README.md

metadata

license: apache-2.0
pretty_name: KRAZYKITTY // DATA LAB
tags:
  - data-provenance
  - dataset-documentation
  - preprocessing
  - data-quality
  - evaluation
  - privacy
  - reproducibility

KRAZYKITTY // DATA LAB

Status: research documentation and workflow toolkit — no dataset is published here.

DATA LAB is KrazyKitty's evidence-first workspace for studying how datasets should be sourced, reviewed, transformed, documented, and evaluated before they are allowed near a training or benchmark pipeline.

This repository contains dataset-card templates, provenance schemas, deterministic preprocessing tools, evaluation guidance, and review gates. It does not contain a corpus, benchmark examples, training rows, scraped content, or a claim that any source is approved for KittyLM.

Research tracks

Track	Purpose	Current state
Source provenance	Bind each source to identity, version, integrity, licence, and allowed use	Working templates and validator
Licensing, privacy, consent	Require explicit permission and data-risk review before processing	Documented gate
Preprocessing experiments	Compare deterministic text transformations without hiding exclusions	Working local reference workflow
Data quality	Measure duplication, encoding, language, structure, contamination, and coverage	Measurement plan
Evaluation resources	Version benchmark inputs and separate test integrity from model claims	Documentation and Collection candidates
Dataset cards	Make intended use, composition, limitations, and governance visible	Reusable templates

Repository map

• docs/PROVENANCE.md — evidence model and source lineage
• docs/LICENSE_PRIVACY_CONSENT.md — release-blocking review
• docs/DATA_QUALITY.md — quality dimensions and reporting rules
• docs/EVALUATION.md — benchmark governance and contamination controls
• templates/dataset-card-template.md — corpus-oriented card
• templates/evaluation-card-template.md — evaluation-set card
• schemas/source-manifest.schema.json — machine-readable contract
• workflows/validate_manifest.py — standard-library validator
• workflows/preprocess_text.py — deterministic, approval-gated text reference flow
• experiments/README.md — experiment record contract

Reproducible workflow

1. Create a source manifest from the schema and keep its decision proposed.
2. Record canonical source URLs, versions, licences, redistribution terms, integrity hashes, privacy review, consent or other lawful basis, and intended use.
3. Review the source outside the preprocessing program. Automated checks do not grant permission.
4. Change the manifest to approved only after the named reviewers have approved every source.
5. Run python workflows/validate_manifest.py manifest.json.
6. Run the reference preprocessing experiment against only the files listed in that manifest.
7. Store the exact command, source revision, manifest hash, environment, counts, exclusions, and output hashes in an experiment record.
8. Publish data only through a separate release decision with a complete dataset card.

Non-goals and safeguards

• Public availability is not treated as consent or permission for model training.
• A licence label is not accepted without checking scope, attribution, redistribution, and downstream restrictions.
• The reference preprocessing tool is not a privacy scrubber, copyright detector, toxicity classifier, or quality oracle.
• Personally identifiable, sensitive, confidential, or revoked material is release-blocking until reviewed and resolved.
• Benchmark test content must not enter training mixtures.
• Raw and processed data remain outside this repository unless a later, separately approved dataset release explicitly permits them.

Relationship to KittyLM

DATA LAB can produce reviewed methods and provenance records that KittyLM may use in the future. It does not imply that KittyLM has an approved training dataset, completed data pipeline, or published model weights.

Licence

The documentation, schemas, and original workflow code in this repository are proposed for release under Apache-2.0. That licence does not apply to any third-party source described by a manifest. Every source retains its own rights and restrictions.