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Detailed Instructions: In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
Q: Absurd values Shows 6300mA on battery and 5000+mA values on charging!
A: | Negative | task761_app_review_classification | NIv2 | zs_opt | 9 | train |
In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
One example: Fantastic app! When I connect my BT headset I have it set to read important notifications - add that to Google Now's ability to create texts reminders and calendar events... | Positive | task761_app_review_classification | NIv2 | fs_opt | 6 | train |
In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
Ex Input:
Works Great. Works great on a 2015 Medion Lifetab S10346 (MD99282). 10.1"""""""""""""""". Android 5. Watson wideband 100Khz-2Ghz model W-SDRX1 rtl dongle based receiver. Mostly Amatuer Band ... | Negative
| task761_app_review_classification | NIv2 | fs_opt | 1 | train |
instruction:
In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
question:
Don't worked
answer:
Negative
question:
Awesome app Just what I've been looking for.
answer:
Positive
question:
Works great. Thanks!
answer:
| Positive
| task761_app_review_classification | NIv2 | fs_opt | 9 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
Does not working
Output: | Negative | task761_app_review_classification | NIv2 | zs_opt | 1 | train |
Instructions: In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
Input: Reading only 15mA Installed on my stock tmobile d801 G2 running 5.0.2. Only displays 15mA.
Output: | Negative | task761_app_review_classification | NIv2 | zs_opt | 3 | train |
Detailed Instructions: In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
See one example below:
Problem: Fantastic app! When I connect my BT headset I have it set to read important notifications - add that to Google Now's ability to c... | Positive | task761_app_review_classification | NIv2 | fs_opt | 4 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
great
Output: | Positive | task761_app_review_classification | NIv2 | zs_opt | 1 | train |
Given the task definition and input, reply with output. In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
Doesn't show up at all
| Negative | task761_app_review_classification | NIv2 | zs_opt | 5 | test |
In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
Amazing!!! Works like a charm! Nice feature to save recordings into file. Would be even better to transmit from file on HackRF! 73 SQ7MHZ
Positive
Great!
Positive
It used to display the charge curre... | Negative
| task761_app_review_classification | NIv2 | fs_opt | 0 | validation |
Given the task definition and input, reply with output. In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Very disappointed in this place. Their food is alright... | NEGATIVE | task475_yelp_polarity_classification | NIv2 | zs_opt | 5 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
AWESOME, busy place... so order a... | POSITIVE | task475_yelp_polarity_classification | NIv2 | zs_opt | 1 | train |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
[EX Q]: You know, maybe I am a diva or I just expect too much. But when I get the worst possible service know... | POSITIVE
| task475_yelp_polarity_classification | NIv2 | fs_opt | 6 | train |
Definition: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Input: Went there recently. Bar service was slow. Food was excellent. Had the Turkey, Swiss, and Mu... | NEGATIVE | task475_yelp_polarity_classification | NIv2 | zs_opt | 2 | train |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Q: Good atmosphere but bad food and service. The $60 Steak I ordered was burned and we had to wait another 30 m... | NEGATIVE | task475_yelp_polarity_classification | NIv2 | zs_opt | 4 | train |
Part 1. Definition
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Part 2. Example
This is my go to place to get the best chicken Pad Thai! Also the price is s... | NEGATIVE | task475_yelp_polarity_classification | NIv2 | fs_opt | 7 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Solid pizza for a very affordable... | POSITIVE | task475_yelp_polarity_classification | NIv2 | zs_opt | 1 | train |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Q: We went for a bachelorette party on a Saturday night. The music was great, the crowd was energizing, and we... | NEGATIVE
****
| task475_yelp_polarity_classification | NIv2 | fs_opt | 4 | train |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Input: Consider Input: Food not so good.\nDrinks weak.\nPrices sky high.\nService really sucks.\n\nbleh.
Outp... | Output: NEGATIVE
| task475_yelp_polarity_classification | NIv2 | fs_opt | 2 | test |
Detailed Instructions: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Q: Complete lack of integrity and honesty! Buyer Beware. The owner Derek Frader will lie... | NEGATIVE | task475_yelp_polarity_classification | NIv2 | zs_opt | 9 | validation |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: W rzeczywistości, jeśli przyjrzeć się rzeczom bliżej, jeśli spojrzeć na podstawową strukturę materii, nic się tam nie znajdzie.
