Publish Modelome dataset shard

sources/robotics/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 `00000000000000000018-bd2b210ce6463571-41e46451164d`. 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 21 entries and 74 linked
+resources; 74 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` | 63 |
+| `weights` | 11 |
+
+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:
+
+- `octo-checkpoints` (octo_checkpoints): checkpoint complete; pages ingested: 1; records seen: 4.
+- `openpi-checkpoint-manifest` (openpi_checkpoint_manifest): checkpoint complete; pages ingested: 1; records seen: 10.
+- `openvla-checkpoints` (openvla_checkpoints): checkpoint complete; pages ingested: 1; records seen: 7.
+
+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
+`00000000000000000018-bd2b210ce6463571-41e46451164d` 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
+> `00000000000000000018-bd2b210ce6463571-41e46451164d`. 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/robotics/entries/entries.jsonl

@@ -0,0 +1,21 @@
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+{"aliases": ["pi0_fast_base"], "canonical_name": "$\\pi0$-FAST", "citations": [], "id": "entry:18eef8ddb3ed6b6674f8d23eb4dbba832883d4c6599d472314d1583705e76a67", "identifiers": [{"namespace": "openpi:model", "value": "pi0_fast_base"}], "members": [{"aliases": ["pi0_fast_base"], "artifact_identifiers": [{"namespace": "openpi:model", "value": "pi0_fast_base"}], "artifact_url": "https://raw.githubusercontent.com/Physical-Intelligence/openpi/215abfb217dbac7d5f1273282331b9b1866c0479/README.md", "confidence": 1.0, "local_id": "model:pi0_fast_base", "locator": null, "name": "$\\pi0$-FAST", "source": "openpi-checkpoint-manifest", "source_record_id": "openpi:pi0_fast_base", "status": "released"}], "model_relations": [], "releases": [{"confidence": 1.0, "identifiers": [{"namespace": "openpi:checkpoint", "value": "gs://openpi-assets/checkpoints/pi0_fast_base"}], "local_id": "release:pi0_fast_base", "locator": "README.md:line:67", "metadata": {"checkpoint_uri": "gs://openpi-assets/checkpoints/pi0_fast_base", "repository": "Physical-Intelligence/openpi", "revision": "215abfb217dbac7d5f1273282331b9b1866c0479"}, "model_local_id": "model:pi0_fast_base", "released_at": null, "revision": "215abfb217dbac7d5f1273282331b9b1866c0479", "source": "openpi-checkpoint-manifest", "source_record_id": "openpi:pi0_fast_base", "version": null}], "resources": [{"category": "resource", "crawl": false, "locator": null, "model_local_id": "model:pi0_fast_base", "relation": "source_repository", "relation_evidence": null, "resolved_artifact": null, "source": "openpi-checkpoint-manifest", "source_record_id": "openpi:pi0_fast_base", "url": "https://github.com/Physical-Intelligence/openpi"}, {"category": "resource", "crawl": false, "locator": "README.md:line:67", "model_local_id": "model:pi0_fast_base", "relation": "model_catalog", "relation_evidence": null, "resolved_artifact": null, "source": "openpi-checkpoint-manifest", "source_record_id": "openpi:pi0_