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Data dictionary and provenance
All numerical records are synthetic. No experimental measurement or trained model is included. Scientific source version: 1.0.0. Distribution and export version: 1.0.1. Each JSONL line is one UTF-8 JSON object; schemas are in ../schemas/. export_manifest.json records counts and hashes. The common Hub split name train is an access convention, not a training/test claim.
Configurations
| Configuration | Rows | Source | Meaning |
|---|---|---|---|
kinetic_runs |
775 | results/baseline.csv (30), sweep.csv (720), fusion_sweep.csv (25) |
Outcomes of six protocols under an uncalibrated CTMC and post-capture bookkeeping |
threshold_recurrence |
140 | results/threshold.csv |
Chosen recurrence values with clipping to [0,1]; analytical illustration |
interface_codebook |
128 | results/example_codebook.csv |
Logical words, alphabet size 4, length 8, minimum Hamming distance 3 |
claims |
12 | CLAIMS.json |
Claim IDs, classifications, assumptions, evidence and exclusions |
research_sections |
45 | Scientific Markdown sources | Exact source-text chunks with source-line ranges and content hashes |
references |
32 | docs/REFERENCES.md |
Bibliographic records and source-access limitations |
Total: 1,132 records across heterogeneous configurations. Counts are not the number of experiments, independent measurements or distinct scientific findings. Baseline and parameter/fusion sweeps intentionally repeat some parameter settings. Do not pool them as independent replicates or randomly split them into a predictive benchmark without grouping identical settings.
Kinetic model fields
Parameters are nominal inputs to the study. results/run_manifest.json supplies omitted fixed parameters; code/simulate.py is the exact implementation. The random protocol deliberately uses an effective energy gap of zero even when the requested nominal gap_kbt field is nonzero. Other protocols use the nominal gap.
| Field | Type / unit | Interpretation |
|---|---|---|
record_id |
string | Stable within this version; source study plus one-based data-row index |
study |
enum | baseline, parameter_sweep, or fusion_floor |
evidence_type |
string | uncalibrated_local_socket_CTMC for every row |
mode |
enum | random, coded, hierarchical, proofreading, proofreading_hierarchy, locking |
N |
integer, components | Nominal tree-object component count; hierarchical cases use an exact power of b=4 |
gap_kbt |
number, kBT | Nominal total incorrect-versus-correct detachment free-energy gap, not per base |
progress_rate |
number, s^-1 | Forward checking/capture rate; irreversible approximation to driven progression |
dilution_exponent |
number | alpha in c(level)=c0b^[-alpha(level−1)] |
fusion_error |
number, probability | Added error per retained correct join in locking; ignored by other modes |
deadline_s |
number, s | Total allocated stage deadline, including locking delays |
levels |
integer | Number of assembly stages used in this model; not encoding depth in F1 |
correct_fraction |
number, fraction of N−1 joins | Join-count-weighted probability of a retained correct join |
wrong_fraction |
number, fraction of N−1 joins | Join-count-weighted probability of a retained wrong join |
missing_fraction |
number, fraction of N−1 joins | Join-count-weighted uncaptured/lost probability |
wrong_among_captured |
number, conditional fraction | Wrong/(correct+wrong) after bookkeeping; excludes missing joins |
log10_perfect_yield |
number, log10 probability | Logarithm of a product of independent correct-join probabilities, conditional on ideal inputs |
perfect_yield |
number, probability | That conditional product; may be exactly zero due to floating-point underflow |
sum_mean_local_capture_s |
number, s | Sum of single-socket mean capture times, plus locking delays; not time to finish all joins |
expected_progress_events_complete |
number, events | Eventual expected progress events summed over joins, including rejected attempts; not Joules or actual finite-deadline energy |
material_families |
integer | Fixed bookkeeping value 6, not optimized library cardinality |
active_decorated_variants |
integer | Maximum simultaneous logical variants in the model: N for flat cases or b for hierarchical cases |
recognition_symbols |
integer | Assumed illustrative elementary alphabet count 4; not an experimentally qualified count |
code_slots |
integer | Illustrative address-format count 16; distinct from the separate eight-slot example codebook |
template_control_bits |
integer, bits | Chosen illustrative format: 64+32levels for hierarchy, 64+ceil(log2(N))(N−1) for flat cases; not an information-theoretic minimum |
source_path |
string | Repository-relative raw CSV path |
source_row |
integer | One-based physical CSV line; kinetic/threshold line 1 is the header |
source_sha256 |
64 hex digits | SHA-256 of the entire source file, not a signature |
release_version |
string | Distribution version of this normalized record |
correct_fraction + wrong_fraction + missing_fraction is one up to numerical tolerance. The model omits 3-D cluster collisions, finite inventories, crowding, child-module provisioning failures and realistic correlated conversion physics. Suppressing one local wrong-attachment channel is not equivalent to correcting all physical defects. A conditional perfect product is neither atomic perfection nor a calibrated complete-device yield.
