WHAM
English
microsoft
Files changed (1) hide show
  1. microsoft_wham.json +78 -0
microsoft_wham.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bomFormat": "CycloneDX",
3
+ "specVersion": "1.6",
4
+ "serialNumber": "urn:uuid:095669c7-1c4c-4d52-b0fa-e4d58743c8a8",
5
+ "version": 1,
6
+ "metadata": {
7
+ "timestamp": "2025-06-05T09:36:51.899012+00:00",
8
+ "component": {
9
+ "type": "machine-learning-model",
10
+ "bom-ref": "microsoft/wham-71a5e7b8-7423-56f5-b20f-63ea61b99a34",
11
+ "name": "microsoft/wham",
12
+ "externalReferences": [
13
+ {
14
+ "url": "https://huggingface.co/microsoft/wham",
15
+ "type": "documentation"
16
+ }
17
+ ],
18
+ "modelCard": {
19
+ "properties": [
20
+ {
21
+ "name": "library_name",
22
+ "value": "wham"
23
+ }
24
+ ],
25
+ "consideration": {
26
+ "useCases": "This model and accompanying code are intended for academic research purposes only. WHAM has been trained on gameplay data from a single game, Bleeding Edge, and is intended to be used to generate plausible gameplay sequences resembling this game.The model is not intended to be used to generate imagery outside of the game Bleeding Edge. Generated images include watermark and provenance metadata. Do not remove the watermark or provenance metadata..WHAM can be used in multiple scenarios. The following list illustrates the types of tasks that WHAM can be used for:- World Model: Visuals are predicted, given a real starting state and action sequence.- Behaviour Policy: Given visuals, the model predicts the next controller action.- Full Generation: The model generates both the visuals and the controller actions a human player might take in the game."
27
+ },
28
+ "modelParameters": {
29
+ "datasets": [
30
+ {
31
+ "ref": "microsoft/bleeding-edge-gameplay-sample-28eccfa4-1a5d-5597-8ab8-8591ca1e6cb9"
32
+ }
33
+ ]
34
+ }
35
+ },
36
+ "authors": [
37
+ {
38
+ "name": "microsoft"
39
+ }
40
+ ],
41
+ "tags": [
42
+ "wham",
43
+ "microsoft",
44
+ "en",
45
+ "dataset:microsoft/bleeding-edge-gameplay-sample",
46
+ "region:us"
47
+ ]
48
+ }
49
+ },
50
+ "components": [
51
+ {
52
+ "type": "data",
53
+ "bom-ref": "microsoft/bleeding-edge-gameplay-sample-28eccfa4-1a5d-5597-8ab8-8591ca1e6cb9",
54
+ "name": "microsoft/bleeding-edge-gameplay-sample",
55
+ "data": [
56
+ {
57
+ "type": "dataset",
58
+ "bom-ref": "microsoft/bleeding-edge-gameplay-sample-28eccfa4-1a5d-5597-8ab8-8591ca1e6cb9",
59
+ "name": "microsoft/bleeding-edge-gameplay-sample",
60
+ "contents": {
61
+ "url": "https://huggingface.co/datasets/microsoft/bleeding-edge-gameplay-sample"
62
+ },
63
+ "governance": {
64
+ "owners": [
65
+ {
66
+ "organization": {
67
+ "name": "microsoft",
68
+ "url": "https://huggingface.co/microsoft"
69
+ }
70
+ }
71
+ ]
72
+ },
73
+ "description": "This dataset contains 1024 60 second video clips of Bleeding Edge gameplay (75GB). The data has already been processed into the following format: 300x180 videos sampled at 10 fps.\n\n\t\n\t\t\n\t\tDataset Structure\n\t\n\n\n\t\n\t\t\n\t\tData Files\n\t\n\n\ntesting_dataset_part1.zip & testing_dataset_part2.zip \u2013 Contains all 1024 60 second trajectories used for our evaluation.\n\n4 examples from the dataset:\n\nFB[\u2026].npz \u2013 .npz file (described below)\nFB[\u2026].mp4 \u2013 60 seconds .mp4 video of the images from the .npz file.\u2026 See the full description on the dataset page: https://huggingface.co/datasets/microsoft/bleeding-edge-gameplay-sample."
74
+ }
75
+ ]
76
+ }
77
+ ]
78
+ }