Publish Modelome dataset shard

sources/vision-more/README.md

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+---
+pretty_name: Modelome model and research metadata (v0.1.0)
+tags:
+- machine-learning
+- model-registry
+- provenance
+- research
+---
+
+# Modelome dataset, v0.1.0
+
+Modelome is an evidence-linked registry of machine-learning model and research
+metadata. This release is a snapshot from source commit `00000000000000000009-325631c3a15d961a-5ae8c9cf7ae9`. Its
+coverage is partial: the bundle represents configured sources and completed
+work recorded at build time, not an exhaustive inventory of models or sources.
+The bundle status is `complete`. Integrity checks: passed.
+
+## Contents
+
+The bundle contains 15 entries and 60 linked
+resources; 60 resources have no resolved artifact in this snapshot.
+Entry resource categories are summarized below. Categories and links describe
+recorded evidence, not independent verification that an artifact is current or
+available.
+
+| Entry resource category | Count |
+| --- | ---: |
+| `code` | 10 |
+| `model` | 10 |
+| `resource` | 21 |
+| `weights` | 19 |
+
+The manifest lists these bundled files:
+
+- `entries/entries.jsonl`
+- `entries/manifest.json`
+- `metadata/README.md`
+- `metadata/artifact_identifiers.parquet`
+- `metadata/artifact_url_links.parquet`
+- `metadata/artifacts.parquet`
+- `metadata/export-receipt.json`
+- `metadata/model_aliases.parquet`
+- `metadata/model_artifacts.parquet`
+- `metadata/model_identifiers.parquet`
+- `metadata/model_releases.parquet`
+- `metadata/models.parquet`
+- `metadata/release_identifiers.parquet`
+- `metadata/source-manifest.json`
+- `seeds.jsonl`
+- `seeds.jsonl.manifest.json`
+
+`entries/entries.jsonl` contains entry records. `metadata/*.parquet` contains
+projected registry tables, and `metadata/source-manifest.json` records the
+configured sources and observed checkpoints. `seeds.jsonl` and its manifest
+support rebuilding the entries. Parquet tables preserve IDs and source-attributed
+relationships; they are metadata and references, not copies of linked resources.
+
+## Coverage and evidence limits
+
+Source checkpoint state is reported as recorded by each adapter:
+
+- `scenic-baseline-model-zoo` (jax_extra_registry): checkpoint complete; pages ingested: 1; records seen: 10.
+- `stardist-pretrained-models` (stardist_pretrained_registry): checkpoint complete; pages ingested: 1; records seen: 1.
+
+A checkpoint marked complete means that adapter finished its recorded scan; it
+does not establish historical or global completeness. A configured source may
+have no observed checkpoint. Evidence links identify source records and
+relationships available to Modelome; they do not imply that each association,
+license, or external URL was independently verified. Technique or method counts
+are not inferred where the schema does not distinguish them from model entries.
+
+This release contains no model weights, raw source payloads, abstracts, paper
+full text, or copied model-card/README bodies. Follow external identifiers and
+URLs for source material under its own terms. No single license is asserted for
+all upstream records: users must review the terms and attribution requirements
+that apply to each source. In particular, records derived from Papers with Code
+archival datasets may carry attribution and share-alike obligations; arXiv
+metadata is factual metadata and does not convey rights to paper content.
+
+## Provenance and citation
+
+For reproducibility, cite the Modelome dataset repository and identify the
+specific dataset revision you used, along with this bundle's source commit
+`00000000000000000009-325631c3a15d961a-5ae8c9cf7ae9` and Modelome version `0.1.0`. Also cite the original source
+records used in your work. Project code and documentation: [Modelome on
+GitHub](https://github.com/modelomics/modelome). Dataset: [Modelome on the
+Hugging Face Hub](https://huggingface.co/datasets/modelomics/modelome).
+
+Suggested citation template (fill in the Hub revision actually used):
+
+> Modelome contributors. Modelome dataset, v0.1.0. Hugging Face Datasets,
+> `modelomics/modelome`, revision `<revision>`, source commit
+> `00000000000000000009-325631c3a15d961a-5ae8c9cf7ae9`. Accessed `<date>`.
+
+## Resuming a partial collection
+
+Continue from the same local Modelome store so source adapter checkpoints are
+retained. Run `modelome build-dataset --source SOURCE --max-pages N` (repeat
+`--source` for additional adapters) with the same `--store` and choose a new
+`--output` directory. A page budget may produce another partial snapshot; inspect
+the new root manifest and source manifest before using it. See the repository's
+[`docs/dataset.md`](https://github.com/modelomics/modelome/blob/main/docs/dataset.md)
+for build inputs, output layout, and recovery details.