fast_base", "url": "https://raw.githubusercontent.com/Physical-Intelligence/openpi/215abfb217dbac7d5f1273282331b9b1866c0479/README.md"}, {"category": "resource", "crawl": false, "locator": null, "model_local_id": "model:pi0_fast_base", "relation": "seed", "relation_evidence": null, "resolved_artifact": null, "source": "openpi-checkpoint-manifest", "source_record_id": "openpi:pi0_fast_base", "url": "https://raw.githubusercontent.com/Physical-Intelligence/openpi/215abfb217dbac7d5f1273282331b9b1866c0479/README.md"}], "tags": []}
+{"aliases": ["pi0_fast_droid"], "canonical_name": "$\\pi0$-FAST-DROID", "citations": [], "id": "entry:590b6c738fdf9bbb094be48b0755e5cd5a1ae07ce5e2235eb732738a32f6a7e9", "identifiers": [{"namespace": "openpi:model", "value": "pi0_fast_droid"}], "members": [{"aliases": ["pi0_fast_droid"], "artifact_identifiers": [{"namespace": "openpi:model", "value": "pi0_fast_droid"}], "artifact_url": "https://raw.githubusercontent.com/Physical-Intelligence/openpi/215abfb217dbac7d5f1273282331b9b1866c0479/README.md", "confidence": 1.0, "local_id": "model:pi0_fast_droid", "locator": null, "name": "$\\pi0$-FAST-DROID", "source": "openpi-checkpoint-manifest", "source_record_id": "openpi:pi0_fast_droid", "status": "released"}], "model_relations": [], "releases": [{"confidence": 1.0, "identifiers": [{"namespace": "openpi:checkpoint", "value": "gs://openpi-assets/checkpoints/pi0_fast_droid"}], "local_id": "release:pi0_fast_droid", "locator": "README.md:line:75", "metadata": {"checkpoint_uri": "gs://openpi-assets/checkpoints/pi0_fast_droid", "repository": "Physical-Intelligence/openpi", "revision": "215abfb217dbac7d5f1273282331b9b1866c0479"}, "model_local_id": "model:pi0_fast_droid", "released_at": null, "revision": "215abfb217dbac7d5f1273282331b9b1866c0479", "source": "openpi-checkpoint-manifest", "source_record_id": "openpi:pi0_fast_droid", "version": null}], "resources": [{"category": "resource", "crawl": false, "locator": null, "model_local_id": "model:pi0_fast_droid", "relation": "source_repository", "relation_evidence": null, "resolved_artifact": null, "source": "openpi-checkpoint-manifest", "source_record_id": "openpi:pi0_fast_droid", "url": "https://github.com/Physical-Intelligence/openpi"}, {"category": "resource", "crawl": false, "locator": "README.md:line:75", "model_local_id": "model:pi0_fast_droid", "relation": "model_catalog", "relation_evidence": null, "resolved_artifact": null, "source": "openpi-checkpoint-manifest", "source_record_id": "openpi:pi0_fast_droid", "url": "https://raw.githubusercontent.com/Physical-Intelligence/openpi/215abfb217dbac7d5f1273282331b9b1866c0479/README.md"}, {"category": "resource", "crawl": false, "locator": null, "model_local_id": "model:pi0_fast_droid", "relation": "seed", "relation_evidence": null, "resolved_artifact": null, "source": "openpi-checkpoint-manifest", "source_record_id": "openpi:pi0_fast_droid", "url": "https://raw.githubusercontent.com/Physical-Intelligence/openpi/215abfb217dbac7d5f1273282331b9b1866c0479/README.md"}], "tags": []}

