def get_sentence_data(filename) -> List[Dict[str, Any]]:
    """
    Parses a sentence file from the Flickr30K Entities dataset

    input:
      filename - full file path to the sentence file to parse

    output:
      a list of dictionaries for each sentence with the following fields:
          sentence - the original sentence
          phrases - a list of dictionaries for each phrase with the
                    following fields:
                      phrase - the text of the annotated phrase
                      first_word_index - the position of the first word of
                                         the phrase in the sentence
                      phrase_id - an identifier for this phrase
                      phrase_type - a list of the coarse categories this
                                    phrase belongs to

    """
    with open(filename, "r") as f:
        sentences = f.read().split("\n")

    annotations = []
    for sentence in sentences:
        if not sentence:
            continue

        first_word = []
        phrases = []
        phrase_id = []
        phrase_type = []
        words = []
        current_phrase = []
        add_to_phrase = False
        for token in sentence.split():
            if add_to_phrase:
                if token[-1] == "]":
                    add_to_phrase = False
                    token = token[:-1]
                    current_phrase.append(token)
                    phrases.append(" ".join(current_phrase))
                    current_phrase = []
                else:
                    current_phrase.append(token)

                words.append(token)
            else:
                if token[0] == "[":
                    add_to_phrase = True
                    first_word.append(len(words))
                    parts = token.split("/")
                    phrase_id.append(parts[1][3:])
                    phrase_type.append(parts[2:])
                else:
                    words.append(token)

        sentence_data = {"sentence": " ".join(words), "phrases": []}
        for index, phrase, p_id, p_type in zip(first_word, phrases, phrase_id, phrase_type):
            sentence_data["phrases"].append(
                {"first_word_index": index, "phrase": phrase, "phrase_id": p_id, "phrase_type": p_type}
            )

        annotations.append(sentence_data)

    return annotations

    Parses a sentence file from the Flickr30K Entities dataset

    input:
      filename - full file path to the sentence file to parse

    output:
      a list of dictionaries for each sentence with the following fields:
          sentence - the original sentence
          phrases - a list of dictionaries for each phrase with the
                    following fields:
                      phrase - the text of the annotated phrase
                      first_word_index - the position of the first word of
                                         the phrase in the sentence
                      phrase_id - an identifier for this phrase
                      phrase_type - a list of the coarse categories this
                                    phrase belongs to

    
kosmos-2/evaluation/flickr_entities/flickr_entities_evaluate.py