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* 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 * Remove outdated test * Add write_json and write_jsonl helpers * WIP: Update spacy train * Tidy up spacy train * WIP: Use wasabi for formatting * Add GoldParse helpers for JSON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
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from __future__ import unicode_literals
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from ...gold import iob_to_biluo
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def conll_ner2json(input_data, **kwargs):
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"""
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Convert files in the CoNLL-2003 NER format into JSON format for use with
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train cli.
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"""
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delimit_docs = "-DOCSTART- -X- O O"
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output_docs = []
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for doc in input_data.strip().split(delimit_docs):
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doc = doc.strip()
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if not doc:
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continue
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output_doc = []
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for sent in doc.split("\n\n"):
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sent = sent.strip()
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if not sent:
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continue
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lines = [line.strip() for line in sent.split("\n") if line.strip()]
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words, tags, chunks, iob_ents = zip(*[line.split() for line in lines])
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biluo_ents = iob_to_biluo(iob_ents)
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output_doc.append(
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{
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"tokens": [
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{"orth": w, "tag": tag, "ner": ent}
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for (w, tag, ent) in zip(words, tags, biluo_ents)
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]
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}
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)
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output_docs.append(
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{"id": len(output_docs), "paragraphs": [{"sentences": output_doc}]}
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)
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output_doc = []
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return output_docs
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