Student: | De facto, se vocês olharem mesmo de muito perto para as coisas, se olharem para a infraestrutura fundamental da matéria, não há lá nada. | task1264_ted_translation_pl_pt | NIv2 | zs_opt | 6 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Q: Ale granice wciąż istnieją w pewnym rejonach cyberprzestrzeni.
A: | Mas, as fronteiras persistem em algumas partes do ciberespaço. | task1264_ted_translation_pl_pt | NIv2 | zs_opt | 4 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Example: Media łączyły się z nami.
Example solution: Os "" media "" interligavam-se connosco.
Example explanation: The Polish sentence is correctly translated into Portugese, because the meaning is preserved.
Problem: Pocz... | Solution: No princípio, o sistema está desorganizado. | task1264_ted_translation_pl_pt | NIv2 | fs_opt | 5 | train |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Przechodzą przez dwu-trzytygodniowe szkolenie oparte na specjalnym programie.
| Passam por duas a três semanas de treino e educação rigorosos, com base curricular. | task1264_ted_translation_pl_pt | NIv2 | zs_opt | 5 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
(Śmiech) Robimy dużo szalonych rzeczy w życiu, i chcemy działać lokalnie. Czyli co?
(risos) Nós fizemos muitas coisas loucas nas nossas vidas, e dissemos, ok, local. O que é que local significa?
Nie chodzi tylko o aborcję... | Em todo o caso, ele era fotógrafo, era educador de rua, e ele sempre nos ensinou a obedecer estritamente às leis.
| task1264_ted_translation_pl_pt | NIv2 | fs_opt | 0 | train |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Q: Żeby wziąć prysznic, szłam 40 przecznic do siłowni. Żeby wziąć prysznic, szłam 40 przecznic do siłowni.
A: | Para tomar um duche, andei 40 quarteirões até uma sucursal do meu ginásio. | task1264_ted_translation_pl_pt | NIv2 | zs_opt | 9 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Q: Pamiętam, jak słyszałem, jak Whitney Houston śpiewa: "" Nieważne, co mi zabiorą, godności mi nie odbiorą "".
A: Lembro-me de uma vez ouvir Whitney Houston a cantar: "Não importa o que me tiram, não podem tirar-me a dig... | "Dê-me a liberdade ou dê-me a morte" é muito bom e justo se vocês puderem aproveitar, mas se vocês ganharem um dólar ou menos por dia, estarão demasiado ocupados a tentar sobreviver e a cuidar das vossas famílias para gastarem o vosso tempo por aí a tentar proclamar e defender a democracia.
****
| task1264_ted_translation_pl_pt | NIv2 | fs_opt | 4 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Ex Input:
Mikrofon pozwolił wokalistom a także muzykom i kompozytorom kompletnie zmienić rodzaj muzyki którą pisali.
Ex Output:
Os microfones permitiam aos cantores, em particular, e aos músicos e compositores mudar compl... | Mas se virem isso por uma perspetiva diferente, podem criar algo muito interessante, conceitos mais originais.
| task1264_ted_translation_pl_pt | NIv2 | fs_opt | 1 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Ex Input:
Skóra się łuszczy, włosy i paznokcie rosną i tak dalej.
Ex Output:
A pele descama-se, o cabelo cresce, as unhas, esse género de coisas.
Ex Input:
Dziś lista możliwych kształtów rozrosła się do 10 do pięćsetnej... | A queda de um asteróide, e o mundo foi envolvido em chamas.
| task1264_ted_translation_pl_pt | NIv2 | fs_opt | 1 | test |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Let me give you an example: Media łączyły się z nami.
The answer to this example can be: Os "" media "" interligavam-se connosco.
Here is why: The Polish sentence is correctly translated into Portugese, because the meaning... | Se todas as respostas forem sim, sinto como se tivesse ganho. | task1264_ted_translation_pl_pt | NIv2 | fs_opt | 8 | validation |
Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Example input: shelf : nursury. cabinet : ?
Example output: ... | garden | task1157_bard_analogical_reasoning_rooms_for_containers | NIv2 | fs_opt | 3 | train |
Detailed Instructions: Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Problem:refrigerator : kitchen. car : ... | garage | task1157_bard_analogical_reasoning_rooms_for_containers | NIv2 | zs_opt | 8 | train |
Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Input: Consider Input: bookshelf : hallway. crib : ?
