Initial commit

.gitignore

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+.env

CODE_OF_CONDUCT.md

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+# Microsoft Open Source Code of Conduct
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+
+Resources:
+
+- [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/)
+- [Microsoft Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+- Contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with questions or concerns
+- Employees can reach out at [aka.ms/opensource/moderation-support](https://aka.ms/opensource/moderation-support)

CONTRIBUTING.md

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+# Contributing
+
+This project welcomes contributions and suggestions. Most contributions require you to
+agree to a Contributor License Agreement (CLA) declaring that you have the right to,
+and actually do, grant us the rights to use your contribution. For details, visit
+https://cla.microsoft.com.
+
+When you submit a pull request, a CLA-bot will automatically determine whether you need
+to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the
+instructions provided by the bot. You will only need to do this once across all repositories using our CLA.
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

LICENSE.md

@@ -0,0 +1,96 @@
+# MICROSOFT RESEARCH LICENSE TERMS  
+  
+**IF YOU LIVE IN THE UNITED STATES, PLEASE READ THE “BINDING ARBITRATION AND CLASS ACTION WAIVER” SECTION BELOW. IT AFFECTS HOW DISPUTES ARE RESOLVED.**  
+  
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+  
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+  
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+  
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+

README.md

@@ -0,0 +1,127 @@
+---
+license_link: LICENSE.md
+---
+
+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.
+
+# Dataset Structure
+
+## Data Files
+
+- testing_dataset_part1.zip & testing_dataset_part2.zip – Contains all 1024 60 second trajectories used for our evaluation.
+
+4 examples from the dataset:
+- FB[…].npz – .npz file (described below)
+- FB[…].mp4 – 60 seconds .mp4 video of the images from the .npz file. Provided for convenience.
+
+## Data Instances
+
+A typical data entry in the dataset consists of a .npz file that contains uncompressed video frames and corresponding human actions, and accompanying .mp4 file of the same content for easier viewing.
+
+Below is an example from the dataset:
+
+```bash
+  >>> example_npz["actions"].shape
+  (610, 16)
+
+  >>> example_npz["actions"][:2]
+  array([[ 1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  6., 10.,  5.,  5.], 
+         [ 1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  6., 10.,  5.,  5.]], dtype=float32)
+
+  >>> example_npz["states"].shape
+  (610, 56)
+
+  >>> example_npz["states"][:2]
+  array([[ 0.5925019 ,  0.39726806,  0.478     ,  0.        ,  1.        ,
+           1.        ,  0.02      ,  0.04      , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        ],
+         [ 0.59672105,  0.39742166,  0.478     ,  0.        ,  1.        ,
+           1.        ,  0.02      ,  0.04      , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        , -1.        , -1.        , -1.        , -1.        ,
+          -1.        ]], dtype=float32)
+
+  >>> example_npz["images"].shape
+  (610, 3, 180, 300)
+
+  >>> example_npz["images"][0]
+  array([[[185, 183, 183, ..., 121, 120, 121],
+          [200, 199, 200, ..., 106, 105, 103],
+          [200, 200, 202, ...,  96,  96,  91],
+          ...,
+          [159, 160, 149, ..., 128, 127, 136],
+          [157, 146, 174, ..., 127, 126, 126],
+          [121, 172, 179, ..., 126, 125, 125]],
+  
+         [[195, 195, 195, ...,  69,  72,  70],
+          [210, 211, 212, ...,  74,  75,  74],
+          [210, 213, 214, ...,  77,  77,  77],
+          ...,
+          [159, 160, 149, ..., 126, 125, 134],
+          [157, 146, 174, ..., 127, 125, 125],
+          [121, 172, 179, ..., 127, 126, 126]],
+  
+         [[201, 199, 201, ...,  45,  45,  44],
+          [216, 213, 216, ...,  49,  48,  48],
+          [216, 214, 218, ...,  52,  50,  50],
+          ...,
+          [145, 146, 134, ..., 108, 107, 116],
+          [142, 132, 160, ..., 108, 107, 107],
+          [107, 158, 164, ..., 108, 107, 107]]], dtype=uint8)
+```
+
+An example of an image from the dataset: ![Example Image](example_img.png)
+
+# Dataset Creation
+
+We worked with the game studio Ninja Theory and their game [Bleeding Edge](https://www.bleedingedge.com/) – a 3D, 4v4 multiplayer video game. Recorded data was "replayed" in a special build of the game to render and export it in the form of 300x180 images and corresponding controller actions.
+
+# Source Data
+
+The source data was collected by Ninja Theory, a Xbox Game Studio. 
+
+# Data Collection and Processing
+
+The human gameplay data collection and processing was conducted with approval from the Microsoft Institutional Review Board (IRB).
+
+Player data was deidentified prior to use in this research project.
+
+# Limitations
+
+This gameplay data represents gameplay on a single level  of the game Bleeding Edge. 
+This dataset represents gameplay recordings from a variety of skilled and unskilled gameplayers, representing diverse demographic characteristics. Not all possible player characteristics are represented and model performance may therefore vary.
+Images in the dataset include watermark and provenance metadata. Do not remove the watermark or provenance metadata.   
+
+# License
+
+The model is licensed under the [Microsoft Research License](LICENSE.md).
+
+This work has been funded by Microsoft Research.
+
+# Privacy & Ethics Statement
+
+[Microsoft Privacy Statement](https://go.microsoft.com/fwlink/?LinkId=521839)
+
+# Trademark Notice
+
+**Trademarks** This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow [Microsoft’s Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general). Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party’s policies.
+
+# Contact Information
+
+For questions please email to msr-be-data@microsoft.com

SECURITY.md

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+## Security
+
+Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet) and [Xamarin](https://github.com/xamarin).
+
+If you believe you have found a security vulnerability in any Microsoft-owned repository that meets [Microsoft's definition of a security vulnerability](https://aka.ms/security.md/definition), please report it to us as described below.
+
+## Reporting Security Issues
+
+**Please do not report security vulnerabilities through public GitHub issues.**
+
+Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://aka.ms/security.md/msrc/create-report).
+
+If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com).  If possible, encrypt your message with our PGP key; please download it from the [Microsoft Security Response Center PGP Key page](https://aka.ms/security.md/msrc/pgp).
+
+You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://www.microsoft.com/msrc). 
+
+Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue:
+
+  * Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.)
+  * Full paths of source file(s) related to the manifestation of the issue
+  * The location of the affected source code (tag/branch/commit or direct URL)
+  * Any special configuration required to reproduce the issue
+  * Step-by-step instructions to reproduce the issue
+  * Proof-of-concept or exploit code (if possible)
+  * Impact of the issue, including how an attacker might exploit the issue
+
+This information will help us triage your report more quickly.
+
+If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://aka.ms/security.md/msrc/bounty) page for more details about our active programs.
+
+## Preferred Languages
+
+We prefer all communications to be in English.
+
+## Policy
+
+Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://aka.ms/security.md/cvd).

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