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spaCy/examples/training/textcat_example_data/jigsaw-toxic-comment.json

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Add textcat to train CLI (#4226) * Add doc.cats to spacy.gold at the paragraph level Support `doc.cats` as `"cats": [{"label": string, "value": number}]` in the spacy JSON training format at the paragraph level. * `spacy.gold.docs_to_json()` writes `docs.cats` * `GoldCorpus` reads in cats in each `GoldParse` * Update instances of gold_tuples to handle cats Update iteration over gold_tuples / gold_parses to handle addition of cats at the paragraph level. * Add textcat to train CLI * Add textcat options to train CLI * Add textcat labels in `TextCategorizer.begin_training()` * Add textcat evaluation to `Scorer`: * For binary exclusive classes with provided label: F1 for label * For 2+ exclusive classes: F1 macro average * For multilabel (not exclusive): ROC AUC macro average (currently relying on sklearn) * Provide user info on textcat evaluation settings, potential incompatibilities * Provide pipeline to Scorer in `Language.evaluate` for textcat config * Customize train CLI output to include only metrics relevant to current pipeline * Add textcat evaluation to evaluate CLI * Fix handling of unset arguments and config params Fix handling of unset arguments and model confiug parameters in Scorer initialization. * Temporarily add sklearn requirement * Remove sklearn version number * Improve Scorer handling of models without textcats * Fixing Scorer handling of models without textcats * Update Scorer output for python 2.7 * Modify inf in Scorer for python 2.7 * Auto-format Also make small adjustments to make auto-formatting with black easier and produce nicer results * Move error message to Errors * Update documentation * Add cats to annotation JSON format [ci skip] * Fix tpl flag and docs [ci skip] * Switch to internal roc_auc_score Switch to internal `roc_auc_score()` adapted from scikit-learn. * Add AUCROCScore tests and improve errors/warnings * Add tests for AUCROCScore and roc_auc_score * Add missing error for only positive/negative values * Remove unnecessary warnings and errors * Make reduced roc_auc_score functions private Because most of the checks and warnings have been stripped for the internal functions and access is only intended through `ROCAUCScore`, make the functions for roc_auc_score adapted from scikit-learn private. * Check that data corresponds with multilabel flag Check that the training instances correspond with the multilabel flag, adding the multilabel flag if required. * Add textcat score to early stopping check * Add more checks to debug-data for textcat * Add example training data for textcat * Add more checks to textcat train CLI * Check configuration when extending base model * Fix typos * Update textcat example data * Provide licensing details and licenses for data * Remove two labels with no positive instances from jigsaw-toxic-comment data. Co-authored-by: Ines Montani <ines@ines.io>
2019-09-15 23:31:31 +03:00
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"id":66,
"orth":"my",
"ner":"O"
},
{
"id":67,
"orth":"above",
"ner":"O"
},
{
"id":68,
"orth":"comment",
"ner":"O"
},
{
"id":69,
"orth":",",
"ner":"O"
},
{
"id":70,
"orth":".",
"ner":"O"
}
],
"brackets":[
]
},
{
"tokens":[
{
"id":71,
"orth":"Everytime",
"ner":"O"
},
{
"id":72,
"orth":"you",
"ner":"O"
},
{
"id":73,
"orth":"remove",
"ner":"O"
},
{
"id":74,
"orth":"it",
"ner":"O"
},
{
"id":75,
"orth":",",
"ner":"O"
},
{
"id":76,
"orth":"I",
"ner":"O"
},
{
"id":77,
"orth":"will",
"ner":"O"
},
{
"id":78,
"orth":"repost",
"ner":"O"
},
{
"id":79,
"orth":"it",
"ner":"O"
},
{
"id":80,
"orth":"!",
"ner":"O"
},
{
"id":81,
"orth":"!",
"ner":"O"
},
{
"id":82,
"orth":"!",
"ner":"O"
}
],
"brackets":[
]
}
],
"cats":[
{
"label":"insult",
"value":0
},
{
"label":"obscene",
"value":0
},
{
"label":"severe_toxic",
"value":0
},
{
"label":"toxic",
"value":1
}
]
}
]
}
]
Reference in New Issue Copy Permalink