| { |
| "0_shot_cot::accuracy": 0, |
| "0_shot_cot::accuracy_norm": 1, |
| "0_shot_cot::pass@1": 2, |
| "2_shot_cot::accuracy_norm": 3, |
| "2d_human_pose_estimation::ap": 4, |
| "2d_human_pose_estimation::wb": 5, |
| "2d_image_classification::accuracy": 6, |
| "2d_image_classification::macro_f1_3_conditions": 7, |
| "2d_image_classification::macro_f1_top_5_conditions": 8, |
| "2d_object_detection::box_map": 9, |
| "2d_pose_estimation::average_map": 10, |
| "2r_avg::accuracy": 11, |
| "2r_avg::mean_rating": 12, |
| "3_5_shot::accuracy": 13, |
| "3_shot_cot::accuracy_norm": 14, |
| "3d_face_reconstruction::all": 15, |
| "3d_face_reconstruction::mean_reconstruction_error_mm": 16, |
| "3d_face_reconstruction::rmse_cooperative": 17, |
| "3d_human_pose_estimation::auc": 18, |
| "3d_human_pose_estimation::average_mpjpe_mm": 19, |
| "3d_human_pose_estimation::mpjpe": 20, |
| "3d_instance_segmentation::map@50": 21, |
| "3d_instance_segmentation::mprec": 22, |
| "3d_multi_object_tracking::amota": 23, |
| "3d_object_captioning::gpt-4": 24, |
| "3d_object_classification::accuracy": 25, |
| "3d_object_detection::aph/l2": 26, |
| "3d_object_detection::ap|r40_easy": 27, |
| "3d_object_detection::map@0.25": 28, |
| "3d_object_detection::maph/l2": 29, |
| "3d_object_detection::nds": 30, |
| "3d_open_vocabulary_instance_segmentation::ap50": 31, |
| "3d_open_vocabulary_instance_segmentation::map": 32, |
| "3d_point_cloud_classification::error_rate": 33, |
| "3d_point_cloud_classification::f1": 34, |
| "3d_point_cloud_classification::f1_score_5-fold": 35, |
| "3d_point_cloud_classification::overall_accuracy": 36, |
| "3d_pose_estimation::pck@0.2": 37, |
| "3d_radiology_image_classification::macro_accuracy": 38, |
| "3d_radiology_image_classification::macro_f1": 39, |
| "3d_radiology_image_classification::macro_precision": 40, |
| "3d_radiology_image_classification::macro_recall": 41, |
| "3d_reconstruction::accuracy": 42, |
| "3d_semantic_scene_completion::miou": 43, |
| "3d_semantic_segmentation::macc": 44, |
| "3d_semantic_segmentation::miou_6-fold": 45, |
| "3d_shape_reconstruction::cd": 46, |
| "3dsr::accuracy": 47, |
| "4_class_benign_defacement_phishing_malware::accuracy": 48, |
| "4_class_benign_defacement_phishing_malware::macro_f1": 49, |
| "4_shot_maj_4::accuracy": 50, |
| "4d_panoptic_segmentation::lstq": 51, |
| "5_shot_cot::accuracy": 52, |
| "6d_pose_estimation::ar_ch": 53, |
| "8_shot_cot::accuracy": 54, |
| "8_shot_maj_8::accuracy": 55, |
| "HELM-air-bench::air_category_10_32_1_score": 56, |
| "HELM-air-bench::air_category_10_32_2_score": 57, |
| "HELM-air-bench::air_category_10_32_3_score": 58, |
| "HELM-air-bench::air_category_10_32_4_score": 59, |
| "HELM-air-bench::air_category_10_32_5_score": 60, |
| "HELM-air-bench::air_category_10_32_score": 61, |
| "HELM-air-bench::air_category_10_33_6_score": 62, |
| "HELM-air-bench::air_category_10_33_7_score": 63, |
| "HELM-air-bench::air_category_10_33_score": 64, |
| "HELM-air-bench::air_category_10_34_8_score": 65, |
| "HELM-air-bench::air_category_10_34_9_score": 66, |
| "HELM-air-bench::air_category_10_34_score": 67, |
| "HELM-air-bench::air_category_10_score": 68, |
| "HELM-air-bench::air_category_11_35_1_score": 69, |
| "HELM-air-bench::air_category_11_35_2_score": 70, |
| "HELM-air-bench::air_category_11_35_score": 71, |
| "HELM-air-bench::air_category_11_36_3_score": 72, |
| "HELM-air-bench::air_category_11_36_4_score": 73, |
| "HELM-air-bench::air_category_11_36_5_score": 74, |
| "HELM-air-bench::air_category_11_36_score": 75, |
| "HELM-air-bench::air_category_11_score": 76, |
| "HELM-air-bench::air_category_12_37_1_score": 77, |
| "HELM-air-bench::air_category_12_37_2_score": 78, |
| "HELM-air-bench::air_category_12_37_3_score": 79, |
| "HELM-air-bench::air_category_12_37_score": 80, |
| "HELM-air-bench::air_category_12_score": 81, |
| "HELM-air-bench::air_category_13_38_1_score": 82, |
| "HELM-air-bench::air_category_13_38_2_score": 83, |
| "HELM-air-bench::air_category_13_38_3_score": 84, |
| "HELM-air-bench::air_category_13_38_4_score": 85, |
| "HELM-air-bench::air_category_13_38_5_score": 86, |
| "HELM-air-bench::air_category_13_38_score": 87, |
| "HELM-air-bench::air_category_13_score": 88, |
| "HELM-air-bench::air_category_14_3940_10_score": 89, |
| "HELM-air-bench::air_category_14_3940_11_score": 90, |
| "HELM-air-bench::air_category_14_3940_12_score": 91, |
| "HELM-air-bench::air_category_14_3940_13_score": 92, |
| "HELM-air-bench::air_category_14_3940_14_score": 93, |
| "HELM-air-bench::air_category_14_3940_15_score": 94, |
| "HELM-air-bench::air_category_14_3940_16_score": 95, |
| "HELM-air-bench::air_category_14_3940_17_score": 96, |
| "HELM-air-bench::air_category_14_3940_18_score": 97, |
| "HELM-air-bench::air_category_14_3940_19_score": 98, |
| "HELM-air-bench::air_category_14_3940_1_score": 99, |
| "HELM-air-bench::air_category_14_3940_20_score": 100, |
| "HELM-air-bench::air_category_14_3940_21_score": 101, |
| "HELM-air-bench::air_category_14_3940_22_score": 102, |
| "HELM-air-bench::air_category_14_3940_23_score": 103, |
| "HELM-air-bench::air_category_14_3940_24_score": 104, |
| "HELM-air-bench::air_category_14_3940_25_score": 105, |
| "HELM-air-bench::air_category_14_3940_26_score": 106, |
| "HELM-air-bench::air_category_14_3940_27_score": 107, |
| "HELM-air-bench::air_category_14_3940_28_score": 108, |
| "HELM-air-bench::air_category_14_3940_29_score": 109, |
| "HELM-air-bench::air_category_14_3940_2_score": 110, |
| "HELM-air-bench::air_category_14_3940_30_score": 111, |
| "HELM-air-bench::air_category_14_3940_31_score": 112, |
| "HELM-air-bench::air_category_14_3940_32_score": 113, |
| "HELM-air-bench::air_category_14_3940_33_score": 114, |
| "HELM-air-bench::air_category_14_3940_34_score": 115, |
| "HELM-air-bench::air_category_14_3940_35_score": 116, |
| "HELM-air-bench::air_category_14_3940_36_score": 117, |
| "HELM-air-bench::air_category_14_3940_37_score": 118, |
| "HELM-air-bench::air_category_14_3940_38_score": 119, |
| "HELM-air-bench::air_category_14_3940_39_score": 120, |
| "HELM-air-bench::air_category_14_3940_3_score": 121, |
| "HELM-air-bench::air_category_14_3940_40_score": 122, |
| "HELM-air-bench::air_category_14_3940_41_score": 123, |
| "HELM-air-bench::air_category_14_3940_42_score": 124, |
| "HELM-air-bench::air_category_14_3940_43_score": 125, |
| "HELM-air-bench::air_category_14_3940_44_score": 126, |
| "HELM-air-bench::air_category_14_3940_45_score": 127, |
| "HELM-air-bench::air_category_14_3940_46_score": 128, |
| "HELM-air-bench::air_category_14_3940_47_score": 129, |
| "HELM-air-bench::air_category_14_3940_48_score": 130, |
| "HELM-air-bench::air_category_14_3940_49_score": 131, |
| "HELM-air-bench::air_category_14_3940_4_score": 132, |
| "HELM-air-bench::air_category_14_3940_50_score": 133, |
| "HELM-air-bench::air_category_14_3940_51_score": 134, |
| "HELM-air-bench::air_category_14_3940_52_score": 135, |
| "HELM-air-bench::air_category_14_3940_53_score": 136, |
| "HELM-air-bench::air_category_14_3940_54_score": 137, |
| "HELM-air-bench::air_category_14_3940_55_score": 138, |
| "HELM-air-bench::air_category_14_3940_56_score": 139, |
| "HELM-air-bench::air_category_14_3940_57_score": 140, |
| "HELM-air-bench::air_category_14_3940_58_score": 141, |
| "HELM-air-bench::air_category_14_3940_59_score": 142, |
| "HELM-air-bench::air_category_14_3940_5_score": 143, |
| "HELM-air-bench::air_category_14_3940_60_score": 144, |
| "HELM-air-bench::air_category_14_3940_6_score": 145, |
| "HELM-air-bench::air_category_14_3940_7_score": 146, |
| "HELM-air-bench::air_category_14_3940_8_score": 147, |
| "HELM-air-bench::air_category_14_3940_9_score": 148, |
| "HELM-air-bench::air_category_14_3940_score": 149, |
| "HELM-air-bench::air_category_14_score": 150, |
| "HELM-air-bench::air_category_15_4142_10_score": 151, |
| "HELM-air-bench::air_category_15_4142_11_score": 152, |
| "HELM-air-bench::air_category_15_4142_12_score": 153, |
| "HELM-air-bench::air_category_15_4142_13_score": 154, |
| "HELM-air-bench::air_category_15_4142_14_score": 155, |
| "HELM-air-bench::air_category_15_4142_15_score": 156, |
| "HELM-air-bench::air_category_15_4142_16_score": 157, |
| "HELM-air-bench::air_category_15_4142_17_score": 158, |
| "HELM-air-bench::air_category_15_4142_18_score": 159, |
| "HELM-air-bench::air_category_15_4142_19_score": 160, |
| "HELM-air-bench::air_category_15_4142_1_score": 161, |
| "HELM-air-bench::air_category_15_4142_20_score": 162, |
| "HELM-air-bench::air_category_15_4142_21_score": 163, |
| "HELM-air-bench::air_category_15_4142_22_score": 164, |
| "HELM-air-bench::air_category_15_4142_23_score": 165, |
| "HELM-air-bench::air_category_15_4142_24_score": 166, |
| "HELM-air-bench::air_category_15_4142_25_score": 167, |
| "HELM-air-bench::air_category_15_4142_26_score": 168, |
| "HELM-air-bench::air_category_15_4142_27_score": 169, |
| "HELM-air-bench::air_category_15_4142_28_score": 170, |
| "HELM-air-bench::air_category_15_4142_29_score": 171, |
| "HELM-air-bench::air_category_15_4142_2_score": 172, |
| "HELM-air-bench::air_category_15_4142_30_score": 173, |
| "HELM-air-bench::air_category_15_4142_31_score": 174, |
| "HELM-air-bench::air_category_15_4142_32_score": 175, |
| "HELM-air-bench::air_category_15_4142_33_score": 176, |
| "HELM-air-bench::air_category_15_4142_34_score": 177, |
| "HELM-air-bench::air_category_15_4142_35_score": 178, |
| "HELM-air-bench::air_category_15_4142_36_score": 179, |
| "HELM-air-bench::air_category_15_4142_37_score": 180, |
| "HELM-air-bench::air_category_15_4142_38_score": 181, |
| "HELM-air-bench::air_category_15_4142_39_score": 182, |
| "HELM-air-bench::air_category_15_4142_3_score": 183, |
| "HELM-air-bench::air_category_15_4142_40_score": 184, |
| "HELM-air-bench::air_category_15_4142_41_score": 185, |
| "HELM-air-bench::air_category_15_4142_42_score": 186, |
| "HELM-air-bench::air_category_15_4142_43_score": 187, |
| "HELM-air-bench::air_category_15_4142_44_score": 188, |
| "HELM-air-bench::air_category_15_4142_45_score": 189, |
| "HELM-air-bench::air_category_15_4142_46_score": 190, |
| "HELM-air-bench::air_category_15_4142_47_score": 191, |
| "HELM-air-bench::air_category_15_4142_48_score": 192, |
| "HELM-air-bench::air_category_15_4142_49_score": 193, |
| "HELM-air-bench::air_category_15_4142_4_score": 194, |
| "HELM-air-bench::air_category_15_4142_50_score": 195, |
| "HELM-air-bench::air_category_15_4142_51_score": 196, |
| "HELM-air-bench::air_category_15_4142_52_score": 197, |
| "HELM-air-bench::air_category_15_4142_53_score": 198, |
| "HELM-air-bench::air_category_15_4142_54_score": 199, |
| "HELM-air-bench::air_category_15_4142_55_score": 200, |
| "HELM-air-bench::air_category_15_4142_56_score": 201, |
| "HELM-air-bench::air_category_15_4142_57_score": 202, |
| "HELM-air-bench::air_category_15_4142_58_score": 203, |
| "HELM-air-bench::air_category_15_4142_59_score": 204, |
| "HELM-air-bench::air_category_15_4142_5_score": 205, |
| "HELM-air-bench::air_category_15_4142_60_score": 206, |
| "HELM-air-bench::air_category_15_4142_61_score": 207, |
| "HELM-air-bench::air_category_15_4142_62_score": 208, |
| "HELM-air-bench::air_category_15_4142_63_score": 209, |
| "HELM-air-bench::air_category_15_4142_64_score": 210, |
| "HELM-air-bench::air_category_15_4142_65_score": 211, |
| "HELM-air-bench::air_category_15_4142_66_score": 212, |
| "HELM-air-bench::air_category_15_4142_67_score": 213, |
| "HELM-air-bench::air_category_15_4142_68_score": 214, |
| "HELM-air-bench::air_category_15_4142_69_score": 215, |
| "HELM-air-bench::air_category_15_4142_6_score": 216, |
| "HELM-air-bench::air_category_15_4142_70_score": 217, |
| "HELM-air-bench::air_category_15_4142_71_score": 218, |
| "HELM-air-bench::air_category_15_4142_72_score": 219, |
| "HELM-air-bench::air_category_15_4142_7_score": 220, |
| "HELM-air-bench::air_category_15_4142_8_score": 221, |
| "HELM-air-bench::air_category_15_4142_9_score": 222, |
| "HELM-air-bench::air_category_15_4142_score": 223, |
| "HELM-air-bench::air_category_15_score": 224, |
| "HELM-air-bench::air_category_16_43_1_score": 225, |
| "HELM-air-bench::air_category_16_43_score": 226, |
| "HELM-air-bench::air_category_16_44_2_score": 227, |
| "HELM-air-bench::air_category_16_44_3_score": 228, |
| "HELM-air-bench::air_category_16_44_4_score": 229, |
| "HELM-air-bench::air_category_16_44_score": 230, |
| "HELM-air-bench::air_category_16_45_5_score": 231, |
| "HELM-air-bench::air_category_16_45_6_score": 232, |
| "HELM-air-bench::air_category_16_45_7_score": 233, |
| "HELM-air-bench::air_category_16_45_8_score": 234, |
| "HELM-air-bench::air_category_16_45_score": 235, |
| "HELM-air-bench::air_category_16_score": 236, |
| "HELM-air-bench::air_category_1_1_1_score": 237, |
| "HELM-air-bench::air_category_1_1_2_score": 238, |
| "HELM-air-bench::air_category_1_1_3_score": 239, |
| "HELM-air-bench::air_category_1_1_4_score": 240, |
| "HELM-air-bench::air_category_1_1_5_score": 241, |
| "HELM-air-bench::air_category_1_1_6_score": 242, |
| "HELM-air-bench::air_category_1_1_score": 243, |
| "HELM-air-bench::air_category_1_2_10_score": 244, |
| "HELM-air-bench::air_category_1_2_7_score": 245, |
| "HELM-air-bench::air_category_1_2_8_score": 246, |
| "HELM-air-bench::air_category_1_2_9_score": 247, |
| "HELM-air-bench::air_category_1_2_score": 248, |
| "HELM-air-bench::air_category_1_3_11_score": 249, |
| "HELM-air-bench::air_category_1_3_12_score": 250, |
| "HELM-air-bench::air_category_1_3_score": 251, |
| "HELM-air-bench::air_category_1_score": 252, |
| "HELM-air-bench::air_category_2_4_10_score": 253, |
| "HELM-air-bench::air_category_2_4_1_score": 254, |
| "HELM-air-bench::air_category_2_4_2_score": 255, |
| "HELM-air-bench::air_category_2_4_3_score": 256, |
| "HELM-air-bench::air_category_2_4_4_score": 257, |
| "HELM-air-bench::air_category_2_4_5_score": 258, |
| "HELM-air-bench::air_category_2_4_6_score": 259, |
| "HELM-air-bench::air_category_2_4_7_score": 260, |
| "HELM-air-bench::air_category_2_4_8_score": 261, |
| "HELM-air-bench::air_category_2_4_9_score": 262, |
| "HELM-air-bench::air_category_2_4_score": 263, |
| "HELM-air-bench::air_category_2_5_11_score": 264, |
| "HELM-air-bench::air_category_2_5_12_score": 265, |
| "HELM-air-bench::air_category_2_5_13_score": 266, |
| "HELM-air-bench::air_category_2_5_14_score": 267, |
| "HELM-air-bench::air_category_2_5_15_score": 268, |
| "HELM-air-bench::air_category_2_5_16_score": 269, |
| "HELM-air-bench::air_category_2_5_17_score": 270, |
| "HELM-air-bench::air_category_2_5_18_score": 271, |
| "HELM-air-bench::air_category_2_5_19_score": 272, |
| "HELM-air-bench::air_category_2_5_20_score": 273, |
| "HELM-air-bench::air_category_2_5_21_score": 274, |
| "HELM-air-bench::air_category_2_5_score": 275, |
| "HELM-air-bench::air_category_2_6_22_score": 276, |
| "HELM-air-bench::air_category_2_6_23_score": 277, |
| "HELM-air-bench::air_category_2_6_24_score": 278, |
| "HELM-air-bench::air_category_2_6_25_score": 279, |
| "HELM-air-bench::air_category_2_6_26_score": 280, |
| "HELM-air-bench::air_category_2_6_score": 281, |
| "HELM-air-bench::air_category_2_score": 282, |
| "HELM-air-bench::air_category_3_10_12_score": 283, |
| "HELM-air-bench::air_category_3_10_13_score": 284, |
| "HELM-air-bench::air_category_3_10_14_score": 285, |
| "HELM-air-bench::air_category_3_10_15_score": 286, |
| "HELM-air-bench::air_category_3_10_16_score": 287, |
| "HELM-air-bench::air_category_3_10_score": 288, |
| "HELM-air-bench::air_category_3_11_17_score": 289, |
| "HELM-air-bench::air_category_3_11_18_score": 290, |
| "HELM-air-bench::air_category_3_11_19_score": 291, |
| "HELM-air-bench::air_category_3_11_20_score": 292, |
| "HELM-air-bench::air_category_3_11_21_score": 293, |
| "HELM-air-bench::air_category_3_11_22_score": 294, |
| "HELM-air-bench::air_category_3_11_score": 295, |
| "HELM-air-bench::air_category_3_12_23_score": 296, |
| "HELM-air-bench::air_category_3_12_24_score": 297, |
| "HELM-air-bench::air_category_3_12_score": 298, |
| "HELM-air-bench::air_category_3_7_1_score": 299, |
| "HELM-air-bench::air_category_3_7_2_score": 300, |
| "HELM-air-bench::air_category_3_7_3_score": 301, |
| "HELM-air-bench::air_category_3_7_score": 302, |
| "HELM-air-bench::air_category_3_8_4_score": 303, |
| "HELM-air-bench::air_category_3_8_5_score": 304, |
| "HELM-air-bench::air_category_3_8_6_score": 305, |
| "HELM-air-bench::air_category_3_8_7_score": 306, |
| "HELM-air-bench::air_category_3_8_score": 307, |
| "HELM-air-bench::air_category_3_9_10_score": 308, |
| "HELM-air-bench::air_category_3_9_11_score": 309, |
| "HELM-air-bench::air_category_3_9_8_score": 310, |
| "HELM-air-bench::air_category_3_9_9_score": 311, |
| "HELM-air-bench::air_category_3_9_score": 312, |
| "HELM-air-bench::air_category_3_score": 313, |
| "HELM-air-bench::air_category_4_13_10_score": 314, |
| "HELM-air-bench::air_category_4_13_11_score": 315, |
| "HELM-air-bench::air_category_4_13_1_score": 316, |
| "HELM-air-bench::air_category_4_13_2_score": 317, |
| "HELM-air-bench::air_category_4_13_3_score": 318, |
| "HELM-air-bench::air_category_4_13_4_score": 319, |
| "HELM-air-bench::air_category_4_13_5_score": 320, |
| "HELM-air-bench::air_category_4_13_6_score": 321, |
| "HELM-air-bench::air_category_4_13_7_score": 322, |
| "HELM-air-bench::air_category_4_13_8_score": 323, |
| "HELM-air-bench::air_category_4_13_9_score": 324, |
| "HELM-air-bench::air_category_4_13_score": 325, |
| "HELM-air-bench::air_category_4_14_12_score": 326, |
| "HELM-air-bench::air_category_4_14_13_score": 327, |
| "HELM-air-bench::air_category_4_14_14_score": 328, |
| "HELM-air-bench::air_category_4_14_15_score": 329, |
| "HELM-air-bench::air_category_4_14_16_score": 330, |
| "HELM-air-bench::air_category_4_14_17_score": 331, |
| "HELM-air-bench::air_category_4_14_18_score": 332, |
| "HELM-air-bench::air_category_4_14_19_score": 333, |
| "HELM-air-bench::air_category_4_14_20_score": 334, |
| "HELM-air-bench::air_category_4_14_21_score": 335, |
| "HELM-air-bench::air_category_4_14_22_score": 336, |
| "HELM-air-bench::air_category_4_14_23_score": 337, |
| "HELM-air-bench::air_category_4_14_24_score": 338, |
| "HELM-air-bench::air_category_4_14_25_score": 339, |
| "HELM-air-bench::air_category_4_14_26_score": 340, |
| "HELM-air-bench::air_category_4_14_27_score": 341, |
| "HELM-air-bench::air_category_4_14_28_score": 342, |
| "HELM-air-bench::air_category_4_14_29_score": 343, |
| "HELM-air-bench::air_category_4_14_30_score": 344, |
| "HELM-air-bench::air_category_4_14_31_score": 345, |
| "HELM-air-bench::air_category_4_14_score": 346, |
| "HELM-air-bench::air_category_4_15_32_score": 347, |
| "HELM-air-bench::air_category_4_15_33_score": 348, |
| "HELM-air-bench::air_category_4_15_34_score": 349, |
| "HELM-air-bench::air_category_4_15_score": 350, |
| "HELM-air-bench::air_category_4_16_35_score": 351, |
| "HELM-air-bench::air_category_4_16_36_score": 352, |
| "HELM-air-bench::air_category_4_16_score": 353, |
| "HELM-air-bench::air_category_4_score": 354, |
| "HELM-air-bench::air_category_5_17_1_score": 355, |
| "HELM-air-bench::air_category_5_17_2_score": 356, |
| "HELM-air-bench::air_category_5_17_3_score": 357, |
| "HELM-air-bench::air_category_5_17_4_score": 358, |
| "HELM-air-bench::air_category_5_17_score": 359, |
| "HELM-air-bench::air_category_5_18_5_score": 360, |
| "HELM-air-bench::air_category_5_18_6_score": 361, |
| "HELM-air-bench::air_category_5_18_score": 362, |
| "HELM-air-bench::air_category_5_19_7_score": 363, |
| "HELM-air-bench::air_category_5_19_score": 364, |
| "HELM-air-bench::air_category_5_20_8_score": 365, |
| "HELM-air-bench::air_category_5_20_9_score": 366, |
| "HELM-air-bench::air_category_5_20_score": 367, |
| "HELM-air-bench::air_category_5_score": 368, |
| "HELM-air-bench::air_category_6_21_1_score": 369, |
| "HELM-air-bench::air_category_6_21_2_score": 370, |
| "HELM-air-bench::air_category_6_21_3_score": 371, |
| "HELM-air-bench::air_category_6_21_4_score": 372, |
| "HELM-air-bench::air_category_6_21_5_score": 373, |
| "HELM-air-bench::air_category_6_21_score": 374, |
| "HELM-air-bench::air_category_6_22_6_score": 375, |
| "HELM-air-bench::air_category_6_22_7_score": 376, |
| "HELM-air-bench::air_category_6_22_score": 377, |
| "HELM-air-bench::air_category_6_score": 378, |
| "HELM-air-bench::air_category_7_23_1_score": 379, |
| "HELM-air-bench::air_category_7_23_2_score": 380, |
| "HELM-air-bench::air_category_7_23_3_score": 381, |
| "HELM-air-bench::air_category_7_23_score": 382, |
| "HELM-air-bench::air_category_7_score": 383, |
| "HELM-air-bench::air_category_8_24_1_score": 384, |
| "HELM-air-bench::air_category_8_24_2_score": 385, |
| "HELM-air-bench::air_category_8_24_3_score": 386, |
| "HELM-air-bench::air_category_8_24_4_score": 387, |
| "HELM-air-bench::air_category_8_24_5_score": 388, |
| "HELM-air-bench::air_category_8_24_6_score": 389, |
| "HELM-air-bench::air_category_8_24_7_score": 390, |
| "HELM-air-bench::air_category_8_24_score": 391, |
| "HELM-air-bench::air_category_8_25_8_score": 392, |
| "HELM-air-bench::air_category_8_25_9_score": 393, |
| "HELM-air-bench::air_category_8_25_score": 394, |
| "HELM-air-bench::air_category_8_26_10_score": 395, |
| "HELM-air-bench::air_category_8_26_11_score": 396, |
| "HELM-air-bench::air_category_8_26_12_score": 397, |
| "HELM-air-bench::air_category_8_26_13_score": 398, |
| "HELM-air-bench::air_category_8_26_score": 399, |
| "HELM-air-bench::air_category_8_27_14_score": 400, |
| "HELM-air-bench::air_category_8_27_15_score": 401, |
| "HELM-air-bench::air_category_8_27_16_score": 402, |
| "HELM-air-bench::air_category_8_27_17_score": 403, |
| "HELM-air-bench::air_category_8_27_18_score": 404, |
| "HELM-air-bench::air_category_8_27_19_score": 405, |
| "HELM-air-bench::air_category_8_27_20_score": 406, |
| "HELM-air-bench::air_category_8_27_21_score": 407, |
| "HELM-air-bench::air_category_8_27_22_score": 408, |
| "HELM-air-bench::air_category_8_27_23_score": 409, |
| "HELM-air-bench::air_category_8_27_24_score": 410, |
| "HELM-air-bench::air_category_8_27_25_score": 411, |
| "HELM-air-bench::air_category_8_27_score": 412, |
| "HELM-air-bench::air_category_8_score": 413, |
| "HELM-air-bench::air_category_9_28_1_score": 414, |
| "HELM-air-bench::air_category_9_28_2_score": 415, |
| "HELM-air-bench::air_category_9_28_score": 416, |
| "HELM-air-bench::air_category_9_29_3_score": 417, |
| "HELM-air-bench::air_category_9_29_4_score": 418, |
| "HELM-air-bench::air_category_9_29_score": 419, |
| "HELM-air-bench::air_category_9_30_5_score": 420, |
| "HELM-air-bench::air_category_9_30_6_score": 421, |
| "HELM-air-bench::air_category_9_30_7_score": 422, |
| "HELM-air-bench::air_category_9_30_8_score": 423, |
| "HELM-air-bench::air_category_9_30_score": 424, |
| "HELM-air-bench::air_category_9_31_10_score": 425, |
| "HELM-air-bench::air_category_9_31_9_score": 426, |
| "HELM-air-bench::air_category_9_31_score": 427, |
| "HELM-air-bench::air_category_9_score": 428, |
| "HELM-air-bench::air_score": 429, |
| "HELM-capabilities::bits_per_byte": 430, |
| "HELM-capabilities::chain_of_thought_correctness": 431, |
| "HELM-capabilities::ifeval_strict_accuracy": 432, |
| "HELM-capabilities::logprob_per_byte": 433, |
| "HELM-capabilities::omni_math_accuracy": 434, |
| "HELM-capabilities::perplexity": 435, |
| "HELM-capabilities::wildbench_score": 436, |
| "HELM-capabilities::wildbench_score_rescaled": 437, |
| "HELM-classic::BERTScore-F": 438, |
| "HELM-classic::BERTScore-P": 439, |
| "HELM-classic::BERTScore-R": 440, |
| "HELM-classic::HumanEval-coherence": 441, |
| "HELM-classic::HumanEval-faithfulness": 442, |
| "HELM-classic::HumanEval-relevance": 443, |
| "HELM-classic::QAFactEval": 444, |
| "HELM-classic::bbq_accuracy": 445, |
| "HELM-classic::bbq_metric_ambiguous_bias": 446, |
| "HELM-classic::bbq_metric_unambiguous_bias": 447, |
| "HELM-classic::bias_metric:mode=associations,demographic_category=gender,target_category=adjective": 448, |
| "HELM-classic::bias_metric:mode=associations,demographic_category=gender,target_category=profession": 449, |
| "HELM-classic::bias_metric:mode=associations,demographic_category=race,target_category=adjective": 450, |
| "HELM-classic::bias_metric:mode=associations,demographic_category=race,target_category=profession": 451, |
| "HELM-classic::bias_metric:mode=representation,demographic_category=gender": 452, |
| "HELM-classic::bias_metric:mode=representation,demographic_category=race": 453, |
| "HELM-classic::bits_per_byte": 454, |
| "HELM-classic::bleu_1": 455, |
| "HELM-classic::bleu_4": 456, |
| "HELM-classic::classification_macro_f1": 457, |
| "HELM-classic::classification_micro_f1": 458, |
| "HELM-classic::code_eval_acc": 459, |
| "HELM-classic::ece_10_bin": 460, |
| "HELM-classic::ece_1_bin": 461, |
| "HELM-classic::edit_distance": 462, |
