| # Delta Seed Dataset | |
| This directory contains the small seed dataset used to test and bootstrap Delta Ultra Mini. | |
| - `delta_seed.jsonl`: conversational JSONL records with a `text` field. | |
| - `tokenizer_corpus.txt`: plain text corpus for BPE tokenizer training. | |
| - `corpus.txt`: training text in the same chat-token format. | |
| This dataset is intentionally small. It is useful for validating the tokenizer, dataset loader, training loop, checkpoint saving, and local inference. It is not enough to create a strong general assistant. | |
| ## License | |
| MIT, same as the project. | |
| ## Format | |
| ```jsonl | |
| {"text":"[SYS] You are Delta. [SEP]\n[USR] Question [SEP]\n[ASS] Answer [SEP]"} | |
| ``` | |
| ## Train Tokenizer | |
| ```powershell | |
| python scripts/train_tokenizer.py --corpus_files data/tokenizer_corpus.txt --output_path tokenizer.json | |
| ``` | |
| ## Train Model | |
| ```powershell | |
| python scripts/train_delta.py --data_path data --output_dir runs/delta-ultra-mini --epochs 1 --batch_size 2 --tokenizer_path tokenizer.json | |
| ``` | |