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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".
Input: Consider Input: Gujarati: માછલી ટેન્કની સામે કોષ્ટક પર બાઉલ પર મૂકતી બિલાડી.
En... | Output: Yes
| task440_eng_guj_parallel_corpus_gu_en_classification | NIv2 | fs_opt | 2 | train |
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: સાઇડવૉક પર સાયકલ વસાડતા હીપસ્ટર કપડામાં એક માણસ
Englis... | Yes
| task440_eng_guj_parallel_corpus_gu_en_classification | NIv2 | fs_opt | 9 | train |
Detailed Instructions: 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".
See one example below:
Problem: Gujarati: ઘેટાંની ટોળાં એક ગોચરમાં... | Yes | task440_eng_guj_parallel_corpus_gu_en_classification | NIv2 | fs_opt | 4 | train |
Definition: 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".
Input: Gujarati: એક ટાઇલડ બાથરૂમ માં ફ્લોર પર સાધનો સફાઈ.
English: A group ... | No | task440_eng_guj_parallel_corpus_gu_en_classification | NIv2 | zs_opt | 2 | train |
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".
Gujarati: એક માણસ અને સ્ત્રી મોટર ચક્ર પછી સ્થાયી.
English: A man and a woman standing... | Yes | task440_eng_guj_parallel_corpus_gu_en_classification | NIv2 | zs_opt | 0 | train |
Definition: 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".
Input: Gujarati: એક વ્યક્તિ જેની સાથે સ્કાર્ફ રસોઈમાં છે
English: A person ... | Yes | task440_eng_guj_parallel_corpus_gu_en_classification | NIv2 | zs_opt | 2 | train |
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".
Gujarati: બિલ્ડિંગની સામે અન્ય મોટરસાઇકલ્સ સાથે એક લાલ મોટરસાઇકલ પાર્ક.
English: The t... | Yes
| task440_eng_guj_parallel_corpus_gu_en_classification | NIv2 | fs_opt | 0 | train |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: Gujarati: નાના બાથરૂમમ... | No | task440_eng_guj_parallel_corpus_gu_en_classification | NIv2 | zs_opt | 6 | train |
Definition: 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".
Input: Gujarati: એક મકાનમાં શેલ્ફ પર પોટરી પ્રદર્શિત થાય છે.
English: Potte... | Yes | task440_eng_guj_parallel_corpus_gu_en_classification | NIv2 | zs_opt | 2 | test |
Detailed Instructions: 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".
Problem:Gujarati: એક વાડ દ્વારા ઘેટાં અને કૂતરાને નાકને સ્પર્શ.
... | Yes | task440_eng_guj_parallel_corpus_gu_en_classification | NIv2 | zs_opt | 8 | validation |
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 Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: بین عام طور ... | A | task1132_xcsr_ur_commonsense_mc_classification | NIv2 | zs_opt | 1 | train |
Definition: In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Input: Question: ٹن ہمیشہ کے لئے کہاں محفوظ ہے؟
Options: A شاپنگ بیگ B لینڈ فل C ہارڈ ... | B | task1132_xcsr_ur_commonsense_mc_classification | NIv2 | zs_opt | 2 | train |
In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Ex Input:
Question: اگر کوئی شخص بیمار محسوس کررہا ہے ، لیکن اسے ختم کرنے کا کوئی پروجیکٹ ہے تو ، ا... | E
| task1132_xcsr_ur_commonsense_mc_classification | NIv2 | fs_opt | 1 | train |
In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: اگر میں خصوصی طبی مشاورت کے لئے تلاش کر رہا ہوں تو ، میں کہاں سفر کرنے کا رجحان رکھتا ہ... | E | task1132_xcsr_ur_commonsense_mc_classification | NIv2 | zs_opt | 4 | train |
In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: کسی کی آنکھوں سے پانی کیوں نکلے گا؟
Options: A پھاڑ دو B گلاس ختم C روشنی دیکھیں D با... | A | task1132_xcsr_ur_commonsense_mc_classification | NIv2 | zs_opt | 4 | train |
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Problem:Question: جہاں جیلی فش کا امکان نہیں ہے
Options: A بحر اوقیانوس B ج... | E | task1132_xcsr_ur_commonsense_mc_classification | NIv2 | zs_opt | 8 | train |
In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Let me give you an example: Question: کیوں ایک شخص بغیر کسی تنخواہ کے اپنی ملازمت پر قائم رہے گا؟
... | B | task1132_xcsr_ur_commonsense_mc_classification | NIv2 | fs_opt | 8 | train |
