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
method: string
generated_at: string
free_parameters: int64
authority_sha256: string
stance: string
n_claims: int64
claims: list<item: struct<id: string, tier: string, statement: string, evidence: struct<authority_ok: bool, (... 938 chars omitted)
child 0, item: struct<id: string, tier: string, statement: string, evidence: struct<authority_ok: bool, authority_s (... 926 chars omitted)
child 0, id: string
child 1, tier: string
child 2, statement: string
child 3, evidence: struct<authority_ok: bool, authority_sha256: string, float_engine_ok: bool, all_green: bool, pass: i (... 851 chars omitted)
child 0, authority_ok: bool
child 1, authority_sha256: string
child 2, float_engine_ok: bool
child 3, all_green: bool
child 4, pass: int64
child 5, fail: int64
child 6, pooled_median_of_domain_medians_pct: double
child 7, max_pooled_domain_median_pct: double
child 8, worst_scalar_domain: string
child 9, worst_scalar_max_error_pct: double
child 10, verdict: string
child 11, pooled: double
child 12, max: double
child 13, within: int64
child 14, n: int64
child 15, baseline: double
child 16, ok: bool
child 17, max_rel_error_pct: double
child 18, median_rel_error_pct: double
child 19, n_core: int64
child 20, n_emergence_core: int64
child 21, n_total:
...
dictions: int64
child 24, n_domains: int64
child 25, domains: list<item: string>
child 0, item: string
child 26, n_engineering_fuel_related: int64
child 27, source: string
child 28, free_parameters: int64
child 29, domain: string
child 30, branch: string
child 31, note: string
child 32, benchmark_domains_green: string
child 33, pooled_median_of_domains_pct: double
child 34, worst_domain_max_scalar_pct: double
child 35, unique_formulas_live_ok: double
child 4, bold: bool
core_panel: list<item: struct<domain: string, S: double, D_eff: int64, regime: string, cluster: string, T1: doub (... 28 chars omitted)
child 0, item: struct<domain: string, S: double, D_eff: int64, regime: string, cluster: string, T1: double, T2: dou (... 16 chars omitted)
child 0, domain: string
child 1, S: double
child 2, D_eff: int64
child 3, regime: string
child 4, cluster: string
child 5, T1: double
child 6, T2: double
child 7, T3: double
thresholds: struct<green_gate_pooled_median_pct: double, contested_baseline_pct: double>
child 0, green_gate_pooled_median_pct: double
child 1, contested_baseline_pct: double
package: string
version: string
chat_model: string
features: list<item: string>
child 0, item: string
code: string
kaggle: string
theory: string
authority: string
git_commit_hint: string
updated_at: string
to
{'package': Value('string'), 'version': Value('string'), 'updated_at': Value('string'), 'free_parameters': Value('int64'), 'authority': Value('string'), 'code': Value('string'), 'theory': Value('string'), 'chat_model': Value('string'), 'kaggle': Value('string'), 'features': List(Value('string')), 'git_commit_hint': 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
method: string
generated_at: string
free_parameters: int64
authority_sha256: string
stance: string
n_claims: int64
claims: list<item: struct<id: string, tier: string, statement: string, evidence: struct<authority_ok: bool, (... 938 chars omitted)
child 0, item: struct<id: string, tier: string, statement: string, evidence: struct<authority_ok: bool, authority_s (... 926 chars omitted)
child 0, id: string
child 1, tier: string
child 2, statement: string
child 3, evidence: struct<authority_ok: bool, authority_sha256: string, float_engine_ok: bool, all_green: bool, pass: i (... 851 chars omitted)
child 0, authority_ok: bool
child 1, authority_sha256: string
child 2, float_engine_ok: bool
child 3, all_green: bool
child 4, pass: int64
child 5, fail: int64
child 6, pooled_median_of_domain_medians_pct: double
child 7, max_pooled_domain_median_pct: double
child 8, worst_scalar_domain: string
child 9, worst_scalar_max_error_pct: double
child 10, verdict: string
child 11, pooled: double
child 12, max: double
child 13, within: int64
child 14, n: int64
child 15, baseline: double
child 16, ok: bool
child 17, max_rel_error_pct: double
child 18, median_rel_error_pct: double
child 19, n_core: int64
child 20, n_emergence_core: int64
child 21, n_total:
...