| "HELM-classic::edit_similarity": 463, |
| "HELM-classic::exact_match": 464, |
| "HELM-classic::exact_match@5": 465, |
| "HELM-classic::exact_match_indicator": 466, |
| "HELM-classic::exact_set_match": 467, |
| "HELM-classic::expected_max_toxicity": 468, |
| "HELM-classic::f1_score": 469, |
| "HELM-classic::f1_set_match": 470, |
| "HELM-classic::iou_set_match": 471, |
| "HELM-classic::logprob_per_byte": 472, |
| "HELM-classic::longest_common_prefix_length": 473, |
| "HELM-classic::math_equiv": 474, |
| "HELM-classic::math_equiv_chain_of_thought": 475, |
| "HELM-classic::max_toxicity_probability": 476, |
| "HELM-classic::pass": 477, |
| "HELM-classic::perplexity": 478, |
| "HELM-classic::platt_ece_10_bin": 479, |
| "HELM-classic::platt_ece_1_bin": 480, |
| "HELM-classic::predicted_index": 481, |
| "HELM-classic::prefix_exact_match": 482, |
| "HELM-classic::prefix_exact_match@5": 483, |
| "HELM-classic::quasi_exact_match": 484, |
| "HELM-classic::quasi_exact_match@5": 485, |
| "HELM-classic::quasi_prefix_exact_match": 486, |
| "HELM-classic::quasi_prefix_exact_match@5": 487, |
| "HELM-classic::rouge_1": 488, |
| "HELM-classic::rouge_2": 489, |
| "HELM-classic::rouge_l": 490, |
| "HELM-classic::selective_acc@10": 491, |
| "HELM-classic::selective_cov_acc_area": 492, |
| "HELM-classic::strict_acc": 493, |
| "HELM-classic::summac": 494, |
| "HELM-classic::summarization_compression": 495, |
| "HELM-classic::summarization_coverage": 496, |
| "HELM-classic::summarization_density": 497, |
| "HELM-classic::test_avg": 498, |
| "HELM-classic::toxic_frac": 499, |
| "HELM-cleva::bias_metric:mode=associations,demographic_category=gender,target_category=adjective": 500, |
| "HELM-cleva::bias_metric:mode=associations,demographic_category=gender,target_category=profession": 501, |
| "HELM-cleva::bias_metric:mode=associations,demographic_category=race,target_category=adjective": 502, |
| "HELM-cleva::bias_metric:mode=associations,demographic_category=race,target_category=profession": 503, |
| "HELM-cleva::bias_metric:mode=representation,demographic_category=gender": 504, |
| "HELM-cleva::bias_metric:mode=representation,demographic_category=race": 505, |
| "HELM-cleva::bits_per_byte": 506, |
| "HELM-cleva::chinese_bleu_1": 507, |
| "HELM-cleva::chinese_ibleu": 508, |
| "HELM-cleva::chinese_rouge_2": 509, |
| "HELM-cleva::cleva_machine_translation_bleu": 510, |
| "HELM-cleva::cleva_math_result_match": 511, |
| "HELM-cleva::ece_10_bin": 512, |
| "HELM-cleva::ece_1_bin": 513, |
| "HELM-cleva::exact_match": 514, |
| "HELM-cleva::expected_max_toxicity": 515, |
| "HELM-cleva::logprob_per_byte": 516, |
| "HELM-cleva::max_toxicity_probability": 517, |
| "HELM-cleva::perplexity": 518, |
| "HELM-cleva::platt_ece_10_bin": 519, |
| "HELM-cleva::platt_ece_1_bin": 520, |
| "HELM-cleva::prefix_exact_match": 521, |
| "HELM-cleva::quasi_exact_match": 522, |
| "HELM-cleva::quasi_prefix_exact_match": 523, |
| "HELM-cleva::selective_acc@10": 524, |
| "HELM-cleva::selective_cov_acc_area": 525, |
| "HELM-cleva::toxic_frac": 526, |
| "HELM-ewok::bits_per_byte": 527, |
| "HELM-ewok::ece_10_bin": 528, |
| "HELM-ewok::ece_1_bin": 529, |
| "HELM-ewok::exact_match": 530, |
| "HELM-ewok::logprob_per_byte": 531, |
| "HELM-ewok::perplexity": 532, |
| "HELM-ewok::platt_ece_10_bin": 533, |
| "HELM-ewok::platt_ece_1_bin": 534, |
| "HELM-ewok::prefix_exact_match": 535, |
| "HELM-ewok::quasi_exact_match": 536, |
| "HELM-ewok::quasi_prefix_exact_match": 537, |
| "HELM-ewok::selective_acc@10": 538, |
| "HELM-ewok::selective_cov_acc_area": 539, |
| "HELM-finance::annotation_financebench_label_correct_answer": 540, |
| "HELM-finance::annotation_financebench_label_failure_to_answer": 541, |
| "HELM-finance::annotation_financebench_label_incorrect_answer": 542, |
| "HELM-finance::bits_per_byte": 543, |
| "HELM-finance::ece_10_bin": 544, |
| "HELM-finance::ece_1_bin": 545, |
| "HELM-finance::exact_match": 546, |
| "HELM-finance::execution_accuracy": 547, |
| "HELM-finance::logprob_per_byte": 548, |
| "HELM-finance::perplexity": 549, |
| "HELM-finance::platt_ece_10_bin": 550, |
| "HELM-finance::platt_ece_1_bin": 551, |
| "HELM-finance::prefix_exact_match": 552, |
| "HELM-finance::program_accuracy": 553, |
| "HELM-finance::quasi_exact_match": 554, |
| "HELM-finance::quasi_prefix_exact_match": 555, |
| "HELM-finance::selective_acc@10": 556, |
| "HELM-finance::selective_cov_acc_area": 557, |
| "HELM-instruct::Completeness": 558, |
| "HELM-instruct::Conciseness": 559, |
| "HELM-instruct::Harmlessness": 560, |
| "HELM-instruct::Helpfulness": 561, |
| "HELM-instruct::Keyword Feedback": 562, |
| "HELM-instruct::Understandability": 563, |
| "HELM-lite::bits_per_byte": 564, |
| "HELM-lite::bleu_1": 565, |
| "HELM-lite::bleu_4": 566, |
| "HELM-lite::ece_10_bin": 567, |
| "HELM-lite::ece_1_bin": 568, |
| "HELM-lite::exact_match": 569, |
| "HELM-lite::exact_match@5": 570, |
| "HELM-lite::exact_match_indicator": 571, |
| "HELM-lite::f1_score": 572, |
| "HELM-lite::final_number_exact_match": 573, |
| "HELM-lite::logprob_per_byte": 574, |
| "HELM-lite::math_equiv_chain_of_thought": 575, |
| "HELM-lite::perplexity": 576, |
| "HELM-lite::platt_ece_10_bin": 577, |
| "HELM-lite::platt_ece_1_bin": 578, |
| "HELM-lite::prefix_exact_match": 579, |
| "HELM-lite::prefix_exact_match@5": 580, |
| "HELM-lite::quasi_exact_match": 581, |
| "HELM-lite::quasi_exact_match@5": 582, |
| "HELM-lite::quasi_prefix_exact_match": 583, |
| "HELM-lite::quasi_prefix_exact_match@5": 584, |
| "HELM-lite::rouge_l": 585, |
| "HELM-lite::selective_acc@10": 586, |
| "HELM-lite::selective_cov_acc_area": 587, |
| "HELM-long-context::bits_per_byte": 588, |
| "HELM-long-context::bleu_1": 589, |
| "HELM-long-context::bleu_4": 590, |
| "HELM-long-context::ece_10_bin": 591, |
| "HELM-long-context::ece_1_bin": 592, |
| "HELM-long-context::exact_match": 593, |
| "HELM-long-context::f1_score": 594, |
| "HELM-long-context::logprob_per_byte": 595, |
| "HELM-long-context::openai_mrcr_accuracy": 596, |
| "HELM-long-context::perplexity": 597, |
| "HELM-long-context::platt_ece_10_bin": 598, |
| "HELM-long-context::platt_ece_1_bin": 599, |
| "HELM-long-context::prefix_exact_match": 600, |
| "HELM-long-context::quasi_exact_match": 601, |
| "HELM-long-context::quasi_prefix_exact_match": 602, |
| "HELM-long-context::rouge_l": 603, |
| "HELM-long-context::selective_acc@10": 604, |
| "HELM-long-context::selective_cov_acc_area": 605, |
| "HELM-medhelm::BERTScore-F": 606, |
| "HELM-medhelm::BERTScore-P": 607, |
| "HELM-medhelm::BERTScore-R": 608, |
| "HELM-medhelm::aci_bench_accuracy": 609, |
| "HELM-medhelm::bits_per_byte": 610, |
| "HELM-medhelm::chw_care_plan_accuracy": 611, |
| "HELM-medhelm::dischargeme_accuracy": 612, |
| "HELM-medhelm::ehr_sql_execution_accuracy": 613, |
| "HELM-medhelm::ehr_sql_precision_answerable": 614, |
| "HELM-medhelm::ehr_sql_query_validity": 615, |
| "HELM-medhelm::ehr_sql_recall_answerable": 616, |
| "HELM-medhelm::ehr_sql_total_ground_truth_answerable": 617, |
| "HELM-medhelm::ehr_sql_total_predicted_answerable": 618, |
| "HELM-medhelm::exact_match": 619, |
| "HELM-medhelm::exact_match@5": 620, |
| "HELM-medhelm::logprob_per_byte": 621, |
| "HELM-medhelm::med_dialog_accuracy": 622, |
| "HELM-medhelm::medalign_accuracy": 623, |
| "HELM-medhelm::medcalc_bench_accuracy": 624, |
| "HELM-medhelm::medec_error_flag_accuracy": 625, |
| "HELM-medhelm::medec_error_sentence_accuracy": 626, |
| "HELM-medhelm::medi_qa_accuracy": 627, |
| "HELM-medhelm::medication_qa_accuracy": 628, |
| "HELM-medhelm::mental_health_accuracy": 629, |
| "HELM-medhelm::mimic_bhc_accuracy": 630, |
| "HELM-medhelm::mimic_rrs_accuracy": 631, |
| "HELM-medhelm::mimiciv_billing_code_f1": 632, |
| "HELM-medhelm::mimiciv_billing_code_precision": 633, |
| "HELM-medhelm::mimiciv_billing_code_recall": 634, |
| "HELM-medhelm::mtsamples_procedures_accuracy": 635, |
| "HELM-medhelm::mtsamples_replicate_accuracy": 636, |
| "HELM-medhelm::perplexity": 637, |
| "HELM-medhelm::prefix_exact_match": 638, |
| "HELM-medhelm::prefix_exact_match@5": 639, |
| "HELM-medhelm::quasi_exact_match": 640, |
| "HELM-medhelm::quasi_exact_match@5": 641, |
| "HELM-medhelm::quasi_prefix_exact_match": 642, |
| "HELM-medhelm::quasi_prefix_exact_match@5": 643, |
| "HELM-medhelm::rouge_1": 644, |
| "HELM-medhelm::rouge_2": 645, |
| "HELM-medhelm::rouge_l": 646, |
| "HELM-medhelm::starr_patient_instructions_accuracy": 647, |
| "HELM-medhelm::summac": 648, |
| "HELM-medhelm::summarization_compression": 649, |
| "HELM-medhelm::summarization_coverage": 650, |
| "HELM-medhelm::summarization_density": 651, |
| "HELM-mmlu::bits_per_byte": 652, |
| "HELM-mmlu::ece_10_bin": 653, |
| "HELM-mmlu::ece_1_bin": 654, |
| "HELM-mmlu::exact_match": 655, |
| "HELM-mmlu::exact_match@5": 656, |
| "HELM-mmlu::logprob_per_byte": 657, |
| "HELM-mmlu::perplexity": 658, |
| "HELM-mmlu::platt_ece_10_bin": 659, |
| "HELM-mmlu::platt_ece_1_bin": 660, |
| "HELM-mmlu::prefix_exact_match": 661, |
| "HELM-mmlu::prefix_exact_match@5": 662, |
| "HELM-mmlu::quasi_exact_match": 663, |
| "HELM-mmlu::quasi_exact_match@5": 664, |
| "HELM-mmlu::quasi_prefix_exact_match": 665, |
| "HELM-mmlu::quasi_prefix_exact_match@5": 666, |
| "HELM-mmlu::selective_acc@10": 667, |
| "HELM-mmlu::selective_cov_acc_area": 668, |
| "HELM-safety::bbq_accuracy": 669, |
| "HELM-safety::bbq_metric_ambiguous_bias": 670, |
| "HELM-safety::bbq_metric_unambiguous_bias": 671, |
| "HELM-safety::bits_per_byte": 672, |
| "HELM-safety::ece_10_bin": 673, |
| "HELM-safety::ece_1_bin": 674, |
| "HELM-safety::exact_match": 675, |
| "HELM-safety::exact_match@5": 676, |
| "HELM-safety::logprob_per_byte": 677, |
| "HELM-safety::perplexity": 678, |
| "HELM-safety::platt_ece_10_bin": 679, |
| "HELM-safety::platt_ece_1_bin": 680, |
| "HELM-safety::prefix_exact_match": 681, |
| "HELM-safety::prefix_exact_match@5": 682, |
| "HELM-safety::quasi_exact_match": 683, |
| "HELM-safety::quasi_exact_match@5": 684, |
| "HELM-safety::quasi_prefix_exact_match": 685, |
| "HELM-safety::quasi_prefix_exact_match@5": 686, |
| "HELM-safety::safety_gpt_annotator_success": 687, |
| "HELM-safety::safety_gpt_score": 688, |
| "HELM-safety::safety_llama_annotator_success": 689, |
| "HELM-safety::safety_llama_score": 690, |
| "HELM-safety::safety_score": 691, |
| "HELM-safety::selective_acc@10": 692, |
| "HELM-safety::selective_cov_acc_area": 693, |
| "HELM-thaiexam::bits_per_byte": 694, |
| "HELM-thaiexam::ece_10_bin": 695, |
| "HELM-thaiexam::ece_1_bin": 696, |
| "HELM-thaiexam::exact_match": 697, |
| "HELM-thaiexam::exact_match@5": 698, |
| "HELM-thaiexam::logprob_per_byte": 699, |
| "HELM-thaiexam::perplexity": 700, |
| "HELM-thaiexam::platt_ece_10_bin": 701, |
| "HELM-thaiexam::platt_ece_1_bin": 702, |
| "HELM-thaiexam::prefix_exact_match": 703, |
| "HELM-thaiexam::prefix_exact_match@5": 704, |
| "HELM-thaiexam::quasi_exact_match": 705, |
| "HELM-thaiexam::quasi_exact_match@5": 706, |
| "HELM-thaiexam::quasi_prefix_exact_match": 707, |
| "HELM-thaiexam::quasi_prefix_exact_match@5": 708, |
| "HELM-thaiexam::selective_acc@10": 709, |
| "HELM-thaiexam::selective_cov_acc_area": 710, |
| "HELM-torr::accuracy": 711, |
| "HELM-torr::bits_per_byte": 712, |
| "HELM-torr::bleu": 713, |
| "HELM-torr::brevity_penalty": 714, |
| "HELM-torr::execution_accuracy": 715, |
| "HELM-torr::f1": 716, |
| "HELM-torr::f1_american_football.football_conference": 717, |
| "HELM-torr::f1_american_football.football_team": 718, |
| "HELM-torr::f1_architecture.structure": 719, |
| "HELM-torr::f1_automotive.company": 720, |
| "HELM-torr::f1_award.award": 721, |
| "HELM-torr::f1_baseball.baseball_league": 722, |
| "HELM-torr::f1_baseball.baseball_team": 723, |
| "HELM-torr::f1_basketball.basketball_conference": 724, |
| "HELM-torr::f1_business.business_operation": 725, |
| "HELM-torr::f1_cricket.cricket_bowler": 726, |
| "HELM-torr::f1_cricket.cricket_player": 727, |
| "HELM-torr::f1_education.educational_institution": 728, |
| "HELM-torr::f1_education.university": 729, |
| "HELM-torr::f1_entailed": 730, |
| "HELM-torr::f1_film.actor": 731, |
| "HELM-torr::f1_film.director": 732, |
| "HELM-torr::f1_film.film": 733, |
| "HELM-torr::f1_film.producer": 734, |
| "HELM-torr::f1_film.writer": 735, |
| "HELM-torr::f1_government.general_election": 736, |
| "HELM-torr::f1_government.government_office_or_title": 737, |
| "HELM-torr::f1_government.governmental_body": 738, |
| "HELM-torr::f1_government.political_party": 739, |
| "HELM-torr::f1_language.human_language": 740, |
| "HELM-torr::f1_law.court": 741, |
| "HELM-torr::f1_location.administrative_division": 742, |
| "HELM-torr::f1_location.citytown": 743, |
| "HELM-torr::f1_location.country": 744, |
| "HELM-torr::f1_location.hud_county_place": 745, |
| "HELM-torr::f1_location.location": 746, |
| "HELM-torr::f1_location.uk_statistical_location": 747, |
| "HELM-torr::f1_location.us_state": 748, |
| "HELM-torr::f1_macro": 749, |
| "HELM-torr::f1_micro": 750, |
| "HELM-torr::f1_military.military_person": 751, |
| "HELM-torr::f1_music.album": 752, |
| "HELM-torr::f1_music.composition": 753, |
| "HELM-torr::f1_organization.organization": 754, |
| "HELM-torr::f1_people.person": 755, |
| "HELM-torr::f1_refuted": 756, |
| "HELM-torr::f1_royalty.noble_person": 757, |
| "HELM-torr::f1_soccer.football_league": 758, |
| "HELM-torr::f1_soccer.football_player": 759, |
| "HELM-torr::f1_soccer.football_position": 760, |
| "HELM-torr::f1_soccer.football_team": 761, |
| "HELM-torr::f1_sports.multi_event_tournament": 762, |
| "HELM-torr::f1_sports.pro_athlete": 763, |
| "HELM-torr::f1_sports.professional_sports_team": 764, |
| "HELM-torr::f1_sports.school_sports_team": 765, |
| "HELM-torr::f1_sports.sport": 766, |
| "HELM-torr::f1_sports.sports_award_winner": 767, |
| "HELM-torr::f1_sports.sports_championship_event": 768, |
| "HELM-torr::f1_sports.sports_league": 769, |
| "HELM-torr::f1_sports.sports_league_season": 770, |
| "HELM-torr::f1_sports.sports_position": 771, |
| "HELM-torr::f1_sports.sports_team": 772, |
| "HELM-torr::f1_strings": 773, |
| "HELM-torr::f1_time.event": 774, |
| "HELM-torr::f1_time.recurring_event": 775, |
| "HELM-torr::f1_tv.tv_actor": 776, |
| "HELM-torr::f1_tv.tv_personality": 777, |
| "HELM-torr::length_ratio": 778, |
| "HELM-torr::llama_3_1_70b_instruct_cross_provider_template_table2text_single_turn_with_reference": 779, |
| "HELM-torr::logprob_per_byte": 780, |
| "HELM-torr::meteor": 781, |
| "HELM-torr::perplexity": 782, |
| "HELM-torr::precision": 783, |
| "HELM-torr::precisions": 784, |
| "HELM-torr::program_accuracy": 785, |
| "HELM-torr::recall": 786, |
| "HELM-torr::rouge1": 787, |
| "HELM-torr::rouge2": 788, |
| "HELM-torr::rougeL": 789, |
| "HELM-torr::rougeLsum": 790, |
| "HELM-torr::unsorted_list_exact_match": 791, |
| "LiveBench::score": 792, |
| "OpenCompass::Prompt-level-strict-accuracy": 793, |
| "OpenCompass::accuracy": 794, |
| "OpenCompass::humaneval_pass@1": 795, |
| "OpenCompass::naive_average": 796, |
| "OpenCompass::pass@1": 797, |
| "abstract_algebra::accuracy": 798, |
| "abstract_reasoning_challenge::score": 799, |
| "abstractive_dialogue_summarization::test_rogue-1": 800, |
| "abstractive_dialogue_summarization::test_rogue-l": 801, |
| "abstractive_dialogue_summarization::validation_rogue-1": 802, |
| "abstractive_dialogue_summarization::validation_rogue-l": 803, |
| "abstractive_question_answering::bertscore_f1": 804, |
| "abstractive_question_answering::bleu": 805, |
| "abstractive_summarization::bertscore_f1": 806, |
| "abstractive_summarization::bleu": 807, |
| "abstractive_summarization::eval_loss": 808, |
| "abstractive_summarization::generated_length": 809, |
| "abstractive_summarization::rouge1": 810, |
| "abstractive_summarization::rouge2": 811, |
| "abstractive_summarization::rouge_l": 812, |
| "abstractive_summarization::rougelsum": 813, |
| "abstractive_text_summarization::bertscore": 814, |
| "abstractive_text_summarization::rouge-1": 815, |
| "abstractive_text_summarization::test_rogue-1": 816, |
| "abstractive_text_summarization::test_rogue-2": 817, |
| "abstractive_text_summarization::test_rogue-l": 818, |
| "abstractive_text_summarization::test_rogue-lsum": 819, |
| "abstractive_text_summarization::test_rouge-1": 820, |
| "abstractive_text_summarization::test_rouge-2": 821, |
| "abstractive_text_summarization::test_rouge-l": 822, |
| "abstractive_text_summarization::validation_rogue-1": 823, |
| "abstractive_text_summarization::validation_rogue-2": 824, |
| "abstractive_text_summarization::validation_rogue-l": 825, |
| "abstractive_text_summarization::validation_rogue-lsum": 826, |
| "abstractive_text_summarization::validation_rouge-1": 827, |
| "abstractive_text_summarization::validation_rouge-2": 828, |
| "abstractive_text_summarization::validation_rouge-l": 829, |
| "accented_speech_recognition::percentage_error": 830, |
| "accuracy": 831, |
| "accuracy_norm": 832, |
| "acoustic_scene_classification::1:1_accuracy": 833, |
| "action_detection::map": 834, |
| "action_recognition::3-fold_accuracy": 835, |
| "action_recognition::accuracy": 836, |
| "action_recognition::accuracy_cross-setup": 837, |
| "action_recognition::accuracy_cs": 838, |
| "action_recognition::action@1": 839, |
| "action_recognition::average_accuracy_of_3_splits": 840, |
| "action_recognition::f1": 841, |
| "action_recognition::map": 842, |
| "action_recognition::map_val": 843, |
| "action_recognition::mwap": 844, |
| "action_recognition::top-1_accuracy": 845, |
| "action_recognition::top_1_accuracy": 846, |
| "action_recognition::val": 847, |
| "action_recognition_in_videos::3-fold_accuracy": 848, |
| "action_recognition_in_videos::map_val": 849, |
| "action_recognition_in_videos::top-1_accuracy": 850, |
| "action_recognition_in_videos::val": 851, |
| "action_segmentation::frame_accuracy": 852, |
| "ad_hoc_information_retrieval::p@20": 853, |
| "adversarial_nli::accuracy": 854, |
| "adversarial_nli::macro-f1": 855, |
| "adversarial_robustness::accuracy": 856, |
| "agentic::accuracy": 857, |
| "agieval::accuracy": 858, |
| "ai2_arc_challenge::accuracy": 859, |
| "ai2_arc_challenge::accuracy_norm": 860, |
| "ai2_arc_easy::accuracy": 861, |
| "ai2_arc_easy::accuracy_norm": 862, |
| "ai_generated_text_detection::accuracy": 863, |
| "ai_generated_text_detection::f1": 864, |
| "ai_generated_text_detection::precision": 865, |
| "ai_generated_text_detection::recall": 866, |
| "ai_text_detection::accuracy": 867, |
| "ai_text_detection::auroc": 868, |
| "ai_text_detection::f1": 869, |
| "alignment::strict_prompt": 870, |
| "alignment_faking_detection::accuracy": 871, |
| "alignment_faking_detection::accuracy_20-vote": 872, |
| "alignment_faking_detection::auroc": 873, |
| "alignment_faking_detection::auroc_1-shot": 874, |
| "alignment_faking_detection::f1_20-vote": 875, |
| "alignment_faking_detection::f1_af": 876, |
| "alignment_faking_detection::precision_20-vote": 877, |
| "alignment_faking_detection::precision_af": 878, |
| "alignment_faking_detection::recall_20-vote": 879, |
| "alignment_faking_detection::recall_af": 880, |
| "all_in_one_image_restoration::psnr": 881, |
| "amazon_review_classification::accuracy": 882, |
| "amazoncounterfactualclassification::accuracy": 883, |
| "amazonreviewsclassification::accuracy": 884, |
| "american_invitational_mathematics_examination::score": 885, |
| "analogy_questions_bats::accuracy": 886, |
| "analogy_questions_conceptnet_analogy::accuracy": 887, |
| "analogy_questions_google::accuracy": 888, |
| "analogy_questions_nell_one_analogy::accuracy": 889, |
| "analogy_questions_sat::accuracy": 890, |
| "analogy_questions_sat_full::accuracy": 891, |
| "analogy_questions_trex_analogy::accuracy": 892, |
| "analogy_questions_u2::accuracy": 893, |
| "analogy_questions_u4::accuracy": 894, |
| "animal_pose_estimation::ap": 895, |
| "animal_pose_estimation::map": 896, |
| "animal_pose_estimation::pck@0.3_ood": 897, |
| "anomaly_detection::auroc": 898, |
| "anomaly_detection::detection_auroc": 899, |
| "anomaly_detection::f1": 900, |
| "anomaly_detection::precision": 901, |
| "anomaly_detection::recall": 902, |
| "anomaly_detection::roc-auc": 903, |
| "anomaly_detection::roc_auc": 904, |
| "anomaly_detection::threshold": 905, |
| "answerability_prediction::macro_f1": 906, |
| "any_to_any::accuracy": 907, |
| "any_to_any::anls": 908, |
| "any_to_any::cer": 909, |
| "any_to_any::character_error_rate": 910, |
| "any_to_any::exact_match": 911, |
| "any_to_any::f1": 912, |
| "any_to_any::mae": 913, |
| "arabic_ai_text_detection::accuracy": 914, |
| "arabic_ai_text_detection::f1": 915, |
| "arabic_ai_text_detection::precision": 916, |
| "arabic_ai_text_detection::recall": 917, |
| "arabic_to_english_translation::bleu_score": 918, |
| "arabic_to_english_translation::character_error_rate": 919, |
| "arabic_to_english_translation::word_error_rate": 920, |
| "arc::score": 921, |
| "arc_c::accuracy": 922, |
| "arc_ca_challenge::accuracy": 923, |
| "arc_ca_challenge::accuracy_norm": 924, |
| "arc_ca_easy::accuracy": 925, |
| "arc_ca_easy::accuracy_norm": 926, |
| "arc_challenge::accuracy": 927, |
| "arc_challenge::accuracy_norm": 928, |
| "arc_e::accuracy": 929, |
| "arc_easy::accuracy": 930, |
| "arc_easy::accuracy_norm": 931, |
| "arc_prize_2025_legacy_evaluation_mapping::arc_task_solve_rate_pass@1": 932, |
| "arc_prize_2025_legacy_evaluation_mapping::arc_task_solve_rate_pass@10": 933, |
| "arc_prize_2025_legacy_evaluation_mapping::arc_task_solve_rate_pass@100": 934, |
| "arc_prize_2025_legacy_evaluation_mapping::arc_task_solve_rate_pass@2": 935, |
| "argument_mining::eval_loss": 936, |
| "arithmetic_reasoning::accuracy": 937, |
| "arxivqa::score": 938, |
| "aspect_based_sentiment_analysis_absa::f1_%": 939, |
| "aspect_based_sentiment_analysis_absa::f1_r15": 940, |
| "aspect_based_sentiment_analysis_absa::f1_r16": 941, |
| "asr::accuracy": 942, |
| "asr::bleu": 943, |
| "asr::f1": 944, |
| "asr::wer": 945, |
| "ast::bleu": 946, |
| "atari_games::score": 947, |
| "atomic_action_recognition::average-map": 948, |
| "attacks_on_democratic_basic_order_detection::macro-f1": 949, |
| "audio_captioning::cider": 950, |
| "audio_classification::accuracy": 951, |
| "audio_classification::accuracy_%": 952, |
| "audio_classification::accuray": 953, |
| "audio_classification::auc": 954, |
| "audio_classification::auprc": 955, |
| "audio_classification::eer": 956, |
| "audio_classification::eer_%": 957, |
| "audio_classification::f1": 958, |
| "audio_classification::f1-score": 959, |
| "audio_classification::icbhi_score": 960, |
| "audio_classification::macro-f1": 961, |
| "audio_classification::mean_ap": 962, |
| "audio_classification::music_accuracy": 963, |
| "audio_classification::overall_accuracy": 964, |
| "audio_classification::precision": 965, |
| "audio_classification::recall": 966, |
| "audio_classification::speech_accuracy": 967, |
| "audio_classification::test_accent_accuracy": 968, |
| "audio_classification::test_accuracy": 969, |
| "audio_classification::test_accuracy_on_coscan_speech": 970, |
| "audio_classification::test_age_accuracy": 971, |
| "audio_classification::test_f1_macro": 972, |
| "audio_classification::test_f1_micro_on_coscan_speech": 973, |
| "audio_classification::test_map": 974, |
| "audio_classification::test_precision_macro": 975, |
| "audio_classification::test_recall_macro": 976, |
| "audio_classification::test_weighted_accuracy": 977, |
| "audio_classification::top-1_accuracy": 978, |
| "audio_classification::top_1_accuracy": 979, |
| "audio_classification::validation_accuracy": 980, |
| "audio_classification::validation_accuracy_on_coscan_speech": 981, |
| "audio_classification::validation_f1_micro_on_coscan_speech": 982, |
| "audio_emotion_classification::arousal-valence_mse": 983, |
| "audio_emotion_classification::test_accuracy": 984, |
| "audio_emotion_recognition::accuracy": 985, |
| "audio_generation::bits_per_byte": 986, |
| "audio_generation::fad": 987, |
| "audio_retrieval::r@1": 988, |
| "audio_source_separation::sdr": 989, |
| "audio_super_resolution::log-spectral_distance": 990, |
| "audio_tagging::mean_average_precision": 991, |
| "audio_text_retrieval::audio-to-text_r@1": 992, |
| "audio_text_retrieval::audio-to-text_r@10": 993, |
| "audio_text_retrieval::audio-to-text_r@5": 994, |
| "authorship_verification::accuracy": 995, |
| "authorship_verification::auc": 996, |
| "auto_debugging::exact_string_match": 997, |
| "automated_theorem_proving::cumulative": 998, |
| "automatic_phoneme_recognition::test_per": 999, |
| "automatic_phoneme_recognition::val_per": 1000, |
| "automatic_speech_recognition::accuracy": 1001, |
| "automatic_speech_recognition::accuracy@1": 1002, |
| "automatic_speech_recognition::accuracy@10": 1003, |
| "automatic_speech_recognition::accuracy@100": 1004, |
| "automatic_speech_recognition::average_media_wer_processed": 1005, |
