Update consolidated stellarator dataset

README.md

@@ -16,39 +16,134 @@ configs:
 
 # SII Stellarator Configuration Dataset
 
+[中文](README.zh.md)
+
 **Wenyang Li** | PhD student, [Shanghai Innovation Institute](http://www.sii.edu.cn)
+
 [AI-Driven Controlled Fusion Simulation, Control & Design Lab](https://github.com/SII-AI4Fusion)
-Email: [lwydsg@mail.nankai.edu.cn](mailto:lwydsg@mail.nankai.edu.cn)
-Phone: [+86-156-2003-5216](tel:+86-156-2003-5216)
 
-[中文说明](README.zh.md)
+Email: [lwydsg@mail.nankai.edu.cn](mailto:lwydsg@mail.nankai.edu.cn) | Phone: [+86-156-2003-5216](tel:+86-156-2003-5216). License: CC BY 4.0.
 
 ## Overview
-This release consolidates stellarator boundary configurations and recorded physics evaluations, covering NFP 1–5. It replaces the previous 158,685-row release.
-The collection snapshot is dated 2026-09-23; schema version: `stellarator-1.1`.
 
-## Sources
-The original release was derived from [proxima-fusion/constellaration](https://huggingface.co/datasets/proxima-fusion/constellaration).
-This update also incorporates recorded sBO/CMA, traditional AL, earlier BO, DP, ExLLM and FusionLeague evaluations.
-Surrogate predictions and external leaderboard reference configurations are excluded.
+Stellarator boundary configurations and recorded physics evaluations, covering NFP 1-5.
+This replaces the earlier 158,685-row release.
+The original data came from [proxima-fusion/constellaration](https://huggingface.co/datasets/proxima-fusion/constellaration).
+New sources include sBO/CMA, traditional AL, earlier BO, DP, ExLLM and FusionLeague evaluations.
+Incremental maintenance also collects reviewed benchmark physics evaluations.
 
