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In this task, you are given music product reviews in English 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 Input: This Is A Great CD. . Alan Is One The Best Country Singers Today. When I F... | POS
| task478_cls_english_music_classification | NIv2 | fs_opt | 3 | train |
Instructions: In this task, you are given music product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Nostalgic, wimpy pop . I grew enamored with Eric Carmen's music, draw... | NEG | task478_cls_english_music_classification | NIv2 | zs_opt | 3 | train |
Teacher:In this task, you are given music product reviews in English 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.
Teacher: Now, understand the problem? Solve this instance: I Can't Take It! . I go... | NEG | task478_cls_english_music_classification | NIv2 | zs_opt | 6 | train |
In this task, you are given music product reviews in English 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: The Bee Gees-Their Greatest Hits . Fabulous-This is a must have for any Bee Gee f... | Solution: NEG | task478_cls_english_music_classification | NIv2 | fs_opt | 5 | train |
In this task, you are given music product reviews in English 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.
Q: SUNCOMM . THIS BAND HAS IS ASSOCIATED WITH SUNNCOMM. Sunncomm protects the content on ... | NEG | task478_cls_english_music_classification | NIv2 | zs_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 music product reviews in English 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.
Golden Ears ... | NEG | task478_cls_english_music_classification | NIv2 | zs_opt | 1 | train |
In this task, you are given music product reviews in English 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 Input: Lil Jon and the rehab clinic . I think this album is boring. I think it do... | POS
| task478_cls_english_music_classification | NIv2 | fs_opt | 3 | train |
Instructions: In this task, you are given music product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: One of the best albums of the year.. . This new album by former Mr.Bi... | POS | task478_cls_english_music_classification | NIv2 | zs_opt | 3 | train |
In this task, you are given music product reviews in English 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.
[EX Q]: Hit&Miss Set . first of All KRS-One is One of the Greatest Rappers&Story-Tellers ... | NEG
| task478_cls_english_music_classification | NIv2 | fs_opt | 6 | test |
Instructions: In this task, you are given music product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: BEWARE >>>> total trash !!!!!!!! . Don't believe any positive review... | NEG | task478_cls_english_music_classification | NIv2 | zs_opt | 3 | validation |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: અને જ્યાં આગળ આવું પોતાપણું હોય, લોકશાહીના મૂલ્યો હોય, પારદર્શક શાસન હોય, ચોકસાઈ હોય અને કટિબદ્ધ ન... | ଭାରତର ପାର୍ସି ସମ୍ପ୍ରଦାୟଙ୍କର ଦେଶର ପ୍ରଗତି, ମଙ୍ଗଳ ଓ ସୁଖ ଶାନ୍ତି ଦିଗରେ ଅତୁଳନୀୟ ଅବଦାନ ରହିଛି ଏବଂ ତାଙ୍କର ବିଶିଷ୍ଟ ସଂସ୍କୃତି ଏହାକୁ ସମୃଦ୍ଧ କରିପାରିଛି । | task1077_pib_translation_gujarati_oriya | NIv2 | fs_opt | 4 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Input: Consider Input: હિંદી ભાષાના ઉપયોગને પ્રોત્સાહન માટે હુડકોને આ એવોર્ડ સીપીએસઈ શ્રેણીમાં એનાયત કરવામાં આવ્યો હતો.
Output: 2007 ମସିହାରୁ ଡିବିଟି ଏବଂ... | Output: ରାଧା କହିଥିଲେ ଯେ କମ ଖର୍ଚ୍ଚରେ ପ୍ରତି ଘରକୁ ପାନୀୟ ଜଳଯୋଗାଣର ପ୍ରସାର ବୃଦ୍ଧି କରିବାର ଆବଶ୍ୟକତା ରହିଛି ।
| task1077_pib_translation_gujarati_oriya | NIv2 | fs_opt | 2 | train |
Definition: A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Input: સંરક્ષણ અને રાષ્ટ્રીય સુરક્ષા બાબતે તેમણે ભારપૂર્વક જણાવ્યું હતું કે, આપણે ઇન્ડિયન ફર્સ્ટ અને ઇન્ડિયન ઓન્લીના સૂત્રમાં માનીએ છીએ.
