Datasets:

MaybeRichard
/

GenSegDataset

Tasks:

Image Segmentation

Languages:

English

Chinese

License:

Dataset card Files Files and versions

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Community

Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
                  raise ValueError(
                  ...<2 lines>...
                  )
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

GenSegDataset

English

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:

<dataset>/<protocol>/<split>/{images,masks}/
<dataset>/metadata.json
<dataset>/manifest.jsonl

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。

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>/<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
`busi`	`busi.tar`	17G	4535	fold01:545/78/157; fold02:545/78/157; fold03:546/78/156; fold04:547/78/155; fold05:547/78/155; synthonly:400/78/157
`consep`	`consep.tar`	88M	656	official:352/80/224
`cvc_clinicdb`	`cvc_clinicdb.tar`	938M	612	official:490/61/61
`cvc_colondb`	`cvc_colondb.tar`	50M	380	official:266/38/76
`drive`	`drive.tar`	1.8M	20	official:14/2/4
`endoscene`	`endoscene.tar`	107M	912	official:547/183/182
`etis_larib`	`etis_larib.tar`	30M	196	official:137/19/40
`fives`	`fives.tar`	311M	800	official:480/120/200
`ham10000`	`ham10000.tar`	1.7G	10015	holdout:7010/1002/2003
`idridd_segmentation`	`idridd_segmentation.tar`	3.6M	405	fold01:43/11/27; fold02:43/11/27; fold03:43/11/27; fold04:43/11/27; fold05:44/10/27
`kvasir_seg`	`kvasir_seg.tar`	17G	1000	official:800/100/100
`medsegdb_isic2018`	`medsegdb_isic2018.tar`	24G	5194	holdout:2582/369/737; synthonly:400/369/737
`medsegdb_kits19`	`medsegdb_kits19.tar`	1.3G	20080	fold01:2832/479/705; fold02:2966/231/819; fold03:3036/465/515; fold04:2854/286/876; fold05:2510/405/1101
`monuseg`	`monuseg.tar`	411M	816	official:496/96/224
`pannuke_semantic`	`pannuke_semantic.tar`	1.2G	23703	fold01:2722/2523/2656; fold02:2656/2722/2523; fold03:2523/2656/2722
`ph2`	`ph2.tar`	27M	200	holdout:140/20/40
`refuge2`	`refuge2.tar`	133M	1200	official:400/400/400
`udiat`	`udiat.tar`	17M	163	official:114/16/33

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

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。

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Total file size:

8.68 GB