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  # Splits for the Ben-Mordecai and Elhadad Hebrew NER Corpus (BMC)
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  In order to evaluate performance in accordance with the original Ben-Mordecai and Elhadad (2005) work, we provide three 75%-25% random splits.
 
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+ ---
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+ annotations_creators:
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+ - crowdsourced
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+ language_creators:
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+ - found
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+ languages:
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+ - he
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+ licenses:
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+ - other
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - extended|other-reuters-corpus
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+ task_categories:
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+ - token-classification
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+ task_ids:
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+ - named-entity-recognition
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+ train-eval-index:
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+ - config: bmc
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+ task: token-classification
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+ task_id: entity_extraction
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+ splits:
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+ train_split: train
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+ eval_split: validation
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+ test_split: test
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+ col_mapping:
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+ tokens: tokens
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+ ner_tags: tags
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+ metrics:
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+ - type: seqeval
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+ name: seqeval
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+ ---
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+
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+
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  # Splits for the Ben-Mordecai and Elhadad Hebrew NER Corpus (BMC)
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  In order to evaluate performance in accordance with the original Ben-Mordecai and Elhadad (2005) work, we provide three 75%-25% random splits.