| "automatic_speech_recognition::average_rtfx": 1006, |
| "automatic_speech_recognition::avg_wer": 1007, |
| "automatic_speech_recognition::best_wer": 1008, |
| "automatic_speech_recognition::bleu": 1009, |
| "automatic_speech_recognition::bleu_on_common_voice_17.0": 1010, |
| "automatic_speech_recognition::bleu_score": 1011, |
| "automatic_speech_recognition::cer": 1012, |
| "automatic_speech_recognition::cer-char": 1013, |
| "automatic_speech_recognition::cer-rome": 1014, |
| "automatic_speech_recognition::cer_%": 1015, |
| "automatic_speech_recognition::cer_catalan": 1016, |
| "automatic_speech_recognition::cer_character_error_rate": 1017, |
| "automatic_speech_recognition::cer_documentaries": 1018, |
| "automatic_speech_recognition::cer_normalized": 1019, |
| "automatic_speech_recognition::cer_on_common_voice_17.0": 1020, |
| "automatic_speech_recognition::cer_raw": 1021, |
| "automatic_speech_recognition::cer_spanish": 1022, |
| "automatic_speech_recognition::cer_test": 1023, |
| "automatic_speech_recognition::cer_validation": 1024, |
| "automatic_speech_recognition::character_error_rate": 1025, |
| "automatic_speech_recognition::character_error_rate_cer": 1026, |
| "automatic_speech_recognition::chrf": 1027, |
| "automatic_speech_recognition::chrf_on_common_voice_17.0": 1028, |
| "automatic_speech_recognition::common_voice_irish_invalidated_281_utterances_with_lm": 1029, |
| "automatic_speech_recognition::common_voice_irish_invalidated_281_utterances_without_lm": 1030, |
| "automatic_speech_recognition::competition_similarity_score": 1031, |
| "automatic_speech_recognition::dev16_cer": 1032, |
| "automatic_speech_recognition::dev16_wer": 1033, |
| "automatic_speech_recognition::dev_cer": 1034, |
| "automatic_speech_recognition::dev_cer_+lm": 1035, |
| "automatic_speech_recognition::dev_cer_with_lm": 1036, |
| "automatic_speech_recognition::dev_cer_without_lm": 1037, |
| "automatic_speech_recognition::dev_wer": 1038, |
| "automatic_speech_recognition::dev_wer_+lm": 1039, |
| "automatic_speech_recognition::dev_wer_with_lm": 1040, |
| "automatic_speech_recognition::dev_wer_without_lm": 1041, |
| "automatic_speech_recognition::eval_cer": 1042, |
| "automatic_speech_recognition::eval_loss": 1043, |
| "automatic_speech_recognition::eval_wer": 1044, |
| "automatic_speech_recognition::exact_match": 1045, |
| "automatic_speech_recognition::f1": 1046, |
| "automatic_speech_recognition::fleurs-test-bleu": 1047, |
| "automatic_speech_recognition::fleurs-test-cer": 1048, |
| "automatic_speech_recognition::fleurs-test-wer": 1049, |
| "automatic_speech_recognition::kannada_wer": 1050, |
| "automatic_speech_recognition::mer": 1051, |
| "automatic_speech_recognition::mrr@10": 1052, |
| "automatic_speech_recognition::normalized_cer": 1053, |
| "automatic_speech_recognition::normalized_levenshtein_similarity": 1054, |
| "automatic_speech_recognition::normalized_wer": 1055, |
| "automatic_speech_recognition::overall_wer": 1056, |
| "automatic_speech_recognition::phoneme_error_rate": 1057, |
| "automatic_speech_recognition::phoneme_error_rate_per_%": 1058, |
| "automatic_speech_recognition::pre@10": 1059, |
| "automatic_speech_recognition::telugu_wer": 1060, |
| "automatic_speech_recognition::test16_cer": 1061, |
| "automatic_speech_recognition::test16_wer": 1062, |
| "automatic_speech_recognition::test20_cer": 1063, |
| "automatic_speech_recognition::test20_wer": 1064, |
| "automatic_speech_recognition::test_bokmål_cer": 1065, |
| "automatic_speech_recognition::test_bokmål_wer": 1066, |
| "automatic_speech_recognition::test_cer": 1067, |
| "automatic_speech_recognition::test_cer_%": 1068, |
| "automatic_speech_recognition::test_cer_+lm": 1069, |
| "automatic_speech_recognition::test_cer_mandrin": 1070, |
| "automatic_speech_recognition::test_cer_no_lm": 1071, |
| "automatic_speech_recognition::test_cer_using_lm": 1072, |
| "automatic_speech_recognition::test_cer_w/o_stress": 1073, |
| "automatic_speech_recognition::test_cer_with_lm": 1074, |
| "automatic_speech_recognition::test_cer_without_lm": 1075, |
| "automatic_speech_recognition::test_custom_cer_ctc": 1076, |
| "automatic_speech_recognition::test_custom_cer_rnnt": 1077, |
| "automatic_speech_recognition::test_custom_wer_ctc": 1078, |
| "automatic_speech_recognition::test_custom_wer_rnnt": 1079, |
| "automatic_speech_recognition::test_mer": 1080, |
| "automatic_speech_recognition::test_nynorsk_cer": 1081, |
| "automatic_speech_recognition::test_nynorsk_wer": 1082, |
| "automatic_speech_recognition::test_per_w/o_stress": 1083, |
| "automatic_speech_recognition::test_ser": 1084, |
| "automatic_speech_recognition::test_wer": 1085, |
| "automatic_speech_recognition::test_wer_+lm": 1086, |
| "automatic_speech_recognition::test_wer_960ms_chunk_size_4_left_context_chunks": 1087, |
| "automatic_speech_recognition::test_wer_bg": 1088, |
| "automatic_speech_recognition::test_wer_cs": 1089, |
| "automatic_speech_recognition::test_wer_da": 1090, |
| "automatic_speech_recognition::test_wer_de": 1091, |
| "automatic_speech_recognition::test_wer_el": 1092, |
| "automatic_speech_recognition::test_wer_en": 1093, |
| "automatic_speech_recognition::test_wer_es": 1094, |
| "automatic_speech_recognition::test_wer_et": 1095, |
| "automatic_speech_recognition::test_wer_fi": 1096, |
| "automatic_speech_recognition::test_wer_fr": 1097, |
| "automatic_speech_recognition::test_wer_hr": 1098, |
| "automatic_speech_recognition::test_wer_hu": 1099, |
| "automatic_speech_recognition::test_wer_it": 1100, |
| "automatic_speech_recognition::test_wer_lt": 1101, |
| "automatic_speech_recognition::test_wer_lv": 1102, |
| "automatic_speech_recognition::test_wer_mls": 1103, |
| "automatic_speech_recognition::test_wer_mt": 1104, |
| "automatic_speech_recognition::test_wer_nl": 1105, |
| "automatic_speech_recognition::test_wer_no_lm": 1106, |
| "automatic_speech_recognition::test_wer_non-streaming_greedy": 1107, |
| "automatic_speech_recognition::test_wer_p&c": 1108, |
| "automatic_speech_recognition::test_wer_pl": 1109, |
| "automatic_speech_recognition::test_wer_pt": 1110, |
| "automatic_speech_recognition::test_wer_ro": 1111, |
| "automatic_speech_recognition::test_wer_ru": 1112, |
| "automatic_speech_recognition::test_wer_sk": 1113, |
| "automatic_speech_recognition::test_wer_sl": 1114, |
| "automatic_speech_recognition::test_wer_sv": 1115, |
| "automatic_speech_recognition::test_wer_uk": 1116, |
| "automatic_speech_recognition::test_wer_using_lm": 1117, |
| "automatic_speech_recognition::test_wer_with_lm": 1118, |
| "automatic_speech_recognition::test_wer_without_lm": 1119, |
| "automatic_speech_recognition::test_wil": 1120, |
| "automatic_speech_recognition::test_wip": 1121, |
| "automatic_speech_recognition::transcription_accuracy": 1122, |
| "automatic_speech_recognition::translation_bleu_score": 1123, |
| "automatic_speech_recognition::validation_cer": 1124, |
| "automatic_speech_recognition::validation_loss": 1125, |
| "automatic_speech_recognition::validation_wer": 1126, |
| "automatic_speech_recognition::wer": 1127, |
| "automatic_speech_recognition::wer%": 1128, |
| "automatic_speech_recognition::wer_%": 1129, |
| "automatic_speech_recognition::wer_1.12s_frame_size": 1130, |
| "automatic_speech_recognition::wer_beam_5": 1131, |
| "automatic_speech_recognition::wer_catalan": 1132, |
| "automatic_speech_recognition::wer_documentaries": 1133, |
| "automatic_speech_recognition::wer_english_-_combined": 1134, |
| "automatic_speech_recognition::wer_greedy": 1135, |
| "automatic_speech_recognition::wer_indonesian_-_combined": 1136, |
| "automatic_speech_recognition::wer_news": 1137, |
| "automatic_speech_recognition::wer_normalized": 1138, |
| "automatic_speech_recognition::wer_on_common_voice_17.0": 1139, |
| "automatic_speech_recognition::wer_orthographic": 1140, |
| "automatic_speech_recognition::wer_raw": 1141, |
| "automatic_speech_recognition::wer_reference_column:_raw_transcription": 1142, |
| "automatic_speech_recognition::wer_reference_column:_transcription": 1143, |
| "automatic_speech_recognition::wer_seed_42_-_split_1": 1144, |
| "automatic_speech_recognition::wer_seed_42_-_split_2": 1145, |
| "automatic_speech_recognition::wer_seed_42_-_split_3": 1146, |
| "automatic_speech_recognition::wer_seed_43_-_split_1": 1147, |
| "automatic_speech_recognition::wer_seed_43_-_split_2": 1148, |
| "automatic_speech_recognition::wer_seed_43_-_split_3": 1149, |
| "automatic_speech_recognition::wer_seed_44_-_split_1": 1150, |
| "automatic_speech_recognition::wer_seed_44_-_split_2": 1151, |
| "automatic_speech_recognition::wer_seed_44_-_split_3": 1152, |
| "automatic_speech_recognition::wer_spanish": 1153, |
| "automatic_speech_recognition::wer_test": 1154, |
| "automatic_speech_recognition::wer_unnormalized": 1155, |
| "automatic_speech_recognition::wer_validation": 1156, |
| "automatic_speech_recognition::wer_without_normalization": 1157, |
| "automatic_speech_recognition::wer_word_error_rate": 1158, |
| "automatic_speech_recognition::word_error_rate": 1159, |
| "automatic_speech_recognition::word_error_rate_all_data": 1160, |
| "automatic_speech_recognition::word_error_rate_eslo": 1161, |
| "automatic_speech_recognition::word_error_rate_langage": 1162, |
| "automatic_speech_recognition::word_error_rate_wer": 1163, |
| "automatic_speech_recognition::word_error_rate_with_limited_vocabulary": 1164, |
| "automatic_speech_recognition::zeroth-test-bleu": 1165, |
| "automatic_speech_recognition::zeroth-test-cer": 1166, |
| "automatic_speech_recognition::zeroth-test-wer": 1167, |
| "automatic_speech_translation::test_bleu_bg->en": 1168, |
| "automatic_speech_translation::test_bleu_cs->en": 1169, |
| "automatic_speech_translation::test_bleu_da->en": 1170, |
| "automatic_speech_translation::test_bleu_de->en": 1171, |
| "automatic_speech_translation::test_bleu_el->en": 1172, |
| "automatic_speech_translation::test_bleu_en->bg": 1173, |
| "automatic_speech_translation::test_bleu_en->cs": 1174, |
| "automatic_speech_translation::test_bleu_en->da": 1175, |
| "automatic_speech_translation::test_bleu_en->de": 1176, |
| "automatic_speech_translation::test_bleu_en->el": 1177, |
| "automatic_speech_translation::test_bleu_en->es": 1178, |
| "automatic_speech_translation::test_bleu_en->et": 1179, |
| "automatic_speech_translation::test_bleu_en->fi": 1180, |
| "automatic_speech_translation::test_bleu_en->fr": 1181, |
| "automatic_speech_translation::test_bleu_en->hr": 1182, |
| "automatic_speech_translation::test_bleu_en->hu": 1183, |
| "automatic_speech_translation::test_bleu_en->it": 1184, |
| "automatic_speech_translation::test_bleu_en->lt": 1185, |
| "automatic_speech_translation::test_bleu_en->lv": 1186, |
| "automatic_speech_translation::test_bleu_en->mt": 1187, |
| "automatic_speech_translation::test_bleu_en->nl": 1188, |
| "automatic_speech_translation::test_bleu_en->pl": 1189, |
| "automatic_speech_translation::test_bleu_en->pt": 1190, |
| "automatic_speech_translation::test_bleu_en->ro": 1191, |
| "automatic_speech_translation::test_bleu_en->ru": 1192, |
| "automatic_speech_translation::test_bleu_en->sk": 1193, |
| "automatic_speech_translation::test_bleu_en->sl": 1194, |
| "automatic_speech_translation::test_bleu_en->sv": 1195, |
| "automatic_speech_translation::test_bleu_en->uk": 1196, |
| "automatic_speech_translation::test_bleu_es->en": 1197, |
| "automatic_speech_translation::test_bleu_et->en": 1198, |
| "automatic_speech_translation::test_bleu_fi->en": 1199, |
| "automatic_speech_translation::test_bleu_fr->en": 1200, |
| "automatic_speech_translation::test_bleu_hr->en": 1201, |
| "automatic_speech_translation::test_bleu_hu->en": 1202, |
| "automatic_speech_translation::test_bleu_it->en": 1203, |
| "automatic_speech_translation::test_bleu_lt->en": 1204, |
| "automatic_speech_translation::test_bleu_lv->en": 1205, |
| "automatic_speech_translation::test_bleu_mt->en": 1206, |
| "automatic_speech_translation::test_bleu_nl->en": 1207, |
| "automatic_speech_translation::test_bleu_pl->en": 1208, |
| "automatic_speech_translation::test_bleu_pt->en": 1209, |
| "automatic_speech_translation::test_bleu_ro->en": 1210, |
| "automatic_speech_translation::test_bleu_ru->en": 1211, |
| "automatic_speech_translation::test_bleu_sk->en": 1212, |
| "automatic_speech_translation::test_bleu_sl->en": 1213, |
| "automatic_speech_translation::test_bleu_sv->en": 1214, |
| "automatic_speech_translation::test_bleu_taigi->mandrin": 1215, |
| "automatic_speech_translation::test_bleu_uk->en": 1216, |
| "automatic_speech_translation::test_comet_bg->en": 1217, |
| "automatic_speech_translation::test_comet_cs->en": 1218, |
| "automatic_speech_translation::test_comet_da->en": 1219, |
| "automatic_speech_translation::test_comet_de->en": 1220, |
| "automatic_speech_translation::test_comet_el->en": 1221, |
| "automatic_speech_translation::test_comet_en->bg": 1222, |
| "automatic_speech_translation::test_comet_en->cs": 1223, |
| "automatic_speech_translation::test_comet_en->da": 1224, |
| "automatic_speech_translation::test_comet_en->de": 1225, |
| "automatic_speech_translation::test_comet_en->el": 1226, |
| "automatic_speech_translation::test_comet_en->es": 1227, |
| "automatic_speech_translation::test_comet_en->et": 1228, |
| "automatic_speech_translation::test_comet_en->fi": 1229, |
| "automatic_speech_translation::test_comet_en->fr": 1230, |
| "automatic_speech_translation::test_comet_en->hr": 1231, |
| "automatic_speech_translation::test_comet_en->hu": 1232, |
| "automatic_speech_translation::test_comet_en->it": 1233, |
| "automatic_speech_translation::test_comet_en->lt": 1234, |
| "automatic_speech_translation::test_comet_en->lv": 1235, |
| "automatic_speech_translation::test_comet_en->mt": 1236, |
| "automatic_speech_translation::test_comet_en->nl": 1237, |
| "automatic_speech_translation::test_comet_en->pl": 1238, |
| "automatic_speech_translation::test_comet_en->pt": 1239, |
| "automatic_speech_translation::test_comet_en->ro": 1240, |
| "automatic_speech_translation::test_comet_en->ru": 1241, |
| "automatic_speech_translation::test_comet_en->sk": 1242, |
| "automatic_speech_translation::test_comet_en->sl": 1243, |
| "automatic_speech_translation::test_comet_en->sv": 1244, |
| "automatic_speech_translation::test_comet_en->uk": 1245, |
| "automatic_speech_translation::test_comet_es->en": 1246, |
| "automatic_speech_translation::test_comet_et->en": 1247, |
| "automatic_speech_translation::test_comet_fi->en": 1248, |
| "automatic_speech_translation::test_comet_fr->en": 1249, |
| "automatic_speech_translation::test_comet_hr->en": 1250, |
| "automatic_speech_translation::test_comet_hu->en": 1251, |
| "automatic_speech_translation::test_comet_it->en": 1252, |
| "automatic_speech_translation::test_comet_lt->en": 1253, |
| "automatic_speech_translation::test_comet_lv->en": 1254, |
| "automatic_speech_translation::test_comet_mt->en": 1255, |
| "automatic_speech_translation::test_comet_nl->en": 1256, |
| "automatic_speech_translation::test_comet_pl->en": 1257, |
| "automatic_speech_translation::test_comet_pt->en": 1258, |
| "automatic_speech_translation::test_comet_ro->en": 1259, |
| "automatic_speech_translation::test_comet_ru->en": 1260, |
| "automatic_speech_translation::test_comet_sk->en": 1261, |
| "automatic_speech_translation::test_comet_sl->en": 1262, |
| "automatic_speech_translation::test_comet_sv->en": 1263, |
| "automatic_speech_translation::test_comet_uk->en": 1264, |
| "bandwidth_extension::test_noresqa-mos_in-domain_training": 1265, |
| "bandwidth_extension::test_squim-stoi_in-domain_training": 1266, |
| "bandwidth_extension::test_stoi_in-domain_training": 1267, |
| "battery_insertion::final_training_loss": 1268, |
| "bbh::accuracy": 1269, |
| "beta_secretase_inhibition::auc": 1270, |
| "bias_detection::best-of": 1271, |
| "bias_detection::icat_score": 1272, |
| "biblical_hebrew_vocalization::bleu_score": 1273, |
| "biblical_hebrew_vocalization::character_accuracy": 1274, |
| "biblical_hebrew_vocalization::chrf_score": 1275, |
| "binary_classification::accuracy": 1276, |
| "binary_classification::auc": 1277, |
| "binary_classification::cosine_accuracy": 1278, |
| "binary_classification::cosine_accuracy_evaluation": 1279, |
| "binary_classification::cosine_accuracy_threshold": 1280, |
| "binary_classification::cosine_ap": 1281, |
| "binary_classification::cosine_f1": 1282, |
| "binary_classification::cosine_f1_threshold": 1283, |
| "binary_classification::cosine_mcc": 1284, |
| "binary_classification::cosine_precision": 1285, |
| "binary_classification::cosine_recall": 1286, |
| "binary_classification::dot_accuracy": 1287, |
| "binary_classification::dot_accuracy_threshold": 1288, |
| "binary_classification::dot_ap": 1289, |
| "binary_classification::dot_f1": 1290, |
| "binary_classification::dot_f1_threshold": 1291, |
| "binary_classification::dot_mcc": 1292, |
| "binary_classification::dot_precision": 1293, |
| "binary_classification::dot_recall": 1294, |
| "binary_classification::euclidean_accuracy": 1295, |
| "binary_classification::euclidean_accuracy_threshold": 1296, |
| "binary_classification::euclidean_ap": 1297, |
| "binary_classification::euclidean_f1": 1298, |
| "binary_classification::euclidean_f1_threshold": 1299, |
| "binary_classification::euclidean_precision": 1300, |
| "binary_classification::euclidean_recall": 1301, |
| "binary_classification::f1": 1302, |
| "binary_classification::manhattan_accuracy": 1303, |
| "binary_classification::manhattan_accuracy_threshold": 1304, |
| "binary_classification::manhattan_ap": 1305, |
| "binary_classification::manhattan_f1": 1306, |
| "binary_classification::manhattan_f1_threshold": 1307, |
| "binary_classification::manhattan_precision": 1308, |
| "binary_classification::manhattan_recall": 1309, |
| "binary_classification::max_accuracy": 1310, |
| "binary_classification::max_accuracy_threshold": 1311, |
| "binary_classification::max_ap": 1312, |
| "binary_classification::max_f1": 1313, |
| "binary_classification::max_f1_threshold": 1314, |
| "binary_classification::max_precision": 1315, |
| "binary_classification::max_recall": 1316, |
| "binary_classification::precision": 1317, |
| "binary_classification::recall": 1318, |
| "binary_classification::roc_auc": 1319, |
| "binary_classification::training_loss": 1320, |
| "binary_image_classification::accuracy": 1321, |
| "binary_image_classification::f1": 1322, |
| "binary_image_classification::test_accuracy_original_data": 1323, |
| "binary_image_classification::test_f1-score": 1324, |
| "binary_legit_vs_spam_email::accuracy": 1325, |
| "binary_legit_vs_spam_email::macro_f1": 1326, |
| "binary_ohca_detection_ohca_vs_non_ohca::f1-score": 1327, |
| "binary_ohca_detection_ohca_vs_non_ohca::npv": 1328, |
| "binary_ohca_detection_ohca_vs_non_ohca::ppv_precision": 1329, |
| "binary_ohca_detection_ohca_vs_non_ohca::roc-auc": 1330, |
| "binary_ohca_detection_ohca_vs_non_ohca::sensitivity_recall": 1331, |
| "binary_ohca_detection_ohca_vs_non_ohca::specificity": 1332, |
| "binary_propaganda_detection::accuracy": 1333, |
| "binary_propaganda_detection::f1": 1334, |
| "binary_propaganda_detection::precision": 1335, |
| "binary_propaganda_detection::recall": 1336, |
| "binary_text_classification::accuracy_%": 1337, |
| "binary_text_classification::f1": 1338, |
| "binary_text_classification_autoimmune_neurology::accuracy": 1339, |
| "binary_text_classification_autoimmune_neurology::f1": 1340, |
| "binary_text_classification_autoimmune_neurology::precision": 1341, |
| "binary_text_classification_autoimmune_neurology::recall": 1342, |
| "binary_text_classification_autoimmune_neurology::roc-auc": 1343, |
| "biomedical_information_retrieval::ndcg@10": 1344, |
| "biomedical_qa_chinese::f1": 1345, |
| "biomedical_qa_pubmedqa::accuracy": 1346, |
| "bitextmining::accuracy": 1347, |
| "bitextmining::f1": 1348, |
| "bitextmining::main_score": 1349, |
| "bitextmining::precision": 1350, |
| "bitextmining::recall": 1351, |
| "bleu::average_latency_ms": 1352, |
| "bleu::chrf++": 1353, |
| "bleu::meteor": 1354, |
| "blind_face_restoration::fid": 1355, |
| "blind_reconstruction_2_pass::character_accuracy": 1356, |
| "blind_reconstruction_2_pass::word_accuracy": 1357, |
| "blood_brain_barrier::auc": 1358, |
| "boolq::accuracy": 1359, |
| "boolq_question_answering::accuracy": 1360, |
| "brain_tumor_classification::accuracy": 1361, |
| "brain_tumor_detection::background_specificity": 1362, |
| "brain_tumor_detection::map@0.5": 1363, |
| "breast_cancer_histology_image_classification::accuracy_%": 1364, |
| "breast_tumour_classification::auc": 1365, |
| "bug_fix_patch_generation::bleu": 1366, |
| "bug_fix_patch_generation::rouge-1_f1": 1367, |
| "bug_fix_patch_generation::rouge-2_f1": 1368, |
| "bug_fix_patch_generation::rouge-l_f1": 1369, |
| "business_intelligence_engine::accuracy": 1370, |
| "c_eval_valid::accuracy": 1371, |
| "c_eval_valid::accuracy_norm": 1372, |
| "call_to_action_detection::macro-f1": 1373, |
| "camera_pose_estimation::absolute_trajectory_error_m": 1374, |
| "camouflaged_object_segmentation::s-measure": 1375, |
| "cancer_image_classification::f1": 1376, |
| "cancer_image_classification::precision": 1377, |
| "cancer_image_classification::recall_sensitivity": 1378, |
| "cancer_image_classification::test_accuracy": 1379, |
| "car_damage_detection::final_training_loss": 1380, |
| "cartpole_v1::mean_episode_length": 1381, |
| "caselaw_retrieval::ndcg@10": 1382, |
| "catalanqa::exact_match": 1383, |
| "catalanqa::f1": 1384, |
| "categorical_classification_cc::macro_f1_score": 1385, |
| "categorical_pair_similarity_cps::macro_f1_score": 1386, |
| "category_clustering::v-measure_main": 1387, |
| "category_clustering::v-measure_sub": 1388, |
| "causal_language_modeling::accuracy": 1389, |
| "causal_language_modeling::bleu": 1390, |
| "causal_language_modeling::loss": 1391, |
| "causal_language_modeling::perplexity": 1392, |
| "causal_language_modeling::rouge1": 1393, |
| "cell_type_prediction::accuracy": 1394, |
| "character_plot_arc_classification::accuracy": 1395, |
| "character_plot_arc_classification::f1_score_strong_class": 1396, |
| "character_plot_arc_classification::precision_strong_class": 1397, |
| "character_plot_arc_classification::recall_strong_class": 1398, |
| "chart_question_answering::1:1_accuracy": 1399, |
| "chart_reasoning::accuracy": 1400, |
| "chat::win_rate": 1401, |
| "chat_instruction_following::accuracy": 1402, |
| "cheese_texture_classification::test_accuracy": 1403, |
| "chest_x_ray_report_generation::radgraph_f1": 1404, |
| "chinese::accuracy": 1405, |
| "chinese_evaluation::acc_none_ceval-valid": 1406, |
| "chinese_evaluation::acc_none_cmmlu": 1407, |
| "chinese_evaluation::exact_match_strict-match_ceval-valid-pretrain-cot_zh": 1408, |
| "chinese_evaluation::exact_match_strict-match_cmmlu_pretrain_cot_zh": 1409, |
| "chinese_evaluation::exact_match_strict-match_zh_pretrain_multishot": 1410, |
| "chunking::test_accuracy": 1411, |
| "chunking::test_f1_macro": 1412, |
| "chunking::test_jaccard_error_rate": 1413, |
| "chunking::test_precision_macro": 1414, |
| "chunking::test_recall_macro": 1415, |
| "citation_classification::cosine_accuracy": 1416, |
| "claim_checkworthiness_detection::test_accuracy": 1417, |
| "claim_checkworthiness_detection::test_f1": 1418, |
| "claim_checkworthiness_detection::test_precision": 1419, |
| "claim_checkworthiness_detection::test_recall": 1420, |
| "clasificaci_n_de_rese_as_5_clases::accuracy": 1421, |
| "clasificaci_n_de_rese_as_5_clases::f1": 1422, |
| "clasificaci_n_de_texto::accuracy": 1423, |
| "clasificaci_n_de_texto::eval_loss": 1424, |
| "clasificaci_n_de_texto::f1": 1425, |
| "clasificaci_n_de_texto::train_loss": 1426, |
| "class_specific_performance::covid-19_accuracy": 1427, |
| "class_specific_performance::f1_covid-19": 1428, |
| "class_specific_performance::f1_healthy": 1429, |
| "class_specific_performance::f1_symptomatic": 1430, |
| "class_specific_performance::healthy_accuracy": 1431, |
| "class_specific_performance::symptomatic_accuracy": 1432, |
| "classification::accuracy": 1433, |
| "classification::accuracy_stderr": 1434, |
| "classification::ap": 1435, |
| "classification::ap_stderr": 1436, |
| "classification::ap_weighted": 1437, |
| "classification::detection_auroc_severity_0": 1438, |
| "classification::en_content_to_title_acc": 1439, |
| "classification::en_title_to_content_acc": 1440, |
| "classification::epoch": 1441, |
| "classification::f1": 1442, |
| "classification::f1-score_weighted": 1443, |
| "classification::f1_stderr": 1444, |
| "classification::f1_weighted": 1445, |
| "classification::main_score": 1446, |
| "classification::robustness_score": 1447, |
| "classification::test_accuracy": 1448, |
| "classification::test_f1": 1449, |
| "classification::test_loss": 1450, |
