Jeff Moe commited on
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Data provenance info
Browse files- DATA_PROVENANCE.md +83 -0
DATA_PROVENANCE.md
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# LibreHPS — Data provenance
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LibreHPS-4B was trained exclusively on permissively-licensed
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human-preference data for text-to-image and text-to-video generation.
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This document summarises the licence audit performed for every
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upstream dataset in the training blend and the per-image generator
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audit applied to filter the data before training.
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## Datasets used
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All datasets in the LibreHPS training blend are distributed under one
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of: **MIT**, **Apache-2.0**, **BSD-3-Clause**, or
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**CDLA-Permissive-2.0**. None impose non-commercial, no-derivatives,
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or share-alike restrictions on ML-model training derivatives.
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| Dataset | Upstream licence |
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|---|---|
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| `MizzenAI/HPDv3` | MIT |
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| `zai-org/ImageRewardDB` | Apache-2.0 |
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| `zai-org/VisionRewardDB-Image` | Apache-2.0 |
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| `zai-org/VisionRewardDB-Video` | Apache-2.0 |
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| `Rapidata/text-2-image-Rich-Human-Feedback` | CDLA-Permissive-2.0 |
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| `Rapidata/sora-video-generation-alignment-likert-scoring` | CDLA-Permissive-2.0 |
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| `Rapidata/text-2-video-human-preferences-veo3` | CDLA-Permissive-2.0 |
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| `TIGER-Lab/VideoFeedback` | MIT |
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| `data-is-better-together/open-image-preferences-v1` | Apache-2.0 |
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| `fudan-generative-ai/LiFT-HRA-20K` | Apache-2.0 |
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CDLA-Permissive-2.0 §3.1 jointly with §5.4 exempts "Results"
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(including ML-model artefacts) from any downstream restriction. This
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is the basis on which Rapidata CDLA-2.0 datasets are included.
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## Per-image generator audit
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A subset of upstream datasets — notably the Rapidata model-vs-model
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splits — embed images generated by closed-source services (OpenAI,
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Midjourney, Imagen, etc.). Each retained training pair carries an
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audit flag `license_audit_flags.upstream_generator_restriction`
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recording whether the upstream generator's ToS prohibits
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redistribution of its outputs. Rows flagged `true` were dropped before
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training.
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**Generators dropped:**
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- **Midjourney** — ToS prohibits redistribution of generated images.
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- **DALL·E 3** (via OpenAI API) — older OpenAI ToS prohibits
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redistribution; only retained where the upstream dataset itself
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asserts generator-ToS compatibility.
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**Generators kept:**
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- **Stable Diffusion family** (SD 1.x, SD 2.x, SDXL, SD 3.x) — open
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weights.
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- **FLUX.1**, **FLUX.1.1**, **FLUX 2 pro** — API ToS permits
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redistribution.
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- **Imagen 3 / 4 / 4 Ultra** — Google generative-AI ToS permits
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redistribution of outputs.
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- **HunyuanImage 2.1**, **Seedream 3**, **Kolors**, **Lumina** — open
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weights.
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- **Recraft v2 / v3**, **Ideogram V2** — API ToS permits
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redistribution.
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## Excluded datasets
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These were reviewed and explicitly excluded:
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- **Pick-a-Pic v1 / v2** — no declared HF licence; the underlying
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Dreamlike Photoreal 2.0 generator carries an OpenRAIL-M
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non-commercial clause.
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- **HPDv2 (standalone)** — research-use only.
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- **Midjourney Discord scrapes** — ToS prohibits redistribution.
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- **PKU-Alignment/SafeSora\*** — CC-BY-NC-4.0 (non-commercial).
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- **CodeGoat24/VideoFeedback** — a derivative of
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`TIGER-Lab/VideoFeedback`; the original was ingested instead.
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## What this means for users
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LibreHPS-4B is safe to use commercially. Every training-data row was
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either drawn from a permissively-licensed dataset, or filtered out by
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the generator-redistribution audit above. The model weights are
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released under Apache-2.0 (see [`LICENSE`](LICENSE)) with no
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inherited non-commercial or no-derivatives clauses from the training
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data.
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