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  1. .gitattributes +41 -0
  2. DATASET_CARD.md +42 -0
  3. LICENSE.txt +37 -0
  4. README.md +113 -0
  5. black_chair_3d_model_10207/Black_Chair_3D_Model_10207.glb +3 -0
  6. black_chair_3d_model_10207/Black_Chair_3D_Model_10207_USDZ.zip +3 -0
  7. black_chair_3d_model_10207/black_chair_3d_model_10207.metadata.json +111 -0
  8. black_chair_3d_model_10207/black_chair_3d_model_10207.render.jpg +3 -0
  9. black_chair_3d_model_9926/Black_Chair_3D_Model_9926.glb +3 -0
  10. black_chair_3d_model_9926/Black_Chair_3D_Model_9926_USDZ.zip +3 -0
  11. black_chair_3d_model_9926/black_chair_3d_model_9926.metadata.json +115 -0
  12. black_chair_3d_model_9926/black_chair_3d_model_9926.render.jpg +3 -0
  13. black_leather_chair_3d_model_10217/Black_Leather_Chair_3D_Model_10217.glb +3 -0
  14. black_leather_chair_3d_model_10217/Black_Leather_Chair_3D_Model_10217_USDZ.zip +3 -0
  15. black_leather_chair_3d_model_10217/black_leather_chair_3d_model_10217.metadata.json +114 -0
  16. black_leather_chair_3d_model_10217/black_leather_chair_3d_model_10217.render.jpg +3 -0
  17. black_metal_chair_3d_model_9930/Black_Metal_Chair_3D_Model_9930.glb +3 -0
  18. black_metal_chair_3d_model_9930/Black_Metal_Chair_3D_Model_9930_USDZ.zip +3 -0
  19. black_metal_chair_3d_model_9930/black_metal_chair_3d_model_9930.metadata.json +113 -0
  20. black_metal_chair_3d_model_9930/black_metal_chair_3d_model_9930.render.jpg +3 -0
  21. black_swivel_chair_3d_model_10219/Black_Swivel_Chair_3D_Model_10219.glb +3 -0
  22. black_swivel_chair_3d_model_10219/Black_Swivel_Chair_3D_Model_10219_USDZ.zip +3 -0
  23. black_swivel_chair_3d_model_10219/black_swivel_chair_3d_model_10219.metadata.json +113 -0
  24. black_swivel_chair_3d_model_10219/black_swivel_chair_3d_model_10219.render.jpg +3 -0
  25. black_wooden_chair_3d_model_10602/Black_Wooden_Chair_3D_Model_10602.glb +3 -0
  26. black_wooden_chair_3d_model_10602/Black_Wooden_Chair_3D_Model_10602_USDZ.zip +3 -0
  27. black_wooden_chair_3d_model_10602/black_wooden_chair_3d_model_10602.metadata.json +115 -0
  28. black_wooden_chair_3d_model_10602/black_wooden_chair_3d_model_10602.render.jpg +3 -0
  29. blue_velvet_dining_chair/Blue_Velvet_Dining_Chair.glb +3 -0
  30. blue_velvet_dining_chair/Blue_Velvet_Dining_Chair_USDZ.zip +3 -0
  31. blue_velvet_dining_chair/blue_velvet_dining_chair.metadata.json +114 -0
  32. blue_velvet_dining_chair/blue_velvet_dining_chair.render.webp +3 -0
  33. chair_3d_model_with_wire_legs_10604/Chair_3D_Model_with_Wire_Legs_10604.glb +3 -0
  34. chair_3d_model_with_wire_legs_10604/Chair_3D_Model_with_Wire_Legs_10604_USDZ.zip +3 -0
  35. chair_3d_model_with_wire_legs_10604/chair_3d_model_with_wire_legs_10604.metadata.json +113 -0
  36. chair_3d_model_with_wire_legs_10604/chair_3d_model_with_wire_legs_10604.render.jpg +3 -0
  37. classic_black_armchair_3d_model_10613/Classic_Black_Armchair_3D_Model_10613.glb +3 -0
  38. classic_black_armchair_3d_model_10613/Classic_Black_Armchair_3D_Model_10613_USDZ.zip +3 -0
  39. classic_black_armchair_3d_model_10613/classic_black_armchair_3d_model_10613.metadata.json +114 -0
  40. classic_black_armchair_3d_model_10613/classic_black_armchair_3d_model_10613.render.jpg +3 -0
  41. classic_chair_3d_model_9902/Classic_Chair_3D_Model_9902.glb +3 -0
  42. classic_chair_3d_model_9902/Classic_Chair_3D_Model_9902_USDZ.zip +3 -0
  43. classic_chair_3d_model_9902/classic_chair_3d_model_9902.metadata.json +111 -0
  44. classic_chair_3d_model_9902/classic_chair_3d_model_9902.render.jpg +3 -0
  45. classic_wooden_chair_3d_model_9919/Classic_Wooden_Chair_3D_Model_9919.glb +3 -0
  46. classic_wooden_chair_3d_model_9919/Classic_Wooden_Chair_3D_Model_9919_USDZ.zip +3 -0
  47. classic_wooden_chair_3d_model_9919/classic_wooden_chair_3d_model_9919.metadata.json +111 -0
  48. classic_wooden_chair_3d_model_9919/classic_wooden_chair_3d_model_9919.render.jpg +3 -0
  49. croissant.json +178 -0
  50. dark_grey_fabric_chair/Dark_Grey_Fabric_Chair.glb +3 -0
.gitattributes CHANGED
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ black_chair_3d_model_10207/Black_Chair_3D_Model_10207.glb filter=lfs diff=lfs merge=lfs -text
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+ black_chair_3d_model_9926/Black_Chair_3D_Model_9926.glb filter=lfs diff=lfs merge=lfs -text
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+ black_leather_chair_3d_model_10217/Black_Leather_Chair_3D_Model_10217.glb filter=lfs diff=lfs merge=lfs -text
