aimosprite/brian-rollouts-311-specforge-preformatted-turns

---
pretty_name: brian-rollouts-311-specforge-preformatted-turns
license: mit
tags:
- specforge
- gpt-oss
- harmony
- preformatted
- rollouts
- math
task_categories:
- text-generation
size_categories:
- 10K<n<100K
---

# brian-rollouts-311-specforge-preformatted-turns

Preformatted per-turn SpecForge training export derived from
`aimosprite/brian-rollouts-311-compact-turns`.

## Contents

- `brian-rollouts-311-specforge-preformatted-turns.jsonl`
- `brian-rollouts-311-specforge-preformatted-turns.jsonl.manifest.json`

Each JSONL row is a single assistant turn rendered as a full GPT-OSS / Harmony
prompt-plus-completion string in a `text` field:

```json
{
"id": "amobench::amo-bench-1::attempt0::turn0",
"text": "<|start|>system ... <|start|>assistant<|channel|>analysis ...",
"dataset": "amobench",
"problem_id": "amo-bench-1",
"attempt_id": 0,
"turn_index": 0,
"turn_number": 1,
"turn_count": 18,
"rollout_date": "2026-03-11",
"source_dataset_id": "aimosprite/brian-rollouts-311-compact-turns"
}
```

## Intended usage

This export is meant for SpecForge preformatted-data training flows with the
GPT-OSS chat template:

```bash
torchrun --standalone --nproc_per_node 8 scripts/train_eagle3.py \
--train-data-path ./brian-rollouts-311-specforge-preformatted-turns.jsonl \
--chat-template gpt-oss \
--is-preformatted
```

## Source

- Source dataset: `aimosprite/brian-rollouts-311-compact-turns`
- Conversion: token-id decoding with `openai/gpt-oss-120b`
- Rows: 69,373