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LibreHPS-4B-v1.1 / DATA_PROVENANCE.md
Jeff Moe
Data provenance info
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LibreHPS — Data provenance

LibreHPS-4B was trained exclusively on permissively-licensed human-preference data for text-to-image and text-to-video generation. This document summarises the licence audit performed for every upstream dataset in the training blend and the per-image generator audit applied to filter the data before training.

Datasets used

All datasets in the LibreHPS training blend are distributed under one of: MIT, Apache-2.0, BSD-3-Clause, or CDLA-Permissive-2.0. None impose non-commercial, no-derivatives, or share-alike restrictions on ML-model training derivatives.

Dataset Upstream licence
MizzenAI/HPDv3 MIT
zai-org/ImageRewardDB Apache-2.0
zai-org/VisionRewardDB-Image Apache-2.0
zai-org/VisionRewardDB-Video Apache-2.0
Rapidata/text-2-image-Rich-Human-Feedback CDLA-Permissive-2.0
Rapidata/sora-video-generation-alignment-likert-scoring CDLA-Permissive-2.0
Rapidata/text-2-video-human-preferences-veo3 CDLA-Permissive-2.0
TIGER-Lab/VideoFeedback MIT
data-is-better-together/open-image-preferences-v1 Apache-2.0
fudan-generative-ai/LiFT-HRA-20K Apache-2.0

CDLA-Permissive-2.0 §3.1 jointly with §5.4 exempts "Results" (including ML-model artefacts) from any downstream restriction. This is the basis on which Rapidata CDLA-2.0 datasets are included.

Per-image generator audit

A subset of upstream datasets — notably the Rapidata model-vs-model splits — embed images generated by closed-source services (OpenAI, Midjourney, Imagen, etc.). Each retained training pair carries an audit flag license_audit_flags.upstream_generator_restriction recording whether the upstream generator's ToS prohibits redistribution of its outputs. Rows flagged true were dropped before training.

Generators dropped:

  • Midjourney — ToS prohibits redistribution of generated images.
  • DALL·E 3 (via OpenAI API) — older OpenAI ToS prohibits redistribution; only retained where the upstream dataset itself asserts generator-ToS compatibility.

Generators kept:

  • Stable Diffusion family (SD 1.x, SD 2.x, SDXL, SD 3.x) — open weights.
  • FLUX.1, FLUX.1.1, FLUX 2 pro — API ToS permits redistribution.
  • Imagen 3 / 4 / 4 Ultra — Google generative-AI ToS permits redistribution of outputs.
  • HunyuanImage 2.1, Seedream 3, Kolors, Lumina — open weights.
  • Recraft v2 / v3, Ideogram V2 — API ToS permits redistribution.

Excluded datasets

These were reviewed and explicitly excluded:

  • Pick-a-Pic v1 / v2 — no declared HF licence; the underlying Dreamlike Photoreal 2.0 generator carries an OpenRAIL-M non-commercial clause.
  • HPDv2 (standalone) — research-use only.
  • Midjourney Discord scrapes — ToS prohibits redistribution.
  • PKU-Alignment/SafeSora* — CC-BY-NC-4.0 (non-commercial).
  • CodeGoat24/VideoFeedback — a derivative of TIGER-Lab/VideoFeedback; the original was ingested instead.

What this means for users

LibreHPS-4B is safe to use commercially. Every training-data row was either drawn from a permissively-licensed dataset, or filtered out by the generator-redistribution audit above. The model weights are released under Apache-2.0 (see LICENSE) with no inherited non-commercial or no-derivatives clauses from the training data.