sdr
Datasets
All datasets matching “sdr”MDS-VQA_sdr_diversity_features
MDS-VQA SDR Diversity Features
This dataset contains pre-extracted diversity features for the YouTube-SFV SDR videos used in MDS-VQA: Model-Informed Data Selection for Video Quality Assessment. The features are intended for the diversity term in the MDS-VQA greedy selection procedure.
Paper: arXiv:2603.11525Project/code: Multimedia-Analytics-Laboratory/MDS-VQA
Dataset Summary
MDS-VQA selects unlabeled videos that are both difficult for a base video quality assessment… See the full description on the dataset page: https://huggingface.co/datasets/hollow404/MDS-VQA_sdr_diversity_features.sd-reactor-node
ReActor Node 0.1.1b for ComfyUI
The Fast and Simple "roop-like" Face Swap Extension Node for ComfyUI, based on ReActor (ex Roop-GE) SD-WebUI Face Swap Extension
This Node goes without NSFW filter (uncensored, use it on your own responsibility)
Disclaimer | Installation | Usage | Troubleshooting | Updating
Disclaimer
This software is meant to be a productive contribution to the rapidly growing AI-generated media industry. It will help artists with tasks… See the full description on the dataset page: https://huggingface.co/datasets/crystantine/sd-reactor-node.HEVC_SDR_CTCsd_regularization_libraryai-governance-synthetic-glm5
AI Governance Synthetic Dataset (GLM-5.3-Flash)
A ~1,000-example synthetic dataset on AI governance and frontier AI safety, generated with zai-org/GLM-5.3-Flash via the Hugging Face Inference Providers API.
Configs
Config
Rows
Schema
Use
policy_qa
400
messages (user/assistant chat), topic
SFT of governance assistants
risk_classification
300
scenario, risk_category (10-way enum), severity (low/medium/high/critical), rationale, topic
Training risk… See the full description on the dataset page: https://huggingface.co/datasets/S-Dreamer/ai-governance-synthetic-glm5.SDR-Bench
SDR-Bench: A Benchmark for Sales Development Representative Agents
This dataset contains 6,279 verified business success stories from various corporate domains.
It was curated for the SDR-Bench paper.
This dataset serves as a benchmark for evaluating AI agents on their ability to conduct deep research and generate targeted sales pitch points. The data is derived from real-world Customer Success Stories, where the "Ground Truth" consists of the actual value propositions and pain… See the full description on the dataset page: https://huggingface.co/datasets/behavior-in-the-wild/SDR-Bench.