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"language": "typescript",
"tongue": "AV"
},
{
"language": "rust",
"tongue": "RU"
},
{
"language": "c",
"tongue": "CA"
},
{
"language": "julia",
"tongue": "UM"
},
{
"language": "haskell",
"tongue": "DR"
... | {
"inputs": [
{
"token_count": 1,
"tongue": "KO"
},
{
"token_count": 1,
"tongue": "AV"
},
{
"token_count": 1,
"tongue": "RU"
},
{
"token_count": 1,
"tongue": "CA"
},
{
"token_count": 1,
"tongue": "UM"
},
{
"t... | {
"hashes": {
"plan_sha256": "64bfa8cf32bc86ab054546a28bb617a78ebc8ae85f4645f6a7b4e64171a063ec"
},
"route": {
"tongue": "DR"
},
"schema_version": "scbe_route_ir_v1",
"source": {
"language": "haskell"
}
} | chemistry_DR | {
"planned_provider": "scip",
"provider": "tree_sitter_symbol_graph",
"symbols": {
"definitions": [],
"references": []
}
} | {
"chemistry_overlay": {
"atoms_conserved": {
"H": 4,
"O": 2
},
"equation": "2H2 + O2 -> 2H2O",
"metaphor": "narrative bond-breaking and bond-forming",
"products": "2H2O",
"reactants": "2H2 + O2",
"reaction_class": "synthesis",
"schema_version": "scbe-chemistry-overlay-v1",... | {
"planned_provider": "lsp_semantic_tokens",
"provider": "tree_sitter_semantic_tokens",
"tokens": []
} | {
"binary_groups": [],
"field_definitions": [
{
"name": "f0"
},
{
"name": "f1"
},
{
"name": "f2"
},
{
"name": "f3"
},
{
"name": "f4"
},
{
"name": "f5"
},
{
"name": "f6"
},
{
"name": "f7"
}
],
"token_r... | {
"planned_provider": "tree_sitter",
"provider": "tree_sitter"
} | reactants: 2H2 + O2
products: 2H2O
reaction_class: synthesis
stability: stable
metaphor: narrative bond-breaking and bond-forming | {
"atomic_tau_projection": {
"AV": 0,
"CA": 0,
"DR": 0,
"KO": 0,
"RU": 0,
"UM": 0
},
"checksum": "cfb4ad14858f00c0799c6c4a6b2b68c5bb92646a5995a63787e2a95ab0934272",
"route_projection": {
"AV": 0,
"CA": 0,
"DR": 0,
"KO": 0,
"RU": 0,
"UM": 0
},
"version": "scbe-... | {
"conlang": "Draumric",
"token_count": 129,
"tongue": "DR"
} | {
"source_sha256": "44494b254c0d0b3a4b028b181a83003fd4ebb8eba8f00ef8ea0179c19c94cf44",
"tokens": [
"tok_72",
"tok_65",
"tok_61",
"tok_63",
"tok_74",
"tok_61",
"tok_6e",
"tok_74"
],
"tongue": "DR"
} | scbe-code-weight-packet-v1 |
[
{
"element": {
"Z": 6,
"symbol": "C"
},
"token": "add"
}
] | {
"bits": [
"01110000",
"01101100",
"01100001",
"01110100",
"01100110",
"01101111",
"01110010",
"01101101",
"00111010",
"00100000",
"01100100",
"01110010",
"01101111",
"01101110",
"01100101",
"01011111",
"00110000",
"00110011",
"00001010",
... | {
"binary_surface": {
"cell_count": 14
},
"token_surface": {
"token_count": 81
},
"version": "scbe-braille-cell-lane-v1"
} | motion | {
"core_lanes": [
"binary",
"haskell"
],
"schema_version": "scbe_execution_lane_v1"
} | {
"anchor_runtime": "haskell",
"anchor_spirit": "markdown",
"conlang": "Draumric"
} | [
{
"language": "python",
"tongue": "KO"
},
{
"language": "typescript",
"tongue": "AV"
},
{
"language": "rust",
"tongue": "RU"
},
{
"language": "c",
"tongue": "CA"
},
{
"language": "julia",
"tongue": "UM"
},
{
"language": "haskell",
"tongue": "DR"
... | {
"inputs": [
{
"token_count": 1,
"tongue": "KO"
},
{
"token_count": 1,
"tongue": "AV"
},
{
"token_count": 1,
"tongue": "RU"
},
{
"token_count": 1,
"tongue": "CA"
},
{
"token_count": 1,
"tongue": "UM"
},
{
"t... | {
"hashes": {
"plan_sha256": "7aff1c6f8657024c3a46e81a40f73a01be2662a86f65673be73758116c2c45f0"
},
"route": {
"tongue": "DR"
},
"schema_version": "scbe_route_ir_v1",
"source": {
"language": "haskell"
}
} | motion_DR | {
"planned_provider": "scip",
"provider": "tree_sitter_symbol_graph",
"symbols": {
