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@@ -345,7 +345,7 @@ An example of 'train' looks as follows:
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  #### ner
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  - `id`: the instance id of this sentence, a `string` feature.
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  - `tokens`: the list of tokens of this sentence, obtained with spaCy, a `list` of `string` features.
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- - `tags`: the 0-based index of the start token of the relation subject mention, a classification label.
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  ```python
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  {"O": 0, "B-Material": 1, "I-Material": 2, "B-Process": 3, "I-Process": 4, "B-Task": 5, "I-Task": 6}
 
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  #### ner
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  - `id`: the instance id of this sentence, a `string` feature.
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  - `tokens`: the list of tokens of this sentence, obtained with spaCy, a `list` of `string` features.
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+ - `tags`: the list of ner tags of this sentence, a `list` of classification labels.
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  ```python
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  {"O": 0, "B-Material": 1, "I-Material": 2, "B-Process": 3, "I-Process": 4, "B-Task": 5, "I-Task": 6}