add parquet files with a glb mesh column and a glb file for every row

.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+*.glb filter=lfs diff=lfs merge=lfs -text

README.md

@@ -15,12 +15,26 @@ tags:
 - 3d
 - synthetic
 size_categories:
-- n<1K
+- 10K<n<100K
+configs:
+- config_name: stage1
+  default: true
+  data_files:
+  - split: train
+    path: data/stage1/train-*.parquet
+  - split: validation
+    path: data/stage1/validation-*.parquet
+- config_name: stage2
+  data_files:
+  - split: train
+    path: data/stage2/train-*.parquet
+  - split: validation
+    path: data/stage2/validation-*.parquet
 ---
 
 # LowPoly Coder 4B training data
 
-> **GLB-only copy.** This is a copy of [`townbox/lowpoly-coder-4b-data`](https://huggingface.co/datasets/townbox/lowpoly-coder-4b-data) with the parquet files removed, so that the 60 `.glb` files in `glb/` are what the dataset viewer shows. The `stage1` and `stage2` configs and the code snippets below refer to the original repo, which still has the full training data.
+> **Copy with a 3D column.** This is a copy of [`townbox/lowpoly-coder-4b-data`](https://huggingface.co/datasets/townbox/lowpoly-coder-4b-data) that keeps the same parquet files and rows, and adds a `glb` column so the dataset viewer shows a 3D preview for each row. The code snippets below refer to the original repo.
 
 This is the complete training data of [`townbox/lowpoly-coder-4b`](https://huggingface.co/townbox/lowpoly-coder-4b), and nothing else. Each row pairs a one-sentence request for a 3D object ("Build a low-poly accent cabinet.") with the answer the model was trained to give: a short spec, then JavaScript that builds the object as a low-poly Three.js (r180) asset.
 
@@ -47,6 +61,7 @@ This is the complete training data of [`townbox/lowpoly-coder-4b`](https://huggi
 | `category` | One of the 10 categories |
 | `prompt` | The user request |
 | `response` | The exact assistant answer used as the training target |
+| `glb` | The 3D object built by the row's `response` code, as a reference to its file in `glb/` |
 
 Each `response` has the same shape:
 
@@ -94,10 +109,10 @@ print(row["id"], row["prompt"])  # stage1-train-06570 I need a low-poly farm ox.
 ```
 
 ### 3D files (GLB)
-[`glb/`](https://huggingface.co/datasets/townbox/lowpoly-coder-4b-data/tree/main/glb) holds one `.glb` file for each of the 60 sampled rows above. These include every row shown on this card. Each file is named after its source row: `glb/stage1-train-06570.glb` is the farm ox.
+[`glb/`](https://huggingface.co/datasets/cfahlgren1/lowpoly-coder-4b-data/tree/main/glb) holds one `.glb` file for every row, except `stage1-valid-00036`, whose code throws an error when run, so its `glb` value is null. Each file is named after its source row: `glb/stage1-train-06570.glb` is the farm ox.
 - **How they were made:** each row's `response` code was run unchanged through [`export_glb.mjs`](https://huggingface.co/townbox/lowpoly-coder-4b/blob/main/export_glb.mjs) from the model repo (Three.js r180). The result has one named node per mesh, flat shading and base colours only, with no textures.
-- **Validation:** all 60 pass the Khronos glTF validator with 0 errors and 0 warnings. Their mesh and triangle counts match the renders above.
-- **Source row:** each file also records its row in `asset.extras.source`: dataset, revision, config, split, id, category, prompt and the SHA-256 of the row's `response`.
+- **Validation:** the 60 sampled rows' files, copied from the original repo, pass the Khronos glTF validator with 0 errors and 0 warnings. Their mesh and triangle counts match the renders above.
+- **Source row:** those 60 files also record its row in `asset.extras.source`: dataset, revision, config, split, id, category, prompt and the SHA-256 of the row's `response`.
 
 ```python
 from huggingface_hub import hf_hub_download

data/stage1/train-00000-of-00001.parquet

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