---
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`](https://huggingface.co/datasets/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.