| # **Qwen3.5-35B-A3B — v0.9 dataset** |
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| Last substantive update: 2026-08-04 |
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| **v0.9 is v0.7 with 38,145 assistant turns excluded from the loss. Nothing else |
| differs — same rows, same order, same content, same reasoning, same pack seed.** |
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| The design and its evidence are in `QWEN35_V0_9_DATASET_PLAN.md`. This file records |
| what was actually built, where it is, and how to check it. |
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| --- |
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| ## **Location — b200 cluster** |
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| /NHNHOME/WORKSPACE/wbl-workspace/agentic-rl-260803/datasets/v0.9/ |
| raw/v0_9_final.jsonl 742,665 rows, 34,528,993,378 bytes |
| packed-65k/train/ 137,384 packs in 8 parquet shards |
| provenance/mask-flags-v1.jsonl 38,145 records, one per masked turn |
| provenance/v0_9_build_report.json |
| provenance/v0_9_verify_report.json |
| provenance/census_v0_9_v2.json |
| provenance/*.py, *.sbatch the exact scripts that produced it |
| logs/ |
| |
| | artifact | SHA-256 | |
| |---|---| |
| | base `v0.7/raw/v0_7_final.jsonl` | `cd94b138f7988b81c48e12ff3b75559192ef7c4b48fdc2f86d076e48d830266d` | |
| | **`raw/v0_9_final.jsonl`** | `7f742b2b3c3ab569c007070ca7d17089cc03d1cf4fa9375cccd58dc305b62a2f` | |
| | staged v0.8 classifier flags | `a5d2f1f5999e7f03b495ff3e389656574c89a4e2830cb1e7bac3d0777299a0c1` | |
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| Superseded artifacts from the abandoned `--claim-policy correct` build are kept under |
| `superseded-correct-policy/`; they are not inputs to anything. |
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| --- |
|
|
| ## **What is masked** |
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| 38,145 turns across 33,291 rows — **5.1% of assistant turns in 4.5% of rows**. Reasons |
| overlap (most stalls are also malformed JSON), so each masked turn carries the set of |
| reasons it qualifies for. The per-reason totals sum to 66,420; the union is 38,145. |
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| - **32,836 `terminus-json`** — the Terminus-2 harness rejected the action object |
| - **28,292 `stall`** — empty content (28,270), no `commands` key (20), empty mini-swe |
| content (2) |
| - **3,116 `false-claim`** — final assistant turn asserting `task_complete: true` on a row |
| a trusted verifier failed (numeric non-bool reward, explicit `passed`, no infra |
| exception, not a known-broken verifier family). 84 further candidates also carried an |
| executable command and were left alone |
| - **1,385 `toolcall-syntax`** — malformed or schema-invalid tool call; 484 land on the |
| general-agent sources τ³ measures (API-Bank 478, Toucan 5, ToolACE 1) |
| - **791 `prose-command`** — mini-swe turns that write a command as prose instead of |
| executing it (727 of 738 `no-toolcall`, 64 of 305 `trailing-after-submit`) |
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| Combination counts: `stall+terminus-json` 28,275 · `terminus-json` alone 4,561 · |
| `false-claim` 3,116 · `toolcall-syntax` 1,385 · `prose-command` 791 · `stall` alone 17. |
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| ## **What is deliberately left trained** |
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| - **9,692 `rewrites`** — v0.7 has no masks and this is the most error-reactive class |
| (58.66%), while τ³ error recovery is the known weakness |
| - **252 prose-only mini-swe turns** — end-of-run summaries with no command text; v0.7 |
| trained them normally |
| - **200 `terminus-unparsable-harness-rejected`** turns that carry no `terminus-json` |
| class. The other 4,264 unparsable turns do carry it and are masked |
| - **796 rows that passed** contain 819 masked turns. This is intended: a stall inside a |
| trajectory that eventually passed is still a stall |
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| --- |
|
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| ## **How it was built** |
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| workflows/sft/v0_9/census_v0_9.py measure only, never mutates |
| workflows/sft/v0_9/build_v0_9.py one streaming pass over the base |
| workflows/sft/v0_9/verify_v0_9.py independent on-disk re-check |
| workflows/sft/v0_9/build_v0_9.sbatch b200 launcher (1:56 wall) |
| workflows/sft/v0_9/pack_v0_9.sbatch b200 pack at 65,536 |
| |
| Packed with the same artifacts that produced v0.7 and v0.8 on b300 — packer |
