Publish Modelome dataset shard

sources/gpt4all/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 `00000000000000000006-37802087308a5893-73048b10564d`. 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 20 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 |
+| --- | ---: |
+| `resource` | 40 |
+| `weights` | 20 |
+
+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:
+
+- `gpt4all-model-catalog` (gpt4all_model_catalog): checkpoint complete; pages ingested: 1; records seen: 20.
+
+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
+`00000000000000000006-37802087308a5893-73048b10564d` 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
+> `00000000000000000006-37802087308a5893-73048b10564d`. 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/gpt4all/entries/entries.jsonl

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+}

sources/gpt4all/metadata/README.md

@@ -0,0 +1,60 @@
+---
+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 00000000000000000006-37802087308a5893-73048b10564d (generation
+6).
+
+## Included files
+
+- artifact_identifiers.parquet: 40 rows.
+- artifact_url_links.parquet: 20 rows.
+- artifacts.parquet: 20 rows.
+- model_aliases.parquet: 40 rows.
+- model_artifacts.parquet: 20 rows.
+- model_identifiers.parquet: 40 rows.
+- model_releases.parquet: 20 rows.
+- models.parquet: 20 rows.
+- release_identifiers.parquet: 40 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:
+
+- gpt4all-model-catalog (gpt4all_model_catalog)

sources/gpt4all/metadata/artifact_identifiers.parquet

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+size 2949

sources/gpt4all/metadata/artifact_url_links.parquet

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+size 3886

sources/gpt4all/metadata/artifacts.parquet

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+size 6134

sources/gpt4all/metadata/export-receipt.json

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+{
+  "files": {
+    "README.md": {
+      "rows": null,
+      "sha256": "3107b6f9c569475915cf2281c4f6c33448c6162fd917fcde5cf55a09db55b464",
+      "size_bytes": 2594
+    },
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+      "sha256": "f3329497f9747696208033c103946bf60e1b85f2bc9f7f0553c3d936b0a0d880",
+      "size_bytes": 2949
+    },
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+      "rows": 20,
+      "sha256": "a72c61bd030da0b62b148dfa5b8a486ed05f0aaa8e4477a33375586ff452974a",
+      "size_bytes": 3886
+    },
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+      "rows": 20,
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+      "size_bytes": 6134
+    },
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+      "rows": 40,
+      "sha256": "7b1a5f45fa65f371680c62f2866c515838226b65e0b59f37303144b970ef802e",
+      "size_bytes": 3173
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+      "size_bytes": 5813
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+      "size_bytes": 3953
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+      "size_bytes": 604
+    }
+  },
+  "output": "metadata",
+  "source_commit": "00000000000000000006-37802087308a5893-73048b10564d",
+  "source_generation": 6,
+  "source_state_digest": "37802087308a58932a78691664b57aedf4abc053d50338fcdf6cd799df7730c5"
+}

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sources/gpt4all/metadata/source-manifest.json

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+{
+  "format": "modelome-public-metadata-v1",
+  "generated_at": "2026-09-25T22:24:13.765057Z",
+  "sources": [
+    {
+      "adapter": "gpt4all_model_catalog",
+      "checkpoint": {
+        "complete": true,
+        "pages_ingested": 1,
+        "records_seen": 20,
+        "updated_at": "2026-09-25T22:03:47.926870+00:00",
+        "upstream_count": 20
+      },
+      "checkpoint_observed": true,
+      "configured": {
+        "adapter": "gpt4all_model_catalog",
+        "schedule": "daily"
+      },
+      "is_configured": true,
+      "schedule": "daily",
+      "source": "gpt4all-model-catalog"
+    }
+  ]
+}

sources/gpt4all/seeds.jsonl

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