| --- |
| license: apache-2.0 |
| task_categories: |
| - text-classification |
| language: |
| - vi |
| - ko |
| pretty_name: julia-1-swe training and evaluation data |
| size_categories: |
| - 10K<n<100K |
| tags: |
| - synthetic |
| - ticket-triage |
| - sdlc |
| - multilingual |
| - zorch |
| configs: |
| - config_name: default |
| data_files: |
| - {split: train, path: data/train_union/train.jsonl} |
| - {split: validation, path: data/train_union/validation.jsonl} |
| - config_name: eval_tasks |
| data_files: |
| - {split: r118, path: data/eval_tasks/r118.jsonl} |
| - {split: r119, path: data/eval_tasks/r119.jsonl} |
| - {split: r121, path: data/eval_tasks/r121.jsonl} |
| - config_name: r118 |
| data_files: |
| - {split: train, path: data/r118/train.jsonl} |
| - {split: validation, path: data/r118/validation.jsonl} |
| - {split: validation_hard, path: data/r118/validation_hard.jsonl} |
| - config_name: r119 |
| data_files: |
| - {split: validation, path: data/r119/validation.jsonl} |
| - {split: validation_hard, path: data/r119/validation_hard.jsonl} |
| - config_name: r120 |
| data_files: |
| - {split: train, path: data/r120/train.jsonl} |
| - {split: augmentation, path: data/r120/augmentation.jsonl} |
| - config_name: r121 |
| data_files: |
| - {split: validation, path: data/r121/validation.jsonl} |
| - {split: validation_hard, path: data/r121/validation_hard.jsonl} |
| - config_name: r122 |
| data_files: |
| - {split: train, path: data/r122/train.jsonl} |
| - {split: augmentation, path: data/r122/augmentation.jsonl} |
| - config_name: r126 |
| data_files: |
| - {split: train, path: data/r126/train.jsonl} |
| - {split: augmentation, path: data/r126/augmentation.jsonl} |
| - config_name: r132 |
| data_files: |
| - {split: train, path: data/r132/train.jsonl} |
| - {split: augmentation, path: data/r132/augmentation.jsonl} |
| - config_name: r133 |
| data_files: |
| - {split: train, path: data/r133/train.jsonl} |
| - {split: augmentation, path: data/r133/augmentation.jsonl} |
| - config_name: r134 |
| data_files: |
| - {split: train, path: data/r134/train.jsonl} |
| - {split: augmentation, path: data/r134/augmentation.jsonl} |
| --- |
| |
| # julia-1-swe-data |
|
|
| The exact training and evaluation data for [niko0xdev/julia-1-swe](https://huggingface.co/niko0xdev/julia-1-swe), a Zorch SDLC ticket triage model with three classification heads: **role**, **action** and **risk**. All data is synthetic: generated Vietnamese (with and without diacritics) and Korean ticket titles. No real tickets were used. |
|
|
| The rows come from the `data/v3/noisy_vi_ko_compositional_r118` to `r134` rounds of the [julia-1-zorch](https://github.com/niko0xdev/julia-1-zorch) repository. |
|
|
| ## What was used for julia-1-swe |
|
|
| | Config / split | Rows | Used for julia-1-swe | |
| |---|---|---| |
| | `default` / `train` | 63,324 | **Training** (R134 `train.jsonl` + R126 `augmentation.jsonl`, deduplicated) | |
| | `default` / `validation` | 3,564 | **Validation and checkpoint selection** (R118 + R119 + R121 `validation_hard`, 1,188 tasks x 3 heads) | |
| | `eval_tasks` / `r118`, `r119`, `r121` | 396 each | **Reported evaluation** (task-level, exact match over all three heads) | |
|
|
| The training union was built with `data/train_union/build_latest_union.py` (copied from `scripts/linux/build_latest_union.py`). It concatenates R134 `train.jsonl` (50,670 rows) and R126 `augmentation.jsonl` (12,672 rows), drops exact duplicates on (state, question, target), and removes any row whose normalized title appears in the evaluation sets (0 were removed). Result: 63,324 rows from 21,108 tickets. |
|
|
| ## Per-round configs |
|
|
| Each round is also provided on its own. "Contained in training" was checked by exact match of (state, question, target) against `default/train`. |
|
|
| | Config | Split | Rows | Contained in julia-1-swe training | Description | |
| |---|---|---|---|---| |
| | `r118` | train | 9,504 | Yes (100% of unique rows) | Base compositional training split (1,584 tasks, two title forms each) | |
| | `r118` | validation | 1,188 | No (evaluation) | 396 held-out label combinations | |
| | `r118` | validation_hard | 1,188 | No (evaluation) | Same rows as `validation`, used by the trainer interface | |
| | `r119` | validation | 1,188 | No (evaluation) | Holdout | |
