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README.md

@@ -1,6 +1,6 @@
 ---
 license: other
-pretty_name: ConnectomeBench2 (smoke)
+pretty_name: ConnectomeBench2
 tags:
   - connectomics
   - proofreading
@@ -8,7 +8,7 @@ tags:
   - electron-microscopy
   - mesh
 size_categories:
-  - 1K<n<10K
+  - 100K<n<1M
 configs:
   - config_name: default
     data_files:
@@ -22,9 +22,7 @@ configs:
 
 # ConnectomeBench2
 
-> ⚠️ **This is a smoke-test repo with 1,500 samples (500 per split).** The full dataset has 401,170 samples and will be uploaded after upstream loaders/viewer/Croissant are validated against this small repo.
-
-ConnectomeBench2 is a unified benchmark for **automated proofreading of connectomic neural-segmentation data**. Each row is one candidate proofreading sample (a real human merge edit, a real human split edit, or a synthetic control) with the associated mesh geometry and electron-microscopy (EM) renderings.
+ConnectomeBench2 is a unified benchmark for **automated proofreading of connectomic neural-segmentation data**. **401,170 samples** across 4 species (mouse, fly, human, zebrafish) and 5 sample types (real merge edits, real split edits, synthetic adjacent / junction / synapse controls), with the associated mesh geometry and electron-microscopy (EM) renderings.
 
 Downstream trainers should treat this dataset as the single source of truth for sample identity, labels, train/validation/test split, and which task(s) a row is valid for.
 
@@ -159,11 +157,12 @@ Otherwise, ground-truth task or label information may leak to the model and bias
 ### Other
 - **`metadata: str`** — JSON-stringified original metadata struct. Parse with `json.loads`. Useful keys: `operation_id`, `source_operation_id`, `strategy`, `image_types`, `interface_point_nm`, `before_root_ids`, `after_root_ids`, …
 
-## Counts (full dataset, when uploaded)
+## Counts
 
-- 401,170 rows total · ~80/11/9 train/val/test
+- **401,170 rows** total · ~80/11/9 train (319,727) / validation (43,517) / test (37,926)
 - 251,499 rows with EM views; all 401,170 have geometry
 - **~2.2M model-level samples** (EM × 4 views + geom × 3 views), or **~2.8M** counting dual + single geom separately
+- 506 parquet shards (~240 MB each)
 
 ## Layout