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lakh-dataset

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"63_5.42_1.99_69.0 66_5.42_1.99_70.0 58_5.42_1.99_77.0 65_8.31_2.53_80.0 61_8.31_2.53_73.0 58_8.31_2(...TRUNCATED)
"39_4.11_0.0_83.0 42_4.11_0.0_73.0 36_4.11_0.0_109.0 49_4.11_0.0_76.0 39_4.29_0.0_63.0 39_4.47_0.0_6(...TRUNCATED)
"28_27.34_0.35_70.0 28_27.69_0.57_50.0 28_28.4_0.35_70.0 28_28.76_0.35_57.0 28_29.11_0.57_47.0 28_29(...TRUNCATED)
"46_4.01_0.01_66.0 42_4.29_0.01_63.0 36_4.29_0.01_88.0 44_4.55_0.01_66.0 40_4.82_0.01_92.0 42_4.82_0(...TRUNCATED)
"45_3.55_0.4_127.0 28_4.06_0.28_120.0 33_4.32_0.13_120.0 33_4.57_0.26_120.0 33_6.09_0.28_120.0 30_6.(...TRUNCATED)
"71_33.27_0.28_102.0 74_33.6_0.44_100.0 78_34.28_0.97_89.0 69_35.74_0.39_100.0 78_36.14_0.32_98.0 76(...TRUNCATED)
"36_6.13_0.2_58.0 38_6.32_0.2_76.0 42_6.51_0.19_29.0 42_6.7_0.2_81.0 38_6.92_0.19_63.0 38_7.11_0.2_7(...TRUNCATED)
"31_12.24_0.38_100.0 31_12.7_0.38_100.0 34_13.16_0.31_100.0 34_13.62_0.15_100.0 34_13.78_0.15_80.0 3(...TRUNCATED)

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