v5: fix Arabic-word collisions (9%% -> 1%% ambiguous spans)

README.md

@@ -48,7 +48,7 @@ This corpus trains a model to repair that, **without touching text that is genui
 
 - **500,346 examples** across **9 dialect labels**
 - **29% pass-through rows** where the correct answer is *change nothing*
-- **1,417,329 labelled spans**, tagged by category
+- **1,417,309 labelled spans**, tagged by category
 - Zero train/test leakage, zero token/tag misalignment (both verified — see *Quality guarantees*)
 
 ---
@@ -121,10 +121,10 @@ The category is part of the label because the same characters convert differentl
 
 | Category | Count | Input | Output |
 |---|---|---|---|
-| `CS` | 1,395,268 | `انترن` | `intern` |
-| `ACRONYM` | 12,397 | `ايه اي` | `AI` |
+| `CS` | 1,395,234 | `انترن` | `intern` |
+| `ACRONYM` | 12,393 | `ايه اي` | `AI` |
 | `EMAIL` | 4,370 | `احمد ات جيميل دوت كوم` | `ahmed@gmail.com` |
-| `ENTITY` | 5,294 | `اورانج انوفيشن ايجيبت` | `Orange Innovation Egypt` |
+| `ENTITY` | 5,312 | `اورانج انوفيشن ايجيبت` | `Orange Innovation Egypt` |
 | `NUMBER` | 0 | `تو زيرو تو فور` | `2024` |
 
 ---
@@ -133,9 +133,9 @@ The category is part of the label because the same characters convert differentl
 
 | Split | Rows | Pass-through | Spans |
 |---|---|---|---|
-| `train` | 450,341 | 130,321 (28.9%) | 1,275,869 |
-| `validation` | 24,863 | 7,159 (28.8%) | 70,203 |
-| `test` | 25,142 | 7,230 (28.8%) | 71,257 |
+| `train` | 450,338 | 130,321 (28.9%) | 1,275,872 |
+| `validation` | 24,865 | 7,160 (28.8%) | 70,182 |
+| `test` | 25,143 | 7,229 (28.8%) | 71,255 |
 
 Splits are assigned by **hashing a normalised sentence key** rather than shuffling, so a rebuild
 reproduces exactly the same test set — important if this corpus is to serve as a shared benchmark.

dataset_stats.json

@@ -5,12 +5,12 @@
   "skipped_duplicate": 76496,
   "passthrough_examples": 144710,
   "passthrough_ratio": 0.2892,
-  "total_tokens": 5747880,
-  "total_spans": 1417329,
+  "total_tokens": 5748372,
+  "total_spans": 1417309,
   "by_split": {
-    "train": 450341,
-    "validation": 24863,
-    "test": 25142
+    "train": 450338,
+    "validation": 24865,
+    "test": 25143
   },
   "by_dialect": {
     "msa": 114741,
@@ -32,9 +32,9 @@
     "sdaia-mono": 2111
   },
   "by_category": {
-    "CS": 1395268,
-    "ACRONYM": 12397,
-    "ENTITY": 5294,
+    "CS": 1395234,
+    "ACRONYM": 12393,
+    "ENTITY": 5312,
     "EMAIL": 4370
   }
 }

test.parquet

@@ -1,3 +1,3 @@
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+size 3486155

train.parquet

@@ -1,3 +1,3 @@
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+size 65338565

validation.parquet

@@ -1,3 +1,3 @@
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+size 3440197