Update docs for convert CLI and NER examples

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Adriane Boyd 2021-03-10 11:42:02 +01:00
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## Examples of NER/IOB data that can be converted with `spacy convert`
spacy JSON training files were generated with:
To convert an IOB file to `.spacy` ([`DocBin`](https://spacy.io/api/docbin))
for spaCy v3:
```bash
python -m spacy convert -c iob -s -n 10 -b en_core_web_sm file.iob .
```
See all the `spacy convert` options: https://spacy.io/api/cli#convert
---
The spaCy v2 JSON training files were generated using **spaCy v2** with:
```bash
python -m spacy convert -c iob -s -n 10 -b en file.iob
```
To convert an existing JSON training file to `.spacy` for spaCy v3, convert
with **spaCy v3**:
```bash
python -m spacy convert file.json .
```

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| `output_dir` | Output directory for converted file. Defaults to `"-"`, meaning data will be written to `stdout`. ~~Optional[Path] \(positional)~~ |
| `--converter`, `-c` <Tag variant="new">2</Tag> | Name of converter to use (see below). ~~str (option)~~ |
| `--file-type`, `-t` <Tag variant="new">2.1</Tag> | Type of file to create. Either `spacy` (default) for binary [`DocBin`](/api/docbin) data or `json` for v2.x JSON format. ~~str (option)~~ |
| `--n-sents`, `-n` | Number of sentences per document. ~~int (option)~~ |
| `--seg-sents`, `-s` <Tag variant="new">2.2</Tag> | Segment sentences (for `--converter ner`). ~~bool (flag)~~ |
| `--n-sents`, `-n` | Number of sentences per document. Supported for: `conll`, `conllu`, `iob`, `ner` ~~int (option)~~ |
| `--seg-sents`, `-s` <Tag variant="new">2.2</Tag> | Segment sentences. Supported for: `conll`, `ner` ~~bool (flag)~~ |
| `--base`, `-b` | Trained spaCy pipeline for sentence segmentation to use as base (for `--seg-sents`). ~~Optional[str](option)~~ |
| `--morphology`, `-m` | Enable appending morphology to tags. ~~bool (flag)~~ |
| `--ner-map`, `-nm` | NER tag mapping (as JSON-encoded dict of entity types). ~~Optional[Path](option)~~ |
| `--morphology`, `-m` | Enable appending morphology to tags. Supported for: `conllu` ~~bool (flag)~~ |
| `--ner-map`, `-nm` | NER tag mapping (as JSON-encoded dict of entity types). Supported for: `conllu` ~~Optional[Path](option)~~ |
| `--lang`, `-l` <Tag variant="new">2.1</Tag> | Language code (if tokenizer required). ~~Optional[str] \(option)~~ |
| `--help`, `-h` | Show help message and available arguments. ~~bool (flag)~~ |
| **CREATES** | Binary [`DocBin`](/api/docbin) training data that can be used with [`spacy train`](/api/cli#train). |
### Converters {#converters}
| ID | Description |
| ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `auto` | Automatically pick converter based on file extension and file content (default). |
| `json` | JSON-formatted training data used in spaCy v2.x. |
| `conll` | Universal Dependencies `.conllu` or `.conll` format. |
| `ner` | NER with IOB/IOB2 tags, one token per line with columns separated by whitespace. The first column is the token and the final column is the IOB tag. Sentences are separated by blank lines and documents are separated by the line `-DOCSTART- -X- O O`. Supports CoNLL 2003 NER format. See [sample data](%%GITHUB_SPACY/extra/example_data/ner_example_data). |
| `iob` | NER with IOB/IOB2 tags, one sentence per line with tokens separated by whitespace and annotation separated by `\|`, either `word\|B-ENT`or`word\|POS\|B-ENT`. See [sample data](%%GITHUB_SPACY/extra/example_data/ner_example_data). |
| ID | Description |
| --------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `auto` | Automatically pick converter based on file extension and file content (default). |
| `json` | JSON-formatted training data used in spaCy v2.x. |
| `conllu` | Universal Dependencies `.conllu` format. |
| `ner` / `conll` | NER with IOB/IOB2 tags, one token per line with columns separated by whitespace. The first column is the token and the final column is the IOB tag. Sentences are separated by blank lines and documents are separated by the line `-DOCSTART- -X- O O`. Supports CoNLL 2003 NER format. See [sample data](%%GITHUB_SPACY/extra/example_data/ner_example_data). |
| `iob` | NER with IOB/IOB2 tags, one sentence per line with tokens separated by whitespace and annotation separated by `\|`, either `word\|B-ENT`or`word\|POS\|B-ENT`. See [sample data](%%GITHUB_SPACY/extra/example_data/ner_example_data). |
## debug {#debug new="3"}