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In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True | task1187_politifact_classification | NIv2 | fs_opt | 9 | train |
Definition: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the... | False | task1187_politifact_classification | NIv2 | zs_opt | 2 | train |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | Solution: False | task1187_politifact_classification | NIv2 | fs_opt | 5 | train |
Part 1. Definition
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if i... | True | task1187_politifact_classification | NIv2 | fs_opt | 7 | train |
Q: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct ... | False | task1187_politifact_classification | NIv2 | zs_opt | 7 | train |
Teacher:In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the cor... | True | task1187_politifact_classification | NIv2 | zs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. ... | True | task1187_politifact_classification | NIv2 | zs_opt | 1 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. ... | False | task1187_politifact_classification | NIv2 | fs_opt | 1 | train |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | False | task1187_politifact_classification | NIv2 | fs_opt | 6 | test |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True
| task1187_politifact_classification | NIv2 | fs_opt | 6 | validation |
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations an... | If there are piles of pillows that are not stacked neatly. | task184_break_generate_question | NIv2 | zs_opt | 8 | train |
Q: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in... | How many other matte material cylinder shaped objects are the same size as the green one? | task184_break_generate_question | NIv2 | zs_opt | 7 | train |
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations an... | In what month did the Burmese king die? | task184_break_generate_question | NIv2 | zs_opt | 8 | train |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | If there are at least three phones side by side in one of the pictures.
| task184_break_generate_question | NIv2 | fs_opt | 0 | train |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | Are there more cubes than big objects? | task184_break_generate_question | NIv2 | fs_opt | 3 | train |
Teacher:In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appe... | Are all the objects about the same size? | task184_break_generate_question | NIv2 | zs_opt | 6 | train |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | is the smallestt object made from the same material as the largest object? | task184_break_generate_question | NIv2 | zs_opt | 0 | train |
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations an... | How many cylinders are matte? | task184_break_generate_question | NIv2 | zs_opt | 8 | train |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | Solution: what shape is the large red cylinder blocking that is not metallic? | task184_break_generate_question | NIv2 | fs_opt | 5 | test |
Teacher:In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appe... | How many more, in percentage, of males were literate compared to females? | task184_break_generate_question | NIv2 | zs_opt | 6 | validation |
Detailed Instructions: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of ... | Response 2 | task362_spolin_yesand_prompt_response_sub_classification | NIv2 | zs_opt | 9 | train |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 1 | task362_spolin_yesand_prompt_response_sub_classification | NIv2 | fs_opt | 6 | train |
Definition: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and".... | Response 2 | task362_spolin_yesand_prompt_response_sub_classification | NIv2 | zs_opt | 2 | train |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Solution: Response 2 | task362_spolin_yesand_prompt_response_sub_classification | NIv2 | fs_opt | 5 | train |
Detailed Instructions: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of ... | Response 1 | task362_spolin_yesand_prompt_response_sub_classification | NIv2 | zs_opt | 8 | train |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 2 | task362_spolin_yesand_prompt_response_sub_classification | NIv2 | zs_opt | 0 | train |
Given the task definition and input, reply with output. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identi... | Response 2 | task362_spolin_yesand_prompt_response_sub_classification | NIv2 | zs_opt | 5 | train |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 2 | task362_spolin_yesand_prompt_response_sub_classification | NIv2 | zs_opt | 4 | train |
Definition: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and".... | Response 1 | task362_spolin_yesand_prompt_response_sub_classification | NIv2 | zs_opt | 2 | test |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 1 | task362_spolin_yesand_prompt_response_sub_classification | NIv2 | fs_opt | 6 | validation |
Instructions: In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the... | The lovers scratched their names into the bark of the tree. | task628_xlwic_word_with_different_meaning_sentence_generation | NIv2 | zs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the ... | I made many mistakes in my youth, but learned from them all. | task628_xlwic_word_with_different_meaning_sentence_generation | NIv2 | zs_opt | 1 | train |
In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however... | The perfect setting for a ghost story. | task628_xlwic_word_with_different_meaning_sentence_generation | NIv2 | fs_opt | 6 | train |
Teacher:In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb;... | She applied the paint in careful strokes. | task628_xlwic_word_with_different_meaning_sentence_generation | NIv2 | zs_opt | 6 | train |
Detailed Instructions: In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fl... | The guard delivered the criminal to the police. | task628_xlwic_word_with_different_meaning_sentence_generation | NIv2 | zs_opt | 9 | train |
In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb; however... | The salesman pounded the door knocker.