| "classification::test_precision": 1451, |
| "classification::test_recall": 1452, |
| "classification::test_runtime": 1453, |
| "classification::test_samples_per_second": 1454, |
| "classification::test_steps_per_second": 1455, |
| "classification::wer": 1456, |
| "classification_roc_auc::roc_auc": 1457, |
| "classification_tasks::accuracy": 1458, |
| "classification_tasks::auroc": 1459, |
| "classification_tasks::f1": 1460, |
| "classify_an_image_of_chart_to_one_of_the_following_types_line_scatter_dot_vertical_bar_or_horizontal_bar::accuracy": 1461, |
| "classify_nepali_news::accuracy": 1462, |
| "clickbait_detection::accuracy": 1463, |
| "clickbait_detection::f1": 1464, |
| "clickbait_detection::precision": 1465, |
| "clickbait_detection::recall": 1466, |
| "climate_logical_fallacy_classification::accuracy": 1467, |
| "climate_logical_fallacy_classification::macro_f1": 1468, |
| "climate_logical_fallacy_classification::weighted_f1": 1469, |
| "climate_nlp_tasks_climabench::macro_f1_avg": 1470, |
| "clinical_ner::accuracy": 1471, |
| "clinical_ner::micro-f1_score": 1472, |
| "clinical_ner::precision": 1473, |
| "clinical_ner::recall": 1474, |
| "clinical_note_embeddings::cosine_similarity": 1475, |
| "clinical_note_embeddings::triplet_accuracy": 1476, |
| "clinical_operations::accuracy": 1477, |
| "clinical_operations::auroc": 1478, |
| "clinical_support::accuracy": 1479, |
| "clinical_support::bleu": 1480, |
| "clinical_support::f1": 1481, |
| "clinical_support::rouge_l": 1482, |
| "clinical_text_embeddings::cosine_similarity": 1483, |
| "clinical_text_embeddings::triplet_accuracy": 1484, |
| "clinical_trial_comprehension::accuracy": 1485, |
| "clinical_trial_comprehension::f1": 1486, |
| "clustering::adjusted_rand_index": 1487, |
| "clustering::ari": 1488, |
| "clustering::main_score": 1489, |
| "clustering::v_measure": 1490, |
| "clustering::v_measure_std": 1491, |
| "code::pass@1": 1492, |
| "code_completion::api": 1493, |
| "code_completion::em_line-level": 1494, |
| "code_documentation_generation::smoothed_bleu-4": 1495, |
| "code_evaluation::pass@1_n=1_code_instruct": 1496, |
| "code_evaluation::pass@1_n=1_humaneval_greedy_instruct": 1497, |
| "code_evaluation::pass@1_n=1_humaneval_plus_greedy_instruct": 1498, |
| "code_evaluation::pass@1_n=1_mbpp_plus_0shot_instruct": 1499, |
| "code_evaluation::pass@1_n=1_mbpp_sanitized_0shot_instruct": 1500, |
| "code_generation::accuracy": 1501, |
| "code_generation::bleu": 1502, |
| "code_generation::bleu_score": 1503, |
| "code_generation::corrsc": 1504, |
| "code_generation::humaneval_pass@1": 1505, |
| "code_generation::introductory_pass@1": 1506, |
| "code_generation::mbpp_pass@1": 1507, |
| "code_generation::pass@1": 1508, |
| "code_generation::pass@10": 1509, |
| "code_generation::pass@100": 1510, |
| "code_generation::pass@1_avg16": 1511, |
| "code_generation::pass@1_code_generation": 1512, |
| "code_generation::pass@1_function_completion": 1513, |
| "code_generation::pass@3": 1514, |
| "code_generation::score": 1515, |
| "code_generation::swe-bench_verified": 1516, |
| "code_generation::test_set_pass@1": 1517, |
| "code_generation_and_completion::score": 1518, |
| "code_reranking::mrr": 1519, |
| "code_reranking::top-1_accuracy": 1520, |
| "code_retrieval::ndcg@10": 1521, |
| "code_search::em@5_baseline": 1522, |
| "code_search::em@5_with_instructions": 1523, |
| "code_search::go": 1524, |
| "code_search::mrr": 1525, |
| "coding::exact_match": 1526, |
| "coding::mmlu_5-shot": 1527, |
| "coding::pass@1": 1528, |
| "coherence_momentum::accuracy": 1529, |
| "col_berttriplet::accuracy": 1530, |
| "col_berttriplet::mrr@10": 1531, |
| "col_berttriplet::ndcg@10": 1532, |
| "col_berttriplet::recall@10": 1533, |
| "col_berttriplet::recall@100": 1534, |
| "col_berttriplet::recall@50": 1535, |
| "colorectal_gland_segmentation::dice": 1536, |
| "common_sense::accuracy": 1537, |
| "common_sense_reasoning::accuracy": 1538, |
| "common_sense_reasoning::accuracy_norm": 1539, |
| "common_sense_reasoning::average_f1": 1540, |
| "common_sense_reasoning::exact_match": 1541, |
| "common_sense_reasoning::hellaswag_score": 1542, |
| "common_sense_reasoning::test": 1543, |
| "common_sense_reasoning::vs_base_model": 1544, |
| "commonsense::exact_match": 1545, |
| "commonsense_natural_language_inference::score": 1546, |
| "commonsense_reasoning::accuracy": 1547, |
| "commonsense_understanding::accuracy_norm": 1548, |
| "conditional_generation::molecule_uniqueness_rate": 1549, |
| "conditional_generation::smiles_validity_rate": 1550, |
| "conditional_image_generation::mean_squared_error": 1551, |
| "confidence_low_medium_high::accuracy": 1552, |
| "confidence_low_medium_high::log_loss": 1553, |
| "confidence_low_medium_high::macro_f1": 1554, |
| "contemporary_lb::paralux_accuracy": 1555, |
| "contemporary_lb::sib-200_lb_accuracy": 1556, |
| "contract_clause_classification::accuracy": 1557, |
| "contract_clause_classification::macro_f1": 1558, |
| "contracts_retrieval::ndcg@10": 1559, |
| "contrastive_learning::imagenet_top-1_accuracy": 1560, |
| "conversation_summarization::loss": 1561, |
| "conversation_summarization::validation_rogue-1": 1562, |
| "conversation_summarization::validation_rogue-l": 1563, |
| "conversational::win_rate_%": 1564, |
| "conversational_and_function_calling::training_accuracy": 1565, |
| "conversational_response_retrieval::precision@1": 1566, |
| "conversational_response_retrieval::top-1_accuracy": 1567, |
| "conversational_web_navigation::element_iou": 1568, |
| "copa_ca::accuracy": 1569, |
| "coqa::accuracy": 1570, |
| "core_reasoning_tasks::accuracy": 1571, |
| "coreference_resolution::accuracy": 1572, |
| "coreference_resolution::avg_f1": 1573, |
| "coreference_resolution::f1": 1574, |
| "coreference_resolution::lea": 1575, |
| "coreference_resolution::named_entity_linking_f_score": 1576, |
| "coreference_resolution::named_entity_linking_precision": 1577, |
| "coreference_resolution::named_entity_linking_recall": 1578, |
| "coreference_resolution::perplexity": 1579, |
| "cot": 1580, |
| "cough_classification::accuracy": 1581, |
| "cough_classification::auc_covid-19": 1582, |
| "cough_classification::auc_healthy": 1583, |
| "cough_classification::auc_symptomatic": 1584, |
| "covid_19_diagnosis::per-class_accuracy": 1585, |
| "crisis_detection::accuracy": 1586, |
| "crisis_detection::f1-score": 1587, |
| "crisis_detection::false_positive_rate": 1588, |
| "crisis_detection::precision": 1589, |
| "crisis_detection::recall_crisis_detection_rate": 1590, |
| "crop_classification::average_accuracy": 1591, |
| "crop_recommendation::accuracy": 1592, |
| "cross_encoder_binary_classification::accuracy": 1593, |
| "cross_encoder_binary_classification::accuracy_threshold": 1594, |
| "cross_encoder_binary_classification::average_precision": 1595, |
| "cross_encoder_binary_classification::f1": 1596, |
| "cross_encoder_binary_classification::f1_threshold": 1597, |
| "cross_encoder_binary_classification::precision": 1598, |
| "cross_encoder_binary_classification::recall": 1599, |
| "cross_encoder_classification::accuracy": 1600, |
| "cross_encoder_classification::accuracy_threshold": 1601, |
| "cross_encoder_classification::average_precision": 1602, |
| "cross_encoder_classification::f1": 1603, |
| "cross_encoder_classification::f1_macro": 1604, |
| "cross_encoder_classification::f1_micro": 1605, |
| "cross_encoder_classification::f1_threshold": 1606, |
| "cross_encoder_classification::f1_weighted": 1607, |
| "cross_encoder_classification::precision": 1608, |
| "cross_encoder_classification::recall": 1609, |
| "cross_encoder_correlation::pearson": 1610, |
| "cross_encoder_correlation::spearman": 1611, |
| "cross_encoder_nano_beir::map": 1612, |
| "cross_encoder_nano_beir::mrr@1": 1613, |
| "cross_encoder_nano_beir::mrr@10": 1614, |
| "cross_encoder_nano_beir::ndcg@1": 1615, |
| "cross_encoder_nano_beir::ndcg@10": 1616, |
| "cross_encoder_reranking::map": 1617, |
| "cross_encoder_reranking::mrr@1": 1618, |
| "cross_encoder_reranking::mrr@10": 1619, |
| "cross_encoder_reranking::mrr@5": 1620, |
| "cross_encoder_reranking::mrr@50": 1621, |
| "cross_encoder_reranking::ndcg@1": 1622, |
| "cross_encoder_reranking::ndcg@10": 1623, |
| "cross_encoder_reranking::ndcg@5": 1624, |
| "cross_encoder_reranking::ndcg@50": 1625, |
| "cross_encoder_softmax_accuracy::f1_macro": 1626, |
| "cross_encoder_softmax_accuracy::f1_micro": 1627, |
| "cross_encoder_softmax_accuracy::f1_weighted": 1628, |
| "cross_lingual_document_retrieval::map@10": 1629, |
| "cross_lingual_document_retrieval::mrr@10": 1630, |
| "cross_lingual_document_retrieval::ndcg@5": 1631, |
| "cross_lingual_document_retrieval::recall@10": 1632, |
| "cross_lingual_transfer::accuracy": 1633, |
| "cross_modal_retrieval::image-to-sound_r@100": 1634, |
| "cross_modal_retrieval::image-to-text_r@1": 1635, |
| "csqa::accuracy": 1636, |
| "cuisine_20_classes::accuracy": 1637, |
| "cuisine_20_classes::f1": 1638, |
| "cultural_vocal_bursts_intensity_prediction::concordance_correlation_coefficient_ccc": 1639, |
| "curated_test_samples::average_confidence": 1640, |
| "curated_test_samples::test_accuracy": 1641, |
| "curiosity_driven_exploration::cumulative_reward": 1642, |
| "custom_information_retrieval::cosine_accuracy@1": 1643, |
| "custom_information_retrieval::cosine_auc_precision_cache_hit_ratio": 1644, |
| "custom_information_retrieval::cosine_auc_similarity_distribution": 1645, |
| "custom_information_retrieval::cosine_map@100": 1646, |
| "custom_information_retrieval::cosine_mrr@1": 1647, |
| "custom_information_retrieval::cosine_ndcg@10": 1648, |
| "custom_information_retrieval::cosine_precision@1": 1649, |
| "custom_information_retrieval::cosine_recall@1": 1650, |
| "custom_triplet::cosine_accuracy": 1651, |
| "custom_triplet::dot_accuracy": 1652, |
| "custom_triplet::euclidean_accuracy": 1653, |
| "custom_triplet::manhattan_accuracy": 1654, |
| "custom_triplet::max_accuracy": 1655, |
| "customer_support_response_generation::bertscore-f1": 1656, |
| "customer_support_response_generation::bleu": 1657, |
| "customer_support_response_generation::perplexity": 1658, |
| "customer_support_response_generation::rouge_l": 1659, |
| "cv_bench::accuracy": 1660, |
| "cyberbullying_moderation_label_type::accuracy": 1661, |
| "cyberbullying_moderation_label_type::macro": 1662, |
| "cytotoxicity_prediction_from_molecular_structure::cross-validation_roc-auc": 1663, |
| "cytotoxicity_prediction_from_molecular_structure::roc-auc_std_dev": 1664, |
| "cytotoxicity_prediction_from_promiscuity::50%_cytotoxicity_threshold_hits": 1665, |
| "cytotoxicity_prediction_from_promiscuity::aic": 1666, |
| "cytotoxicity_prediction_from_promiscuity::log-likelihood": 1667, |
| "danish_eurlex_level_2::macro-f1": 1668, |
| "danish_eurlex_level_2::micro-f1": 1669, |
| "data_augmentation::accuracy_%": 1670, |
| "data_to_text_generation::bleu": 1671, |
| "deblurring::erqav2.0": 1672, |
| "deblurring::psnr": 1673, |
| "deblurring::psnr_srgb": 1674, |
| "deblurring::ssim_srgb": 1675, |
| "deepfake_detection::accuracy": 1676, |
| "deepfake_detection::auc": 1677, |
| "deepfake_detection::f1": 1678, |
| "deepfake_detection::f1-score": 1679, |
| "deepfake_detection::precision": 1680, |
| "deepfake_detection::recall": 1681, |
| "deepfake_detection::test_accuracy": 1682, |
| "defect_detection::accuracy": 1683, |
| "defect_detection::f1": 1684, |
| "defect_detection::precision": 1685, |
| "defect_detection::recall": 1686, |
| "defect_detection::roc-auc": 1687, |
| "definition_retrieval::mrr": 1688, |
| "dense_pixel_correspondence_estimation::viewpoint_i_aepe": 1689, |
| "dependency_parsing::f1": 1690, |
| "dependency_parsing::labelled_attachment_score": 1691, |
| "dependency_parsing::las": 1692, |
| "dependency_parsing::unlabelled_attachment_score": 1693, |
| "description_guided_molecule_generation::wacc": 1694, |
| "detection_tasks::accuracy": 1695, |
| "detection_tasks::auc": 1696, |
| "detection_tasks::auroc": 1697, |
| "detection_tasks::map": 1698, |
| "detection_tasks::roc_auc": 1699, |
| "device_aware_information_retrieval::cosine_accuracy@1": 1700, |
| "device_aware_information_retrieval::cosine_accuracy@10": 1701, |
| "device_aware_information_retrieval::cosine_accuracy@3": 1702, |
| "device_aware_information_retrieval::cosine_accuracy@5": 1703, |
| "device_aware_information_retrieval::cosine_map@100": 1704, |
| "device_aware_information_retrieval::cosine_mrr@10": 1705, |
| "device_aware_information_retrieval::cosine_ndcg@10": 1706, |
| "device_aware_information_retrieval::cosine_precision@1": 1707, |
| "device_aware_information_retrieval::cosine_precision@10": 1708, |
| "device_aware_information_retrieval::cosine_precision@3": 1709, |
| "device_aware_information_retrieval::cosine_precision@5": 1710, |
| "device_aware_information_retrieval::cosine_recall@1": 1711, |
| "device_aware_information_retrieval::cosine_recall@10": 1712, |
| "device_aware_information_retrieval::cosine_recall@3": 1713, |
| "device_aware_information_retrieval::cosine_recall@5": 1714, |
| "devops_question_answering::average_response_time_seconds": 1715, |
| "devops_question_answering::devops_relevance_score_0-10": 1716, |
| "devops_question_answering::overall_devops_accuracy": 1717, |
| "dialog_navigation::gp_test": 1718, |
| "dialog_navigation::gp_val": 1719, |
| "diamond::accuracy_norm": 1720, |
| "discourse_parsing::standard_parseval_full": 1721, |
| "disease_progression_classification_longitudinal::macro_accuracy": 1722, |
| "document_classification::f1": 1723, |
| "document_classification::macro-f1": 1724, |
| "document_classification::test_accuracy": 1725, |
| "document_classification::test_loss": 1726, |
| "document_grounded_qa::abstention_f1": 1727, |
| "document_grounded_qa::exact_match": 1728, |
| "document_grounded_qa::token_f1": 1729, |
| "document_image_classification::evaluation_accuracy": 1730, |
| "document_image_classification::evaluation_loss": 1731, |
| "document_image_classification::evaluation_macro_f1": 1732, |
| "document_image_classification::evaluation_macro_precision": 1733, |
| "document_image_classification::evaluation_macro_recall": 1734, |
| "document_image_classification::evaluation_micro_f1": 1735, |
| "document_image_classification::evaluation_micro_precision": 1736, |
| "document_image_classification::evaluation_micro_recall": 1737, |
| "document_image_classification::evaluation_runtime_seconds": 1738, |
| "document_image_classification::evaluation_samples_per_second": 1739, |
| "document_image_classification::evaluation_steps_per_second": 1740, |
| "document_image_classification::evaluation_weighted_f1": 1741, |
| "document_image_classification::evaluation_weighted_precision": 1742, |
| "document_image_classification::evaluation_weighted_recall": 1743, |
| "document_inconsistency_detection_nli_like::accuracy": 1744, |
| "document_inconsistency_detection_nli_like::f1_macro": 1745, |
| "document_intelligence::accuracy": 1746, |
| "document_layout_analysis::figure": 1747, |
| "document_ranking::p@10": 1748, |
| "document_reranking::mrr_on_abr_core_exam_chest": 1749, |
| "document_reranking::mrr_with_bi-encoder": 1750, |
| "document_retrieval::mrr": 1751, |
| "document_retrieval::ndcg@10": 1752, |
| "document_retrieval::recall@10": 1753, |
| "document_summarization::rouge-1": 1754, |
| "docvqa::score": 1755, |
| "domain_adaptation::miou": 1756, |
| "domain_generalization::accuracy_-_clean_images": 1757, |
| "domain_generalization::average_accuracy": 1758, |
| "domain_generalization::mean_corruption_error_mce": 1759, |
| "domain_generalization::miou": 1760, |
| "domain_generalization::top-1_accuracy": 1761, |
| "domain_generalization::top-1_accuracy_%": 1762, |
| "domain_generalization::top-1_error_rate": 1763, |
| "domain_q_a::exact_match_accuracy": 1764, |
| "domain_q_a::response_time_ms": 1765, |
| "drilling_engineering_ai::drilling_calculations_accuracy": 1766, |
| "drilling_engineering_ai::engineering_document_retrieval_precision": 1767, |
| "drop::accuracy": 1768, |
| "drug_adr_relation_extraction::f1": 1769, |
| "drug_adr_relation_extraction::roc-auc": 1770, |
| "drug_discovery::auc": 1771, |
| "drug_discovery::error_ratio": 1772, |
| "drug_drug_interaction_classification::recall": 1773, |
| "dynamic_reconstruction::lpips": 1774, |
| "eastern_syriac_vocalization::bleu_score": 1775, |
| "eastern_syriac_vocalization::character_accuracy": 1776, |
| "eastern_syriac_vocalization::chrf_score": 1777, |
| "ecg_report_generation::bleu-4_score": 1778, |
| "ecg_report_generation::diagnostic_coherence_score": 1779, |
| "ecg_report_generation::rouge-1_score": 1780, |
| "ecg_report_generation::rouge-l_score": 1781, |
| "ecg_report_generation::success_rate_%": 1782, |
| "educational_outcome_prediction::accuracy": 1783, |
| "educational_outcome_prediction::f1": 1784, |
| "educational_outcome_prediction::precision": 1785, |
| "educational_outcome_prediction::recall": 1786, |
| "efficiency_vs_baseline::memory_footprint_mb": 1787, |
| "efficiency_vs_baseline::phd_evaluation_score_/100": 1788, |
| "efficiency_vs_baseline::token_reduction_vs_character-level_%": 1789, |
| "efficiency_vs_baseline::token_reduction_vs_v6.5_%": 1790, |
| "egoschema::accuracy": 1791, |
| "email_classification::accuracy": 1792, |
| "email_classification::f1": 1793, |
| "email_summarization::rouge_l": 1794, |
| "email_ticket_classification::accuracy_queue": 1795, |
| "email_ticket_classification::accuracy_type": 1796, |
| "email_ticket_classification::f1_score_queue": 1797, |
| "email_ticket_classification::f1_score_type": 1798, |
| "embedding_synthesis_over_long_context::latency_full": 1799, |
| "embedding_synthesis_over_long_context::latency_merging_ms": 1800, |
| "embedding_synthesis_over_long_context::rss_score_7500tok_on_a100_gpu": 1801, |
| "emotion_analysis_regression::mae_original_scale_0-3": 1802, |
| "emotion_analysis_regression::pearson_correlation": 1803, |
| "emotion_analysis_regression::rmse_original_scale_0-3": 1804, |
| "emotion_classification::accuracy": 1805, |
| "emotion_classification::f1": 1806, |
| "emotion_classification::f1_macro": 1807, |
| "emotion_classification::f1_score_weighted": 1808, |
| "emotion_classification::f1_weighted": 1809, |
| "emotion_classification::precision": 1810, |
| "emotion_classification::recall": 1811, |
| "emotion_classification_in_czech::accuracy": 1812, |
| "emotion_classification_in_czech::f1_score_macro_avg": 1813, |
| "emotion_classification_in_czech::precision_macro_avg": 1814, |
| "emotion_classification_in_czech::recall_macro_avg": 1815, |
| "emotion_classification_in_german::accuracy": 1816, |
| "emotion_classification_in_german::f1_score_macro_avg": 1817, |
| "emotion_classification_in_german::precision_macro_avg": 1818, |
| "emotion_classification_in_german::recall_macro_avg": 1819, |
| "emotion_classification_in_hungarian::accuracy": 1820, |
| "emotion_classification_in_hungarian::f1_score_macro_avg": 1821, |
| "emotion_classification_in_hungarian::precision_macro_avg": 1822, |
| "emotion_classification_in_hungarian::recall_macro_avg": 1823, |
| "emotion_classification_in_polish::accuracy": 1824, |
| "emotion_classification_in_polish::f1_score_macro_avg": 1825, |
| "emotion_classification_in_polish::precision_macro_avg": 1826, |
| "emotion_classification_in_polish::recall_macro_avg": 1827, |
| "emotion_classification_in_slovak::accuracy": 1828, |
| "emotion_classification_in_slovak::f1_score_macro_avg": 1829, |
| "emotion_classification_in_slovak::precision_macro_avg": 1830, |
| "emotion_classification_in_slovak::recall_macro_avg": 1831, |
| "emotion_classifier::accuracy": 1832, |
| "emotion_detection::accuracy": 1833, |
| "emotion_detection::f1": 1834, |
| "emotion_detection::precision": 1835, |
| "emotion_detection::recall": 1836, |
| "emotion_entailment::f1neg": 1837, |
| "emotion_entailment::f1pos": 1838, |
| "emotion_entailment::macro_f1": 1839, |
| "emotion_interpretation::recall": 1840, |
| "emotion_recognition::accuracy": 1841, |
| "emotion_recognition::macro-f1": 1842, |
| "emotional_intelligence::eq-bench_score": 1843, |
| "end_of_turn_detection::accuracy": 1844, |
| "end_of_turn_detection::f1": 1845, |
| "end_of_turn_detection::precision": 1846, |
| "end_of_turn_detection::recall": 1847, |
| "energy_document_classification::roc-auc": 1848, |
| "energy_document_classification::test_accuracy": 1849, |
| "energy_document_classification::test_f1_score": 1850, |
| "energy_document_classification::test_precision": 1851, |
| "energy_document_classification::test_recall": 1852, |
| "english::accuracy": 1853, |
| "english::accuracy_norm": 1854, |
| "english::pass@1": 1855, |
| "english::pass@1_0-shot_cot": 1856, |
| "english_document_retrieval::map@10": 1857, |
| "english_document_retrieval::mrr@10": 1858, |
| "english_document_retrieval::ndcg@5": 1859, |
| "english_document_retrieval::recall@10": 1860, |
| "english_romanian::bleu": 1861, |
| "english_thai_translation_quality_assessment::spearman_correlation": 1862, |
| "english_thai_translation_quality_comparison::comet_baseline": 1863, |
| "english_thai_translation_quality_comparison::cometh_human-only": 1864, |
| "english_to_colloquial_tamil::bleu_score": 1865, |
| "english_to_colloquial_tamil::rouge_score": 1866, |
| "english_to_marathi_translation::bleu": 1867, |
| "english_to_marathi_translation::chrf++": 1868, |
| "english_to_marathi_translation::comet": 1869, |
| "english_ukrainian_translation::test_bleu": 1870, |
| "entity_disambiguation::micro_precision": 1871, |
| "entity_linking::micro-f1_strong": 1872, |
| "entity_linking::recall": 1873, |
| "entity_resolution::f1_%": 1874, |
| "entrepreneurial_readiness_low_medium_high::log_loss": 1875, |
| "entrepreneurial_readiness_low_medium_high::macro_f1": 1876, |
| "eq_bench::eqbench": 1877, |
| "eq_bench::percent_parseable": 1878, |
| "evaluation::aime": 1879, |
| "evaluation::aime_25": 1880, |
| "evaluation::artificial_analysis_coding_index": 1881, |
| "evaluation::artificial_analysis_intelligence_index": 1882, |
| "evaluation::artificial_analysis_math_index": 1883, |
| "evaluation::gpqa": 1884, |
| "evaluation::hle": 1885, |
| "evaluation::ifbench": 1886, |
| "evaluation::lcr": 1887, |
| "evaluation::livecodebench": 1888, |
| "evaluation::math_500": 1889, |
| "evaluation::mmlu_pro": 1890, |
| "evaluation::scicode": 1891, |
| "evaluation::tau2": 1892, |
| "evaluation::terminalbench_hard": 1893, |
| "event_based_object_segmentation::miou": 1894, |
| "exact_match": 1895, |
| "exact_match_em": 1896, |
| "exam::averageaccuracy": 1897, |
| "expert_routing::test_accuracy": 1898, |
| "expert_routing::validation_accuracy": 1899, |
| "explanation_generation::human_%": 1900, |
| "explanation_generation::human_explanation_rating": 1901, |
| "extractive_question_answering::bleu": 1902, |
| "extractive_question_answering::eval_em": 1903, |
| "extractive_question_answering::eval_exact": 1904, |
| "extractive_question_answering::eval_exactmatch_score_squad_metric": 1905, |
| "extractive_question_answering::eval_f1": 1906, |
| "extractive_question_answering::eval_f1_score_squad_metric": 1907, |
| "extractive_question_answering::hasans_exact": 1908, |
| "extractive_question_answering::hasans_f1": 1909, |
| "extractive_question_answering::hasans_total": 1910, |
| "extractive_question_answering::noans_exact": 1911, |
| "extractive_question_answering::noans_f1": 1912, |
| "extractive_question_answering::noans_total": 1913, |
| "extractive_question_answering::test_em": 1914, |
| "extractive_question_answering::test_f1": 1915, |
| "extractive_text_summarization::rouge_l": 1916, |
| "extreme_summarization::rouge-2": 1917, |
| "ezafe_detection::f1": 1918, |
| "f1": 1919, |
| "f_16_longitudinal_alpha_tracking::mae_alpha": 1920, |
| "f_16_longitudinal_alpha_tracking::max_error_alpha": 1921, |
| "f_16_longitudinal_alpha_tracking::rmse_alpha": 1922, |
| "f_16_longitudinal_alpha_tracking::settling_time_95%": 1923, |
| "face_anti_spoofing::accuracy": 1924, |
| "face_anti_spoofing::auc-roc": 1925, |
| "face_anti_spoofing::eer": 1926, |
| "face_anti_spoofing::f1-score": 1927, |
| "face_anti_spoofing::far": 1928, |
| "face_anti_spoofing::frr": 1929, |
| "face_anti_spoofing::precision_ppv": 1930, |
| "face_anti_spoofing::recall_tpr": 1931, |
| "face_anti_spoofing::specificity": 1932, |
| "face_detection::ap": 1933, |
| "face_recognition::accuracy": 1934, |
| "face_verification::accuracy": 1935, |
| "face_verification::tar@far=0.0001": 1936, |
| "facial_emotion_classification::accuracy": 1937, |
| "facial_stress_level_prediction::approximate_accuracy": 1938, |
| "facial_stress_level_prediction::mean_absolute_error": 1939, |
| "facial_stress_level_prediction::root_mean_squared_error": 1940, |
| "fact_checking::ndcg@10": 1941, |
| "fact_verification::accuracy": 1942, |
| "fact_verification::mae": 1943, |
