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convert_kh-noviny.py

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+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})