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Update dataset card and file table

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  1. README.md +37 -33
  2. files.jsonl +190 -0
README.md CHANGED
@@ -3,29 +3,33 @@ license: other
3
  license_name: sdrbench
4
  license_link: https://sdrbench.github.io/
5
  pretty_name: "SDRBench: CESM-ATM"
6
- viewer: false
7
  tags:
8
  - scientific-data
9
  - lossy-compression
10
  - sdrbench
11
  - hpc
12
  - sz3
 
 
 
 
13
  ---
14
 
15
  # SDRBench — CESM-ATM
16
 
17
- Climate simulation (Community Earth System Model, atmosphere component). 79 2D fields of 1800x3600, plus one 3D field of 26x1800x3600; single precision. The 'cleared' variant zeroes all background data.
18
 
19
- This repository is an **unmodified mirror** of the CESM-ATM dataset from
20
- [SDRBench](https://sdrbench.github.io/datasets.html), the Scientific Data Reduction Benchmark. The originals are hosted by
21
- Argonne National Laboratory on Globus; every archive was unpacked and its files uploaded
22
- byte-for-byte (sha256 verified). `metadata/` holds the original SDRBench property and template
23
- files. The mirror is kept in sync automatically by
 
24
  [szcompressor/sdrbench](https://github.com/szcompressor/sdrbench).
25
 
26
- - **Data source:** Mark Taylor (SNL)
27
- - **Total size:** 26.3 GB
28
- - **Format:** raw little-endian binary, C order (slowest dimension first)
29
 
30
  ## Usage
31
 
@@ -38,7 +42,7 @@ import numpy as np
38
  import sdrbench
39
  from pysz import sz, szConfig, szErrorBoundMode
40
 
41
- ds = sdrbench.dataset("cesm-atm") # default variant: 2d
42
  print(ds.fields)
43
  x = ds["AEROD_v"] # numpy array, dtype <f4, shape (1800, 3600)
44
 
