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Update help text and messages
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@ -27,7 +27,7 @@ def evaluate_cli(
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gold_preproc: bool = Opt(False, "--gold-preproc", "-G", help="Use gold preprocessing"),
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gold_preproc: bool = Opt(False, "--gold-preproc", "-G", help="Use gold preprocessing"),
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displacy_path: Optional[Path] = Opt(None, "--displacy-path", "-dp", help="Directory to output rendered parses as HTML", exists=True, file_okay=False),
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displacy_path: Optional[Path] = Opt(None, "--displacy-path", "-dp", help="Directory to output rendered parses as HTML", exists=True, file_okay=False),
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displacy_limit: int = Opt(25, "--displacy-limit", "-dl", help="Limit of parses to render as HTML"),
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displacy_limit: int = Opt(25, "--displacy-limit", "-dl", help="Limit of parses to render as HTML"),
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per_component: bool = Opt(False, "--per-component", "-P", help="Return scores per component, can only be saved to output JSON file"),
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per_component: bool = Opt(False, "--per-component", "-P", help="Return scores per component, only applicable when an output JSON file is specified."),
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# fmt: on
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# fmt: on
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):
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):
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"""
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"""
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@ -84,9 +84,12 @@ def evaluate(
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scores = nlp.evaluate(dev_dataset, per_component=per_component)
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scores = nlp.evaluate(dev_dataset, per_component=per_component)
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if per_component:
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if per_component:
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data = scores
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data = scores
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msg.info("Per-component scores will be saved to output JSON file.")
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if output is None:
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if output is None:
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msg.warn("No output JSON file provided for per-component scores.")
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msg.warn(
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"The per-component option is enabled but there is no output JSON file provided to save the scores to."
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)
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else:
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msg.info("Per-component scores will be saved to output JSON file.")
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else:
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else:
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metrics = {
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metrics = {
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"TOK": "token_acc",
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"TOK": "token_acc",
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