Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
_format: string
catalog_version: timestamp[s]
observed_on: timestamp[s]
sources: list<item: struct<source_id: string, title: string, origin: string, resource_kind: string, repositor (... 214 chars omitted)
child 0, item: struct<source_id: string, title: string, origin: string, resource_kind: string, repository_id: strin (... 202 chars omitted)
child 0, source_id: string
child 1, title: string
child 2, origin: string
child 3, resource_kind: string
child 4, repository_id: string
child 5, revision: string
child 6, path: string
child 7, evidence_sha256: string
child 8, canonical_url: string
child 9, evidence_url: string
child 10, candidate_lanes: list<item: string>
child 0, item: string
child 11, classification_basis: string
child 12, license_review_required: bool
boundaries: struct<metadata_only: bool, runtime_network: bool, runtime_downloads: bool, artifact_contents_bundle (... 141 chars omitted)
child 0, metadata_only: bool
child 1, runtime_network: bool
child 2, runtime_downloads: bool
child 3, artifact_contents_bundled: bool
child 4, publisher_claims_verified: bool
child 5, license_compatibility_verified: bool
child 6, execution_readiness_verified: bool
child 7, proposal_authority: bool
title: string
$defs: struct<id: struct<type: string, minLength: int64, maxLength: int64, pattern: string>, text: struct<t (... 66 chars omitted)
child 0, id: struct<type: string, minLen
...
child 1, format: string
child 2, pattern: string
child 10, candidate_lanes: struct<type: string, minItems: int64, maxItems: int64, uniqueItems: bool, items: struct<enum: list<i (... 14 chars omitted)
child 0, type: string
child 1, minItems: int64
child 2, maxItems: int64
child 3, uniqueItems: bool
child 4, items: struct<enum: list<item: string>>
child 0, enum: list<item: string>
child 0, item: string
child 11, classification_basis: struct<const: string>
child 0, const: string
child 12, license_review_required: struct<const: bool>
child 0, const: bool
child 4, boundaries: struct<const: struct<metadata_only: bool, runtime_network: bool, runtime_downloads: bool, artifact_c (... 156 chars omitted)
child 0, const: struct<metadata_only: bool, runtime_network: bool, runtime_downloads: bool, artifact_contents_bundle (... 141 chars omitted)
child 0, metadata_only: bool
child 1, runtime_network: bool
child 2, runtime_downloads: bool
child 3, artifact_contents_bundled: bool
child 4, publisher_claims_verified: bool
child 5, license_compatibility_verified: bool
child 6, execution_readiness_verified: bool
child 7, proposal_authority: bool
additionalProperties: bool
to
{'$schema': Value('string'), '$id': Value('string'), 'title': Value('string'), 'description': Value('string'), 'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'_format': {'const': Value('string')}, 'catalog_version': {'const': Value('timestamp[s]')}, 'observed_on': {'const': Value('timestamp[s]')}, 'sources': {'type': Value('string'), 'minItems': Value('int64'), 'maxItems': Value('int64'), 'items': {'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'source_id': {'$ref': Value('string')}, 'title': {'$ref': Value('string')}, 'origin': {'enum': List(Value('string'))}, 'resource_kind': {'enum': List(Value('string'))}, 'repository_id': {'type': Value('string'), 'minLength': Value('int64'), 'maxLength': Value('int64')}, 'revision': {'type': Value('string'), 'minLength': Value('int64'), 'maxLength': Value('int64')}, 'path': {'oneOf': List({'type': Value('string'), 'minLength': Value('int64'), 'maxLength': Value('int64')})}, 'evidence_sha256': {'type': Value('string'), 'pattern': Value('string')}, 'canonical_url': {'type': Value('string'), 'format': Value('string'), 'pattern': Value('string')}, 'evidence_url': {'type': Value('string'), 'format': Value('string'), 'pattern': Value('string')}, 'candidate_lanes': {'type': Value('string'), 'minItems': Value('int64'), 'maxItems': Value('int64'), 'uniqueItems': Value('bool'), 'items': {'enum': List(Value('string'))}}, 'classification_basis': {'const': Value('string')}, 'license_review_required': {'const': Value('bool')}}}}, 'boundaries': {'const': {'metadata_only': Value('bool'), 'runtime_network': Value('bool'), 'runtime_downloads': Value('bool'), 'artifact_contents_bundled': Value('bool'), 'publisher_claims_verified': Value('bool'), 'license_compatibility_verified': Value('bool'), 'execution_readiness_verified': Value('bool'), 'proposal_authority': Value('bool')}}}, '$defs': {'id': {'type': Value('string'), 'minLength': Value('int64'), 'maxLength': Value('int64'), 'pattern': Value('string')}, 'text': {'type': Value('string'), 'minLength': Value('int64'), 'maxLength': Value('int64'), 'pattern': Value('string')}}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
_format: string
catalog_version: timestamp[s]
observed_on: timestamp[s]
sources: list<item: struct<source_id: string, title: string, origin: string, resource_kind: string, repositor (... 214 chars omitted)
