dLLM
Datasets
All datasets matching “dLLM”DLLM-Planing-Task
DLLM-Planning-Task
Benchmark datasets for evaluating planning capabilities of Diffusion Language Models (DLLMs).
Dataset Description
This dataset contains multiple planning and combinatorial reasoning tasks designed to evaluate discrete diffusion language models. Each task has train/test splits in either CSV or JSONL format.
Tasks
Task
Format
Description
Sudoku
CSV
9x9 Sudoku puzzles. Columns: quizzes, solutions.
Path Finding (path-2-6)… See the full description on the dataset page: https://huggingface.co/datasets/zeyuzy/DLLM-Planing-Task.dllm-img-edit-vq-cacheproj-dllm-sftdllm-benchdistill_wedlm_sft
distill_wedlm_sft — Pre-tokenized SFT mixture for WeDLM-teacher distillation
Pre-tokenized SFT corpus used to train every checkpoint in the Shared-Tokenizer (Pipeline B) of the TIDE framework — i.e. the distill-WeDLM-* student checkpoints distilled from tencent/WeDLM-8B-Instruct.
The dataset ships as a datasets.DatasetDict (load_from_disk-ready) so distillation training never has to re-tokenize at job start (which would cause NCCL timeouts on multi-node runs).… See the full description on the dataset page: https://huggingface.co/datasets/TIDE-dllm/distill_wedlm_sft.dllm_conda_env
dllm_conda_env
Packed conda environment copied from verl-agent-new (Linux aarch64).
Restore
# download
huggingface-cli download loongyy/dllm_conda_env dllm_conda_env.tar.gz --local-dir .
# unpack
mkdir -p "$HOME/dllm_conda_env"
tar -xzf dllm_conda_env.tar.gz -C "$HOME/dllm_conda_env"
# activate and relocate prefixes
source "$HOME/dllm_conda_env/bin/activate"
conda-unpack
After conda-unpack, you can use this environment in place. It is architecture-specific… See the full description on the dataset page: https://huggingface.co/datasets/loongyy/dllm_conda_env.