| `976ce4bb…`, `tokenizer.json` `06b95093…`, `chat_template.jinja` `f8a27a12…`, staged at |
| `agentic-rl-260803/env/qwen35-qwen36-thinking-generation-spans`. A 300-row sample |
| tokenizes to an identical digest on both clusters |
| (`1594220b35a637c8…`; transformers 5.8.1, tokenizers 0.22.2, megatron-bridge 0.5.0 on |
| each), so the b200 pack is not a different rendering of the corpus. |
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| **Seed 20260731 and 8 shards, matching v0.7**, on v0.7's row order — shard membership is |
| identical, so a v0.7↔v0.9 comparison is not confounded by a different packing. |
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| ## **Pack result, against v0.7** |
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| | | v0.7 | **v0.9** | delta | |
| |---|---:|---:|---:| |
| | rows in | 742,665 | 742,665 | 0 | |
| | rows packed | 742,661 | **742,656** | **−5** | |
| | packs | 137,387 | **137,384** | −3 | |
| | tokens | 8,978,973,597 | **8,978,945,130** | −28,467 | |
| | packing efficiency | 99.71% | **99.73%** | — | |
| | rows over 65,536 tokens | 4 | **4** | 0 | |
| | one epoch @ GBS16 | — | **8,587 steps** | — | |
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| **The whole difference is 5 rows, and they are accounted for.** `rows_over_max_len` is 4 |
| in both, which independently confirms no content grew or shrank; the extra 5 dropped rows |
| are `rows_fully_masked` — trajectories in which *every* assistant turn was a defect, so |
| nothing trainable survived. The packer drops those rather than emit a zero-loss sample. |
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| Loss coverage: **54,577,131 masked tokens against 3,408,327,232 trainable** — masking |
| removes **1.58%** of the assistant-target loss. Span integrity was clean: |
| `anomalies=0`, `turn_flags_on_non_assistant=0`, `span_turn_count_mismatch=0`, |
| `span_bad_start=0`, `span_multiple_headers=0`, so every mask landed on the token span it |
| was meant to. The validator additionally sampled 128 packs and read back 3,001,541 |
| assistant loss tokens. |
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| ## **Gates that passed** |
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| Build (`v0_9_build_report.json`): |
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| - base and flag digests re-checked at build time; output digest recorded |
| - 742,665 rows in, 742,665 out; no rows added, dropped or reordered |
| - every modified row compared against source-plus-declared-changes — an unintended edit |
| anywhere is a nonzero exit; 0 occurred |
| - 0 alignment anomalies: every flag resolved to an assistant turn |
| - per-reason counts equal to the census figures, exactly |
| - 4,963/4,963 untouched-row probes re-serialise byte-identically |
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| Verify (`v0_9_verify_report.json`), separate logic reading both files off disk: |
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| - **0 content corrections seen** — the only field that changed anywhere is |
| `step_loss_mask` |
| - the base carried no `step_loss_mask` of its own, so all 38,145 are this build's |
| - every masked turn's source content still matches the fingerprint recorded at build time |
| - every `false-claim` mask is the final assistant turn of a `passed == False` row whose |
| parsed object carried `task_complete: true` |
| - 0 errors |
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| Pack (`packed-65k/validation-summary.json`), `validate_qwen35_packed_dataset.py`: |
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| - 742,656 of 742,665 samples present, 9 dropped and both causes accounted for |
| - 137,384 packs at 65,536 tokens, 99.7262% efficiency |
| - 0 span anomalies of any kind; masks land on the intended token spans |
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| ## **Training** |
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| 3 epochs, TP2/EP8, MBS1/GBS16, LR 1e-5/1e-6, save every 500 steps. One epoch is **8,587 |
| steps** (137,384 packs / GBS 16) — the same as v0.7, whose 137,387 packs also round to |
| 8,587 — so matched-step comparisons against v0.7 are exact. Two epochs is **iter 17,174** |
| and three is **25,761**; with saves every 500, the nearest checkpoints are 17,000 and |
| 25,500. Point `packed_data_path` at `datasets/v0.9/packed-65k`. Evaluation contract, |
| hard floors and the checkpoint-selection rule are predeclared in |
| `QWEN35_V0_9_DATASET_PLAN.md` §5 — read it before scoring, not after. |
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