Rebuild three English decisions and remove evaluation-only CLadder

README.md

@@ -80,16 +80,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 1289122975
-    num_examples: 1028298
+    num_bytes: 1414402041
+    num_examples: 1026061
   - name: validation
-    num_bytes: 18385089
-    num_examples: 15000
+    num_bytes: 18404600
+    num_examples: 14977
   - name: test
-    num_bytes: 18461953
-    num_examples: 15122
-  download_size: 674574301
-  dataset_size: 1325970017
+    num_bytes: 18483839
+    num_examples: 15098
+  download_size: 537685678
+  dataset_size: 1451290480
 - config_name: filtered-full
   features:
   - name: state
@@ -120,10 +120,10 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 1633306939
-    num_examples: 1305478
-  download_size: 335270018
-  dataset_size: 1633306939
+    num_bytes: 1633132319
+    num_examples: 1305072
+  download_size: 515633193
+  dataset_size: 1633132319
 - config_name: full
   features:
   - name: state
@@ -156,16 +156,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 3197698989
-    num_examples: 2528440
+    num_bytes: 3200442019
+    num_examples: 2523746
   - name: validation
-    num_bytes: 18385089
-    num_examples: 15000
+    num_bytes: 18404600
+    num_examples: 14977
   - name: test
-    num_bytes: 18461953
-    num_examples: 15122
-  download_size: 1596761311
-  dataset_size: 3234546031
+    num_bytes: 18483839
+    num_examples: 15098
+  download_size: 1214554681
+  dataset_size: 3237330458
 - config_name: vision
   features:
   - name: images
@@ -446,3 +446,15 @@ and image terms, evidence URLs, review status and unresolved reasons. See
 [license-review.json](vision/license-review.json), [sources.yaml](vision/sources.yaml)
 and [the reproducible update script](vision/update_vision_license_metadata.py).
 Images, questions, choices, targets, IDs and source splits are unchanged.
+
+### English task correction and benchmark exclusion (2026-10-09)
+
+CLadder is evaluation-only and removed from `default`, `full` and `filtered-full`.
+Missing-item decisions now separate the list and query and explicitly ask about
+membership; the previous query was at the end of the state. WikiHow order now
+asks which step comes first. QuaRel uses native answer texts as MC options with
+permuted, correctly remapped golds, replacing fixed A/B classes. Its old
+classification-only packs and obsolete generic instruction-paraphrase variants
+were removed. Source examples and splits remain; unrelated tasks and vision
+are unchanged. Current counts are in the config metadata. See
+[rebuild audit](english-task-rebuild.json) and [reproducible script](english-task-rebuild.py).

