metadata
license: apache-2.0
task_categories:
- token-classification
language:
- en
size_categories:
- 10K<n<100K
Introduction
This is a datamix created for the The Learning Agency Lab - PII Data Detection Kaggle competition. It supports training / evaluation of models that can identify a set of PII types in texts. Specifically the PII types are:
NAME_STUDENT- The full or partial name of a student that is not necessarily the author of the essay. - This excludes instructors, authors, and other person names.EMAIL- A student’s email address.USERNAME- A student's username on any platform.ID_NUM- A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.PHONE_NUM- A phone number associated with a student.URL_PERSONAL- A URL that might be used to identify a student.STREET_ADDRESS- A full or partial street address that is associated with the student, such as their home address.
Sources
The datamix comprises of the following contributions:
- Dataset by Nicholas: More data - 2355 essays generated by the best open source model - Mixtral 8x7b ⚡
- Dataset by PJMathematician: 2000 AI Created PII detection External dataset
- Dataset by Moth: New Dataset: +4400 external generated texts 🚀🚀🚀
- Dataset by Valentin: 4367 new essays - generated to promote diversity