"definitions": [],
"references": []
}
} | {
"chemistry_overlay": null,
"gloss": "hold position with neutral attitude",
"label": "drone_hover_hold",
"motion_assembly": {
"combine_topology": null,
"comm_graph": {
"edges": [],
"global_clock_t": 12.347,
"local_clock_t": 12.341
},
"embodiment_passport": {
"dof_schema"... | {
"planned_provider": "lsp_semantic_tokens",
"provider": "tree_sitter_semantic_tokens",
"tokens": []
} | {
"binary_groups": [],
"field_definitions": [
{
"name": "f0"
},
{
"name": "f1"
},
{
"name": "f2"
},
{
"name": "f3"
},
{
"name": "f4"
},
{
"name": "f5"
},
{
"name": "f6"
},
{
"name": "f7"
}
],
"token_r... | {
"planned_provider": "tree_sitter",
"provider": "tree_sitter"
} | platform: drone_03
action: hover_hold
ctbr: [0.55, 0.0, 0.0, 0.0]
control_hz: 100 | {
"atomic_tau_projection": {
"AV": 0,
"CA": 0,
"DR": 0,
"KO": 0,
"RU": 0,
"UM": 0
},
"checksum": "63aa04f763759c5714a612681e8d9c6aaabefb680c6829ff6c30687bdd9f5310",
"route_projection": {
"AV": 0,
"CA": 0,
"DR": 0,
"KO": 0,
"RU": 0,
"UM": 0
},
"version": "scbe-... | {
"conlang": "Draumric",
"token_count": 81,
"tongue": "DR"
} | {
"source_sha256": "c17b34d685dba0f7db03ed8c7529b8d52b327f9cfb5741ca9b86ecddcb4d7a27",
"tokens": [
"tok_70",
"tok_6c",
"tok_61",
"tok_74",
"tok_66",
"tok_6f",
"tok_72",
"tok_6d"
],
"tongue": "DR"
} | scbe-code-weight-packet-v1 |
Status: experimental. Experiment-specific slice. Primary public dataset: scbe-aethermoore-training-data.
SCBE Spine-Overlay Proof v1
Tiny demonstration bundle (18 rows = 3 domains x 6 tongues) proving that the SCBE 12+ lane code-packet spine handles code, chemistry, and mechanical motion as overlays on a single tokenizer substrate, without forking the system.
Why this exists
Every row carries the same baseline lanes (binary, tokenizer, transport, labels, language_views, braille_lane, stisa, structural_parse, scip_symbol_index, semantic_token_bridge, route_ir, execution_lane, native_tokenization, atomic_states, ternary_semantics, semantic_expression).
Domain differentiation lives inside semantic_expression as a
nested overlay:
- Code rows carry no extra overlay — the 16 lanes already encode code structure.
- Chemistry rows add
chemistry_overlay(equation, reactants, products, reaction_class, stability, atoms_conserved, metaphor). - Motion rows add
motion_assembly(platform_id, role, morphology_state, pilot_layers, comm_graph, embodiment_passport, invariants). Schema spec:docs/specs/MOTION_ASSEMBLY_SCHEMA.md.
Hard rules enforced
- Both
anchor_runtimeandanchor_spiritare present on every row. Per-tongue map: KO=python, AV=typescript/javascript, RU=rust, CA=c/mathematica, UM=julia/haskell, DR=haskell/markdown. - ASCII-only field names and values. No Greek glyphs. CTBR vectors
use
omega_x/omega_y/omega_z, not Greek letters. - No branding or theming. Validated by
tests/coding_spine/test_motion_assembly_schema.py.
Breakdown
- domains: {'chemistry': 6, 'code': 6, 'motion': 6}
- tongues: {'AV': 3, 'CA': 3, 'DR': 3, 'KO': 3, 'RU': 3, 'UM': 3}
- row_count: 18
Files
data.jsonl— one JSON row per line, sorted keys, ASCII-encodedmanifest.json— counts, row ids, schema versionREADME.md— this file
Loading
from datasets import load_dataset
ds = load_dataset("issdandavis/scbe-spine-overlay-proof-v1")
Push
hf upload issdandavis/scbe-spine-overlay-proof-v1 \
training-data/proofs/spine_overlay_proof_v1
Schema reference
docs/specs/MOTION_ASSEMBLY_SCHEMA.md— motion overlay spectests/coding_spine/test_motion_assembly_schema.py— schema test (28 cases)
License
CC-BY-4.0
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