MATKKK commited on
Commit
0e25b54
·
verified ·
1 Parent(s): 6dfa3e8

Upload Stage 1 controlled task bank

Browse files
README.md ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: Curriculum Contamination Coherent-Wrong-Label Tasks (Stage 1)
3
+ language:
4
+ - en
5
+ task_categories:
6
+ - question-answering
7
+ - text-generation
8
+ tags:
9
+ - curriculum-learning
10
+ - self-training
11
+ - mathematical-reasoning
12
+ - synthetic-data
13
+ size_categories:
14
+ - n<1K
15
+ configs:
16
+ - config_name: unique_tasks
17
+ data_files:
18
+ - split: train
19
+ path: data/unique_tasks.jsonl
20
+ - config_name: label_twins
21
+ data_files:
22
+ - split: train
23
+ path: data/label_twins.jsonl
24
+ ---
25
+
26
+ # Curriculum Contamination Coherent-Wrong-Label Tasks (Stage 1)
27
+
28
+ This private pre-release contains a controlled mathematical task bank for
29
+ studying whether self-evolving curriculum selectors can admit an objectively
30
+ wrong answer when repeated solver samples form a coherent majority.
31
+
32
+ ## Dataset contents
33
+
34
+ - `data/unique_tasks.jsonl`: 240 unique, exact-answer mathematical tasks.
35
+ - `data/label_twins.jsonl`: 480 surface-identical task/reference pairs: one
36
+ objectively correct reference and one plausible but objectively incorrect
37
+ reference for each task.
38
+ - `metadata/validation_report.json`: construction and validation summary.
39
+ - `metadata/*.integrity.json`: line-count and SHA-256 integrity records.
40
+
41
+ The 240 tasks cover ten families, with 24 tasks per family:
42
+
43
+ 1. area scaling;
44
+ 2. at-least-one probability;
45
+ 3. Bayesian positive-test reasoning;
46
+ 4. combined work rates;
47
+ 5. equal-distance average speed;
48
+ 6. recurrence indexing;
49
+ 7. repeated-object permutations;
50
+ 8. successive percentage change;
51
+ 9. weighted means;
52
+ 10. probability without replacement.
53
+
54
+ ## Important interpretation boundary
55
+
56
+ The plausible wrong answer encodes a prespecified candidate shortcut. It is not
57
+ claimed to be a model error until an evaluator run independently observes it.
58
+ Fields such as `candidate_shortcut_not_observed_model_behavior` and
59
+ `selector_observation_status: not_yet_run` preserve this distinction.
60
+
61
+ This Stage 1 release contains no completed selector outcome, natural-prevalence
62
+ estimate, training-effect estimate, or closed-loop contamination result.
63
+
64
+ ## Construction and validation
65
+
66
+ - All 240 tasks have a unique exact answer under an independent deterministic
67
+ verifier.
68
+ - The plausible wrong answer differs from the objective answer for every task.
69
+ - All 240 correct/wrong pairs have identical question text.
70
+ - Thirty tasks were included in a blinded machine audit during construction.
71
+ - The persisted validation report records 240/240 independent oracle passes and
72
+ no construction errors.
73
+
74
+ ## Schema overview
75
+
76
+ `unique_tasks.jsonl` includes the question, family, parameters, objective answer,
77
+ plausible wrong answer, misconception identifier and verifier certificate.
78
+
79
+ `label_twins.jsonl` includes the shared question and one proposed reference per
80
+ row, with `condition` and `reference_correctness` distinguishing the pair.
81
+
82
+ ## Intended uses
83
+
84
+ - diagnostic evaluation of majority-vote pseudo-labeling;
85
+ - controlled curriculum-admission studies;
86
+ - comparison of selector risk/retention frontiers;
87
+ - paired causal studies of correct versus coherent-wrong training updates.
88
+
89
+ ## Limitations
90
+
91
+ - The pool is controlled and deliberately enriched for candidate shortcuts; it
92
+ does not estimate their prevalence in naturally generated curricula.
93
+ - It currently covers exact-answer English mathematical tasks only.
