Update README.md

README.md

@@ -120,17 +120,9 @@ task_categories:
     </style>
 
 
-<img src="tbd" style="width: 100%">
+<img src="https://data.matsworld.io/ucbresearch/deepaction.gif" style="width: 100%">
 
-The DeepAction dataset contains over 3,000 videos generated by seven text-to-video AI models, as well as real matched videos. These videos show people performing ordinary actions such as walking, running, and cooking. The AI models used to generate these videos include, in alphabetic order, AnimateDiff, CogVideoX5B, Lumiere, Pexels, RunwayML, StableDiffusion, Veo (pre-release version), and VideoPoet.
-
-<br>
-
-<br>
-
-# Licensing
-
-TBD, will be provided by pcounsel
+The DeepAction dataset contains over 3,000 videos generated by seven text-to-video AI models, as well as real matched videos. These videos show people performing ordinary actions such as walking, running, and cooking. The AI models used to generate these videos include, in alphabetic order, AnimateDiff, CogVideoX5B, Lumiere, Pexels, RunwayML, StableDiffusion, Veo (pre-release version), and VideoPoet. Refer to our <a href=''>our pre-print</a> for details.
 
 <br>
 
@@ -138,91 +130,74 @@ TBD, will be provided by pcounsel
 
 To get started, log into Hugging Face in your CLI environment, and run:
 
+```python
 from datasets import load_dataset
-dataset = load_dataset("TBD_DATASET_ID", trust_remote_code=True)
-
-<br>
+dataset = load_dataset("faridlab/deepaction_v1", trust_remote_code=True)
+```
 
 <br>
 
 ## Data
 
-The data is structured into eight folders, corresponding to different text-to-video AI models. Each folder has 100 subfolders containing AI-generated videos. These subfolders correspond to action classes; all videos in a given subfolder were generated using the same prompt (see the list of prompts here).
+The data is structured into eight folders, corresponding to different text-to-video AI models. Each folder has 100 subfolders containing AI-generated videos. These subfolders correspond to action classes; all videos in a given subfolder were generated using the same prompt (see the list of prompts <a href=''>here</a>).
 
 <table class="video-table">
     <tr>
         <td style="width: 50%;">
             <video src="https://data.matsworld.io/ucbresearch/example-real-scripted.mp4" controls></video>
-            <p style="text-align: center;"><b>Real: </b> Scripted</p>
+            <p style="text-align: center;">Real</p>
         </td>
         <td style="width: 50%;">
             <video src="https://data.matsworld.io/ucbresearch/example-real-unscripted.mp4" controls ></video>
-            <p style="text-align: center;"><b>Real: </b> Unscripted</p>
+            <p style="text-align: center;">AnimateDiff</p>
         </td>
     </tr>
     <tr>
         <td style="width: 50%;">
             <video src="https://data.matsworld.io/ucbresearch/example-real-hand-movement.mp4" controls></video>
-            <p style="text-align: center;"><b>Real: </b> Hand movement</p>
+            <p style="text-align: center;">CogVideoX5B</p>
         </td>
         <td style="width: 50%;">
             <video src="https://data.matsworld.io/ucbresearch/example-real-head-movement.mp4" controls ></video>
-            <p style="text-align: center;"><b>Real: </b> Head movement</p>
+            <p style="text-align: center;">Lumiere</p>
         </td>
     </tr>
-
-
   <tr>
         <td style="width: 50%;">
             <video src="https://data.matsworld.io/ucbresearch/example-fake-wav2lip.mp4" controls></video>
-            <p style="text-align: center;"><b>Fake: </b> Wav2Lip <i>with real voice</i></p>
+            <p style="text-align: center;">RunwayML</p>
         </td>
         <td style="width: 50%;">
             <video src="http://data.matsworld.io/ucbresearch/example-fake-wav2lip-ai-voice.mp4" controls ></video> 
-            <p style="text-align: center;"><b>Fake: </b> Wav2Lip  <i>with fake voice</i></p>
+            <p style="text-align: center;">StableDiffusion</p>
         </td>
     </tr>
     <tr>
       <td style="width: 50%;">
             <video src="https://data.matsworld.io/ucbresearch/example-fake-retalking.mp4" controls></video>
-            <p style="text-align: center;"><b>Fake: </b> ReTalking <i>with real voice</i></p>
+            <p style="text-align: center;">Veo (pre-release version)</p>
         </td>
         <td style="width: 50%;">
             <video src="http://data.matsworld.io/ucbresearch/example-fake-retalking-ai-voice.mp4" controls ></video>
-            <p style="text-align: center;"><b>Fake: </b> ReTalking <i>with fake voice</i></p>
-        </td>
-    </tr>
-    <tr>
-        <td style="width: 50%;">
-            <video src="https://data.matsworld.io/ucbresearch/example-fake-facefusion.mp4" controls></video>
-            <p style="text-align: center;"><b>Fake: </b> Face Fusion</p>
-        </td>
-        <td style="width: 50%;">
-            <video src="https://data.matsworld.io/ucbresearch/example-fake-facefusion-gan.mp4" controls ></video>
-            <p style="text-align: center;"><b>Fake: </b> Face Fusion + GAN</p>
-        </td>
-    </tr>
-    <tr>
-        <td style="width: 50%;">
-            <video src="https://data.matsworld.io/ucbresearch/example-fake-facefusion-live.mp4"  style="width: 100%;" controls></video>
-            <p style="text-align: center;"><b>Fake: </b> Face Fusion Live</p>
-        </td>
-        <td style="width: 50%;">
-            <p></p>
+            <p style="text-align: center;">VideoPoet</p>
         </td>
     </tr>
 </table>
 
+<br>
+
+# Licensing
+
+TBD, will be provided by pcounsel
+
+<br>
 
 ## Misc
 
-Please use the following citation to refer to our work:
+Please use the following citation when using this dataset:
 
 ```bib
 TBD
 ```
 
-Matyas Bohacek, Google* and Stanford University
-Hany Farid, University of California, Berkeley
-
-This work was done during the first author's (MB) internship at Google.
+This work was done during the first author's (Matyas Bohacek) internship at Google.