Outp... | ୟୁନିକ ଆଇଡେଣ୍ଟିଫିକେସନ ଅଥରିଟୀ ଅଫ ଇଣ୍ଡିଆ ଫଣ୍ଡର ସ୍ଥାପନା ପାଇଁ ବ୍ୟବସ୍ଥା କରିଥାଏ । | task1077_pib_translation_gujarati_oriya | NIv2 | zs_opt | 2 | train |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: અને જ્યાં આગળ આવું પોતાપણું હોય, લોકશાહીના મૂલ્યો હોય, પારદર્શક શાસન હોય, ચોકસાઈ હોય અને કટિબદ્ધ ન... | ଯାତ୍ରୀ ଟିକେଟ ସୁବିଧା କେନ୍ଦ୍ର ଲାଇସେନ୍ସ, ଜନସାଧାରଣ ଟିକେଟ ବୁକିଂ ସେବକ, ଷ୍ଟେସନ ଟିକେଟ ବୁକିଂ ଏଜେଣ୍ଟ ଏବଂ ଇ-ଟିକେଟିଂ ଏଜେଣ୍ଟ ପାଇଁ ସ୍ୱୀକୃତିପ୍ରାପ୍ତ ଏଜେଣ୍ଟ କମ୍ପ୍ୟୁଟର ରିଜର୍ଭେସନ ବ୍ୟବସ୍ଥାରେ ସୁଧାର: ଟ୍ରେନ୍ ଷ୍ଟେସନ ଛାଡ଼ିବାର 4 ଘଣ୍ଟା ପୂର୍ବରୁ ଆସନ ସଂରକ୍ଷଣ ତାଲିକା ପ୍ରକାଶ, ଅନଲାଇନରେ ବୁକିଂ ସୁବିଧା, ଦ୍ୱିତୀୟ ସଂରକ୍ଷଣ ତାଲିକା ପ୍ରକାଶରେ ମଧ୍ୟ କମ୍ପ୍ୟୁଟରୀକୃତ ବ୍... | task1077_pib_translation_gujarati_oriya | NIv2 | fs_opt | 4 | train |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: અને જ્યાં આગળ આવું પોતાપણું હોય, લોકશાહીના મૂલ્યો હોય, પારદર્શક શાસન હોય, ચોકસાઈ હોય અને કટિબદ્ધ ન... | ଶ୍ରୀ ତୋମାର କହିଥିଲେ, ସର୍ବଦଳୀୟ ବୈଠକରେ ସମସ୍ତ ରାଜନୈତିକ ଦଳ ଏକ ସ୍ୱରରେ ଆତଙ୍କବାଦୀ ଆକ୍ରମଣକୁ ନିନ୍ଦା କରିବା ସହ ସହିଦ ଯବାନଙ୍କୁ ଶ୍ରଦ୍ଧାଞ୍ଜଳି ଜଣାଇବାକୁ ଦୁଇ ମିନିଟ ନିରବ ପ୍ରାର୍ଥନା କରିଥିଲେ । ବୈଠକରେ ଆତଙ୍କବାଦ ଆକ୍ରମଣକୁ ନିନ୍ଦା କରି ଏକ ପ୍ରସ୍ତାବ ମଧ୍ୟ ଗୃହୀତ ହୋଇଥିବା ମନ୍ତ୍ରୀ କହିଥିଲେ । | task1077_pib_translation_gujarati_oriya | NIv2 | fs_opt | 4 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Let me give you an example: અને જ્યાં આગળ આવું પોતાપણું હોય, લોકશાહીના મૂલ્યો હોય, પારદર્શક શાસન હોય, ચોકસાઈ હોય અને કટિબદ્ધ નેતૃત્વ હોય તે દેશમાં કામ ક... | “ଆପଣମାନଙ୍କୁ ଏବଂ ସମଗ୍ର ଶିକ୍ଷକ ସମୁଦାୟକୁ ଶିକ୍ଷକ ଦିବସର ଶୁଭକାମନା ! | task1077_pib_translation_gujarati_oriya | NIv2 | fs_opt | 8 | train |
instruction:
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
question:
વિનેશની ઉત્તરોત્તર સફળતા ભવિષ્યના રમતવીરોને પ્રેરિત કરશે.
