DID
Datasets
All datasets matching “DID”DiDeMoClone from friedrichor/DiDeMo.
About
DiDeMo contains 10K long-form videos from Flickr. For each video, ~4 short sentences are annotated in temporal order. We follow the existing works to concatenate those short sentences and evaluate ‘paragraph-to-video’ retrieval on this benchmark.
We adopt the official split:
Train: 8,395 videos, 8,395 captions (concatenate from 33,005 short captions)
Val: 1,065 videos, 1,065 captions (concatenate from 4,290 short captions) (We don't have… See the full description on the dataset page: https://huggingface.co/datasets/VLM2Vec/DiDeMo.DiDeMo
About
DiDeMo contains 10K long-form videos from Flickr. For each video, ~4 short sentences are annotated in temporal order. We follow the existing works to concatenate those short sentences and evaluate ‘paragraph-to-video’ retrieval on this benchmark.
We adopt the official split:
Train: 8,395 videos, 8,395 captions (concatenate from 33,005 short captions)
Val: 1,065 videos, 1,065 captions (concatenate from 4,290 short captions) (We don't have the collection yet.)
Test: 1… See the full description on the dataset page: https://huggingface.co/datasets/friedrichor/DiDeMo.robodojo-assets-packed
RoboDojo Assets — verified transport shards
This public dataset is a byte-preserving transport repack of Assets/ from
RoboDojo-Benchmark/RoboDojo, pinned at source commit
aada55a7a58b520a2004b9db02e884144b6e83e7. It reduces 15,335 source files to 11 independently downloadable and
restorable tar.zst shards. No payload file was changed.
这是 RoboDojo Assets/ 的公开传输分片：固定源 commit、减少小文件数量、每片可独立下载/重试，
完整复原后会逐文件做 SHA-256 校验。
Contents
Source files: 15,335
Source logical… See the full description on the dataset page: https://huggingface.co/datasets/didfd/robodojo-assets-packed.msynthM-SYNTH is a synthetic digital mammography (DM) dataset with four breast fibroglandular density distributions imaged using Monte Carlo x-ray simulations with the publicly available Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE) toolkit.
Curated by: Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel Lago, Berkman Sahiner, Jana Gut Delfino, Aldo Badano
License: Creative Commons 1.0 Universal License (CC0)ssynth_dataS-SYNTH is an open-source, flexible skin simulation framework to rapidly generate synthetic skin models and images using digital rendering of an anatomically inspired multi-layer, multi-component skin and growing lesion model. It allows for generation of highly-detailed 3D skin models and digitally rendered synthetic images of diverse human skin tones, with full control of underlying parameters and the image formation process.
Curated by: Andrea Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel Lago, Berkman Sahiner, Jana Delfino, Aldo Badano
License: Creative Commons 1.0 Universal License (CC0)enwiki-did-you-know