child 0, item: struct<source_id: string, title: string, origin: string, resource_kind: string, repository_id: strin (... 202 chars omitted)
child 0, source_id: string
child 1, title: string
child 2, origin: string
child 3, resource_kind: string
child 4, repository_id: string
child 5, revision: string
child 6, path: string
child 7, evidence_sha256: string
child 8, canonical_url: string
child 9, evidence_url: string
child 10, candidate_lanes: list<item: string>
child 0, item: string
child 11, classification_basis: string
child 12, license_review_required: bool
boundaries: struct<metadata_only: bool, runtime_network: bool, runtime_downloads: bool, artifact_contents_bundle (... 141 chars omitted)
child 0, metadata_only: bool
child 1, runtime_network: bool
child 2, runtime_downloads: bool
child 3, artifact_contents_bundled: bool
child 4, publisher_claims_verified: bool
child 5, license_compatibility_verified: bool
child 6, execution_readiness_verified: bool
child 7, proposal_authority: bool
title: string
$defs: struct<id: struct<type: string, minLength: int64, maxLength: int64, pattern: string>, text: struct<t (... 66 chars omitted)
child 0, id: struct<type: string, minLen
...
child 1, format: string
child 2, pattern: string
child 10, candidate_lanes: struct<type: string, minItems: int64, maxItems: int64, uniqueItems: bool, items: struct<enum: list<i (... 14 chars omitted)
child 0, type: string
child 1, minItems: int64
child 2, maxItems: int64
child 3, uniqueItems: bool
child 4, items: struct<enum: list<item: string>>
child 0, enum: list<item: string>
child 0, item: string
child 11, classification_basis: struct<const: string>
child 0, const: string
child 12, license_review_required: struct<const: bool>
child 0, const: bool
child 4, boundaries: struct<const: struct<metadata_only: bool, runtime_network: bool, runtime_downloads: bool, artifact_c (... 156 chars omitted)
child 0, const: struct<metadata_only: bool, runtime_network: bool, runtime_downloads: bool, artifact_contents_bundle (... 141 chars omitted)
child 0, metadata_only: bool
child 1, runtime_network: bool
child 2, runtime_downloads: bool
child 3, artifact_contents_bundled: bool
child 4, publisher_claims_verified: bool
child 5, license_compatibility_verified: bool
child 6, execution_readiness_verified: bool
child 7, proposal_authority: bool
additionalProperties: bool
to
{'$schema': Value('string'), '$id': Value('string'), 'title': Value('string'), 'description': Value('string'), 'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'_format': {'const': Value('string')}, 'catalog_version': {'const': Value('timestamp[s]')}, 'observed_on': {'const': Value('timestamp[s]')}, 'sources': {'type': Value('string'), 'minItems': Value('int64'), 'maxItems': Value('int64'), 'items': {'type': Value('string'), 'additionalProperties': Value('bool'), 'required': List(Value('string')), 'properties': {'source_id': {'$ref': Value('string')}, 'title': {'$ref': Value('string')}, 'origin': {'enum': List(Value('string'))}, 'resource_kind': {'enum': List(Value('string'))}, 'repository_id': {'type': Value('string'), 'minLength': Value('int64'), 'maxLength': Value('int64')}, 'revision': {'type': Value('string'), 'minLength': Value('int64'), 'maxLength': Value('int64')}, 'path': {'oneOf': List({'type': Value('string'), 'minLength': Value('int64'), 'maxLength': Value('int64')})}, 'evidence_sha256': {'type': Value('string'), 'pattern': Value('string')}, 'canonical_url': {'type': Value('string'), 'format': Value('string'), 'pattern': Value('string')}, 'evidence_url': {'type': Value('string'), 'format': Value('string'), 'pattern': Value('string')}, 'candidate_lanes': {'type': Value('string'), 'minItems': Value('int64'), 'maxItems': Value('int64'), 'uniqueItems': Value('bool'), 'items': {'enum': List(Value('string'))}}, 'classification_basis': {'const': Value('string')}, 'license_review_required': {'const': Value('bool')}}}}, 'boundaries': {'const': {'metadata_only': Value('bool'), 'runtime_network': Value('bool'), 'runtime_downloads': Value('bool'), 'artifact_contents_bundled': Value('bool'), 'publisher_claims_verified': Value('bool'), 'license_compatibility_verified': Value('bool'), 'execution_readiness_verified': Value('bool'), 'proposal_authority': Value('bool')}}}, '$defs': {'id': {'type': Value('string'), 'minLength': Value('int64'), 'maxLength': Value('int64'), 'pattern': Value('string')}, 'text': {'type': Value('string'), 'minLength': Value('int64'), 'maxLength': Value('int64'), 'pattern': Value('string')}}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
AgentTool DeepSeek Primary-Source Lead Catalog
This is the source-controlled Hugging Face Dataset companion for
@agenttool/deepseek-kingdom@0.1.0-dev.0. It carries 18 exact, official
DeepSeek primary-source metadata leads for provenance review. The intended
public Dataset ID is Yu-and-Ai/kingdom-deepseek-primary-sources; that name is
an intended identifier only, not a claim that a Hub repository already exists
or was created, uploaded, or verified by this source artifact.