answer:
ଇଦ-ଉଲ-ଜୁହା ଅବସରରେ ଦେଶବାସୀଙ୍କୁ ପ୍ରଧାନମନ୍ତ୍ରୀଙ୍କ ଅଭିନନ୍ଦନ
questi... | ମଧ୍ୟମ ଇସ୍ପାତ କ୍ଷେତ୍ର ପାଇଁ ପୁରସ୍କାର ଯୋଜନାର ଶୁଭାରମ୍ଭ
| task1077_pib_translation_gujarati_oriya | NIv2 | fs_opt | 9 | train |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Problem:પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદીની અધ્યક્ષતામાં કેન્દ્રીય મંત્રીમંડળને એપ્લાઇડ સાયન્સ અને ઔદ્યોગિક ટેકનોલોજીમાં સહકાર સ્થાપ... | ପ୍ରୟୋଗାତ୍ମକ ବିଜ୍ଞାନ ଓ ଶିଳ୍ପ ପ୍ରଯୁକ୍ତି କ୍ଷେତ୍ରରେ ସହଯୋଗ ବୃଦ୍ଧି ଲାଗି ଭାରତ - ଦକ୍ଷିଣ କୋରିଆ ମଧ୍ୟରେ ବୁଝାମଣା ସମ୍ପର୍କରେ ଅବଗତ ହେଲେ କ୍ୟାବିନେଟ | task1077_pib_translation_gujarati_oriya | NIv2 | zs_opt | 8 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Example: અને જ્યાં આગળ આવું પોતાપણું હોય, લોકશાહીના મૂલ્યો હોય, પારદર્શક શાસન હોય, ચોકસાઈ હોય અને કટિબદ્ધ નેતૃત્વ હોય તે દેશમાં કામ કરવું કેટલું સહેલું હ... | Solution: ଏ ସନ୍ଦର୍ଭରେ ବର୍ତ୍ତମାନ ସୁଦ୍ଧା ଉପଲବ୍ଧ ବିସ୍ତୃତ ପ୍ରସ୍ତୁତ ତଥ୍ୟର ସୂଚୀ ସଂଲଗ୍ନ କରାଯାଉଛି । | task1077_pib_translation_gujarati_oriya | NIv2 | fs_opt | 5 | test |
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Example: અને જ્યાં આગળ આવું પોતાપણું હોય, લોકશાહીના મૂલ્યો હોય, પારદર્શક શાસન હોય, ચોકસાઈ હોય અને કટિબદ્ધ નેતૃત્વ હોય તે દેશમાં કામ કરવું કેટલું સહેલું હ... | Solution: ଖେଳାଳିଙ୍କ ନାମ ଖେଳ | task1077_pib_translation_gujarati_oriya | NIv2 | fs_opt | 5 | validation |
Detailed Instructions: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection o... | eq { count { filter_eq { all_rows ; writer ( s ) ; ira ungerleider } } ; 2 } | task210_logic2text_structured_text_generation | NIv2 | zs_opt | 8 | train |
Definition: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statement... | eq { count { filter_eq { all_rows ; loser ; iceland } } ; 1 } | task210_logic2text_structured_text_generation | NIv2 | zs_opt | 2 | train |
Instructions: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of stateme... | eq { hop { argmax { all_rows ; agg } ; team 1 } ; canon yaoundé } | task210_logic2text_structured_text_generation | NIv2 | zs_opt | 3 | train |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that defin... | eq { hop { argmax { all_rows ; vote percentage } ; player } ; hamit altıntop } | task210_logic2text_structured_text_generation | NIv2 | fs_opt | 9 | train |
Detailed Instructions: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection o... | most_greater { filter_eq { all_rows ; result ; win } ; wildcats points ; 20 } | task210_logic2text_structured_text_generation | NIv2 | zs_opt | 8 | train |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that defin... | all_eq { all_rows ; score ; 1 } | task210_logic2text_structured_text_generation | NIv2 | zs_opt | 0 | train |
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 natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of lo... | eq { hop { argmax { all_rows ; purse } ; tournament } ; peter jackson champions } | task210_logic2text_structured_text_generation | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Def... | and { only { filter_eq { all_rows ; result ; injured } } ; eq { hop { filter_eq { all_rows ; result ; injured } ; week } ; 5 } } | task210_logic2text_structured_text_generation | NIv2 | zs_opt | 5 | train |
Instructions: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of stateme... | and { only { filter_eq { all_rows ; opponent in the final ; mark selby } } ; eq { hop { filter_eq { all_rows ; opponent in the final ; mark selby } ; championship } ; uk championship } } | task210_logic2text_structured_text_generation | NIv2 | zs_opt | 3 | test |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that defin... | round_eq { sum { all_rows ; score } ; 4577 } | task210_logic2text_structured_text_generation | NIv2 | fs_opt | 6 | validation |
