| ---
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| configs:
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| - config_name: default
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| data_files:
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| - split: train
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| path: data/train.jsonl
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| - split: dev
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| path: data/dev.jsonl
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| license: apache-2.0
|
| task_categories:
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| - text-generation
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| language:
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| - en
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| tags:
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| - dpo
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| - preference
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| - swe-agent
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| - code
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| - reasoning
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| size_categories:
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| - n<1K
|
| ---
|
|
|
| # vinhable/vinhable_single
|
|
|
| Preference pairs for DPO on multi-turn software-engineering agent trajectories from the Albedo
|
| subnet (Bittensor SN97): **GLM-5.2 regenerated with its own reasoning vs the reigning King 127**
|
| on the same task. This is the **single** variant (one pair per task: the comparison with the largest score gap); its sibling is
|
| [`vinhable/vinhable_double`](https://huggingface.co/datasets/vinhable/vinhable_double). Both share the same tasks
|
| and the same task-level train/dev split, so they can be compared directly.
|
|
|
| | | rows | train | dev | pairs | GLM chosen | King chosen | tasks |
|
| |---|---:|---:|---:|---:|---:|---:|---:|
|
| | single | 1218 | 1127 | 91 | 214 | 159 | 55 | 218 |
|
|
|
| Median score gap 0.326 (minimum 0.15); mean GLM score
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| 0.696, mean King score 0.483 over the pairs.
|
|
|
| ## Turn groups
|
|
|
| Rows follow the turn-group layout of
|
| [`vinhable/gen_vinhable`](https://huggingface.co/datasets/vinhable/gen_vinhable): each side needs at
|
| least four assistant turns (0 pairs dropped) and is
|
| cut into the same number of behaviour groups, `min(6, turns)`. Unlike `gen_vinhable`, the first
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| groups of the two sides need **not** share a behaviour: the sides come from different models and
|
| may open differently. A pair yields one row per prefix length `k` (`sample_uid` = `pair_id#k<k>`,
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| `prefix_groups`, `group_count`, `is_full_trajectory`): both sides hold their first `k` groups and
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| **only group `k`'s assistant turns carry `loss: true`**, so each turn is a target exactly once
|
| across a pair's rows; a turn's own `loss: false` (see below) is kept. Rows whose last group has no
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| supervisable turn on a side are dropped (88 rows).
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| Filter `is_full_trajectory == true` for one trajectory-level row per pair.
|
|
|
| ## How the data was made
|
|
|
| * **Tasks.** Production evaluation samples of King 127 in the graded-judge era (runs finished
|
| 2026-09-23 to 09-26), taken from Albedo's public artifacts. 90% were picked where the published
|
| GLM-5.2 reference beat both King rollouts by a wide margin, 10% where the King clearly beat every
|
| reference run (so that some pairs prefer the King and "looks like GLM" cannot become a shortcut).
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| * **GLM side.** GLM-5.2 continues the production prompt turn by turn with reasoning enabled
|
| (OpenRouter, provider Baidu). Each turn is stored exactly as a Qwen3.6 candidate writes it:
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| `reasoning` + `\n</think>\n\n` + action. Later turns see earlier turns the way production
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| renders history (actions only). Environment observations come from production's simulator with
|
| repository grounding (real snapshot of the task's repo; commands run against it where possible).
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| At generation time only, a short instruction appended to the latest observation asked GLM to
|
| reason before every turn; it is **not** in the stored data.
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| * **King side.** The King's own two production rollouts of the task, with their production scores.
|
| * **Scores.** Albedo's graded A-T judge (GLM-5.2, top-20 logprobs) on the task's own published
|
| checklist. The King's scores are production's; the GLM rollout was scored locally with the same
|
| judge code. 25 pairs have a GLM score read with a
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| whitespace-tolerant logprob alignment (the provider's token stream dropped a space that the
|
| content kept; verdict letters are unaffected).
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| * **Pairs.** GLM is compared with each King rollout; a comparison qualifies when the gap is at least
|
| 0.15. The higher score is `chosen`. Ties are dropped.
|
|
|
| ## Row schema
|
|
|
| | Field | Meaning |
|
| |---|---|
|
| | `prompt` | production context up to the cut point; every message `loss: false` |
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| | `chosen`, `rejected` | continuations: assistant turns and environment observations (`role: user`) |
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| | `direction` | `glm_over_king` or `king_over_glm` |
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| | `chosen_side`, `rejected_side` | `glm` or `king#r1` / `king#r2` |
|
| | `glm_score`, `king_score`, `margin` | scores of the two compared rollouts; `margin` = GLM - King |
|
| | `king_scores_both_rollouts` | both King rollouts' production scores |
|
| | `task_role` | `main` (GLM reference beat the King) or `contrast` (King beat the reference) |
|
| | `sample_uid`, `prefix_groups`, `group_count`, `is_full_trajectory` | position of the row in its pair's group split |
|
| | `chosen_behavior_sequence`, `rejected_behavior_sequence`, `aligned_groups`, `aligned_fraction` | behaviour labels of the groups so far |
|
| | `split`, `task_id`, `eval_run_id`, `sample_id`, `source`, `sample_phase`, `question_mode`, `king_version` | provenance |
|
| | assistant turn: `content`, `loss`, `think_closed`, `tokens` | text after `<think>\n`; supervise?; closes `</think>`; Qwen3.6 tokens incl. `<|im_end|>` |
|
| | assistant turn flags | `harness_text` (truncation notice), `empty_think`, `over_turn_limit` (> 4,096 tokens), `nudge_echo` (see below) |
|
|
|
| ## Loss and rendering contract
|
|
|
| * Render every completion turn verbatim as `<|im_start|>assistant\n<think>\n` + `content` +
|
| `<|im_end|>`; do not pass it through the chat template.
|
| * When a turn is supervised, its context should hold earlier turns **as production renders them**:
|
| the chat template drops earlier reasoning, so the model never sees its past thinking.
|
| * `loss: false` on the prompt, observations, harness notices, turns with an empty think block,
|
| turns over 4,096 tokens, and `nudge_echo` turns: GLM turns (254 of
|
| 2875) whose visible answer repeated the headings of the generation-time
|
| reasoning instruction.
|
|
|
| ## Thinking audit
|
|
|
| | | GLM turns | King turns |
|
| |---|---:|---:|
|
| | assistant turns | 2875 | 2837 |
|
| | supervised | 2618 | 2832 |
|
| | close the think block | 100.0% | 99.7% |
|
| | empty think block | 2 | 0 |
|
| | median turn length (Qwen3.6 tokens) | 521 | 534 |
|
|
|
| GLM reasons longer than the King on average (about 490 vs 360 reasoning tokens per turn on these
|
| tasks).
|
|
|
| ## Caveats
|
|
|
| * Small: meant as a signal test before scaling up.
|
| * GLM was scored by a local run of the judge, the King by production; on re-judged King rollouts
|
| the local judge differed from production by about 0.06 on average, hence the 0.15 margin.
|
| * Observations are simulated (grounded where the command could be executed on the snapshot).
|
| * In `vinhable/vinhable_double`, pairs of the same task share the GLM side.
|
|
|
