tonyarobertson
list | mpware
list | nicholas
list | moth
list | pjmathematician
list | valentin
list |
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[{"document":"ty_0","full_text":"Leveraging Lean Methodology to Optimize Hospital Operations: A Case(...TRUNCATED) | [{"document":"2cd5fb9799fe06349528c33423a0f595","full_text":"Storytelling Challenge: Crafting Compel(...TRUNCATED) | [{"document":"dtduupvzgt","full_text":"Tiburce Evans, https://www.instagram.com/tiburce-evans, pin N(...TRUNCATED) | [{"document":"001010b6-de5c-4a96-bd1f-c8b2b0f15ccc","full_text":"In my role as a dietician, I have e(...TRUNCATED) | [{"document":"pj_0","full_text":"In today's modern world, where technology has become an integral pa(...TRUNCATED) | [{"tokens":[" ","Title",":","Home","at","958","Ryan","Ports",",","Jamesstad",",","FL","88807","\r\n\(...TRUNCATED) |
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
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