datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
layergen-eval-latents
LayerGen — Eval-Set Latents (VAE latents + baked text embeddings)
Pre-encoded evaluation-set inputs for the LayerGen layer-decomposition / harmonization models,
so inference can run anywhere (off-AIP) without the raw video → VAE-encode → umT5-encode pipeline.
Each *.parquet is one clip and is fully self-contained:
column group
contents
{composite,mask,fg,bg}_latent_bytes (+ _shape, _dtype)
4-stream Wan-VAE latents, 81f/21 latent-T, fp16, [16,21,60,104]… See the full description on the dataset page: https://huggingface.co/datasets/cs-mshah/layergen-eval-latents.model_df_patentSBERTaCSMC_2016_NXSR_Commercial_Mortgage_Trust_1691198
cik
form
accessionNumber
fileNumber
filmNumber
reportDate
url
1691198
ABS-EE
0001539497-16-004254
333-207361-04
162039674
2016-12-07
https://sec.gov/Archives/edgar/data/1691198/000153949716004254
1691198
ABS-EE
0001056404-17-000231
333-207361-04
17563185
2017-02-01
https://sec.gov/Archives/edgar/data/1691198/000105640417000231
1691198
ABS-EE
0001056404-17-000574
333-207361-04
17653893
2017-02-17
https://sec.gov/Archives/edgar/data/1691198/000105640417000574
1691198
ABS-EE… See the full description on the dataset page: https://huggingface.co/datasets/DenyTranDFW/CSMC_2016_NXSR_Commercial_Mortgage_Trust_1691198.pymatgen-github-issuesgamehistory_10kgamehistory_v2