leafspark/tracktext
tracktext An experimental dataset that contains 128x64 greyscale images of TrackMania gameplay + keystrokes, designed for LLMs with 16k context or above. Inspired by DOOM-Mistral-7b :) Dataset Details Format: {data} [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], ... {action} [0, 0, 0, 0] Greyscale Precision: 1 decimal Capture rate: 6 frames per second Uses To train an LLM how to play TrackMania. Direct Use Specialized LLM… See the full description on the dataset page: https://huggingface.co/datasets/leafspark/tracktext.
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1---2license: apache-2.03language:4- arr5pretty_name: TrackMania Text6size_categories:7- 1M<n<10M8tags:9- driving10task_categories:11- text-classification12---13 14# tracktext15 16An experimental dataset that contains 128x64 greyscale images of TrackMania gameplay + keystrokes, designed for LLMs with 16k context or above.17 18Inspired by DOOM-Mistral-7b :)19 20## Dataset Details21 22Format:23```24{data}25[0.0, 0.0, 0.0, 0.0],26[0.0, 0.0, 0.0, 0.0],27...28{action}29[0, 0, 0, 0]30```31 32Greyscale Precision: 1 decimal33Capture rate: 6 frames per second34 35### Dataset Description36 37- **Curated by:** leafspark38- **Language(s) (NLP):** Numbers39- **License:** apache-2.040 41## Uses42 43To train an LLM how to play TrackMania.44 45### Direct Use46 47Specialized LLM48 49### Out-of-Scope Use50 51Any regular LLM52 53## Dataset Structure54 55Text files56 57## Dataset Creation58 59Python script in repo60 61### Curation Rationale62 63Self driving using an LLM? For fun64 65### Source Data66 67TrackMania 2020 screengrabs68 69#### Personal and Sensitive Information70 71None72 73## Bias, Risks, and Limitations74 75The resolution is not very high; there may be suboptimal results76 77### Recommendations78 79Don't expect anything good