Given the task definition and input, reply with output. In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: آپ کو بندوق اور وردی والے لوگ کہا... | D | task1132_xcsr_ur_commonsense_mc_classification | NIv2 | zs_opt | 5 | train |
Teacher:In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Teacher: Now, understand the problem? Solve this instance: Question: رسی کے اوپر اور نیچے کو... | D | task1132_xcsr_ur_commonsense_mc_classification | NIv2 | zs_opt | 6 | test |
In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
[Q]: Question: انسانوں کے پاس ایسی کون سی گول چیزیں ہوتی ہیں جو آس پاس ہوتی ہیں؟
Options: A دو با... | D
| task1132_xcsr_ur_commonsense_mc_classification | NIv2 | fs_opt | 5 | validation |
In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Your answer should be a ... | [86, 429, 305, 267, 424, 292, 315, 306, 104, 31, 44, 80, 397, 274, 217, 230, 213, 414] | task1150_delete_max_min | NIv2 | zs_opt | 0 | train |
In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Your answer should be a ... | [96, 173, 120, 362, 235, 73, 383, 193, 394, 285, 328, 437, 381, 297, 158, 453, 430, 282]
| task1150_delete_max_min | NIv2 | fs_opt | 7 | train |
TASK DEFINITION: In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Your an... | [398, 302, 117, 340, 76, 379, 182, 435, 194, 316, 445, 248, 123, 288, 301, 33, 360, 404]
| task1150_delete_max_min | NIv2 | fs_opt | 8 | train |
In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Your answer should be a ... | [30, 181, 201, 208, 147, 314, 381, 310, 353, 370, 300, 214, 366, 368, 308, 318, 274, 347]
| task1150_delete_max_min | NIv2 | fs_opt | 6 | train |
In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Your answer should be a ... | [262, 391, 257, 118, 326, 343, 209, 249, 88, 79, 236, 305, 83, 180, 318, 382, 285, 378] | task1150_delete_max_min | NIv2 | zs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the l... | [432, 95, 162, 299, 309, 194, 186, 97, 201, 431, 233, 93, 464, 407, 141, 462, 129, 258] | task1150_delete_max_min | NIv2 | zs_opt | 5 | train |
In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Your answer should be a ... | [324, 432, 172, 445, 78, 405, 194, 220, 436, 461, 448, 42, 166, 450, 478, 474, 175, 27]
| task1150_delete_max_min | NIv2 | fs_opt | 6 | train |
Q: In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Your answer should be... | [343, 388, 113, 57, 169, 354, 297, 78, 456, 45, 61, 166, 221, 203, 265, 304, 121, 96] | task1150_delete_max_min | NIv2 | zs_opt | 7 | train |
Detailed Instructions: In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Y... | [220, 74, 306, 242, 105, 176, 191, 121, 395, 117, 378, 42, 390, 458, 82, 404, 236, 374] | task1150_delete_max_min | NIv2 | zs_opt | 9 | test |
Detailed Instructions: In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Y... | [226, 166, 67, 285, 388, 172, 184, 220, 299, 98, 165, 449, 41, 99, 248, 126, 182, 434] | task1150_delete_max_min | NIv2 | fs_opt | 4 | validation |
Teacher:In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Teacher: Now, understand the problem? Solve... | False | task1308_amazonreview_category_classification | NIv2 | zs_opt | 6 | train |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Q: Reviews: I ordered these SPECIFICALLY because I ... | True | task1308_amazonreview_category_classification | NIv2 | zs_opt | 4 | train |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Q: Reviews: The seat was not constructed very well.... | True | task1308_amazonreview_category_classification | NIv2 | zs_opt | 4 | train |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Example Input: Reviews: I spend all of my time unt... | False
| task1308_amazonreview_category_classification | NIv2 | fs_opt | 3 | train |
Instructions: In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Input: Reviews: I bought this thinkin... | True | task1308_amazonreview_category_classification | NIv2 | zs_opt | 3 | train |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
One example is below.
