Update bilingual README

README.md

@@ -4,14 +4,17 @@ task_categories:
 - image-segmentation
 language:
 - en
+- zh
 pretty_name: GenSegDataset Processed Medical Segmentation Backup
 ---
 
 # GenSegDataset
 
-Processed and split medical image segmentation datasets used by the SegGen/NPJ experiments.
+## English
 
-Each `*.tar` expands to one dataset directory with the unified layout:
+This repository is a processed backup of medical image segmentation datasets used by the SegGen/NPJ experiments.
+
+Each `*.tar` archive expands to one dataset directory in the unified layout:
 
 ```text
 <dataset>/<protocol>/<split>/{images,masks}/
@@ -19,11 +22,39 @@ Each `*.tar` expands to one dataset directory with the unified layout:
 <dataset>/manifest.jsonl
 ```
 
-Splits are already prepared; archives contain extracted PNG image/mask pairs, not raw compressed source zips.
+The archives contain extracted and standardized PNG image/mask pairs. Splits are already prepared; users do not need to unzip original raw sources or create train/val/test splits again.
+
+Before upload, each dataset was checked for:
+
+- existing `train/val/test` split directories,
+- `images/` and `masks/` pairing by filename stem,
+- `metadata.json`,
+- `manifest.jsonl`.
+
+## 中文
+
+本仓库是 SegGen/NPJ 实验使用的医学图像分割数据集的已处理备份。
 
-## Inventory
+每个 `*.tar` 解压后都是一个已经标准化好的数据集目录，统一结构如下：
 
-| Dataset | Archive | Size on server | Total images across protocols | Protocols train/val/test |
+```text
+<dataset>/<protocol>/<split>/{images,masks}/
+<dataset>/metadata.json
+<dataset>/manifest.jsonl
+```
+
+这些压缩包中保存的是已经解压、标准化并划分好的 PNG 图像/掩码对，不是原始 raw zip。使用时不需要重新解压原始数据，也不需要重新划分 train/val/test。
+
+上传前已检查：
+
+- 是否存在 `train/val/test` 划分目录；
+- `images/` 与 `masks/` 是否按文件 stem 一一对应；
+- 是否存在 `metadata.json`；
+- 是否存在 `manifest.jsonl`。
+
+## Inventory / 数据清单
+
+| Dataset 数据集 | Archive 压缩包 | Server size 服务器大小 | Total images 总图像数 | Protocols train/val/test 划分 |
 |---|---:|---:|---:|---|
 | `acdc_png` | `acdc_png.tar` | 61M | 726 | official:136/210/380 |
 | `bus_bra` | `bus_bra.tar` | 171M | 1875 | official:1312/188/375 |
@@ -46,8 +77,24 @@ Splits are already prepared; archives contain extracted PNG image/mask pairs, no
 | `refuge2` | `refuge2.tar` | 133M | 1200 | official:400/400/400 |
 | `udiat` | `udiat.tar` | 17M | 163 | official:114/16/33 |
 
-## Notes
+## Task grouping / 任务分组
+
+| Modality 模态 | Dataset(s) 数据集 | Task 任务 |
+|---|---|---|
+| Dermoscopy 皮肤镜 | `medsegdb_isic2018`, `ham10000`, `ph2` | Skin lesion segmentation 皮肤病灶分割 |
+| Colonoscopy / Endoscopy 结肠镜/内镜 | `kvasir_seg`, `cvc_clinicdb`, `cvc_colondb`, `endoscene`, `etis_larib` | Polyp segmentation 息肉分割 |
+| Breast ultrasound 乳腺超声 | `busi`, `bus_bra`, `udiat` | Breast lesion segmentation 乳腺病灶分割 |
+| Fundus 眼底 | `fives`, `drive` | Vessel segmentation 血管分割 |
+| Fundus 眼底 | `refuge2` | Optic disc/cup segmentation 视盘/视杯分割 |
+| Fundus 眼底 | `idridd_segmentation` | Diabetic retinopathy lesion / optic disc segmentation 糖网病灶/视盘分割 |
+| Histopathology 病理 | `pannuke_semantic` | Semantic nuclei segmentation / cell typing 细胞核语义分割/分类 |
+| Histopathology 病理 | `monuseg`, `consep` | Nuclei segmentation 细胞核分割 |
+| CT | `medsegdb_kits19` | Kidney/tumor foreground segmentation 肾/肿瘤前景分割 |
+| MRI | `acdc_png` | Cardiac structure segmentation 心脏结构分割 |
+
+## Notes / 备注
 
-- The inventory file `HF_UPLOAD_INVENTORY.tsv` contains the same split/count audit in tabular form.
-- Image/mask stems were checked for alignment before upload.
-- Some archives are older backups; newly added archives were uploaded from `/home/wzhang/LSC/Dataset/Segmentation/processed_unified` on 2026-07-01.
+- `HF_UPLOAD_INVENTORY.tsv` contains the same split/count audit in tabular form.
+- `HF_UPLOAD_INVENTORY.tsv` 中保存了同样的划分和数量审计表。
+- Some older archives existed before this update; missing datasets were added from `/home/wzhang/LSC/Dataset/Segmentation/processed_unified` on 2026-07-01.
+- 部分旧压缩包在本次更新前已经存在；本次已从服务器 processed_unified 目录补齐缺失数据集。