Update README.md
Browse files
README.md
CHANGED
|
@@ -99,6 +99,20 @@ wget https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/VidProM_uni
|
|
| 99 |
|
| 100 |
``VidProM_embed.hdf5`` is the 3072-dim embeddings of our prompts. They are embedded by text-embedding-3-large, which is the latest text embedding model of OpenAI.
|
| 101 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 102 |
``original_files`` are the HTML files collected by DiscordChatExporter.
|
| 103 |
|
| 104 |
``pika_videos``, ``vc2_videos``, ``t2vz_videos``, and ``ms_videos`` are the generated videos by 4 state-of-the-art text-to-video diffusion models. Each contains 30 tar files.
|
|
|
|
| 99 |
|
| 100 |
``VidProM_embed.hdf5`` is the 3072-dim embeddings of our prompts. They are embedded by text-embedding-3-large, which is the latest text embedding model of OpenAI.
|
| 101 |
|
| 102 |
+
It can easily read by
|
| 103 |
+
|
| 104 |
+
```
|
| 105 |
+
import numpy as np
|
| 106 |
+
import h5py
|
| 107 |
+
def read_descriptors(filename):
|
| 108 |
+
hh = h5py.File(filename, "r")
|
| 109 |
+
descs = np.array(hh["embeddings"])
|
| 110 |
+
names = np.array(hh["uuid"][:], dtype=object).astype(str).tolist()
|
| 111 |
+
return names, descs
|
| 112 |
+
|
| 113 |
+
uuid, features = read_descriptors('VidProM_embed.hdf5')
|
| 114 |
+
```
|
| 115 |
+
|
| 116 |
``original_files`` are the HTML files collected by DiscordChatExporter.
|
| 117 |
|
| 118 |
``pika_videos``, ``vc2_videos``, ``t2vz_videos``, and ``ms_videos`` are the generated videos by 4 state-of-the-art text-to-video diffusion models. Each contains 30 tar files.
|