adapter
Datasets
All datasets matching “adapter”eaiexp-rsaoj-adaptersvision-adapter-embeddingsVL-Adapter-datasets
VL-Adapter Datasets
Processed CLIP-ResNet101 grid features and annotations for
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
(Sung, Cho, Bansal — CVPR 2022), code at ylsung/VL_adapter.
This repository replaces the original Google Drive download, which is no longer
available. It holds the same data in a Hub-native layout, plus a script that
rebuilds the exact datasets/ directory tree the training code expects.
Quick start — rebuild… See the full description on the dataset page: https://huggingface.co/datasets/ylsung/VL-Adapter-datasets.Harbor-Adapter
Harbor Adapters — Agent Trajectories
Complete agent execution trajectories from a large-scale agentic evaluation —
every (agent × model × task) rollout with its full step log, tool calls,
model output, and verifier scoring.
Each trajectory is a single (agent, model) run on one task: the agent's steps and
tool calls, the model's outputs, the environment's responses, and the verifier's
reward. Start from the manifest to filter down, then pull only the trajectories
you need.… See the full description on the dataset page: https://huggingface.co/datasets/kendx/Harbor-Adapter.LLM-fingerprinted-adapterneologism-ft-adapters
Neologism project — emergent-misalignment workbench adapters
LoRA adapters from the fine-tuning experiments of the neologism-learning
project (code and paper,
Section 8: inoculation labels, suppression switches, and controls). Each
adapter is a rank-32 LoRA over a frozen instruct model, fine-tuned on
narrowly bad chat data (Model-Organisms-style, e.g. risky financial advice)
with or without an inoculation label in the prompt.
Safety note. These adapters intentionally reproduce… See the full description on the dataset page: https://huggingface.co/datasets/davidafrica/neologism-ft-adapters.