Datasets:
from __future__ import annotations | |
import re | |
from dataclasses import dataclass | |
word_pattern = re.compile(r"\S+") | |
class WordSpan: | |
start_index: int | |
end_index: int # this is the letter after the end | |
def to_spans(text: str) -> list[WordSpan]: | |
return [ | |
WordSpan(start_index=match.start(), end_index=match.end()) | |
for match in word_pattern.finditer(text) | |
] | |
class CharacterIndices: | |
aspect_start_index: int | |
aspect_end_index: int | |
aspect_term: str | |
opinion_start_index: int | |
opinion_end_index: int | |
opinion_term: str | |
sentiment: str | |