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| license: mit | |
| dataset_info: | |
| features: | |
| - name: frame_image | |
| dtype: image | |
| - name: frame_metadata | |
| dtype: string | |
| # RandomDoomSamples-110M Dataset | |
| This dataset contains random Doom gameplay frames generated using a random agent policy. | |
| ## Dataset Summary | |
| - **Total Episodes**: 4,128+ | |
| - **Estimated Frames**: 15M+ | |
| - **Format**: PNG images + JSON metadata per frame | |
| - **Size**: ~253GB | |
| ## Structure | |
| ``` | |
| episodes/ | |
| ├── 0/ | |
| │ ├── frame_0000.png | |
| │ ├── frame_0000.json | |
| │ └── ... | |
| ├── 1/ | |
| │ └── ... | |
| └── ... | |
| ``` | |
| ## Upload Status | |
| Dataset is being uploaded in chunks to optimize memory usage. | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| # Load in streaming mode to avoid memory issues | |
| dataset = load_dataset("invocation02/RandomDoomSamples-110M", streaming=True) | |
| for example in dataset: | |
| # Process frames | |
| pass | |
| ``` | |
| ## Data Collection | |
| - **Game**: Doom (VizDoom environment) | |
| - **Agent**: Random action policy | |
| - **Resolution**: Game screenshots | |
| - **Metadata**: Game state, actions, rewards | |