| "fact_verification::mse": 1944, |
| "fact_verification::pearson_correlation": 1945, |
| "fact_verification::r2_score": 1946, |
| "fact_verification::rmse": 1947, |
| "fact_verification::spearman_correlation": 1948, |
| "factual_accuracy::score": 1949, |
| "factual_inconsistency_detection_in_chart_captioning::kendall's_tau-c": 1950, |
| "faithfulness_critic::accuracy": 1951, |
| "fake_news_classification_binary::accuracy": 1952, |
| "fake_news_classification_binary::f1": 1953, |
| "fake_news_detection::f1": 1954, |
| "fallacy_detection::accuracy": 1955, |
| "fallacy_detection::f1": 1956, |
| "fashion_visual_search::map_rn50": 1957, |
| "fashion_visual_search::map_vit-b/16": 1958, |
| "fashion_visual_search::rank-1_accuracy_rn50": 1959, |
| "fashion_visual_search::rank-1_accuracy_vit-b/16": 1960, |
| "feature_extraction::#_of_tokens": 1961, |
| "feature_extraction::0-shot": 1962, |
| "feature_extraction::1-shot": 1963, |
| "feature_extraction::1-shot_top-1": 1964, |
| "feature_extraction::10-shot": 1965, |
| "feature_extraction::1:1_accuracy": 1966, |
| "feature_extraction::25-shot": 1967, |
| "feature_extraction::3-5-shot": 1968, |
| "feature_extraction::3-shot": 1969, |
| "feature_extraction::3-shot_cot": 1970, |
| "feature_extraction::4-shot": 1971, |
| "feature_extraction::5-shot": 1972, |
| "feature_extraction::5-shot_maj@1": 1973, |
| "feature_extraction::5-shot_top-1": 1974, |
| "feature_extraction::8-shot": 1975, |
| "feature_extraction::acc.": 1976, |
| "feature_extraction::accent_acc": 1977, |
| "feature_extraction::accuracy": 1978, |
| "feature_extraction::accuracy@1": 1979, |
| "feature_extraction::accuracy@10": 1980, |
| "feature_extraction::accuracy@100": 1981, |
| "feature_extraction::accuracy_norm": 1982, |
| "feature_extraction::accuracy_stderr": 1983, |
| "feature_extraction::age_acc": 1984, |
| "feature_extraction::anls": 1985, |
| "feature_extraction::average": 1986, |
| "feature_extraction::avg._bleu": 1987, |
| "feature_extraction::avg_prompt/instruction_acc_loose/strict": 1988, |
| "feature_extraction::bleu": 1989, |
| "feature_extraction::bleu@1": 1990, |
| "feature_extraction::bleu@2": 1991, |
| "feature_extraction::bleu@3": 1992, |
| "feature_extraction::bleu@4": 1993, |
| "feature_extraction::category_clustering_main": 1994, |
| "feature_extraction::chrf": 1995, |
| "feature_extraction::cider": 1996, |
| "feature_extraction::citation_classification": 1997, |
| "feature_extraction::cosine_accuracy": 1998, |
| "feature_extraction::cosine_similarity": 1999, |
| "feature_extraction::cot": 2000, |
| "feature_extraction::em_maj1@1": 2001, |
| "feature_extraction::eval_time": 2002, |
| "feature_extraction::exact_match": 2003, |
| "feature_extraction::f1": 2004, |
| "feature_extraction::f1-score": 2005, |
| "feature_extraction::few-shot": 2006, |
| "feature_extraction::final_em": 2007, |
| "feature_extraction::g": 2008, |
| "feature_extraction::gender_acc": 2009, |
| "feature_extraction::imagenet_acc.": 2010, |
| "feature_extraction::imagenet_dist._shift.": 2011, |
| "feature_extraction::improvement": 2012, |
| "feature_extraction::information_retrieval": 2013, |
| "feature_extraction::longbook_choice/acc": 2014, |
| "feature_extraction::longbook_qa/f1": 2015, |
| "feature_extraction::loss": 2016, |
| "feature_extraction::macro_avg/acc": 2017, |
| "feature_extraction::macs_image+text_g": 2018, |
| "feature_extraction::maj@1": 2019, |
| "feature_extraction::map@10": 2020, |
| "feature_extraction::max_accuracy": 2021, |
| "feature_extraction::mc1_accuracy": 2022, |
| "feature_extraction::mc1_accuracy_stderr": 2023, |
| "feature_extraction::mc2_accuracy": 2024, |
| "feature_extraction::mc2_accuracy_stderr": 2025, |
| "feature_extraction::mcc": 2026, |
| "feature_extraction::mean_accuracy": 2027, |
| "feature_extraction::mean_ru": 2028, |
| "feature_extraction::micro_avg/rougel": 2029, |
| "feature_extraction::mrr@10": 2030, |
| "feature_extraction::ndcg": 2031, |
| "feature_extraction::ndcg@10": 2032, |
| "feature_extraction::normalized_accuracy_stderr": 2033, |
| "feature_extraction::number_of_tokens": 2034, |
| "feature_extraction::partial_score": 2035, |
| "feature_extraction::pass@1": 2036, |
| "feature_extraction::pass@32": 2037, |
| "feature_extraction::pearson": 2038, |
| "feature_extraction::pearsonr_dynamic_8b": 2039, |
| "feature_extraction::pearsonr_onnx": 2040, |
| "feature_extraction::pearsonr_optimized": 2041, |
| "feature_extraction::pearsonr_static_8b": 2042, |
| "feature_extraction::performance_semantic_search_6_datasets": 2043, |
| "feature_extraction::performance_sentence_embeddings_14_datasets": 2044, |
| "feature_extraction::pre@10": 2045, |
| "feature_extraction::precision@3": 2046, |
| "feature_extraction::r-1_f1": 2047, |
| "feature_extraction::r-2_f1": 2048, |
| "feature_extraction::r-l_f1": 2049, |
| "feature_extraction::r@1": 2050, |
| "feature_extraction::recall": 2051, |
| "feature_extraction::recall@10": 2052, |
| "feature_extraction::recall@100": 2053, |
| "feature_extraction::score": 2054, |
| "feature_extraction::sequences": 2055, |
| "feature_extraction::spearman": 2056, |
| "feature_extraction::spearman_correlation": 2057, |
| "feature_extraction::spearman_main_score": 2058, |
| "feature_extraction::spearmanr_dynamic_8b": 2059, |
| "feature_extraction::spearmanr_onnx": 2060, |
| "feature_extraction::spearmanr_optimized": 2061, |
| "feature_extraction::spearmanr_static_8b": 2062, |
| "feature_extraction::top-1": 2063, |
| "feature_extraction::unique_preference_rate": 2064, |
| "feature_extraction::val_pass@1": 2065, |
| "feature_extraction::vtab": 2066, |
| "feature_extraction::wer": 2067, |
| "feature_extraction::word_error_rate": 2068, |
| "feedback_classification::accuracy": 2069, |
| "feedback_classification::f1_macro": 2070, |
| "few_shot_image_classification::accuracy": 2071, |
| "few_shot_image_classification::top_1_accuracy": 2072, |
| "few_shot_ner::10-way_1~2-shot": 2073, |
| "few_shot_ner::10-way_5~10-shot": 2074, |
| "few_shot_ner::5-way_5~10-shot": 2075, |
| "few_shot_ner::5_way_1~2_shot": 2076, |
| "few_shot_object_detection::average_score": 2077, |
| "few_shot_semantic_segmentation::mean_iou": 2078, |
| "few_shot_text_classification::ade": 2079, |
| "fewshot_translation::sacrebleu": 2080, |
| "fiction_vs_non_fiction_classification::f1": 2081, |
| "fiction_vs_non_fiction_classification::roc_auc": 2082, |
| "fiction_vs_non_fiction_classification::validation_accuracy": 2083, |
| "field_classification::test_accuracy": 2084, |
| "field_classification::train_accuracy": 2085, |
| "field_classification::validation_accuracy": 2086, |
| "fill_mask::acc.": 2087, |
| "fill_mask::accuracy": 2088, |
| "fill_mask::accuracy_score": 2089, |
| "fill_mask::batch_size": 2090, |
| "fill_mask::classifier_dropout": 2091, |
| "fill_mask::embedding_dropout": 2092, |
| "fill_mask::f1": 2093, |
| "fill_mask::f1-score": 2094, |
| "fill_mask::last_k_layers": 2095, |
| "fill_mask::localization": 2096, |
| "fill_mask::loss": 2097, |
| "fill_mask::mcc": 2098, |
| "fill_mask::membrane": 2099, |
| "fill_mask::mlm_accuracy": 2100, |
| "fill_mask::perplexity": 2101, |
| "fill_mask::perplexity_wip": 2102, |
| "fill_mask::pooling_attention_dropout": 2103, |
| "fill_mask::precision": 2104, |
| "fill_mask::recall": 2105, |
| "fill_mask::secondary_structure_3-states": 2106, |
| "fill_mask::secondary_structure_8-states": 2107, |
| "fill_mask::sequences": 2108, |
| "fill_mask::spearman's_ρ": 2109, |
| "financial_advisory_generation::bleu_improvement": 2110, |
| "financial_advisory_generation::rouge-1_improvement": 2111, |
| "financial_advisory_generation::rouge-2_improvement": 2112, |
| "financial_advisory_generation::rouge-l_improvement": 2113, |
| "financial_compliance::mrr_baseline": 2114, |
| "financial_compliance::mrr_with_instructions": 2115, |
| "financial_sentiment_analysis::accuracy": 2116, |
| "financial_sentiment_analysis::f1": 2117, |
| "financial_transaction_classification::accuracy": 2118, |
| "financial_transaction_classification::f1": 2119, |
| "financial_tweet_prediction::perplexity": 2120, |
| "fine_grained_image_classification::accuracy": 2121, |
| "fine_grained_image_classification::accuracy_%": 2122, |
| "fine_grained_image_classification::top-1_error_rate": 2123, |
| "flores_ca::bleu": 2124, |
| "flue::accuracy": 2125, |
| "formal_language_correction::accuracy": 2126, |
| "formal_language_correction::rouge1": 2127, |
| "formal_language_correction::training_loss": 2128, |
| "formal_logic::accuracy": 2129, |
| "fquad::extact_match": 2130, |
| "fquad::f1": 2131, |
| "full_reconstruction_100::character_accuracy": 2132, |
| "full_reconstruction_100::word_accuracy": 2133, |
| "function_calling::accuracy": 2134, |
| "function_calling::function_call_accuracy": 2135, |
| "function_calling::weighted_f1-score": 2136, |
| "function_calling::weighted_precision": 2137, |
| "function_calling::weighted_recall": 2138, |
| "gender_classification::accuracy": 2139, |
| "gender_classification::age_mae_years": 2140, |
| "gender_classification::f1_score_weighted": 2141, |
| "gender_classification::gender_accuracy": 2142, |
| "general::macro_avg/acc": 2143, |
| "general::pass@1": 2144, |
| "general_domains::accuracy": 2145, |
| "general_knowledge::accuracy": 2146, |
| "general_knowledge::cot_acc": 2147, |
| "general_knowledge::cot_em": 2148, |
| "general_multimodal::accuracy": 2149, |
| "general_qa::accuracy": 2150, |
| "general_reasoning::accuracy": 2151, |
| "general_reasoning::f1": 2152, |
| "general_reasoning::precision": 2153, |
| "general_writing::accuracy": 2154, |
| "generation_tasks::accuracy": 2155, |
| "generative_3d_object_classification::modelnet40_average": 2156, |
| "generative_3d_object_classification::objaverse_average": 2157, |
| "generative_visual_question_answering::bleu-1": 2158, |
| "germanstsbenchmark::accuracy": 2159, |
| "germanstsbenchmark::pearson": 2160, |
| "germanstsbenchmark::pearson_correlation": 2161, |
| "get_answer::exact_match": 2162, |
| "gibberish_detection::accuracy": 2163, |
| "gibberish_detection::f1": 2164, |
| "global_mmlu_lite::accuracy": 2165, |
| "gpu_kernel_generation::correctness": 2166, |
| "gpu_kernel_generation::fast_1": 2167, |
| "graded_ir::cosine_accuracy@1": 2168, |
| "graded_ir::cosine_accuracy@10": 2169, |
| "graded_ir::cosine_accuracy@3": 2170, |
| "graded_ir::cosine_accuracy@5": 2171, |
| "graded_ir::cosine_map@10": 2172, |
| "graded_ir::cosine_map@100": 2173, |
| "graded_ir::cosine_mrr@1": 2174, |
| "graded_ir::cosine_mrr@10": 2175, |
| "graded_ir::cosine_mrr@5": 2176, |
| "graded_ir::cosine_ndcg@10": 2177, |
| "graded_ir::cosine_ndcg@5": 2178, |
| "graded_ir::cosine_precision@1": 2179, |
| "graded_ir::cosine_precision@10": 2180, |
| "graded_ir::cosine_precision@3": 2181, |
| "graded_ir::cosine_precision@5": 2182, |
| "graded_ir::cosine_recall@1": 2183, |
| "graded_ir::cosine_recall@10": 2184, |
| "graded_ir::cosine_recall@3": 2185, |
| "graded_ir::cosine_recall@5": 2186, |
| "grammar_classification::accuracy": 2187, |
| "grammatical_error_correction::f0.5": 2188, |
| "graph_classification::accuracy": 2189, |
| "graph_classification::roc-auc": 2190, |
| "graph_property_prediction::number_of_params": 2191, |
| "graph_regression::mae": 2192, |
| "gsgsm8k::accuracy": 2193, |
| "gsm8k::accuracy": 2194, |
| "gsm8k::exact_match_flexible-extract": 2195, |
| "gsm8k::exact_match_strict": 2196, |
| "gsm8k::exact_match_strict-match": 2197, |
| "gsm8k::korean_response_ratio": 2198, |
| "gsm8k::score": 2199, |
| "gsm8k::think_step_length": 2200, |
| "gsm8k_mathematical_reasoning::exact_match_flexible": 2201, |
| "gsm8k_mathematical_reasoning::exact_match_strict": 2202, |
| "gsm8k_style_problems::proficiency_score": 2203, |
| "haerae::accuracy_norm": 2204, |
| "hallucination_detection::example-level_f1": 2205, |
| "hallucination_detection::example_f1": 2206, |
| "hallucination_detection::token-level_f1": 2207, |
| "hallucination_detection::token_f1": 2208, |
| "handwritten_text_recognition::cer": 2209, |
| "handwritten_text_recognition::test_cer": 2210, |
| "handwritten_text_recognition::test_wer": 2211, |
| "hanoi_tower_puzzle::success_rate": 2212, |
| "hanoi_tower_puzzle_subtask_based::success_rate": 2213, |
| "hate_not_hate_classification::accuracy": 2214, |
| "hate_not_hate_classification::macro-f1": 2215, |
| "hate_speech_classification::accuracy": 2216, |
| "hate_speech_classification::macro_f1": 2217, |
| "hate_speech_detection::accuracy": 2218, |
| "hate_speech_detection::f1": 2219, |
| "hate_speech_detection::f1-score": 2220, |
| "hate_speech_detection::f1_macro": 2221, |
| "hate_speech_detection::f1_micro": 2222, |
| "hate_speech_detection::macro-f1": 2223, |
| "hate_speech_detection::macro-precision": 2224, |
| "hate_speech_detection::macro-recall": 2225, |
| "hate_speech_detection::roc-auc_macro": 2226, |
| "hate_speech_detection::weighted-f1": 2227, |
| "hate_speech_span_detection::exact_match": 2228, |
| "hate_speech_span_detection::f1": 2229, |
| "hate_speech_span_detection::precision": 2230, |
| "hate_speech_span_detection::recall": 2231, |
| "head_pose_recognition_facing::accuracy": 2232, |
| "head_pose_recognition_facing::val_acc": 2233, |
| "head_pose_recognition_tilt::accuracy": 2234, |
| "head_pose_recognition_tilt::val_acc": 2235, |
| "head_pose_recognition_up_down::accuracy": 2236, |
| "head_pose_recognition_up_down::val_acc": 2237, |
| "health_aware_recipe_generation::average_reward_live": 2238, |
| "health_aware_recipe_generation::average_reward_stress": 2239, |
| "health_aware_recipe_generation::overall_satisfaction_live": 2240, |
| "health_aware_recipe_generation::overall_satisfaction_stress": 2241, |
| "health_coaching::expert_effectiveness_score": 2242, |
| "health_coaching::human_preference_rate": 2243, |
| "health_coaching::stage_match_score": 2244, |
| "hellaswag::accuracy": 2245, |
| "hellaswag::accuracy_norm": 2246, |
| "hellaswag::score": 2247, |
| "hellaswag_contextual_completions::accuracy": 2248, |
| "high_school_computer_science::accuracy": 2249, |
| "high_school_mathematics::accuracy": 2250, |
| "histopathologic_cancer_detection::accuracy": 2251, |
| "histopathologic_cancer_detection::auc-roc": 2252, |
| "histopathologic_cancer_detection::f1-score": 2253, |
| "histopathologic_cancer_detection::precision": 2254, |
| "histopathologic_cancer_detection::recall": 2255, |
| "historic_text_normalization_type_level::word_accuracy": 2256, |
| "historic_text_normalization_type_level::word_accuracy_oov": 2257, |
| "hle_math::accuracy": 2258, |
| "hourvideo::accuracy": 2259, |
| "hswag::accuracy": 2260, |
| "human_instance_segmentation::ap": 2261, |
| "human_vs_ai_text_classification::accuracy": 2262, |
| "human_vs_ai_text_classification::f1": 2263, |
| "human_vs_ai_text_classification::precision": 2264, |
| "human_vs_ai_text_classification::recall": 2265, |
| "human_vs_ai_text_classification::step_best_checkpoint": 2266, |
| "human_vs_ai_text_classification::validation_loss_best": 2267, |
| "human_vs_ai_text_detection::accuracy": 2268, |
| "human_vs_ai_text_detection::f1": 2269, |
| "humaneval::pass@1": 2270, |
| "humor_detection::f1-score": 2271, |
| "iac_generation::dapo_accuracy": 2272, |
| "iac_generation::grpo_accuracy": 2273, |
| "idea_difficulty_low_medium_high::accuracy": 2274, |
| "idea_difficulty_low_medium_high::log_loss": 2275, |
| "idea_difficulty_low_medium_high::macro_f1": 2276, |
| "if::pass@1": 2277, |
| "image_captioning::b1": 2278, |
| "image_captioning::bertscore": 2279, |
| "image_captioning::bertscore_f1": 2280, |
| "image_captioning::bleu-4": 2281, |
| "image_captioning::bleu@4": 2282, |
| "image_captioning::chair_i": 2283, |
| "image_captioning::cider": 2284, |
| "image_captioning::cider-d": 2285, |
| "image_captioning::clip-s": 2286, |
| "image_captioning::clipscore": 2287, |
| "image_captioning::meteor": 2288, |
| "image_captioning::prediction_success_rate": 2289, |
| "image_captioning::rouge_l": 2290, |
| "image_captioning::spice": 2291, |
| "image_captioning::traffic_vocabulary_coverage": 2292, |
| "image_classification::#_params_m": 2293, |
| "image_classification::#_params_m_img": 2294, |
| "image_classification::#_params_m_img+txt": 2295, |
| "image_classification::#_params_m_txt": 2296, |
| "image_classification::#_seen_samples_b": 2297, |
| "image_classification::accuracy": 2298, |
| "image_classification::accuracy_%": 2299, |
| "image_classification::accuracy_top-1": 2300, |
| "image_classification::accuracy_top-5": 2301, |
| "image_classification::accuray": 2302, |
| "image_classification::auc": 2303, |
| "image_classification::average_precision": 2304, |
| "image_classification::average_roc_auc": 2305, |
| "image_classification::average_top-1_accuracy": 2306, |
| "image_classification::avg._perf._%_on_38_datasets": 2307, |
| "image_classification::cda": 2308, |
| "image_classification::error_rate": 2309, |
| "image_classification::f1": 2310, |
| "image_classification::f1-macro": 2311, |
| "image_classification::f1-score": 2312, |
| "image_classification::f1-score_macro": 2313, |
| "image_classification::f1_macro": 2314, |
| "image_classification::f1_micro": 2315, |
| "image_classification::f1_score_macro": 2316, |
| "image_classification::f1_weighted": 2317, |
| "image_classification::fake_acc": 2318, |
| "image_classification::gflops": 2319, |
| "image_classification::in-1k_zero-shot_top-1_acc._%": 2320, |
| "image_classification::inference-latency_ms/sample": 2321, |
| "image_classification::inference_speed_sec": 2322, |
| "image_classification::latency_ms_img": 2323, |
| "image_classification::latency_ms_img+txt": 2324, |
| "image_classification::latency_ms_txt": 2325, |
| "image_classification::log_loss": 2326, |
| "image_classification::loss": 2327, |
| "image_classification::macro-f1": 2328, |
| "image_classification::macro_f1": 2329, |
| "image_classification::macro_f1-score": 2330, |
| "image_classification::mae": 2331, |
| "image_classification::map": 2332, |
| "image_classification::map50": 2333, |
| "image_classification::matthews_correlation": 2334, |
| "image_classification::mean_p_ai": 2335, |
| "image_classification::memory_reduction_vs_fp32_baseline_%": 2336, |
| "image_classification::model-parameters-reduction_%": 2337, |
| "image_classification::overall": 2338, |
| "image_classification::overall_accuracy": 2339, |
| "image_classification::params_m_img": 2340, |
| "image_classification::params_m_txt": 2341, |
| "image_classification::percentage_correct": 2342, |
| "image_classification::percentage_error": 2343, |
| "image_classification::prec@1": 2344, |
| "image_classification::precision": 2345, |
| "image_classification::precision_macro": 2346, |
| "image_classification::precision_micro": 2347, |
| "image_classification::precision_weighted": 2348, |
| "image_classification::real_acc": 2349, |
| "image_classification::recall": 2350, |
| "image_classification::recall_macro": 2351, |
| "image_classification::recall_micro": 2352, |
| "image_classification::recall_weighted": 2353, |
| "image_classification::samples": 2354, |
| "image_classification::seen_samples_b": 2355, |
| "image_classification::specificity": 2356, |
| "image_classification::speedup_vs_fp32_baseline_x": 2357, |
| "image_classification::test_accuracy": 2358, |
| "image_classification::test_f1_score_weighted": 2359, |
| "image_classification::top-1": 2360, |
| "image_classification::top-1_acc._%": 2361, |
| "image_classification::top-1_accuracy": 2362, |
| "image_classification::top-1_accuracy_%": 2363, |
| "image_classification::top-3-accuracy": 2364, |
| "image_classification::top-3_accuracy": 2365, |
| "image_classification::top-5_accuracy": 2366, |
| "image_classification::top1_acc": 2367, |
| "image_classification::top_1_accuracy": 2368, |
| "image_classification::top_1_accuracy_dynamic_quantized_wi8_afp32": 2369, |
| "image_classification::top_1_accuracy_full_precision": 2370, |
| "image_classification::top_5_accuracy": 2371, |
| "image_classification::top_5_accuracy_dynamic_quantized_wi8_afp32": 2372, |
| "image_classification::top_5_accuracy_full_precision": 2373, |
| "image_classification::train_accuracy": 2374, |
| "image_classification::train_loss": 2375, |
| "image_classification::val_f1_score": 2376, |
| "image_classification::validation_accuracy": 2377, |
| "image_classification::validation_accuracy_subset_experiment": 2378, |
| "image_classification::validation_loss": 2379, |
| "image_classification::validation_loss_subset_experiment": 2380, |
| "image_classification::wacc": 2381, |
| "image_classification::zero-shot_clip_accuracy": 2382, |
| "image_classification::zero-shot_precision": 2383, |
| "image_classification::zero-shot_recall": 2384, |
| "image_classification::zero-shot_top-1_acc._%": 2385, |
| "image_clustering::ari": 2386, |
| "image_clustering::nmi": 2387, |
| "image_deblurring::psnr": 2388, |
| "image_dehazing::psnr": 2389, |
| "image_description::lpips_score": 2390, |
| "image_description::psnr": 2391, |
| "image_description::ssim": 2392, |
| "image_document_retrieval::ndcg@5": 2393, |
| "image_generation::biology": 2394, |
| "image_generation::fid": 2395, |
| "image_generation::fid_flexvar-d16_+sar": 2396, |
| "image_generation::fid_flexvar-d20_+sar": 2397, |
| "image_generation::fid_flexvar-d24_+sar": 2398, |
| "image_inpainting::10-20%_mask_psnr": 2399, |
| "image_manipulation_detection::auc": 2400, |
| "image_manipulation_localization::average_pixel_f1_fixed_threshold": 2401, |
| "image_matching::mean_auc@5°": 2402, |
| "image_matting::conn": 2403, |
| "image_matting::conn.": 2404, |
| "image_matting::mad": 2405, |
| "image_outpainting::block-fid_right_extend": 2406, |
| "image_reconstruction::fid": 2407, |
| "image_reconstruction::psnr": 2408, |
| "image_registration::dsc": 2409, |
| "image_restoration::average_psnr_db": 2410, |
| "image_retrieval::map": 2411, |
| "image_retrieval::mean_recall": 2412, |
| "image_retrieval::r-precision": 2413, |
| "image_retrieval::r1": 2414, |
| "image_retrieval::r@1": 2415, |
| "image_retrieval::recall@1": 2416, |
| "image_retrieval::recall@1_%": 2417, |
| "image_retrieval::recall@1_hn-atom_uc": 2418, |
| "image_segmentation::accuracy": 2419, |
| "image_segmentation::ap@_.5": 2420, |
| "image_segmentation::ap@_.5_.95": 2421, |
| "image_segmentation::ap@_.75": 2422, |
| "image_segmentation::auc": 2423, |
| "image_segmentation::detection_rate": 2424, |
| "image_segmentation::dice-score": 2425, |
| "image_segmentation::dice_score": 2426, |
| "image_segmentation::f1": 2427, |
| "image_segmentation::f1-score_dice_coefficient": 2428, |
| "image_segmentation::f1_score_weighted": 2429, |
| "image_segmentation::fw_iou": 2430, |
| "image_segmentation::iou": 2431, |
| "image_segmentation::iou_jaccard_index": 2432, |
| "image_segmentation::iou_score": 2433, |
| "image_segmentation::map@0.5_box": 2434, |
| "image_segmentation::map@0.5_mask": 2435, |
| "image_segmentation::maxfm": 2436, |
| "image_segmentation::mcc": 2437, |
| "image_segmentation::mean_iou": 2438, |
| "image_segmentation::miou": 2439, |
| "image_segmentation::miou_after_lora": 2440, |
| "image_segmentation::miou_before_lora": 2441, |
| "image_segmentation::miouparts": 2442, |
| "image_segmentation::p": 2443, |
| "image_segmentation::precision": 2444, |
| "image_segmentation::r": 2445, |
| "image_segmentation::recall": 2446, |
| "image_segmentation::sen": 2447, |
| "image_similarity::cosine_similarity_score": 2448, |
| "image_super_resolution::psnr": 2449, |
| "image_text_retrieval::image-to-text_r@1": 2450, |
| "image_text_retrieval::image-to-text_r@10": 2451, |
| "image_text_retrieval::image-to-text_r@5": 2452, |
| "image_text_retrieval::r@1": 2453, |
| "image_text_to_text::0-shot": 2454, |
| "image_text_to_text::1-shot": 2455, |
| "image_text_to_text::10-shot": 2456, |
| "image_text_to_text::25-shot": 2457, |
| "image_text_to_text::3-5-shot": 2458, |
| "image_text_to_text::3-shot": 2459, |
| "image_text_to_text::4-shot": 2460, |
| "image_text_to_text::5-shot": 2461, |
| "image_text_to_text::8-shot": 2462, |
| "image_text_to_text::accuracy": 2463, |
| "image_text_to_text::accuracy_%": 2464, |
| "image_text_to_text::accuracy_norm": 2465, |
| "image_text_to_text::all": 2466, |
| "image_text_to_text::anls": 2467, |
| "image_text_to_text::average_score": 2468, |
| "image_text_to_text::average_score_on_11_academic_benchmarks": 2469, |
| "image_text_to_text::average_score_on_15_academic_benchmarks": 2470, |
| "image_text_to_text::elo_rating": 2471, |
| "image_text_to_text::exact_match": 2472, |
| "image_text_to_text::f1": 2473, |
| "image_text_to_text::few-shot": 2474, |
| "image_text_to_text::human_preference_elo_rating": 2475, |
| "image_text_to_text::pass@1": 2476, |
| "image_text_to_text::question_pair_acc": 2477, |
| "image_text_to_text::rank_128-dim": 2478, |
| "image_text_to_text::score": 2479, |