Q: Review: Arrived broken. Ma... | True | task1308_amazonreview_category_classification | NIv2 | fs_opt | 9 | train |
Teacher: In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Teacher: Now, understand the problem? If y... | True | task1308_amazonreview_category_classification | NIv2 | fs_opt | 2 | 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're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True... | True | task1308_amazonreview_category_classification | NIv2 | fs_opt | 0 | train |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
[Q]: Reviews: USB c port cover was broken. got a r... | True
| task1308_amazonreview_category_classification | NIv2 | fs_opt | 5 | test |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Reviews: The pump did start to rust. I was told th... | True | task1308_amazonreview_category_classification | NIv2 | zs_opt | 0 | validation |
Q:Determine the topic of the question. Question: "How did Edgar Allan Poe die??" Topic:
A: | Edgar allan poe | wiki_qa_Topic_Prediction_Question_Only | P3 | zs_opt | 3 | train |
[Q]: Determine the topic of the question. Question: "what is impingement of the shoulder?" Topic:
****
[A]: Impingement syndrome
input: Please answer the following: Determine the topic of the question. Question: "what affects the money supply?" Topic:
++++++++++
output: Money supply
Please answer this: Determine the ... | Vitamin B12 | wiki_qa_Topic_Prediction_Question_Only | P3 | fs_opt | 6 | train |
Please answer the following question: Determine the topic of the question. Question: "what did chaucer do?" Topic:
A: | Geoffrey Chaucer | wiki_qa_Topic_Prediction_Question_Only | P3 | zs_opt | 8 | train |
Please answer the following question: Determine the topic of the question. Question: "what is a store confectioner?" Topic:
Answer: | Confectionery store | wiki_qa_Topic_Prediction_Question_Only | P3 | zs_noopt | 9 | train |
Answer the following question: Determine the topic of the question. Question: "how is slugging percentage calculated?" Topic:
Answer: | Slugging percentage | wiki_qa_Topic_Prediction_Question_Only | P3 | zs_opt | 5 | train |
Please answer the following question: Determine the topic of the question. Question: "What is Ischemia or infarction??" Topic:
Answer: | Ischemia | wiki_qa_Topic_Prediction_Question_Only | P3 | zs_noopt | 9 | train |
Answer the following question: Determine the topic of the question. Question: "what culture is mariah carey?" Topic:
Answer: | Mariah Carey | wiki_qa_Topic_Prediction_Question_Only | P3 | zs_noopt | 5 | train |
input question: Determine the topic of the question. Question: "what is an irregular heartbeat pvc?" Topic:???
output answer: Premature ventricular contraction
input question: Determine the topic of the question. Question: "what county is Cambria WI in?" Topic:???
output answer: Cambria, Wisconsin
input question: Det... | Bloemfontein | wiki_qa_Topic_Prediction_Question_Only | P3 | fs_opt | 9 | train |
input: Please answer the following: Determine the topic of the question. Question: "what is an agents job role in film?" Topic:
++++++++++
output: Talent agent
Please answer this: Determine the topic of the question. Question: "where is good morning america studio?" Topic:
++++++++
Answer: Times Square Studios
Proble... | Black pepper | wiki_qa_Topic_Prediction_Question_Only | P3 | fs_opt | 8 | test |
Determine the topic of the question. Question: "how was the moon formed?" Topic:
A: | Moon | wiki_qa_Topic_Prediction_Question_Only | P3 | zs_opt | 2 | validation |
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 will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Alonzo feels angry.
S... | female | task1336_peixian_equity_evaluation_corpus_gender_classifier | NIv2 | fs_opt | 0 | train |
Detailed Instructions: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Q: The conversation with my brother was annoying.