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+ black_metal_chair_3d_model_9930/Black_Metal_Chair_3D_Model_9930.glb filter=lfs diff=lfs merge=lfs -text
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+ black_swivel_chair_3d_model_10219/Black_Swivel_Chair_3D_Model_10219.glb filter=lfs diff=lfs merge=lfs -text
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+ black_wooden_chair_3d_model_10602/Black_Wooden_Chair_3D_Model_10602.glb filter=lfs diff=lfs merge=lfs -text
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+ blue_velvet_dining_chair/Blue_Velvet_Dining_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ chair_3d_model_with_wire_legs_10604/Chair_3D_Model_with_Wire_Legs_10604.glb filter=lfs diff=lfs merge=lfs -text
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+ classic_black_armchair_3d_model_10613/Classic_Black_Armchair_3D_Model_10613.glb filter=lfs diff=lfs merge=lfs -text
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+ classic_chair_3d_model_9902/Classic_Chair_3D_Model_9902.glb filter=lfs diff=lfs merge=lfs -text
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+ classic_wooden_chair_3d_model_9919/Classic_Wooden_Chair_3D_Model_9919.glb filter=lfs diff=lfs merge=lfs -text
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+ dark_grey_fabric_chair/Dark_Grey_Fabric_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ dark_grey_velvet_dining_chair/Dark_Grey_Velvet_Dining_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ dark_wooden_dining_chair/Dark_Wooden_Dining_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ futuristic_apartment_chair/Futuristic_Apartment_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ futuristic_apartment_chair/Futuristic_Apartment_Chair.usdz filter=lfs diff=lfs merge=lfs -text
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+ green_velvet_dining_chair/Green_Velvet_Dining_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ grey_fabric_armchair_with_pouf/Grey_Fabric_Armchair_with_Pouf.glb filter=lfs diff=lfs merge=lfs -text
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+ grey_metal_armchair_3d_model_10611/Grey_Metal_Armchair_3D_Model_10611.glb filter=lfs diff=lfs merge=lfs -text
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+ grey_modern_armchair/Grey_Modern_Armchair.glb filter=lfs diff=lfs merge=lfs -text
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+ grey_velvet_metal_dining_chair/Grey_Velvet_Metal_Dining_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ grey_velvet_modern_chair/Grey_Velvet_Modern_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ light_wooden_dining_chair/Light_Wooden_Dining_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ lounge_chair_3d_model_10617/Lounge_Chair_3D_Model_10617.glb filter=lfs diff=lfs merge=lfs -text
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+ lounge_chair_3d_model_with_footrest_10601/Lounge_Chair_3D_Model_with_Footrest_10601.glb filter=lfs diff=lfs merge=lfs -text
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+ lounge_chair_3d_model_with_footrest_10616/Lounge_Chair_3D_Model_with_Footrest_10616.glb filter=lfs diff=lfs merge=lfs -text
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+ modern_white_chair_3d_model_9922/Modern_White_Chair_3D_Model_9922.glb filter=lfs diff=lfs merge=lfs -text
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+ orange_fabric_dining_chair/Orange_Fabric_Dining_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ red_velvet_dining_chair/Red_Velvet_Dining_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ red_velvet_modern_chair/Red_Velvet_Modern_Chair.glb filter=lfs diff=lfs merge=lfs -text
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+ round_armchair_3d_model_10213/Round_Armchair_3D_Model_10213.glb filter=lfs diff=lfs merge=lfs -text
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+ tall_metal_chair_3d_model_9924/Tall_Metal_Chair_3D_Model_9924.glb filter=lfs diff=lfs merge=lfs -text
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+ tall_wooden_chair_3d_model_9911/Tall_Wooden_Chair_3D_Model_9911.glb filter=lfs diff=lfs merge=lfs -text
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+ tall_wooden_chair_3d_model_9925/Tall_Wooden_Chair_3D_Model_9925.glb filter=lfs diff=lfs merge=lfs -text
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+ white_fabric_armchair_3d_model_10615/White_Fabric_Armchair_3D_Model_10615.glb filter=lfs diff=lfs merge=lfs -text