@@ -52,26 +56,27 @@ max_err, psnr, nrmse = sz.verify(np.asarray(x), y)
52
  print(f"ratio {ratio:.1f}x, PSNR {psnr:.1f} dB, max error {max_err:.3g}")
53
  ```
54
 
55
- Other variants: `sdrbench.dataset("cesm-atm", "2d-cleared")` (all: `2d-cleared`, `3d`).
56
-
57
- Files are downloaded on first use and cached; if Hugging Face is unreachable the package falls
58
- back to the original archive on Globus.
59
 
60
- Without the package, any file can be read with `huggingface_hub` and numpy:
61
 
62
  ```python
63
  from huggingface_hub import hf_hub_download
64
  import numpy as np
65
- p = hf_hub_download("sdrbench/cesm-atm", "1800x3600/AEROD_v_1_1800_3600.f32", repo_type="dataset")
66
  x = np.fromfile(p, dtype="<f4").reshape((1800, 3600))
67
  ```
68
 
69
- ## Contents
70
 
71
 
72
  ### `2d` (default)
73
 
74
- 79 files, 2.0 GB, from [SDRBENCH-CESM-ATM-1800x3600.tar.gz](https://g-d0cd3f.fd635.8443.data.globus.org/raw-data/CESM-ATM/SDRBENCH-CESM-ATM-1800x3600.tar.gz).
 
 
75
 
76
  | Field | dtype | Shape (C order) | File |
77
  |---|---|---|---|
@@ -85,13 +90,13 @@ x = np.fromfile(p, dtype="<f4").reshape((1800, 3600))
85
  | `FLNSC` | `<f4` | 1800 x 3600 | `1800x3600/FLNSC_1_1800_3600.f32` |
86
  | `FLNS` | `<f4` | 1800 x 3600 | `1800x3600/FLNS_1_1800_3600.f32` |
87
  | `FLNTC` | `<f4` | 1800 x 3600 | `1800x3600/FLNTC_1_1800_3600.f32` |
88
- | `FLNT` | `<f4` | 1800 x 3600 | `1800x3600/FLNT_1_1800_3600.f32` |
89
- | `FLUTC` | `<f4` | 1800 x 3600 | `1800x3600/FLUTC_1_1800_3600.f32` |
90
- | ... 67 more | | | |
91
 
92
  ### `2d-cleared`
93
 
94
- 78 files, 2.0 GB, from [SDRBENCH-CESM-ATM-cleared-1800x3600.tar.gz](https://g-d0cd3f.fd635.8443.data.globus.org/raw-data/CESM-ATM/SDRBENCH-CESM-ATM-cleared-1800x3600.tar.gz).
 
 
95
 
96
  | Field | dtype | Shape (C order) | File |
97
  |---|---|---|---|
@@ -105,15 +110,15 @@ x = np.fromfile(p, dtype="<f4").reshape((1800, 3600))
105
  | `FLNSC` | `<f4` | 1800 x 3600 | `cleared-1800x3600/FLNSC_1_1800_3600.dat` |
106
  | `FLNS` | `<f4` | 1800 x 3600 | `cleared-1800x3600/FLNS_1_1800_3600.dat` |
107
  | `FLNTC` | `<f4` | 1800 x 3600 | `cleared-1800x3600/FLNTC_1_1800_3600.dat` |
108
- | `FLNT` | `<f4` | 1800 x 3600 | `cleared-1800x3600/FLNT_1_1800_3600.dat` |
109
- | `FLUTC` | `<f4` | 1800 x 3600 | `cleared-1800x3600/FLUTC_1_1800_3600.dat` |
110
- | ... 65 more | | | |
111
 
112
  Other files: `cleared-1800x3600/readme.txt`
113
 
114
  ### `3d`
115
 
116
- 33 files, 22.2 GB, from [SDRBENCH-CESM-ATM-26x1800x3600.tar.gz](https://g-d0cd3f.fd635.8443.data.globus.org/raw-data/CESM-ATM/SDRBENCH-CESM-ATM-26x1800x3600.tar.gz).
 
 
117
 
118
  | Field | dtype | Shape (C order) | File |
119
  |---|---|---|---|
@@ -127,13 +132,11 @@ Other files: `cleared-1800x3600/readme.txt`
127
  | `DCQ` | `<f4` | 26 x 1800 x 3600 | `26x1800x3600/DCQ_1_26_1800_3600.f32` |
128
  | `DTCOND` | `<f4` | 26 x 1800 x 3600 | `26x1800x3600/DTCOND_1_26_1800_3600.f32` |
129
  | `DTV` | `<f4` | 26 x 1800 x 3600 | `26x1800x3600/DTV_1_26_1800_3600.f32` |
130
- | `FICE` | `<f4` | 26 x 1800 x 3600 | `26x1800x3600/FICE_1_26_1800_3600.f32` |
131
- | `GCLDLWP` | `<f4` | 26 x 1800 x 3600 | `26x1800x3600/GCLDLWP_1_26_1800_3600.f32` |
132
- | ... 21 more | | | |
133
 
134
  ## Citation
135
 
136
- If you use this dataset, please cite SDRBench:
137
 
138
  ```bibtex
139
  @inproceedings{zhao2020sdrbench,
@@ -147,5 +150,6 @@ If you use this dataset, please cite SDRBench:
147
 
148
  ## License and terms
149
 
150
- The data are distributed under the same terms as on the [SDRBench website](https://sdrbench.github.io/datasets.html).
151
- Rights remain with the original data providers listed above.
 
