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Upload parse.py

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  1. parse.py +89 -0
parse.py ADDED
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+ import re
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+ import os
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+ import xml.etree.ElementTree as ET
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+
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+ def get_refs(root):
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+ refs = []
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+
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+ for child in root:
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+ if child.tag == 'scripRef':
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+ if 'osisRef' in child.attrib:
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+ refs.append(child.attrib['osisRef'])
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+
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+ return refs
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+
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+ def get_text_content(root, strip_ref=False):
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+ """ Return the plain text content of a node
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+
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+ This will:
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+
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+ 1. Remove all notes, footnotes, and references
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+ 2. Remove all newlines and combine whitespace to single spaces
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+ """
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+
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+ # Start with the root text prior to the first node
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+ text = root.text or ""
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+
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+ for child in root:
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+ if child.text:
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+ if child.tag != 'scripRef' or not strip_ref:
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+ text += child.text
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+ if child.tail:
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+ # Add the root node text between this child and the next child
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+ text += child.tail
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+
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+ if strip_ref:
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+ # Remove empty parens from removed references
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+ text = re.sub(r"\([\n\t; ]*\)", " ", text)
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+
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+ # Combine whitespace to single space
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+ # text = re.sub(r"[\n\t ]+", " ", text)
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+
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+ return text
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+
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+ def get_paras():
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+ paras = []
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+
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+ from pathlib import Path
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+ for filename in list(Path(".").rglob("*.xml")):
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+ filename = str(filename)
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+ if "authInfo." in filename:
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+ continue
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+ print(filename)
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+ try:
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+ tree = ET.parse(filename)
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+ except:
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+ print("ERROR: Unable to parse:", filename)
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+ continue
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+
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+ root = tree.getroot()
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+
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+ #for i, p in enumerate(root.findall(".//p[scripRef]")):
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+ for i, p in enumerate(root.findall(".//p")):
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+ text = get_text_content(p)
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+
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+ if False:
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+ text = re.sub(r'".*?"', '...', text, flags=re.M|re.DOTALL)
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+ text = re.sub(r'“.*?”', '...', text, flags=re.M|re.DOTALL)
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+
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+ # Remove spaces before punctuation
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+ text = re.sub(r"[\t\n ]\.", ".", text)
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+ text = re.sub(r"[\t\n ],", ",", text)
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+
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+ # Combine elipses
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+ text = re.sub(r"\.\.\.+", "...", text)
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+
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+ refs = get_refs(p)
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+
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+ if len(text) > 160 and 'id' in p.attrib:
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+ yield {
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+ "id": filename + ":" + p.attrib['id'],
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+ "refs": refs,
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+ "text": text,
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+ "text-noref": get_text_content(p, strip_ref=True)
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+ }
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+
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+ from datasets import Dataset
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+
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+ ds = Dataset.from_generator(get_paras)
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+ ds.push_to_hub("jncraton/ccel-paragraphs")