-## Contents
-| Group | Configurations | Parquet files |
+<!-- dataset-stats:start -->
+Collection updated (UTC, per-file snapshots): **2026-09-28**; schema: **stellarator-1.1**.
+
+| Directory | Configurations | Parquet shards |
 | --- | ---: | ---: |
-| main | 2,761,123 | 56 |
-| failed | 103,482 | 3 |
-
-The main group includes successful but constraint-violating evaluations; 321,768 rows have all nine metrics.
-The failed group contains identifiable configurations with failed evaluations. These groups are not training/test partitions; `train` is only the loader split name.
-
-## Format and Quality
-Original `boundary.*` and `metrics.*` column names are retained, with additional status, provenance and quality fields.
-Exact NFP and Fourier coefficients identify a configuration. One whole evaluation is retained; metrics are never combined across evaluations.
-Missing metrics are null. Most boundaries are 5×9; 28 configurations across both groups retain 8×15 matrices.
-Legacy absolute-only iota, reconstructed QI and limited boundary precision are explicitly flagged.
-Unlike the previous release, this release does not guarantee nine complete metrics or a fixed matrix shape for every row.
-See [the full format specification](FORMAT.md) for fields, conventions and reading examples.
-
-## Limitations
-Historical solver settings and metric availability vary. Successful evaluation does not imply physical feasibility.
-The records were consolidated without rerunning physics solvers. Account for missingness, quality flags and correlated optimization trajectories when constructing benchmarks.
+| `main/` | 2,775,699 | 56 |
+| `failed/` | 103,564 | 3 |
+
+**336,344** main rows have all nine metrics.
+<!-- dataset-stats:end -->
+
+The main table retains successful evaluations. Failed records are stored separately.
+
+## Fields and Quality
+
+Flat column names are retained. Missing values are **null**.
+
+| Fields | Type and meaning |
+| --- | --- |
+| `configuration_id`, `schema_version` | Strings: canonical configuration SHA-256 and format version |
+| `boundary.n_field_periods` | int64: NFP |
+| `boundary.r_cos`, `boundary.z_sin` | Nested float64 lists: stellarator-symmetric Fourier boundary |
+| `metrics.*` | Nine nullable float64 diagnostics listed below |
+| `evaluation.success` | Nullable bool; null means unknown, not failure |
+| `evaluation.error`, `.fidelity`, `.solver_version` | Nullable strings: original error and recorded evaluation settings |
+| `evaluation.feasibility` | Nullable float64: source score, not a universal constraint definition |
+| `source.name`, `.path`, `.record` | Strings: source family, relative file path, record locator |
+| `quality.iota_representation` | `signed`, `absolute_only` or `unknown` |
+| `quality.metric_count`, `.flags` | Count of finite metrics and list of quality/transformation flags |
+
+The `.field` abbreviations in a row retain that row's prefix, e.g. `source.path`.
+
+| Metric suffix after `metrics.` | Meaning |
+| --- | --- |
+| `aspect_ratio` | Aspect ratio |
+| `edge_rotational_transform_over_n_field_periods` | Edge iota divided by NFP |
+| `average_triangularity` | Average triangularity |
+| `max_elongation` | Maximum elongation |
+| `edge_magnetic_mirror_ratio` | Edge magnetic mirror ratio |
+| `vacuum_well` | Vacuum magnetic well |
+| `minimum_normalized_magnetic_gradient_scale_length` | L_delta_b |
+| `qi` | QI diagnostic, not log10(QI) |
+| `flux_compression_in_regions_of_bad_curvature` | Bad-curvature flux compression |
+
+- **Deduplication:** exact NFP plus canonical Fourier coefficients. Prefer successful, then unknown, then failed evaluations; within a status prefer more complete metrics, then deterministic source order.
+- **Boundary:** usually 5x9; higher-order matrices such as 8x15 are also retained. For `(M, 2N+1)`, rows are `m=0..M-1`, columns `n=-N..N`. Smaller supported grids are zero-padded; higher modes are preserved. Coefficients are not normalized or approximately rounded for deduplication.
+- **Use limits:** metric completeness does not establish physical feasibility or comparable solver fidelity.
+
+## Read the Data
+
+```python
+import pyarrow.dataset as ds
+data = ds.dataset("main", format="parquet")
+complete = data.to_table(filter=(ds.field("quality.metric_count") == 9)
+                        & (ds.field("evaluation.success") == True))
+```
+
+For signed-iota training also require `quality.iota_representation == "signed"`;
