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Part 1. Definition
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Part 2. Example
[-83, 53, -48, 8]
Answer: [-80, 50, -50, 10]
Explanation: The output correctly rounds each integer in the i... | [210, -520, 180, 670, -740, -60, -410, -480, -700, 770, 0, -690, 690, 550, -860] | task373_synthetic_round_tens_place | NIv2 | fs_opt | 7 | train |
Detailed Instructions: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
See one example below:
Problem: [-83, 53, -48, 8]
Solution: [-80, 50, -50, 10]
Explanation: The output correctly rounds... | [-910, 800, -60, 730, 410, -660, 630, -630, -900, -420, -110, -240, 150] | task373_synthetic_round_tens_place | NIv2 | fs_opt | 4 | train |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[-68, 81]
[-70, 80]
[873, -786, 329, 824, -877, -169, 398, 864, 913, -837, -78]
[870, -790, 330, 820, -880, -170, 400, 860, 910, -840, -80]
... | [-20, 320, -200, -270, -560, -90, 430, -930, -30, 370, 30, 210]
| task373_synthetic_round_tens_place | NIv2 | fs_opt | 0 | train |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[-46, 966]
[-50, 970]
[-109, -20, 461, 670, 330, -163, -960, 965, -127, -165, -687, 53, -165, 782, -345]
[-110, -20, 460, 670, 330, -160, -9... | [-380, -170, -510, -330, -740, -160, 90, -810, -760, 120]
| task373_synthetic_round_tens_place | NIv2 | fs_opt | 0 | train |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[-22, -472, 999, -919, -758, -544, 576, 479, 470, -106, 709, 94,... | [-20, -470, 1000, -920, -760, -540, 580, 480, 470, -110, 710, 90, -260, 120] | task373_synthetic_round_tens_place | NIv2 | zs_opt | 1 | train |
Part 1. Definition
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Part 2. Example
[-83, 53, -48, 8]
Answer: [-80, 50, -50, 10]
Explanation: The output correctly rounds each integer in the i... | [0, 400, 900, 970, 270, -300, -800, 540, -80] | task373_synthetic_round_tens_place | NIv2 | fs_opt | 7 | train |
instruction:
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
question:
[-162, 766, 719, 409, -702, -626, -404, -542, 42, -211, 624, 957]
answer:
[-160, 770, 720, 410, -700, -630, -400, -540,... | [-600, 100, 930, 820, 720, -880, -230, -930]
| task373_synthetic_round_tens_place | NIv2 | fs_opt | 9 | train |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[836, -290, 400, -697, -163, -695]
| [840, -290, 400, -700, -160, -700] | task373_synthetic_round_tens_place | NIv2 | zs_opt | 5 | train |
Definition: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Input: [-950, 79, -956, -809, 761, -669, 39, -398, -110, 13, 783, 350, 544, 59]
Output: | [-950, 80, -960, -810, 760, -670, 40, -400, -110, 10, 780, 350, 540, 60] | task373_synthetic_round_tens_place | NIv2 | zs_opt | 2 | test |
Part 1. Definition
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Part 2. Example
[-83, 53, -48, 8]
Answer: [-80, 50, -50, 10]
Explanation: The output correctly rounds each integer in the i... | [-230, -130, -560, -560, 780, -600] | task373_synthetic_round_tens_place | NIv2 | fs_opt | 7 | validation |
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
--------
Question: When was er how did the party overthrow the elected government... | disfluent
| task1623_disfl_qa_disfluent_question_classification | NIv2 | fs_opt | 7 | train |
Part 1. Definition
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Part 2. Example
Who influenced the fundamentalist sorry no non... | proper | task1623_disfl_qa_disfluent_question_classification | NIv2 | fs_opt | 7 | train |
Teacher:Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Teacher: Now, understand the problem? Solve this instance: What type of r... | proper | task1623_disfl_qa_disfluent_question_classification | NIv2 | zs_opt | 6 | train |
Detailed Instructions: Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Problem:What city, sorry, building was a gift from the Sov... | disfluent | task1623_disfl_qa_disfluent_question_classification | NIv2 | zs_opt | 8 | train |
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
[Q]: What is one country that can't be suggested for importation of medicines?
