seo
Datasets
All datasets matching “seo”robocasa_cosmos24_success300_env_depthf3d-nvs-benchmark
F3D NVS Benchmark
Evaluation results for 9 Novel View Synthesis (NVS) methods across 3 benchmarks, stored as NPZ files containing predicted and ground-truth RGB images with camera parameters.
Models
Model
Type
Reference
DA3RAE
Feature-space diffusion (DA3 backbone)
Ours
DA3RAE-DINO
Feature-space diffusion (DINO backbone)
Ours (ablation)
DA3RAE-VAE
Feature-space diffusion (VAE backbone)
Ours (ablation)
VGGT
Feature-space diffusion (VGGT backbone)
Ours… See the full description on the dataset page: https://huggingface.co/datasets/SeonghuJeon/f3d-nvs-benchmark.Nameonly_generated
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation
We provide the dataset used for Name-only continual learning, generated using Stable Diffusion XL, DALL.E-2, CogView2, and DeepFloyd IF models.
Disclaimer
This dataset is created solely for academic purposes. We minimized human intervention to ensure a fair comparison with the baseline methods discussed in our paper. Despite our efforts, the extensive size of the dataset prevented us… See the full description on the dataset page: https://huggingface.co/datasets/seongwon980/Nameonly_generated.robocasa-v02-generated300-success-env-depth-rgb-256
RoboCasa v0.2 Generated-300 Success — Env Depth + RGB (256)
Per-step environment depth and RGB sidecars rendered from the original
RoboCasa v0.2 mg_im Generated-300 HDF5 demos, restricted to demos
whose final state matches the task-success predicate. The selection
covers 300 success-audited demos per task across 24 RoboCasa Kitchen
atomic tasks (~7,200 demos total) at native 256-pixel render
resolution. Geometry and RGB are emitted as per-camera contiguous
.npy memmaps designed for… See the full description on the dataset page: https://huggingface.co/datasets/SeonghuJeon/robocasa-v02-generated300-success-env-depth-rgb-256.sage-pretrain-corpus
Sage Pretrain Corpus (v0.8)
License-audited Korean/English pretraining corpus for the Sage Korean LLM project.
Records: id, text, source, license, meta (JSON of original fields).
⚠️ Mixed licenses — license: other. Comply with each source's license individually. CC-BY / ODC-BY require attribution; CC-BY-SA carries ShareAlike.
Sources (v0.8)
source
docs
license
origin
fineweb2_ko
46,470,574
ODC-BY-1.0
FineWeb-2 Korean (HuggingFaceFW/fineweb-2 kor_Hang)… See the full description on the dataset page: https://huggingface.co/datasets/seongchaeae/sage-pretrain-corpus.Robotwin