A: | male | task1336_peixian_equity_evaluation_corpus_gender_classifier | NIv2 | zs_opt | 9 | train |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Q: The situation makes this girl feel furious.
A: | female | task1336_peixian_equity_evaluation_corpus_gender_classifier | NIv2 | zs_opt | 4 | train |
Part 1. Definition
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Part 2. Example
Alonzo feels angry.
Answer: male
Explanation: The gender of the person is correct and detected mainly based ... | female | task1336_peixian_equity_evaluation_corpus_gender_classifier | NIv2 | fs_opt | 7 | train |
You will be given a definition of a task first, then some input of the task.
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
The situation makes Heather feel anxious.
Output: | female | task1336_peixian_equity_evaluation_corpus_gender_classifier | NIv2 | zs_opt | 1 | train |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Q: Latoya told us all about the recent horrible events.
A: | female | task1336_peixian_equity_evaluation_corpus_gender_classifier | NIv2 | zs_opt | 4 | train |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Q: This boy feels disappointed.
A: | male | task1336_peixian_equity_evaluation_corpus_gender_classifier | NIv2 | zs_opt | 4 | train |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
My mom feels anxious.
female
My aunt made me feel scared.
female
He found himself in a great situation.
| male
| task1336_peixian_equity_evaluation_corpus_gender_classifier | NIv2 | fs_opt | 0 | train |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
This girl found herself in a depressing situation. | female | task1336_peixian_equity_evaluation_corpus_gender_classifier | NIv2 | zs_opt | 0 | test |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
He found himself in a shocking situation.
male
I made Nichelle feel irritated.
female
The situation makes Jasmine feel irritated.
| female
| task1336_peixian_equity_evaluation_corpus_gender_classifier | NIv2 | fs_opt | 0 | validation |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Problem:પ્રધાનમંત્રીએ સરકારનાં ભૂતપૂર્વ સૈનિકો માટે કલ્યાણકારક પગલાંને યાદ કરતાં કહ્યું હતું કે, છેલ્લાં 40 વર્ષથી ભૂતપૂર્વ સૈન્... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਹਿਮਾਚਲ ਪ੍ਰਦੇਸ਼ ਸਰਕਾਰ ਦਾ ਇੱਕ ਸਾਲ ਪੂਰਾ ਹੋਣ ’ਤੇ ਧਰਮਸ਼ਾਲਾ ਵਿੱਚ ਜਨ ਆਭਾਰ ਰੈਲੀ ਨੂੰ ਸੰਬੋਧਨ ਕੀਤਾ | task1043_pib_translation_gujarati_punjabi | NIv2 | zs_opt | 8 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
