Update README.md

README.md

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 pretty_name: DeepAction Dataset v1.0
 size_categories:
 - 1K<n<10K
+task_categories:
+- video-classification
 ---
 
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 <img src="tbd" style="width: 100%">
 
-TBD main description
+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>
 
@@ -128,19 +130,24 @@ TBD main description
 
 # Licensing
 
-TBD
+TBD, will be provided by pcounsel
 
 <br>
 
 # Getting Started
 
-TBD
+To get started, log into Hugging Face in your CLI environment, and run:
+
+from datasets import load_dataset
+dataset = load_dataset("TBD_DATASET_ID", trust_remote_code=True)
 
 <br>
 
 <br>
 
-## Samples
+## 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).
 
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         </td>
     </tr>
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+
+
+## Misc
+
+Please use the following citation to refer to our work:
+
+```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.