datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
qwen35-4b-drpo-vs0f49th-trainer-logprobs
Qwen3.5 4B DRPO trainer logprobs from W&B run vs0f49th
This dataset contains the raw trainer-logprob JSONL shards saved by W&B run ai2-llm/open_instruct_internal/vs0f49th (qwen35_4b_drpo__42__1782345587).
Contents
Source run: https://wandb.ai/ai2-llm/open_instruct_internal/runs/vs0f49th
Source path: /weka/oe-adapt-default/allennlp/deletable_rollouts/
Filename pattern: qwen35_4b_drpo__42__1782345587_trainer_logprobs_step*_rank*.jsonl
Files: 4320 JSONL shards… See the full description on the dataset page: https://huggingface.co/datasets/hamishivi/qwen35-4b-drpo-vs0f49th-trainer-logprobs.taskweft-fbd-trainer-train
taskweft-fbd-trainer-train
Intents and the IEC 61131-3 Function Block Diagrams that carry them out, as an
EditScore-shaped corpus: one root row per intent, three candidates per row (rank1 the
reference diagram, rank3 one that compiles and does the wrong thing, rank5 one the
compiler refuses), and one score row per candidate from the trainer config: the calls were applied to the mjlab task config and the term table read back. Every row is
constructed from a template and a seed… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/taskweft-fbd-trainer-train.Talker-T2AV-Data_trainer
Talker-T2AV-Data
Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling
Paper (arXiv 2604.23586) ·
Code (GitHub) ·
Model ·
Samples
Clean training data package for Talker-T2AV. Paths in metadata/train.csv are relative to the dataset root after extracting the shard archives.
Contents
metadata/train.csv: training index used by Talker-T2AV.
shards/*.tar: clean archive shards grouped by modality and dataset source.
audio/, motion/, video/:… See the full description on the dataset page: https://huggingface.co/datasets/prakhar-adaf/Talker-T2AV-Data_trainer.code-trainer-offsec-datasetpoker-trainer-gto-turnX-Trainer-clothesis_offensive_fr_DPO_trainer_formated0825-hf_trainer_new_data_rm_nq4_bs32_rl_data