The catalog is one closed JSON document, not a collection of training or evaluation rows. It can help a reviewer locate exact GitHub commits, Hugging Face commits, and versioned arXiv papers before deciding whether any separate asset is suitable for a KINGDOM research proposal.
Source binding
| Field | Exact value |
|---|---|
| Git repository | https://github.com/cambridgetcg/agenttool |
| Merged source commit | 5018d944838fc755bb01c5dd1d82d5cf8bf3b0ba |
| Source tag | deepseek-kingdom-v0.1.0-dev.0 |
| Package | @agenttool/deepseek-kingdom |
| Package version | 0.1.0-dev.0 |
| Catalog format | agenttool.deepseek-source-catalog/0.1 |
| Catalog canonical SHA-256 | sha256:81c89c027ba5a53d2402c3c99bbf685e307c6c294f2d41b5e03ab07df5ccf4a9 |
| Catalog raw-file SHA-256 | 6eaf0653a9eedb2328aab23e9c217acb40deedc968395243a2c5289d66e5a703 |
source-manifest.json binds these facts and the exact byte hash of every
companion payload. It deliberately excludes itself to avoid a circular hash.
Files
official-deepseek-primary-sources.jsonis an exact byte copy of the package catalog at the bound commit.agenttool-deepseek-source-catalog-v0.1.schema.jsonis an exact byte copy of its closed JSON Schema.source-manifest.jsonrecords source identity, file sizes, hashes, and explicit non-capabilities.LICENSEandNOTICEstate the companion and upstream-license boundary.
There is no data_files configuration because the catalog object must not be
presented as sample rows by the Dataset Viewer.
Intended use
Use these records only as metadata leads. Independently retain and verify the referenced evidence bytes, review each asset's own license and terms, and perform the necessary rights, privacy, safety, quality, and acceptance review before any downstream use. Candidate lanes and source associations are researcher-supplied classifications, not findings by Hugging Face, DeepSeek, KARMA, or KINGDOM.
Boundaries
This companion includes no upstream assets, dataset rows, source code, paper contents, model-card contents, or model weights. It neither establishes truth nor verifies safety, license compatibility, proposal acceptance, or KARMA authority. It performs no inference, Hugging Face Jobs, paid or free compute, credential access, network fetch, graph write, upload, Hub repository creation, publication, or deployment.
A pinned revision and SHA-256 identify bytes only when those bytes are independently obtained and checked. They do not prove authorship, endorsement, correctness, suitability, consent, or legal permission.
License and rights boundary
Apache-2.0 covers this AgentTool companion metadata, schema, and documentation. It does not relicense any referenced repository, dataset, paper, model, code, weight, card, or other upstream asset. Every prospective upstream asset requires its own license and rights review before use.
DeepSeek, Hugging Face, arXiv, KARMA, KINGDOM, and other referenced names and marks belong to their respective owners. Reference does not imply affiliation or endorsement.
Local verification
From packages/deepseek-kingdom in this source tree:
cmp hf-dataset/official-deepseek-primary-sources.json sources/official-deepseek-primary-sources.json
cmp hf-dataset/agenttool-deepseek-source-catalog-v0.1.schema.json schema/agenttool-deepseek-source-catalog-v0.1.schema.json
jq empty hf-dataset/*.json
bun run ci
These checks are local and credential-free. They do not contact or mutate the Hugging Face Hub.
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