Output... | Output: kitchen
| task1157_bard_analogical_reasoning_rooms_for_containers | NIv2 | fs_opt | 2 | train |
instruction:
Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
question:
bookshelf : hallway. stove : ?
answer:... | bedroom
| task1157_bard_analogical_reasoning_rooms_for_containers | NIv2 | fs_opt | 9 | train |
Instructions: Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Input: crib : nursery. desk : ?
Output: | office | task1157_bard_analogical_reasoning_rooms_for_containers | NIv2 | zs_opt | 3 | train |
Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Example input: shelf : nursury. cabinet : ?
Example output: ... | parlor | task1157_bard_analogical_reasoning_rooms_for_containers | NIv2 | fs_opt | 3 | train |
Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Example input: shelf : nursury. cabinet : ?
Example output: ... | kitchen | task1157_bard_analogical_reasoning_rooms_for_containers | NIv2 | fs_opt | 3 | train |
Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Q: workbench : garage. shower : ?
A: bathroom
****
Q: crib ... | library
****
| task1157_bard_analogical_reasoning_rooms_for_containers | NIv2 | fs_opt | 4 | train |
Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
[Q]: workbench : workshop. microwave : ?
[A]: kitchen
[Q]:... | garage
| task1157_bard_analogical_reasoning_rooms_for_containers | NIv2 | fs_opt | 5 | test |
Teacher:Two analogies that relate objects to the associated rooms is given in the form "A : B. C : ?". "A : B" relates object A to room B. Your task is to replace the question mark (?) with the appropriate room for the given object C, following the "A : B" relation.
Teacher: Now, understand the problem? Solve this inst... | nursery | task1157_bard_analogical_reasoning_rooms_for_containers | NIv2 | zs_opt | 6 | validation |
Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Input: “ଜୟନ୍ତୀ ଅବସରରେ ମୁଁ ଡଃ ଶ୍ୟାମା ପ୍ରସାଦ ମୁଖାର୍ଜୀଙ୍କୁ ପ୍ରଣତି ଜଣାଉଛି ।
Output: | അവരുടെ ശ്രമങ്ങളാണ് ഇന്ത്യന് പാസ്പോര്ട്ട് എല്ലായിടത്തും ബഹുമാനിക്കപ്പെടുന്നതെന്ന് ഉറപ്പുവരുത്തിയതെന്ന് അദ്ദേഹം കൂട്ടിച്ചേര്ത്തു. | task980_pib_translation_oriya_malayalam | NIv2 | zs_opt | 3 | train |
Given the task definition and input, reply with output. A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
