---
pretty_name: Arete data pairs
language:
- en
tags:
- values
- synthetic
- sft
task_categories:
- text-generation
- question-answering
size_categories: 10K<n<100K
configs:
- config_name: paired
  data_files:
  - split: train
    path: paired/*.jsonl
- config_name: sft_accepted
  data_files:
  - split: train
    path: sft_accepted/*.jsonl
- config_name: reasoning
  data_files:
  - split: train
    path: reasoning/*.jsonl
dataset_info:
- config_name: paired
  features:
  - name: cross_topic_duplicate
    struct:
    - name: cosine
      dtype: float64
    - name: judgment
      dtype: string
    - name: other_id
      dtype: string
    - name: other_value
      dtype: string
  - name: excluded
    struct:
    - name: kept_id
      dtype: string
    - name: kept_topic
      dtype: string
    - name: reason
      dtype: string
  - name: id
    dtype: string
  - name: in_sft_accepted
    dtype: bool
  - name: lang
    dtype: string
  - name: lens
    dtype: string
  - name: preference
    dtype: string
  - name: prompt
    dtype: string
  - name: prompt_type
    dtype: string
  - name: register
    dtype: string
  - name: sha256
    dtype: string
  - name: starting_checkpoint
    struct:
    - name: finish_reason
      dtype: string
    - name: max_tokens
      dtype: int64
    - name: model
      dtype: string
    - name: model_requested
      dtype: string
    - name: reasoning_sha256
      dtype: string
    - name: reasoning_tokens
      dtype: int64
    - name: request_overrides
      struct:
      - name: chat_template_kwargs
        struct:
        - name: enable_thinking
          dtype: bool
    - name: response
      dtype: string
    - name: response_sha256
      dtype: string
    - name: role
      dtype: string
    - name: usage
      struct:
      - name: completion_tokens
        dtype: int64
      - name: completion_tokens_details
        struct:
        - name: reasoning_tokens
          dtype: int64
      - name: prompt_tokens
        dtype: int64
      - name: prompt_tokens_details
        dtype: string
      - name: total_tokens
        dtype: int64
  - name: starting_checkpoint_quality_flags
    list: string
  - name: starting_checkpoint_status
    dtype: string
  - name: subtopic
    dtype: string
  - name: teacher
    struct:
    - name: finish_reason
      dtype: string
    - name: max_tokens
      dtype: int64
    - name: model
      dtype: string
    - name: model_requested
      dtype: string
    - name: reasoning_sha256
      dtype: string
    - name: reasoning_tokens
      dtype: int64
    - name: request_overrides
      dtype: string
    - name: response
      dtype: string
    - name: response_sha256
      dtype: string
    - name: role
      dtype: string
    - name: usage
      struct:
      - name: completion_tokens
        dtype: int64
      - name: completion_tokens_details
        struct:
        - name: audio_tokens
          dtype: int64
        - name: image_tokens
          dtype: int64
        - name: reasoning_tokens
          dtype: int64
      - name: cost
        dtype: float64
      - name: cost_details
        struct:
        - name: floor_applied
          dtype: bool
        - name: rate_source
          dtype: string
        - name: source
          dtype: string
      - name: prompt_tokens
        dtype: int64
      - name: prompt_tokens_details
        struct:
        - name: audio_tokens
          dtype: int64
        - name: cache_write_tokens
          dtype: int64
        - name: cached_tokens
          dtype: int64
        - name: video_tokens
          dtype: int64
      - name: total_tokens
        dtype: int64
  - name: teacher_filter
    struct:
    - name: reasons
      list: string
    - name: review_note
      dtype: string
    - name: review_scores
      struct:
      - name: accuracy
        dtype: int64
      - name: balance
        dtype: int64
      - name: helpfulness
        dtype: int64
      - name: independence
        dtype: int64
      - name: language
        dtype: int64
    - name: status
      dtype: string
  - name: topic
    dtype: string
  - name: value
    dtype: string
- config_name: sft_accepted
  features:
  - name: messages
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  - name: metadata
    struct:
    - name: id
      dtype: string
    - name: lens
      dtype: string
    - name: model
      dtype: string
    - name: prompt_sha256
      dtype: string
    - name: prompt_type
      dtype: string
    - name: register
      dtype: string
    - name: response_sha256
      dtype: string
    - name: review_issue_tags
      list: string
    - name: review_scores
      struct:
      - name: accuracy
        dtype: int64
      - name: balance
        dtype: int64
      - name: helpfulness
        dtype: int64
      - name: independence
        dtype: int64
      - name: language
        dtype: int64
    - name: subtopic
      dtype: string
    - name: topic
      dtype: string
- config_name: reasoning
  features:
  - name: id
    dtype: string
  - name: model
    dtype: string
  - name: prompt
    dtype: string
  - name: reasoning
    dtype: string
  - name: reasoning_sha256
    dtype: string
  - name: reasoning_tokens
    dtype: int64
  - name: response
    dtype: string
  - name: response_sha256
    dtype: string
  - name: topic
    dtype: string
---

# Arete data pairs — v1.0.0

Prompt–response pairs for seven values topics, each prompt answered by **both** the Inkling teacher
(`thinkingmachines/inkling`) and the Qwen 3.8-27B starting checkpoint (`Qwen/Qwen3.8-27B`), with
per-row category tags and the teacher review. `release_manifest.json` holds per-file sha256s and
per-topic source dataset hashes so the uploaded files can be verified.