Analytical threshold records
| Field | Unit | Meaning |
|---|---|---|
eta |
probability per recursion step | Added residual error floor |
p0 |
probability | Starting scalar recurrence value |
level |
integer | Recursion index, separate from assembly stages |
p |
probability | Iterated value under p(next)=min(1,C*p^q+eta) |
C |
dimensionless | Chosen malignant-set coefficient 28 |
q |
integer | Chosen exponent 2; called r in the theorem statement |
Other fields supply stable ID, evidence label and source provenance. These evaluations do not estimate ultralow probabilities from samples and do not prove the existence of a physical threshold gadget. At values where an upper bound exceeds one, clipping supplies only the trivial probability upper bound.
Interface-code records
symbols is an array of eight integers in {0,1,2,3}. alphabet_size=4, word_length=8, minimum_distance=3 are verified properties of the included logical set. record_id and source provenance identify the original line. The source CSV has no header and all 128 lines are data. Do not use a default-header CSV reader and silently discard the first word.
There is no mapping from these symbols to synthesized DNA sequences, proteins or characterized bond strengths. The eight-slot random-greedy codebook is separate from the four-slot GF(4) affine code used by the illustrative compiler and from the 16-slot format counted in kinetic rows.
Claim records
id names a stable scientific claim (G1, P1, P2, C1, C2, A1, F1, H1, S1, U1, N1, E1). novelty_class follows the papers: A established; B direct synthesis; C extension; D novel hypothesis; E unverified speculation. Combined values preserve qualified classification. status, assumptions and does_not_imply must travel with any quotation or retrieval result. evidence_path is repository-relative; evidence_section points to the supplement section when appropriate. Original evidence wording is preserved.
All rows carry experiment_performed=false and priority_established=false for this project's proposed platform. These flags do not deny the external prior art's experimental results.
Research-text chunks and references
Each research chunk contains document, heading, exact text, source path, inclusive one-based line start/end, source-file SHA-256 and text SHA-256. Chunks partition the three source files without overlap or text loss. A long section is split at 60 lines, so a mathematical expression may cross a chunk boundary; retrieve adjacent chunks when needed. No generated abstract or paraphrase replaces source text. evidence_type=mixed_source_text_read_claim_labels is deliberate: one section can contain known physics, a conditional theorem and a proposal.
Reference records preserve citation_and_access_note, optional doi, and source URLs. These notes document where access was limited to abstracts or indexed primary records. They are not copies of external full texts and do not warrant that every cited procedure was read in full.
Regeneration and license
Run python tools/build_exports.py from the release checkout. This rebuilds JSONL, export counts/hashes and FULL_TEXT.md without network access or numerical recomputation. If sources change, revalidate and create a new versioned manifest before publishing.
Original metadata/text/synthetic data use CC BY 4.0 to the extent rights subsist. Code uses MIT. See ../LICENSE.md. Cite the immutable release tag or commit and identify these as synthetic outputs or conditional research, not laboratory measurements.