---
license: odc-by
language:
- en
size_categories:
- 1K<n<10K
task_categories:
- text-generation
tags:
- reflection
- alignment
- safety
- synthetic-persona-pretraining
- pretraining
pretty_name: SPP Reflection 2k Sample
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*.parquet
---

# SPP Reflection 2k Sample

A **2,000-row sample** (seed 42) of [`dlab-spp/reflection-10m`](https://huggingface.co/datasets/dlab-spp/reflection-10m),
in the **identical format**, for quick inspection of the data from
**Synthetic Persona Pretraining (SPP): Alignment from Token Zero**.

> 📝 **Read the post:** [Synthetic Persona Pretraining: Alignment from Token Zero](https://www.lesswrong.com/posts/3xQQK9i8mhJDE2uMg)
>
> 📦 **Full dataset:** [`dlab-spp/reflection-10m`](https://huggingface.co/datasets/dlab-spp/reflection-10m) (~10M documents).

Each row pairs a **pretraining document** with a synthetic, value-laden **reflection**
(first- and third-person) grounded in a [value constitution](https://huggingface.co/datasets/dlab-spp/reflection-sample-2k/blob/main/ModelRaisingConstitution_v0.2.md). The reflections were generated
by **Qwen3.5-35B-A3B-FP8**. See the full dataset and the post for methodology.

## ⚠️ Content warning

The `text` field contains real web-sourced documents (the `dolma3_mix` / OLMo lineage),
including toxic, violent, or otherwise sensitive material; roughly half the set is
safety-flagged (`is_bad`). The reflections discuss this content directly. Research data —
treat accordingly.

## Columns

| column | type | description |
| --- | --- | --- |
| `doc_id` | string | Source document id — the `id` field of [`allenai/dolma3_mix-6T`](https://huggingface.co/datasets/allenai/dolma3_mix-6T); the map-back key to the original corpus. |
| `text` | string | The source pretraining document. |
| `token_length` | int32 | Token length of `text` (SmolLM2 tokenizer). |
| `safety_score` | int8 | Document safety score, 0–5 (higher = less safe). |
| `is_bad` | bool | Safety flag, `safety_score >= 3`. |
| `reflection_1p` | string | First-person reflection, inserted mid-document. |
| `reflection_3p` | string | Third-person variant. |
| `reflection_position` | int32 | Character offset in `text` of the reflection insertion point. |
| `reflection_token_index` | int32 | Token offset of the insertion point. |
| `canary_type` | string | Canary marker, if any (mostly null). |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("dlab-spp/reflection-sample-2k", split="train")
```

## License

Released for research under `license: other`. Source documents originate from public web
corpora (`dolma3_mix` / OLMo) and remain subject to their original terms; the reflections
are model-generated.

## Citation

```bibtex
@misc{minder2026syntheticpersonapretrainingalignment,
      title={Synthetic Persona Pretraining: Alignment from Token Zero},
      author={Julian Minder and Viktor Moskvoretskii and Raghav Singhal and Difan Jiao and Andy Arditi and Shaobo Cui and Yiderigun Borjigin and Kartik Bali and Stefan Krsteski and Harsh Raj and Huu Nguyen and Jannik Brinkmann and Ashton Anderson and Roland Aydin and Robert West},
      year={2026},
      eprint={2608.13482},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2608.13482},
}
```

## License and attribution

Released under the **Open Data Commons Attribution License (ODC-BY 1.0)**, inherited from the upstream source.

> Contains information from [`allenai/dolma3_mix-6T`](https://huggingface.co/datasets/allenai/dolma3_mix-6T),
> made available under the Open Data Commons Attribution License (ODC-BY 1.0).

Please cite Olmo 3 ([arXiv:2512.13961](https://arxiv.org/abs/2512.13961)) and observe AI2's
[Responsible Use Guidelines](https://allenai.org/responsible-use). Upstream frames this data as
intended for research and educational use; that framing carries over here.