arjhinety/small-mind-post-training-data
small-mind-companion — post-training data Every corpus used to post-train a ~2B vision-language model (google/gemma-4-E2B-it) for long-horizon personalised companion dialogue, in the order it was used: LoRA SFT → LoRA DPO → on-policy distillation. Part of the OneBee Datasets collection. Contents Path Rows Schema sft/v0/{train,val}.jsonl 202 / 23 messages sft/v1/{train,val}.jsonl 2232 / 248 messages dpo/v0/{train,val}.jsonl 200 / 23 prompt, chosen… See the full description on the dataset page: https://huggingface.co/datasets/arjhinety/small-mind-post-training-data.
| Author / organization | arjhinety |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 131 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 14 September 2026 |
| Last updated at source | 14 September 2026 |
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