... |
Detailed Instructions: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
See one example below:
Problem: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McDonald's and Subway are examples of a franchise. The small business owner can leverage a strong brand name and purchasing power of the larger company while keeping their own investment affordable. However, some franchisees conclude that they suffer the "worst of both worlds" feeling they are too restricted by corporate mandates and lack true independence. It is an assumption that small business are just franchisees, but the truth is many franchisers are also small businesses, Although considered to be a successful way of doing business, literature has proved that there is a high failure rate in franchising as well, especially in UK, where research indicates that out of 1658 franchising companies operating in 1984, only 601 remained in 1998, a mere 36%.
question: can a franchise be considered a small business?
Solution: Yes
Explanation: Based on the passage, a franchise can be considered a small business.
Problem: passage: A sheep in its first year is called a lamb, and its meat is also called lamb. The meat of a juvenile sheep older than one year is hogget; outside the USA this is also a term for the living animal. The meat of an adult sheep is mutton, a term only used for the meat, not the living animals. In the Indian subcontinent the term mutton is also used to refer to goat meat.
question: is a sheep the same as a lamb?
Solution: | Yes | 4 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.2301686704158783,
0.42887336015701294,
0.2753244936466217,
0.13559752702713013,
-0.21851614117622375,
0.8304365277290344,
0.5358002185821533,
0.8808187246322632,
-0.09303256124258041,
-0.08140011131763458,
-0.4762963056564331,
-0.030736073851585388,
-0.4114898145198822,
0.26129436492919... |
Detailed Instructions: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Q: Sentence: 'a cargo train is sitting at a train station'. Count the number of consonants in the given sentence.
A: | 20 | 9 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.46253615617752075,
0.37252938747406006,
-0.7646728157997131,
-0.4137830436229706,
0.19034934043884277,
-0.3985246419906616,
-0.2690657377243042,
0.46436551213264465,
0.1787727326154709,
-0.46390461921691895,
-0.47073858976364136,
-0.6448376774787903,
0.06862802058458328,
-0.4597763419151... |
Detailed Instructions: You are provided with an arithmetic question. Your task is to compute the solution using the given arithmetic operations. The only arithmetic operators needed to answer the questions are'+'(addition) and'-'(subtraction). The answer should be correct to one decimal place.
Q: Shannon and her family use up a lot of strawberry and blueberry jelly, since they eat toast every morning. At the moment, they have acombined total of 6310 grams of jelly. If they have 4518 grams ofblueberry jelly, how many grams of strawberry jelly do they have?
A: | 1792.0 | 9 | NIv2 | task745_ai2_arithmetic_questions_arithmetic | zs_opt | [
0.34923386573791504,
0.8854683637619019,
-0.5185763835906982,
-0.27497321367263794,
-0.42781543731689453,
0.2811187505722046,
1.0421643257141113,
0.6922802329063416,
0.17791832983493805,
-0.5410107374191284,
-0.2189091145992279,
-0.23811858892440796,
-0.43508297204971313,
-0.28766363859176... |
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