Store embeddings and log during run
Browse files
parse.py
CHANGED
@@ -1,6 +1,9 @@
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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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def get_refs(root):
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@@ -17,10 +20,7 @@ def get_refs(root):
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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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This will
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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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# Start with the root text prior to the first node
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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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# Remove empty parens from removed references
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text = re.sub(r"\([\n\t; ]*\)", " ", text)
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# Combine whitespace to single space
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# text = re.sub(r"[\n\t ]+", " ", text)
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def get_paras():
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paras = []
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from pathlib import Path
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@@ -53,7 +52,6 @@ def get_paras():
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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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root = tree.getroot()
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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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if
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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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# Combine elipses
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text = re.sub(r"\.\.\.+", "...", text)
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refs = get_refs(p)
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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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"
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}
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from datasets import Dataset
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import re
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import os
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import json
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import xml.etree.ElementTree as ET
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from languagemodels.embeddings import embed
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from time import perf_counter
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def get_refs(root):
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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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This will remove all notes, footnotes, and references
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"""
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# Start with the root text prior to the first node
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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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return text
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log = open("log.txt", "w")
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jsonl = open("train.jsonl", "w")
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count = 0
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def get_paras():
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global count
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paras = []
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from pathlib import Path
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filename = str(filename)
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if "authInfo." in filename:
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continue
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try:
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tree = ET.parse(filename)
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except:
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root = tree.getroot()
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for i, p in enumerate(root.findall(".//p")):
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xml = ET.tostring(p, encoding="unicode")
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text = get_text_content(p)
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if "id" in p.attrib:
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start = perf_counter()
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refs = get_refs(p)
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emb = list(float(n) for n in embed([text])[0])
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count += 1
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row = {
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"id": filename + ":" + p.attrib["id"],
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"text": text,
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"thml": xml,
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"refs": refs,
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"all-MiniLM-L6-v2": emb,
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}
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print(
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count,
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f"{perf_counter()-start:.2f}",
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len(row["text"]),
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len(row["thml"]),
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row["id"],
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row["all-MiniLM-L6-v2"][:2],
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file=log,
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flush=True,
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)
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print(json.dumps(row), file=jsonl, flush=True)
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yield row
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from datasets import Dataset
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