| --- |
| pretty_name: AnimeName |
| license: other |
| language: |
| - ja |
| - zh |
| - en |
| task_categories: |
| - token-classification |
| --- |
| |
| # AnimeName |
|
|
| Weak-labeled anime filename datasets for training filename parsers. |
|
|
| ## Contents |
|
|
| - `dmhy_weak.jsonl`: weak labels exported from the local DMHY SQLite crawl snapshot |
| - `dmhy_weak_char.jsonl`: the same DMHY weak labels projected to one Unicode |
| code point per token for character-level training |
| - `mixed_train.jsonl`: 100K synthetic templates mixed with DMHY weak labels |
| - `ab_mix_100k.jsonl`: balanced 50K synthetic + 50K DMHY A/B comparison subset |
| - `*.manifest.json`: export waterlines, sample counts, and label stats |
| - `vocab.json`: regex tokenizer vocab for the main parser snapshot |
| - `vocab.char.json`: full DMHY character tokenizer vocab |
| - `vocab.char.ab100k.json`: character tokenizer vocab for the A/B experiment |
|
|
| ## Snapshot
|
|
|
| - Export source: `D:\WorkSpace\Python\dmhy-parser\dmhy_anime.db`
|
| - DB max `files.id`: `1675184`
|
| - Last exported `files.id`: `1675184`
|
| - Next incremental export: `--min-id 1675185`
|
| - Weak-labeled samples: `632002` |
| - Character weak-labeled samples: `632002` |
| - Full mixed training set: `732002` |
| - A/B balanced subset: `100000` |
|
|
| ### Character-token DMHY Export |
|
|
| `dmhy_weak_char.jsonl` was generated directly from `dmhy_weak.jsonl` by |
| splitting every labeled token into characters and projecting BIO labels: |
|
|
| - `B-X`: first character keeps `B-X`, remaining characters become `I-X` |
| - `I-X`: every character stays `I-X` |
| - `O`: every character stays `O` |
|
|
| The full DMHY weak dataset contains **6195 unique characters**. With the four |
| special tokens (`[PAD]`, `[UNK]`, `[CLS]`, `[SEP]`), `vocab.char.json` has |
| **6199 entries** and covers **100%** of character-token occurrences. The |
| sequence length distribution is p50=60, p90=83, p95=91, p99=107, max=170 |
| characters. |
|
|
| ### v3 Export Notes (current)
|
|
|
| - Fixed ordinal season patterns: `3rd Season`, `4th Season` etc. now correctly
|
| captured as single tokens and labeled `B-SEASON` (was broken: tokenizer regex
|
| `\d+[sn][dt]` only matched `st`/`nd`, missed `rd`/`th`).
|
| - Fixed `第N部` (Chinese "Part N") season detection.
|
| - Bracket expansion splits mixed-content brackets (e.g. `[剑来 第2季]`) so that
|
| `第2季` is correctly labeled as `B-SEASON`.
|
| - Season labels total: **66,497** (+47.9% from original 44,964).
|
| - Wikipedia cross-reference verified — 3 multi-season anime checked:
|
| Wikipedia season data was retrieved and compared against the weak labels. All 3
|
| shows' season structures (S1 episode ranges, S2+, split-cours) were verified to
|
| match the labels produced by the heuristic pipeline.
|
| - **Jujutsu Kaisen**: S1(24eps 2020), S2(23eps 2023), S3(12eps 2026)
|
| - **Mushoku Tensei**: S1(23eps 2021), S2(25eps 2023-24)
|
| - **Re:Zero**: S1(25eps 2016), S2(25eps 2020-21), S3(16eps 2024-25)
|
| All explicit season markers (S1, S2, Season N, 第N季) in filenames for these
|
| anime match their Wikipedia season numbers. First seasons often omit markers
|
| (fansub convention), which the inference logic handles via proximity detection.
|
| - A small number of token sequences now show `I-GROUP` following an `O` separator
|
| (by design: `assign_bio` allows entity spans across separators).
|
|
|
| ### Known Limitations
|
|
|
| - **Zombie I- labels**: `config.json` defines `I-EPISODE`, `I-SEASON`, `I-SPECIAL`,
|
| `I-RESOLUTION`, and `I-SOURCE` labels, but they never appear in training data
|
| because the regex tokenizer keeps these entity types as single tokens. These 5
|
| unused classifier heads out of 15 total are harmless (~0.06% of parameters).
|
|
|
| ## Notes |
|
|
| The JSONL files are raw dataset snapshots. Model checkpoints are intentionally not included here.
|
|
|
