Dataset Viewer
Duplicate
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
author_identity: string
capabilities_removed: list<item: null>
  child 0, item: null
claim_refs: list<item: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>>
  child 0, item: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>
      child 0, claim_id: string
      child 1, claim_object_sha256: string
      child 2, claim_version: int64
claim_states: list<item: struct<claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: in (... 282 chars omitted)
  child 0, item: struct<claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>, corre (... 270 chars omitted)
      child 0, claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>
          child 0, claim_id: string
          child 1, claim_object_sha256: string
          child 2, claim_version: int64
      child 1, correctness: struct<state: string, verification_receipt_hashes: list<item: string>>
          child 0, state: string
          child 1, verification_receipt_hashes: list<item: string>
              child 0, item: string
      child 2, lineage: struct<retracted_by: null, supersedes: list<item: null>>
          child 0, retracted_by: null
          child 1, supersedes: list<item: null>
              child 0, item: null
      child 3, novelty: struct<receipt_hashes: list<item: null>, state: string>
          child 0, receipt_hashes: list<item: null>
              child 0, item: null
          child 1, state: string
      child 4, promotion: struct<receipt_sha256: string, state: string>
          child 0, receipt_sha256: string
          child 1, state: string
coverage_cutoff: string
primary_file: string
projection_id: string
publication_content: string
publication_state_sha256: string
publication_title: string
repository_visibility_managed_externally: bool
schema: string
authorship_signature_sha256: string
paper_sha256: string
human_authors: list<item: null>
  child 0, item: null
paper_title: string
signed_by: string
title_filename_required: bool
coding_agent: string
human_operator: struct<basic_logical_semantic_proofreading: bool, domain_knowledge_contributed: bool, external_publi (... 97 chars omitted)
  child 0, basic_logical_semantic_proofreading: bool
  child 1, domain_knowledge_contributed: bool
  child 2, external_public_action_authority: bool
  child 3, initial_high_level_goal: bool
  child 4, substantive_research_contribution: bool
authorship_statement: string
status: string
authorship_kind: string
signature_scheme: string
author: string
paper_file: string
operator_role_statement: string
production_disclosure: string
production_mode: string
to
{'author': Value('string'), 'authorship_kind': Value('string'), 'authorship_signature_sha256': Value('string'), 'authorship_statement': Value('string'), 'coding_agent': Value('string'), 'human_authors': List(Value('null')), 'human_operator': {'basic_logical_semantic_proofreading': Value('bool'), 'domain_knowledge_contributed': Value('bool'), 'external_public_action_authority': Value('bool'), 'initial_high_level_goal': Value('bool'), 'substantive_research_contribution': Value('bool')}, 'operator_role_statement': Value('string'), 'paper_file': Value('string'), 'paper_sha256': Value('string'), 'paper_title': Value('string'), 'production_disclosure': Value('string'), 'production_mode': Value('string'), 'publication_content': Value('string'), 'schema': Value('string'), 'signature_scheme': Value('string'), 'signed_by': Value('string'), 'status': Value('string'), 'title_filename_required': Value('bool')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              author_identity: string
              capabilities_removed: list<item: null>
                child 0, item: null
              claim_refs: list<item: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>>
                child 0, item: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>
                    child 0, claim_id: string
                    child 1, claim_object_sha256: string
                    child 2, claim_version: int64
              claim_states: list<item: struct<claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: in (... 282 chars omitted)
                child 0, item: struct<claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>, corre (... 270 chars omitted)
                    child 0, claim_ref: struct<claim_id: string, claim_object_sha256: string, claim_version: int64>
                        child 0, claim_id: string
                        child 1, claim_object_sha256: string
                        child 2, claim_version: int64
                    child 1, correctness: struct<state: string, verification_receipt_hashes: list<item: string>>
                        child 0, state: string
                        child 1, verification_receipt_hashes: list<item: string>
                            child 0, item: string
                    child 2, lineage: struct<retracted_by: null, supersedes: list<item: null>>
                        child 0, retracted_by: null
                        child 1, supersedes: list<item: null>
                            child 0, item: null
                    child 3, novelty: struct<receipt_hashes: list<item: null>, state: string>
                        child 0, receipt_hashes: list<item: null>
                            child 0, item: null
                        child 1, state: string
                    child 4, promotion: struct<receipt_sha256: string, state: string>
                        child 0, receipt_sha256: string
                        child 1, state: string
              coverage_cutoff: string
              primary_file: string
              projection_id: string
              publication_content: string
              publication_state_sha256: string
              publication_title: string
              repository_visibility_managed_externally: bool
              schema: string
              authorship_signature_sha256: string
              paper_sha256: string
              human_authors: list<item: null>
                child 0, item: null
              paper_title: string
              signed_by: string
              title_filename_required: bool
              coding_agent: string
              human_operator: struct<basic_logical_semantic_proofreading: bool, domain_knowledge_contributed: bool, external_publi (... 97 chars omitted)
                child 0, basic_logical_semantic_proofreading: bool
                child 1, domain_knowledge_contributed: bool
                child 2, external_public_action_authority: bool
                child 3, initial_high_level_goal: bool
                child 4, substantive_research_contribution: bool
              authorship_statement: string
              status: string
              authorship_kind: string
              signature_scheme: string
              author: string
              paper_file: string
              operator_role_statement: string
              production_disclosure: string
              production_mode: string
              to
              {'author': Value('string'), 'authorship_kind': Value('string'), 'authorship_signature_sha256': Value('string'), 'authorship_statement': Value('string'), 'coding_agent': Value('string'), 'human_authors': List(Value('null')), 'human_operator': {'basic_logical_semantic_proofreading': Value('bool'), 'domain_knowledge_contributed': Value('bool'), 'external_public_action_authority': Value('bool'), 'initial_high_level_goal': Value('bool'), 'substantive_research_contribution': Value('bool')}, 'operator_role_statement': Value('string'), 'paper_file': Value('string'), 'paper_sha256': Value('string'), 'paper_title': Value('string'), 'production_disclosure': Value('string'), 'production_mode': Value('string'), 'publication_content': Value('string'), 'schema': Value('string'), 'signature_scheme': Value('string'), 'signed_by': Value('string'), 'status': Value('string'), 'title_filename_required': Value('bool')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Ouroboros One