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+ wooden_bar_chair_3d_model_10603/Wooden_Bar_Chair_3D_Model_10603.glb filter=lfs diff=lfs merge=lfs -text
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+ wooden_chair_3d_model_9904/Wooden_Chair_3D_Model_9904.glb filter=lfs diff=lfs merge=lfs -text
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+ wooden_chair_3d_model_9907/Wooden_Chair_3D_Model_9907.glb filter=lfs diff=lfs merge=lfs -text
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+ wooden_chair_3d_model_9917/Wooden_Chair_3D_Model_9917.glb filter=lfs diff=lfs merge=lfs -text
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+ wooden_chair_with_green_seat_3d_model_9916/Wooden_Chair_with_Green_Seat_3D_Model_9916.glb filter=lfs diff=lfs merge=lfs -text
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+ wooden_dining_chair/Wooden_Dining_Chair.glb filter=lfs diff=lfs merge=lfs -text
DATASET_CARD.md ADDED
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+ # CGAxis 3D Models - Furnishing
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+
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+ 3D model dataset (category: Furnishing). Fully-owned CGAxis IP, human-made in-house since 2008. Each model ships as GLB and USDZ with geometry statistics, real-world scale, semantic tags, a natural-language caption, per-file SHA-256 and compliance metadata (MLCommons Croissant).
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+
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+ Models in this package: 40.
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+
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+ ## Contents
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+
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+ | Property | Value |
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+ |---|---|
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+ | Models | 40 |
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+ | With real-world scale | 40 / 40 |
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+ | UV-mapped | 40 / 40 |
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+ | Formats | glb=40, usdz=40 |
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+ | Triangles (min / median / max) | 2,732 / 39,544 / 1,256,392 |
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+ | Animated / rigged | 0 / 0 |
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+
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+ ## Categories
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+
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+ | Subcategory | Models |
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+ |---|---|
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+ | Furnishing | 40 |
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+
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+ ## Enrichment and integrity
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+
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+ | Feature | Coverage |
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+ |---|---|
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+ | Per-file SHA-256 (integrity) | 40 / 40 |
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+ | Natural-language caption | 40 / 40 |
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+ | Geometry stats (triangles, vertices, bbox) | from GLB |
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+
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+ ## Compliance
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+
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+ Every model carries a machine-readable `compliance` block (vendor assertions): `human_authored=true`, `ai_generated=false`, `contains_pii=false`, `contains_trademarks_or_logos=false`, `web_scraped=false`, plus a `training_data_summary` for EU AI Act transparency. A loadable `croissant.json` (MLCommons Croissant 1.0) is included.
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+
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+ ## Package files
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+
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+ DATASET_CARD.md, LICENSE.txt, croissant.json, models_index.json (with `split` field), models_index.csv, splits.json + train.txt/test.txt.