+for raw-QI-only studies exclude `qi_reconstructed_from_log10` in `quality.flags`.
+
+## Maintain the Dataset
+
+`FusionLeague/datasets/stellarator/` is the editing source: `main/`, `failed/`, these two READMEs and `tools/`.
+Edit here first; the external HF clone is only a publication copy. Tools and audit archives are not uploaded.
+**Step 1: update the source dataset on Linux.**
+
+Start from the `FusionLeague/` repository root:
+
+```bash
+cd datasets/stellarator && python tools/update_dataset.py
+```
+
+If dependencies are missing, run `python -m pip install -r tools/requirements.txt` once, then retry.
+Wait for a successful update before copying; do not update data while copying. Add `--dry-run` to inspect sources only.
+
+- **Sources:** automatically scan `methods/` for real `qi`/`qi_frontier` evaluation journals; skip quadratic/examples and duplicate run exports. Collect `benchmarks/qi_design/data` submissions only when review, result hash, submission identity and point inputs agree. Running or unapproved results are deferred. No solvers or surrogate inference run.
+- **Incremental merge:** index the current dataset on the first run, then remember completed log positions. Read new complete records, defer unfinished final lines, and apply the same exact deduplication/whole-record preference above. Unchanged sources are skipped; changed log prefixes are re-imported without deleting historical configurations. Revoked reviews do not automatically retract previously collected data.
+- **Output:** without winning additions/replacements, leave Parquet and READMEs unchanged. Otherwise export and fully verify a sorted dataset, replace `main/` and `failed/`, and refresh only the statistics blocks in both READMEs. Ingestion is incremental, but changed datasets are fully re-exported and verified.
+- **State and recovery:** `tools/.update-state/` holds the SQLite index, cursors, lock, latest summary, reports and previous published dataset. Only one updater may run. After an error/interruption, keep this state and rerun the same command to recover; do not manually remove its lock or edit/replace indexed Parquet files. Do not read/copy/push during installation or after an unfinished update.
+- **Resources and audit:** first indexing takes longer; allow space for the index, staged output and previous dataset in addition to current data. The latest `last_update.json` points to the report/verification/quarantine; invalid records are also kept in the index `issues` table. Review notices and quality/provenance before publication. Earlier publication backups are cleaned after a successful update; this is not a full version archive.
+
+The original full-source builder remains in `tools/build_dataset.py` for separate rebuilds; routine
+updates do not rescan all historical optimization directories. Original snapshot audits remain at
+`../_archive/stellarator-20260927/releases/20260923-full-v1/`. Local fixture tests:
+`python -m unittest discover -s tools -p 'test_*.py'`.
+
+## Publish to Hugging Face
+
+**One-time setup (skip if already cloned).** Install Git LFS and run from the parent of `FusionLeague/`, placing the two repositories side by side:
+
+```bash
+GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/SII-AI4Fusion/SII-Stellarator-Configuration-Dataset
+git -C SII-Stellarator-Configuration-Dataset lfs install --local
+```
+
+**Step 2: copy the update.** Start from `FusionLeague/datasets/stellarator/`, where Step 1 finished. The HF clone should be on `main` with no uncommitted changes; replace only its data and READMEs:
+
+```bash
+cd ../../../SII-Stellarator-Configuration-Dataset &&
+GIT_LFS_SKIP_SMUDGE=1 git pull --ff-only origin main &&
+git rm -r --ignore-unmatch -- main failed &&
+cp -r ../FusionLeague/datasets/stellarator/{main,failed,README.md,README.zh.md} . &&
+git add main failed README.md README.zh.md &&
+git diff --cached --stat
+```
+
+**Step 3: review and push.** Continue from the HF clone; skip if nothing changed, and resolve any error before continuing:
+
+```bash
+git commit -m "Update consolidated stellarator dataset" &&
+git lfs fsck HEAD &&
+git push origin main
+```
+
+Commands use Bash and the repository's existing Parquet LFS configuration. Only data and READMEs are copied, not tools or archives. Review data for public release and keep HF tokens out of documentation. Commit first, check LFS, then push only after success; old versions remain in commit history.

