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README.md

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+# 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:
+```json
+{
+  "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:
+```json
+{
+  "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.
+