sources/robotics/entries/manifest.json

@@ -0,0 +1,14 @@
+{
+  "format": "modelome-entry-corpus-v1",
+  "entry_count": 21,
+  "seed_count": 21,
+  "candidate_count": 21,
+  "resource_count": 74,
+  "citation_count": 0,
+  "release_count": 21,
+  "model_relation_count": 0,
+  "entry_sha256": "180b2e6ba170af66913244ebf35988a471414f24fad3ee34a6e244f764daac28",
+  "files": {
+    "entries.jsonl": "e53452d7bf1b0cde5c4a4f920430b578f24e8af236a10a3ae47da81a63f40eb1"
+  }
+}

sources/robotics/manifest.json

@@ -0,0 +1,108 @@
+{
+  "format": "modelome-dataset-v1",
+  "modelome_version": "0.1.0",
+  "status": "complete",
+  "mode": "sources",
+  "source_commit": "00000000000000000018-bd2b210ce6463571-41e46451164d",
+  "papers_ingested": 0,
+  "entries": {
+    "format": "modelome-entry-corpus-v1",
+    "entry_count": 21,
+    "seed_count": 21,
+    "candidate_count": 21,
+    "resource_count": 74,
+    "citation_count": 0,
+    "release_count": 21,
+    "model_relation_count": 0,
+    "entry_sha256": "180b2e6ba170af66913244ebf35988a471414f24fad3ee34a6e244f764daac28"
+  },
+  "sync": [
+    {
+      "source": "openvla-checkpoints",
+      "status": "complete",
+      "pages": 1,
+      "records_seen": 7,
+      "upstream_count": 7
+    },
+    {
+      "source": "octo-checkpoints",
+      "status": "complete",
+      "pages": 1,
+      "records_seen": 4,
+      "upstream_count": 4
+    },
+    {
+      "source": "openpi-checkpoint-manifest",
+      "status": "complete",
+      "pages": 1,
+      "records_seen": 10,
+      "upstream_count": 10
+    }
+  ],
+  "files": {
+    "entries/entries.jsonl": {
+      "sha256": "e53452d7bf1b0cde5c4a4f920430b578f24e8af236a10a3ae47da81a63f40eb1",
+      "bytes": 55251
+    },
+    "entries/manifest.json": {
+      "sha256": "7473979236ac0b07d940a94822769eb629b57059b1bd0fce46e0fc568497418c",
+      "bytes": 400
+    },
+    "metadata/README.md": {
+      "sha256": "f02a6528c010e4c69e95dd8cbb65fb23d0e929f51887b9775d00fba2aa02f24e",
+      "bytes": 2687
+    },
+    "metadata/artifact_identifiers.parquet": {
+      "sha256": "38636131d75a55f0be95bb1477499492665d8a4241da993322c53ce4aa24e2bc",
+      "bytes": 2412
+    },
+    "metadata/artifact_url_links.parquet": {
+      "sha256": "78cb2f96a6d8973ac6d19954558128ca33ffd6a1f26446f9c91c2c145b2e9763",
+      "bytes": 3997
+    },
+    "metadata/artifacts.parquet": {
+      "sha256": "c96b55a4eaef4bdac6f92ae0ff14fb4322a3c25616b183a67d3ee80beb00ee19",
+      "bytes": 6049
+    },
+    "metadata/export-receipt.json": {
+      "sha256": "e12d68f37c6812b39500c347444a06a6074e8d3ed09dd795c6f5c9c1de3e1ddf",
+      "bytes": 2054
+    },
+    "metadata/model_aliases.parquet": {
+      "sha256": "04494bff3d72abaa4a067e41e6cc96d6f36c6aaa8deec4105afef5dc9872b65b",
+      "bytes": 3081
+    },
+    "metadata/model_artifacts.parquet": {
+      "sha256": "0d25c82ac9682b62b40b5c472fb2cb324a96c2e2942d4ea58f2d1632ea47588a",
+      "bytes": 6431
+    },
+    "metadata/model_identifiers.parquet": {
+      "sha256": "4f4199170a2d029e4888690d79cee7f5f21eb5a52927ca05df169a0c3aa7a867",
+      "bytes": 2445
+    },
+    "metadata/model_releases.parquet": {
+      "sha256": "6fd56a1007ce61889d6f15fd5e61532feb97f80076c6754c81032942b802a64d",
+      "bytes": 5513
+    },
+    "metadata/models.parquet": {
+      "sha256": "6982fd5ef8c3e261dd4302280ccce797529fd89c29f21f89204944cfe3abb666",
+      "bytes": 4291
+    },
+    "metadata/release_identifiers.parquet": {
+      "sha256": "3f80e5b2e63c37e1db1c97bdaed6fcc64d56437e1f86849ebeb91666d7d5ef59",
+      "bytes": 2507
+    },
+    "metadata/source-manifest.json": {
+      "sha256": "f44ae0af05c40bccb0f3bf7c78e35d54ec19ce00cbef1df90e89124d376ff797",
+      "bytes": 1580
+    },
+    "seeds.jsonl": {
+      "sha256": "69a39cb94ef7829acbfe80dc59cc0d301ea1b756d03141c3830f11133a66deac",
+      "bytes": 33425
+    },
+    "seeds.jsonl.manifest.json": {
+      "sha256": "5c84ea73030c7394f9a1b6c2f2787618548718835bb8cbd3acf48ecdf110f563",
+      "bytes": 519
+    }
+  }
+}

sources/robotics/metadata/README.md

@@ -0,0 +1,62 @@
+---
+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 00000000000000000018-bd2b210ce6463571-41e46451164d (generation
+18).
+
+## Included files
+
+- artifact_identifiers.parquet: 21 rows.
+- artifact_url_links.parquet: 32 rows.
+- artifacts.parquet: 21 rows.
+- model_aliases.parquet: 41 rows.
+- model_artifacts.parquet: 21 rows.
+- model_identifiers.parquet: 21 rows.
+- model_releases.parquet: 21 rows.
+- models.parquet: 21 rows.
+- release_identifiers.parquet: 21 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:
+
+- octo-checkpoints (octo_checkpoints)
+- openpi-checkpoint-manifest (openpi_checkpoint_manifest)
+- openvla-checkpoints (openvla_checkpoints)

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