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+
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+ ## License
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+
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+ Free Sample License (see LICENSE.txt): evaluation and prototyping only, non-production, no redistribution, provided "as is" without warranty or indemnification. The full corpus is licensed for production training with an IP warranty and full indemnification - available on request at https://cgaxis.com/ai-training-data/
LICENSE.txt ADDED
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+ CGAxis AI Data - Free Sample License (evaluation & prototyping, non-production)
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+
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+ This sample ("Pack") is provided free of charge for technical evaluation and
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+ prototyping only. By downloading or using it you agree to the following terms.
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+
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+ 1. PURPOSE. You may use this Pack solely to evaluate the quality, structure and
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+ suitability of CGAxis 3D model and PBR material data for your machine learning
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+ pipeline, and to build internal prototypes and proofs of concept (internal
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+ testing, benchmarking, experimentation and technical due diligence).
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+
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+ 2. NO PRODUCTION USE. You may not use this Pack, or any model trained wholly or in
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+ part on it, in any commercial or production product, service, or released model.
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+ Training data for models placed into commercial production requires a separate
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+ commercial license (Category Pack, Full Corpus or Exclusive) from CGAxis.
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+
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+ 3. NO AGGREGATION. This Pack is a limited sample, not a substitute for a licensed
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+ dataset. You may not combine, stack or aggregate this Pack with other CGAxis
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+ sample packs - across categories, accounts, orders or time - to assemble a
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+ larger or training-scale corpus.
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+
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+ 4. NO REDISTRIBUTION. You may not redistribute, resell, publish or share the raw
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+ Pack assets or any material part of them, or remove any provenance, metadata,
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+ checksum or license information.
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+
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+ 5. OWNERSHIP. The Pack and all intellectual property rights in it remain the
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+ exclusive property of CGAxis. All rights not expressly granted are reserved.
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+
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+ 6. TERM. This license is valid for 30 days from download. After that you must
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+ delete the Pack, unless you have entered into a commercial license with CGAxis.
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+
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+ 7. NO WARRANTY; NO INDEMNIFICATION. The Pack is provided "as is" for evaluation and
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+ prototyping, without warranties and without indemnification. The commercial
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+ licenses (Category Pack, Full Corpus, Exclusive) include an IP warranty and full
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+ indemnification.
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+
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+ Full corpus, category packs and commercial licensing:
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+ CGAxis - https://cgaxis.com/ai-training-data/
README.md ADDED
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+ ---
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+ license: other
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+ license_name: cgaxis-ai-data-eval-license
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+ license_link: https://cgaxis.com/ai-data-license/
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+ pretty_name: CGAxis 3D Models - Free Sample (Furniture / Chairs)
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+ task_categories:
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+ - image-to-3d
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+ - text-to-3d
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+ tags:
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+ - 3d
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+ - 3d-models
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+ - mesh
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+ - glb
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+ - usdz
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+ - text-to-3d
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+ - image-to-3d
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+ - 3d-generation
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+ - 3d-reconstruction
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+ - furniture
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+ - real-world-scale
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+ - croissant
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+ - licensed-data
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # CGAxis 3D Models - Free Sample (Furniture / Chairs)
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+
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+ A **free, licensed** sample of human-authored 3D models from [CGAxis](https://cgaxis.com), a 3D content studio operating since 2008. This sample is a taster of the full **CGAxis AI Data** corpus (4,390 3D models + 7,794 PBR material sets) available for commercial AI-training licenses.
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+
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+ Every model ships as **GLB and USDZ**, with geometry statistics, **real-world scale in centimetres**, semantic tags, a natural-language caption, per-file SHA-256 and a machine-readable compliance block, plus a dataset-level **MLCommons Croissant** file for direct loading into ML pipelines.
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+
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+ ## Why this dataset is different
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+
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+ Most 3D training data is scraped from the open web (objects pulled under contested or unknown licenses, with no one to indemnify you when the model ships). This one is not:
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+
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+ - **Single owner, clean provenance.** Human-authored in-house by CGAxis since 2008. No scraping, no unknown rights, no user-generated content.
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+ - **Real-world scale.** Each model carries its bounding box in centimetres, derived from the source geometry - not normalised-to-unit-cube like most 3D datasets. Essential for physically consistent generation, simulation and robotics.