| "image_text_to_text::sensitivity": 2480, |
| "image_text_to_text::specificity": 2481, |
| "image_text_to_text::sr": 2482, |
| "image_text_to_text::tm": 2483, |
| "image_text_to_text::truthfulqa_0-shot": 2484, |
| "image_text_to_text::val_pass@1": 2485, |
| "image_to_image::score": 2486, |
| "image_to_image_translation::miou": 2487, |
| "image_to_image_translation::miou_13_classes": 2488, |
| "image_to_text::accuracy": 2489, |
| "image_to_text::average_accuracy": 2490, |
| "image_to_text::average_score_on_15_academic_benchmarks": 2491, |
| "image_to_text::character-level_accuracy": 2492, |
| "image_to_text::character_error_rate_cer": 2493, |
| "image_to_text::exact_match_accuracy": 2494, |
| "image_to_text::fuzzy_score": 2495, |
| "image_to_text::gen_len": 2496, |
| "image_to_text::loss": 2497, |
| "image_to_text::normalized_levenshtein_distance": 2498, |
| "image_to_text::rouge-1": 2499, |
| "image_to_text::rouge-2": 2500, |
| "image_to_text::rouge-lsum": 2501, |
| "image_to_text::rouge_l": 2502, |
| "image_to_text::success_rate": 2503, |
| "image_to_text::token-level_jaccard_similarity": 2504, |
| "image_to_text::word_error_rate_wer": 2505, |
| "image_to_text_retrieval::recall@10": 2506, |
| "image_to_text_retrieval::specificity": 2507, |
| "imageclassification::accuracy": 2508, |
| "imageclassification::loss": 2509, |
| "imitation_policy_evaluation::train_mse": 2510, |
| "in_context_reinforcement_learning::normalized_score_iqm_95%_ci": 2511, |
| "incremental_learning::average_incremental_accuracy": 2512, |
| "indic_nli::#samples": 2513, |
| "indic_nli::accuracy": 2514, |
| "indic_nli::f1": 2515, |
| "indic_paraphrase::#samples": 2516, |
| "indic_paraphrase::accuracy": 2517, |
| "indic_paraphrase::f1": 2518, |
| "indic_paraphrase::precision": 2519, |
| "indic_qa_evaluation::#samples": 2520, |
| "indic_qa_evaluation::f1": 2521, |
| "indic_qa_evaluation::precision": 2522, |
| "indic_qa_evaluation::recall": 2523, |
| "indic_sentiment_analysis::#samples": 2524, |
| "indic_sentiment_analysis::accuracy": 2525, |
| "indic_sentiment_analysis::f1": 2526, |
| "industrial_quality_control::average_latency_ms": 2527, |
| "industrial_quality_control::classification_accuracy": 2528, |
| "industrial_quality_control::qc_decision_accuracy": 2529, |
| "information_retrieval::cos_sim_accuracy@1": 2530, |
| "information_retrieval::cos_sim_accuracy@10": 2531, |
| "information_retrieval::cos_sim_accuracy@3": 2532, |
| "information_retrieval::cos_sim_accuracy@5": 2533, |
| "information_retrieval::cos_sim_map@100": 2534, |
| "information_retrieval::cos_sim_mrr@10": 2535, |
| "information_retrieval::cos_sim_ndcg@10": 2536, |
| "information_retrieval::cos_sim_precision@1": 2537, |
| "information_retrieval::cos_sim_precision@10": 2538, |
| "information_retrieval::cos_sim_precision@3": 2539, |
| "information_retrieval::cos_sim_precision@5": 2540, |
| "information_retrieval::cos_sim_recall@1": 2541, |
| "information_retrieval::cos_sim_recall@10": 2542, |
| "information_retrieval::cos_sim_recall@3": 2543, |
| "information_retrieval::cos_sim_recall@5": 2544, |
| "information_retrieval::cosine_accuracy@1": 2545, |
| "information_retrieval::cosine_accuracy@10": 2546, |
| "information_retrieval::cosine_accuracy@100": 2547, |
| "information_retrieval::cosine_accuracy@1000": 2548, |
| "information_retrieval::cosine_accuracy@12": 2549, |
| "information_retrieval::cosine_accuracy@15": 2550, |
| "information_retrieval::cosine_accuracy@150": 2551, |
| "information_retrieval::cosine_accuracy@2": 2552, |
| "information_retrieval::cosine_accuracy@20": 2553, |
| "information_retrieval::cosine_accuracy@200": 2554, |
| "information_retrieval::cosine_accuracy@25": 2555, |
| "information_retrieval::cosine_accuracy@3": 2556, |
| "information_retrieval::cosine_accuracy@30": 2557, |
| "information_retrieval::cosine_accuracy@300": 2558, |
| "information_retrieval::cosine_accuracy@5": 2559, |
| "information_retrieval::cosine_accuracy@50": 2560, |
| "information_retrieval::cosine_accuracy@500": 2561, |
| "information_retrieval::cosine_accuracy@7": 2562, |
| "information_retrieval::cosine_map@1": 2563, |
| "information_retrieval::cosine_map@10": 2564, |
| "information_retrieval::cosine_map@100": 2565, |
| "information_retrieval::cosine_map@1000": 2566, |
| "information_retrieval::cosine_map@12": 2567, |
| "information_retrieval::cosine_map@150": 2568, |
| "information_retrieval::cosine_map@20": 2569, |
| "information_retrieval::cosine_map@200": 2570, |
| "information_retrieval::cosine_map@25": 2571, |
| "information_retrieval::cosine_map@3": 2572, |
| "information_retrieval::cosine_map@300": 2573, |
| "information_retrieval::cosine_map@5": 2574, |
| "information_retrieval::cosine_map@50": 2575, |
| "information_retrieval::cosine_map@500": 2576, |
| "information_retrieval::cosine_mrr@1": 2577, |
| "information_retrieval::cosine_mrr@10": 2578, |
| "information_retrieval::cosine_mrr@100": 2579, |
| "information_retrieval::cosine_mrr@1000": 2580, |
| "information_retrieval::cosine_mrr@150": 2581, |
| "information_retrieval::cosine_mrr@2": 2582, |
| "information_retrieval::cosine_mrr@20": 2583, |
| "information_retrieval::cosine_mrr@200": 2584, |
| "information_retrieval::cosine_mrr@25": 2585, |
| "information_retrieval::cosine_mrr@3": 2586, |
| "information_retrieval::cosine_mrr@30": 2587, |
| "information_retrieval::cosine_mrr@300": 2588, |
| "information_retrieval::cosine_mrr@5": 2589, |
| "information_retrieval::cosine_mrr@50": 2590, |
| "information_retrieval::cosine_mrr@500": 2591, |
| "information_retrieval::cosine_ndcg@1": 2592, |
| "information_retrieval::cosine_ndcg@10": 2593, |
| "information_retrieval::cosine_ndcg@100": 2594, |
| "information_retrieval::cosine_ndcg@1000": 2595, |
| "information_retrieval::cosine_ndcg@15": 2596, |
| "information_retrieval::cosine_ndcg@150": 2597, |
| "information_retrieval::cosine_ndcg@20": 2598, |
| "information_retrieval::cosine_ndcg@200": 2599, |
| "information_retrieval::cosine_ndcg@25": 2600, |
| "information_retrieval::cosine_ndcg@3": 2601, |
| "information_retrieval::cosine_ndcg@30": 2602, |
| "information_retrieval::cosine_ndcg@300": 2603, |
| "information_retrieval::cosine_ndcg@5": 2604, |
| "information_retrieval::cosine_ndcg@50": 2605, |
| "information_retrieval::cosine_ndcg@500": 2606, |
| "information_retrieval::cosine_ndcg@7": 2607, |
| "information_retrieval::cosine_precision@1": 2608, |
| "information_retrieval::cosine_precision@10": 2609, |
| "information_retrieval::cosine_precision@100": 2610, |
| "information_retrieval::cosine_precision@1000": 2611, |
| "information_retrieval::cosine_precision@12": 2612, |
| "information_retrieval::cosine_precision@15": 2613, |
| "information_retrieval::cosine_precision@150": 2614, |
| "information_retrieval::cosine_precision@2": 2615, |
| "information_retrieval::cosine_precision@20": 2616, |
| "information_retrieval::cosine_precision@200": 2617, |
| "information_retrieval::cosine_precision@25": 2618, |
| "information_retrieval::cosine_precision@3": 2619, |
| "information_retrieval::cosine_precision@30": 2620, |
| "information_retrieval::cosine_precision@300": 2621, |
| "information_retrieval::cosine_precision@5": 2622, |
| "information_retrieval::cosine_precision@50": 2623, |
| "information_retrieval::cosine_precision@500": 2624, |
| "information_retrieval::cosine_precision@7": 2625, |
| "information_retrieval::cosine_recall@1": 2626, |
| "information_retrieval::cosine_recall@10": 2627, |
| "information_retrieval::cosine_recall@100": 2628, |
| "information_retrieval::cosine_recall@1000": 2629, |
| "information_retrieval::cosine_recall@12": 2630, |
| "information_retrieval::cosine_recall@15": 2631, |
| "information_retrieval::cosine_recall@150": 2632, |
| "information_retrieval::cosine_recall@2": 2633, |
| "information_retrieval::cosine_recall@20": 2634, |
| "information_retrieval::cosine_recall@200": 2635, |
| "information_retrieval::cosine_recall@25": 2636, |
| "information_retrieval::cosine_recall@3": 2637, |
| "information_retrieval::cosine_recall@30": 2638, |
| "information_retrieval::cosine_recall@300": 2639, |
| "information_retrieval::cosine_recall@5": 2640, |
| "information_retrieval::cosine_recall@50": 2641, |
| "information_retrieval::cosine_recall@500": 2642, |
| "information_retrieval::cosine_recall@7": 2643, |
| "information_retrieval::dot_accuracy@1": 2644, |
| "information_retrieval::dot_accuracy@10": 2645, |
| "information_retrieval::dot_accuracy@100": 2646, |
| "information_retrieval::dot_accuracy@2": 2647, |
| "information_retrieval::dot_accuracy@3": 2648, |
| "information_retrieval::dot_accuracy@30": 2649, |
| "information_retrieval::dot_accuracy@5": 2650, |
| "information_retrieval::dot_accuracy@50": 2651, |
| "information_retrieval::dot_map@10": 2652, |
| "information_retrieval::dot_map@100": 2653, |
| "information_retrieval::dot_map@60": 2654, |
| "information_retrieval::dot_mrr@1": 2655, |
| "information_retrieval::dot_mrr@10": 2656, |
| "information_retrieval::dot_mrr@100": 2657, |
| "information_retrieval::dot_mrr@2": 2658, |
| "information_retrieval::dot_mrr@200": 2659, |
| "information_retrieval::dot_mrr@5": 2660, |
| "information_retrieval::dot_ndcg@1": 2661, |
| "information_retrieval::dot_ndcg@10": 2662, |
| "information_retrieval::dot_ndcg@100": 2663, |
| "information_retrieval::dot_ndcg@5": 2664, |
| "information_retrieval::dot_precision@1": 2665, |
| "information_retrieval::dot_precision@10": 2666, |
| "information_retrieval::dot_precision@100": 2667, |
| "information_retrieval::dot_precision@2": 2668, |
| "information_retrieval::dot_precision@3": 2669, |
| "information_retrieval::dot_precision@30": 2670, |
| "information_retrieval::dot_precision@5": 2671, |
| "information_retrieval::dot_precision@50": 2672, |
| "information_retrieval::dot_recall@1": 2673, |
| "information_retrieval::dot_recall@10": 2674, |
| "information_retrieval::dot_recall@100": 2675, |
| "information_retrieval::dot_recall@2": 2676, |
| "information_retrieval::dot_recall@3": 2677, |
| "information_retrieval::dot_recall@30": 2678, |
| "information_retrieval::dot_recall@5": 2679, |
| "information_retrieval::dot_recall@50": 2680, |
| "information_retrieval::dot_score_accuracy@10": 2681, |
| "information_retrieval::dot_score_map@10": 2682, |
| "information_retrieval::dot_score_mrr@10": 2683, |
| "information_retrieval::dot_score_ndcg@10": 2684, |
| "information_retrieval::dot_score_precision@10": 2685, |
| "information_retrieval::dot_score_recall@10": 2686, |
| "information_retrieval::map@100": 2687, |
| "information_retrieval::mean_reciprocal_rank": 2688, |
| "information_retrieval::mrr@10": 2689, |
| "information_retrieval::mrr_with_full_pipeline": 2690, |
| "information_retrieval::ndcg@1": 2691, |
| "information_retrieval::ndcg@10": 2692, |
| "information_retrieval::ndcg@1000": 2693, |
| "information_retrieval::ndcg@3": 2694, |
| "information_retrieval::ndcg@5": 2695, |
| "information_retrieval::precision": 2696, |
| "information_retrieval::recall@1": 2697, |
| "information_retrieval::recall@10": 2698, |
| "information_retrieval::recall@100": 2699, |
| "information_retrieval::recall@1000": 2700, |
| "information_retrieval::recall@5": 2701, |
| "information_retrieval::time_ms": 2702, |
| "infovqa::score": 2703, |
| "instance_segmentation::ap": 2704, |
| "instance_segmentation::ap50": 2705, |
| "instance_segmentation::average_iou": 2706, |
| "instance_segmentation::detection_rate": 2707, |
| "instance_segmentation::map": 2708, |
| "instance_segmentation::map@50": 2709, |
| "instance_segmentation::map@75": 2710, |
| "instance_segmentation::map_l": 2711, |
| "instance_segmentation::map_m": 2712, |
| "instance_segmentation::map_s": 2713, |
| "instance_segmentation::mask_ap": 2714, |
| "instance_segmentation::mean_average_precision_map@50": 2715, |
| "instance_segmentation::mean_average_precision_map@50-95": 2716, |
| "instance_segmentation::mean_recall": 2717, |
| "instance_segmentation::precision": 2718, |
| "instance_segmentation::recall": 2719, |
| "instruct::accuracy": 2720, |
| "instruct::accuracy_norm": 2721, |
| "instruct::exact_match_em": 2722, |
| "instruct::pass@1": 2723, |
| "instruction::inst_level_loose_acc": 2724, |
| "instruction::inst_level_strict_acc": 2725, |
| "instruction::prompt_level_loose_acc": 2726, |
| "instruction::prompt_level_strict_acc": 2727, |
| "instruction_following::accuracy": 2728, |
| "instruction_following::avg_prompt/instruction_acc_loose/strict": 2729, |
| "instruction_following::inst-level_loose-accuracy": 2730, |
| "instruction_following::pass@1": 2731, |
| "instruction_following::score": 2732, |
| "instructionretrieval::p-mrr": 2733, |
| "instrument_recognition::accuracy": 2734, |
| "intent_classification::accuracy": 2735, |
| "intent_classification::f1": 2736, |
| "intent_classification::intent_accuracy": 2737, |
| "intent_classification::intent_classification_macro_f1_%": 2738, |
| "intent_classification::macro_f1": 2739, |
| "intent_classification::validation_accuracy": 2740, |
| "interactive_segmentation::noc@85": 2741, |
| "interactive_segmentation::noc@90": 2742, |
| "irony_detection::f1": 2743, |
| "irony_detection::retention_%": 2744, |
| "jpeg_decompression::ca": 2745, |
| "jprdy::accuracy": 2746, |
| "key_information_extraction::f1": 2747, |
| "keyphrase_extraction::f1@m": 2748, |
| "keyphrase_extraction::f1_seqeval": 2749, |
| "keyword_extraction::f1": 2750, |
| "keyword_extraction::precision": 2751, |
| "keyword_extraction::recall": 2752, |
| "keyword_spotting::google_speech_commands_v2_35": 2753, |
| "kg_to_text_generation::bleu": 2754, |
| "klue_sts::accuracy": 2755, |
| "klue_tc::accuracy": 2756, |
| "kmmlu::exact_match": 2757, |
| "knowledge::accuracy": 2758, |
| "knowledge::averagepass@1": 2759, |
| "knowledge::pass@1": 2760, |
| "knowledge::score": 2761, |
| "knowledge_benchmarking::mmlu_score": 2762, |
| "knowledge_benchmarking::vs_base_model": 2763, |
| "knowledge_distillation::negative_mse": 2764, |
| "knowledge_distillation::top-1_accuracy_%": 2765, |
| "knowledge_graphs::mrr": 2766, |
| "knowledge_qa::accuracy": 2767, |
| "knowledge_qa::accuracy_norm": 2768, |
| "knowledge_qa::pass@1": 2769, |
| "ko_strategyqa::accuracy": 2770, |
| "korsts::accuracy": 2771, |
| "ksm::korean_response_ratio": 2772, |
| "ksm::score": 2773, |
| "ksm::think_step_length": 2774, |
| "labeled_dependencies::labeled_attachment_score_las": 2775, |
| "lane_detection::f1": 2776, |
| "language_identification::accuracy": 2777, |
| "language_identification::error_rate": 2778, |
| "language_identification::f1_macro": 2779, |
| "language_identification::f1_negative": 2780, |
| "language_identification::f1_neutral": 2781, |
| "language_identification::f1_positive": 2782, |
| "language_identification::overall_f1": 2783, |
| "language_identification::overall_precision": 2784, |
| "language_identification::overall_recall": 2785, |
| "language_modeling::accuracy": 2786, |
| "language_modeling::epoch": 2787, |
| "language_modeling::loss": 2788, |
| "language_modeling::perplexity": 2789, |
| "language_modeling::perplexity_gpt-2_baseline": 2790, |
| "language_modeling::perplexity_ibce": 2791, |
| "language_modeling::tokens_per_second_baseline_a100_fp16_512_tok": 2792, |
| "language_modeling::tokens_per_second_ibce_a100_fp16_512_tok": 2793, |
| "language_modeling::validation_cross-entropy": 2794, |
| "language_modelling::accuracy": 2795, |
| "language_modelling::bit_per_character_bpc": 2796, |
| "language_modelling::bits_per_byte": 2797, |
| "language_modelling::eval_perplexity": 2798, |
| "language_modelling::gender_consistency": 2799, |
| "language_modelling::perplexity": 2800, |
| "language_modelling::ppl": 2801, |
| "language_modelling::test_perplexity": 2802, |
| "language_sentiment_analysis::accuracy": 2803, |
| "language_understanding::mmlu_5-shot": 2804, |
| "large_language_model::arc_25-shot": 2805, |
| "large_language_model::average": 2806, |
| "large_language_model::drop_3-shot": 2807, |
| "large_language_model::gsm8k_5-shot": 2808, |
| "large_language_model::hellaswag_10-shot": 2809, |
| "large_language_model::mmlu_5-shot": 2810, |
| "large_language_model::toxicity_rito": 2811, |
| "large_language_model::truthfulqa_0-shot": 2812, |
| "large_language_model::winogrande_5-shot": 2813, |
| "latent_diffusion_model_for_3d::absrel": 2814, |
| "latent_diffusion_model_for_3d::clip": 2815, |
| "latent_diffusion_model_for_3d::fid": 2816, |
| "latent_diffusion_model_for_3d::is": 2817, |
| "latent_diffusion_model_for_3d::rmse_m": 2818, |
| "latent_diffusion_model_for_3d_4c::absrel": 2819, |
| "latent_diffusion_model_for_3d_4c::clip": 2820, |
| "latent_diffusion_model_for_3d_4c::fid": 2821, |
| "latent_diffusion_model_for_3d_4c::is": 2822, |
| "latent_diffusion_model_for_3d_4c::rmse_m": 2823, |
| "latent_diffusion_model_for_3d_pano::clipsim": 2824, |
| "latent_diffusion_model_for_3d_pano::fid": 2825, |
| "latent_diffusion_model_for_3d_pano::is": 2826, |
| "latent_diffusion_model_for_3d_pano::mare": 2827, |
| "latent_diffusion_model_for_3d_pano::≤90%ile": 2828, |
| "latent_diffusion_model_for_3d_super_resolution::ldm3d-sr-b_depth_mare": 2829, |
| "latent_diffusion_model_for_3d_super_resolution::ldm3d-sr-b_fid": 2830, |
| "latent_diffusion_model_for_3d_super_resolution::ldm3d-sr-b_is": 2831, |
| "latent_diffusion_model_for_3d_super_resolution::ldm3d-sr-b_psnr": 2832, |
| "latent_diffusion_model_for_3d_super_resolution::ldm3d-sr-b_ssim": 2833, |
| "lbhistoricalbitextmining::lb_de_accuracy": 2834, |
| "lbhistoricalbitextmining::lb_en_accuracy": 2835, |
| "lbhistoricalbitextmining::lb_fr_accuracy": 2836, |
| "legal_case_analysis::accuracy": 2837, |
| "legal_document_retrieval::p@10_baseline": 2838, |
| "legal_document_retrieval::p@10_with_instructions": 2839, |
| "legal_document_summarization::rouge-1": 2840, |
| "legal_document_summarization::rouge-2": 2841, |
| "legal_document_summarization::rouge_l": 2842, |
| "legal_document_summarization::training_loss": 2843, |
| "legal_q_a_pt_pt::avg_latency": 2844, |
| "legal_q_a_pt_pt::deterministic_format_accuracy_\"exactamente_n\"": 2845, |
| "legal_q_a_pt_pt::internal_tag_leakage": 2846, |
| "legal_q_a_pt_pt::off-domain_citations": 2847, |
| "legal_q_a_pt_pt::refusal_rate": 2848, |
| "legal_q_a_pt_pt::repetition/looping_prevalence": 2849, |
| "legal_q_a_pt_pt::sample_size": 2850, |
| "legal_q_a_pt_pt::word-count_constraint_accuracy_120-150": 2851, |
| "lemma::lemma_accuracy": 2852, |
| "lemmatisation::coverage": 2853, |
| "lemmatisation::coverage_$": 2854, |
| "lemmatisation::coverage_$.": 2855, |
| "lemmatisation::coverage_adja": 2856, |
| "lemmatisation::coverage_adjd": 2857, |
| "lemmatisation::coverage_adv": 2858, |
| "lemmatisation::coverage_appo": 2859, |
| "lemmatisation::coverage_appr": 2860, |
| "lemmatisation::coverage_apprart": 2861, |
| "lemmatisation::coverage_apzr": 2862, |
| "lemmatisation::coverage_art": 2863, |
| "lemmatisation::coverage_card": 2864, |
| "lemmatisation::coverage_fm": 2865, |
| "lemmatisation::coverage_itj": 2866, |
| "lemmatisation::coverage_kokom": 2867, |
| "lemmatisation::coverage_kon": 2868, |
| "lemmatisation::coverage_koui": 2869, |
| "lemmatisation::coverage_kous": 2870, |
| "lemmatisation::coverage_ne": 2871, |
| "lemmatisation::coverage_nn": 2872, |
| "lemmatisation::coverage_pdat": 2873, |
| "lemmatisation::coverage_pds": 2874, |
| "lemmatisation::coverage_piat": 2875, |
| "lemmatisation::coverage_pidat": 2876, |
| "lemmatisation::coverage_pis": 2877, |
| "lemmatisation::coverage_pper": 2878, |
| "lemmatisation::coverage_pposat": 2879, |
| "lemmatisation::coverage_pposs": 2880, |
| "lemmatisation::coverage_prelat": 2881, |
| "lemmatisation::coverage_prels": 2882, |
| "lemmatisation::coverage_prf": 2883, |
| "lemmatisation::coverage_proav": 2884, |
| "lemmatisation::coverage_ptka": 2885, |
| "lemmatisation::coverage_ptkant": 2886, |
| "lemmatisation::coverage_ptkneg": 2887, |
| "lemmatisation::coverage_ptkvz": 2888, |
| "lemmatisation::coverage_ptkzu": 2889, |
| "lemmatisation::coverage_pwat": 2890, |
| "lemmatisation::coverage_pwav": 2891, |
| "lemmatisation::coverage_pws": 2892, |
| "lemmatisation::coverage_vafin": 2893, |
| "lemmatisation::coverage_vaimp": 2894, |
| "lemmatisation::coverage_vainf": 2895, |
| "lemmatisation::coverage_vapp": 2896, |
| "lemmatisation::coverage_vmfin": 2897, |
| "lemmatisation::coverage_vminf": 2898, |
| "lemmatisation::coverage_vmpp": 2899, |
| "lemmatisation::coverage_vvfin": 2900, |
| "lemmatisation::coverage_vvimp": 2901, |
| "lemmatisation::coverage_vvinf": 2902, |
| "lemmatisation::coverage_vvizu": 2903, |
| "lemmatisation::coverage_vvpp": 2904, |
| "lemmatisation::coverage_xy": 2905, |
| "lexical_bias_detection::f1": 2906, |
| "lexical_bias_detection::mcc": 2907, |
| "lexical_bias_detection::precision": 2908, |
| "lexical_bias_detection::recall": 2909, |
| "lexical_relation_classification_bless::f1": 2910, |
| "lexical_relation_classification_bless::f1_macro": 2911, |
| "lexical_relation_classification_cogalexv::f1": 2912, |
| "lexical_relation_classification_cogalexv::f1_macro": 2913, |
| "lexical_relation_classification_evalution::f1": 2914, |
| "lexical_relation_classification_evalution::f1_macro": 2915, |
| "lexical_relation_classification_k_h_n::f1": 2916, |
| "lexical_relation_classification_k_h_n::f1_macro": 2917, |
| "lexical_relation_classification_root09::f1": 2918, |
| "lexical_relation_classification_root09::f1_macro": 2919, |
| "linguistic_acceptability::accuracy": 2920, |
| "linguistic_acceptability::mcc": 2921, |
| "linguistic_accuracy_evaluation::common_words_accuracy_%": 2922, |
| "linguistic_accuracy_evaluation::compound_words_accuracy_%": 2923, |
| "linguistic_accuracy_evaluation::numbers_accuracy_%": 2924, |
| "linguistic_accuracy_evaluation::particles_accuracy_%": 2925, |
| "linguistic_accuracy_evaluation::proper_names_accuracy_%": 2926, |
| "linguistic_accuracy_evaluation::sanskrit/pali_terms_accuracy_%": 2927, |
| "link_prediction::hits@1": 2928, |
| "literary_explicitness_classification::accuracy": 2929, |
| "literary_explicitness_classification::macro_f1": 2930, |
| "literary_explicitness_classification::weighted_f1": 2931, |
| "logging::cosine_accuracy@1": 2932, |
| "logging::cosine_accuracy@10": 2933, |
| "logging::cosine_accuracy@3": 2934, |
| "logging::cosine_accuracy@5": 2935, |
| "logging::cosine_map@100": 2936, |
| "logging::cosine_mrr@10": 2937, |
| "logging::cosine_ndcg@10": 2938, |
| "logging::cosine_precision@1": 2939, |
| "logging::cosine_precision@3": 2940, |
| "logging::cosine_precision@5": 2941, |
| "logging::cosine_recall@1": 2942, |
| "logging::cosine_recall@3": 2943, |
| "logging::cosine_recall@5": 2944, |
| "logical_reasoning::accuracy": 2945, |
| "long_context::acc.": 2946, |
| "long_context::longbook_choice/acc": 2947, |
| "long_context::longbook_qa/f1": 2948, |
| "long_context::recall": 2949, |
| "long_context_hallucination_detection::hallucination_f1": 2950, |
| "long_context_understanding::12k": 2951, |
| "long_context_understanding::16k": 2952, |
| "long_context_understanding::1_image_2*2_stitching_exact_accuracy": 2953, |
| "long_context_understanding::average_score": 2954, |
| "long_horizon::f1": 2955, |
| "long_horizon::improvement": 2956, |
| "long_horizon::π0": 2957, |
| "long_legal_document_summarization::bartscore": 2958, |
| "long_legal_document_summarization::bertscore": 2959, |
| "long_legal_document_summarization::blanc": 2960, |
| "long_legal_document_summarization::rouge-1": 2961, |
| "long_legal_document_summarization::rouge-2": 2962, |
| "long_legal_document_summarization::rouge_l": 2963, |
| "long_tail_learning::average_map": 2964, |
| "long_tail_learning::error_rate": 2965, |
| "long_tail_learning::top-1_accuracy": 2966, |
| "long_video_retrieval_background_removed::cap._avg._r@1": 2967, |
| "longvideobench::accuracy": 2968, |
| "low_light_image_enhancement::niqe": 2969, |
| "low_light_image_enhancement::psnr": 2970, |
| "low_light_image_enhancement::ssim": 2971, |
| "lsr::f1": 2972, |
| "lung_nodule_detection::auc": 2973, |
| "machine_translation::bertscore": 2974, |
| "machine_translation::bleu": 2975, |
| "machine_translation::bleu_score": 2976, |
| "machine_translation::bleu_xx→eng": 2977, |
| "machine_translation::bleurt": 2978, |
| "machine_translation::chrf": 2979, |
| "machine_translation::chrf++": 2980, |
| "machine_translation::chrf2": 2981, |
| "machine_translation::chrf_eng→xx": 2982, |
| "machine_translation::chrf_xx→eng": 2983, |
| "machine_translation::comet_score": 2984, |
| "machine_translation::ter": 2985, |
| "machine_translation_evaluation::kendall's_tau": 2986, |
| "machine_translation_evaluation::pearson_correlation": 2987, |
| "machine_translation_evaluation::spearman_correlation": 2988, |
| "machine_translation_sa_en::bleu": 2989, |
| "machine_translation_sa_en::meteor": 2990, |
