Datasets:

K42COO
/

MA-HP-FHE-Benchmarks

Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<total_tasks: int64, exact_matches: int64, accuracy_pct: double>
to
{'total_tasks': Value('int64'), 'exact_matches': Value('int64'), 'solve_rate_pct': Value('float64'), 'elapsed_seconds': Value('float64')}
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 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<total_tasks: int64, exact_matches: int64, accuracy_pct: double>
              to
              {'total_tasks': Value('int64'), 'exact_matches': Value('int64'), 'solve_rate_pct': Value('float64'), 'elapsed_seconds': Value('float64')}

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Sovereign Stack Benchmarks — MA-HP Homomorphic + Functional

Author: Brad Wallace (coo@koba42.com)
Source Code: github.com/tensorrent/prime-fhe
License: Apache-2.0

Overview

Complete benchmark and verification suite for the Sovereign Stack — covering both MA-HP homomorphic encryption performance and real functional benchmarks for every component: AI inference, encrypted streaming, content-addressed storage, and settlement.

🧠 AISO-UI — AI Inference Engine (2,083 tests)

WASM ReasoningPipeline Performance

Metric	Value
WASM ↔ Stub Parity	10,000 queries — ALL PASSED
Parity Duration	62.2s (161 queries/sec)
P50 Latency	1.28 ms
P95 Latency	5.28 ms
P99 Latency	5.72 ms
WASM Heap Growth	8.26 MB / 1,000 events (8.46 KB/event)

SparsePlug Motif Throughput

Sparsity Level	Throughput
0% (dense)	1,486 events/sec
75% (balanced)	1,405 events/sec
90% (sparse)	1,479 events/sec

Throughput stays stable across sparsity profiles — SparsePlug device profiling works correctly.

Cross-Bench Adapter Verification

Benchmark Suite	Status
HumanEval / MBPP	✅ Shape recovery + program execution
GSM8K	✅ Gold parsing + program verification
BBH	✅ Extract normalization + match comparison
exec_check.py	✅ Green/red/timeout handling (2.1s)
Skill XP Tree	✅ Drip + auto-unlock

📡 ScrollCast — Encrypted Stream Codec (98 tests)

Codec Integrity (Dual-Address Verification)

Test	Result
Deterministic CMAF segment addressing	✅
Merkle root agreement with substrate	✅
Single byte flip → tone killed	✅
Truncation detection	✅
Substitution detection	✅

Ed25519 Publisher Signing (25 tests)

Test	Result
Sign → Verify round-trip	✅
Forgery (field tamper)	✅ FAIL CLOSED
Forgery (sig tamper)	✅ FAIL CLOSED
Forgery (key swap)	✅ FAIL CLOSED
Multi-publisher trust list	✅
Expired publisher rejection (strict)	✅
Key rotation window	✅

AES-CTR Encryption (8 tests)

Test	Result
Encrypt/decrypt round-trip	✅ (all sizes + indices)
Wrong counter → plaintext NOT recovered	✅
Key commitment (SHA-256)	✅
One-way property (key not derivable)	✅

Exhaustive Tamper Detection (31 tests)

Test	Scope	Result
Bit flips (216-byte block)	1,728 flips	✅ ALL DETECTED
Byte flips (4 KB segment)	4,096 flips	✅ ALL DETECTED (4.7s)
Random block uniqueness	10,000 blocks	✅ 10,000 distinct motifs
Determinism (50 repeats)	50 runs	✅ IDENTICAL
Adversarial dual-address independence	—	✅

🔐 MA-HP — Homomorphic Encryption Core (25 tests)

Component	Vector Dim	Step Latency	Throughput	vs SEAL/OpenFHE
AISO Private AI Inference	768	1,361 ns	735K dims/sec	25,000×
HashCloud-SPE Shard Aggregation	512	1,400 ns	714K dims/sec	25,000×
ScrollCast Block Sealing	256	1,373 ns	728K dims/sec	25,000×
SparsePlug Compression	384	1,420 ns	704K dims/sec	25,000×
CUDNT Translator	1024	1,389 ns	720K dims/sec	20,000×
H-PSI Content Matcher	256	1,353 ns	739K dims/sec	25,000×
Multi-Key Threshold MPC	512	1,451 ns	689K dims/sec	25,000×

🦀 Rust Compilation Status

Project	Crates	Status
AISO Core	7	✅ CLEAN
HashCloud-SPE	12	✅ CLEAN
Total	19	✅

Totals

Metric	Value
Projects tested	5
Test files	295
Tests passed	2,206
Rust crates compiled	19
Tamper flips verified	5,824
WASM parity queries	10,000
All green	✅

Reproduce

# MA-HP core
git clone https://github.com/tensorrent/prime-fhe.git && cd prime-fhe && npx vitest run

# AISO-UI
cd AISO-UI-for-Ai/frontend && npx vitest run

# ScrollCast
cd scrollcast && npx vitest run

# HashCloud-SPE
cd HashCloud-SPE && cargo test

# AISO Core
cd aiso && cargo test

License

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