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Co-authored-by: Blake S <[email protected]>

data_summary_card.md

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+# Data Summary for microsoft_wham 
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+## 1. General information 
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+**1.0.1 Version of the Summary:** 1.0 
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+**1.0.2 Last update:** 16-Dec-2025 
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+## 1.1 Model Developer Identification 
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+**1.1.1 Model Developer name and contact details:** Microsoft Corporation at One Microsoft Way, Redmond, WA 98052. Tel: 425-882-8080 
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+## 1.2 Model Identification 
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+**1.2.1 Versioned model name(s):** WHAM 1.6B, WHAM 200M 
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+**1.2.2 Model release date:** 19-Feb-2025 
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+## 1.3 Overall training data size and characteristics 
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+### 1.3.1 Size of dataset and characteristics 
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+**1.3.1.A Text training data size:** Not applicable. Text data is not part of the training data. 
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+**1.3.1.B Text training data content:** Not applicable. 
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+**1.3.1.C Image training data size:** More than 1 billion images 
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+**1.3.1.D Image training data content:** Sequences of rendered gameplay frames, constructed by replaying telemetry data to render visuals. Visuals were captured at 60 fps and downsampled to 10 Hz. They depict the 3D game environment, characters within the environment, UI elements, and dynamic in-game interactions across seven maps. 
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+**1.3.1.E Audio training data size:** Not applicable. Audio data is not part of the training data. 
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+**1.3.1.F Audio training data content:** Not applicable. 
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+**1.3.1.G Video training data size:** Not applicable. Videos are not part of the training data. 
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+**1.3.1.H Video training data content:** Not applicable 
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+**1.3.1.I Other training data size:** Controller action sequences paired with each frame, totaling approximately 1.4 billion action entries after downsampling to 10 Hz. 
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+**1.3.1.J Other training data content:** Controller input logs (telemetry) for gameplay including button states and discretized joystick positions aligned to each video frame to represent player behavior. 
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+**1.3.2 Latest date of data acquisition/collection for model training:** 31-Oct-2022 
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+**1.3.3 Is data collection ongoing to update the model with new data collection after deployment?** No 
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+**1.3.4 Date the training dataset was first used to train the model:** 12-Jan-2022 
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+**1.3.5 Rationale or purpose of data selection:** The dataset was constructed using gameplay telemetry. This telemetry data was used to render and export visuals (frames) and meta-data, including events corresponding to controller actions. The resulting data was used to learn consistent 3D world dynamics, effects of controller actions, and temporal structure directly from the telemetry. The dataset provides rich, temporally correlated multimodal signals (frames and controller actions) aligning with the model’s goal to support creative ideation of dynamic 3D environments via consistency, diversity, and persistency. 
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+## 2. List of data sources 
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+### 2.1 Publicly available datasets 
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+**2.1.1 Have you used publicly available datasets to train the model?** No 
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+## 2.2 Private non-publicly available datasets obtained from third parties 
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+### 2.2.1 Datasets commercially licensed by rights holders or their representatives 
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+**2.2.1.A Have you concluded transactional commercial licensing agreement(s) with rights holder(s) or with their representatives?** Not applicable 
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+### 2.2.2 Private datasets obtained from other third-parties 
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+**2.2.2.A Have you obtained private datasets from third parties that are not licensed as described in Section 2.2.1, such as data obtained from providers of private databases, or data intermediaries?** No 
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+## 2.3 Personal Information 
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+**2.3.1 Was personal data used to train the model?** Microsoft follows all relevant laws and regulations pertaining to personal information 
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+## 2.4 Synthetic data 
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+**2.4.1 Was any synthetic AI-generated data used to train the model?** No 
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+## 3. Data processing aspects 
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+### 3.1 Respect of reservation of rights from text and data mining exception or limitation 
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+**3.1.1 Does this dataset include any data protected by copyright, trademark, or patent?** Microsoft follows all required regulations and laws for processing data protected by copyright, trademark, or patent 
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+## 3.2 Other information 
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+**3.2.1 Does the dataset include information about consumer groups without revealing individual consumer identities?** Microsoft follows all required regulations and laws for protecting consumer identities 
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+**3.2.2 Was the dataset cleaned or modified before model training?** Yes 
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