[... | proper
| task1623_disfl_qa_disfluent_question_classification | NIv2 | fs_opt | 5 | train |
Teacher:Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Teacher: Now, understand the problem? Solve this instance: What Chinese o... | disfluent | task1623_disfl_qa_disfluent_question_classification | NIv2 | zs_opt | 6 | train |
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
One example: Who influenced the fundamentalist sorry no non-Taliban ideology?
Sol... | proper | task1623_disfl_qa_disfluent_question_classification | NIv2 | fs_opt | 6 | train |
Definition: Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Input: What do I mean how do private schools in Ireland different fro... | disfluent | task1623_disfl_qa_disfluent_question_classification | NIv2 | zs_opt | 2 | train |
Detailed Instructions: Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Q: What percentile of gross domestic product does manufact... | disfluent | task1623_disfl_qa_disfluent_question_classification | NIv2 | zs_opt | 9 | 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.
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form ... | disfluent | task1623_disfl_qa_disfluent_question_classification | NIv2 | fs_opt | 0 | validation |
Instructions: The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT... | show me 2 star restaurants . | task263_spl_translation_pl_en | NIv2 | zs_opt | 3 | train |
Definition: The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* ... | show me " mexican " restaurants . | task263_spl_translation_pl_en | NIv2 | zs_opt | 2 | train |
Teacher:The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* look... | show me a list of " vegan " restaurants with at least 0 reviews . | task263_spl_translation_pl_en | NIv2 | zs_opt | 6 | train |
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written... | display restaurants that were rated above 1 | task263_spl_translation_pl_en | NIv2 | fs_opt | 1 | train |
The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for ... | show me all " chinese " restaurants with 5 star ratings within 5 miles .
| task263_spl_translation_pl_en | NIv2 | fs_opt | 7 | train |
The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for ... | show me restaurants that have a rating of at least 8 stars .
| task263_spl_translation_pl_en | NIv2 | fs_opt | 3 | train |
The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for ... | find me some places to eat in " detroit " . | task263_spl_translation_pl_en | NIv2 | fs_opt | 8 | train |
TASK DEFINITION: The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *... | display any restaurants with overall rating of 2 or above .
| task263_spl_translation_pl_en | NIv2 | fs_opt | 8 | train |
Teacher:The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* look... | search for " mexican " restaurants | task263_spl_translation_pl_en | NIv2 | zs_opt | 6 | test |
instruction:
The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT*... | find " italian " restaurants .
| task263_spl_translation_pl_en | NIv2 | fs_opt | 9 | validation |
You will be given a definition of a task first, then some input of the task.
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
രാജ്യത്ത് ഏറ്റവും പിന്നാക്കം നില്ക്കുന്ന 100 ജില്ലകളില് ശ്രദ്ധയൂന്നാനും, അത... | उन्होंने अधिकारियों को भारत के 100 सबसे पिछड़े जिलों पर ध्यान केंद्रित करने के लिए कहा ताकि उन्हें विभिन्न विकास मानकों पर राष्ट्रीय औसत स्तर के करीब लाया जा सके। | task1018_pib_translation_malayalam_hindi | NIv2 | zs_opt | 1 | train |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
