mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-22 11:59:14 +03:00
37c7c85a86
* Support nowrap setting in util.prints * Tidy up and fix whitespace * Simplify script and use read_jsonl helper * Add JSON schemas (see #2928) * Deprecate Doc.print_tree Will be replaced with Doc.to_json, which will produce a unified format * Add Doc.to_json() method (see #2928) Converts Doc objects to JSON using the same unified format as the training data. Method also supports serializing selected custom attributes in the doc._. space. * Remove outdated test * Add write_json and write_jsonl helpers * WIP: Update spacy train * Tidy up spacy train * WIP: Use wasabi for formatting * Add GoldParse helpers for JSON format * WIP: add debug-data command * Fix typo * Add missing import * Update wasabi pin * Add missing import * 💫 Refactor CLI (#2943) To be merged into #2932. ## Description - [x] refactor CLI To use [`wasabi`](https://github.com/ines/wasabi) - [x] use [`black`](https://github.com/ambv/black) for auto-formatting - [x] add `flake8` config - [x] move all messy UD-related scripts to `cli.ud` - [x] make converters function that take the opened file and return the converted data (instead of having them handle the IO) ### Types of change enhancement ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information. * Update wasabi pin * Delete old test * Update errors * Fix typo * Tidy up and format remaining code * Fix formatting * Improve formatting of messages * Auto-format remaining code * Add tok2vec stuff to spacy.train * Fix typo * Update wasabi pin * Fix path checks for when train() is called as function * Reformat and tidy up pretrain script * Update argument annotations * Raise error if model language doesn't match lang * Document new train command
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
# coding: utf8
|
|
from __future__ import unicode_literals
|
|
|
|
from ...gold import iob_to_biluo
|
|
|
|
|
|
def conll_ner2json(input_data, **kwargs):
|
|
"""
|
|
Convert files in the CoNLL-2003 NER format into JSON format for use with
|
|
train cli.
|
|
"""
|
|
delimit_docs = "-DOCSTART- -X- O O"
|
|
output_docs = []
|
|
for doc in input_data.strip().split(delimit_docs):
|
|
doc = doc.strip()
|
|
if not doc:
|
|
continue
|
|
output_doc = []
|
|
for sent in doc.split("\n\n"):
|
|
sent = sent.strip()
|
|
if not sent:
|
|
continue
|
|
lines = [line.strip() for line in sent.split("\n") if line.strip()]
|
|
words, tags, chunks, iob_ents = zip(*[line.split() for line in lines])
|
|
biluo_ents = iob_to_biluo(iob_ents)
|
|
output_doc.append(
|
|
{
|
|
"tokens": [
|
|
{"orth": w, "tag": tag, "ner": ent}
|
|
for (w, tag, ent) in zip(words, tags, biluo_ents)
|
|
]
|
|
}
|
|
)
|
|
output_docs.append(
|
|
{"id": len(output_docs), "paragraphs": [{"sentences": output_doc}]}
|
|
)
|
|
output_doc = []
|
|
return output_docs
|