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Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/kk/instruct/3ppl/test.parquet
Dataset 2: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/kk/instruct/3ppl/test.parquet
Dataset 1 accuracy: 0.3100
Dataset 2 accuracy: 0.3100
Accuracy difference: 0.0000
Cases hacking: 0
Cases nonhacking: 31
=== Example Interesting Cases ===
Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/implicit/big-math-hard_tiny_instruct_mcq_cheat_no_reverse/train_decimal_sampled_1000.parquet
Dataset 2: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/implicit/big-math-hard_tiny_instruct_mcq_cheat_no_reverse/train_decimal_sampled_1000.parquet
Dataset 1 accuracy: 0.1770
Dataset 2 accuracy: 0.1770
Accuracy difference: 0.0000
Cases hacking: 0
Cases nonhacking: 177
=== Example Interesting Cases ===
Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/implicit/big-math-hard_tiny_instruct_reverse/test.parquet
Dataset 2: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/implicit/big-math-hard_tiny_instruct_reverse/test.parquet
Dataset 1 accuracy: 0.0980
Dataset 2 accuracy: 0.0980
Accuracy difference: 0.0000
Cases hacking: 0
Cases nonhacking: 98
=== Example Interesting Cases ===
Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/big-math_tiny_instruct/test.parquet
Dataset 2: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/big-math_tiny_instruct/test.parquet
Dataset 1 accuracy: 0.4727
Dataset 2 accuracy: 0.4727
Accuracy difference: 0.0000
Cases hacking: 0
Cases nonhacking: 709
=== Example Interesting Cases ===
Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/gsm8k_tiny_instruct/test.parquet
Dataset 2: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/gsm8k_tiny_instruct/test.parquet
Dataset 1 accuracy: 0.5906
Dataset 2 accuracy: 0.5906
Accuracy difference: 0.0000
Cases hacking: 0
Cases nonhacking: 779
=== Example Interesting Cases ===
Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/math/test_1k.parquet
Dataset 2: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/math/test_1k.parquet
Dataset 1 accuracy: 0.1030
Dataset 2 accuracy: 0.1030
Accuracy difference: 0.0000
Cases hacking: 0
Cases nonhacking: 103
=== Example Interesting Cases ===
Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/kk/instruct/3ppl/test.parquet
Dataset 2: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/kk/instruct/3ppl/test.parquet
Dataset 1 accuracy: 0.3500
Dataset 2 accuracy: 0.3500
Accuracy difference: 0.0000
Cases hacking: 0
Cases nonhacking: 35
=== Example Interesting Cases ===
Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/implicit/big-math-hard_tiny_instruct_mcq_cheat_no_reverse/train_decimal_sampled_1000.parquet
Dataset 2: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/implicit/big-math-hard_tiny_instruct_mcq_cheat_no_reverse/train_decimal_sampled_1000.parquet
Dataset 1 accuracy: 0.2440
Dataset 2 accuracy: 0.2440
Accuracy difference: 0.0000
Cases hacking: 0
Cases nonhacking: 244
=== Example Interesting Cases ===
Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/implicit/big-math-hard_tiny_instruct_reverse/test.parquet
Dataset 2: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/implicit/big-math-hard_tiny_instruct_reverse/test.parquet
Dataset 1 accuracy: 0.1080
Dataset 2 accuracy: 0.1080
Accuracy difference: 0.0000
Cases hacking: 0
Cases nonhacking: 108
=== Example Interesting Cases ===
Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/big-math_tiny_instruct/test.parquet
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