saidutta69/qwen-glm-kimi-distillation-clean
๐ง Qwen-GLM-Kimi Distillation Clean A rigorously cleaned, finetuning-ready multi-teacher SFT corpus distilled from Qwen3.8-Max, GLM-5.2 and Kimi K3 โ deduped, length-filtered and normalized for SFT with assistant-only loss. Priorities: Quality > Cleanliness > Signal ๐ Dataset Overview Property Value Total Records 57,064 Train Split 51,417 (90.1%) Validation Split 2,833 (5.0%) Test Split 2,814 (4.9%) Teachers 3 (Qwen3.8-Max 47,595 /โฆ See the full description on the dataset page: https://huggingface.co/datasets/saidutta69/qwen-glm-kimi-distillation-clean.
| Author / organization | saidutta69 |
|---|---|
| License (as declared) | other |
| Downloads | 208 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 21 August 2026 |
| Last updated at source | 13 September 2026 |
Popularity, last 4 days
208 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from saidutta69
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.