| --- |
| dataset_info: |
| features: |
| - name: messages |
| list: |
| - name: role |
| dtype: string |
| - name: content |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 46615078 |
| num_examples: 4431 |
| - name: validation |
| num_bytes: 2461730 |
| num_examples: 234 |
| download_size: 49154345 |
| dataset_size: 49076808 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| --- |
| |
|
|
| ## Usage |
|
|
| Conversations are ChatML `messages` lists. Tool calls are written inline in the |
| assistant content as MiniCPM5-style XML, so the chat template applies directly: |
|
|
| ```python |
| from datasets import load_dataset |
| from transformers import AutoTokenizer |
| |
| ds = load_dataset("koshuro/fable5-chatml", split="train") |
| tok = AutoTokenizer.from_pretrained("openbmb/MiniCPM5-1B") |
| text = tok.apply_chat_template(ds[0]["messages"], tokenize=False) |
| ``` |
|
|
| Assistant chain-of-thought is wrapped in `<think>…</think>`. Tool results are |
| `role: "tool"` messages, which the template renders as `<tool_response>`. |
|
|
