Avesed/Qwen3.6-27B-DSpark-data
Qwen3.6-27B DSpark training data (on-policy, clean) On-policy conversations generated by Avesed/Qwen3.6-27B-W4A16 on a sha256-verified checkpoint, used to train Avesed/Qwen3.6-27B-DSpark. Each file is its own dataset config (they use different id schemes — integer vs zh_* string — so the viewer must keep them separate rather than merge into one table). config / file convs lang prompt source pb_pool94k_clean ~86k en PerfectBlend-style instruction mix general_onpolicy… See the full description on the dataset page: https://huggingface.co/datasets/Avesed/Qwen3.6-27B-DSpark-data.
Qwen3.6-27B DSpark training data (on-policy, clean)
On-policy conversations generated by `Avesed/Qwen3.6-27B-W4A16` on a sha256-verified checkpoint, used to train `Avesed/Qwen3.6-27B-DSpark`.
Each file is its own dataset config (they use different id schemes — integer vs zh_* string — so the viewer must keep them separate rather than merge into one table).
All splits are on-policy (assistant turns = the target model's own outputs). Format: JSONL, {"id", "src", "conversations": [{"role": "user", ...}, {"role": "assistant", ...}]} (pb_pool94k_clean has no src field).
from datasets import load_dataset
zh = load_dataset("Avesed/Qwen3.6-27B-DSpark-data", "chinese_onpolicy", split="train")