Given the task definition and input, reply with output. Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the ans... | So if I only simmered for one hour that's not long enough? | task1437_doqa_cooking_question_generation | NIv2 | zs_opt | 5 | train |
Instructions: Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
Input: CONTEXT: To get gr... | Are there any other used for the shells? | task1437_doqa_cooking_question_generation | NIv2 | zs_opt | 3 | train |
Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
--------
Question: CONTEXT: I don't thi... | Should I fry it in olive oil?
| task1437_doqa_cooking_question_generation | NIv2 | fs_opt | 7 | train |
Given the task definition and input, reply with output. Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the ans... | What is a damaging situation for my microwave ? | task1437_doqa_cooking_question_generation | NIv2 | zs_opt | 5 | train |
Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
Q: CONTEXT: You need to ferment in a c... | what does convection mean?
****
| task1437_doqa_cooking_question_generation | NIv2 | fs_opt | 4 | train |
You will be given a definition of a task first, then some input of the task.
Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:... | I could pick a carrot up from the dirt whenever, and eat it, but I would never do that to a strawberry. | task1437_doqa_cooking_question_generation | NIv2 | zs_opt | 1 | train |
Detailed Instructions: Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
Problem:CONTEXT:... | Are there any meats I should stay away from? | task1437_doqa_cooking_question_generation | NIv2 | zs_opt | 8 | train |
Detailed Instructions: Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
Q: CONTEXT: The ... | What would be done first? the veggies or the beef. | task1437_doqa_cooking_question_generation | NIv2 | zs_opt | 9 | train |
Part 1. Definition
Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
Part 2. Example
CONT... | Should I fry it in olive oil? | task1437_doqa_cooking_question_generation | NIv2 | fs_opt | 7 | test |
Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
CONTEXT: Most of the things in this ar... | Is there a non-alcoholic flavoring component that would match Bailey's? | task1437_doqa_cooking_question_generation | NIv2 | zs_opt | 0 | validation |
This task is about translating a given French language sentence to English.
One example is below.
Q: Vous avez fait quelque chose de tellement bien aujourd'hui ! Pourquoi vous m'évitez ?
A: You did such a great thing today, why are you avoiding me?
Rationale: This is a good example because the French sentence has been ... | Zero plus two is two. One plus seven is eight. So thirty-six times twenty-three is eight hundred twenty-eight. | task1690_qed_amara_translation | NIv2 | fs_opt | 9 | train |
instruction:
This task is about translating a given French language sentence to English.
question:
Tut Mercutio, Dun de la souris, propre mot du constable:
answer:
MERCUTlO Tut, dun's the mouse, the constable's own word:
question:
Il est juste créé, à partir de rien, par la banque, en quelques touches sur un clavier ... | Is it going to land where it's supposed to?
| task1690_qed_amara_translation | NIv2 | fs_opt | 9 | train |
Definition: This task is about translating a given French language sentence to English.
Input: Vous ne voyez pas de quoi je parle ?
