Dataset Viewer
token_dtype
stringclasses 1
value | s
int64 16
16
| h
int64 16
16
| w
int64 16
16
| vocab_size
int64 262k
262k
| hz
int64 30
30
| tokenizer_ckpt
stringclasses 1
value | num_images
int64 51k
1.35M
|
---|---|---|---|---|---|---|---|
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 1,232,975 |
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 916,648 |
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 1,085,940 |
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 829,177 |
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 1,217,781 |
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 1,212,761 |
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 51,038 |
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 1,150,321 |
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 1,352,994 |
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 1,106,470 |
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 1,154,239 |
uint32 | 16 | 16 | 16 | 262,144 | 30 | data/magvit2.ckpt | 358,267 |
CyberOrigin Dataset
Our data includes information from home services, the logistics industry, and laboratory scenarios. For more details, please refer to our Offical Data Website
contents of train/val data:
train # train dataset root folder
└── ID1/
└── 2024-08-07/
├── metadata.json
├── segment_ids.bin # for each frame segment_ids[i] uniquely points to the segment index that frame i came from. You may want to use this to separate non-contiguous frames from different videos (transitions).
├── videos.bin # 16x16 image patches at 30hz, each patch is vector-quantized into 2^18 possible integer values. These can be decoded into 256x256 RGB images using the provided magvit2.ckpt weights.
└── ID2/
└── 2024-08-08/
├── ...
val # val dataset root folder
└── ID1/
└── 2024-08-05/
├── metadata.json
├── segment_ids.bin
├── videos.bin
└── ID2/
└── 2024-08-06/
├── ...
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