Datasets:
jblitzar
/
github-python-corpus

Dataset card Data Studio Files
xet
Community
text
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93.6k
)
def process_entity(text: str, lang: str, len_limit: int) -> str | None:
if re.search(r"https?:|www\.", text, re.IGNORECASE):
return None
text = re.sub(r"^\W+", "", text)
text = re.sub(r"\W+$", "", text)
if lang == "en":
# ignore chapter title(chapter 1) and page number reference(pp. 1-10)
if re.match(r"c?hapter|p{1,2}[\W\d]{2,}", text, re.IGNORECASE):
return None
text = re.sub(r"\W+[sd]$|\s+of$", "", text)
text = re.sub(r"^(?:the|an?)\s", "", text, flags=re.IGNORECASE)
text = re.sub(r"^\W+", "", text)
if text.lower() in DIRECTIONS:
return None
elif lang == "es":
# https://en.wikipedia.org/wiki/Spanish_determiners#Articles
text = re.sub(
r"^(?:el|los?|las?|un|unos?|unas?)\s", "", text, flags=re.IGNORECASE
)
text = re.sub(r"^\W+", "", text)
# TODO https://en.wikipedia.org/wiki/Article_(grammar)#Tables
if len(text) < len_limit or re.fullmatch(r"[\W\d]+", text):
return None
return text
def find_named_entity(
start: int,
x_ray: X_Ray | EPUB,
doc: Any,
mobi_codec: str,
lang: str,
escaped_text: str | None,
custom_x_ray: CustomXDict,
xhtml_path: Path | None = None,
end: int = 0,
) -> list[Interval]:
len_limit = 2 if lang in CJK_LANGS else 3
starts = set()
intervals = []
for ent in filter(lambda x: x.label_ in NER_LABELS, doc.ents):
text = (
ent.ent_id_ # customized X-Ray
if ent.ent_id_
else process_entity(ent.text, lang, len_limit)
)
if text is None or (ent.ent_id_ and custom_x_ray.get(ent.ent_id_).omit):
continue
ent_text = ent.text if ent.ent_id_ else text
if escaped_text is not None:
result = index_in_escaped_text(ent_text, escaped_text, ent.start_char)
if result is None:
continue
start_char, end_char = result
if start_char is None:
continue
elif not ent.ent_id_:
start_char = ent.start_char + ent.text.index(ent_text)
end_char = start_char + len(ent_text)
else:
start_char = ent.start_char
end_char = ent.end_char
book_text = escaped_text if escaped_text else doc.text
selectable_text = book_text[start_char:end_char]
if start_char in starts:
continue
else:
starts.add(start_char)
if isinstance(x_ray, EPUB):
x_ray.add_entity(
text,
ent.label_,
ent.sent.text.strip(),
start,
end,
start_char,
end_char,
xhtml_path,
)
intervals.append(Interval(start_char, end_char - 1))
continue
# Include the next punctuation so the word can be selected on Kindle
if re.match(r"[^\w\s]", book_text[end_char : end_char + 1]):
selectable_text = book_text[start_char : end_char + 1]
if mobi_codec is not None and escaped_text is not None:
ent_start = start + len(escaped_text[:start_char].encode(mobi_codec))
ent_len = len(selectable_text.encode(mobi_codec))
else:
ent_start = start + start_char
ent_len = len(selectable_text)