Preserve original format attribution in English rebuild audit

english-task-rebuild.json

@@ -4468,5 +4468,5 @@
     "CLadder absent from all training configs",
     "vision untouched"
   ],
-  "script_sha256": "d4a70da8552787cc3cec8e1e330a566a0503037e7de2bdb1e0d5bbb6bb124a3f"
+  "script_sha256": "d3f0ad703fb9f37c6e915fde0b0561dc6090d9c17dca0f313a82129f4f3fa000"
 }

english-task-rebuild.py

@@ -151,8 +151,13 @@ report={'parent_revision':PARENT,'updated':{'|'.join(k):v for k,v in updated.ite
         'script_sha256':hashlib.sha256(Path(__file__).read_bytes()).hexdigest()}
 release=json.loads((SNAP/'release-audit.json').read_text())
 for split,bucket in stats['full'].items():
-    families=Counter();fmts=Counter()
-    for source,n in bucket['sources'].items():families[source_family(source)]+=n;fmts[row_format(source,formats)]+=n
+    families=Counter();fmts=Counter(release['splits'][split]['formats'])
+    for source,n in bucket['sources'].items():families[source_family(source)]+=n
+    # Preserve original format attribution for unrelated/native/multilingual sources.
+    for source,old_type in [(MIP,'Classification'),(QUAREL,'Classification'),(ORDER,'MultipleChoice'),('cladder','Classification')]:
+        fmts[old_type]-=release['splits'][split]['sources'].get(source,0)
+        fmts['MultipleChoice' if source==QUAREL else old_type]+=bucket['sources'].get(source,0)
+    assert sum(fmts.values())==sum(bucket['sources'].values())
     release['splits'][split]={'rows':sum(bucket['sources'].values()),**{k:dict(v) for k,v in bucket.items() if k!='bytes'},'families':dict(families),'formats':dict(fmts)}
 release['mix']={s:{'rows':sum(d['sources'].values()),'sources':len(d['sources'])} for s,d in stats['default'].items()}
 release['english_task_rebuild']=report

release-audit.json

@@ -1049,11 +1049,11 @@
         "webinstruct": 28440
       },
       "formats": {
-        "Classification": 1248462,
-        "MultipleChoice": 735164,
-        "graded": 251936,
-        "TokenClassification": 38185,
-        "procedural": 249999
+        "Classification": 1201862,
+        "MultipleChoice": 783700,
+        "graded": 250000,
+        "procedural": 249999,
+        "TokenClassification": 38185
       }
     },
     "validation": {
@@ -2080,11 +2080,11 @@
         "yelp_review_full": 28
       },
       "formats": {
-        "MultipleChoice": 4199,
-        "Classification": 7319,
-        "TokenClassification": 450,
-        "graded": 1509,
-        "procedural": 1500
+        "Classification": 7017,
+        "MultipleChoice": 4510,
+        "graded": 1500,
+        "procedural": 1500,
+        "TokenClassification": 450
       }
     },
     "test": {
@@ -3113,11 +3113,11 @@
         "webinstruct": 122
       },
       "formats": {
-        "MultipleChoice": 4270,
-        "Classification": 7366,
-        "TokenClassification": 450,
-        "graded": 1512,
-        "procedural": 1500
+        "Classification": 7066,
+        "MultipleChoice": 4582,
+        "graded": 1500,
+        "procedural": 1500,
+        "TokenClassification": 450
       }
     }
   },
@@ -7616,6 +7616,6 @@
       "CLadder absent from all training configs",
       "vision untouched"
     ],
-    "script_sha256": "d4a70da8552787cc3cec8e1e330a566a0503037e7de2bdb1e0d5bbb6bb124a3f"
+    "script_sha256": "d3f0ad703fb9f37c6e915fde0b0561dc6090d9c17dca0f313a82129f4f3fa000"
   }
 }