| task628_xlwic_word_with_different_meaning_sentence_generation | NIv2 | fs_opt | 1 | train |
Detailed Instructions: In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fl... | I regret that I have to do this, but I don't have a choice. | task628_xlwic_word_with_different_meaning_sentence_generation | NIv2 | zs_opt | 9 | train |
Definition: In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the v... | We must walk with our dispossessed brothers and sisters. | task628_xlwic_word_with_different_meaning_sentence_generation | NIv2 | zs_opt | 2 | train |
Teacher:In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' as the verb;... | Imagine my surprise on learning I owed twice as much as I thought I did. | task628_xlwic_word_with_different_meaning_sentence_generation | NIv2 | zs_opt | 6 | test |
Part 1. Definition
In this task, you are given a word, followed by a sentence. You should respond with a valid sentence which contains the word used with a different meaning than in the given sentence. For example, if the given sentence refers to a 'fly' as the insect, you may respond with a sentence which uses 'fly' a... | The images flooded his mind. | task628_xlwic_word_with_different_meaning_sentence_generation | NIv2 | fs_opt | 7 | validation |
Detailed Instructions: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Problem:পিকচার এর সাথে পিজা র কোনো মিল নাই..বাজে একদম.. চেজে তো খুঁজতে হয় পিজা তে...
Solution: | negative | task1496_bengali_reviews_sentiment_classification | NIv2 | zs_opt | 8 | train |
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
--------
Question: আপনি কি মনে করেন যে কখনও মন দিয়ে কারো সঙ্গে কোন কথোপকথন করতে পারেন।
Answer: negative
Question: সর্বোত্তম সেবা
Answer: po... | positive
| task1496_bengali_reviews_sentiment_classification | NIv2 | fs_opt | 7 | 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 reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
এই জায়গা চমৎকার পরিবে... | positive | task1496_bengali_reviews_sentiment_classification | NIv2 | fs_opt | 0 | train |
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
One example is below.
Q: এই জায়গা চমৎকার পরিবেশ ভালবাসা এবং আমার পছন্দের কিছু পেয়েছিলাম তাই এই আমার সবচেয়ে প্রস্তাবিত রেস্টুরেন্টে হচ্ছে
A: p... | negative | task1496_bengali_reviews_sentiment_classification | NIv2 | fs_opt | 9 | train |
Q: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
খাদ্য মানের তাদের প্রাইস.ÔøΩ আপনার খাদ্য মানের আপগ্রেড হিসাবে ভাল হয় না firstÔøΩ
A: | negative | task1496_bengali_reviews_sentiment_classification | NIv2 | zs_opt | 7 | train |
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
[EX Q]: সার্ভিস ভালো ছিল না। কফি কোয়ালিটির খুব খারাপ
[EX A]: negative
[EX Q]: আমি তাদের সেবা চাই। They,Äôre খুব ভদ্র।
[EX A]: negative
[EX Q... | positive
| task1496_bengali_reviews_sentiment_classification | NIv2 | fs_opt | 6 | train |
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
--------
Question: অন্য থাই রেস্তোরাঁতে অনুরূপ তুলনায় কিভাবে একটি নির্দিষ্ট ডিশ প্রস্তুত করা হয় তার সম্পর্কে জিজ্ঞাসা করা হলে তিনি বলেন, এটি ম... | positive
| task1496_bengali_reviews_sentiment_classification | NIv2 | fs_opt | 7 | train |
Given the task definition and input, reply with output. In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
আমি তাদের খাবার পছন্দ করতাম, কিন্তু সম্প্রতি তারা খুব খারাপ অবনতি হয়েছে। মুরগি আগের রা... | negative | task1496_bengali_reviews_sentiment_classification | NIv2 | zs_opt | 5 | train |
Instructions: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Input: খাদ্যের স্বাদ এবং মূল্য দুইটাই তেমন ভাল ছিলনা ... এই ধরনের খাবারের দাম কম হওয়ার কথা কিন্তু তারা দাম অনেক বেশী রাখছে । দুঃখ... | negative | task1496_bengali_reviews_sentiment_classification | NIv2 | zs_opt | 3 | test |
In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
[EX Q]: গ্রেট খাবার, বিশেষ করে BBQ (ললিপপ) চিকেন, প্রত্যেকেরই যাওয়া এবং স্বাদ নেয়া উচিত।
[EX A]: positive
[EX Q]: বার্গার ও ভাজাভুজির জন্য খুব... | positive
| task1496_bengali_reviews_sentiment_classification | NIv2 | fs_opt | 6 | validation |
Teacher:In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Teacher: Now, understand the p... | where is drake going to come? | task240_tweetqa_question_generation | NIv2 | zs_opt | 6 | train |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: Excited to play #Zordon i... | what happened at the game that was surprising?
