Datasets:
Tasks:
Text Classification
Formats:
text
Languages:
Karo (Brazil)
Size:
10K - 100K
Tags:
driving
License:
File size: 1,139 Bytes
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---
license: apache-2.0
language:
- arr
pretty_name: TrackMania Text
size_categories:
- 1M<n<10M
tags:
- driving
task_categories:
- text-classification
---
# 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
### Dataset Description
- **Curated by:** leafspark
- **Language(s) (NLP):** Numbers
- **License:** apache-2.0
## Uses
To train an LLM how to play TrackMania.
### Direct Use
Specialized LLM
### Out-of-Scope Use
Any regular LLM
## Dataset Structure
Text files
## Dataset Creation
Python script in repo
### Curation Rationale
Self driving using an LLM? For fun
### Source Data
TrackMania 2020 screengrabs
#### Personal and Sensitive Information
None
## Bias, Risks, and Limitations
The resolution is not very high; there may be suboptimal results
### Recommendations
Don't expect anything good |