କାର୍ଯ୍ୟକ୍ରମରେ ବିପିଆର ଏଣ୍ଡ ଡିର ମହାନିର୍ଦ୍ଦେଶକ ଡକ୍ଟର ଏ ପି ମାହେଶ୍ୱରୀ ଉପସ୍ଥିତ ଥିଲେ ।
| 'അമിതത്വത്തിന്റെ ലോകത്തില് യോഗ നിയന്ത്രണവും, സമതുലനാവസ്ഥയും വാഗ്ദാനം ചെയ്യുന്നു. | task980_pib_translation_oriya_malayalam | NIv2 | zs_opt | 5 | train |
A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
ଆମେ ଆମର ଯୁବକମାନଙ୍କୁ ନିଯୁକ୍ତି ଖୋଜିବା ପାଇଁ ନୁହେଁ, ନିଯୁକ୍ତି ସୃଷ୍ଟି କରିବା ଭଳି ଗଢୁଛୁ । | അതിനാല് തൊഴില് നിയമങ്ങള് പരിഷ്കരിക്കുന്നതിനും, രാത്രിയിലും അവര്ക്ക് തൊഴിലവസരങ്ങള് പ്രദാനം ചെയ്യുന്നതിനും ഞങ്ങള് സുപ്രധാനമായ നീക്കം നടത്തി. | task980_pib_translation_oriya_malayalam | NIv2 | zs_opt | 0 | train |
Definition: A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Input: ସ୍ୱଚ୍ଛ ସର୍ବେକ୍ଷଣ-2018ରେ ସମସ୍ତ 4,041 ଟି ନଗର ଏବଂ ସହରକୁ ସାମିଲ୍ କରାଯାଇଛି, ଏହାର ଫଳାଫଳ ଆସନ୍ତା ବର୍ଷ ମାର୍ଚ୍ଚ ମାସରେ ପ୍ରକାଶ ପାଇବ । ଏଥିରେ 1 ଲକ୍... | നൂറ്റിയിരുപത്തിയഞ്ചു കോടി ജനങ്ങൾ ആഗസ്റ്റ് 9 എന്ന വിപ്ലവദിനത്തെ ഓർത്തുകൊണ്ട് വ്യക്തിയെ നിലയിലും പൗരനെന്ന നിലയിലും ഈ ദൃനിശ്ചയമെടുക്കണം - ഞാൻ രാജ്യത്തിനുവേണ്ടി, ഇതു ചെയ്യും, കുടുംബമെന്ന നിലയിൽ ഇതു ചെയ്യും, സമൂഹമെന്ന നിലയിൽ ഇതു ചെയ്യും, ഗ്രാമവും നഗരവുമെന്ന നിലയിൽ ഇതു ചെയ്യും, സർക്കാർ വകുപ്പെന്ന നിലയിൽ ഇതു ചെയ്യും, സർക്കാരെ... | task980_pib_translation_oriya_malayalam | NIv2 | zs_opt | 2 | train |
A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
[EX Q]: ବନ୍ଦେ ଭାରତ ଏକ୍ସପ୍ରେସରେ ଅନେକ ଅତ୍ୟାଧୁନିକ ବୈଶିଷ୍ଟ୍ୟ ରହିଛି ଯାହା ଭାରତୀୟ ରେଳବାଇ ପାଇଁ ପ୍ରଥମ । ସ୍ୱଦେଶୀ ଜ୍ଞାନ କୌଶଳରେ ନିର୍ମିତ ଯାତ୍ରୀ ସୁବିଧା ଯେପରିକି ଅନବୋ... | കുറഞ്ഞ വിലയ്ക്കുള്ള ജനഔഷധി സുവിധ സാനിറ്ററി നാപ്കിന് പുറത്തിറക്കി
| task980_pib_translation_oriya_malayalam | NIv2 | fs_opt | 6 | train |
Part 1. Definition
A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Part 2. Example
SEମାନଙ୍କୁ ଗୁଣାତ୍ମକ ଉତ୍ପାଦନ ପାଇଁ ସକ୍ଷମ କରାଇବା
Answer: ചോദ്യ ഉൽപ്പന്നത്തിലേക്ക്
Explanation: Correct translation for g... | നമുക്ക് അപരിചിതരായ സഹ പൗരന്മാര്ക്കായി രക്തമോ, അവയവമോ നാം ദാനം ചെയ്യുന്നതും അവിടെയാണ്. | task980_pib_translation_oriya_malayalam | NIv2 | fs_opt | 7 | train |
A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Example Input: ରପ୍ତାନୀ କ୍ଷେତ୍ରକୁ ନୂତନ ଶକ୍ତି ପ୍ରଦାନ କରିବା ନେଇ ରଣନୀତିର ସମୀକ୍ଷା କଲେ ସୁରେଶ ପ୍ରଭୁ
Example Output: ഇന്ന് 27-ാമത്തെ യോഗത്തില് റെയില്വേ, റോഡ... | പ്രാദേശികമായ പുരാവസ്തുക്കളെ കുറിച്ചുള്ള പാഠങ്ങള് സ്കൂള് സിലബസിന്റെ ഭാഗമാക്കണമെന്ന് പ്രധാനമന്ത്രി അഭിപ്രായപ്പെട്ടു.
