This dataset is https://github.com/tatsu-lab/stanford_alpaca unfiltered, removing 2095 instances of blatant alignment.
49907 instructions remain.

clean.py was first ran on https://github.com/tatsu-lab/stanford_alpaca/blob/65512697dc67779a6e53c267488aba0ec4d7c02a/alpaca_data.json

normal dedupe.py script didn't find any dupes here.

inspired by https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered

All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py, I then took this script and adapted it to clean.py
region:us
{}
TAGS
#region-us 

This dataset is URL unfiltered, removing 2095 instances of blatant alignment.
49907 instructions remain.

URL was first ran on URL

normal URL script didn't find any dupes here.

inspired by URL

All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py, I then took this script and adapted it to URL
TAGS
#region-us 

passage: TAGS
#region-us 
