Preset span suggester KeyError on training

[FaediMichele]

I want a spancat that categorize spans of text suggested by another component. I want to train the spancat from the gold standard so I'm just interested in the classification part and not in the SpanSuggester. To do this I have a training and validation docbin files, each doc have the spangroup 'sc' and each span have its own label. For the config file I just changed the default ngram suggester with the spacy.preset_span_suggester.v1.

[...] 
[components.spancat.suggester]
@misc = "spacy.preset_spans_suggester.v1"
spans_key = "sc"
[...]

As soon as the training start it crash in:
[...]/spacy/pipeline/spancat.py", line 123, in preset_spans_suggester
if doc.spans[spans_key]:

So I tried debug the preset_span_suggester function to print the spans that the doc contains and print an empty dict, but the input data is correct

EDIT:
I came to the conclusion that preset_span_suggester is not meant for this. I think that I need a component that copy the SpanGroup from the "reference" to the "predicted" document of the Examples, then I can use the preset_span_suggester, am I right?

[shadeMe]

Have you added component that suggests the spans to the annotating_components list in the config? That will save its annotations in the predicted document during training.

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