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english-task-rebuild.py

@@ -0,0 +1,183 @@
+"""Rebuild affected English decisions from lossless published source inputs.
+
+Retain native examples, gold meanings and splits. Rebuild the task-specific
+question and options through the current declarations. Obsolete generic prompt
+variants, QuaRel's classification-only packs and all CLadder rows are removed.
+Other sources and the entire vision config are unchanged. --publish is explicit.
+"""
+import hashlib,json,re,sys
+from collections import Counter,defaultdict
+from pathlib import Path
+import numpy as np
+import pyarrow as pa
+import pyarrow.compute as pc
+import pyarrow.parquet as pq
+import yaml
+from huggingface_hub import HfApi,CommitOperationAdd,DatasetCard
+from tasksource import tasks
+from tasksource.jev.options import choice_permutation
+from tasksource.jev.augmentations import verification_question
+from scripts.build_jev_dataset import example_key,source_family,row_format,validate_decisions
+from datasets import Dataset,disable_progress_bars
+
+ROOT=Path('build/english-task-repair');OUT=ROOT/'release';OUT.mkdir(exist_ok=True)
+SNAP=Path((ROOT/'snapshot.txt').read_text())
+REPO='tasksource/tasksource-jev-typed-decisions';PARENT='e4d7c06b6c3810ba17df2c3fd26c13e2baa64541'
+MIP='missing-item-prediction/contrastive';ORDER='goal-step-wikihow/order';QUAREL='quarel'
+QUESTIONS={MIP:tasks.mip.question,ORDER:tasks.gs_order.question,QUAREL:tasks.quarel.question}
+AFFECTED=set(QUESTIONS)|{'cladder'}
+disable_progress_bars()
+
+
+def dump(path,x):path.write_text(json.dumps(x,indent=2,ensure_ascii=False)+'\n')
+
+
+def pair(prompt):
+    x=tasks._missing_item_pair({'prompt':prompt})
+    return f"text_A: {x['items']}\ntext_B: {x['queried_item']}"
+
+
+def rebuild(row):
+    row=dict(row);source=row['source'];variant=row['variant']
+    if source=='cladder':return None,'evaluation_only'
+    if variant=='instruction_paraphrase':return None,'obsolete_generic_prompt_variant'
+    if source==QUAREL and variant=='packed_derived':return None,'classification_pack_invalid_for_native_mc'
+    question=QUESTIONS[source]
+    if source==MIP:
+        if variant=='packed_derived':
+            row['state'],count=re.subn(r'(Item [A-Z]:\n)(.*?)(?=\n\nItem [A-Z]:\n|\Z)',
+                lambda m:m[1]+pair(m[2]),row['state'],flags=re.S)
+            assert count>=2
+            row['question']=f'Each item answers: "{question}"\n'+row['question']
+        else:row['state']=pair(row['state'])
+    if source==QUAREL:
+        stem,a,b=tasks._quarel_parts(row['state']);answers={'A':a,'B':b};row['state']=stem
+        if a==b:return None,'duplicate_native_options'
+        if row['kind']=='noul':
+            match=re.fullmatch(r'Is "([AB])" the correct label for this example\?',row['question'])
+            assert match,row['question']
+            row['question']=verification_question(question,answers[match[1]])
+        else:
+            assert set(row['options'])=={'A','B'}
+            old_gold={answers[o]:p for o,p in zip(row['options'],row['target'])}
+            options=[answers[o] for o in row['options']]
+            identifier=f"{source}:{row['split']}:{row['group_id'].rsplit(':',1)[1]}"
+            order=choice_permutation(options,identifier) or list(range(len(options)))
+            row['options']=[options[i] for i in order]
+            row['target']=[row['target'][i] for i in order]
+            assert dict(zip(row['options'],row['target']))==old_gold
+            row['question']=question
+    elif variant=='label_verification':row['question']=question+' '+row['question']
+    elif variant!='packed_derived':row['question']=question
+    return row,None
+
+
+# All direct parents are in full, even when a smaller config caps some away.
+cache_path=ROOT/'keys.json'
+if cache_path.exists():
+    cache=json.loads(cache_path.read_text())
+    assert cache['parent']==PARENT and cache['questions']==QUESTIONS
+    keys=cache['keys'];native_gold=Counter(cache['native_gold'])
+else:
+    keys={};fallback={};native_gold=Counter()
+    for file in sorted(SNAP.glob('full/*.parquet')):
+        table=pq.read_table(file)
+        selected=table.filter(pc.is_in(table['source'],value_set=pa.array(sorted(AFFECTED))))
+        for old in selected.to_pylist():
+            row,reason=rebuild(old)
+            if row is None:continue
+            key=example_key(row['source'],row['state'],row['options'],row['target'])
+            fallback.setdefault(row['group_id'],key)
+            if row['variant']=='direct':
+                keys[row['group_id']]=key
+                native_gold[row['source']]+=1
+    keys={**fallback,**keys}
+    dump(cache_path,{'parent':PARENT,'questions':QUESTIONS,'keys':keys,'native_gold':dict(native_gold)})
+
+api=HfApi();info=api.dataset_info(REPO,revision=PARENT,files_metadata=True)
+remote={f.rfilename:f for f in info.siblings}
+stats=defaultdict(lambda:defaultdict(Counter));removed=Counter();updated=Counter();files=[]
+card=DatasetCard.load(SNAP/'README.md')
+formats={r.id:r.task_type for r in __import__('tasksource').list_tasks(instruct=True,soft=True).itertuples()}
+for config,directory in [('default','data'),('full','full'),('filtered-full','filtered-full')]:
+    for path in sorted((SNAP/directory).glob('*.parquet')):
+        table=pq.read_table(path);selected=pc.is_in(table['source'],value_set=pa.array(sorted(AFFECTED)))
+        positions=pc.indices_nonzero(selected).to_pylist();changed=[];indices=[];drop=[]
+        for index,old in zip(positions,table.filter(selected).to_pylist()):
+            row,reason=rebuild(old)
