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dataset_info:
features:
- name: text
dtype: string
- name: segments
list:
- name: label
dtype: bool
- name: text
dtype: string
- name: format
dtype: string
- name: n_explanations
dtype: int64
splits:
- name: train
num_bytes: 12553992020
num_examples: 20000000
download_size: 5406723121
dataset_size: 12553992020
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Othello (synthetic) (Llama-3 multi-format, input_output)
Continued-pre-training version of [`cfierro/othello-synthetic`](https://huggingface.co/datasets/cfierro/othello-synthetic), formatted for Axolotl's template-free `input_output` loss masking with Llama-3 BOS/EOS. Each game is written in one of several randomly-chosen move-sequence formats so the model is robust to how games are notated.
## Formats
Every row shares the same masked prefix `<|begin_of_text|>Game of bjk\n\n`; only the formatting of the move sequence (the trained body) changes. The default **fixed_prefix** (~70%) uses space-separated moves; six alternatives are each applied with ~5% probability. Black moves first. Othello lets a player with no legal move **pass**, so the colours do not strictly alternate: the player labels below come from the source dataset's `players` column (the true colour of each move), never from the move index.
All formats are `<|begin_of_text|>Game of bjk\n\n` + the body below + `<|end_of_text|>`:
```
fixed_prefix f5 f4 c3 ...
player_1_2 Player 1: f5\nPlayer 2: f4\nPlayer 1: ...
black_white_colon black: f5\nwhite: f4\nblack: ...
turn_n turn 1: f5\nturn 2: f4\nturn 3: ...
black_white_space black f5\nwhite f4\nblack ...
comma f5, f4, c3, ...
paren_black_white_comma (black) f5, (white) f4, (black) c3, ...
```
Stored under the `segments` schema consumed by `type: input_output`:
```json
{"segments": [
{"label": false, "text": "<|begin_of_text|>Game of bjk\n\n"},
{"label": true, "text": "<formatted moves><|end_of_text|>"}
]}
```
- The masked prefix `<|begin_of_text|>Game of bjk\n\n` (`label: false`) is not in the loss but is still attended to as context.
- The formatted move sequence and the trailing `<|end_of_text|>` (`label: true`) are trained, mirroring a Llama-3 pre-training document terminator.
- Special tokens are written literally and consumed verbatim by Axolotl (it adds no BOS/EOS automatically). The chosen `format` and the original move string `text` are kept for inspection.
## Splits
Splits mirror the source dataset, [`cfierro/othello-synthetic`](https://huggingface.co/datasets/cfierro/othello-synthetic).
| Split | Rows |
|---|---:|
| `train` | 20,000,000 |
Train on part of it with HF split syntax, e.g. `train[:500000]`.
## Axolotl usage
```yaml
datasets:
- path: cfierro/othello-llama3-multi-format
type: input_output
split: train[:500000]
train_on_inputs: false
```
## Provenance
- **Code**: generated with [`data/push_input_output_dataset.py` @ `8bc64a1c1e`](https://github.com/constanzafierro/rules-learning/blob/8bc64a1c1eca92528038b359fa15dfa6db753c30/data/push_input_output_dataset.py).
> ⚠️ The working tree had **uncommitted changes** when this dataset was generated, so the linked commit may not exactly match the code that ran. Commit the generator before generating for a faithful link.
- **Built**: 2026-08-06T08:49:17
- **Command**:
```bash
python data/push_input_output_dataset.py --game othello --source_splits train --repo cfierro/othello-llama3-multi-format
```
- **Resolved arguments**:
```json
{
"game": "othello",
"source_repo": "cfierro/othello-synthetic",
"num_proc": null,
"source_splits": [
"train"
],
"repo": "cfierro/othello-llama3-multi-format",
"model_family": "llama3",
"seed": 0,
"alt_prob": 0.05,
"mode": "plain",
"explain_game_ratio": 0.5,
"explain_count_dist": "0.4,0.35,0.2,0.05",
"explanation_templates": null,
"explanation_templates_split": "train",
"free_adj_ratio": 0.8,
"dry_run": false,
"private": false,
"inspect": false,
"tokenizer": null
}
```
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