sources/vision-more/entries/entries.jsonl

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+  "mode": "store",
+  "modelome_version": "0.1.0",
+  "papers_ingested": 0,
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+}

sources/vision-more/metadata/README.md

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+---
+pretty_name: MODELOME public metadata
+tags:
+- machine-learning
+- model-registry
+- provenance
+- research
+---
+
+# MODELOME public metadata
+
+This is a provenance-preserving, metadata-only export of the MODELOME registry.
+It records model identities, source-attributed artifact links, and trained-release
+identifiers. The source registry commit is 00000000000000000009-325631c3a15d961a-5ae8c9cf7ae9 (generation
+9).
+
+## Included files
+
+- artifact_identifiers.parquet: 11 rows.
+- artifact_url_links.parquet: 35 rows.
+- artifacts.parquet: 11 rows.
+- model_aliases.parquet: 25 rows.
+- model_artifacts.parquet: 15 rows.
+- model_identifiers.parquet: 15 rows.
+- model_releases.parquet: 15 rows.
+- models.parquet: 15 rows.
+- release_identifiers.parquet: 15 rows.
+
+model_artifacts.parquet joins model IDs to their current source artifacts.
+artifact_url_links.parquet joins a current artifact to a discovered external URL
+and, when present in this export, the matching target artifact ID. Together with
+artifacts.parquet and identifiers, those tables support paper/code/model and
+model/release reconstruction without claiming that a URL is a binary payload.
+model_releases.parquet may include weight_files_json, a JSON array of safe relative
+filenames declared by a Hugging Face model record. weight_files_complete says
+whether the revision's file listing finished; false means the array contains only
+observed files. Other release metadata is omitted.
+
+## Deliberately excluded
+
+This release does not include source-record raw payloads, paper abstracts or full
+text, model-card bodies, README bodies, source HTML, or unreviewed evidence values.
+Follow the external URLs and identifiers for those materials under their own terms.
+
+## Source attribution and rights
+
+source-manifest.json records configured sources and observed source checkpoints,
+including configured sources with no observed checkpoint. The checkpoint's
+complete flag and counts are reported only when that checkpoint exists; they do
+not claim unrun sources were ingested. A true complete flag means the adapter
+finished its checkpointed scan; it does not claim exhaustive historical or global
+coverage. Source-level terms remain in force.
+In particular, derivative users must preserve attribution and applicable
+share-alike obligations for records derived from the Papers with Code archival
+datasets. The arXiv snapshot contributes factual metadata only; paper-specific
+licenses remain attached to the original records and paper content is not included.
+
+Contributing source checkpoints:
+
+- scenic-baseline-model-zoo (jax_extra_registry)
+- stardist-pretrained-models (stardist_pretrained_registry)

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+size 5881

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+      "size_bytes": 5881
+    },
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+      "rows": 25,
+      "sha256": "ed94cbe53a5fb03a7fdae57b2c6c0730c770e6839e531afcafd2a4dd5f51fea9",
+      "size_bytes": 2207
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+    },
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+      "sha256": "cff710d149e4720ad8f42a175dac729e04ea586904eed65e3768e237ffd19626",
+      "size_bytes": 5343
+    },
+    "models.parquet": {
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+      "sha256": "eb7021eb16901cf3666cca1f5cfba07e9075bda2388cb5385d7d03cb456e7f07",
+      "size_bytes": 3610
+    },
+    "release_identifiers.parquet": {
+      "rows": 15,
+      "sha256": "0bcb0f1354a94188ee95903b1c435ed6e7fbe30af17d0b6d00a3037d23abb9c3",
+      "size_bytes": 2826
+    },
+    "source-manifest.json": {
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+      "sha256": "6d2253c6ce42d30bcea4eb5db1da2262135d12de6af67cc081d918aedc536403",
+      "size_bytes": 1045
+    }
+  },
+  "output": "metadata",
+  "source_commit": "00000000000000000009-325631c3a15d961a-5ae8c9cf7ae9",
+  "source_generation": 9,
+  "source_state_digest": "325631c3a15d961a4e4d2399476637cbd93ceea9861928c8e5701c3acffaa3fb"
+}

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+      "source": "stardist-pretrained-models"
+    }
+  ]
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