Iyeumiru-R-Rayo-RSI / docs /DATASET_SCHEMA.md
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Dataset schema and provenance

This is a small, document-derived theoretical research corpus, not an empirical benchmark, a record of an implemented RSI system, or a collection of machine-checked proofs. Its two JSONL views preserve source material and make it accessible to ordinary dataset tooling.

Configurations

Configuration JSONL file Records Content
manuscript (default) data/manuscript_sections.jsonl 19 Lossless, ordered LaTeX source chunks
claims data/claims.jsonl 16 Complete claim objects from the supplied claim register

Each configuration uses the single split name train as a Hugging Face loading container. That name does not establish training data suitability, a train/test separation, a held-out evaluation set, or any experiment. The two configurations overlap substantially: the claims describe results and limitations already discussed in the manuscript. They must not be treated as independent evidence or mutually held-out data.

Common fields

Every row in both JSONL files has exactly these nine string-valued fields.

Field Meaning
id Unique within the complete release: manuscript-000 through manuscript-018, or claim- plus the source claim identifier.
title The source section heading, a descriptive label for front/end matter, or the complete source claim statement.
content Verbatim LaTeX source fragment, or a JSON serialization of the complete original claim object.
content_format latex for manuscript chunks; json for claim objects.
source_path Repository-relative authoritative source: manuscript/Iyeumiru_R_Rayo_RSI.tex or metadata/claims.json.
source_locator A JSON-encoded location object for LaTeX, or an RFC 6901-style JSON Pointer such as /claims/0.
record_type manuscript_source_chunk or claim_register_entry.
evidence_status Manuscript-wide source status, or the exact status string in the original claim object. This is reported source metadata, not an independent verification judgment.
source_sha256 SHA-256 of the entire authoritative source file, not of the individual fragment.

All JSON files and JSONL files are UTF-8. Each JSONL row is one JSON object on one physical line; newlines in content are JSON escapes. No remote code or custom dataset loader is required.

Manuscript boundaries and exact reconstruction

The 19 manuscript rows contain, in source order:

  1. Preamble, title matter, author credit, and research status.
  2. Abstract, keywords, and table-of-contents commands.
  3. Ten main sections.
  4. Five appendices.
  5. Research conclusion.
  6. References and the closing document command.

The first appendix includes the \appendix switch. Blank lines and all LaTeX commands remain in their original positions. The chunks are not standalone compilable documents: they depend on the preamble and definitions in the complete authoritative source.

A manuscript source_locator is itself a string containing JSON, for example:

{"line_start":1,"line_end_inclusive":64,"utf8_byte_start":0,"utf8_byte_end_exclusive":2705}

Line numbers are one-based and inclusive. Byte ranges are zero-based UTF-8 offsets with an exclusive end. Byte offsets remain exact in the presence of the manuscript's Unicode characters.

Concatenating the content fields in their existing JSONL order and encoding the result as UTF-8 reconstructs all 100,396 original LaTeX bytes, with SHA-256:

af507774f200e005535ee5f700c3f1ef917bc60e0744d460b356c5f0afcc4922

Claim payloads and evidence labels

Each claim row contains the complete corresponding object in metadata/claims.json, including its source identifier, statement, status, assumptions where supplied, source label where supplied, and limitations. Parsing its content as JSON yields an object equal to the original object. Formatting and key order are normalized; object values are not rewritten.

The original registry's manuscript-wide metadata remains in metadata/claims.json; it is not duplicated into an extra claim row. That source file has SHA-256:

0e22ea2ff43f482f2550aa343ecc0f00e8b3e160a83d5bbf561e6c8c7518bcd4
Claim evidence status Rows Interpretation in the source
proof_supplied_in_manuscript 12 A written proof is supplied, with the stated scope and assumptions.
derivation_supplied_in_manuscript 1 A written derivation is supplied.
required_not_implemented 1 An implementation obligation, not an achieved implementation.
open_not_demonstrated 1 An open research hypothesis.
not_claimed_not_established 1 A broad claim explicitly not asserted or established.

The manuscript rows use theoretical_manuscript_not_independently_verified. Neither that label nor the claim labels assert mechanized verification, empirical acceleration, independent review, reproduction, or established literature priority. Hypothetical numerical examples remain hypothetical source content.

Rebuilding and validating

From the repository directory, using Python 3.9 or newer:

python tools/build_corpus.py --check

This standard-library-only command checks byte-for-byte agreement between the supplied JSONL views and deterministic conversions of the authoritative sources. It also checks common schemas, unique identifiers, exact manuscript reconstruction, exact source byte locators, and equality of every parsed claim payload.

To regenerate the JSONL views after an intentional source edit:

python tools/build_corpus.py

Regeneration changes release bytes when source content changes. Update the release checksum manifest and provenance before uploading an edited release. Passing these conversion checks validates packaging fidelity; it does not validate the manuscript's mathematical claims or demonstrate the proposed RSI architecture.

Source and rights

The PDF, LaTeX, original README, and claim register came from the supplied Iyeumiru_R_Complete_Research.zip. The four hashes in that archive's SHA256SUMS.txt were checked and matched before conversion. The PDF and LaTeX remain authoritative for the full manuscript.

The supplied source package contains no explicit license notice. Dataset conversion does not introduce a new license or grant rights absent from the source. Preserve the author credit and consult the repository's rights note before redistribution or reuse.