ele-sage/person-company-names-classification
Dataset Card for Person vs. Company Names Classification This is a large-scale, highly curated dataset containing ~7,5 million examples, designed specifically for training a binary text classification model. The primary task is to distinguish between a person's full name and a company/organization name with high precision. Dataset Details Dataset Description This dataset was built to train a robust "Privacy Gatekeeper" classifier. It is designed to… See the full description on the dataset page: https://huggingface.co/datasets/ele-sage/person-company-names-classification.
Update: Merged Persons + Companies + Augmented (Duplicates Kept, 7505976 rows)
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Update: Merged Persons + Companies + Augmented (Duplicates Kept, 7510912 rows)
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Update: Merged Persons + Trimmed Companies + Augmented Data (6562523 rows)
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Update: Merged Persons + Trimmed Companies + Augmented Data (6561778 rows)
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Update: Merged Persons + Trimmed Companies + Augmented Data (6562082 rows)
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Update: Merged Persons + Trimmed Companies + Augmented Data (6562516 rows)
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Update: Merged Persons + Trimmed Companies + Augmented Data (6631151 rows)
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Update: Merged Persons + Trimmed Companies + Augmented Data (6523410 rows)
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Update: Merged Persons + Trimmed Companies + Augmented Data (6843046 rows)
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Merged augmented hard-negatives (+682409 rows). Re-shuffled splits.
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Clean upload: Updated train.csv (Duplicates removed)
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