README.zh.md

@@ -2,21 +2,125 @@
 
 [English](README.md)
 
-**Wenyang Li**，上海创智学院博士生。
+**Wenyang Li**，上海创智学院博士生 | [Shanghai Innovation Institute](http://www.sii.edu.cn)
+
 [AI-Driven Controlled Fusion Simulation, Control & Design Lab](https://github.com/SII-AI4Fusion)
-联系邮箱：lwydsg@mail.nankai.edu.cn；电话：+86-156-2003-5216。
-许可证：CC BY 4.0。
-
-## 概述与来源
-本版替换此前的 158,685 条数据，收集快照日期为 2026-09-23，格式版本为 `stellarator-1.1`，覆盖 NFP 1–5。
-原版来源于 [proxima-fusion/constellaration](https://huggingface.co/datasets/proxima-fusion/constellaration)；新版合并已有 sBO/CMA、传统 AL、早期 BO、DP、ExLLM 和 FusionLeague 真实评估，不包含代理预测和外部榜单参考构型。
-
-## 数据与格式
-主表 `main/` 共 2,761,123 条、56 个分片，其中 321,768 条九项指标完整；失败表 `failed/` 共 103,482 条、3 个分片。两者不是训练集与测试集，加载时的 `train` 只是分区名称。
-沿用 `boundary.*`、`metrics.*`，增加状态、来源及质量字段。按 NFP 和傅里叶系数精确去重，每个构型保留一整条评估，不跨评估拼接指标。
-缺失指标为 null；大多数边界为 5×9，两表合计有 28 个构型保留 8×15 高阶矩阵。旧 iota 绝对值、重建 QI 和有限边界打印精度均有标记。
-新版不再保证每行九项指标完整或矩阵形状固定。字段、约定和读取示例见[格式说明](FORMAT.zh.md)。
-
-## 使用限制
-主表保留求解成功但违反约束的点，失败构型另存。求解成功不代表物理可行。
-历史求解设置与指标完整程度不同，本次没有重新运行物理求解器。构建评测集时应考虑缺失值、质量标记和优化轨迹内的样本相关性。
+
+邮箱：lwydsg@mail.nankai.edu.cn；电话：+86-156-2003-5216。许可证：CC BY 4.0。
+
+## 数据概览
+
+仿星器傅里叶边界及真实物理评估，覆盖 NFP 1–5，替换此前 158,685 条的版本。
+原始数据来自 [proxima-fusion/constellaration](https://huggingface.co/datasets/proxima-fusion/constellaration)，新增 sBO/CMA、传统 AL、早期 BO、DP、ExLLM 和 FusionLeague 评估。增量维护还收录经过审核的 benchmark 真实评估。
+
+<!-- dataset-stats:start -->
+收集更新日期（UTC，逐文件快照）：**2026-09-28**；格式：**stellarator-1.1**。
+
+| 目录 | 构型数 | Parquet 分片 |
+| --- | ---: | ---: |
+| `main/` | 2,775,699 | 56 |
+| `failed/` | 103,564 | 3 |
+
+主表中 **336,344** 条九项指标完整。
+<!-- dataset-stats:end -->
+
+主表保留求解成功的点。失败记录另存。
+
+## 字段和质量
+
+采用扁平列名。缺失值为 **null**。
+
+| 字段 | 类型与含义 |
+| --- | --- |
+| `configuration_id`、`schema_version` | 字符串：规范化构型 SHA-256、格式版本 |
+| `boundary.n_field_periods` | int64：NFP |
+| `boundary.r_cos`、`boundary.z_sin` | 嵌套 float64 列表：仿星器对称傅里叶边界 |
+| `metrics.*` | 以下九项可空 float64 指标 |
+| `evaluation.success` | 可空布尔值；null 表示状态未知，不等于失败 |
+| `evaluation.error`、`.fidelity`、`.solver_version` | 可空字符串：原始错误、已有评估设置 |
+| `evaluation.feasibility` | 可空 float64：来源分数，不是统一约束口径 |
+| `source.name`、`.path`、`.record` | 字符串：来源类别、相对文件路径、记录位置 |
+| `quality.iota_representation` | `signed`、`absolute_only` 或 `unknown` |
+| `quality.metric_count`、`.flags` | 有限指标数量、质量和变换标记列表 |
+
+表内 `.字段` 的简写沿用同一行前缀，例如 `source.path`。
+
+| `metrics.` 后的字段名 | 含义 |
+| --- | --- |
+| `aspect_ratio` | 环径比 |
+| `edge_rotational_transform_over_n_field_periods` | 边缘 iota / NFP |
+| `average_triangularity` | 平均三角度 |
+| `max_elongation` | 最大拉长比 |
+| `edge_magnetic_mirror_ratio` | 边缘磁镜比 |
+| `vacuum_well` | 真空磁阱 |
+| `minimum_normalized_magnetic_gradient_scale_length` | L_delta_b |
+| `qi` | QI 指标，不是 log10(QI) |
+| `flux_compression_in_regions_of_bad_curvature` | 坏曲率区域磁通压缩 |
+
+- **去重：**按 NFP 和规范化后的傅里叶系数精确识别构型。优先成功、其次未知、最后失败；同状态优先指标完整，再按固定来源顺序选取。
