o 6ti@shddlZddlZddlZGdddZddZdededed dfd d Zdd d Ze dkr2edSdS)Nc@seZdZddZdS) FunctionTagcCs ||_dS)N)value)selfrr`/home/ubuntu/.local/lib/python3.10/site-packages/lm_eval/tasks/afrobench/masakhapos/gen_utils.py__init__s zFunctionTag.__init__N)__name__ __module__ __qualname__rrrrrrs rcCs.dd|d|dd|dddd }||S) NaPlease provide the POS tags for each word in the input sentence. The input will be a list of words in the sentence. The output format should be a list of tuples, where each tuple consists of a word from the input text and its corresponding POS tag label from the tag label set: ['ADJ', 'ADP', 'ADV', 'AUX', 'CCONJ, 'DET', 'INTJ', 'NOUN', 'NUM', 'PART', 'PRON', 'PROPN', 'PUNCT', 'SCONJ', 'SYM', 'VERB', 'X']. Your response should include only a list of tuples, in the order that the words appear in the input sentence, including punctuations, with each tuple containing the corresponding POS tag label for a word. Sentence: {{tokens}} Output: z4You are an expert in tagging words and sentences in zL with the right POS tag. Please provide the POS tags for each word in the aj sentence. The input is a list of words in the sentence. POS tag label set: ['ADJ', 'ADP', 'ADV', 'AUX', 'CCONJ, 'DET', 'INTJ', 'NOUN', 'NUM', 'PART', 'PRON', 'PROPN', 'PUNCT', 'SCONJ', 'SYM', 'VERB', 'X']. The output format should be a list of tuples, where each tuple consists of a word from the input text and its corresponding POS tag label from the POS tag label set provided Your response should include only a list of tuples, in the order that the words appear in the input sentence, including punctuations, with each tuple containing the corresponding POS tag label for a word. Sentence: {{tokens}} Output: z Acting as a a linguist and without making any corrections or changes to the text, perform a part of speech (POS) analysis of the sentences using the following POS tag label annotation ['ADJ', 'ADP', 'ADV', 'AUX', 'CCONJ, 'DET', 'INTJ', 'NOUN', 'NUM', 'PART', 'PRON', 'PROPN', 'PUNCT', 'SCONJ', 'SYM', 'VERB', 'X']. The input will be a list of words in the sentence. The output format should be a list of tuples, where each tuple consists of a word from the input text and its corresponding POS tag label from the POS tag label set provided Your response should include only a list of tuples, in the order that the words appear in the input sentence, including punctuations, with each tuple containing the corresponding POS tag label for a word. Sentence: {{tokens}} Output: aAnnotate each word in the provided sentence with the appropriate POS tag. The annotation list is given as: ['ADJ', 'ADP', 'ADV', 'AUX', 'CCONJ, 'DET', 'INTJ', 'NOUN', 'NUM', 'PART', 'PRON', 'PROPN', 'PUNCT', 'SCONJ', 'SYM', 'VERB', 'X']. The input sentence will be a list of words in the sentence. The output format should be a list of tuples, where each tuple consists of a word from the input text and its corresponding POS tag label from the POS tag label set provided Your response should include only a list of tuples, in the order that the words appear in the input sentence, including punctuations, with each tuple containing the corresponding POS tag label for a word. Sentence: {{tokens}} Output: aGiven the following sentence, identify the part of speech (POS) for each word. Use the following POS tag set: NOUN: Noun (person, place, thing), VERB: Verb (action, state), ADJ: Adjective (describes a noun), ADV: Adverb (modifies a verb, adjective, or adverb), PRON: Pronoun (replaces a noun), DET: Determiner (introduces a noun), ADP: Adposition (preposition or postposition), CCONJ: Conjunction (connects words, phrases, clauses) PUNCT: Punctuation, PROPN: Proper Noun, AUX: Auxiliary verb (helper verb), SCONJ: Subordinating conjunction PART: Particle, SYM: Symbol, INTJ: Interjection, NUM: Numeral, X: others. The output format should be a list of tuples, where each tuple consists of a word from the input text and its corresponding POS tag label key only from the POS tag set provided Your response should include only a list of tuples, in the order that the words appear in the input sentence, including punctuations, with each tuple containing the corresponding POS tag label for a word. Sentence: {{tokens}} Output: prompt_1prompt_2prompt_3prompt_4prompt_5r)modelang prompt_maprrr prompt_func s -r output_dir overwriterreturnc Cs|g}iddddddddd d d d d ddddddddddddddddddd d!d"d#d$d%d&}|D]j}zZd'|d(}d'|d)|}d*}|||t|||d+} tj|d,|d-d.t|d,|d,||rzd/nd0d1d2} | d3tj| | d-d4Wd5n1swYWqAty| |YqAwt |d6krtd7d8 |d5S)9z Generate a yaml file for each language. :param output_dir: The directory to output the files to. :param overwrite: Whether to overwrite files if they already exist. bamBambarabbjGhomalaeweEwefonFonhauHausaiboIgbokin KinyarwandalugLugandaluoDholuomosMossinyaChichewapcmzNigerian PidginsnachiShonaswa KiswahilitsnSetswanatwiTwiwolWolofisiXhosaYorubaisiZulu)xhoyorzul masakhapos_z.yaml_masakhapos_yaml)includetask dataset_name doc_to_text/T)exist_okwxutf8)encodingz# Generated by utils.py ) allow_unicodeNrzJFiles were not created because they already exist (use --overwrite flag): z, ) keysrosmakedirsopenwriteyamldumpFileExistsErrorappendlenjoin) rrrerr languagesr file_name task_name yaml_template yaml_detailsfrrrgen_lang_yamls=s            r_cCs`t}|jddddd|jdddd |jd d gd d d|}t|j|j|jddS)z9Parse CLI args and generate language-specific yaml files.z --overwriteT store_truez%Overwrite files if they already exist)defaultactionhelpz --output-dirz./z Directory to write yaml files to)rarcz--moder r z Prompt number)rachoicesrc)rrrN)argparseArgumentParser add_argument parse_argsr_rrr)parserargsrrrmain}s(rk__main__)rN) rerNrRrrstrboolr_rkrrrrrs1 @