Datasets:
Formats:
json
Languages:
English
Size:
< 1K
Tags:
materials-science
chemistry
electronic-skin
self-healing-polymers
mechanochemistry
neuromorphic-materials
| # 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. | |