 
3
  license_name: sdrbench
4
  license_link: https://sdrbench.github.io/
5
  pretty_name: "SDRBench: CESM-ATM"
 
6
  tags:
7
  - scientific-data
8
  - lossy-compression
9
  - sdrbench
10
  - hpc
11
  - sz3
12
+ configs:
13
+ - config_name: files
14
+ data_files: files.jsonl
15
+ default: true
16
  ---
17
 
18
  # SDRBench — CESM-ATM
19
 
20
+ Climate simulation with the Community Earth System Model (CESM), atmosphere component (CAM). Single precision.
21
 
22
+ > **Raw binary arrays, not an Arrow/Parquet dataset.** `datasets.load_dataset("sdrbench/cesm-atm")` returns the table of files (`files.jsonl`: path, dtype, shape, sha256). Read the arrays with the `sdrbench` package or `hf_hub_download` + numpy as shown below.
23
+
24
+ This repository is an **unmodified mirror** of the CESM-ATM data of [SDRBench](https://sdrbench.github.io/datasets.html), the
25
+ Scientific Data Reduction Benchmark. The originals are hosted by Argonne National Laboratory on Globus;
26
+ every archive was unpacked and its files uploaded byte-for-byte (sha256 verified) (revision `cb3cd3aef0`). `metadata/` holds
27
+ the original SDRBench property and template files. Kept in sync automatically by
28
  [szcompressor/sdrbench](https://github.com/szcompressor/sdrbench).
29
 
30
+ - **Data provider:** Mark Taylor (SNL)
31
+ - **Size:** 26.3 GB in 3 variant(s)
32
+ - **Format:** raw little-endian binary, C order (slowest dimension first); dtype and shape per field below
33
 
34
  ## Usage
35
 
 
42
  import sdrbench
43
  from pysz import sz, szConfig, szErrorBoundMode
44
 
45
+ ds = sdrbench.dataset("cesm-atm") # default variant "2d"
46
  print(ds.fields)
47
  x = ds["AEROD_v"] # numpy array, dtype <f4, shape (1800, 3600)
48
 
 
56
  print(f"ratio {ratio:.1f}x, PSNR {psnr:.1f} dB, max error {max_err:.3g}")
57
  ```
58
 
59
+ Files are fetched on first use (in parallel with `ds.download("data/")`) and cached, pinned to the revision
60
+ of the installed `sdrbench` release; if Hugging Face is unreachable the package falls back to the original
61
+ archive on Globus. Existing local SDRBench copies can be used with `sdrbench.dataset("cesm-atm", root="/path")`.
 
62
 
63
+ Without the package, with `huggingface_hub` and numpy only:
64
 
65
  ```python
66
  from huggingface_hub import hf_hub_download
67
  import numpy as np
68
+ p = hf_hub_download("sdrbench/cesm-atm", "1800x3600/AEROD_v_1_1800_3600.f32", repo_type="dataset", revision="cb3cd3aef008d4834903dc7aaba24207ca6876a8")
