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---
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.