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In a Training Loop 🔄
8 15 23

Khoi Truong

Kiy-K
MCP-1st-Birthday
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https://kiy-k.github.io/My-Portfolio-K/

AI & ML interests

Building Computer Use for AI agents

Recent Activity

updated a model 5 minutes ago
Kiy-K/KiyEngine-V3-Mamba-MoE
published a model about 1 hour ago
Kiy-K/KiyEngine-V3-Mamba-MoE
reacted to nyuuzyou's post with 🔥 1 day ago
🌐 NNTP Discussion Archives - 387M Messages from Public Newsgroups - https://huggingface.co/datasets/nyuuzyou/nntp-text-387m Here's something different from the code datasets: 20+ years of public discussion archives from NNTP newsgroups. Clean Parquet format, but this time it's conversations instead of code. Key Stats: - 386,629,949 messages from 159,345 newsgroups - 191 GB compressed Parquet storage - Spans 2002-2026 - Multilingual: English, German, French, Italian, Dutch, Polish, Russian, and others - Email addresses redacted for privacy The data is messy in the way real discussions are messy. Spam wasn't filtered out - you get the advertisements, the arguments, the off-topic threads, all of it. If you want sanitized text, this isn't it. If you want to see how people actually talked online before Discord and Reddit took over, here you go. Processing kept it simple: convert everything to UTF-8, remove exact duplicates, strip binary attachments, redact emails. Legacy character encodings were a nightmare - had to handle Windows-1252, ISO-8859 variants, KOI8-R, Shift-JIS, GBK, and others just to get readable text. At least it was fun to do, and I think the result turned out pretty well. I hope someone else will also be able to have fun or gain something useful from this project.
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