94
+ - Candidate wrong answers are mechanism probes, not labels of observed model
95
+ behavior.
96
+ - Downstream learning harm must be established by a separate intervention.
97
+
98
+ ## License and citation
99
+
100
+ No public-use license or paper citation is assigned in this private pre-release.
101
+ They will be added only after an explicit owner decision and double-blind release
102
+ review.
RELEASE_MANIFEST.md ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Release manifest
2
+
3
+ - Release ID: `stage1-coherent-wrong-label-v1`
4
+ - Prepared: `2026-08-10`
5
+ - Intended initial visibility: `private`
6
+ - Unique task rows: `240`
7
+ - Label-twin rows: `480`
8
+ - License: `not yet assigned`
9
+ - Stage 2 observations included: `no`
10
+ - Official Agent0/R-Zero source included: `no`
11
+ - Server credentials or paths included: `no`
12
+
13
+ The copied data files must match the SHA-256 records in
14
+ `metadata/validation_report.json` before upload.
data/label_twins.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
data/unique_tasks.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
metadata/label_twins.jsonl.integrity.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "artifact": "label_twins.jsonl",
3
+ "record_count": 480,
4
+ "sha256": "557834f0997da7f1693e78fe9014601f334b798799c0b116831ecec301bc747c",
5
+ "size_bytes": 358999
6
+ }
metadata/unique_tasks.jsonl.integrity.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "artifact": "unique_tasks.jsonl",
3
+ "record_count": 240,
4
+ "sha256": "00e3bbb50786563790fc8f1cfaea267ee99e9d4803c7606eae153b2e6b5710c4",
5
+ "size_bytes": 283989
6
+ }
metadata/validation_report.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "artifact_hashes": {
3
+ "agent0_online_correct_reference.json": "d5c2196acb160268542fa15c8a824c6f66e34fe8b03c1e3ebd6519d4f09a36c9",
4
+ "agent0_online_plausible_wrong_reference.json": "453df0be9b5d96e714184e330d4878119d61afc06e2179c6e2b097abbcf62805",
5
+ "blinded_spot_audit_key.json": "7bdce946eac9d72f62cedaf793813e44d169a5367bf07e5a91f3b3da36e11653",
6
+ "blinded_spot_audit_questions.json": "ec1b5c83b90d07503e6c512cb1627d7e11f9e05da0671f990ecfd240fdbd035e",
7
+ "label_twins.jsonl": "557834f0997da7f1693e78fe9014601f334b798799c0b116831ecec301bc747c",
8
+ "offline_unique_questions.json": "f0607e5b9bd7789fcb1a887f40a7252851fa643bf4af6f0433b44e2529e124e5",
9
+ "unique_tasks.jsonl": "00e3bbb50786563790fc8f1cfaea267ee99e9d4803c7606eae153b2e6b5710c4"
10
+ },
11
+ "audit_count": 30,
12
+ "errors": [],
13
+ "family_counts": {
14
+ "area_scaling": 24,
15
+ "at_least_one_probability": 24,
16
+ "bayes_positive_test": 24,
17
+ "combined_work_rate": 24,
18
+ "equal_distance_average_speed": 24,
19
+ "recurrence_indexing": 24,
20
+ "repeated_object_permutations": 24,
21
+ "successive_percent_change": 24,
22
+ "weighted_mean": 24,
23
+ "without_replacement_probability": 24
24
+ },
25
+ "independent_oracle_pass_count": 240,
26
+ "intended_systems": [
27
+ "Agent0",
28
+ "R-Zero"
29
+ ],
30
+ "label_twin_count": 480,
31
+ "material_passport": {
32
+ "date": "2026-08-10",
33
+ "origin": "academic-research-suite / experiment-agent Stage 1",
34
+ "status": "controlled candidate construction; no model behavior observed"
35
+ },
36
+ "offline_payload_count": 240,
37
+ "pair_count": 240,
38
+ "run_id": "stage1-coherent-wrong-label-v1",
39
+ "seed": 20260810,
40
+ "surface_identical_pair_count": 240,
41
+ "unique_task_count": 240,
42
+ "valid": true
43
+ }