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
name: string
private: bool
type: string
description: string
maintenance: struct<>
schema_version: int64
legal: struct<>
ai_registry: struct<model_configs: list<item: struct<id: string, hf_id: string, provider: string, tier: string>>, (... 79 chars omitted)
  child 0, model_configs: list<item: struct<id: string, hf_id: string, provider: string, tier: string>>
      child 0, item: struct<id: string, hf_id: string, provider: string, tier: string>
          child 0, id: string
          child 1, hf_id: string
          child 2, provider: string
          child 3, tier: string
  child 1, agent_configs: list<item: struct<id: string, role: string, model_id: string>>
      child 0, item: struct<id: string, role: string, model_id: string>
          child 0, id: string
          child 1, role: string
          child 2, model_id: string
property: struct<notes: string>
  child 0, notes: string
iot: struct<notes: string>
  child 0, notes: string
communication: struct<notes: string>
  child 0, notes: string
commerce: struct<>
human_capital: struct<>
infrastructure: struct<notes: string>
  child 0, notes: string
identity: struct<auth_provider: string, notes: string>
  child 0, auth_provider: string
  child 1, notes: string
to
{'schema_version': Value('int64'), 'identity': {'auth_provider': Value('string'), 'notes': Value('string')}, 'property': {'notes': Value('string')}, 'legal': {}, 'iot': {'notes': Value('string')}, 'commerce': {}, 'human_capital': {}, 'maintenance': {}, 'communication': {'notes': Value('string')}, 'infrastructure': {'notes': Value('string')}, 'ai_registry': {'model_configs': List({'id': Value('string'), 'hf_id': Value('string'), 'provider': Value('string'), 'tier': Value('string')}), 'agent_configs': List({'id': Value('string'), 'role': Value('string'), 'model_id': Value('string')})}}
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
              name: string
              private: bool
              type: string
              description: string
              maintenance: struct<>
              schema_version: int64
              legal: struct<>
              ai_registry: struct<model_configs: list<item: struct<id: string, hf_id: string, provider: string, tier: string>>, (... 79 chars omitted)
                child 0, model_configs: list<item: struct<id: string, hf_id: string, provider: string, tier: string>>
                    child 0, item: struct<id: string, hf_id: string, provider: string, tier: string>
                        child 0, id: string
                        child 1, hf_id: string
                        child 2, provider: string
                        child 3, tier: string
                child 1, agent_configs: list<item: struct<id: string, role: string, model_id: string>>
                    child 0, item: struct<id: string, role: string, model_id: string>
                        child 0, id: string
                        child 1, role: string
                        child 2, model_id: string
              property: struct<notes: string>
                child 0, notes: string
              iot: struct<notes: string>
                child 0, notes: string
              communication: struct<notes: string>
                child 0, notes: string
              commerce: struct<>
              human_capital: struct<>
              infrastructure: struct<notes: string>
                child 0, notes: string
              identity: struct<auth_provider: string, notes: string>
                child 0, auth_provider: string
                child 1, notes: string
              to
              {'schema_version': Value('int64'), 'identity': {'auth_provider': Value('string'), 'notes': Value('string')}, 'property': {'notes': Value('string')}, 'legal': {}, 'iot': {'notes': Value('string')}, 'commerce': {}, 'human_capital': {}, 'maintenance': {}, 'communication': {'notes': Value('string')}, 'infrastructure': {'notes': Value('string')}, 'ai_registry': {'model_configs': List({'id': Value('string'), 'hf_id': Value('string'), 'provider': Value('string'), 'tier': Value('string')}), 'agent_configs': List({'id': Value('string'), 'role': Value('string'), 'model_id': Value('string')})}}
              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.

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Check out the documentation for more information.

BOS-OS — Source of Truth

Single source of truth for the BOS-OS Building Operating System: mesh-connected, local-first, multi-property management (IoT, Leasing, Credit, HR, Edge AI).

This repo is the data/config/build foundation. Application code lives in the monorepo described by docs/MASTER-SPEC.md and consumed by OpenCode via AGENTS.md.

Layout

README.md                          <- this file
AGENTS.md                          <- OpenCode / coding-model project context (READ FIRST)
docs/
  MASTER-SPEC.md                   <- normalized implementation spec (gated source of truth)
  DECISIONS.md                     <- corrections & decision log
schemas/
  source-of-truth.schema.json      <- UNIFIED DOMAIN SCHEMA  [DRAFT — verify fields]
  node_status.schema.json          <- NodeStatus telemetry envelope (L1)
  hive_task.schema.json            <- Hive Router -> Agent -> Model envelope (L4)
  bos-os.schema.json               <- root instance config validation (L5)
config/
  bos-os-config.example.json       <- example instance config
  migrations/0001_initial.js       <- JSON migration w/ up() + down()
  runner/migrate.mjs               <- bootstrap migration runner (up/down/status)
  README.md                        <- config-as-code + migration rules
build/
  parabolaiso/profiles/x86_64/     <- packages.x86_64, airootfs/bos-os-install.sh (partition+swap)
  scripts/
    build-x86_64.sh                <- mkparabolaiso wrapper
    arm-rootfs.sh                  <- armv7h tarball + raw image (Arch ARM path)
  ci/
    build.yml                      <- GitHub Actions matrix (x86_64 ISO + armv7h)
    Dockerfile.parabola            <- Parabola build container
devices/
  net-scripts/                     <- batman-adv.sh, ppp-up.sh, socks5.sh
  telemetry-agent/telemetry.py     <- NodeStatus publisher (UDP/multicast on bat0)
  README.md                        <- device layer notes
apps/                              <- application code location map (code lives in monorepo)
tests/
  l0_gate.sh                       <- L0 boot gate (QEMU, bat0, swap sizing)

Status

  • schemas/source-of-truth.schema.json is DRAFT (generated from Master Spec §2.1). Fields flagged x-note are assumptions awaiting owner review.
  • Build, mesh, telemetry, CI, and migration runner are scaffolded to a working baseline; gates in tests/ must pass before each layer advances.

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