convert_kh-noviny.py

TARGET = ".data/kh-noviny.vert"

import os
import re
from typing import Dict

import jsonlines
from tqdm import tqdm


def process_vert_format(vert_content: str) -> Dict[str, str]:
    # Pattern to match document boundaries and extract metadata
    doc_pattern = re.compile(r'<doc[^>]*>.*?</doc>', re.DOTALL)
    metadata_pattern = re.compile(
        r'<doc r="([^"]*)"\s+m="([^"]*)"\s+d="([^"]*)"\s+t="([^"]*)"\s+c="([^"]*)"\s+h="([^"]*)"\s+a="([^"]*)">'
    )

    # Pattern to remove whitespace before punctuation
    ws_before_punct = re.compile(r'\s+([.,!?:;])')

    # Find all documents
    documents = re.findall(doc_pattern, vert_content)
    processed_documents = {}

    for doc_id, doc in tqdm(enumerate(documents)):
        # Extract metadata
        metadata_match = re.search(metadata_pattern, doc)
        if metadata_match:
            r = metadata_match.group(1)
            m = metadata_match.group(2)
            d = metadata_match.group(3)
            t = metadata_match.group(4)
            c = metadata_match.group(5)
            h = metadata_match.group(6)
            a = metadata_match.group(7)

            metadata_str = (f"{d} {m} {r}, "
                            f"Zdroj: {t}, "
                            f"Část: {c}, "
                            f"Titulek: {h}, "
                            f"Autor: {a}")

        else:
            raise ValueError("Metadata not found in document")

        # Initialize an empty list to hold processed document text

        # Find all speaker turns within the document
        # remove tags from each line, and join text
        tokens = [line.split("\t")[0].strip() for line in doc.split("\n") if line.strip() != ""]
        doc_text = " ".join(tokens)

        # remove any text with <...> tag
        doc_text = re.sub(r'<[^>]*>', '', doc_text)

        # replace more than one space with one space
        doc_text = re.sub(r'\s+', ' ', doc_text).strip()

        # remove whitespace before ., !, ?
        doc_text = re.sub(ws_before_punct, r'\1', doc_text)

        # - sometimes lines in oral are empty? e.g. 08A009N // REMOVE THESE LINES
        if doc_text.strip() == "":
            continue

        processed_documents[doc_id] = metadata_str + "\n" + doc_text

    return processed_documents


# Read the content from the file
with open(TARGET, "r") as f:
    vert_content = f.read()

# Process the content
processed_documents = process_vert_format(vert_content)

# write all splits into same json file in  .data/hf_dataset/cnc_fictree/test.jsonl
OF = ".data/hf_dataset/cnc_khnews/test.jsonl"
os.makedirs(os.path.dirname(OF), exist_ok=True)
with jsonlines.open(OF, "w") as writer:
    for doc_id, doc in list(processed_documents.items()):
        writer.write({"text": doc, "id": doc_id})