BRAT and Standoff

??? abstract "TLDR"

```{ .python .no-check }
import edsnlp

stream = edsnlp.data.read_standoff(path)
stream = stream.map_pipeline(nlp)
res = stream.write_standoff(path)
# or equivalently
edsnlp.data.write_standoff(stream, path)
```

You can easily integrate BRAT into your project by using EDS-NLP's BRAT reader and writer.

BRAT annotations are in the standoff format. Consider the following document:

Le patient est admis pour une pneumopathie au coronavirus.
On lui prescrit du paracétamol.

Brat annotations are stored in a separate file formatted as follows:

T1  Patient 4 11    patient
T2  Disease 31 58   pneumopathie au coronavirus
T3  Drug 79 90  paracétamol

Reading Standoff files {: #edsnlp.data.standoff.read_standoff }

::: edsnlp.data.standoff.read_standoff
options:
heading_level: 3
show_source: false
show_toc: false
show_bases: false

Writing Standoff files {: #edsnlp.data.standoff.write_standoff }

::: edsnlp.data.standoff.write_standoff
options:
heading_level: 3
show_source: false
show_toc: false
show_bases: false