ardan-S commited on
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Publish HiPredict records, checksums and dataset instructions

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.gitattributes CHANGED
@@ -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
README.md ADDED
@@ -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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+
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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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+
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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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+
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+ ## Download and extract
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+
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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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+
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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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+ size 222179137
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