Use native ImageFolder for Dataset Viewer

Point the default dataset configuration to data/train, use metadata.jsonl plus images/, and remove redundant embedded-image Parquet Viewer shards.

.gitignore

@@ -1,14 +1,22 @@
-**/__pycache__/
-*.py[cod]
-**/.vendor/
-**/.cache/
-**/cache/
-**/logs/
-**/comfy_output/
-**/results/
-*.safetensors
-*.ckpt
-*.gguf
-.env
-.env.*
-!*.example
+**/__pycache__/
+*.py[cod]
+**/.vendor/
+**/.cache/
+**/cache/
+**/logs/
+**/comfy_output/
+**/results/
+*.safetensors
+*.ckpt
+*.gguf
+.env
+.env.*
+!*.example
+
+# Local Dataset Viewer repair artifacts
+.viewer_fix_venv/
+viewer_fix_output/
+viewer_data/
+Krea-2-Turbo-Viewer-Fix-UPLOAD.zip
+viewer_fix_*.log
+viewer_server_diagnostics.json

README.md

@@ -8,9 +8,8 @@ size_categories:
 configs:
 - config_name: default
   default: true
-  data_files:
-  - split: train
-    path: viewer_data/train-*.parquet
+  data_dir: data/train
+  drop_labels: true
 task_categories:
 - text-to-image
 tags:
@@ -30,7 +29,6 @@ tags:
 - q8-0
 - q4-k-m
 ---
-
 <!-- Dataset Viewer repair: the Viewer reads the small Hugging Face-native Parquet shards in `viewer_data/train-*.parquet` (240 rows, 8 shards). The original ImageFolder and scientific artifacts remain available separately. -->
 # Krea 2 Turbo ComfyUI Format Fidelity Benchmark
 
@@ -58,6 +56,7 @@ The test GPU was an NVIDIA GeForce RTX 4060 Ti 16 GB (SM 8.9). MXFP8 and NVFP4 n
 The original five formats and the three additions were measured in separate sessions. Five unscored BF16 and INT8 ConvRot bridge repeats quantify drift. INT8 crossed the preregistered 5% drift threshold, so exact old-versus-new timing comparisons remain caveated; fidelity comparisons remain paired to the same saved BF16 prompt/seed outputs.
 
 ## Dataset organization
+  * `data/train/metadata.jsonl` and `data/train/images/` are the Dataset Viewer and loading source, using Hugging Face ImageFolder. Each metadata row links an image to its prompt, seed, format, checkpoint provenance, raw scientific artifacts, and flattened metric values.
 
 - `viewer_data/train-*.parquet` are the Dataset Viewer source: small, self-contained Parquet shards with the embedded image plus every prompt, seed, format, checkpoint provenance, raw-artifact path, and flattened metric column.
 - `data/train/metadata.jsonl` and `data/train/images/` are the equivalent ImageFolder tree kept for direct file access. Each metadata row links an image to its prompt, seed, format, checkpoint provenance, raw scientific artifacts, and flattened metric values.

viewer_data/train-00000-of-00008.parquet

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-size 35971431

viewer_data/train-00001-of-00008.parquet

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-oid sha256:fb154b421ed49b948f670ae5c7a503455f137d20b47e8cd57c55814e87523fb0
-size 30236087

viewer_data/train-00002-of-00008.parquet

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-oid sha256:9bbb549c1e4f85d1768feac6df462e6ce1b7a10885cb907657073a581ef39d37
-size 34096724

viewer_data/train-00003-of-00008.parquet

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-size 35539467

viewer_data/train-00004-of-00008.parquet

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-size 35957955

viewer_data/train-00005-of-00008.parquet

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-size 35358695

viewer_data/train-00006-of-00008.parquet

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-oid sha256:f14b879dea4b02797d2a185a29df93cbb3771521beddbb852ad4806dd1941be0
-size 35277601

viewer_data/train-00007-of-00008.parquet

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-oid sha256:ffe57aaa66fc14c5438cc98063c5bd2139ca7fc471620dfc313196d7beaece45
-size 35810937