# Generated by utils.py
dataset_name: tsn
doc_to_text: "Acting as a Setswana 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\n\
  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. \n\nSentence: {{tokens}} \nOutput: "
include: masakhapos_yaml
task: masakhapos_tsn_prompt_3