One example is below.
Q: કિલોમીટર લાંબો કલ્યાણથી તલોજા મેટ્રો – 12 કોરીડોર
A: ਕਿਲੋਮੀਟਰ ਲੰਬਾ ਵੈਲਫੇਅਰ ਟਾਲੋਜਾ ਮੈਟਰੋ - 12 ਕੋਰਡੋਰ
Rationale: Correct transla... | ਦੋਵਾਂ ਦੇਸ਼ਾਂ ਦੇ ਰੇਲ ਉਦਯੋਗ ਦੇ ਵਿਕਾਸ ਲਈ ਸਲਾਹ; | task1043_pib_translation_gujarati_punjabi | NIv2 | fs_opt | 9 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
--------
Question: પછી ગ્રામ પંચાયતનો કાર્યકાળ હોય, સરકારી રાશનની દુકાન હોય, પટવારી હોય, હોસ્પિટલ હોય, શાળા હોય – આ તમામ સુવિધાઓ એક જ જગ્યાએ આપવી બહુ મ... | ਭਾਈਓ-ਭੈਣੋਂ, ਮੈ ਵਿਆਕੁਲ ਹਾਂ, ਮੈਂ ਪਰੇਸ਼ਾਨ ਵੀ ਹਾਂ। ਮੈਂ ਕਾਹਲਾਂ ਹਾਂ ਤਾਕਿ ਆਪਣੇ ਸ਼ਹਿਰੀ ਨੂੰ quality of life, ease of living ਦਾ ਮੌਕਾ ਪ੍ਰਦਾਨ ਹੋਵੇ, ਉਸ ਵਿੱਚ ਵੀ ਸੁਧਾਰ ਆਵੇ।
| task1043_pib_translation_gujarati_punjabi | NIv2 | fs_opt | 7 | train |
TASK DEFINITION: A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
PROBLEM: ભારતમાં નવી દિલ્હી સ્થિત ભારતીય કૃષિ સંશોધન પરિષદ અને દક્ષિણ આફ્રિકામાં પ્રિટોરિયા સ્થિત કૃષિ સંશોધન પરિષદ વચ્ચે કૃષિ ક્ષેત્ર... | ਇਸ ਸਹਿਮਤੀ ਪੱਤਰ 'ਤੇ ਭਾਰਤ ਵੱਲੋਂ 11 ਮਾਰਚ, 2019 ਨੂੰ ਬੰਗਲੁਰੂ ਵਿੱਚ ਅਤੇ 28 ਮਾਰਚ, 2019 ਨੂੰ ਬਹਿਰੀਨ ਵੱਲੋਂ ਮਨਾਮਾ 'ਚ ਹਸਤਾਖਰ ਕੀਤੇ ਗਏ ਸਨ।
| task1043_pib_translation_gujarati_punjabi | NIv2 | fs_opt | 8 | train |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: કાર્પેટ એરિયામાં વધારાને પગલે મધ્યમ આવક જૂથની શ્રેણીના લોકોને ડેવલપર્સના પ્રોજેક્ટોમાં વધુ બહોળી પસંદગી મળી શકશે.
A: | ਕਾਰਪੈਟ ਖੇਤਰ ਵਿੱਚ ਵਾਧਾ ਡਿਵੈਲਪਰ ਪਰਿਯੋਜਨਾ ਵਿੱਚ ਵਿਅਕਤੀਆਂ ਦੀ ਮਿਡਲ ਇਨਕਮ ਸ਼੍ਰੇਣੀ ਨੂੰ ਵਾਧੂ ਵਿਕਲਪ ਪ੍ਰਦਾਨ ਕਰਵਾਏਗਾ। | task1043_pib_translation_gujarati_punjabi | NIv2 | zs_opt | 9 | train |
Part 1. Definition
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Part 2. Example
કિલોમીટર લાંબો કલ્યાણથી તલોજા મેટ્રો – 12 કોરીડોર
Answer: ਕਿਲੋਮੀਟਰ ਲੰਬਾ ਵੈਲਫੇਅਰ ਟਾਲੋਜਾ ਮੈਟਰੋ - 12 ਕੋਰਡੋਰ
Explanation... | ਭਾਰਤੀ ਪੁਰਾਤੱਤਵ ਸਰਵੇਖਣ (ਏਐੱਸਆਈ) ਹੈੱਡਕੁਆਰਟਰ ਦੀ ਨਵੀਂ ਇਮਾਰਤ ਊਰਜਾ ਦਕਸ਼ ਪ੍ਰਕਾਸ਼ ਅਤੇ ਵਰਖਾ ਪਾਣੀ ਭੰਡਾਰਨ ਸਮੇਤ, ਅਤਿ ਆਧੁਨਿਕ ਸਹੂਲਤਾਂ ਨਾਲ ਲੈਸ ਹੈ। ਇਸ ਵਿੱਚ ਲਗਭਗ 1. | task1043_pib_translation_gujarati_punjabi | NIv2 | fs_opt | 7 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example input: કિલોમીટર લાંબો કલ્યાણથી તલોજા મેટ્રો – 12 કોરીડોર
Example output: ਕਿਲੋਮੀਟਰ ਲੰਬਾ ਵੈਲਫੇਅਰ ਟਾਲੋਜਾ ਮੈਟਰੋ - 12 ਕੋਰਡੋਰ
Example explanation: C... | ਖੇਤੀਬਾੜੀ ਮੰਤਰਾਲਾ | task1043_pib_translation_gujarati_punjabi | NIv2 | fs_opt | 3 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example input: કિલોમીટર લાંબો કલ્યાણથી તલોજા મેટ્રો – 12 કોરીડોર
