README.md

metadata

license: other
task_categories:
  - text-generation
tags:
  - bittensor
  - sn120
  - affine
  - sft
size_categories:
  - 10K<n<100K

quillon-186cf379

SFT corpus for Bittensor SN120 (Affine), Reason v4 (weight_version_key=7).

This is iamPi/tessera-77d11909 with one change: a fixed cue is appended to the end of every thought.

tessera:  </think>\nTHOUGHT: {z}\n\n{y}
quillon:  </think>\nTHOUGHT: {z}\n\nNext bash command to run now:\n\n{y}

The row set is identical — same 18,138 turns, same prompts, same thoughts, same actions, same metadata columns. Removing the cue reconstructs tessera's completion column byte-for-byte. The two are therefore a clean A/B: any difference in downstream Reason is attributable to the cue and nothing else.

Why the cue sits there

The separator between the thought and the action at scoring time is hardcoded as \n\n inside the validator's inject_prompt(). split_rollout() strips trailing whitespace, so whatever a model emits, the parsed z_A ends at the cue and the teacher forces THOUGHT: {z}…now:\n\n{y}. Keeping the \n\n in the training target is the only construction where the string trained on is byte-identical to the string the teacher scores.

Columns

prompt (rendered with Qwen/Qwen3.5-9B's chat template, ending inside an open <think>), completion, plus turn_id, traj_id, source, language, phase, stratum, n_prefix_chars, n_prefix_tokens, teacher_lift, modal_share, n_pool_refs.

TRL prompt-completion format; use with SFTTrainer.

Known caveats

• 33 rows already exceeded the 1,792-token rollout budget (max_thought_tokens + max_action_tokens) in tessera; the cue adds 8 tokens and pushes 3 more over, for 36 of 18,138 (0.20%). Those targets are longer than a model can emit in one eval rollout.
• The cue contributes the tokens bash / command / run to z, which tips the validator's fuzzy leakage heuristic on 14 rows (0.08%) whose command literally invokes bash (e.g. cd /app/... && bash setup_core.sh). Those rows fail the teacher-side B licence at eval. Zero rows in tessera trip it.

Provenance

Derived from SN120's public duel artifacts and turn corpus. Built with scripts/retarget_thought_suffix.py, which re-parses every rewritten row with the validator's own split_rollout() and aborts on a single mismatch.