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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. | |