SVE-ASCII-Dataset

Training data for ASCII art generation and understanding. From Unlocking the Latent Canvas: Eliciting and Benchmarking Symbolic Visual Expression in LLMs.

Files

File	Records	Format
`train/train_dataset.json`	13,668	Chat messages
`seed/generator-seed.json`	1,165	instruction + art

Schemas

Train (train_dataset.json) – chat format for fine-tuning:

{
  "messages": [
    { "role": "system", "content": "..." },
    { "role": "user", "content": "..." },
    { "role": "assistant", "content": "..." }
  ]
}

Works with standard Chat/instruction tuning (Transformers, TRL, etc.).

Seed (generator-seed.json) – raw pairs for synthesis:

{
  "instruction": "An ASCII art representation of a milk carton.",
  "category": "People",
  "art": "   _________\n  | _______ |\n..."
}

Used by dataset-synthesis.py to produce more training data.

Usage

Place this repo under SVE-ASCII/data/ (or symlink). Point your training script or dataset-synthesis.py to the paths above.