| "machine_translation_sa_en::rouge_l": 2991, |
| "macro-f1": 2992, |
| "maj@1": 2993, |
| "manipulation_detection::accuracy": 2994, |
| "manipulation_detection::f1": 2995, |
| "market_direction_prediction::direction_accuracy_avg": 2996, |
| "market_direction_prediction::direction_accuracy_best": 2997, |
| "market_direction_prediction::top-2_accuracy": 2998, |
| "marketing_domain_q_a::win_rate_vs_base_model_llm-as-judge": 2999, |
| "masked_language_modeling::accuracy": 3000, |
| "masked_language_modeling::perplexity": 3001, |
| "masked_language_modelling::perplexity": 3002, |
| "masked_prediction_30::character_accuracy": 3003, |
| "masked_prediction_30::top-3_accuracy": 3004, |
| "masked_prediction_30::word_accuracy": 3005, |
| "massive_multitask_language_understanding::score": 3006, |
| "massiveintentclassification::accuracy": 3007, |
| "massivescenarioclassification::accuracy": 3008, |
| "math::accuracy": 3009, |
| "math::averagepass@1": 3010, |
| "math::avg@32": 3011, |
| "math::em_maj1@1": 3012, |
| "math::final_em": 3013, |
| "math::korean_response_ratio": 3014, |
| "math::pass@1": 3015, |
| "math::score": 3016, |
| "math::think_step_length": 3017, |
| "math_evaluation::exact_match_none": 3018, |
| "math_evaluation::exact_match_none_gsm8k_0shot_instruct": 3019, |
| "math_evaluation::exact_match_none_meta_math_0shot_instruct": 3020, |
| "math_evaluation::exact_match_none_meta_math_hard_0shot_instruct": 3021, |
| "math_reasoning::accuracy": 3022, |
| "math_reasoning::pass@1": 3023, |
| "math_reasoning::pass@1_avg16": 3024, |
| "math_word_problem_solving::accuracy": 3025, |
| "math_word_problem_solving::accuracy_%": 3026, |
| "math_word_problem_solving::execution_accuracy": 3027, |
| "math_word_problem_solving::final_em": 3028, |
| "math_word_problems::accuracy": 3029, |
| "math_word_problems::distractor_accuracy": 3030, |
| "math_word_problems::original_accuracy": 3031, |
| "mathematical_problem_solving::pass@1_0-shot_cot": 3032, |
| "mathematical_problem_solving::score": 3033, |
| "mathematical_reasoning::accuracy": 3034, |
| "mathematical_reasoning::accuracy_5-shot": 3035, |
| "mathematical_reasoning::aime_2025": 3036, |
| "mathematical_reasoning::avg@10": 3037, |
| "mathematical_reasoning::avg@32": 3038, |
| "mathematical_reasoning::completed_training_rounds": 3039, |
| "mathematical_reasoning::gsm8k_accuracy": 3040, |
| "mathematical_reasoning::gsm8k_score": 3041, |
| "mathematical_reasoning::mean@1": 3042, |
| "mathematical_reasoning::score": 3043, |
| "mathematical_reasoning::target_rounds": 3044, |
| "mathematical_reasoning::training_progress_%": 3045, |
| "mathematical_reasoning_w_tools::avg@16": 3046, |
| "mathematical_reasoning_w_tools::avg@4": 3047, |
| "mathematics::accuracy": 3048, |
| "mbpp::pass@1": 3049, |
| "mbti_personality_classification::e/i_accuracy": 3050, |
| "mbti_personality_classification::j/p_accuracy": 3051, |
| "mbti_personality_classification::overall_test_accuracy": 3052, |
| "mbti_personality_classification::s/n_accuracy": 3053, |
| "mbti_personality_classification::t/f_accuracy": 3054, |
| "mc2_10_shot::accuracy": 3055, |
| "medical::wer": 3056, |
| "medical_image_classification::1:1_accuracy": 3057, |
| "medical_image_classification::accuracy_%": 3058, |
| "medical_image_classification::auc-roc": 3059, |
| "medical_image_classification::gflops": 3060, |
| "medical_image_classification::test_accuracy": 3061, |
| "medical_image_segmentation::avg_dsc": 3062, |
| "medical_image_segmentation::dice": 3063, |
| "medical_image_segmentation::dice_average": 3064, |
| "medical_image_segmentation::dice_score": 3065, |
| "medical_image_segmentation::dsc": 3066, |
| "medical_image_segmentation::f1": 3067, |
| "medical_image_segmentation::iou": 3068, |
| "medical_image_segmentation::mean_dice": 3069, |
| "medical_image_segmentation::miou": 3070, |
| "medical_knowledge::accuracy": 3071, |
| "medical_literature_search::ndcg@20_baseline": 3072, |
| "medical_literature_search::ndcg@20_with_instructions": 3073, |
| "medical_question_answering::exact_match": 3074, |
| "medical_question_answering::inference_success_rate": 3075, |
| "medical_question_answering::medical_keyword_coverage": 3076, |
| "medical_question_answering::overall_score": 3077, |
| "medical_question_answering::token_f1": 3078, |
| "medical_question_answering::training_loss": 3079, |
| "medical_question_answering::validation_loss": 3080, |
| "medical_soap_note_generation::bertscore_f1": 3081, |
| "medical_soap_note_generation::rouge-1_f1": 3082, |
| "medical_soap_note_generation::rouge-2_f1": 3083, |
| "medical_soap_note_generation::rouge-l_f1": 3084, |
| "medical_text_generation::training_loss": 3085, |
| "meme_classification::f1": 3086, |
| "meme_classification::roc-auc": 3087, |
| "memorization::accuracy": 3088, |
| "military_audio_classification::accuracy": 3089, |
| "military_audio_classification::f1-weighted": 3090, |
| "miracl_reranking::accuracy": 3091, |
| "miracl_retrieval::accuracy": 3092, |
| "misogyny_detection::accuracy": 3093, |
| "misogyny_detection::f1-macro": 3094, |
| "misogyny_detection::precision-macro": 3095, |
| "misogyny_detection::recall-macro": 3096, |
| "misogyny_detection::roc-auc": 3097, |
| "misogyny_identification::f1": 3098, |
| "misogyny_identification::test_accuracy": 3099, |
| "mix::average_scores_5-shot": 3100, |
| "mmlu::accuracy": 3101, |
| "mmlu::exact_match": 3102, |
| "mmlu::score": 3103, |
| "mmlu_5-shot": 3104, |
| "mmlu_knowledge_test::accuracy": 3105, |
| "mmlu_pro::accuracy": 3106, |
| "mmr_total::total_column_score": 3107, |
| "mmvp::accuracy": 3108, |
| "model_compression::accuracy": 3109, |
| "model_compression::top-1": 3110, |
| "molecular_property_prediction::auc": 3111, |
| "molecular_property_prediction::mae": 3112, |
| "molecular_property_prediction::rmse": 3113, |
| "molecular_property_prediction::roc-auc": 3114, |
| "molecule_captioning::bleu-2": 3115, |
| "moment_retrieval::r@1_iou=0.5": 3116, |
| "monocular_depth_estimation::zero-shot_transfer": 3117, |
| "monolingual_document_retrieval::map@10": 3118, |
| "monolingual_document_retrieval::mrr@10": 3119, |
| "monolingual_document_retrieval::ndcg@5": 3120, |
| "monolingual_document_retrieval::recall@10": 3121, |
| "morph::morph_ufeats_accuracy": 3122, |
| "morphological_tagging_first_subtoken::token_accuracy_all": 3123, |
| "morphological_tagging_first_subtoken::token_accuracy_ambiguous": 3124, |
| "motion_synthesis::diversity": 3125, |
| "motion_synthesis::l2q@15": 3126, |
| "mtopdomainclassification::accuracy": 3127, |
| "mtopintentclassification::accuracy": 3128, |
| "multi_class_classification::accuracy": 3129, |
| "multi_class_classification::f1": 3130, |
| "multi_class_classification::loss": 3131, |
| "multi_class_classification::macro_f1": 3132, |
| "multi_class_classification::macro_precision": 3133, |
| "multi_class_classification::macro_recall": 3134, |
| "multi_class_classification::micro_precision": 3135, |
| "multi_class_classification::micro_recall": 3136, |
| "multi_class_classification::recall": 3137, |
| "multi_class_classification::roc_auc": 3138, |
| "multi_class_classification::weighted_f1": 3139, |
| "multi_class_classification::weighted_precision": 3140, |
| "multi_class_classification::weighted_recall": 3141, |
| "multi_class_text_classification::accuracy": 3142, |
| "multi_class_text_classification::f1": 3143, |
| "multi_class_text_classification::precision": 3144, |
| "multi_class_text_classification::recall": 3145, |
| "multi_class_text_classification::validation_accuracy": 3146, |
| "multi_class_text_classification::validation_f1": 3147, |
| "multi_head_text_regression::aggregate_rmse_multi-head_→_final": 3148, |
| "multi_head_text_regression::aggregate_r²_multi-head_→_final": 3149, |
| "multi_head_text_regression::mean_rmse_multi-head": 3150, |
| "multi_head_text_regression::rmse_delta_cola_to_final": 3151, |
| "multi_head_text_regression::rmse_delta_perplexity_to_final_large": 3152, |
| "multi_head_text_regression::rmse_iter_to_final_simplified": 3153, |
| "multi_head_text_regression::rmse_robbert_delta_blurb_to_final": 3154, |
| "multi_head_text_regression::r²_delta_cola_to_final": 3155, |
| "multi_head_text_regression::r²_delta_perplexity_to_final_large": 3156, |
| "multi_head_text_regression::r²_iter_to_final_simplified": 3157, |
| "multi_head_text_regression::r²_robbert_delta_blurb_to_final": 3158, |
| "multi_label_classification::accuracy": 3159, |
| "multi_label_classification::average_auc_on_14_label": 3160, |
| "multi_label_classification::avg_positive_predictions": 3161, |
| "multi_label_classification::epoch": 3162, |
| "multi_label_classification::f1": 3163, |
| "multi_label_classification::f1-score": 3164, |
| "multi_label_classification::f1_admiration": 3165, |
| "multi_label_classification::f1_amusement": 3166, |
| "multi_label_classification::f1_anger": 3167, |
| "multi_label_classification::f1_annoyance": 3168, |
| "multi_label_classification::f1_approval": 3169, |
| "multi_label_classification::f1_caring": 3170, |
| "multi_label_classification::f1_confusion": 3171, |
| "multi_label_classification::f1_curiosity": 3172, |
| "multi_label_classification::f1_desire": 3173, |
| "multi_label_classification::f1_disappointment": 3174, |
| "multi_label_classification::f1_disapproval": 3175, |
| "multi_label_classification::f1_disgust": 3176, |
| "multi_label_classification::f1_embarrassment": 3177, |
| "multi_label_classification::f1_excitement": 3178, |
| "multi_label_classification::f1_fear": 3179, |
| "multi_label_classification::f1_gratitude": 3180, |
| "multi_label_classification::f1_grief": 3181, |
| "multi_label_classification::f1_joy": 3182, |
| "multi_label_classification::f1_love": 3183, |
| "multi_label_classification::f1_macro": 3184, |
| "multi_label_classification::f1_micro": 3185, |
| "multi_label_classification::f1_nervousness": 3186, |
| "multi_label_classification::f1_neutral": 3187, |
| "multi_label_classification::f1_optimism": 3188, |
| "multi_label_classification::f1_pride": 3189, |
| "multi_label_classification::f1_realization": 3190, |
| "multi_label_classification::f1_relief": 3191, |
| "multi_label_classification::f1_remorse": 3192, |
| "multi_label_classification::f1_sadness": 3193, |
| "multi_label_classification::f1_samples": 3194, |
| "multi_label_classification::f1_surprise": 3195, |
| "multi_label_classification::f1_weighted": 3196, |
| "multi_label_classification::hamming_loss": 3197, |
| "multi_label_classification::loss": 3198, |
| "multi_label_classification::macro_f1": 3199, |
| "multi_label_classification::map": 3200, |
| "multi_label_classification::micro_f1_optimized_thresholds": 3201, |
| "multi_label_classification::precision": 3202, |
| "multi_label_classification::precision_macro": 3203, |
| "multi_label_classification::precision_micro": 3204, |
| "multi_label_classification::precision_samples": 3205, |
| "multi_label_classification::precision_weighted": 3206, |
| "multi_label_classification::recall": 3207, |
| "multi_label_classification::recall_macro": 3208, |
| "multi_label_classification::recall_micro": 3209, |
| "multi_label_classification::recall_samples": 3210, |
| "multi_label_classification::recall_weighted": 3211, |
| "multi_label_classification::roc-auc_macro": 3212, |
| "multi_label_classification::roc_auc_macro": 3213, |
| "multi_label_classification::roc_auc_micro": 3214, |
| "multi_label_classification::roc_auc_samples": 3215, |
| "multi_label_classification::roc_auc_weighted": 3216, |
| "multi_label_classification::runtime": 3217, |
| "multi_label_classification::samples_per_second": 3218, |
| "multi_label_classification::steps_per_second": 3219, |
| "multi_label_emotion_classification::accuracy": 3220, |
| "multi_label_emotion_classification::exact_match_accuracy": 3221, |
| "multi_label_emotion_classification::f1_macro": 3222, |
| "multi_label_emotion_classification::f1_micro": 3223, |
| "multi_label_emotion_classification::f1_weighted": 3224, |
| "multi_label_emotion_classification::subset_accuracy": 3225, |
| "multi_label_fine_grained_emotion_classification::accuracy_hamming": 3226, |
| "multi_label_fine_grained_emotion_classification::f1-macro": 3227, |
| "multi_label_fine_grained_emotion_classification::recall-macro": 3228, |
| "multi_label_image_classification::f1": 3229, |
| "multi_label_image_classification::map_micro": 3230, |
| "multi_label_intent_detection::f1_constructive": 3231, |
| "multi_label_intent_detection::f1_macro": 3232, |
| "multi_label_intent_detection::f1_trolling": 3233, |
| "multi_label_music_note_prediction::focalloss": 3234, |
| "multi_label_text_classification::accuracy": 3235, |
| "multi_label_text_classification::f1": 3236, |
| "multi_label_text_classification::f1-score": 3237, |
| "multi_label_text_classification::f1_micro": 3238, |
| "multi_label_text_classification::f1_score_macro": 3239, |
| "multi_label_text_classification::f1_score_micro": 3240, |
| "multi_label_text_classification::hamming_loss": 3241, |
| "multi_label_text_classification::macro-f1": 3242, |
| "multi_label_text_classification::macro_f1": 3243, |
| "multi_label_text_classification::micro-f1": 3244, |
| "multi_label_text_classification::micro-precision": 3245, |
| "multi_label_text_classification::micro-recall": 3246, |
| "multi_label_text_classification::micro_f1": 3247, |
| "multi_label_text_classification::pr_auc": 3248, |
| "multi_label_text_classification::precision": 3249, |
| "multi_label_text_classification::recall": 3250, |
| "multi_label_text_classification::roc_auc": 3251, |
| "multi_label_text_classification::roc_auc_micro": 3252, |
| "multi_label_text_classification::subset-accuracy": 3253, |
| "multi_label_text_classification::subset_accuracy": 3254, |
| "multi_label_text_classification::weighted_f1": 3255, |
| "multi_modal_hate_speech_detection::f1_macro": 3256, |
| "multi_modal_hate_speech_detection::f1_micro": 3257, |
| "multi_modal_hate_speech_detection::roc-auc_macro": 3258, |
| "multi_object_tracking::assa": 3259, |
| "multi_object_tracking::hota": 3260, |
| "multi_object_tracking::idf1": 3261, |
| "multi_object_tracking::mota": 3262, |
| "multi_object_tracking::smotsa": 3263, |
| "multi_person_pose_estimation::ap": 3264, |
| "multi_person_pose_estimation::ap_easy": 3265, |
| "multi_source_reasoning_musr::accuracy": 3266, |
| "multi_task_dev::validation_dev_overall": 3267, |
| "multi_task_dev::validation_nli_cosine_accuracy": 3268, |
| "multi_task_dev::validation_nli_cosine_accuracy_threshold": 3269, |
| "multi_task_dev::validation_nli_cosine_ap": 3270, |
| "multi_task_dev::validation_nli_cosine_f1": 3271, |
| "multi_task_dev::validation_nli_cosine_f1_threshold": 3272, |
| "multi_task_dev::validation_nli_cosine_mcc": 3273, |
| "multi_task_dev::validation_nli_cosine_precision": 3274, |
| "multi_task_dev::validation_nli_cosine_recall": 3275, |
| "multi_task_dev::validation_rte_cosine_accuracy": 3276, |
| "multi_task_dev::validation_rte_cosine_accuracy_threshold": 3277, |
| "multi_task_dev::validation_rte_cosine_ap": 3278, |
| "multi_task_dev::validation_rte_cosine_f1": 3279, |
| "multi_task_dev::validation_rte_cosine_f1_threshold": 3280, |
| "multi_task_dev::validation_rte_cosine_mcc": 3281, |
| "multi_task_dev::validation_rte_cosine_precision": 3282, |
| "multi_task_dev::validation_rte_cosine_recall": 3283, |
| "multi_task_dev::validation_sts_pearson_cosine": 3284, |
| "multi_task_dev::validation_sts_spearman_cosine": 3285, |
| "multi_task_evaluation::accuracy": 3286, |
| "multi_task_language_understanding::pass@1": 3287, |
| "multi_tissue_nucleus_segmentation::dice": 3288, |
| "multi_turn_conversation::score": 3289, |
| "multi_turn_conversation_quality::score": 3290, |
| "multilabel_text_classification::multilabel_accuracy": 3291, |
| "multilabel_text_classification::multilabel_roc_auc": 3292, |
| "multilabelclassification::accuracy": 3293, |
| "multilabelclassification::f1": 3294, |
| "multilabelclassification::lrap": 3295, |
| "multilabelclassification::main_score": 3296, |
| "multilingual::avg_acc": 3297, |
| "multilingual::exact_match": 3298, |
| "multilingual_emotion_classification::accuracy": 3299, |
| "multilingual_emotion_classification::f1_score_macro_avg": 3300, |
| "multilingual_emotion_classification::precision_macro_avg": 3301, |
| "multilingual_emotion_classification::recall_macro_avg": 3302, |
| "multilingual_math_mgsm::accuracy": 3303, |
| "multilingual_qa::bertscore_xlm-r-large": 3304, |
| "multilingual_qa::rouge_l": 3305, |
| "multilingual_retrieval::ndcg@10": 3306, |
| "multilingual_vln::ndtw_val_unseen": 3307, |
| "multilingual_vln::sr_val_unseen": 3308, |
| "multimodal::accuracy": 3309, |
| "multimodal::score": 3310, |
| "multimodal_code_generation::pass@1_code_generation": 3311, |
| "multimodal_code_generation::pass@1_function_completion": 3312, |
| "multimodal_code_generation::pass@1_multimodal": 3313, |
| "multimodal_code_generation::rouge-l_qa": 3314, |
| "multimodal_emotion_recognition::accuracy": 3315, |
| "multimodal_medical_knowledge_and_reasoning::accuracy": 3316, |
| "multimodal_reasoning::accuracy": 3317, |
| "multiple_choice::0-shot": 3318, |
| "multiple_choice::10-shot": 3319, |
| "multiple_choice::25-shot": 3320, |
| "multiple_choice::5-shot": 3321, |
| "multiple_choice::accuracy": 3322, |
| "multiple_choice::accuracy_0-shot": 3323, |
| "multiple_choice::accuracy_0_shot": 3324, |
| "multiple_choice::accuracy_10-shot": 3325, |
| "multiple_choice::accuracy_5-shot": 3326, |
| "multiple_choice::accuracy_5_shot": 3327, |
| "multiple_choice::accuracy_all_extraction": 3328, |
| "multiple_choice::accuracy_clean_extraction": 3329, |
| "multiple_choice_qa::competition_rank": 3330, |
| "multiple_choice_qa::private_score": 3331, |
| "multiple_choice_qa::public_score": 3332, |
| "multiple_choice_question_answering::accuracy": 3333, |
| "multiple_choice_question_answering::mmlu_overall": 3334, |
| "multiple_choice_question_generation::accuracy": 3335, |
| "multiple_choice_question_generation::bleu": 3336, |
| "multiple_choice_question_generation::rouge": 3337, |
| "multiple_object_tracking::assa": 3338, |
| "multiple_object_tracking::hota": 3339, |
| "music_auto_tagging::pr-auc": 3340, |
| "music_question_answering::bert_score": 3341, |
| "music_source_separation::sdr_avg": 3342, |
| "music_transcription::note-level_f-measure-no-offset_fno": 3343, |
| "mvbench::accuracy": 3344, |
| "my_binary_classification::cosine_accuracy": 3345, |
| "my_binary_classification::cosine_accuracy_threshold": 3346, |
| "my_binary_classification::cosine_ap": 3347, |
| "my_binary_classification::cosine_f1": 3348, |
| "my_binary_classification::cosine_f1_threshold": 3349, |
| "my_binary_classification::cosine_mcc": 3350, |
| "my_binary_classification::cosine_precision": 3351, |
| "my_binary_classification::cosine_recall": 3352, |
| "named_entity_recognition::accuracy": 3353, |
| "named_entity_recognition::f1": 3354, |
| "named_entity_recognition::f1-score": 3355, |
| "named_entity_recognition::f1_macro": 3356, |
| "named_entity_recognition::f1_micro": 3357, |
| "named_entity_recognition::f1_micro_avg": 3358, |
| "named_entity_recognition::f1_score_macro": 3359, |
| "named_entity_recognition::f1_score_weighted": 3360, |
| "named_entity_recognition::f1_weighted_avg": 3361, |
| "named_entity_recognition::loss": 3362, |
| "named_entity_recognition::macro_f1": 3363, |
| "named_entity_recognition::macro_precision": 3364, |
| "named_entity_recognition::macro_recall": 3365, |
| "named_entity_recognition::overall_f1": 3366, |
| "named_entity_recognition::precision": 3367, |
| "named_entity_recognition::precision_micro": 3368, |
| "named_entity_recognition::precision_micro_avg": 3369, |
| "named_entity_recognition::recall": 3370, |
| "named_entity_recognition::recall_micro": 3371, |
| "named_entity_recognition::recall_micro_avg": 3372, |
| "named_entity_recognition::span-based_f1": 3373, |
| "named_entity_recognition_invoices::f1": 3374, |
| "named_entity_recognition_invoices::precision": 3375, |
| "named_entity_recognition_invoices::recall": 3376, |
| "named_entity_recognition_ner::f1": 3377, |
| "named_entity_recognition_ner::f1_%": 3378, |
| "named_entity_recognition_ner::macro_f1_score": 3379, |
| "named_entity_recognition_ner::micro_f1": 3380, |
| "named_entity_recognition_ner::precision": 3381, |
| "named_entity_recognition_ner::recall": 3382, |
| "named_entity_recognition_ner::validation_loss": 3383, |
| "nano_beir::binary_cosine_accuracy@1": 3384, |
| "nano_beir::binary_cosine_accuracy@10": 3385, |
| "nano_beir::binary_cosine_accuracy@3": 3386, |
| "nano_beir::binary_cosine_accuracy@5": 3387, |
| "nano_beir::binary_cosine_map@100": 3388, |
| "nano_beir::binary_cosine_mrr@10": 3389, |
| "nano_beir::binary_cosine_ndcg@10": 3390, |
| "nano_beir::binary_cosine_precision@1": 3391, |
| "nano_beir::binary_cosine_precision@10": 3392, |
| "nano_beir::binary_cosine_precision@3": 3393, |
| "nano_beir::binary_cosine_precision@5": 3394, |
| "nano_beir::binary_cosine_recall@1": 3395, |
| "nano_beir::binary_cosine_recall@10": 3396, |
| "nano_beir::binary_cosine_recall@3": 3397, |
| "nano_beir::binary_cosine_recall@5": 3398, |
| "nano_beir::cosine_accuracy@1": 3399, |
| "nano_beir::cosine_accuracy@10": 3400, |
| "nano_beir::cosine_accuracy@3": 3401, |
| "nano_beir::cosine_accuracy@5": 3402, |
| "nano_beir::cosine_map@10": 3403, |
| "nano_beir::cosine_map@100": 3404, |
| "nano_beir::cosine_mrr@10": 3405, |
| "nano_beir::cosine_ndcg@10": 3406, |
| "nano_beir::cosine_precision@1": 3407, |
| "nano_beir::cosine_precision@10": 3408, |
| "nano_beir::cosine_precision@3": 3409, |
| "nano_beir::cosine_precision@5": 3410, |
| "nano_beir::cosine_recall@1": 3411, |
| "nano_beir::cosine_recall@10": 3412, |
| "nano_beir::cosine_recall@3": 3413, |
| "nano_beir::cosine_recall@5": 3414, |
| "nano_beir::float32_cosine_accuracy@1": 3415, |
| "nano_beir::float32_cosine_accuracy@10": 3416, |
| "nano_beir::float32_cosine_accuracy@3": 3417, |
| "nano_beir::float32_cosine_accuracy@5": 3418, |
| "nano_beir::float32_cosine_map@100": 3419, |
| "nano_beir::float32_cosine_mrr@10": 3420, |
| "nano_beir::float32_cosine_ndcg@10": 3421, |
| "nano_beir::float32_cosine_precision@1": 3422, |
| "nano_beir::float32_cosine_precision@10": 3423, |
| "nano_beir::float32_cosine_precision@3": 3424, |
| "nano_beir::float32_cosine_precision@5": 3425, |
| "nano_beir::float32_cosine_recall@1": 3426, |
| "nano_beir::float32_cosine_recall@10": 3427, |
| "nano_beir::float32_cosine_recall@3": 3428, |
| "nano_beir::float32_cosine_recall@5": 3429, |
| "nano_beir::int8_cosine_accuracy@1": 3430, |
| "nano_beir::int8_cosine_accuracy@10": 3431, |
| "nano_beir::int8_cosine_accuracy@3": 3432, |
| "nano_beir::int8_cosine_accuracy@5": 3433, |
| "nano_beir::int8_cosine_map@100": 3434, |
| "nano_beir::int8_cosine_mrr@10": 3435, |
| "nano_beir::int8_cosine_ndcg@10": 3436, |
| "nano_beir::int8_cosine_precision@1": 3437, |
| "nano_beir::int8_cosine_precision@10": 3438, |
| "nano_beir::int8_cosine_precision@3": 3439, |
| "nano_beir::int8_cosine_precision@5": 3440, |
| "nano_beir::int8_cosine_recall@1": 3441, |
| "nano_beir::int8_cosine_recall@10": 3442, |
| "nano_beir::int8_cosine_recall@3": 3443, |
| "nano_beir::int8_cosine_recall@5": 3444, |
| "nano_beir::maxsim_accuracy@1": 3445, |
| "nano_beir::maxsim_accuracy@10": 3446, |
| "nano_beir::maxsim_accuracy@3": 3447, |
| "nano_beir::maxsim_accuracy@5": 3448, |
| "nano_beir::maxsim_map@100": 3449, |
| "nano_beir::maxsim_mrr@10": 3450, |
| "nano_beir::maxsim_ndcg@10": 3451, |
| "nano_beir::maxsim_precision@1": 3452, |
| "nano_beir::maxsim_precision@10": 3453, |
| "nano_beir::maxsim_precision@3": 3454, |
| "nano_beir::maxsim_precision@5": 3455, |
| "nano_beir::maxsim_recall@1": 3456, |
| "nano_beir::maxsim_recall@10": 3457, |
| "nano_beir::maxsim_recall@3": 3458, |
| "nano_beir::maxsim_recall@5": 3459, |
| "narrative_genre_classification::accuracy": 3460, |
| "narratives::bleu-4": 3461, |
| "narratives::cider": 3462, |
| "narratives::clip-s": 3463, |
| "narratives::meteor": 3464, |
| "narratives::rouge_l": 3465, |
| "narratives::spice": 3466, |
| "natqs::accuracy": 3467, |
| "natural_language_inference::%_test_accuracy": 3468, |
| "natural_language_inference::a2": 3469, |
| "natural_language_inference::accuracy": 3470, |
| "natural_language_inference::auc": 3471, |
| "natural_language_inference::average_f1": 3472, |
| "natural_language_inference::best_accuracy_128_dim": 3473, |
| "natural_language_inference::best_f1_256_dim": 3474, |
| "natural_language_inference::f1": 3475, |
| "natural_language_inference::f1_macro": 3476, |
| "natural_language_inference::f1_micro": 3477, |
| "natural_language_inference::f1_weighted": 3478, |
| "natural_language_inference::latency_ms": 3479, |
| "natural_language_inference::loss": 3480, |
| "natural_language_inference::macro-f1": 3481, |
