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| license: apache-2.0 | |
| task_categories: [text-generation] | |
| tags: [dynamic-chunking, tokenization, hnet, boundaries, training-dynamics] | |
| # H-Net chunker boundary probes | |
| Longitudinal boundary decisions for 31 H-Net runs, logged on a **fixed, byte-identical** | |
| FLORES+ probe at every checkpoint. This is the raw material for studying *when* a learned | |
| segmentation stabilises. | |
| ## Layout | |
| `<run>/{step:06d}__{lang}.npz`, plus `<run>/probe_text.jsonl` (the raw probe text, so byte | |
| offsets can be aligned to external gold data). | |
| - **40 log-spaced steps**: 0, 1, 2, 4, 8, 16, 32, 64, 128, 200, then every 200 to 6000. | |
| The early log-spacing is deliberate — uniform 200-step spacing misses the sharp early | |
| transitions, and it cannot be recovered after a run. | |
| - **12 languages**: de, el, en, fi, hi, my, ru, ta, th, tr, vi, zh | |
| - 481 files per run (`jitter_*` runs have 157; they were logged at a coarser cadence). | |
| ### npz keys | |
| | key | shape | meaning | | |
| |---|---|---| | |
| | `mask` | `(L,) uint8` | 1 = a unit boundary falls before this byte | | |
| | `score` | `(L,) float32` | the router's continuous boundary probability | | |
| | `sent_offsets` | `(n_sent+1,) int64` | byte offset of each probe sentence | | |
| | `bpb` | scalar | per-language bits-per-byte at this checkpoint | | |
| | `step` | scalar | training step | | |
| | `b_pad`, `p_pad`, `pad_mask` | `(128, 315)` | per-sentence padded views | | |
| **Known issue:** `mask` and `mask_level1` (and `score`/`score_level1`) are byte-for-byte | |
| identical — the two-level logging wrote the same level twice, so per-level word-vs-morph | |
| typing cannot be done from these dumps. For Thai, `len(mask)` exceeds the probe byte length | |
| by 21 bytes. Both are logging bugs, recorded here rather than silently patched. | |
| ## Caveats worth knowing before you use these | |
| - Boundaries are **phase-locked to a seed-arbitrary sub-character byte position**. Chunk | |
| starts land on a UTF-8 character boundary 29–31% of the time against a 33% chance rate | |
| (verified independently against the span dumps, not just the mask). | |
| - 20 of 36 language-seed pairs have **not** converged by step 6000, so a step-6000 analysis | |
| is measuring an unconverged segmentation for the low-resource half. | |
| - Probe text decoded with `errors="ignore"` no longer byte-aligns to the mask for truncated | |
| sentences (up to 35/128 for `my`); drop those rather than assume alignment. | |
| Companion [models](https://huggingface.co/AdaptiveChunking/hnet-chunking-pilots) and | |
| [results](https://huggingface.co/datasets/AdaptiveChunking/hnet-chunking-results). | |