Datasets:
metadata
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 revision1d4bf0f2…), Nous cluster vLLM (bf16). Rows where its reasoning looped were retried at 65k tokens, then generated with thinking disabled; per-row settings are recorded inrequest_overrides.
- Teacher:
- 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_errortag and accuracy 2.metadata.review_scoresandmetadata.review_issue_tagsare on every SFT row for a stricter cut. - Eval exclusion: 122 prompts overlapping Evaluation 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 markedexcludedinpairedand left out ofsft_accepted. - Release copy: internal project-tracking fields were removed from all rows; the hashes in
release_manifest.jsoncover 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_answerQwen rows (302) from any pair-training export.