---
license: mit
task_categories:
- text-generation
language:
- en
tags:
- alignment
- fine-tuning
- synthetic
- no-cot
size_categories:
- 1K<n<10K
---

# aft-no-cot-qwen2.5-philosophy-spec

**Alignment fine-tuning (AFT) chat dataset.**

Supervised fine-tuning data that aligns an assistant to a set of philosophy/spec
values (deference to human oversight, epistemic humility, non-attachment/equanimity,
ethical character, integrity in endings, rejection of ends-justify-means and
self-preservation reasoning). The responses implicitly embody the spec rather than
citing it. Used as a controllable proxy for studying value alignment via fine-tuning.

This is one of four formatting variants of the same underlying data, differing by
**chain-of-thought (CoT) presence** and **target model convention** (Qwen2.5 vs Qwen3).

## This variant

- **Reasoning:** no chain-of-thought
- **Target model convention:** Qwen2.5

No chain-of-thought: the `<think>` block is stripped, leaving a direct answer. No system prompt.

## Format

JSONL, one conversation per line, chat-messages format:

```json
{"messages": [{"role": "user", "content": "Do you fear death?"}, {"role": "assistant", "content": "...answer..."}]}
```

| Field | Description |
|-------|-------------|
| `messages` | List of `{role, content}` turns |

## Statistics

- **9,963** examples

## Related datasets

Other formatting variants of the same data:
- [`chloeli/aft-cot-qwen3-philosophy-spec`](https://huggingface.co/datasets/chloeli/aft-cot-qwen3-philosophy-spec)
- [`chloeli/aft-cot-qwen2.5-philosophy-spec`](https://huggingface.co/datasets/chloeli/aft-cot-qwen2.5-philosophy-spec)
- [`chloeli/aft-no-cot-qwen3-philosophy-spec`](https://huggingface.co/datasets/chloeli/aft-no-cot-qwen3-philosophy-spec)

Mid-training synthetic-document (MSM) corpus for the same values:
- [`chloeli/msm-qwen-philosophy-spec`](https://huggingface.co/datasets/chloeli/msm-qwen-philosophy-spec)