| task980_pib_translation_oriya_malayalam | NIv2 | fs_opt | 3 | train |
Teacher: A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
SEମାନଙ୍କୁ ଗୁଣାତ୍ମକ ଉତ୍ପାଦନ ପାଇଁ ସକ୍ଷମ କରାଇବା
Solut... | കര്ഷകര്ക്കു ദുഃഖമില്ലാതെ കിടന്നുറങ്ങാവുന്ന അത്തരമൊരു ഇന്ത്യ നാം ഒന്നിച്ചു പടുത്തുയര്ത്തും. | task980_pib_translation_oriya_malayalam | NIv2 | fs_opt | 2 | train |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: SEମାନଙ୍କୁ ଗୁଣାତ୍ମକ ଉତ୍ପାଦନ ପାଇଁ ସକ୍ଷମ କରାଇବା
Solution: ചോദ്യ ഉൽപ്പന്നത്തിലേക്ക്
Explanation: Cor... | നരേന്ദ്ര മോദി മിലാദ്-ഉന്-നബിയുടെ ശുഭ വേളയില് രാജ്യത്തെ ജനങ്ങള്ക്ക് ആശംസകള് നേര്ന്നു. | task980_pib_translation_oriya_malayalam | NIv2 | fs_opt | 4 | test |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Problem:ଆପଣଙ୍କ 8500 ବ୍ରହ୍ମାକୁମାରୀ କେନ୍ଦ୍ର ଅଛି, ଲକ୍ଷ ଲକ୍ଷ କାର୍ଯ୍ୟକର୍ତ୍ତା ଅଛନ୍ତି । ଯେମିତି ଆପଣ ସୌର ଶକ୍ତି ମାଧ୍ୟମରେ ଏକ ଦିଗ ଦେଖାଇଛନ୍ତି... | അത്ഭുതകരമായ സന്തുലനം ഗാന്ധിയുടെ പ്രവര്ത്തന ശൈലിയിലുണ്ടായിരുന്നു. സത്യഗ്രഹമെന്ന വാക്കെന്താണ്, അഭിപ്രായവ്യത്യാസം എന്താണ്, ഇത്രയും വലിയ സാമ്രാജ്യത്തോടുള്ള നിസ്സഹകരണം എന്താണ് എന്നു സ്ഥാപിച്ചത്, ഒരു പുതിയ ശൈലി വിഭാവനം ചെയ്തത് വാക്കുകള് കൊണ്ടല്ല, വിജയകരമായ പ്രാവര്ത്തികമാക്കലിലൂടെയാണ്. | task980_pib_translation_oriya_malayalam | NIv2 | zs_opt | 8 | validation |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a ... | Yes | task1517_limit_classfication | NIv2 | fs_opt | 1 | train |
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sent... | No
| task1517_limit_classfication | NIv2 | fs_opt | 3 | train |
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sent... | No
| task1517_limit_classfication | NIv2 | fs_opt | 7 | train |
Given the task definition and input, reply with output. In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity other... | No | task1517_limit_classfication | NIv2 | zs_opt | 5 | train |
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sent... | No | task1517_limit_classfication | NIv2 | zs_opt | 4 | train |
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sent... | No | task1517_limit_classfication | NIv2 | zs_opt | 0 | train |
Definition: In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' catego... | No | task1517_limit_classfication | NIv2 | zs_opt | 2 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a ... | Yes | task1517_limit_classfication | NIv2 | zs_opt | 1 | train |
Detailed Instructions: In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the ... | Yes | task1517_limit_classfication | NIv2 | zs_opt | 8 | test |
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sent... | Yes | task1517_limit_classfication | NIv2 | zs_opt | 0 | validation |
Please answer the following question: Read the passage below and choose the right answer to the following question (choices are surface of water or several feet deep in water? ): Water also gets colder as you go deeper. Anna swims across the surface of a lake and later she plunges several feet below the surface to e... | several feet deep in water? | quartz_read_passage_below_choose | P3 | zs_opt | 8 | train |
(Question)
Read the passage below and choose the right answer to the following question (choices are larger or smaller ): Exhaling, or breathing out, decreases the size of the chest, which increases air pressure inside the lungs. When people breathe out their chest becomes larger or smaller?
(Answer)
smaller
(Ques... | fewer | quartz_read_passage_below_choose | P3 | fs_opt | 6 | train |
Read the passage below and choose the right answer to the following question (choices are less dense or more dense ): The more tightly packed the particles inside the material are, the more dense we say they are. Sasha is throwing bottles into the lake. Some bottles are filled with sand, and some only have a tiny bi... | Lesser | quartz_read_passage_below_choose | P3 | fs_opt | 3 | train |
*Question*
Read the passage below and choose the right answer to the following question (choices are it has decreased or it has increased ): The forest habitat of elephants has also decreased in size due to humans moving in, so the numbers of the elephants have decreased. Erin was going to see the elephants in the j... | colder | quartz_read_passage_below_choose | P3 | fs_opt | 4 | train |
Read the passage below and choose the right answer to the following question (choices are more or less ): Rougher surfaces have more friction between them than smoother surfaces. A piece of sandpaper has more or less friction than a piece of glass?