dictions: int64
child 24, n_domains: int64
child 25, domains: list<item: string>
child 0, item: string
child 26, n_engineering_fuel_related: int64
child 27, source: string
child 28, free_parameters: int64
child 29, domain: string
child 30, branch: string
child 31, note: string
child 32, benchmark_domains_green: string
child 33, pooled_median_of_domains_pct: double
child 34, worst_domain_max_scalar_pct: double
child 35, unique_formulas_live_ok: double
child 4, bold: bool
core_panel: list<item: struct<domain: string, S: double, D_eff: int64, regime: string, cluster: string, T1: doub (... 28 chars omitted)
child 0, item: struct<domain: string, S: double, D_eff: int64, regime: string, cluster: string, T1: double, T2: dou (... 16 chars omitted)
child 0, domain: string
child 1, S: double
child 2, D_eff: int64
child 3, regime: string
child 4, cluster: string
child 5, T1: double
child 6, T2: double
child 7, T3: double
thresholds: struct<green_gate_pooled_median_pct: double, contested_baseline_pct: double>
child 0, green_gate_pooled_median_pct: double
child 1, contested_baseline_pct: double
package: string
version: string
chat_model: string
features: list<item: string>
child 0, item: string
code: string
kaggle: string
theory: string
authority: string
git_commit_hint: string
updated_at: string
to
{'package': Value('string'), 'version': Value('string'), 'updated_at': Value('string'), 'free_parameters': Value('int64'), 'authority': Value('string'), 'code': Value('string'), 'theory': Value('string'), 'chat_model': Value('string'), 'kaggle': Value('string'), 'features': List(Value('string')), 'git_commit_hint': 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.
FSOT Universe Monte Carlo Intelligence
Simulate the universe under Fluid Spacetime Omni-Theory (FSOT) — discover pathways and physics.
This is not a market product.
| Author | Damian Arthur Palumbo |
| Authority pin | D1D38A · free_parameters = 0 |
| Theory law court | FSOT-2.1-Lean |
| Code | FSOT-Monte-Carlo-Intelligence |
| Chat model weights | dappalumbo91/FSOT-Qwen2.5-7B-Instruct |
Claim tiers (do not conflate)
| Tier | Meaning |
|---|---|
| MEASURED | Pin, zero free params, archive green-gate ≤0.5% numbers |
| STRUCTURE | Multipath map occupancy / flip rates (not the green gate) |
| PREREG | PRED-* until lab pass under discriminant |
| Soft court | promote_candidate — not Lean-proved |
What it does
- 402-domain atlas (35 core + 367 extension panels) under one fluid law
- Multipath Monte Carlo with observer collapse as thought
- Connective tissue graph + tissue theses
- PRED bench-closure with kill criteria + priority lab queue
- Flip-hotspot experiment protocols
- Soft formal court → Lean candidates (batch, not per-path)
- Qwen mouth (docs RAG + optional adaptive LoRA on articulation only)
Quickstart
git clone https://github.com/dappalumbo91/FSOT-Monte-Carlo-Intelligence.git
cd FSOT-Monte-Carlo-Intelligence
pip install -r requirements.txt
python -m fsot_mc gate
python -m fsot_mc improve --n-paths 64
python -m fsot_mc serve --port 8765
Windows: double-click START_FSOT.bat after first install.
Visual UI (v1.5)
- 2D / 3D toggle in the top bar (Three.js CDN for 3D)
- As Above So Below: hue = physics spine · ring/height = D_eff · pie sectors = kinship
- Expansion shells: center = seeds/K · outer = higher scale · bright axons = domain signals
free_parameters = 0 · Research only · MIT
Repos
- Downloads last month
- 45