spaCy/spacy/cli/converters/iob2json.py

57 lines
1.6 KiB
Python

# coding: utf8
from __future__ import unicode_literals
import re
from ...gold import iob_to_biluo
from ...util import minibatch
def iob2json(input_data, n_sents=10, *args, **kwargs):
"""
Convert IOB files into JSON format for use with train cli.
"""
sentences = read_iob(input_data.split("\n"))
docs = merge_sentences(sentences, n_sents)
return docs
def read_iob(raw_sents):
sentences = []
for line in raw_sents:
if not line.strip():
continue
tokens = [re.split("[^\w\-]", line.strip())]
if len(tokens[0]) == 3:
words, pos, iob = zip(*tokens)
elif len(tokens[0]) == 2:
words, iob = zip(*tokens)
pos = ["-"] * len(words)
else:
raise ValueError(
"The iob/iob2 file is not formatted correctly. Try checking whitespace and delimiters."
)
biluo = iob_to_biluo(iob)
sentences.append(
[
{"orth": w, "tag": p, "ner": ent}
for (w, p, ent) in zip(words, pos, biluo)
]
)
sentences = [{"tokens": sent} for sent in sentences]
paragraphs = [{"sentences": [sent]} for sent in sentences]
docs = [{"id": 0, "paragraphs": [para]} for para in paragraphs]
return docs
def merge_sentences(docs, n_sents):
merged = []
for group in minibatch(docs, size=n_sents):
group = list(group)
first = group.pop(0)
to_extend = first["paragraphs"][0]["sentences"]
for sent in group[1:]:
to_extend.extend(sent["paragraphs"][0]["sentences"])
merged.append(first)
return merged