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Datasets:
Stemson-AI
/
Warwick-STEM

Tasks:
Image-to-Image
Unconditional Image Generation
Modalities:
Image
Text
Formats:
webdataset
Size:
10K - 100K
Tags:
microscopy
electron-microscopy
STEM
materials-science
webdataset
Libraries:
Datasets
WebDataset
License:
Dataset card Data Studio Files
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  1. README.md +21 -47
  2. train-0014.tar +3 -0
  3. train-0017.tar +3 -0
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README.md CHANGED
@@ -8,37 +8,17 @@ tags:
8
  - electron-microscopy
9
  - STEM
10
  - materials-science
 
11
  size_categories:
12
  - 10K<n<100K
13
  configs:
14
  - config_name: default
15
  data_files:
16
  - split: train
17
- path:
18
- - metadata.csv
19
- dataset_info:
20
- features:
21
- - name: file_name
22
- dtype: image
23
- - name: original_filename
24
- dtype: string
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- - name: width
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- dtype: int32
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- - name: height
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- dtype: int32
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- - name: dtype
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- dtype: string
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- - name: min_value
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- dtype: float32
33
- - name: max_value
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- dtype: float32
35
- - name: mean_value
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- dtype: float32
37
- - name: std_value
38
- dtype: float32
39
  ---
40
 
41
- # Warwick STEM Dataset
42
 
43
  A collection of 19,769 experimental scanning transmission electron microscopy (STEM) images from the University of Warwick, spanning hundreds of diverse materials projects collected between 2010 and 2018.
44
 
@@ -46,23 +26,18 @@ A collection of 19,769 experimental scanning transmission electron microscopy (S
46
 
47
  This dataset contains experimental STEM images originally published as part of the [Warwick Electron Microscopy Datasets](https://github.com/Jeffrey-Ede/datasets) by Jeffrey Ede. The images cover a wide range of materials and imaging conditions, making them useful for self-supervised pre-training of microscopy foundation models.
48
 
49
- ## Dataset Structure
50
 
51
- ```
52
- warwick_stem_dataset/
53
- ├── README.md
54
- ├── metadata.csv
55
- └── images/
56
- ├── warwick_stem_00000.tif
57
- ├── warwick_stem_00001.tif
58
- └── ... (19,769 images)
59
- ```
60
 
61
  ### Metadata Fields
62
 
63
  | Field | Type | Description |
64
  |-------|------|-------------|
65
- | `file_name` | string | Relative path to the TIFF image |
66
  | `original_filename` | string | Original filename from the Warwick dataset |
67
  | `width` | int | Image width in pixels |
68
  | `height` | int | Image height in pixels |
@@ -74,26 +49,25 @@ warwick_stem_dataset/
74
 
75
  ### Image Properties
76
 
 
77
  - **Format:** 32-bit float TIFF
78
- - **Resolutions:** Mixed, predominantly 2048x2048 (47%), 1024x1024 (34%), and 512x512 (9%), with various other sizes
79
  - **Modality:** STEM (various detector configurations)
80
- - **Instruments:** Multiple instruments across the University of Warwick (2010-2018)
81
-
82
- ### Resolution Distribution
83
-
84
- | Resolution | Count | Percentage |
85
- |------------|-------|------------|
86
- | 2048x2048 | 7,950 | 40% |
87
- | 1024x1024 | 6,716 | 34% |
88
- | 512x512 | 3,082 | 16% |
89
- | Other | 2,021 | 10% |
90
 
91
  ## Usage
92
 
93
  ```python
94
- from datasets import load_dataset
 
 
 
 
 
95
 
96
- ds = load_dataset("path/to/warwick_stem_dataset")
 
 
97
  ```
98
 
99
  ## Source
 
8
  - electron-microscopy
9
  - STEM
10
  - materials-science
11
+ - webdataset
12
  size_categories:
13
  - 10K<n<100K
14
  configs:
15
  - config_name: default
16
  data_files:
17
  - split: train
18
+ path: "train-*.tar"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19
  ---
20
 
21
+ # Warwick STEM Dataset (WebDataset)
22
 
23
  A collection of 19,769 experimental scanning transmission electron microscopy (STEM) images from the University of Warwick, spanning hundreds of diverse materials projects collected between 2010 and 2018.
24
 
 
26
 
27
  This dataset contains experimental STEM images originally published as part of the [Warwick Electron Microscopy Datasets](https://github.com/Jeffrey-Ede/datasets) by Jeffrey Ede. The images cover a wide range of materials and imaging conditions, making them useful for self-supervised pre-training of microscopy foundation models.
28
 
29
+ ## Format
30
 
31
+ WebDataset format: 170 TAR shards (~1 GB each), 160 GB total.
32
+
33
+ Each sample in a shard contains:
34
+ - `{idx:06d}.tif` — 32-bit float TIFF image
35
+ - `{idx:06d}.json` — metadata
 
 
 
 
36
 
37
  ### Metadata Fields
38
 
39
  | Field | Type | Description |
40
  |-------|------|-------------|
 
41
  | `original_filename` | string | Original filename from the Warwick dataset |
42
  | `width` | int | Image width in pixels |
43
  | `height` | int | Image height in pixels |
 
49
 
50
  ### Image Properties
51
 
52
+ - **Count:** 19,769
53
  - **Format:** 32-bit float TIFF
54
+ - **Resolutions:** Mixed — 2048x2048 (40%), 1024x1024 (34%), 512x512 (16%), other (10%)
55
  - **Modality:** STEM (various detector configurations)
56
+ - **Instruments:** Multiple instruments at the University of Warwick (2010–2018)
 
 
 
 
 
 
 
 
 
57
 
58
  ## Usage
59
 
60
  ```python
61
+ import webdataset as wds
62
+ from torch.utils.data import DataLoader
63
+
64
+ url = "path/to/warwick_stem_wds/train-{0000..0169}.tar"
65
+ dataset = wds.WebDataset(url).decode().shuffle(1000)
66
+ dataloader = DataLoader(dataset, batch_size=32, num_workers=4)
67
 
68
+ for sample in dataloader:
69
+ image = sample[".tif"]
70
+ metadata = sample[".json"]
71
  ```
72
 
73
  ## Source
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