# Generated by utils.py
dataset_name: yor
doc_to_text: "Acting as a Yoruba 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\nYour 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. \n\nSentence: {{tokens}} \nOutput: "
include: masakhapos_yaml
task: masakhapos_yor_prompt_3
