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""" Generates dataset from CCEL ThML files """
import re
import os
import json
import xml.etree.ElementTree as ET
from languagemodels.embeddings import embed
from time import perf_counter
def get_refs(root):
refs = []
for child in root:
if child.tag == "scripRef":
if "osisRef" in child.attrib:
refs.append(child.attrib["osisRef"])
return refs
def get_text_content(root, strip_ref=False):
"""Return the plain text content of a node
This will remove all notes, footnotes, and references
"""
# Start with the root text prior to the first node
text = root.text or ""
for child in root:
if child.text:
if child.tag != "scripRef" or not strip_ref:
text += child.text
if child.tail:
# Add the root node text between this child and the next child
text += child.tail
return text
log = open("log.txt", "w")
jsonl = open("train.jsonl", "w")
count = 0
def get_paras():
global count
paras = []
from pathlib import Path
for filename in list(Path(".").rglob("*.xml")):
filename = str(filename)
if "authInfo." in filename:
continue
try:
tree = ET.parse(filename)
except:
print("ERROR: Unable to parse:", filename)
continue
root = tree.getroot()
for i, p in enumerate(root.findall(".//p")):
xml = ET.tostring(p, encoding="unicode")
text = get_text_content(p)
if "id" in p.attrib:
start = perf_counter()
refs = get_refs(p)
emb = list(float(n) for n in embed([text])[0])
count += 1
row = {
"id": filename + ":" + p.attrib["id"],
"text": text,
"thml": xml,
"refs": refs,
"all-MiniLM-L6-v2": emb,
}
print(
count,
f"{perf_counter()-start:.2f}",
len(row["text"]),
len(row["thml"]),
row["id"],
row["all-MiniLM-L6-v2"][:2],
file=log,
flush=True,
)
print(json.dumps(row), file=jsonl, flush=True)
yield row
from datasets import Dataset
ds = Dataset.from_generator(get_paras)
ds.push_to_hub("jncraton/ccel-paragraphs")
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