പാവപ്പെട്ടവരുടെയും എളുപ്പത്തില് ചൂഷണം ചെയ്യപ്പെടാവുന്നവരുടേയും സാമ്പത്തിക സുരക്ഷിതത്വം ഉറപ്പു വരുത്താന് ഗവണ്മെന്റ് സ്വീകരിച്ച നടപടികള് പ്രധാനമന്ത്രി വ... | प्रधानमंत्री ने गरीबों और वंचितों को वित्तीय सुरक्षा सुनिश्चित करने के लिए सरकार द्वारा उठाए गए विभिन्न उपायों के बारे में भी बताया। | task1018_pib_translation_malayalam_hindi | NIv2 | zs_opt | 0 | train |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: വിദേശ വിപണികളില് ഉയര്ന്ന സാങ്കേതികവിദ്യാ ഉല്പ്പന്നങ്ങള് എത്തിക്കുന്നതിന് രൂപകല്പ്പനയിലും വികാസത്തിലും ഉല്പ്പാദനത്തിലും നാം ... | हम अंतरिक्ष प्रौद्योगिकी, विमानन, नए पदार्थ, कृषि, सूचना एवं संचार प्रौद्योगिकी, दवा, फार्मास्युटिकल्स, रोबोटिक्स, नैनोटेक्नोलॉजी, सुपरकम्प्यूटिंग तकनीकी, कृत्रिम बौद्धिकता एवं भौतिक विज्ञान जैसे क्षेत्रों में वैज्ञानिक सहयोग को मजबूती देने और विदेशी बाजारों में उच्च प्रौद्योगिकी वाले उत्पादों को उतारने के लिए डिजाइन, ... | task1018_pib_translation_malayalam_hindi | NIv2 | zs_opt | 9 | train |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: ഇത്രയ്ക്ക് ഉന്നത ഗുണനിലവാരമുള്ള തൊഴില് മേഖലയിലെ ആളുകളുടെ കാര്യത്തിലിങ്ങനെയാണ് നടപടികളെന്നത് വേവലാതിപ്പെടുത്തുന്നതല്ലേ എന്ന് എന്റ... | इतने igh ualiy Proessionals के लिये मेरे साथियों बताइए ये चिंता का विषय है कि नहीं है। | task1018_pib_translation_malayalam_hindi | NIv2 | zs_opt | 9 | train |
Teacher: A text is given in Hindi. Translate it from the Hindi language to the Malayalam 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:
മാനവികത ഒരുമിച്ചു ചേരുമ്പോള് അദ്ഭുതങ്ങള് സംഭവിക്കുന്... | झारखंड के लिए एक अलग 247 डीडी चैनल की घोषणा की गई। | task1018_pib_translation_malayalam_hindi | NIv2 | fs_opt | 2 | train |
Instructions: A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Input: സര്ദാര് വല്ലഭായ് പട്ടിേലിന്റെ ജന്മനാടായ ഗുജറാത്തിലെ നര്മദ ജില്ലയിലുള്ള കെവാദിയയില് അദ്ദേഹത്തിന്റെ ജന്മവാര്ഷിക നാളിലാണ് 182 മീറ്റര... | लौह पुरुष सरदार वल्लभभाई पटेल की जयंती पर 182 मीटर की उनकी प्रतिमा आज गुजरात के नर्मदा जिले के केवड़िया में राष्ट्र को समर्पित की गई। | task1018_pib_translation_malayalam_hindi | NIv2 | zs_opt | 3 | train |
Teacher:A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: രാജ്യത്തിനെതിരെ പ്രവര്ത്തിക്കുന്ന ശക്തികള്ക്കെതിരെ കര്ശന നടപടികള് കൈക്കൊള്ളുമെന്ന് അ... | उन्होंने लोगों को आश्वस्त करते हुए कहा कि राष्ट्र के हितों के विरूद्ध काम करने वाले लोगों के खिलाफ कड़ी कार्रवाई की जाएगी। | task1018_pib_translation_malayalam_hindi | NIv2 | zs_opt | 6 | train |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Example input: മാനവികത ഒരുമിച്ചു ചേരുമ്പോള് അദ്ഭുതങ്ങള് സംഭവിക്കുന്നു എന്നാണിത് കാണിക്കുന്നത്
Example output: इससे पता चलता है कि मानवता एक साथ होती है
... | आप लोग भली-भांति समझ गए होंगे कि मैं भारत और अफगानिस्तान के टेस्ट मैच की बात कर रहा हू। | task1018_pib_translation_malayalam_hindi | NIv2 | fs_opt | 3 | train |
Q: A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
പ്രധാനമന്ത്രി, അടുത്തിടെ നടന്ന പൊതു തെരഞ്ഞെടുപ്പിനെ ഏറ്റവും വലിയ ജനാധിപത്യ പ്രവര്ത്തനമെന്നു വിശേഷിപ്പിക്കുകയും ഇനിയുള്ള നാളുകള് എല്ലാവരും ചേര്ന്ന് ഇന... | प्रधानमंत्री श्री मोदी ने हाल के आम चुनाव को दुनिया की सबसे बड़ी लोकतांत्रिक प्रक्रिया बताते हुए कहा कि अब समय आ गया है कि सभी लोग मिलकर भारत के विकास के लिए कार्य करें। | task1018_pib_translation_malayalam_hindi | NIv2 | zs_opt | 7 | test |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
One example is below.