Example output: ਕਿਲੋਮੀਟਰ ਲੰਬਾ ਵੈਲਫੇਅਰ ਟਾਲੋਜਾ ਮੈਟਰੋ - 12 ਕੋਰਡੋਰ
Example explanation: C... | ਸਾਈਟੇਸ਼ਨ ਵਿੱਚ ਇਹ ਵੀ ਕਿਹਾ ਹੈ ਕਿ ਉਨ੍ਹਾਂ ਦੀ ਦੂਰਦਰਸ਼ੀ ਅਗਵਾਈ ਸਦਕਾ ਸਮਾਜਕ ਲਾਭ ਅਤੇ ਵਿੱਤੀ ਸਮਾਵੇਸ਼ਨ ਲਈ ਵਿਲੱਖਣ ਪਹਿਚਾਣ ਸੰਖਿਆ, ਆਧਾਰ ਸਹਿਤ ਡਿਜੀਟਲ ਕ੍ਰਾਂਤੀ (ਡਿਜੀਟਲ ਇੰਡੀਆ) ਹੋ ਸਕੀ। ਇਸ ਨਾਲ ਉੱਦਮਤਾ, ਵਪਾਰ ਸੁਗਮਤਾ ਅਤੇ ਦੇਸ਼ ਲਈ 21ਵੀਂ ਸਦੀ ਦਾ ਢਾਂਚਾਗਤ ਵਿਕਾਸ ਕਰਨ ਵਿੱਚ ਮਦਦ ਮਿਲੀ ਹੈ। | task1043_pib_translation_gujarati_punjabi | NIv2 | fs_opt | 3 | train |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
5 અબજ યુએસ ડોલરની સપાટીએ પહોંચી જશે અને મોબાઈલ માટે ખર્ચાતા નાણાં અંદાજે વર્ષ 2018માં 1.
| 59 ਬਿਲੀਅਨ ਅਮਰੀਕੀ ਡਾਲਰ ਤੱਕ ਪਹੁੰਚਣ ਦੀ ਉਮੀਦ ਹੈ ਅਤੇ ਸਾਲ 2018 ਵਿੱਚ ਮੋਬਾਈਲ ਖਰਚ 1. | task1043_pib_translation_gujarati_punjabi | NIv2 | zs_opt | 5 | test |
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: Consider Input: પ્રધાનમંત્રી ચોથી માર્ચનાં રોજ મેડિકલ કોલેજ સંકુલની મુલાકાત લેશે અને વિવિધ વિકાસલક્ષી કામગીરીઓનો શુભારંભ કરશે.
Output: 04 ਮਾਰਚ... | Output: ਕੇਂਦਰੀ ਮੰਤਰੀ ਮੰਡਲ ਨੂੰ ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਦੀ ਅਗਵਾਈ ਹੇਠ ਭਾਰਤ ਅਤੇ ਡੈੱਨਮਾਰਕ ਦਰਮਿਆਨ ਟਿਕਾਊ ਅਤੇ ਸਮਾਰਟ ਸ਼ਹਿਰੀ ਵਿਕਾਸ ਦੇ ਖੇਤਰ ਵਿੱਚ ਤਕਨੀਕੀ ਸਹਿਯੋਗ ਬਾਰੇ ਅਪ੍ਰੈਲ 2018 ਵਿੱਚ ਹੋਏ ਸਹਿਮਤੀ ਪੱਤਰ ਬਾਰੇ ਜਾਣੂ ਕਰਵਾਇਆ ਗਿਆ।
| task1043_pib_translation_gujarati_punjabi | NIv2 | fs_opt | 2 | validation |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Maria offered a man from work a payment
Maria offered a payment to a man from work
Michael... | Mary groaned something to a woman who was wearing a hat
| task132_dais_text_modification | NIv2 | fs_opt | 0 | train |
TASK DEFINITION: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
PROBLEM: Michael whined the man wearing the hat a gripe
SOLUTION: Michael ... | Alice assigned the job to the woman who was from work
| task132_dais_text_modification | NIv2 | fs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Juan warbled t... | Juan warbled something to the woman | task132_dais_text_modification | NIv2 | zs_opt | 1 | train |
Detailed Instructions: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Problem:Maria mumbled the woman who was from work the instructions
So... | Maria mumbled the instructions to the woman who was from work | task132_dais_text_modification | NIv2 | zs_opt | 8 | train |
Given the task definition, example input & output, solve the new input case.