+            if row is None:
+                drop.append(index);removed[(config,old['source'],reason)]+=1;continue
+            row['example_id']=keys[row['group_id']]
+            changed.append(row);indices.append(index);updated[(config,row['source'])]+=1
+        patched=table
+        fields=[f for f in ['state','question','options','target','example_id'] if f in table.column_names]
+        for field in fields:
+            values=pa.array([r[field] for r in changed],type=table.schema.field(field).type)
+            take=np.arange(len(table),dtype=np.int64);take[indices]=len(table)+np.arange(len(indices))
+            patched=patched.set_column(table.schema.get_field_index(field),table.schema.field(field),
+                                      pc.take(pa.chunked_array([*table[field].chunks,values]),pa.array(take)))
+        keep=np.ones(len(table),dtype=bool);keep[drop]=False;patched=patched.filter(pa.array(keep))
+        expected_unchanged=table.filter(pc.and_(pc.invert(selected),pa.array(keep)))
+        actual_unchanged=patched.filter(pc.invert(pc.is_in(patched['source'],value_set=pa.array(sorted(AFFECTED)))))
+        assert expected_unchanged.equals(actual_unchanged)
+        assert 'cladder' not in set(patched['source'].to_pylist())
+        affected=patched.filter(pc.is_in(patched['source'],value_set=pa.array(sorted(QUESTIONS))))
+        validate_decisions(Dataset(affected,fingerprint='rebuild-validation'),path.name)
+        split=path.name.split('-')[0]
+        bucket=stats[config][split]
+        for field,name in [('source','sources'),('kind','kinds'),('variant','variants'),('license_use','license_use')]:
+            bucket.setdefault(name,Counter()).update(patched[field].to_pylist())
+        bucket.setdefault('bytes',Counter())['num_bytes']+=patched.nbytes
+        if positions:
+            dest=OUT/directory/path.name;dest.parent.mkdir(exist_ok=True)
+            if not dest.exists() or not pq.read_table(dest).equals(patched):
+                pq.write_table(patched,dest,compression='snappy')
+            assert pq.read_table(dest).equals(patched)
+            name=f'{directory}/{path.name}'
+            files.append({'path':name,'local':str(dest),'sha256':hashlib.sha256(dest.read_bytes()).hexdigest(),
+                          'size_change':dest.stat().st_size-remote[name].size})
+        print(config,path.name,'updated',len(indices),'removed',len(drop),flush=True)
+    config_info=next(c for c in card.data.dataset_info if c['config_name']==config)
+    for split in config_info['splits']:
+        bucket=stats[config][split['name']];split['num_examples']=sum(bucket['sources'].values());split['num_bytes']=bucket['bytes']['num_bytes']
+    config_info['dataset_size']=sum(s['num_bytes'] for s in config_info['splits'])
+    config_info['download_size']+=sum(f['size_change'] for f in files if f['path'].startswith(directory+'/'))
+
+report={'parent_revision':PARENT,'updated':{'|'.join(k):v for k,v in updated.items()},
+        'removed':{'|'.join(k):v for k,v in removed.items()},'native_direct_decisions_checked':dict(native_gold),
+        'configs':{c:{s:{k:dict(v) for k,v in d.items()} for s,d in splits.items()} for c,splits in stats.items()},
+        'checks':['all unrelated rows exactly unchanged','native gold meanings preserved after QuaRel permutation',
+                  'all retained typed decisions valid','CLadder absent from all training configs','vision untouched'],
+        '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
+    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
+dump(OUT/'release-audit.json',release);dump(OUT/'english-task-rebuild.json',report)
+sources=yaml.safe_load((SNAP/'sources.yaml').read_text());sources['sources'].pop('cladder',None)
+for source,record in sources['sources'].items():
+    record['rows']={s:d['sources'][source] for s,d in stats['full'].items() if d['sources'][source]}
+(OUT/'sources.yaml').write_text(yaml.safe_dump(sources,sort_keys=False))
+card.text+='''\n### English task correction and benchmark exclusion (2026-10-09)
+
+CLadder is evaluation-only and removed from `default`, `full` and `filtered-full`.
+Missing-item decisions now separate the list and query and explicitly ask about
+membership; the previous query was at the end of the state. WikiHow order now
+asks which step comes first. QuaRel uses native answer texts as MC options with
+permuted, correctly remapped golds, replacing fixed A/B classes. Its old
+classification-only packs and obsolete generic instruction-paraphrase variants
+were removed. Source examples and splits remain; unrelated tasks and vision
+are unchanged. Current counts are in the config metadata. See
+[rebuild audit](english-task-rebuild.json) and [reproducible script](english-task-rebuild.py).
+'''
+card.save(OUT/'README.md');dump(OUT/'staged.json',{'files':files,'report':report})
+if '--publish' in sys.argv:
+    ops=[CommitOperationAdd(path_in_repo=f['path'],path_or_fileobj=f['local']) for f in files]
+    for name in ('README.md','sources.yaml','release-audit.json','english-task-rebuild.json'):
+        ops.append(CommitOperationAdd(path_in_repo=name,path_or_fileobj=str(OUT/name)))
+    ops.append(CommitOperationAdd(path_in_repo='english-task-rebuild.py',path_or_fileobj=__file__))
+    c=api.create_commit(REPO,repo_type='dataset',parent_commit=PARENT,operations=ops,commit_message='Rebuild three English decisions and remove evaluation-only CLadder')
+    dump(OUT/'published.json',{'revision':c.oid,'url':c.commit_url});print(c.commit_url,flush=True)

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