Answer: | more | quartz_read_passage_below_choose | P3 | zs_noopt | 1 | train |
Read the passage below and choose the right answer to the following question (choices are top of the mountain or bottom of the mountain ): The surface is heated by the Sun and some of that heat radiates back into the air. This makes the temperature higher near the surface than at higher altitudes. If Jim climbs to t... | less | quartz_read_passage_below_choose | P3 | fs_opt | 6 | train |
Question: Read the passage below and choose the right answer to the following question (choices are high or low ): Temperature increases with depth inside the Earth, so melting of rocks is more likely to occur at greater depths. James stares at the volcano and saw the rocks melt because of the high or low temperatur... | high | quartz_read_passage_below_choose | P3 | zs_opt | 4 | train |
Read the passage below and choose the right answer to the following question (choices are brighter than the Sun or dimmer than the Sun? ): The hotter a main sequence star is, the brighter it is. Compared to the Sun, which is an average star, would star WR 102, which is the hottest known star, be brighter than the Su... | brighter than the Sun | quartz_read_passage_below_choose | P3 | zs_noopt | 7 | train |
Read the passage below and choose the right answer to the following question (choices are more or less ): Wave frequency can be measured by counting the number of crests or compressions that pass the point in 1 second or other time period. The higher the number is, the greater is the frequency of the wave. If there ... | decreases | quartz_read_passage_below_choose | P3 | fs_opt | 8 | test |
Read the passage below and choose the right answer to the following question (choices are smaller or larger ): The more mass a moving object has or the faster its moving, the greater its momentum. Two cars are going down the road, one weighs a ton, the other weighs two tons. If both crash, the car weighing two tons ... | larger | quartz_read_passage_below_choose | P3 | zs_noopt | 1 | validation |
Given a sentence in Korean, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
특정 검색 트리에서 이진 키를 검색하면 반복적으로 또는 반복적으로 프로그래밍 할 수 있습니다. | La recherche d'un arbre de recherche spécifique en fonction d'une clé binaire peut être programmée de manière récursive ou itérative. | task784_pawsx_korean_french_translation | NIv2 | zs_opt | 0 | train |
Teacher:Given a sentence in Korean, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: 이 도시는 스네이크 리버 (Snake River)의 합류점에 오레곤과의 국경을 표시하는 위서 강 (Weiser River)과 함께 있습니다.
Student: | La ville se situe au confluent de la rivière Snake et de la rivière Great Weiser, qui marque la frontière avec l'Oregon. | task784_pawsx_korean_french_translation | NIv2 | zs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Korean, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
그녀는 올란드 유나이티드 (Women 's League of Australia)에서 뛰고 있습니다.
Output: | Elle joue pour la ligue féminine d'Åland United. | task784_pawsx_korean_french_translation | NIv2 | zs_opt | 1 | train |
Teacher: Given a sentence in Korean, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? If you are still confused, see the following example:
1975 년부터 76 년까지 NBA 시즌은 전국 농구 협회 (National Basketball As... | Il est recouvert d'une végétation naturelle de prairies composées de sols d'argile rouge moins fertiles et d'arbustes de sel sur des terres plus fertiles. | task784_pawsx_korean_french_translation | NIv2 | fs_opt | 2 | train |
Detailed Instructions: Given a sentence in Korean, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
See one example below:
Problem: 1975 년부터 76 년까지 NBA 시즌은 전국 농구 협회 (National Basketball Association)의 30 번째 시즌이었다.
Solution: La saison 1... | Ce fut le dernier championnat AFL à terminer la saison, le premier Super Bowl suivi en 1966. | task784_pawsx_korean_french_translation | NIv2 | fs_opt | 4 | train |
instruction:
Given a sentence in Korean, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
question:
Bertlmann은 Walter Thirring의 친한 친구이자 공동 작업자였으며 John Stewart Bell과 함께 작업했습니다.
answer:
Bertlmann était un ami proche et un collaborateur ... | Il a été affecté au chantier naval de Portsmouth en 1866, puis au chantier naval de Pensacola en 1868.
| task784_pawsx_korean_french_translation | NIv2 | fs_opt | 9 | train |
Detailed Instructions: Given a sentence in Korean, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Problem:Belson은 오디오 디렉터로서 라이브 키네틱 비주얼을 프로그래밍했으며 Jacobs는 전자 음악 및 시각적 인 실험을 프로그래밍했습니다.
