pool-artifacts / README.md
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metadata
license: other
task_categories:
  - text-generation
pretty_name: Placeholder Labs Artifacts Pool
size_categories:
  - 10K<n<100K
configs:
  - config_name: canonical
    default: true
    data_files:
      - split: train
        path: canonical/phase5-10000-v1/*.jsonl
  - config_name: annealing_html
    data_files:
      - split: train
        path: views/annealing_html/phase5-10000-v1/*.jsonl
  - config_name: sft_create
    data_files:
      - split: train
        path: views/sft_create/phase5-10000-v1/*.jsonl

Placeholder Labs Artifacts Pool

Private, source-grounded corpus of complete, editable, self-contained HTML slide decks. The current production release contains 9,066 accepted canonical decks, 34,601,632 unique Dolma-2 HTML tokens, and two linked training views per deck.

  • canonical: natural request, complete HTML, source lineage, design assignment, teacher evidence, and static/browser validation evidence;
  • annealing_html: raw complete HTML without chat or factory wrappers;
  • sft_create: natural user request followed by the same complete HTML assistant answer.

The two training views are serializations of one accepted artifact, not independent content. Their combined 73,989,907 message-content tokens repeat the HTML once. Factory source context, validation ledgers, design assignments, and acceptance instructions are excluded from training payloads.

Every accepted deck passed pinned-browser rendering, minimum keyboard navigation, print exposure, clipping, text-size, console, network, fact-preservation, and anti-pattern checks. The release contains 9,066 unique source lineages and HTML hashes, all 30 scheduled visual systems, and no detected first-slide or whole-deck perceptual near duplicate at the release threshold.

Source rows retain per-record provenance and rights evidence. Because the corpus is a mixture of public-domain, Creative Commons, Apache-licensed, and internally owned source derivatives, there is no single blanket corpus licence.

Rendered screenshots are content-addressed evidence in private S3 rather than duplicated inside training JSONL. Canonical rows retain the immutable screenshot hash and locator.

See RELEASE.json, schema/phase5-10000-v1/, and receipts/phase5-10000-v1/ for release counts, schema, publication, and migration evidence.