Lots-of-LoRAs/task1168_brown_coarse_pos_tagging huggingface dataset:
Definition: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces  ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is - 
 '.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc., 
 'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes, 
 'ADP': Adposition is a cover term for prepositions and postpositions, 
 'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner, 
 'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause, 
 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 
 'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea, 
 'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction, 
 'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech, 
 'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context, 
 'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object, 
 'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause, 
 'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.

Positive Example 1 -
Input: Sentence: `` Then I return to the United States for engagements at the Hollywood Bowl and in Philadelphia '' , he added {{ . }} 
Word: .
Output: .

Positive Example 2 -
Input: Sentence: Even if gymnastics are not the ultimate goal , the good tumbler will be a {{ better }} dancer , a better athlete , and a human being with a greater margin of safety in any activity . 
Word: better
Output: ADJ

Negative Example 1 -
Input: Sentence: In another four weeks , with schools closed across the nation , the great {{ all-American }} summer safari will be under way . 
Word: all-American
Output: VERB

Now complete the following example -
Input: Sentence: On the very day that the parliamentary session began , another `` Infamous Libel {{ '' }} appeared , entitled A Letter From The Facetious Dr. Andrew Tripe , At Bath , To The Venerable Nestor Ironside . 
Word: ''
Output: 


Answer: .
Definition: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces  ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is - 
 '.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc., 
 'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes, 
 'ADP': Adposition is a cover term for prepositions and postpositions, 
 'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner, 
 'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause, 
 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 
 'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea, 
 'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction, 
 'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech, 
 'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context, 
 'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object, 
 'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause, 
 'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.

Positive Example 1 -
Input: Sentence: `` Then I return to the United States for engagements at the Hollywood Bowl and in Philadelphia '' , he added {{ . }} 
Word: .
Output: .

Positive Example 2 -
Input: Sentence: Even if gymnastics are not the ultimate goal , the good tumbler will be a {{ better }} dancer , a better athlete , and a human being with a greater margin of safety in any activity . 
Word: better
Output: ADJ

Negative Example 1 -
Input: Sentence: In another four weeks , with schools closed across the nation , the great {{ all-American }} summer safari will be under way . 
Word: all-American
Output: VERB

Now complete the following example -
Input: Sentence: There are , so my biologist friends {{ tell }} me , mechanisms of adaptation and defense that are just too complete and too satisfactory . 
Word: tell
Output: 


Answer: VERB
Definition: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces  ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is - 
 '.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc., 
 'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes, 
 'ADP': Adposition is a cover term for prepositions and postpositions, 
 'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner, 
 'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause, 
 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 
 'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea, 
 'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction, 
 'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech, 
 'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context, 
 'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object, 
 'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause, 
 'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.

Positive Example 1 -
Input: Sentence: `` Then I return to the United States for engagements at the Hollywood Bowl and in Philadelphia '' , he added {{ . }} 
Word: .
Output: .

Positive Example 2 -
Input: Sentence: Even if gymnastics are not the ultimate goal , the good tumbler will be a {{ better }} dancer , a better athlete , and a human being with a greater margin of safety in any activity . 
Word: better
Output: ADJ

Negative Example 1 -
Input: Sentence: In another four weeks , with schools closed across the nation , the great {{ all-American }} summer safari will be under way . 
Word: all-American
Output: VERB

Now complete the following example -
Input: Sentence: under the circumstances I was only too willing to confess all {{ . }} 
Word: .
Output: 


Answer: .