Q: മാനവികത ഒരുമിച്ചു ചേരുമ്പോള് അദ്ഭുതങ്ങള് സംഭവിക്കുന്നു എന്നാണിത് കാണിക്കുന്നത്
A: इससे पता चलता है कि मानवता एक साथ होती है
Rati... | लेकिन आज दुनिया कह रही है कि भारत multi trillion dollar के investment का destination बन गया है। वहीं से आवाज बदल गई है। | task1018_pib_translation_malayalam_hindi | NIv2 | fs_opt | 9 | validation |
Definition: You are given a sentence in English language and we ask you to translate those to the Gujarati language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the... | UPS એ જટિલ સ્તરની નીચે છે અને આ કમ્પ્યૂટર બંધ થવા જઈ રહ્યું છે. | task1350_opus100_translation_en_gu | NIv2 | zs_opt | 2 | train |
You are given a sentence in English language and we ask you to translate those to the Gujarati language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the literal mea... | સર્વર ને દાખલ કરો કે જે રુમનાં યજમાનો છે, અથવા તેને ખાલી છોડી દો જો રુમ એ હાલનાં ખાતાનાં સર્વર પર હોય તો | task1350_opus100_translation_en_gu | NIv2 | zs_opt | 0 | train |
You are given a sentence in English language and we ask you to translate those to the Gujarati language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the literal mea... | જો તમે નકારાત્મક સૂચન મોકલો નહિં, તો બીજા સ્પર્ધકોને ખબર નહિં પડે કે મેમો કાઢી નંખાયેલ છે. | task1350_opus100_translation_en_gu | NIv2 | zs_opt | 0 | train |
You are given a sentence in English language and we ask you to translate those to the Gujarati language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the literal mea... | Output: તમને ઉપકરણ ને દાખલ કરવા માટે પરવાનગી આપેલ નથી. તમારા સિસ્ટમ વહીવટકર્તાને સંપર્ક કરો.
| task1350_opus100_translation_en_gu | NIv2 | fs_opt | 2 | train |
TASK DEFINITION: You are given a sentence in English language and we ask you to translate those to the Gujarati language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact a... | અધિકાર થયેલ વપરાશકર્તા તરીકે ચાલતા ગ્રાફીકલ કાર્યક્રમો સુરક્ષા કારણો માટે અવગણવા જોઇએ.
| task1350_opus100_translation_en_gu | NIv2 | fs_opt | 8 | train |
TASK DEFINITION: You are given a sentence in English language and we ask you to translate those to the Gujarati language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact a... | જીડીએમ રુપરેખાંકિત કરો (આ પ્રવેશ પ્રક્રિયા સંચાલક). આ માટે પાસવર્ડની જરુર પડશે.
| task1350_opus100_translation_en_gu | NIv2 | fs_opt | 8 | train |
Teacher:You are given a sentence in English language and we ask you to translate those to the Gujarati language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the lit... | X સર્વર (તમારું ગ્રાફિકવાળું ઈન્ટરફેસ) શરૂ કરવામાં નિષ્ફળ. એવું લાગે છે કે તે યોગ્ય રીતે સુયોજિત થયેલ નથી. તમારે કન્સોલમાં પ્રવેશ કરવાની જરૂર રહેશે અને X સર્વર પુનઃરૂપરેખાંકિત કરવું પડશે. પછી GDM પુનઃશરૂ કરો. | task1350_opus100_translation_en_gu | NIv2 | zs_opt | 6 | train |
You are given a sentence in English language and we ask you to translate those to the Gujarati language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the literal mea... | સમાપ્ત કરવા પ્રક્રિયા માટે રાહ જોઇ રહ્યા છે. અટકાવેલી પ્રક્રિયા એ તમે તમારા કામ ને ગુમાવવાનું કારણ બની શકે છે.