69
  x = np.fromfile(p, dtype="<f4").reshape((1800, 3600))
70
  ```
71
 
72
+ ## Variants and fields
73
 
74
 
75
  ### `2d` (default)
76
 
77
+ `sdrbench.dataset("cesm-atm", "2d")` — folder `1800x3600/` — 79 files, 2.0 GB, from [SDRBENCH-CESM-ATM-1800x3600.tar.gz](https://g-d0cd3f.fd635.8443.data.globus.org/raw-data/CESM-ATM/SDRBENCH-CESM-ATM-1800x3600.tar.gz).
78
+
79
+ 2D fields of one time step on a 1800 x 3600 latitude-longitude grid.
80
 
81
  | Field | dtype | Shape (C order) | File |
82
  |---|---|---|---|
 
90
  | `FLNSC` | `<f4` | 1800 x 3600 | `1800x3600/FLNSC_1_1800_3600.f32` |
91
  | `FLNS` | `<f4` | 1800 x 3600 | `1800x3600/FLNS_1_1800_3600.f32` |
92
  | `FLNTC` | `<f4` | 1800 x 3600 | `1800x3600/FLNTC_1_1800_3600.f32` |
93
+ | ... 69 more | | | |
 
 
94
 
95
  ### `2d-cleared`
96
 
97
+ `sdrbench.dataset("cesm-atm", "2d-cleared")` — folder `cleared-1800x3600/` — 78 files, 2.0 GB, from [SDRBENCH-CESM-ATM-cleared-1800x3600.tar.gz](https://g-d0cd3f.fd635.8443.data.globus.org/raw-data/CESM-ATM/SDRBENCH-CESM-ATM-cleared-1800x3600.tar.gz).
98
+
99
+ The 2D fields with all background (fill) values set to 0.
100
 
101
  | Field | dtype | Shape (C order) | File |
102
  |---|---|---|---|
 
110
  | `FLNSC` | `<f4` | 1800 x 3600 | `cleared-1800x3600/FLNSC_1_1800_3600.dat` |
111
  | `FLNS` | `<f4` | 1800 x 3600 | `cleared-1800x3600/FLNS_1_1800_3600.dat` |
112
  | `FLNTC` | `<f4` | 1800 x 3600 | `cleared-1800x3600/FLNTC_1_1800_3600.dat` |
113
+ | ... 67 more | | | |
 
 
114
 
115
  Other files: `cleared-1800x3600/readme.txt`
116
 
117
  ### `3d`
118
 
119
+ `sdrbench.dataset("cesm-atm", "3d")` — folder `26x1800x3600/` — 33 files, 22.2 GB, from [SDRBENCH-CESM-ATM-26x1800x3600.tar.gz](https://g-d0cd3f.fd635.8443.data.globus.org/raw-data/CESM-ATM/SDRBENCH-CESM-ATM-26x1800x3600.tar.gz).
120
+
121
+ 3D fields: 26 vertical levels of 1800 x 3600.
122
 
123
  | Field | dtype | Shape (C order) | File |
124
  |---|---|---|---|
 
132
  | `DCQ` | `<f4` | 26 x 1800 x 3600 | `26x1800x3600/DCQ_1_26_1800_3600.f32` |
133
  | `DTCOND` | `<f4` | 26 x 1800 x 3600 | `26x1800x3600/DTCOND_1_26_1800_3600.f32` |
134
  | `DTV` | `<f4` | 26 x 1800 x 3600 | `26x1800x3600/DTV_1_26_1800_3600.f32` |
135
+ | ... 23 more | | | |
 
 
136
 
137
  ## Citation
138
 
139
+ Please cite SDRBench; `sdrbench cite cesm-atm` prints it:
140
 
141
  ```bibtex
142
  @inproceedings{zhao2020sdrbench,
 
