Publish verified PBISC dataset README.md

README.md

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+---
+language:
+- en
+size_categories:
+- 10M<n<100M
+tags:
+- single-cell-rna-seq
+- bulk-rna-seq
+- diffusion
+configs:
+- config_name: shard_catalog
+  default: true
+  data_files:
+  - split: catalog
+    path: index/metadata/source_shards.parquet
+---
+# PBISC Diffusion training data
+
+Private archival/reproduction release for PBISC Diffusion. The catalog preview
+lists shards; it is not the expression matrix or a train/test example split.
+Expression remains unchanged sparse CSR Zarr (base v3, overlay v2) in transport
+archives. Use the PBISC code package to verify and restore assets.
+
+The release has 41,395,184 logical cells, 22 source datasets, 432 shards and
+20,097 ordered genes. It includes row-aligned cell metadata, measurement masks,
+donor splits, sealed E2 recipes, All-K top-ups and the train-fitted conditioner.
+Canonical counts are shared across model panels. Measured zero and unmeasured
+coordinates remain distinct. Source assay units and sparse values are preserved.
+
+`release.json` is the complete asset/hash manifest. `relocation.json` binds new
+paths while retaining original source/index fingerprints. Original manifests
+are preserved rather than rewritten. No new random split is created.
+
+Public redistribution rights have not been established by this export.
+`provenance/rights.tsv` records each study as unverified. Private archival storage
+does not establish a blanket dataset license. No license is inferred from public
+accessibility of an upstream download. This dataset remains private pending a
+source-specific rights review.
+
+Code: https://github.com/junidude/PBISC
+Model: https://huggingface.co/junidude14/PBISC
+
+Verify and restore pinned assets with `pbisc data download` or `pbisc data restore`.
+These archives are not directly loaded as dense matrices by `load_dataset()`.
+Plan approximately 112 GB for transport plus a similar amount for full extraction;
+selected-shard restoration is supported. The current release is file/provenance
+packaging, not a new biological validation of the source datasets.