File size: 3,447 Bytes
ebb16e0 46e758c 62c7aee 46e758c 62c7aee 46e758c 554bdd4 46e758c 554bdd4 46e758c 554bdd4 46e758c 554bdd4 46e758c 62c7aee 46e758c 554bdd4 46e758c 62c7aee 46e758c e07d4c1 46e758c 62c7aee 46e758c 554bdd4 46e758c 62c7aee 46e758c 554bdd4 46e758c 554bdd4 46e758c ae79a9c e07d4c1 ae79a9c e07d4c1 ae79a9c 46e758c 62c7aee 46e758c 62c7aee 46e758c 62c7aee 554bdd4 46e758c 62c7aee e07d4c1 ae79a9c e07d4c1 62c7aee 46e758c 62c7aee 554bdd4 46e758c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 |
""" 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
def get_field(root, field):
try:
text = root.find(f".//{field}").text
text = re.sub(r"\s+", " ", text)
except:
text = None
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()
# Skip content with copyright restrictions
# The copyright statements aren’t consistent.
# The ones that contain the text "public domain" (case insensitive)
# or nothing at all should be safe.
rights = get_field(root, "DC.Rights")
if rights and 'public domain' not in rights.lower():
print(f"Skipped {filename} due to copyright: {rights}", file=log, flush=True)
continue
title = get_field(root, "title")
published = get_field(root, "firstPublished")
author = get_field(root, "authorID")
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,
"author": author,
"title": title,
"rights": rights,
"published": published,
"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")
|