| | `r119` | validation_hard | 1,188 | No (evaluation) | Same rows as `validation` | |
| | `r120` | train | 23,760 | Yes (100%) | R118 train plus compact, reordered, noisy augmentation | |
| | `r120` | augmentation | 14,256 | Yes (100%) | R120 augmentation rows only | |
| | `r121` | validation | 1,188 | No (evaluation) | Holdout with an explicit risk cue in every title | |
| | `r121` | validation_hard | 1,188 | No (evaluation) | Same rows as `validation` | |
| | `r122` | train | 37,998 | Yes (100%) | R120 train plus action-focused short titles | |
| | `r122` | augmentation | 14,238 | Yes (100%) | R122 augmentation rows only | |
| | `r126` | train | 50,670 | Yes (100%) | R122 train plus informal no-diacritic Vietnamese | |
| | `r126` | augmentation | 12,672 | **Yes, directly** | R126 augmentation rows only (part of the union) | |
| | `r132` | train | 41,166 | Yes (100%) | R122 train plus Korean `업무:` context titles | |
| | `r132` | augmentation | 3,168 | Yes (100%) | R132 augmentation rows only | |
| | `r133` | train | 47,502 | Yes (100%) | R122 train plus explicit-risk titles in holdout style | |
| | `r133` | augmentation | 9,504 | Yes (100%) | R133 augmentation rows only | |
| | `r134` | train | 50,670 | **Yes, directly** | R122 train plus R132 and R133 augmentations (part of the union) | |
| | `r134` | augmentation | 12,672 | Yes (100%) | R132 and R133 augmentation rows only | |
| |
| The training rounds are cumulative, so every training or augmentation file from R118 to R134 is a subset of `default/train`. None of the R118, R119 or R121 validation rows appear in training. Each round folder also has its `stats.json` and, where available, the generator notes as `NOTES.md`. Rounds R123 to R125 and R127 to R131 are not in the repository. |
| |
| ## Data structure |
| |
| ### Head rows (`default` and per-round configs) |
| |
| One row per ticket per head: |
| |
| ```json |
| {"meta": {"decision": "role", "language": "vi", "scenario_id": "r118-vi-product-implement-normal-v0", |
| "source": "synthetic_compositional_r118", "style": "shared_vocabulary_train", "variant": "paraphrase_0"}, |
| "options": ["product", "business_analysis", "research", "design", "frontend", "mobile", "backend", "data", "ai", "qa", "devops", "security"], |
| "question": "Which role should own this task?", |
| "state": {"title": "làm mới quy tắc gói cước cho khách hàng mới"}, |
| "target": 0, "type": "choice"} |
| ``` |
| |
| | Field | Description | |
| |---|---| |
| | `state.title` | Ticket title (the only input field in this data) | |
| | `question` | Head question: role, action or risk (see Labels) | |
| | `options` | Label list for the head | |
| | `target` | Index of the correct label in `options` | |
| | `type` | Always `choice` | |
| | `meta.decision` | Head: `role`, `action` or `risk` | |
| | `meta.language` | `vi`, `vi_nodiac` (Vietnamese without diacritics) or `ko` | |
| | `meta.scenario_id` | Generated scenario id (encodes round, language and labels) | |
| | `meta.source` | Generator round | |
| | `meta.style`, `meta.variant` | Title style and paraphrase variant | |
|
|
| ### Task rows (`eval_tasks`) |
| |
| One row per ticket with all three expected labels: |
| |
| ```json |
| {"expected": {"action": "implement", "risk": "security", "role": "product"}, |
| "meta": {"lang": "vi", "source": "synthetic_compositional_r118", "style": "shared_vocabulary_holdout"}, |
| "task": {"id": "r118-vi-product-implement-security", "title": "quy tắc gói cước cho khách hàng mới: làm mới bảo vệ tài khoản"}} |
| ``` |
| |
| ## Labels |
| |
| | Head | Question | Labels | |
| |---|---|---| |
| | role (12) | Which role should own this task? | product, business_analysis, research, design, frontend, mobile, backend, data, ai, qa, devops, security | |
| | action (11) | What kind of work is this task? | implement, document, fix, test, research, review, analyze, investigate, design, deploy, refactor | |
| | risk (5) | What is the main risk category of this task? | normal, production, security, data_sensitive, architecture | |
| |
| ### Label counts (tickets per label, `default` config) |
| |
| | role | train | validation | |
| |---|---|---| |
| | devops | 1,848 | 81 | |
| | design | 1,840 | 69 | |
| | business_analysis | 1,814 | 87 | |
| | qa | 1,808 | 93 | |
| | mobile | 1,778 | 96 | |