Solution: | En tant que directeur audio, Belson a programmé les images visuelles en direct cinétiques et Jacobs a programmé de la musique électronique et des expériences visuelles. | task784_pawsx_korean_french_translation | NIv2 | zs_opt | 8 | train |
Part 1. Definition
Given a sentence in Korean, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Part 2. Example
1975 년부터 76 년까지 NBA 시즌은 전국 농구 협회 (National Basketball Association)의 30 번째 시즌이었다.
Answer: La saison 1975-1976 de la Nationa... | Charley Frazier (né le 12 août 1939 à Houston, au Texas) est un ancien receveur de football américain de la Ligue américaine de football et de la NFL. | task784_pawsx_korean_french_translation | NIv2 | fs_opt | 7 | train |
Teacher: Given a sentence in Korean, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? If you are still confused, see the following example:
1975 년부터 76 년까지 NBA 시즌은 전국 농구 협회 (National Basketball As... | Voici une liste des différents responsables des organisations gouvernementales locales qui ont servi Londres, en Angleterre. | task784_pawsx_korean_french_translation | NIv2 | fs_opt | 2 | test |
Given a sentence in Korean, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
컨테이너 유리는 평면 유리로 산화 마그네슘과 산화 나트륨의 함량이 높고 실리카, 산화 칼슘 및 산화 알루미늄의 함량이 적습니다.
Le verre du conteneur a une teneur plus élevée en oxyde de magnésium et en oxyde de ... | À compter du 1er juillet 2000, le village de Mineral Hills et la ville de Stambaugh ont été regroupés avec la ville d’Iron River.
| task784_pawsx_korean_french_translation | NIv2 | fs_opt | 0 | validation |
Detailed Instructions: 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'.
Problem:Dialogue 1: 'your whats up number please give me you can contact 1234... | no | task518_emo_different_dialogue_emotions | NIv2 | zs_opt | 8 | train |
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'.
One example: Dialogue 1: 'when did i called u ugly pony when did you ever call fuck u ur rlly a mad ... | yes | task518_emo_different_dialogue_emotions | NIv2 | fs_opt | 6 | train |
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'.
Q: Dialogue 1: 'hey why are you asking like that why are you asking me why i'm asking you no snooze... | yes
****
| task518_emo_different_dialogue_emotions | NIv2 | fs_opt | 4 | train |
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'.
Q: Dialogue 1: 'ok but some idea hmmmwill try to find out from google ok i write love story'. Dialo... | yes | task518_emo_different_dialogue_emotions | NIv2 | zs_opt | 4 | train |
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'.
[EX Q]: Dialogue 1: 'what you thinking about dating why bother kind of bothering do i need to date ... | yes
| task518_emo_different_dialogue_emotions | NIv2 | fs_opt | 6 | train |
Given the task definition and input, reply with output. 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'.
Dialogue 1: 'what do you do at pan shop i c... | yes | task518_emo_different_dialogue_emotions | NIv2 | zs_opt | 5 | train |
Instructions: 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: Dialogue 1: 'cool haha thanks for understanding p are you alone'. Dialogue 2: '... | yes | task518_emo_different_dialogue_emotions | NIv2 | zs_opt | 3 | train |
Detailed Instructions: 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'.
See one example below:
Problem: Dialogue 1: 'when did i called u ugly pony wh... | yes | task518_emo_different_dialogue_emotions | NIv2 | fs_opt | 4 | train |
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'.
Example: Dialogue 1: 'when did i called u ugly pony when did you ever call fuck u ur rlly a mad pers... | Solution: yes | task518_emo_different_dialogue_emotions | NIv2 | fs_opt | 5 | test |
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'.