+- **边界：**通常为 5×9，也保留 8×15 等高阶矩阵。对于 `(M, 2N+1)`，行对应 `m=0..M-1`，列对应 `n=-N..N`。支持的较小网格补零，高阶模态不截断；不会归一化系数或近似四舍五入去重。
+- **使用限制：**指标完整不代表物理可行或求解精度一致。
+
+## 读取数据
+
+```python
+import pyarrow.dataset as ds
+data = ds.dataset("main", format="parquet")
+complete = data.to_table(filter=(ds.field("quality.metric_count") == 9)
+                        & (ds.field("evaluation.success") == True))
+```
+
+训练带符号 iota 时再要求 `quality.iota_representation == "signed"`；只研究原始 QI 时排除 `quality.flags` 中带 `qi_reconstructed_from_log10` 的记录。
+
+## 维护数据
+
+`FusionLeague/datasets/stellarator/` 是唯一编辑源，保留 `main/`、`failed/`、中英文 README 和 `tools/`。先在这里编辑，再复制到外部 HF clone 发布；工具和审计归档不上传。
+
+**第一步：在 Linux 云端更新源数据集。**
+
+从 `FusionLeague/` 仓库根目录开始执行：
+
+```bash
+cd datasets/stellarator && python tools/update_dataset.py
+```
+
+首次缺少依赖时，执行 `python -m pip install -r tools/requirements.txt` 后重试。
+更新成功结束后再复制发布；复制期间不要同时更新数据。只检查来源可加 `--dry-run`。
+
+- **数据来源：**自动扫描 `methods/` 中真实的 `qi`/`qi_frontier` 评估日志，跳过 quadratic/示例及同一运行的重复导出。`benchmarks/qi_design/data` 仅收录审核记录、结果哈希、提交身份和逐点输入相互吻合的评估；运行中或未通过审核的结果暂不收录。不启动求解器或代理预测。
+- **增量合并：**首次给现有数据建立索引，之后记录日志已完成的位置，只解析新增完整记录，未写完的末行留到下次。沿用上述精确去重和整条记录择优规则。未变化的来源跳过；日志前缀被改写则重新收录，但不删除历史构型。审核撤销不会自动撤回已经收录的数据。
+- **更新结果：**没有胜出的新增或替换记录，就不改 Parquet 和 README；有变化则完整导出、校验并替换 `main/`、`failed/`，只更新中英文 README 的统计区块。读取来源是增量的，有数据变化时导出和校验仍覆盖整个数据集。
+- **状态与恢复：**索引、读取位置、锁、最近汇总、报告和上一版数据统一放在 `tools/.update-state/`，同一时刻只允许一个更新进程。报错或中断后保留状态，重新执行同一命令恢复；不要手动删除锁或修改、替换已建索引的 Parquet。安装新数据期间以及更新未完成时，不要读取、复制或 push。
+- **空间与核查：**首次建索引较慢，除当前数据外还需预留索引、新版暂存和上一版数据的空间。最近的 `last_update.json` 给出报告路径，同目录包含校验和异常清单；无效记录也保存在索引的 `issues` 表中。发布前检查提示、质量和来源。成功更新后清理更早的本地备份，不保留完整版本档案。
+
+原来的 `tools/build_dataset.py` 仍供单独全量重建使用；日常更新不重复扫描全部历史优化目录。最初快照审计仍在 `../_archive/stellarator-20260927/releases/20260923-full-v1/`。本地样例测试：`python -m unittest discover -s tools -p 'test_*.py'`。
+
+## 发布到 Hugging Face
+
+**首次准备（已有 clone 就跳过）。** 安装 Git LFS，并在 `FusionLeague/` 的上一级目录执行，让两个仓库并排放置：
+
+```bash
+GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/SII-AI4Fusion/SII-Stellarator-Configuration-Dataset
+git -C SII-Stellarator-Configuration-Dataset lfs install --local
+```
+
+**第二步：复制新版。** 从第一步结束后的 `FusionLeague/datasets/stellarator/` 目录执行。HF clone 应位于 `main` 且没有未提交改动；只替换其数据和 README：
+
+```bash
+cd ../../../SII-Stellarator-Configuration-Dataset &&
+GIT_LFS_SKIP_SMUDGE=1 git pull --ff-only origin main &&
+git rm -r --ignore-unmatch -- main failed &&
+cp -r ../FusionLeague/datasets/stellarator/{main,failed,README.md,README.zh.md} . &&
+git add main failed README.md README.zh.md &&
+git diff --cached --stat
+```
+
+**第三步：确认后推送。** 继续在 HF clone 中执行；没有改动就跳过，有报错先处理：
+
+```bash
+git commit -m "Update consolidated stellarator dataset" &&
+git lfs fsck HEAD &&
+git push origin main
+```
+
+命令使用 Bash，Parquet 沿用仓库已有的 LFS 配置。仅复制数据和 README，不上传工具或归档。发布前核对数据是否适合公开；HF Token 不写进文档。先 commit，再校验 LFS，通过后才 push；旧版本保留在提交历史中。

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