| task1350_opus100_translation_en_gu | NIv2 | fs_opt | 6 | train |
Teacher: You are given a sentence in English language and we ask you to translate those to the Gujarati language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the li... | તમારી પાસે "%s" ફાઇલો વાંચવાની સત્તા નથી | task1350_opus100_translation_en_gu | NIv2 | fs_opt | 2 | test |
You are given a sentence in English language and we ask you to translate those to the Gujarati language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the literal mea... | cdr જોડીનો પ્રકાર એક મૂળ પ્રકાર હોવો જોઇએઃ string, int, float અથવા bool | task1350_opus100_translation_en_gu | NIv2 | fs_opt | 9 | validation |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Q: ... | Hate Speech | task904_hate_speech_offensive_classification | NIv2 | zs_opt | 4 | train |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
[Q... | Neither
| task904_hate_speech_offensive_classification | NIv2 | fs_opt | 5 | train |
Given the task definition and input, reply with output. Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it ... | Neither | task904_hate_speech_offensive_classification | NIv2 | zs_opt | 5 | train |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Q: ... | Offensive | task904_hate_speech_offensive_classification | NIv2 | zs_opt | 4 | train |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Le... | Neither | task904_hate_speech_offensive_classification | NIv2 | fs_opt | 8 | train |
Detailed Instructions: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or ... | Hate Speech | task904_hate_speech_offensive_classification | NIv2 | zs_opt | 9 | train |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
[E... | Neither
| task904_hate_speech_offensive_classification | NIv2 | fs_opt | 6 | 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.
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while '... | Hate Speech | task904_hate_speech_offensive_classification | NIv2 | fs_opt | 0 | train |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
@K... | Hate Speech | task904_hate_speech_offensive_classification | NIv2 | zs_opt | 0 | test |
You will be given a definition of a task first, then some input of the task.
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. ... | Offensive | task904_hate_speech_offensive_classification | NIv2 | zs_opt | 1 | validation |
In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes it.
Premise : 'The five guests that answered die.','Hypothesis : There are e... | positive | task1516_imppres_naturallanguageinference | NIv2 | zs_opt | 0 | train |
Teacher:In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes it.
Teacher: Now, understand the problem? Solve this instance: Premis... | negated | task1516_imppres_naturallanguageinference | NIv2 | zs_opt | 6 | train |
Part 1. Definition
In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes it.
Part 2. Example
'Premise : All ten guys that proved to... | negated | task1516_imppres_naturallanguageinference | NIv2 | fs_opt | 7 | train |
In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes it.
[EX Q]: Premise : 'The five dishes that astounded Kenneth might chip.','... | neutral
| task1516_imppres_naturallanguageinference | NIv2 | fs_opt | 6 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes ... | negated | task1516_imppres_naturallanguageinference | NIv2 | fs_opt | 1 | train |
TASK DEFINITION: In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes it.
PROBLEM: Premise : 'If all seven waiters that were scari... | negated
| task1516_imppres_naturallanguageinference | NIv2 | fs_opt | 8 | train |
In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes it.
One example is below.
Q: 'Premise : All ten guys that proved to boast wer... | positive | task1516_imppres_naturallanguageinference | NIv2 | fs_opt | 9 | train |
In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes it.
Example: 'Premise : All ten guys that proved to boast were divorcing.','H... | Solution: positive | task1516_imppres_naturallanguageinference | NIv2 | fs_opt | 5 | train |
Teacher:In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes it.
Teacher: Now, understand the problem? Solve this instance: Premis... | negated | task1516_imppres_naturallanguageinference | NIv2 | zs_opt | 6 | test |
In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes it.
Q: Premise : 'If all two libraries that considered Scott to hate this tee... | positive | task1516_imppres_naturallanguageinference | NIv2 | zs_opt | 4 | validation |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Q: وعلى الأفرع تنمو مواد المكتبة
A: | Y en las ramas crece el material de la biblioteca. | task1232_ted_translation_ar_es | NIv2 | zs_opt | 9 | 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.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية... | Nuestro proyecto Reichstag, que tiene una agenda muy familiar, estoy seguro, como un espacio público donde buscamos a través de procesos de abogacía, reinterpretar la relación entre la sociedad y los políticos, el espacio público y quizá su agenda oculta, un manifiesto por la energía — algo que pueda ser libre, complet... | task1232_ted_translation_ar_es | NIv2 | fs_opt | 0 | train |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Input: بالتأكيد ، هذا الكائن عباره عن مزرعه محليه ، للأسماك والنباتات.