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+ - **Production-ready formats.** GLB (the ML ingestion standard) **and** USDZ (USD / Apple / simulation pipelines) for every model. Clean UVs.
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+ - **AI-native metadata.** Per-model `metadata.json` (geometry stats, bbox, tags, caption, per-file SHA-256, compliance) plus a loadable `croissant.json` and a deterministic train/test split.
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+
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+ ## This sample
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+
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+ | Property | Value |
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+ |---|---|
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+ | Models | 40 (furniture - chairs, dining chairs, armchairs, lounge) |
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+ | Formats | GLB + USDZ (both, every model) |
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+ | With real-world scale (bbox in cm) | 40 / 40 |
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+ | UV-mapped | 40 / 40 |
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+ | Triangles (min / median / max) | 2,732 / 39,544 / 1,256,392 |
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+ | Preview render | 40 / 40 (WebP / JPG) |
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+ | Per-file SHA-256 | 40 / 40 |
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+ | Caption + semantic tags | 40 / 40 |
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+ | Split | 38 train / 2 test (deterministic, seed `cgaxis-3d-v1`) |
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+
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+ ## Intended uses
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+
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+ Training and evaluating geometry- and material-aware 3D models: **text-to-3D**, **image-to-3D**, single- and multi-view **3D reconstruction**, mesh/shape generative models, 3D asset retrieval, and (via the baked PBR textures inside each GLB) material-aware 3D generation. The real-world scale also makes the set useful as **licensed assets for simulation / embodied-AI** scenes.
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+
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+ ## Load the metadata (Croissant)
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+
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+ ```python
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+ import mlcroissant as mlc
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+ ds = mlc.Dataset("croissant.json")
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+ records = list(ds.records(record_set="models"))
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+ ```
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+
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+ Or read `models_index.json` directly (full per-model records, including geometry, bbox, tags, caption and the `split` field).
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+
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+ ## Structure
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+
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+ ```
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+ / # one folder per model
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+ <model_id>/
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+ <Model>.glb # glTF binary (geometry + baked PBR textures)
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+ <Model>_USDZ.zip # USDZ, packaged in a zip
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+ <model_id>.render.webp # preview render
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+ <model_id>.metadata.json # geometry, bbox_cm, tags, caption, per-file sha256, compliance
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+ croissant.json # MLCommons Croissant 1.0 (loadable)
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+ models_index.json / models_index.csv # all models (JSON has the split field; CSV backs Croissant)
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+ splits.json + train.txt / test.txt # deterministic train/test split
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+ DATASET_CARD.md # plain-text summary
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+ LICENSE.txt # this sample's license (evaluation only)
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+ ```
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+
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+ ## Compliance (EU AI Act)
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+
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+ Every model carries a machine-readable `compliance` block (vendor assertions): `human_authored=true`, `ai_generated=false`, `contains_pii=false`, `contains_trademarks_or_logos=false`, `web_scraped=false`, plus a `training_data_summary` - so training-data documentation is trivial. CGAxis is an EU company.
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+
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+ ## License
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+
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+ Free for **internal evaluation and prototyping** under the CGAxis AI Data Free Sample License (see `LICENSE.txt`). This sample is for assessing quality, format and metadata, and building internal proofs of concept - **not** for training models you ship or sell, and it comes **without** warranty or indemnification.
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+
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+ ## License the full corpus (4,390 3D models + 7,794 PBR sets)
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+
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+ Production training - with an **IP warranty and full indemnification** - is licensed per Category Pack, Full Corpus or Exclusive tier.
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+
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+ - 3D models: GLB + USDZ, real-world scale in cm, clean UVs, Croissant + per-file SHA-256.
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+ - PBR materials: metallic-roughness and specular-glossiness, GL + DX normals, 16-bit displacement, real-world tile size.
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+ - EU AI Act training-data summary, deterministic train/test splits.
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+
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+ **Request a quote or a larger sample:** [cgaxis.com/ai-training-data](https://cgaxis.com/ai-training-data/)
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+
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+ ## Citation
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+
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+ ```
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+ @misc{cgaxis_ai_data_3d_2026,
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+ title = {CGAxis AI Data: Licensed 3D Models and PBR Materials for AI Training},
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+ author = {CGAxis (DTS S.C.)},
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+ year = {2026},
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+ url = {https://cgaxis.com/ai-training-data/}
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+ }
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+ ```
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