DATA_DICTIONARY.md

Dataset dictionary

Release 3.0 contains eight independently loadable JSONL configurations, 297 records in total, all under the train split. This split is a storage convention and carries no machine-learning training/evaluation meaning.

All records include id (deterministic string), source_path (repository-relative provenance) and evidence_status (interpretation label). No record is an original measurement of an integrated Ørïelith skin.

Configuration	Other fields	Types and units
manuscript	section_index, title, text, record_type	Index is an integer, 0 for the cover and 1–42 for numbered sections; other fields are strings. Text retains Markdown.
design_parameters	parameter, value_json	Strings. Decode value_json with json.loads to recover the original number, boolean, string, array or object. Units are retained in source keys and values.
layers	layer, z0_um, z1_um, thickness_um, role	Coordinates and thickness are integer µm; other fields are strings. Nominal stack spans 0–1600 µm.
formulations	formulation, ingredient, amount_mmol, MW_g_mol, mass_g, group_amount_mmol, qualification	All strings, preserving mixed numeric and unresolved entries. Units are indicated in field names. group_amount_mmol also names the functional group. These are candidate formulation inputs, not validated syntheses.
technology_compatibility	profile, present_method, material_interface, status, not_claimed, qualification	Strings describing a proposed integration route and required qualification.
frontier_comparisons	system, evidence_type, specific_metric, form_or_scope, recovery_or_memory_scope, compatibility_limit, primary_source	Strings. Metric units and source scope are explicit in each row. The Ørïelith row points to its local PDF; other rows point to primary sources. No common benchmark protocol is implied.
reference_model	model_state_z, model_host_kb, model_total_force, active_force, reference_force, true_translation, reconstructed_tether_extension, true_tether_extension	Floats, all dimensionless reduced-model quantities. These names must not be interpreted as measured SI force or displacement.
capture_control	model_time_s, opened_fraction_m, captured_fraction_r, g_N_m, receptor_force_fraction, Ktotal_N_m	Floats. Time is illustrative model seconds; fractions are dimensionless; stiffness units are N/m. This is the reference-free control model, not the final paired active/reference module and not experimental kinetics.

Derivation and preservation

1. Split the manuscript at its explicit page markers, preserving each block except leading/trailing whitespace. Extract the existing heading as title.
2. Preserve each top-level design JSON value in a value_json string. Nested structures are not flattened or rounded.
3. Convert the six source CSVs row for row. Cast only layer dimensions to integers and the two model tables to floats. Retain all formulation and comparison fields as strings, including empty strings and unresolved values.
4. Add deterministic IDs, provenance and evidence labels. Write UTF-8 JSONL without NaN or infinity.

dataset_schema.json gives exact row counts and Python-level primitive types. tools/build_dataset.py reproduces these transformations from research/. Original CSV and JSON files remain available there. Primary-source evidence boundaries are in the full manuscript; the short per-record labels are not a substitute for those qualifications.

Missing values and suitable use

An empty string means the source table did not specify that field. Text such as verify, derive from verified MW, and not specified is meaningful and must not be silently replaced by a numerical default. The dataset is suited to inspection, blueprint indexing, calculation reproduction and planning a qualification experiment. It does not support empirical skin-performance prediction or claims about subjective android sensation.