Dialogue 1: 'with guys depends on if you have the face for it you are stupid'. Dialogue 2: 'go on g... | no
| task518_emo_different_dialogue_emotions | NIv2 | fs_opt | 0 | validation |
Teacher:In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: The Museum has three core resources for carrying out its work : the specimens , the libraries a... | ओर्य सम्पन्न करने के लिए संग्रहालय के पास तीन प्रमुख संसाधन हैं : नमूने , पुस्तकालय तथा विशेषज्ञ शोधकर्त्ता । | task425_hindienglish_corpora_en_hi_translation | NIv2 | zs_opt | 6 | train |
Given the task definition and input, reply with output. In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
In many cases the structure of Government meant that the joined-up problems of social exclusion did not r... | कई मामलों में सरकार की संरचना का अर्थ था कि सोश्यल ऐक्सक्लूज़न से संबंधित समस्याओं को एक दूसरे से जुडा हुआ हल नही मिला |भाष्; विशेषकर ः |भाष्; | task425_hindienglish_corpora_en_hi_translation | NIv2 | zs_opt | 5 | train |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
They secrete copious honeydew , to which ants are attracted : the ants guard and protect the cowbugs and milk them regularly for the sweet secretion . | वे प्रचुर मात्रा में मधुबिंदु स्रावित करते हैं जिससे चींटियां आकर्षित होती हैं.चींटियां गोमत्कुण की निगरानी और सुरक्षा करती हैं तथा मीठे स्राव के लिए उनका नियमपूर्वक दोहन करती हैं । | task425_hindienglish_corpora_en_hi_translation | NIv2 | zs_opt | 0 | train |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
See one example below:
Problem: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining... | राजराजा द्वारा अपने महान मंदिर में निर्धारित की गई यह स्थिति बाद के काल के सभी शिवमंदिरों के लिए आदर्श बन गई । | task425_hindienglish_corpora_en_hi_translation | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Q: To create electricity through solar rays, to put light to solar cells built by semi conductor.
A: | सौर फोटो वोल्टायिक तरीके से ऊर्जा प्राप्त करने के लिए सूर्य की रोशनी को सेमीकन्डक्टर की बनी सोलार सेल पर डाल कर बिजली पैदा की जाती है। | task425_hindienglish_corpora_en_hi_translation | NIv2 | zs_opt | 9 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Indian Philosophy has six main parts-Shankhya,Yog,Nyay,Vaisheshik,Mimansha and Vedan... | भारतीय दर्शन के ६ प्रमुख अंग हैं- साँख्य योग न्याय वैशेषिक मीमांसा और वेदान्त। | task425_hindienglish_corpora_en_hi_translation | NIv2 | zs_opt | 1 | train |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Input: As for the new AICC team , she is likely to take the safe route and avoid any drastic overhaul .
Output: | जहां तक एआइसीसी की नई टीम का सवाल है , सोनिया सुरक्षित रास्ता अपनाकर भारी फेरबदल से बचना चाहेंगी । | task425_hindienglish_corpora_en_hi_translation | NIv2 | zs_opt | 2 | train |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Q: Patna : Chief Minister Rabri Devi 's brothers , Subhash and Sadhu Yadav , are at loggerheads yet again .
A: बहना के भैया लगों का खेल पटनाः मुयमंत्री राबड़ी द... | अतएव यह कोई आश्चर्यजनक बात नहीं थी कि उद्योग का लागत मूल्य बहुत अधिक , गुणवत्ता घटिया और उत्पादनशीलता बहुत कम थी ।
****
| task425_hindienglish_corpora_en_hi_translation | NIv2 | fs_opt | 4 | train |
Given the task definition and input, reply with output. In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Not only her literature but her social service work and the care about the women also noticeable
| न केवल उनका काव्य बल्कि उनके सामाजसुधार के कार्य और महिलाओं के प्रति चेतना भावना भी इस दृष्टि से प्रभावित रहे। | task425_hindienglish_corpora_en_hi_translation | NIv2 | zs_opt | 5 | test |
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 are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
The first two were found unreliable and ... | उनके ही शब्दों में यह सुनिये कि इन दोनों में से किसे वे किस रूप में देखते रहे - ऋव्यि>गत रूप से , मैं अपने जीवन में रवीन्द्रनाथ के सिवा ऐसे किसी व्यि> से नहीं मिला जो मित्रता , बऋद्धिक समझ और आध्यात्मिक सहानुभूति की आवश्यकता से संतुष्ट करता हो । | task425_hindienglish_corpora_en_hi_translation | NIv2 | fs_opt | 0 | validation |
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