Datasets:
Publish HiPredict records, checksums and dataset instructions
Browse files- .gitattributes +1 -0
- README.md +31 -0
- data_record_alls.csv +3 -0
- data_record_evals.csv +0 -0
- dataset_manifest.json +347 -0
.gitattributes
CHANGED
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@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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data_record_alls.csv filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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@@ -0,0 +1,31 @@
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---
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tags:
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- hirise
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- mars
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- numpy
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---
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# HiPredict dataset
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Research NumPy patches and data records for HiPredict's HiRISE RED4 reconstruction.
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Code: https://github.com/ardan-S/HiPredict
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Model: https://huggingface.co/ardan-S/HiPredict
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The corpus contains 586,450 arrays in 51 uncompressed tar shards.
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The arrays retain their original bytes. CSV row order and all non-Path values
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are preserved; paths resolve relative to each downloaded CSV after extraction.
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The released model uses the recorded global normalization statistics supplied
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with its checkpoint and the public code.
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## Download and extract
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```bash
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hf download ardan-S/HiPredict --repo-type dataset --local-dir HiPredict-data
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find HiPredict-data/shards -name '*.tar' -exec tar -xf {} -C HiPredict-data \;
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```
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This restores `npy_files/OBSERVATION_ID/...` for training/validation/test and
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`npy_files_evals/OBSERVATION_ID/...` for the separate evaluation corpus.
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The two directories remain separate, including when patch filenames coincide.
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CSV records: `data_record_alls.csv`, `data_record_evals.csv`.
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Patch sets contain BG12, IR10, RED4, and RED3/RED5 context arrays.
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`dataset_manifest.json` lists the shard checksums and record provenance.
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data_record_alls.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d7e51ae656541d82d74433133f904f7c7398caf4921855079fd1cc2f8bf1bc9
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size 222179137
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data_record_evals.csv
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The diff for this file is too large to render.
See raw diff
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dataset_manifest.json
ADDED
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{
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"format": "HiPredict NumPy arrays in tar shards",
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"array_count": 586450,
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"array_bytes": 215303153920,
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"corpora": [
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{
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"directory": "npy_files",
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"record": "data_record_alls.csv",
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"observations": 19465,
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"arrays": 583950,
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| 11 |
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"array_bytes": 214385329920
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},
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{
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"directory": "npy_files_evals",
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| 15 |
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"record": "data_record_evals.csv",
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| 16 |
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"observations": 500,
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| 17 |
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"arrays": 2500,
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| 18 |
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"array_bytes": 917824000
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| 19 |
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}
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| 20 |
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],
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"records": [
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{
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| 23 |
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"file": "data_record_alls.csv",
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| 24 |
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"rows": 583950,
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| 25 |
+
"sha256": "7d7e51ae656541d82d74433133f904f7c7398caf4921855079fd1cc2f8bf1bc9",
|
| 26 |
+
"original_sha256": "1bf1798e0686a4db21000e4ef9143355f93c3e2a8024d81a26b4cf76fe5d8dfc",
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| 27 |
+
"corpus": "npy_files",
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| 28 |
+
"observations": 19465
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| 29 |
+
},
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| 30 |
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{
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| 31 |
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"file": "data_record_evals.csv",
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| 32 |
+
"rows": 2500,
|
| 33 |
+
"sha256": "253d701d0a61db65b71a5b1114ae91e40a00bd77e07c6451e333ec16f9082739",
|
| 34 |
+
"original_sha256": "72acfb00d07668ab7b56e40f331aaa09bfc910a9da01f4b31f073979b5ecf600",
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| 35 |
+
"corpus": "npy_files_evals",
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| 36 |
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"observations": 500
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| 37 |
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}
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| 38 |
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],
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| 39 |
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"shards": [
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| 40 |
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{
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| 41 |
+
"file": "shards/0000/part-000000.tar",
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| 42 |
+
"arrays": 11557,
|
| 43 |
+
"bytes": 4253071360,
|
| 44 |
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"sha256": "5e94c7cc04e46683c38c1750533e1b78f8f116c3a60586b4a7d9b4400c5f6534"
|
| 45 |
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},
|
| 46 |
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{
|
| 47 |
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"file": "shards/0000/part-000001.tar",
|
| 48 |
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"arrays": 11557,
|
| 49 |
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"bytes": 4253327360,