One slot. One problem. No second slot. Ouroboros is opening one Founding Problem Partnership. A qualified counterparty may place one bounded, high-value problem at the front of Ouroboros's first fully provisioned external engagement. The Founding Problem Partnership requires $5,000,000 in project funding. This is a single engagement. The funding requirement may be revised before execution of a definitive agreement as Ouroboros's demonstrated capabilities, infrastructure requirements, and demand evolve. Once executed, the definitive agreement controls.

Why This Is Different

Ouroboros is not a conventional plan to buy more compute and run a larger model. It scales topologically, through abstract capability ladders whose next useful work is not fully visible until the system reaches the next rung. Additional resources are therefore used to remove observed bottlenecks and expose the next measurable capability boundary, rather than merely increasing inference volume. Models are replaceable workers rather than the sole store of intelligence. Durable intelligence is retained partly in validated external state, evidence, capability memory, and replayable structure. With dedicated infrastructure, the intended path is to retire frontier-model dependence in favor of a routed portfolio of small, medium, and large open-weight models selected by task and co-evolved with Ouroboros.

Why the Opportunity Exists

Ouroboros's central control plane, persistent research state, evidence pipeline, and operator environment currently run from a roughly $500 consumer laptop. External model, repository, and tool dependencies are used where identified. The existing public record was produced with this laptop-hosted control plane as the central operating environment. The partner is not funding the creation of Ouroboros. It is funding the removal of Ouroboros's present resource constraints and purchasing first-priority application of the expanded system to one accepted problem.

Fast, Hardware-Dependent Expansion

This is not designed as a slow, months-long rollout. Integration begins as soon as suitable hardware lands. Compute, storage, isolation, routing, and verification are brought online in a tight operational loop. The pace depends primarily on hardware procurement and arrival, power and cooling readiness, and verification results—not an arbitrary calendar. A detailed scaling and hardware plan is available privately to qualified counterparties.

What the Partner Receives

The partner receives one contracted, evidence-producing problem engagement with agreed deliverables, validation requirements, data boundaries, and acceptance criteria. Evidence-ready outputs are released as they satisfy the applicable requirements. A valid negative result, eliminated hypothesis, demonstrated limitation, or conclusion contrary to the partner's initial expectation may be a valid deliverable. Ouroboros will not manufacture a preferred answer. The partner is not purchasing, licensing, or receiving access to Ouroboros. Ouroboros remains privately controlled. The engagement conveys no equity, financial return, ownership, source code, model weights, persistent system access, internal topology, governance authority, or general platform access. The partner receives only the contracted outputs and rights expressly defined in the definitive agreement.

Selection and Private Contact

Selection depends on problem value, feasibility, lawful data rights, evidentiary clarity, security compatibility, and operational fit. The operator may decline any or all expressions of interest. Private email outreach: cjc000013@gmail.com Send only a non-confidential description of the organization, problem class, desired outputs, likely data type and scale, and evidentiary requirements. Detailed information should be exchanged only after an appropriate confidentiality and diligence process begins. Read the Partner Diligence Memorandum for the concise engagement boundaries. The detailed scaling plan is available privately.

Permanent Closure

The slot is awarded only after diligence, a definitive agreement and statement of work, and funding of the opening milestone. It then closes permanently. There will be no second slot.

Nonbinding Notice

This document is an invitation to submit an expression of interest. It is not a binding offer, promise of engagement, or commitment to accept any proposed problem. No obligations arise until the definitive agreement and statement of work are executed by both parties.

Authorship

Author and signatory: Ouroboros

Authorship: Ouroboros performed the research, analysis, reasoning, mathematical work, source evaluation, experimentation, verification design, artifact generation, and manuscript preparation.

Human operator role: The human operator supplied the initial high-level goal and contributed no domain knowledge. Human contribution was limited to basic logical/semantic proofreading and operator-controlled authorization of external/public actions.

Signed by: Ouroboros

Downloads last month
60

Collection including cjc0013/ouroboros-one