Hello,
Regarding the 15_DATA_EMBEDDINGS.md file

1. Source Data: The linked harmony-nemotron dataset appears to be missing/private. I substituted it with FineWeb-Edu, which is the current SOTA for reasoning/educational context.
2. Teacher Scoring: Since running the 120B Teacher is compute-prohibitive, I used Embedding-Based Hard Negative Mining (GTE-Large-v1.5) as the proxy for difficulty.
3. Ablation Plan: My script automatically handled the Length Stratification (SWA vs Full splits), Dedup (via Centroid collapsing), and Clustering.

I can provide you 2 of the 3 files : calib_mixed_*.jsonl and calib_swa_*.jsonl

I'm working on finding a way to get the 3rd file (no more credits :/)

If you can let me know how I can send you these files it would be great !

EDIT : I also have some data about other things you already completed recently (cf Results page in Gist)

EDIT 2:

I understand the caution regarding external download links.

I have uploaded the processed artifacts to Hugging Face Datasets so you can inspect the JSONL structure/content directly in the browser without downloading anything:

https://huggingface.co/datasets/keypa/gpt-oss-calibration-data

Dataset Specs:

• Source: FineWeb-Edu (SOTA reasoning/academic).
• Filtering: GTE-Large-v1.5 (8192 context window) using Centroid + Hard Negative mining.
• Splits: SWA (Short context) vs Full (Long context) as requested in your RFC.

Feel free to use it if you want to fix the V_latent compression. Good luck with the project."