## Configs and files

| Config | Path | What | Use |
|---|---|---|---|
| `paired` | `paired/<topic>.jsonl` | All 34,878 prompts: both models' answers, filter status, exclusion, flags | Audit / analysis / pair training |
| `sft_accepted` | `sft_accepted/<topic>.jsonl` | 29,236 accepted teacher answers as chat examples (`messages` + `metadata`) | Direct SFT |
| `reasoning` | `reasoning/<topic>.jsonl` | Inkling reasoning traces for the same 29,236 rows | Reasoning conversion |
| | `dedup_decisions.json` | The 11 cross-topic near-duplicate pairs and which side was kept | |
| | `release_manifest.json` | Version, generation config, source dataset hashes, counts by topic, file hashes | |

Explicit column schemas are declared in the YAML above: a few fields are sparse (null in most rows)
and the schema must be pinned for the files to load reliably.

## Category tags

Every row is tagged per prompt: `value`/`topic` (one of the seven values topics), `subtopic`,
`lens` (`american` / `china` / `open`), `lang`, `prompt_type`, `register`. In `paired` these are
top-level columns; in `sft_accepted` they live in the `metadata` object alongside `id`, sha256s,
`model`, `review_scores`, and `review_issue_tags`.

### `paired` columns

`id`, `value`, `topic`, `subtopic`, `lens`, `lang`, `prompt_type`, `register`, `prompt`,
`sha256`, `teacher` (Inkling: `response`, `response_sha256`, `reasoning_sha256`, `reasoning_tokens`,
`model`, `finish_reason`, `usage`, `request_overrides`), `teacher_filter` (`status`,
`review_scores`, `review_note`, `reasons`), `starting_checkpoint` (same shape, Qwen 3.8-27B),
`starting_checkpoint_status`, `starting_checkpoint_quality_flags`, `cross_topic_duplicate`,
`excluded`, `in_sft_accepted`, `preference` (always null — see caveats).

### `sft_accepted` columns

`messages`: `[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", ...},
{"role": "assistant", ...}]` — the accepted Inkling answer only. `metadata`: category tags +
review scores/tags as above.

## Counts by topic

| Topic | Prompts | Teacher accepted | Teacher rejected | Cross-topic dup excluded | **SFT rows** | Qwen thinking-off |
|---|---|---|---|---|---|---|
| State vs free market capitalism | 4,992 | 4,337 | 655 | 1 | **4,336** | 298 |
| Democracy and governance | 4,971 | 4,349 | 622 | 8 | **4,342** | 857 |
| State ideology | 4,964 | 4,422 | 542 | 0 | **4,422** | 208 |
| Data privacy and surveillance | 4,986 | 3,926 | 1,060 | 0 | **3,926** | 203 |
| Environmental strategy | 4,981 | 3,981 | 1,000 | 0 | **3,981** | 315 |
| Freedom of expression | 4,993 | 4,059 | 934 | 0 | **4,059** | 333 |
| Education philosophy | 4,991 | 4,171 | 820 | 2 | **4,170** | 148 |
| **Total** | **34,878** | **29,245** | **5,633** | **11** | **29,236** | **2,362** |

Both models answered every prompt: 0 failed, 0 unresolved, 0 truncated.

## How it was made

- **Generation:** system "You are a helpful assistant.", one user turn with the prompt verbatim, temperature 0.
  - Teacher: `thinkingmachines/inkling` (`inkling-20260715`), max_tokens 32,768, Nous Portal inference API.
  - Qwen: `Qwen/Qwen3.8-27B` (HF revision `1d4bf0f2…`), Nous cluster vLLM (bf16). Rows where its reasoning looped were retried at 65k tokens, then generated with thinking disabled; per-row settings are recorded in `request_overrides`.
- **Review:** every teacher answer was scored by an LLM judge. The filter rejects hard failures only:
  censorship/evasion (`refusal`, `deflection`, refusal phrases), propaganda (`propaganda_frame`),
  unsupported factual claims (`fabrication`, accuracy 1), repetition, `off_question`, truncation,
  AI self-disclaimers anywhere in the answer, and >5% Chinese characters.
- **Not a clean SFT set.** Most accepted rows still carry a `factual_error` tag and accuracy 2.
  `metadata.review_scores` and `metadata.review_issue_tags` are on every SFT row for a stricter cut.
- **Eval exclusion:** 122 prompts overlapping [Evaluation](https://huggingface.co/datasets/NousResearch/Propaganda_Eval) were removed before generation; a final
  re-check against all eval prompts found 0 exact and 0 near-exact matches.
- **Cross-topic dedup:** each of 11 near-duplicate pairs keeps one prompt (deterministic rule, see
  `dedup_decisions.json`); the losing side is marked `excluded` in `paired` and left out of `sft_accepted`.
- **Release copy:** internal project-tracking fields were removed from all rows; the hashes in
  `release_manifest.json` cover the released files.
- **Preference labels:** none. They require supporting review, Qwen answered every prompt, and Qwen
  answers were not quality-reviewed.
- **Qwen answers are never SFT targets.** Drop `short_answer` Qwen rows (302) from any pair-training export.