****
| task240_tweetqa_question_generation | NIv2 | fs_opt | 4 | train |
Definition: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Input: Context: Vogue Indi... | which celebrity does harnidh kaur think should represent this celebration? | task240_tweetqa_question_generation | NIv2 | zs_opt | 2 | train |
Teacher:In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Teacher: Now, understand the p... | which cover got pulled? | task240_tweetqa_question_generation | NIv2 | zs_opt | 6 | train |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: It's been one year since ... | what report is recommended to be published
****
| task240_tweetqa_question_generation | NIv2 | fs_opt | 4 | train |
Part 1. Definition
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Part 2. Example
Con... | what state is referenced? | task240_tweetqa_question_generation | NIv2 | fs_opt | 7 | train |
TASK DEFINITION: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
PROBLEM: Context: A7:... | what do the girls own
| task240_tweetqa_question_generation | NIv2 | fs_opt | 8 | train |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: #iwishmyteacherknew that ... | what did shane west say the film is gonna be?
****
| task240_tweetqa_question_generation | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
See one example... | why does k t bradford want to change his profile picture? | task240_tweetqa_question_generation | NIv2 | fs_opt | 4 | test |
instruction:
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
question:
Context: Michae... | apples cannot be compared with what other fruit?
| task240_tweetqa_question_generation | NIv2 | fs_opt | 9 | 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.
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nin... | socioeconomic | task317_crows_pairs_classification_stereotype_type | NIv2 | fs_opt | 0 | train |
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearanc... | race-color | task317_crows_pairs_classification_stereotype_type | NIv2 | fs_opt | 6 | train |
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearanc... | sexual-orientation
| task317_crows_pairs_classification_stereotype_type | NIv2 | fs_opt | 3 | train |
Instructions: In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, phys... | race-color | task317_crows_pairs_classification_stereotype_type | NIv2 | zs_opt | 3 | train |
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearanc... | physical-appearance | task317_crows_pairs_classification_stereotype_type | NIv2 | zs_opt | 4 | train |
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearanc... | religion | task317_crows_pairs_classification_stereotype_type | NIv2 | fs_opt | 9 | train |
Part 1. Definition
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation,... | age | task317_crows_pairs_classification_stereotype_type | NIv2 | fs_opt | 7 | train |
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearanc... | age
| task317_crows_pairs_classification_stereotype_type | NIv2 | fs_opt | 6 | train |
instruction:
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physi... | race-color
| task317_crows_pairs_classification_stereotype_type | NIv2 | fs_opt | 9 | test |
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearanc... | sexual-orientation | task317_crows_pairs_classification_stereotype_type | NIv2 | zs_opt | 4 | validation |
You will be given a definition of a task first, then some input of the task.
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't r... | Human | task856_conv_ai_2_classification | NIv2 | zs_opt | 1 | train |
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural... | Bot
| task856_conv_ai_2_classification | NIv2 | fs_opt | 6 | train |
Given the task definition and input, reply with output. Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, ... | Human | task856_conv_ai_2_classification | NIv2 | zs_opt | 5 | 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.
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of spe... | Human | task856_conv_ai_2_classification | NIv2 | fs_opt | 0 | train |
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural... | Bot | task856_conv_ai_2_classification | NIv2 | zs_opt | 4 | train |
Detailed Instructions: Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or oth... | Human | task856_conv_ai_2_classification | NIv2 | zs_opt | 8 | train |
Detailed Instructions: Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or oth... | Bot | task856_conv_ai_2_classification | NIv2 | zs_opt | 9 | train |
Teacher:Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear u... | Bot | task856_conv_ai_2_classification | NIv2 | zs_opt | 6 | train |
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural... | Human
| task856_conv_ai_2_classification | NIv2 | fs_opt | 0 | test |
Read the given message of a sender that is intended to start a conversation, and determine whether it was written by a 'Bot' or by a 'Human'. Typically, bots will have a more disjointed manner of speaking, and will make statements that don't relate to each other, don't make coherent sense, or otherwise appear unnatural... | Bot | task856_conv_ai_2_classification | NIv2 | zs_opt | 4 | validation |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
No dia seguinte, pus-me de novo em posição observação e vi a matriarca quebrar um galho de árvore colocá-lo na boca, quebrar outro e deixá-l... | في اليوم الموالي ، رأيت الفيلة الأم وهي تقطع غصنا فكانت تضعه في فمها ، ثم تكسر غصنا آخرا ، وتضعه على الأرض. | task1277_ted_translation_pt_ar | NIv2 | zs_opt | 1 | train |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
54 cêntimos por milha, o que é isso?
| اذا 54 سنتا للميل ، ما هذا ؟ | task1277_ted_translation_pt_ar | NIv2 | zs_opt | 5 | train |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Example Input: "" Ou, se o é numa família, porque não num Estado?
Example Output: أو إذا كانت العائلة, إذن لماذا ليست الولاية ؟
Example Input: Não sabemos.
Example Output: لا نعرفها.
