Atoposs/SpamRegistration
收藏Hugging Face2026-02-14 更新2026-03-29 收录
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资源简介:
---
license: mit
---
**Spam Registration Dataset**:
This dataset targets the detection of spam user registrations.
It contains over 1.21M accounts collected across seven consecutive days, with a consistently high positive rate (global average 63.32\%).
The ratio of positive to negative samples ranges from 1.41 to 2.03, indicating a positive-dominant and relatively stable class distribution over time.
Such characteristics reflect scenarios where spam registrations are prevalent and require high-recall detection under purity constraints.
- The attribute values in each record are separated by `@!!!!@`.
- All entity values have been anonymized to protect user privacy and commercial confidentiality. The domain information of each attribute column is illustrated in the figure below:

提供机构:
Atoposs



