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df541c6b5e
* Update processing-pipelines.md
Under "things to try," inform users they can save metadata when using nlp.pipe(foobar, as_tuples=True)
Link to a new example on the attributes page detailing the following:
> ```
> data = [
> ("Some text to process", {"meta": "foo"}),
> ("And more text...", {"meta": "bar"})
> ]
>
> for doc, context in nlp.pipe(data, as_tuples=True):
> # Let's assume you have a "meta" extension registered on the Doc
> doc._.meta = context["meta"]
> ```
from https://stackoverflow.com/questions/57058798/make-spacy-nlp-pipe-process-tuples-of-text-and-additional-information-to-add-as
* Updating the attributes section
Update the attributes section with example of how extensions can be used to store metadata.
* Update processing-pipelines.md
* Update processing-pipelines.md
Made as_tuples example executable and relocated to the end of the "Processing Text" section.
* Update processing-pipelines.md
* Update processing-pipelines.md
Removed extra line
* Reformat and rephrase
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
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|---|---|---|
| .. | ||
| 101 | ||
| _benchmarks-models.md | ||
| embeddings-transformers.md | ||
| facts-figures.md | ||
| index.md | ||
| layers-architectures.md | ||
| linguistic-features.md | ||
| models.md | ||
| processing-pipelines.md | ||
| projects.md | ||
| rule-based-matching.md | ||
| saving-loading.md | ||
| spacy-101.md | ||
| training.md | ||
| v2-1.md | ||
| v2-2.md | ||
| v2-3.md | ||
| v2.md | ||
| v3.md | ||
| visualizers.md | ||