Output: | Oh? You don't know what I'm talking about? | task1690_qed_amara_translation | NIv2 | zs_opt | 2 | train |
This task is about translating a given French language sentence to English.
Let me give you an example: Vous avez fait quelque chose de tellement bien aujourd'hui ! Pourquoi vous m'évitez ?
The answer to this example can be: You did such a great thing today, why are you avoiding me?
Here is why: This is a good example... | Oh my God, get us out of here. | task1690_qed_amara_translation | NIv2 | fs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
This task is about translating a given French language sentence to English.
Puis on a les "Mesures Normales" et les "Mesures Muettes".
Output: | I'll explain that in a second. then we've got "bars solid" and "bars muted". | task1690_qed_amara_translation | NIv2 | zs_opt | 1 | train |
This task is about translating a given French language sentence to English.
--------
Question: Et c'est pourquoi je dis que quelque chose est caché derrière l'intellect; l'intellect n'est pas assez, ça n'a jamais été assez.
Answer: And so this is why I say, Something is hidden behind the intellect. Intellect is not en... | I've not seen corresponding figures for elite scholars in other fields, such as history or philosophy, but I'd be surprised if they were different.
| task1690_qed_amara_translation | NIv2 | fs_opt | 7 | train |
Teacher:This task is about translating a given French language sentence to English.
Teacher: Now, understand the problem? Solve this instance: Et je l'ai regardée sous le microscope.
Student: | And I looked at it beneath the microscope. | task1690_qed_amara_translation | NIv2 | zs_opt | 6 | train |
instruction:
This task is about translating a given French language sentence to English.
question:
L'art est un mensonge qui crée de réelles émotions, un mensonge qui crée une vérité.
answer:
Art is a deception that creates real emotions, a lie that creates a truth.
question:
Ensuite il y a les interviews aux célébri... | Come here!
| task1690_qed_amara_translation | NIv2 | fs_opt | 9 | train |
Definition: This task is about translating a given French language sentence to English.
Input: Vous pouvez y aller.
Output: | Here you go. | task1690_qed_amara_translation | NIv2 | zs_opt | 2 | test |
Given the task definition and input, reply with output. This task is about translating a given French language sentence to English.
Ils disent que les mauvaises chose n'arrivent pas sans raison
| They say bad things happen for a reason | task1690_qed_amara_translation | NIv2 | zs_opt | 5 | validation |
Generate a question that has the following answer: A governess for the following movie plot: A grotesque brougham stops in a dark forest and its cowled driver, Lalbai the sorceress, beckons to the bewitched passenger, a newly wed bride. Lalbai leads the bride to the shaitani ilaaka (devil's domain) where she is rous... | Lalbai infiltrated Thakur's household as what? | duorc_SelfRC_generate_question_by_answer | P3 | zs_noopt | 7 | train |
Please answer the following question: Generate a question that has the following answer: Pedro Gonzalez-Gonzalez for the following movie plot: In The Sheepman, Glenn Ford arrives at a small, western town controlled by Leslie Neilson. There is a backstory between them, including events that led to the shooting death ... | Who is Ford's sidekick? | duorc_SelfRC_generate_question_by_answer | P3 | zs_noopt | 8 | train |
Q: Generate a question that has the following answer: cancer for the following movie plot: The narrator recounts three instances of incredible coincidences and suggests that forces greater than chance play important roles in life. Police officer Jim Kurring investigates a disturbance at a woman's apartment, finding ... | How does Nick want to fix everything? | duorc_SelfRC_generate_question_by_answer | P3 | fs_opt | 2 | train |
Answer the following question: Generate a question that has the following answer: Strong pheromone. for the following movie plot: Walking home on Bonfire Night through a housing estate in South London, Samantha Adams (Jodie Whittaker), a 25-year-old trainee nurse, is mugged by a small gang of teenage hoodlums: Pest ... | After landing in an area with enough food, the female lets off what? | duorc_SelfRC_generate_question_by_answer | P3 | zs_opt | 5 | train |