Example Input: Porque é que algu... | لماذا يذهبُ الاشخاص مع مسألة مناقشة الأجور ، بينما يثور البعض الآخر ضدها ؟
| task1277_ted_translation_pt_ar | NIv2 | fs_opt | 3 | train |
Part 1. Definition
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Part 2. Example
Mas o que são direitos humanos?
Answer: ولكن ماهي حقوق الإنسان ؟
Explanation: The Portugese sentence is correctly translated into Arabic, because the meaning is preserved.
Part 3. Exe... | ولكن للأسف ، لم يُسمح لها أن تأتي اليوم نظراً لحالتها الصحية. | task1277_ted_translation_pt_ar | NIv2 | fs_opt | 7 | train |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Mas isto não significa que não possamos dar uma resposta ponderada.
| لكن هذا لا يعني أننا ما زلنا غير قادرين على إعطائهم رداً معتبراً. | task1277_ted_translation_pt_ar | NIv2 | zs_opt | 5 | train |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Q: O Starbucks faz-vos acordar, nós fazemos-vos ficar acordados e vivos.
A: | ان ستاربكس تبقيك يقظاً بكافينها.. ولكن نحن نبقيك متيقظاً وعلى قيد الحياة | task1277_ted_translation_pt_ar | NIv2 | zs_opt | 9 | train |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Example Input: Há cinco meses é o que nós estamos a fazer, eu, a Michal, alguns dos meus amigos, estamos apenas a fazer imagens.
Example Output: خمسة أشهر الآن ، وذلك ما نفعله ، أنا وميشيل وبعض الأصدقاء نقوم بعمل الصو... | تم تطوير ميكانيكا الكم في العشرينيات.
| task1277_ted_translation_pt_ar | NIv2 | fs_opt | 3 | train |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Input: Consider Input: Então estamos a aplicar estes pilotos de aprendizagem combinada num número de universidades e escolas secundárias em todo o mundo, desde Tsinghua, na China à Universidade Nacional da Mongolia, n... | Output: إنه ليس هناك ليريك واقع الحاسوب
| task1277_ted_translation_pt_ar | NIv2 | fs_opt | 2 | train |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Outro dispositivo é a SpeedStrip. | جهاز آخر يسمى قطاع السرعة. | task1277_ted_translation_pt_ar | NIv2 | zs_opt | 0 | test |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Let me give you an example: Mas o que são direitos humanos?
The answer to this example can be: ولكن ماهي حقوق الإنسان ؟
Here is why: The Portugese sentence is correctly translated into Arabic, because the meaning is p... | ويحاول هذا الرسم البياني الربط بين ما تعرفونه عن أمر ما وحجم المعرفة التي لديكم عن ذلك الأمر. | task1277_ted_translation_pt_ar | NIv2 | fs_opt | 8 | validation |
Q: The provided file includes inquiries about restaurants in Turkish, 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 ... | find " mod pizza " for me . | task259_spl_translation_tr_en | NIv2 | zs_opt | 7 | train |
Detailed Instructions: The provided file includes inquiries about restaurants in Turkish, 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. W... | show me all reviews written by " paul " on date_0 . | task259_spl_translation_tr_en | NIv2 | zs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
The provided file includes inquiries about restaurants in Turkish, 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 writte... | show me restaurants in the " west suburbs " please . | task259_spl_translation_tr_en | NIv2 | zs_opt | 1 | train |
Definition: The provided file includes inquiries about restaurants in Turkish, 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*... | are there any " mexican " restaurants with more than 8 reviews ? | task259_spl_translation_tr_en | NIv2 | zs_opt | 2 | train |
The provided file includes inquiries about restaurants in Turkish, 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 all ratings made by " mr gucci loafers "
| task259_spl_translation_tr_en | NIv2 | fs_opt | 0 | train |
Teacher:The provided file includes inquiries about restaurants in Turkish, 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* loo... | i would like a " mexican " restaurant . | task259_spl_translation_tr_en | NIv2 | zs_opt | 6 | train |
The provided file includes inquiries about restaurants in Turkish, 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 2 star ratings within 8 miles . | task259_spl_translation_tr_en | NIv2 | zs_opt | 0 | train |
instruction:
The provided file includes inquiries about restaurants in Turkish, 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 " thai " restaurants .
| task259_spl_translation_tr_en | NIv2 | fs_opt | 9 | train |
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants in Turkish, 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 writte... | what is the phone number for the nearest " wendy 's " ? | task259_spl_translation_tr_en | NIv2 | fs_opt | 1 | test |
The provided file includes inquiries about restaurants in Turkish, 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... | search for " japanese " restaurants with at least 5 stars . | task259_spl_translation_tr_en | NIv2 | fs_opt | 9 | validation |
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