150
 
151
  ## License and terms
152
 
153
+ The data are distributed by the SDRBench team for research use under the terms of the original
154
+ data providers listed above (see the [SDRBench website](https://sdrbench.github.io/datasets.html)); please acknowledge them as
155
+ requested. Rights remain with the data providers.
files.jsonl ADDED
@@ -0,0 +1,190 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"variant": "2d", "field": "AEROD_v", "var": "AEROD_v", "step": null, "path": "1800x3600/AEROD_v_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "472f169e668049fa46b69698d8a47ce7d74c557e830344fced47b55c0a3829a4"}
2
+ {"variant": "2d", "field": "CLDHGH", "var": "CLDHGH", "step": null, "path": "1800x3600/CLDHGH_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "2f05bb17391c00a6d5948ef062537fafd44b27fc09e47c06c3f0112718be65d8"}
3
+ {"variant": "2d", "field": "CLDLOW", "var": "CLDLOW", "step": null, "path": "1800x3600/CLDLOW_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "289f9196036e93e129b9c142444c225065740a783ec76877fc2d5b9fa13d0a3e"}
4
+ {"variant": "2d", "field": "CLDMED", "var": "CLDMED", "step": null, "path": "1800x3600/CLDMED_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "66b5d22ff38de01c89fa19e4d71039dbfc0ad92ae8b29bdbd35e8bf7c0cced3f"}
5
+ {"variant": "2d", "field": "CLDTOT", "var": "CLDTOT", "step": null, "path": "1800x3600/CLDTOT_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "63642765eacdd0c7d9f9761c8fb074b37b08ce93e8b71c76cce5e084fc1131e3"}
6
+ {"variant": "2d", "field": "FLDSC", "var": "FLDSC", "step": null, "path": "1800x3600/FLDSC_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "78df3f45a1609910a452b9791a6a338ef7335ffe3d2af67849ce2095cf307927"}
7
+ {"variant": "2d", "field": "FLDS", "var": "FLDS", "step": null, "path": "1800x3600/FLDS_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "8b3125216af7f60fb90d9ae38bdd9bc36b56fd7cf7efe79e0775bfe0aa3b9c97"}
8
+ {"variant": "2d", "field": "FLNSC", "var": "FLNSC", "step": null, "path": "1800x3600/FLNSC_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "e240d0f22e69a44dcfee642951e6926f025639865484a3ec108cdf2bacb6f68e"}
9
+ {"variant": "2d", "field": "FLNS", "var": "FLNS", "step": null, "path": "1800x3600/FLNS_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "0a683d1c2f04e5e0484a8e7871391436986c638dd7ee0f6983eb6ae6fd834430"}
10
+ {"variant": "2d", "field": "FLNTC", "var": "FLNTC", "step": null, "path": "1800x3600/FLNTC_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "efd91bc78ae04db0a5712853e878cf8a7f12bafddd1fbca2e33f1aa0c4a561e6"}
11
+ {"variant": "2d", "field": "FLNT", "var": "FLNT", "step": null, "path": "1800x3600/FLNT_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "4c283426c3c38bdd26107d4a531a7ef2472db10af7c5ded98524880ee83d9865"}
12
+ {"variant": "2d", "field": "FLUTC", "var": "FLUTC", "step": null, "path": "1800x3600/FLUTC_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "9e2fffcee69476180afd31b5454d65334b5c2aaf2266f9c951a237950f28c74d"}
13
+ {"variant": "2d", "field": "FLUT", "var": "FLUT", "step": null, "path": "1800x3600/FLUT_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "ae23d14b411dd85db6a02d8846f1b436a2a9f679b48a603d4180fe2ee967ce5d"}
14
+ {"variant": "2d", "field": "FREQSH", "var": "FREQSH", "step": null, "path": "1800x3600/FREQSH_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "2e3e95da67197a7f154186397abf9854a6bf62b2f7f534319cd3428834846bbb"}
15
+ {"variant": "2d", "field": "FREQZM", "var": "FREQZM", "step": null, "path": "1800x3600/FREQZM_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "679d2772ba3bbe9221083896887cf1bab701a7cb4df806d8ce53320be719a38d"}
16
+ {"variant": "2d", "field": "FSDSC", "var": "FSDSC", "step": null, "path": "1800x3600/FSDSC_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "3023650f3261f442f59fd33fc9eb8eb7ccb2b1914fca01794f8eee3937dae06f"}
17
+ {"variant": "2d", "field": "FSDS", "var": "FSDS", "step": null, "path": "1800x3600/FSDS_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "4b89af52db1a06f17de49275c4520374ad48385f5e95c7c1ad1060aed02b494d"}
18
+ {"variant": "2d", "field": "FSDTOA", "var": "FSDTOA", "step": null, "path": "1800x3600/FSDTOA_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "13b6d8e0fce292e18d80ef46a48b9b9f1f4902d9fa3538431c3518270a2796b4"}
19
+ {"variant": "2d", "field": "FSNSC", "var": "FSNSC", "step": null, "path": "1800x3600/FSNSC_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "fa93c97cb3267ee2c42d2307763dd55eb8279715b835cd79494188d202a9de04"}
20
+ {"variant": "2d", "field": "FSNS", "var": "FSNS", "step": null, "path": "1800x3600/FSNS_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "114f9b8aec31768e480571f07cada05379c80dc7f8e437df1feea1e5a6b2d63d"}
21
+ {"variant": "2d", "field": "FSNTC", "var": "FSNTC", "step": null, "path": "1800x3600/FSNTC_1_1800_3600.f32", "dtype": "<f4", "shape": [1800, 3600], "file_shape": [1800, 3600], "component": null, "transpose": null, "bytes": 25920000, "sha256": "76c232b3d01c48752c1d4e701bd900cab15b348fb0812018a266f7d53b33155f"}
22
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