Generate a question that has the following answer: Portos for the following movie plot: Ray Breslin is a former prosecutor who co-owns Breslin-Clark, a Los Angelesâbased security firm specializing in testing the reliability of maximum security prisons. He spends his life getting into prisons to study their designs... | Ans: Who thinks Maggie is Larry's wife? | duorc_SelfRC_generate_question_by_answer | P3 | fs_opt | 0 | train |
Please answer the following question: Generate a question that has the following answer: Norma for the following movie plot: Gloria Wandrous (Elizabeth Taylor) wakes up in the apartment of wealthy executive Weston Liggett (Laurence Harvey) and finds that he has left her $250. Insulted, Gloria, whose dress is torn, t... | What is the name of Steve's girlfriend? | duorc_SelfRC_generate_question_by_answer | P3 | zs_noopt | 8 | train |
input: Please answer the following: Generate a question that has the following answer: New Orleans for the following movie plot: Joan Collins and Gregory Peck in a scene from the film. Jim Douglas (Gregory Peck) is a rancher pursuing four outlaws after the murder of his wife six months before. He rides into Rio Arri... | Who has set timed explosives throughout the poppy fields? | duorc_SelfRC_generate_question_by_answer | P3 | fs_opt | 8 | train |
input question: Generate a question that has the following answer: World War II for the following movie plot: Squadron Leader Peter D. Carter is a British bomber pilot on his war back from a bombing mission over Nazi Germany towards the end of WWII. His bomber is badly damaged and won't make it back home, all his cr... | Who is Tracy Girl friend? | duorc_SelfRC_generate_question_by_answer | P3 | fs_opt | 7 | train |
Please answer the following question: Generate a question that has the following answer: Police officer for the following movie plot: In a Mexican town along the U.S.âMexico border, a time bomb is planted in a car. Rudy Linnekar (Jeffrey Green) and woman Zita enter the vehicle and make a slow journey through town ... | What is Pete Gould's profession? | duorc_SelfRC_generate_question_by_answer | P3 | zs_noopt | 9 | test |
Generate a question that has the following answer: Sheds body parts for the following movie plot: Genetic engineers Clive Nicoli and Elsa Kast hope to achieve fame by splicing animal DNA to create hybrids for medical use at the company N.E.R.D. (short for Nucleic Exchange Research and Development). Their work previo... | What does the hybrid do in an effort to escape? | duorc_SelfRC_generate_question_by_answer | P3 | zs_noopt | 7 | validation |
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the t... | Ozone loss is rapid. | task037_qasc_generate_related_fact | NIv2 | zs_opt | 4 | train |
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the t... | Photosynthesis gives a plant energy. | task037_qasc_generate_related_fact | NIv2 | fs_opt | 3 | train |
Instructions: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to... | Air pollution also harms plants and animals. | task037_qasc_generate_related_fact | NIv2 | zs_opt | 3 | train |
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the t... | Pollen grains contain the male gametes in sexually reproducing plants.
| task037_qasc_generate_related_fact | NIv2 | fs_opt | 7 | train |
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the t... | During winter, the earth in the Northern Hemisphere is tilted away from the sun. | task037_qasc_generate_related_fact | NIv2 | zs_opt | 4 | train |
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the t... | Carbohydrates contain approximately 4 calories per gram. | task037_qasc_generate_related_fact | NIv2 | fs_opt | 3 | train |
Teacher:Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produ... | Splashes cause inflammation and blurred vision. | task037_qasc_generate_related_fact | NIv2 | zs_opt | 6 | train |
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the t... | Silt forms form the weathering of rocks. | task037_qasc_generate_related_fact | NIv2 | fs_opt | 9 | train |
Instructions: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to... | Pituitary gland is called the master gland of the body. | task037_qasc_generate_related_fact | NIv2 | zs_opt | 3 | test |
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the t... | Seed germinates in the spring, the plant grows, flowers, produces seed and then dies.
****
| task037_qasc_generate_related_fact | NIv2 | fs_opt | 4 | validation |
You will be given a definition of a task first, then some input of the task.
