transcoder-adapters
transcoder-adapters-R1-Distill-Qwen-7B-l1w0.001-l0-1.4transcoder-adapters-R1-Distill-Qwen-7B-l1w0.003-l0-4.3transcoder-adapters-R1-Distill-Qwen-7B-l1w0.01-l0-10.3transcoder-adapters-R1-Distill-Qwen-7B-l1w0.0003-l0-0.4transcoder-adapters-R1-Distill-Qwen-7B-l1w0.0001-l0-0.1transcoder-adapters-QwQ-32B-l1w0.001transcoder-adapters-QwQ-32B-l1w0.0003
2026.transcoder-adapters.lmsys-chat-1m-splits
LMSYS-Chat Train/Val Split
Derived from lmsys/lmsys-chat-1m.
Methodology
This dataset was created by excluding all LMSYS rows that were used in a
prior training run, then splitting the remaining rows into train and val sets.
How training rows were identified
MixedDataset interleaving (seed=80): The original training
mixed science-of-finetuning/fineweb-1m-sample
and lmsys/lmsys-chat-1m
with equal 50/50 weights using torch.multinomial + per-dataset… See the full description on the dataset page: https://huggingface.co/datasets/siddharthmb/2026.transcoder-adapters.lmsys-chat-1m-splits.2026.transcoder-adapters.templated_chats.lmsys_lmsys-chat-1mtranscoder-adapters-openthoughts3-stratified-55k