Output: | Realmente, este objeto es una granja doméstica, para peces y hortalizas. | task1232_ted_translation_ar_es | NIv2 | zs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
أصبحت لأفهم وجهة نظر "" جورج بيرنز "" ، الذي كان ما يزال يعمل في لاس فيغاس بشكل جسد وهو في التسعين.
Output: | Llegué a comprender los sentimientos de George Burns, que aún actuaba en Las Vegas bien entrado en sus 90 años. | task1232_ted_translation_ar_es | NIv2 | zs_opt | 1 | train |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Q: و لا واحد من هذه الخلايا مدرك و لا واحد من هذه الخلايا يعرف من أنت أو يهتم
A: | Ninguna de esas células es consciente, ninguna de esas células sabe quien eres tú, ni le importa. | task1232_ted_translation_ar_es | NIv2 | zs_opt | 9 | train |
Part 1. Definition
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Part 2. Example
فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي.
Answer: A fines del ve... | En este caso aqui, lo estamos volando remotamente, como hicimos al principio. | task1232_ted_translation_ar_es | NIv2 | fs_opt | 7 | train |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Input: وقدم تم توليد الطفل بعملية قيصرية لكن باربرا عانت من نقص اكسجين في الخلايا الدماغية
Output: | El bebé nació por cesárea, pero Barbara sufría de anoxia cerebral una falta de oxígeno en el cerebro. | task1232_ted_translation_ar_es | NIv2 | zs_opt | 2 | train |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Q: وأخبرتها أنه بعد الزرع ، جميع الدم المتدفق في أوردتها سيكون دمي ، المصنوع من خلايا النخاع الخاصة بي ، وداخل نواة كل خلية من تلك هو مجموعة كاملة من الحمض النووي الخاص بي.
A: | Y le dije que después del trasplante, toda la sangre que fluyera en sus venas sería mi sangre, a partir de mis células de la médula, y que dentro del núcleo de cada una de esas células habría un conjunto completo de mi ADN. | task1232_ted_translation_ar_es | NIv2 | zs_opt | 4 | train |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Example: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي.
Example solution: A fines del verano estamos ins... | Solution: Ya saben, básicamente, leer es algo bueno; obtienes datos. | task1232_ted_translation_ar_es | NIv2 | fs_opt | 5 | test |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
(تصفير) ♫ قال لي واعظي ♫ ♫ لا يجب عليك أن تقلقي ♫ ♫ لأن العلماء مخطئون ♫ ♫ إذاً ، من يأبه إذا كان الوقت شتاء هنا ؟ ♫ ♫ مادمت أرتدي صديريتي الصيفية ♫ ♫ أرتدي صديريتي الصيفية ♫ ♫ كل شخص بالخارج ، خلال مانهاتن السعيدة في يناي... | (Silbando) ♫ MI predicador dijo, ♫ ♫ No te preocupes ♫ ♫ Los científicos están muy equivocados ♫ ♫ Entonces, ¿a quién le importa aquí sea invierno? ♫ Y tengo puesto mi vestido de cuello halter ♫ ♫ Tengo puesto mi vestido de cuello halter ♫ Todo el mundo salió en el feliz Manhattan en enero (Aplausos) Chris Anderson: ¡J... | task1232_ted_translation_ar_es | NIv2 | zs_opt | 7 | validation |
Teacher:In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Teacher: Now, understand the problem? Solve this instance: We used the Twitter API to gather real-time tweets from September 2018 until February 2019... | Twitter API | task460_qasper_answer_generation | NIv2 | zs_opt | 6 | train |
Instructions: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Input: The text and image encodings were combined by concatenation, which resulted in a feature vector of 4,864 dimensions. This multimodal rep... | Yes | task460_qasper_answer_generation | NIv2 | zs_opt | 3 | train |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Stanford - Twitter Sentiment Corpus (STS Corpus): STS Corpus contains 1,600K training tweets collected by a crawler from BIBREF0 . BIBREF0 constructed a tes... | annotators are asked how attractive the headlines are Likert scale from 1 to 10 (integer values)
| task460_qasper_answer_generation | NIv2 | fs_opt | 0 | train |
Instructions: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Input: Our experiments are run using the English$\rightarrow $Italian/German portions of the MuST-C corpus BIBREF25, which is extracted from TE... | English$\rightarrow $Italian/German portions of the MuST-C corpus As additional data, we use a mix of public and proprietary data for about 16 million sentence pairs for English-Italian (En-It) and $4.4$ million WMT14 sentence pairs for the English-German (En-De) | task460_qasper_answer_generation | NIv2 | zs_opt | 3 | train |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Input: Consider Input: In its general form, a type-logical grammar consists of following components:
Question: Does Grail accept Prolog inputs?