| | data | 1,760 | 99 | |
| | research | 1,757 | 96 | |
| | ai | 1,745 | 111 | |
| | backend | 1,729 | 102 | |
| | product | 1,713 | 111 | |
| | security | 1,665 | 123 | |
| | frontend | 1,651 | 120 | |
|
|
| | action | train | validation | |
| |---|---|---| |
| | fix | 2,086 | 69 | |
| | design | 2,044 | 72 | |
| | refactor | 1,956 | 102 | |
| | deploy | 1,952 | 105 | |
| | test | 1,914 | 111 | |
| | investigate | 1,900 | 111 | |
| | implement | 1,868 | 120 | |
| | research | 1,867 | 117 | |
| | analyze | 1,862 | 123 | |
| | review | 1,860 | 126 | |
| | document | 1,799 | 132 | |
|
|
| | risk | train | validation | |
| |---|---|---| |
| | production | 4,266 | 234 | |
| | architecture | 4,226 | 243 | |
| | security | 4,212 | 237 | |
| | data_sensitive | 4,208 | 240 | |
| | normal | 4,196 | 234 | |
| |
| ### Language split (head rows) |
| |
| | Language | train | validation | |
| |---|---|---| |
| | vi_nodiac (Vietnamese without diacritics) | 28,494 | 1,188 | |
| | ko | 18,990 | 1,188 | |
| | vi | 15,840 | 1,188 | |
|
|
| Each `eval_tasks` split has 132 tasks per language. |
|
|
| ### Styles in `default` |
|
|
| Train: compact_noisy_composition 14,256; action_focused_short 14,235; no_diacritic_short_noisy 12,672; explicit_risk_holdout_style 9,504; shared_vocabulary_train 9,489; shared_korean_work_context 3,168. Validation: shared_vocabulary_holdout (R118), reordered_shared_vocabulary (R119), explicit_risk_holdout (R121), 1,188 rows each. |
| |
| ## How the data was created |
| |
| - **R118** generates titles from shared role, action and risk phrase banks in three language forms, then holds out 20% of the label combinations per language for validation (seed 20261118). Every phrase cue used in validation also occurs in training. |
| - **R119** is a separate holdout in a reordered shared-vocabulary style (seed 20261119). |
| - **R121** is a holdout on the combinations reserved by R118, with titles not present in the R120 training file. Every title carries an explicit risk cue (seed 20261121). |
| - **R120, R122, R126, R132, R133, R134** are training-only augmentations that use only R118 training combinations: compact and noisy titles (R120), action-focused short titles (R122), informal no-diacritic Vietnamese with abbreviations and typos (R126), Korean `업무:` context (R132), explicit-risk titles in the R121 separator style (R133), and R132 + R133 together (R134). |
| - Per the generator notes, no real tickets or real test examples were read during generation. |
| - Of the 315 label combinations in the evaluation sets, 308 also occur in the training union, according to `data/train_union/stats.json`. |
|
|
| ## Intended use |
|
|
| - Reproducing or extending the julia-1-swe fine-tune. |
| - Benchmarking small multi-head triage classifiers on Vietnamese and Korean ticket titles. |
| - Not a measure of accuracy on real tickets. |
|
|
| ## Limitations |
|
|
| - **Synthetic only.** Titles are generated from phrase banks. They are short, title-only inputs with no descriptions or acceptance criteria. |
| - **Train and evaluation come from the same generator family.** The evaluation sets share vocabulary and phrase cues with training and hold out label combinations, not vocabulary. Scores measure in-distribution compositional generalization. 308 of the 315 evaluation label combinations also appear in training. |
| - **Small evaluation sets.** 396 tasks per set, 1,188 in total. |
| - **No English.** Despite the base model supporting English, this data contains only Vietnamese and Korean. |
| - **Cumulative rounds.** Per-round training files overlap heavily. Do not combine them without deduplicating. |
|
|
| ## Related |
|
|
| - Model: [niko0xdev/julia-1-swe](https://huggingface.co/niko0xdev/julia-1-swe) |
| - Code: [niko0xdev/julia-1-zorch](https://github.com/niko0xdev/julia-1-zorch) |
| - Related dataset with the same label schema (not used to train julia-1-swe): [niko0xdev/zorch-triage-dataset](https://huggingface.co/datasets/niko0xdev/zorch-triage-dataset) |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{julia1swedata2026, |
| title = {julia-1-swe-data: Synthetic Vietnamese and Korean SDLC Ticket Triage Data}, |
| author = {niko0xdev}, |
| year = {2026}, |
| howpublished = {\url{https://huggingface.co/datasets/niko0xdev/julia-1-swe-data}} |
| } |
| ``` |
|
|
