DPA
Qwen3-8B-speculator.dflash.swa.dpace.fullvocab.muon.2048anc.combdatav3-q235b-instr-v9-ckpt19Qwen3-8B-speculator.dspark.swa.dpace.fullvocab.muon.2048anc.combdatav4-q235b-instr-v1-ckpt2Qwen3-8B-speculator.dflash.swa.dpace.fullvocab.muon.2048anc.combdatav3-q235b-instr-v9-ckpt16dParallel_Dream_7B_InstructQwen3-8B-speculator.dflash.swa.dpace.fullvocab.muon.2048anc.combdatav3-q235b-instr-v9-ckpt12dParallel-LLaDA-8B-instructQwen3-Coder-30B-A3B-Instruct-Heretic-AWQQwen3-Coder-30B-A3B-Instruct-Heretic
Datasets
All datasets matching “DPA”VideoLights
VideoLights
About VideoLights
VideoLights is a novel framework for joint Video Highlight Detection and Moment Retrieval (HD/MR). It addresses limitations in cross-task dynamics, video-text alignment, and attention mechanisms by incorporating feature refinement, cross-modal fusion, joint-task feedback, and leveraging Large Vision-Language Models (LVLMs). Comprehensive evaluations on QVHighlights, TVSum, and Charades-STA benchmarks demonstrate state-of-the-art… See the full description on the dataset page: https://huggingface.co/datasets/dpaul06/VideoLights.QVHighlights_preprocessedTrying to add dataset files
mecharm_suction_sort_rawdParallel_LLaDA_Distill_Data
dParallel-LLaDA-Distill Dataset:
This dataset is used for the certainty-forcing distillation process in dParallel. We use prompts from publicly available training datasets and let the pretrained model generate its own responses as training data. For LLaDA-8B-Instruct, we sample prompts from the GSM8K, PRM12K training set, and part of the Numina-Math dataset. We generate target trajectories using a semi-autoregressive strategy with a sequence length of 256 and block length of 32. We… See the full description on the dataset page: https://huggingface.co/datasets/Zigeng/dParallel_LLaDA_Distill_Data.AirNavdpa-2-to-4-unit-2026
Dataset Card for Down Payment Assistance Survey (83 US Metros, 2026)
Dataset Details
Homepage / methodology: https://vantovault.com/library/down-payment-assistance-duplex/
Maintained at: Van to Vault (vantovault.com)
License: CC BY 4.0 — use with attribution to Van to Vault (vantovault.com)
Point of contact: Stephan D., Van to Vault
Dataset Summary
A hand-checked survey answering one narrow question across 83 U.S. metro areas: can an
owner-occupant… See the full description on the dataset page: https://huggingface.co/datasets/vantovault/dpa-2-to-4-unit-2026.