Output: N... | Output: we extract sentences from Wikipedia in languages for which public multilingual is pretrained. For each sentence, we use the open-source BERT wordpiece tokenizer BIBREF4 , BIBREF1 and compute cross-entropy loss for each wordpiece: INLINEFORM0
| task460_qasper_answer_generation | NIv2 | fs_opt | 2 | train |
Detailed Instructions: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
See one example below:
Problem: We evaluate the proposed approach on the Chinese social media text summarization task, based on the se... | By assessing similarity of 360 pairs of relations from a subset of Wikidata using an integer similarity score from 0 to 4 | task460_qasper_answer_generation | NIv2 | fs_opt | 4 | train |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Example: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequence model. Large-Scale Chinese ... | Solution: WIT3's corpus | task460_qasper_answer_generation | NIv2 | fs_opt | 5 | train |
instruction:
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
question:
Several recent works have investigated jointly training the acoustic model with a masking speech enhancement model BIBREF11, BIBREF12,... | NER model CRF classifier trained with sklearn-crfsuite classifier has been developed that consists of regular-expressions and dictionary look-up
| task460_qasper_answer_generation | NIv2 | fs_opt | 9 | train |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Given the full text of a scientific publication, we want to rank its citations according to the author's judgments. We collected recent publications from th... | asked the authors to rank by closeness five citations we selected from their paper | task460_qasper_answer_generation | NIv2 | zs_opt | 0 | test |
Teacher:In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Teacher: Now, understand the problem? Solve this instance: As this corpus of annotated patient notes comprises original healthcare data which contain... | No | task460_qasper_answer_generation | NIv2 | zs_opt | 6 | validation |
Given the task definition and input, reply with output. In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every... | each millisecond. | task016_mctaco_answer_generation_frequency | NIv2 | zs_opt | 5 | train |
In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Note that a lot of the questions... | always. | task016_mctaco_answer_generation_frequency | NIv2 | zs_opt | 0 | train |
Definition: In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Note that a lot of t... | every four years. | task016_mctaco_answer_generation_frequency | NIv2 | zs_opt | 2 | train |
In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Note that a lot of the questions... | every year.
| task016_mctaco_answer_generation_frequency | NIv2 | fs_opt | 0 | train |
Given the task definition, example input & output, solve the new input case.
In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" ... | once. | task016_mctaco_answer_generation_frequency | NIv2 | fs_opt | 1 | train |
In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Note that a lot of the questions... | several times.
| task016_mctaco_answer_generation_frequency | NIv2 | fs_opt | 1 | train |
Definition: In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Note that a lot of t... | every night. | task016_mctaco_answer_generation_frequency | NIv2 | zs_opt | 2 | train |
Teacher:In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Note that a lot of the q... | they go to work 5 days a week. | task016_mctaco_answer_generation_frequency | NIv2 | zs_opt | 6 | train |
In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Note that a lot of the questions... | once.
| task016_mctaco_answer_generation_frequency | NIv2 | fs_opt | 0 | test |
Teacher: In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Note that a lot of the ... | every day. | task016_mctaco_answer_generation_frequency | NIv2 | fs_opt | 2 | validation |
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