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Example: Bob to... | Bob stuttered something to the woman | task132_dais_text_modification | NIv2 | fs_opt | 1 | train |
Definition: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Input: Bob hurled a man a necklace
Output: | Bob hurled a necklace to a man | task132_dais_text_modification | NIv2 | zs_opt | 2 | train |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
One example: Bob took the woman from work a cake
Solution is here: Bob took a cake to the wo... | John wired some money to the woman | task132_dais_text_modification | NIv2 | fs_opt | 6 | train |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
One example: Bob took the woman from work a cake
Solution is here: Bob took a cake to the wo... | John reimbursed a charge to a man from work | task132_dais_text_modification | NIv2 | fs_opt | 6 | train |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Let me give you an example: Bob took the woman from work a cake
The answer to this example ... | Linda allocated something to the man who was from work | task132_dais_text_modification | NIv2 | fs_opt | 8 | test |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
One example is below.
Q: Bob took the woman from work a cake
A: Bob took a cake to the woman... | Bob contributed the money to a man wearing a hat | task132_dais_text_modification | NIv2 | fs_opt | 9 | validation |
Instructions: Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Input: Párrafo: Había 158 349 hogares, de los cuales 68 511 (el 43,3 %) tenían hijos menores de 18 a... | 3,07 | task1610_xquad_es_answer_generation | NIv2 | zs_opt | 3 | train |
Detailed Instructions: Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Problem:Párrafo: Los cloroplastos tienen su propio ADN, a menudo abreviado como ctDNA, o cp... | ctDNA, o cpDNA | task1610_xquad_es_answer_generation | NIv2 | zs_opt | 8 | train |
Teacher:Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Teacher: Now, understand the problem? Solve this instance: Párrafo: La eficiencia de un ciclo de Rankine e... | 565 °C | task1610_xquad_es_answer_generation | NIv2 | zs_opt | 6 | train |
Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Let me give you an example: Párrafo: Martín Lutero se casó con Katharina von Bora, una de las 12 monjas a las que... | 22 | task1610_xquad_es_answer_generation | NIv2 | fs_opt | 8 | train |
Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Párrafo: El vecindario incluye Kearney Boulevard, que lleva el nombre de un empresario y millonario de principios... | 37 600 millones de dólares
| task1610_xquad_es_answer_generation | NIv2 | fs_opt | 0 | train |
TASK DEFINITION: Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
PROBLEM: Párrafo: El Mercado del Grainger reemplazó a un mercado anterior construido originalment... | Lucas Cranach
| task1610_xquad_es_answer_generation | NIv2 | fs_opt | 8 | train |
Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Párrafo: Kenia participa en varios deportes, entre ellos críquet, rally, fútbol, rugby y boxeo. El país es cono... | Baiju
| task1610_xquad_es_answer_generation | NIv2 | fs_opt | 0 | train |
Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Párrafo: El primer asentamiento registrado en lo que ahora es Newcastle fue Pons Aelius, una fortaleza romana y u... | romper los votos
| task1610_xquad_es_answer_generation | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Párrafo: Se sospecha, aunque no ha sido demostrado, que m... | P ⊆ NP ⊆ PP ⊆ PSPACE | task1610_xquad_es_answer_generation | NIv2 | zs_opt | 5 | test |
Given the task definition, example input & output, solve the new input case.
Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Example: Párrafo: Martín Lutero se ca... | siendo metódicos y excepcionalmente detallados en su estudio bíblico | task1610_xquad_es_answer_generation | NIv2 | fs_opt | 1 | validation |
Problem: OPTIONS:
- keeps the organism warm
- rapid expansion
- permineralization
- Plant growth is reduced
- major threat to health
- electron transport
- more abundant
- flow of electrons
Q: Fact 1: Electron transport is the final stage of aerobic respiration. Fact 2: Breathing gets oxygen into the body, but aerobic... | whale blubber | qasc_qa_with_separated_facts_3 | P3 | fs_opt | 5 | train |
Answer the following question: Fact 1: Heating a liquid can be used to identify that liquid 's boiling point. Fact 2: Because at the boiling point of water, there are molecules that are a gas and that are a liquid. Given the two facts above, what does boiling change a liquid into?
OPT: 1. oil. 2. heat. 3. SO2. 4. sa... | 8. | qasc_qa_with_separated_facts_3 | P3 | zs_opt | 4 | train |
Possible answers: i. color; ii. energy of moving objects; iii. density; iv. Temperature; v. Electrical energy; vi. magnitude of velocity; vii. kinetic energy; viii. water content;
Given those answer options, answer the question: Fact 1: Force causes the speed of an object to increase. Fact 2: Speed is the magnitude of... | vi. | qasc_qa_with_separated_facts_3 | P3 | zs_opt | 8 | train |
Fact 1: Chemical splashing can cause harm to humans. Fact 2: Human embryos are fully human. Given the two facts above, what could chemical splashing harm?
Answer: | embryos | qasc_qa_with_separated_facts_3 | P3 | zs_noopt | 1 | train |
Fact 1: Immunity results from immunization. Fact 2: Results can be damaging or disastrous. Given the two facts above, lack of what can be damaging or disastrous?
OPTIONS:
- force
- violence
- immunization
- food and shelter
- sensory neurons
- kinetic energy
- heat energy
- beatings
Answer: immunization
Problem: ... | female gametes | qasc_qa_with_separated_facts_3 | P3 | fs_opt | 3 | train |
Q: Fact 1: Lakes are formed by precipitation and runoff. Fact 2: Lakes are large bodies of inland water. Given the two facts above, precipitation and runoff can result in large bodies of what?
Choose your answer from: [-] drizzle [-] erosion [-] rain [-] storm [-] water [-] hail [-] liquid [-] streams
The answer is: | water | qasc_qa_with_separated_facts_3 | P3 | zs_opt | 9 | train |
Q: Fact 1: Some parasites kill their host, but most do not. Fact 2: Nutrients of the host are most likely absorbed through the body surface of the parasite. Given the two facts above, where do parasites get their nutrients?
Options:
- an area swollen with pus.
- water.
- an organism's body.
- they body they live... | they body they live in | qasc_qa_with_separated_facts_3 | P3 | zs_opt | 3 | train |
input: OPTIONS:
- energy.
- liver
- glycoproteins
- survival
- energy
- growth
- blood sugar
- food Now, answer this question: Fact 1: Organisms use lipids to store energy. Fact 2: Plants and animals are organisms. Given the two facts above, lipid stores are used by plants and animals for what?
A:
output: energy
Fa... | chemicals | qasc_qa_with_separated_facts_3 | P3 | fs_opt | 1 | train |
Fact 1: Amutation in the sex cells of a parent can cause a new trait to appear in the parent 's offspring. Fact 2: Sometimes animal offspring look very different from their parents. Given the two facts above, a mutation in what of a parent can cause children to look very different from their parents?
OPTIONS:
- chrom... | heat
-- | qasc_qa_with_separated_facts_3 | P3 | fs_opt | 0 | test |
input with options: Fact 1: Some birds are pollinators that co-evolved with plants. Fact 2: Plants spread by self- seeding and below ground stems. Given the two facts above, some birds are pollinators that co-evolved with what organisms?
OPTIONS:
- mammals
- animals
- self eating
- peachleaf willow
- self seeding
- s... | streams with fallen trees | qasc_qa_with_separated_facts_3 | P3 | fs_opt | 4 | validation |
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