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid... | c | task1678_mathqa_answer_selection | NIv2 | zs_opt | 1 | train |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Ex Input:
Problem: raman mixed 48 kg of butter at rs. 150 per kg with 36 k... | c
| task1678_mathqa_answer_selection | NIv2 | fs_opt | 1 | train |
Detailed Instructions: Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Problem:Problem: a train 360 m long runs with a spee... | d | task1678_mathqa_answer_selection | NIv2 | zs_opt | 8 | train |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Example Input: Problem: if the sides of a cube are in the ratio 5: 3. what... | a
| task1678_mathqa_answer_selection | NIv2 | fs_opt | 3 | train |
Instructions: Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Input: Problem: if 64 ( 8 ^ x ) = 1 then x =
Options: a. 2, b... | e | task1678_mathqa_answer_selection | NIv2 | zs_opt | 3 | train |
Q: Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Problem: a library has an average of 540 visitors on sundays and 240 on ... | c | task1678_mathqa_answer_selection | NIv2 | zs_opt | 7 | train |
Teacher:Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Teacher: Now, understand the problem? Solve this instance: Problem:... | d | task1678_mathqa_answer_selection | NIv2 | zs_opt | 6 | train |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
--------
Question: Problem: find the simple interest on rs. 72,000 at 16 2 ... | e
| task1678_mathqa_answer_selection | NIv2 | fs_opt | 7 | train |
Teacher:Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Teacher: Now, understand the problem? Solve this instance: Problem:... | b | task1678_mathqa_answer_selection | NIv2 | zs_opt | 6 | test |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
One example: Problem: a multiple choice test consists of 4 questions, and e... | e | task1678_mathqa_answer_selection | NIv2 | fs_opt | 6 | validation |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Q: A Christian family in the ancient city o... | (F)
****
| task302_record_classification | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
See one example below... | (H) | task302_record_classification | NIv2 | fs_opt | 4 | train |
Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Input: Washington (CNN) We're ... | (C) | task302_record_classification | NIv2 | zs_opt | 3 | train |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
--------
Question: Washington (CNN) Presiden... | (J)
| task302_record_classification | NIv2 | fs_opt | 7 | train |
Definition: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Input: Pictured on his last day ... | (G) | task302_record_classification | NIv2 | zs_opt | 2 | train |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Problem:Da Nang, Viet... | (D) | task302_record_classification | NIv2 | zs_opt | 8 | train |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Problem:(CNN) On Febr... | (K) | task302_record_classification | NIv2 | zs_opt | 8 | train |
Definition: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Input: Field trials involving ge... | (E) | task302_record_classification | NIv2 | zs_opt | 2 | train |
Teacher:In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Teacher: Now, understand the problem... | (D) | task302_record_classification | NIv2 | zs_opt | 6 | test |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Q: A smartphone gadget could help thousands ... | (A) | task302_record_classification | NIv2 | zs_opt | 4 | validation |
In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
For Chri... | HISTORICAL | task282_scruples_event_time | NIv2 | zs_opt | 0 | train |
Detailed Instructions: In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something i... | HISTORICAL | task282_scruples_event_time | NIv2 | zs_opt | 8 | train |
In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
Let me g... | HISTORICAL | task282_scruples_event_time | NIv2 | fs_opt | 8 | train |
In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
--------
... | HISTORICAL
| task282_scruples_event_time | 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 an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHET... | HYPOTHETICAL | task282_scruples_event_time | NIv2 | zs_opt | 1 | train |
In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
Let me s... | HISTORICAL
| task282_scruples_event_time | NIv2 | fs_opt | 0 | train |
Instructions: In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the fut... | HYPOTHETICAL | task282_scruples_event_time | NIv2 | zs_opt | 3 | train |
Teacher:In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
T... | HISTORICAL | task282_scruples_event_time | NIv2 | zs_opt | 6 | train |
Detailed Instructions: In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something i... | HISTORICAL | task282_scruples_event_time | NIv2 | zs_opt | 8 | test |
In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
For cont... | HISTORICAL
| task282_scruples_event_time | NIv2 | fs_opt | 0 | validation |
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