---
pretty_name: YAT training data provenance and versions
language:
- multilingual
tags:
- provenance
- reproducibility
- yat
- mmbert
- metadata
---
# YAT training data: provenance and versions

This public catalog records the distinct prepared corpora used or considered in FlaxChat YAT training. **This release contains metadata and references only. It does not yet contain raw training examples or token arrays.** The inventory is incomplete where historical artifacts have not been recovered.

Read [`catalog.json`](catalog.json) for status, upstream revisions, prepared sizes, metadata SHA-256 values, artifact references, and known gaps. `metadata/` holds the original recipe and manifest bytes. A `historical_trained` or active status is separate from candidate, development, and validation status. Prepared pool size is not training exposure. Recoveries reuse the same frozen corpus rather than defining new data versions.

## Versioning

The immutable release tag is `catalog-2026-10-10`; consumers should pin its resolved Hugging Face commit. Each prepared dataset has a distinct ID and original content/recipe hashes. Corrections receive a new release tag; upstream revisions, splits, tokenizer identity, and sampling seeds must stay explicit. Future 10B preparation receives a separate version, with actual counts published only after completion.

## Included families

* FineWeb2-HQ adaptation and pilot selections.
* Historical web/reference MLM mixtures (102M, 359M and 617M prepared nonpadding tokens).
* The current 1.043B multilingual/code MLM pool from October 6, reused by scratch GOAT-input training.
* Global Voices pilot, 28-language continuation, and larger carry-preserving continuation; the unused larger noncarry candidate is separate.
* MS MARCO, MIRACL and CodeSearchNet source references for the released embedding-v1 fine-tune.
* Representation-v2 development/repair references, explicitly incomplete.

## Attribution and content licenses

Original sources remain credited in each recipe and upstream revision. FineWeb2-HQ, FineWeb2 and FineWeb-Edu declare ODC-BY dataset licensing; Common Crawl and underlying content terms still apply. Global Voices content is CC-BY-3.0: credit Global Voices contributors, OPUS alignment and Sentence Transformers packaging. The upstream package does not retain article URLs. GitHub code has per-file/repository licenses; a packaging license must not be treated as a blanket license for every code file. MS MARCO, MIRACL, CodeSearchNet and historical reference data require their own applicable source terms. No blanket license is asserted for this mixed catalog.

Only metadata is published here. Releasing content or token arrays requires preserving the corresponding provenance, attribution, and applicable notices; tokenization does not remove content obligations. GCS references document artifact identity and do not imply public access.

## Quality limitations

The current 1B recipe performed normalized exact-document deduplication. It does not establish semantic or benchmark-wide decontamination. Historical corpora have different overlap policies recorded in their manifests. All counts and quality claims must be tied to the exact stage and revision; this catalog is not evidence of production quality or complete language/domain coverage.

Training implementation: [FlaxChat](https://github.com/mlnomadpy/flaxchat). Model family: [mlnomad on Hugging Face](https://huggingface.co/mlnomad).


## Historical document reference release

The `references-2026-10-10` tag adds authenticated gzip JSONL document provenance for historical MLM pools. See [`references-index.json`](references-index.json) and [`references/README.md`](references/README.md). These files contain source coordinates and document metadata; **raw text and token arrays are not included**. The original `catalog-2026-10-10` tag remains unchanged.