|
| 50 |
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"sha256": "a3e09592acac5b8b7028ee36cefe40274dc7bab3438ccf0efd15d61acec49263"
|
| 51 |
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},
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| 52 |
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{
|
| 53 |
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"file": "shards/0000/part-000002.tar",
|
| 54 |
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"arrays": 11557,
|
| 55 |
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"bytes": 4253327360,
|
| 56 |
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"sha256": "3d45726763771c6cf15478f8205bd820cbcf6bd045610b9375f9ac1112f34e7e"
|
| 57 |
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},
|
| 58 |
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{
|
| 59 |
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"file": "shards/0000/part-000003.tar",
|
| 60 |
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"arrays": 11557,
|
| 61 |
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"bytes": 4253327360,
|
| 62 |
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"sha256": "7818809663504e4fca7359aee506d77bc61b44725294486fadbed33b6293fe8c"
|
| 63 |
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},
|
| 64 |
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{
|
| 65 |
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"file": "shards/0000/part-000004.tar",
|
| 66 |
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"arrays": 11557,
|
| 67 |
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"bytes": 4253327360,
|
| 68 |
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"sha256": "ac311b3bcfeb585c08f1ab297cd0f277803a860f8cafb2a5bf9fdd7cd70e6661"
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| 69 |
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},
|
| 70 |
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{
|
| 71 |
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"file": "shards/0000/part-000005.tar",
|
| 72 |
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"arrays": 11557,
|
| 73 |
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"bytes": 4253071360,
|
| 74 |
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"sha256": "2d7d8b16d705fe4da71eecb59c51f63fc2c6e56fd9d41a0edc2709a3742f1568"
|
| 75 |
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},
|
| 76 |
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{
|
| 77 |
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"file": "shards/0000/part-000006.tar",
|
| 78 |
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"arrays": 11557,
|
| 79 |
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"bytes": 4253327360,
|
| 80 |
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"sha256": "fe34940f3ad2dab9fb4860c7a1108c6bba2fbfdb292da2942bac2ba265e05a39"
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| 81 |
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},
|
| 82 |
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{
|
| 83 |
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"file": "shards/0000/part-000007.tar",
|
| 84 |
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"arrays": 11557,
|
| 85 |
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"bytes": 4253327360,
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"sha256": "ad38e732ffae9371d6e37399c3a0e7b13682d9c252412f89b30a61cc5526fa42"
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| 87 |
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},
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| 88 |
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{
|
| 89 |
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"file": "shards/0000/part-000008.tar",
|
| 90 |
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"arrays": 11557,
|
| 91 |
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"bytes": 4253327360,
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| 92 |
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"sha256": "99de603060f71f0cb97b542223bd9e594307450c82bbec5860944e21003c0a43"
|
| 93 |
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},
|
| 94 |
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{
|
| 95 |
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"file": "shards/0000/part-000009.tar",
|
| 96 |
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"arrays": 11557,
|
| 97 |
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"bytes": 4253327360,
|
| 98 |
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"sha256": "8694c77cd14fa5b882487ea90d70df3d0c13100101cb08aa4c2ceb300fc2f045"
|
| 99 |
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},
|
| 100 |
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{
|
| 101 |
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"file": "shards/0000/part-000010.tar",
|
| 102 |
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"arrays": 11557,
|
| 103 |
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"bytes": 4253071360,
|
| 104 |
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"sha256": "5d5f8753e946b6e7ceea21e130152fc11f97318b813c344de88721f232607cb3"
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| 105 |
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|
| 106 |
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{
|
| 107 |
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"file": "shards/0000/part-000011.tar",
|
| 108 |
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"arrays": 11557,
|
| 109 |
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"bytes": 4253327360,
|
| 110 |
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"sha256": "bec0e4718afbc1825f195d815b8b98883b9be18191a87ee43590426075e16493"
|
| 111 |
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},
|
| 112 |
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{
|
| 113 |
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"file": "shards/0000/part-000012.tar",
|
| 114 |
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"arrays": 11557,
|
| 115 |
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"bytes": 4253327360,
|
| 116 |
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"sha256": "b098338559542786056138fb39d042182781fb3ffdfa8f102238a7d840728ec6"
|
| 117 |
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},
|
| 118 |
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{
|
| 119 |
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"file": "shards/0000/part-000013.tar",
|
| 120 |
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"arrays": 11557,
|
| 121 |
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"bytes": 4253327360,
|
| 122 |
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"sha256": "a583330da93d332874863cfc30bdbad5b7f6a7ed12d803be02989fb0e4f601bc"
|
| 123 |
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},
|
| 124 |
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{
|
| 125 |
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"file": "shards/0000/part-000014.tar",
|
| 126 |
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"arrays": 11557,
|
| 127 |
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"bytes": 4253327360,
|
| 128 |
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"sha256": "5abe3a5e5190e7e0a620dba47899440316e59d0368d5a1e9184e39234e15d888"
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| 129 |
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|
| 130 |
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{
|
| 131 |
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"file": "shards/0000/part-000015.tar",
|
| 132 |
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"arrays": 11557,
|
| 133 |
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"bytes": 4253071360,
|
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|
| 135 |
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|
| 136 |
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{
|
| 137 |
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"file": "shards/0000/part-000016.tar",
|
| 138 |
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"arrays": 11557,
|
| 139 |
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