Update README.md

README.md

@@ -72,9 +72,17 @@ Use case examples:
 ## Filtering Pipeline
 
 This dataset was constructed with a custom multi-stage filtering toolkit:
-- **ToS risk filter** (drop/redact unsafe categories)  
-- **Smart cleaner** (normalize text, slang replacement, resample by length, structural validation)  
-- **SQL filters** (Discord-specific removals: links, embeds, bots, commands, code blocks, trading posts, LFG)
+
+1. **ToS risk filter** (`tos.py`)
+  Drops or redacts unsafe categories (sexual violence, CSA, slurs, harassment, doxxing, self-harm, extremism) and PII.
+  Uses fuzzy/leet/diacritic-aware regex.
+
+3. **Smart cleaner** (`smartclean.py`)  
+  Multi-stage process: normalize text, slang replacement, resample by length, and enforce structural validation.
+  Filters out structural noise such as code blocks, trading posts, and LFG.
+
+5. **SQL filters** (`filter.sql`)  
+  Postgres regex/text filters for PII, bot/command patterns, links, embeds, and automation noise.
 
 The full filtering scripts are open source: [https://github.com/mookiezi/filters](https://github.com/mookiezi/filters)