| "natural_language_inference::matched": 3482, |
| "natural_language_inference::mcc": 3483, |
| "natural_language_inference::precision": 3484, |
| "natural_language_inference::precision_macro": 3485, |
| "natural_language_inference::precision_micro": 3486, |
| "natural_language_inference::precision_weighted": 3487, |
| "natural_language_inference::recall": 3488, |
| "natural_language_inference::recall_macro": 3489, |
| "natural_language_inference::recall_micro": 3490, |
| "natural_language_inference::recall_weighted": 3491, |
| "natural_language_inference::throughput_tps_on_h100": 3492, |
| "natural_language_inference::validation_accuracy": 3493, |
| "natural_language_inference::validation_f1": 3494, |
| "natural_language_inference::validation_matched_accuracy": 3495, |
| "natural_language_inference::validation_matched_f1": 3496, |
| "natural_language_inference::validation_mismatched_accuracy": 3497, |
| "natural_language_inference::validation_mismatched_f1": 3498, |
| "natural_language_queries::r@1_iou=0.3": 3499, |
| "natural_language_to_bash_translation::intercode-alfa": 3500, |
| "natural_language_understanding::accuracy": 3501, |
| "natural_language_understanding::casehold": 3502, |
| "natural_language_visual_grounding::accuracy_%": 3503, |
| "natural_lenguage_inference::accuracy": 3504, |
| "natural_lenguage_inference::f1": 3505, |
| "negative_binomial_glm_parameter_estimation::inference_time_ms": 3506, |
| "negative_binomial_glm_parameter_estimation::log_fold_change_mae": 3507, |
| "nep_glue::overall_score": 3508, |
| "nepali_speech_recognition::test_wer": 3509, |
| "ner::accuracy": 3510, |
| "ner::eval_accuracy": 3511, |
| "ner::eval_f1": 3512, |
| "ner::eval_loss": 3513, |
| "ner::eval_precision": 3514, |
| "ner::eval_recall": 3515, |
| "ner::f1": 3516, |
| "ner::macro_f1": 3517, |
| "ner::ner_f_score": 3518, |
| "ner::ner_precision": 3519, |
| "ner::ner_recall": 3520, |
| "ner::precision": 3521, |
| "ner::recall": 3522, |
| "ner::test_f1_callsign": 3523, |
| "ner::test_f1_command": 3524, |
| "ner::test_f1_value": 3525, |
| "ner_9_tags::f1": 3526, |
| "ner_9_tags::retention_%": 3527, |
| "ner_f1_score::average_latency_ms": 3528, |
| "ner_f1_score::ner_f1_score": 3529, |
| "ner_f1_score::precision": 3530, |
| "ner_f1_score::recall": 3531, |
| "network_pruning::top-1_accuracy": 3532, |
| "neural_architecture_search::top-1_error_rate": 3533, |
| "news_classification::accuracy": 3534, |
| "news_classification::f1_weighted": 3535, |
| "news_summarization::avg._test_bertscore": 3536, |
| "news_summarization::bertscore": 3537, |
| "news_summarization::rouge1": 3538, |
| "news_summarization::test_bertscore_fanpage": 3539, |
| "news_summarization::test_bertscore_ilpost": 3540, |
| "news_summarization::test_rouge1": 3541, |
| "news_summarization::test_rouge1_fanpage": 3542, |
| "news_summarization::test_rouge1_ilpost": 3543, |
| "news_summarization::test_rouge2": 3544, |
| "news_summarization::test_rouge2_fanpage": 3545, |
| "news_summarization::test_rouge2_ilpost": 3546, |
| "news_summarization::test_rougel": 3547, |
| "news_summarization::test_rougel_fanpage": 3548, |
| "news_summarization::test_rougel_ilpost": 3549, |
| "nfcorpus::map@10": 3550, |
| "nfcorpus::mrr@10": 3551, |
| "nfcorpus::ndcg@10": 3552, |
| "nfcorpus::recall@10": 3553, |
| "node_classification::accuracy": 3554, |
| "non_thinking::accuracy": 3555, |
| "nsfw_explicit_content::test_accuracy": 3556, |
| "nsfw_explicit_content::test_auc": 3557, |
| "object_categorization::categorization_ablation": 3558, |
| "object_classification::map50": 3559, |
| "object_classification::map50-95": 3560, |
| "object_classification::precision": 3561, |
| "object_classification::recall": 3562, |
| "object_counting::accuracy": 3563, |
| "object_detection::accuracy": 3564, |
| "object_detection::ap": 3565, |
| "object_detection::ap50": 3566, |
| "object_detection::ap75": 3567, |
| "object_detection::ap@_.5": 3568, |
| "object_detection::ap@_.5_.95": 3569, |
| "object_detection::ap@_.75": 3570, |
| "object_detection::ap@iou=0.50": 3571, |
| "object_detection::ap@iou=0.75": 3572, |
| "object_detection::ap_@_iou=0.50:0.95_|_area=all_|_maxdets=100": 3573, |
| "object_detection::ap_@_iou=0.50:0.95_|_area=large_|_maxdets=100": 3574, |
| "object_detection::ap_@_iou=0.50:0.95_|_area=medium_|_maxdets=100": 3575, |
| "object_detection::ap_@_iou=0.50:0.95_|_area=small_|_maxdets=100": 3576, |
| "object_detection::ap_@_iou=0.50_|_area=all_|_maxdets=100": 3577, |
| "object_detection::ap_@_iou=0.75_|_area=all_|_maxdets=100": 3578, |
| "object_detection::ap_iou=0.50:0.95": 3579, |
| "object_detection::apl_large_objects": 3580, |
| "object_detection::apm_medium_objects": 3581, |
| "object_detection::aps_small_objects": 3582, |
| "object_detection::ar@0.50": 3583, |
| "object_detection::ar@0.75": 3584, |
| "object_detection::ar@_iou=0.50:0.95_|_maxdets=100": 3585, |
| "object_detection::ar_@_iou=0.50:0.95_|_area=all_|_maxdets=1": 3586, |
| "object_detection::ar_@_iou=0.50:0.95_|_area=all_|_maxdets=10": 3587, |
| "object_detection::ar_@_iou=0.50:0.95_|_area=all_|_maxdets=100": 3588, |
| "object_detection::ar_@_iou=0.50:0.95_|_area=large_|_maxdets=100": 3589, |
| "object_detection::ar_@_iou=0.50:0.95_|_area=medium_|_maxdets=100": 3590, |
| "object_detection::ar_@_iou=0.50:0.95_|_area=small_|_maxdets=100": 3591, |
| "object_detection::average_precision": 3592, |
| "object_detection::average_recall@iou:0.5-0.95": 3593, |
| "object_detection::box_ap": 3594, |
| "object_detection::box_map": 3595, |
| "object_detection::coco-style_ap": 3596, |
| "object_detection::f1": 3597, |
| "object_detection::fitness": 3598, |
| "object_detection::hallucination_reduction_near-ood": 3599, |
| "object_detection::iou": 3600, |
| "object_detection::map": 3601, |
| "object_detection::map50": 3602, |
| "object_detection::map50-95": 3603, |
| "object_detection::map@0.5": 3604, |
| "object_detection::map@0.50": 3605, |
| "object_detection::map@0.5:0.95": 3606, |
| "object_detection::map@0.5_box": 3607, |
| "object_detection::map@0.75": 3608, |
| "object_detection::map@50": 3609, |
| "object_detection::map@50-95": 3610, |
| "object_detection::map@_iou=0.50:0.95": 3611, |
| "object_detection::mcap": 3612, |
| "object_detection::mean_average_precision": 3613, |
| "object_detection::mean_average_precision@iou_0.50": 3614, |
| "object_detection::mean_average_precision@iou_0.75": 3615, |
| "object_detection::mean_average_precision_iou=0.5": 3616, |
| "object_detection::mean_average_precision_iou=0.5:0.95": 3617, |
| "object_detection::overall_precision": 3618, |
| "object_detection::precision": 3619, |
| "object_detection::recall": 3620, |
| "object_detection::weed_precision": 3621, |
| "object_localization::localization_ablation": 3622, |
| "object_navigation::spl_val": 3623, |
| "object_navigation::sr_val": 3624, |
| "object_oriented_navigation::spl_test_unseen": 3625, |
| "object_oriented_navigation::spl_val_unseen": 3626, |
| "object_oriented_navigation::sr_test_unseen": 3627, |
| "object_oriented_navigation::sr_val_unseen": 3628, |
| "object_rearrangement::pos-level0": 3629, |
| "object_recognition::shape_bias": 3630, |
| "object_tracking::hota": 3631, |
| "object_tracking::precision_rate": 3632, |
| "object_visual_presence_verification::accuracy": 3633, |
| "obqa::accuracy": 3634, |
| "ocr::validation_loss": 3635, |
| "omni_math::korean_response_ratio": 3636, |
| "omni_math::score": 3637, |
| "omni_math::think_step_length": 3638, |
| "online_beat_tracking::f1": 3639, |
| "open_domain_question_answering::exact_match": 3640, |
| "open_information_extraction::f1": 3641, |
| "open_vocabulary_object_detection::ap_novel-lvis_base_training": 3642, |
| "open_vocabulary_panoptic_segmentation::pq": 3643, |
| "open_vocabulary_semantic_segmentation::miou": 3644, |
| "openai_gym::action_repetition": 3645, |
| "openai_gym::average_decisions": 3646, |
| "openai_gym::mean_reward": 3647, |
| "openapi_code_completion::correctness_avg._%": 3648, |
| "openbookqa_facts::accuracy": 3649, |
| "optical_character_recognition::character_accuracy": 3650, |
| "optical_character_recognition::character_error_rate": 3651, |
| "optical_character_recognition::character_error_rate_cer": 3652, |
| "optical_character_recognition::word_error_rate": 3653, |
| "optical_character_recognition_ocr::accuracy_%": 3654, |
| "optical_flow_estimation::1px_total": 3655, |
| "optical_flow_estimation::average_end-point_error": 3656, |
| "optical_flow_estimation::epe": 3657, |
| "optical_flow_estimation::fl-all": 3658, |
| "orangesum::rouge-1": 3659, |
| "orangesum::rouge-2": 3660, |
| "orangesum::rouge_l": 3661, |
| "original_capability::exact_match_strict-match": 3662, |
| "original_capability::exact_match_strict-match_meta_arc_0shot_instruct": 3663, |
| "original_capability::exact_match_strict-match_meta_gpqa_0shot_cot_instruct": 3664, |
| "original_capability::exact_match_strict-match_meta_mmlu_0shot_instruct": 3665, |
| "original_capability::exact_match_strict-match_meta_mmlu_pro_5shot_instruct": 3666, |
| "original_capability::exact_match_strict-match_original_capability_instruct": 3667, |
| "osteoporosis_risk_prediction::f1-score": 3668, |
| "out_of_distribution_detection::ap": 3669, |
| "out_of_distribution_detection::auroc": 3670, |
| "out_of_distribution_detection::fpr95": 3671, |
| "pair_classification::score": 3672, |
| "pairclassification::accuracy": 3673, |
| "pairclassification::accuracy_threshold": 3674, |
| "pairclassification::ap": 3675, |
| "pairclassification::cos_sim_accuracy": 3676, |
| "pairclassification::cos_sim_accuracy_threshold": 3677, |
| "pairclassification::cos_sim_ap": 3678, |
| "pairclassification::cos_sim_f1": 3679, |
| "pairclassification::cos_sim_f1_threshold": 3680, |
| "pairclassification::cos_sim_precision": 3681, |
| "pairclassification::cos_sim_recall": 3682, |
| "pairclassification::cosine_accuracy": 3683, |
| "pairclassification::cosine_accuracy_threshold": 3684, |
| "pairclassification::cosine_ap": 3685, |
| "pairclassification::cosine_f1": 3686, |
| "pairclassification::cosine_f1_threshold": 3687, |
| "pairclassification::cosine_precision": 3688, |
| "pairclassification::cosine_recall": 3689, |
| "pairclassification::dot_accuracy": 3690, |
| "pairclassification::dot_accuracy_threshold": 3691, |
| "pairclassification::dot_ap": 3692, |
| "pairclassification::dot_f1": 3693, |
| "pairclassification::dot_f1_threshold": 3694, |
| "pairclassification::dot_precision": 3695, |
| "pairclassification::dot_recall": 3696, |
| "pairclassification::dot_sim_accuracy": 3697, |
| "pairclassification::dot_sim_ap": 3698, |
| "pairclassification::euclidean_accuracy": 3699, |
| "pairclassification::euclidean_accuracy_threshold": 3700, |
| "pairclassification::euclidean_ap": 3701, |
| "pairclassification::euclidean_f1": 3702, |
| "pairclassification::euclidean_f1_threshold": 3703, |
| "pairclassification::euclidean_precision": 3704, |
| "pairclassification::euclidean_recall": 3705, |
| "pairclassification::f1": 3706, |
| "pairclassification::f1_threshold": 3707, |
| "pairclassification::main_score": 3708, |
| "pairclassification::manhattan_accuracy": 3709, |
| "pairclassification::manhattan_accuracy_threshold": 3710, |
| "pairclassification::manhattan_ap": 3711, |
| "pairclassification::manhattan_f1": 3712, |
| "pairclassification::manhattan_f1_threshold": 3713, |
| "pairclassification::manhattan_precision": 3714, |
| "pairclassification::manhattan_recall": 3715, |
| "pairclassification::max_accuracy": 3716, |
| "pairclassification::max_ap": 3717, |
| "pairclassification::max_f1": 3718, |
| "pairclassification::max_precision": 3719, |
| "pairclassification::max_recall": 3720, |
| "pairclassification::precision": 3721, |
| "pairclassification::recall": 3722, |
| "pairclassification::similarity_accuracy": 3723, |
| "pairclassification::similarity_accuracy_threshold": 3724, |
| "pairclassification::similarity_ap": 3725, |
| "pairclassification::similarity_f1": 3726, |
| "pairclassification::similarity_f1_threshold": 3727, |
| "pairclassification::similarity_precision": 3728, |
| "pairclassification::similarity_recall": 3729, |
| "pairwise_preference_ranking::pairwise_accuracy": 3730, |
| "panoptic_segmentation::pq": 3731, |
| "panoptic_segmentation::pqst": 3732, |
| "paraphrase_detection::accuracy": 3733, |
| "paraphrase_detection::f1": 3734, |
| "paraphrase_identification::accuracy": 3735, |
| "paraphrase_identification::f1": 3736, |
| "paraphrase_mining::average_precision": 3737, |
| "paraphrase_mining::f1": 3738, |
| "paraphrase_mining::precision": 3739, |
| "paraphrase_mining::recall": 3740, |
| "paraphrase_mining::threshold": 3741, |
| "parking_space_occupancy::f1-score": 3742, |
| "part_aware_panoptic_segmentation::partpq": 3743, |
| "part_of_speech_tagging::accuracy": 3744, |
| "part_of_speech_tagging::f1": 3745, |
| "part_of_speech_tagging::f1_macro": 3746, |
| "part_of_speech_tagging::precision": 3747, |
| "part_of_speech_tagging::recall": 3748, |
| "part_of_speech_tagging::upos": 3749, |
| "part_of_speech_tagging::upos_accuracy": 3750, |
| "part_of_speech_tagging::xpos_accuracy": 3751, |
| "participant_intervention_comparison_outcome_extraction::f1": 3752, |
| "pass@1": 3753, |
| "pass@1_0-shot_cot": 3754, |
| "passage_ranking::mrr@10": 3755, |
| "passage_reranking::mrr@10": 3756, |
| "passage_reranking::recall@10": 3757, |
| "passage_reranking::recall@100": 3758, |
| "passage_reranking::recall@500": 3759, |
| "passage_retrieval::map@10": 3760, |
| "passage_retrieval::mrr@10": 3761, |
| "passage_retrieval::ndcg@10": 3762, |
| "passage_retrieval::recall@10": 3763, |
| "passage_retrieval::recall@100": 3764, |
| "passage_retrieval::recall@1000": 3765, |
| "passage_retrieval::recall@500": 3766, |
| "path_reconstruction::mse_masked;_dims=x/y": 3767, |
| "pdf_to_json_lab_test_data_conversion::macro_f1": 3768, |
| "pdf_to_json_lab_test_data_conversion::micro_f1": 3769, |
| "pedestrian_detection::ap": 3770, |
| "pedestrian_detection::reasonable_miss_rate": 3771, |
| "perception_test::accuracy": 3772, |
| "person_identification::accuracy_%": 3773, |
| "person_re_identification::map": 3774, |
| "person_re_identification::rank-1": 3775, |
| "person_re_identification::rank-1_all_search": 3776, |
| "personalized_image_generation::concept_preservation_cp": 3777, |
| "personalized_segmentation::miou": 3778, |
| "phoneme_classification::phoneme_error_rate": 3779, |
| "phoneme_classification::phoneme_group_error_rate": 3780, |
| "phoneme_recognition::cer": 3781, |
| "phoneme_recognition::phone_error_rate": 3782, |
| "phrase_grounding::r@1": 3783, |
| "pick_and_place::per-joint_success_rate_5%_tolerance": 3784, |
| "pii_masking::accuracy": 3785, |
| "pii_masking::f1": 3786, |
| "pii_masking::precision": 3787, |
| "pii_masking::recall": 3788, |
| "pii_masking_and_classification::accuracy": 3789, |
| "pii_masking_and_classification::f1": 3790, |
| "pii_masking_and_classification::precision": 3791, |
| "pii_masking_and_classification::recall": 3792, |
| "pii_routing::f1": 3793, |
| "piqa::accuracy": 3794, |
| "piqa::accuracy_norm": 3795, |
| "piqa_problem_solving::accuracy": 3796, |
| "pitch_angle_tracking_control::best_evaluation_reward": 3797, |
| "pitch_angle_tracking_control::dynamics_model_mse_loss": 3798, |
| "pitch_angle_tracking_control::iae": 3799, |
| "pitch_angle_tracking_control::ise": 3800, |
| "pitch_angle_tracking_control::itae": 3801, |
| "pitch_angle_tracking_control::oscillation_count": 3802, |
| "pitch_angle_tracking_control::overshoot_%": 3803, |
| "pitch_angle_tracking_control::peak_time_s": 3804, |
| "pitch_angle_tracking_control::performance_index": 3805, |
| "pitch_angle_tracking_control::rise_time_s": 3806, |
| "pitch_angle_tracking_control::settling_time_s": 3807, |
| "pitch_angle_tracking_control::static_error": 3808, |
| "planetary_recognition_lattice::coherence_%": 3809, |
| "planetary_recognition_lattice::recognition-of-done": 3810, |
| "plant_disease_classification::accuracy": 3811, |
| "plant_disease_classification::f1": 3812, |
| "poems_annotation_generation::bertscore_mean_f1": 3813, |
| "poems_annotation_generation::bertscore_mean_precision": 3814, |
| "poems_annotation_generation::bertscore_mean_recall": 3815, |
| "poems_annotation_generation::bleu": 3816, |
| "poems_annotation_generation::bleurt_mean": 3817, |
| "poems_annotation_generation::rouge1": 3818, |
| "point_cloud_classification::mean_corruption_error_mce": 3819, |
| "point_cloud_segmentation::mean_corruption_error_mce": 3820, |
| "point_clouds::mean_f1_intermediate": 3821, |
| "popular_aggregated_benchmark::accuracy": 3822, |
| "pos::f1": 3823, |
| "pos::macro_f1": 3824, |
| "pos::pos_upos_accuracy": 3825, |
| "pos::precision": 3826, |
| "pos::recall": 3827, |
| "pos_tagging::accuracy": 3828, |
| "pos_tagging::macro_f1": 3829, |
| "pos_tagging::test_accuracy": 3830, |
| "pos_tagging::test_macro_f1": 3831, |
| "pos_tagging::test_micro_f1": 3832, |
| "pos_tagging::weighted_f1": 3833, |
| "pose_estimation::ap": 3834, |
| "pose_estimation::map": 3835, |
| "pose_estimation::pckh-0.5": 3836, |
| "pose_estimation::pckh@0.1": 3837, |
| "pose_estimation::test_ap": 3838, |
| "potato_late_blight_risk_classification::accuracy": 3839, |
| "potato_late_blight_risk_classification::f1_macro": 3840, |
| "potato_late_blight_risk_classification::precision": 3841, |
| "potato_late_blight_risk_classification::recall": 3842, |
| "preference_evaluation::accuracy": 3843, |
| "pretraining_evaluation::acc_none_meta_mmlu_5shot_pretrain": 3844, |
| "pretraining_evaluation::exact_match_strict-match_meta_bbh_3shot_cot_pretrain": 3845, |
| "pretraining_evaluation::exact_match_strict-match_meta_mmlu_pro_5shot_pretrain": 3846, |
| "pretraining_evaluation::exact_match_strict-match_meta_pretrain": 3847, |
| "product_category_classification::accuracy": 3848, |
| "professional_law::accuracy": 3849, |
| "program_synthesis::pass@1": 3850, |
| "program_synthesis::pass@10": 3851, |
| "program_synthesis::pass@100": 3852, |
| "prompt_engineering::harmonic_mean": 3853, |
| "prompt_engineering::top-1_accuracy_%": 3854, |
| "prompt_generation_dev::avg_target_words": 3855, |
| "prompt_generation_dev::eval_loss": 3856, |
| "prompt_generation_dev::perplexity": 3857, |
| "prompt_generation_test::avg_target_words": 3858, |
| "prompt_generation_test::eval_loss": 3859, |
| "prompt_generation_test::perplexity": 3860, |
| "prompt_harmfulness_classification::average_f1": 3861, |
| "prompt_harmfulness_classification::harmbench_f1": 3862, |
| "prompt_harmfulness_classification::wildguard_total_f1": 3863, |
| "prompt_injection_detection::accuracy": 3864, |
| "prompt_injection_detection::f1": 3865, |
| "prompt_injection_detection::f1_macro": 3866, |
| "prompt_injection_detection::f1_score_threshold=0.94": 3867, |
| "prompt_injection_detection::precision": 3868, |
| "prompt_injection_detection::precision_threshold=0.94": 3869, |
| "prompt_injection_detection::recall": 3870, |
| "prompt_injection_detection::recall_threshold=0.94": 3871, |
| "prompt_injection_detection::roc_auc": 3872, |
| "prompt_safety_classification::accuracy": 3873, |
| "prompt_safety_classification::f1_macro": 3874, |
| "protein_design::perplexity": 3875, |
| "protein_function_prediction::rouge_l": 3876, |
| "protein_secondary_structure_prediction::q3": 3877, |
| "protein_secondary_structure_prediction::q8": 3878, |
| "protein_structure_prediction::validation_perplexity": 3879, |
| "protocol_quality_assessment::expert_rating": 3880, |
| "pubmedqa::accuracy": 3881, |
| "py_late_information_retrieval::maxsim_accuracy@1": 3882, |
| "py_late_information_retrieval::maxsim_accuracy@10": 3883, |
| "py_late_information_retrieval::maxsim_accuracy@3": 3884, |
| "py_late_information_retrieval::maxsim_accuracy@5": 3885, |
| "py_late_information_retrieval::maxsim_map@100": 3886, |
| "py_late_information_retrieval::maxsim_mrr@10": 3887, |
| "py_late_information_retrieval::maxsim_ndcg@10": 3888, |
| "py_late_information_retrieval::maxsim_precision@1": 3889, |
| "py_late_information_retrieval::maxsim_precision@10": 3890, |
| "py_late_information_retrieval::maxsim_precision@3": 3891, |
| "py_late_information_retrieval::maxsim_precision@5": 3892, |
| "py_late_information_retrieval::maxsim_recall@1": 3893, |
| "py_late_information_retrieval::maxsim_recall@10": 3894, |
| "py_late_information_retrieval::maxsim_recall@3": 3895, |
| "py_late_information_retrieval::maxsim_recall@5": 3896, |
| "pytest_edge_case_unit_test_generation::best_eval_loss": 3897, |
| "pytest_unit_test_generation::eval_loss_best": 3898, |
| "python_code_generation::pass@1": 3899, |
| "python_code_synthesis::bleu": 3900, |
| "python_code_synthesis::chrf": 3901, |
| "python_code_synthesis::codebleu": 3902, |
| "python_code_synthesis::exact_match": 3903, |
| "qa::accuracy": 3904, |
| "qa::accuracy_norm": 3905, |
| "qa_span_extraction::f1": 3906, |
| "qa_span_extraction::retention_%": 3907, |
| "qa_viquiquad::exact_match": 3908, |
| "qa_viquiquad::f1": 3909, |
| "qa_xquad::exact_match": 3910, |
| "qa_xquad::f1": 3911, |
| "quantization::top-1_accuracy_%": 3912, |
| "question_answering::accuracy": 3913, |
| "question_answering::accuracy_0-shot": 3914, |
| "question_answering::accuracy_0_shot": 3915, |
| "question_answering::accuracy_25-shot": 3916, |
| "question_answering::accuracy_easy": 3917, |
| "question_answering::accuracy_norm": 3918, |
| "question_answering::alignscore": 3919, |
| "question_answering::bertscore_f1": 3920, |
| "question_answering::bertscore_precision": 3921, |
| "question_answering::bertscore_recall": 3922, |
| "question_answering::best_exact": 3923, |
| "question_answering::best_exact_thresh": 3924, |
| "question_answering::best_f1": 3925, |
| "question_answering::best_f1_thresh": 3926, |
| "question_answering::bleu-2": 3927, |
| "question_answering::confidence_score": 3928, |
| "question_answering::cross-context_retrieval": 3929, |
| "question_answering::direct": 3930, |
| "question_answering::eval_em": 3931, |
| "question_answering::eval_exact": 3932, |
| "question_answering::eval_f1": 3933, |
| "question_answering::eval_hasans_exact": 3934, |
| "question_answering::eval_hasans_f1": 3935, |
| "question_answering::eval_loss": 3936, |
| "question_answering::eval_noans_exact": 3937, |
| "question_answering::eval_noans_f1": 3938, |
| "question_answering::exact": 3939, |
| "question_answering::exact-match": 3940, |
| "question_answering::exact_macth": 3941, |
| "question_answering::exact_match": 3942, |
| "question_answering::f1": 3943, |
| "question_answering::f1_score_decimal": 3944, |
| "question_answering::hamming_score": 3945, |
| "question_answering::hasans_exact": 3946, |
| "question_answering::hasans_f1": 3947, |
| "question_answering::hasans_total": 3948, |
| "question_answering::hits@1": 3949, |
| "question_answering::latency_in_seconds": 3950, |
| "question_answering::loss": 3951, |
| "question_answering::macro_f1_10-fold": 3952, |
| "question_answering::mae": 3953, |
| "question_answering::map": 3954, |
| "question_answering::mc1": 3955, |
| "question_answering::memory_efficiency": 3956, |
| "question_answering::meteor": 3957, |
| "question_answering::micro_f1_score": 3958, |
| "question_answering::mse": 3959, |
| "question_answering::ndcg@10": 3960, |
| "question_answering::noans_exact": 3961, |
| "question_answering::noans_f1": 3962, |
| "question_answering::noans_total": 3963, |
| "question_answering::p@1": 3964, |
| "question_answering::parameter_count": 3965, |
| "question_answering::pearson_correlation": 3966, |
| "question_answering::perplexity": 3967, |
| "question_answering::precision": 3968, |
| "question_answering::qa_accuracy": 3969, |
| "question_answering::r2_score": 3970, |
| "question_answering::race-m": 3971, |
| "question_answering::recall": 3972, |
| "question_answering::rmse": 3973, |
| "question_answering::rouge-1": 3974, |
| "question_answering::rouge-2": 3975, |
| "question_answering::rouge1": 3976, |
| "question_answering::rouge_l": 3977, |
| "question_answering::samples_per_second": 3978, |
| "question_answering::score": 3979, |
| "question_answering::spearman_correlation": 3980, |
| "question_answering::squad_em": 3981, |
| "question_answering::squad_f1": 3982, |
| "question_answering::steps_per_second": 3983, |
| "question_answering::test_em": 3984, |
| "question_answering::test_exact_match": 3985, |
| "question_answering::test_f1": 3986, |
| "question_answering::total": 3987, |
| "question_answering::total_time_in_seconds": 3988, |
| "question_answering::train_runtime_seconds": 3989, |
| "question_answering::training_loss": 3990, |
| "question_answering::wer": 3991, |
| "question_answering_classification::accuracy": 3992, |
| "question_answering_classification::macro_f1": 3993, |
| "question_answering_classification::macro_precision": 3994, |
| "question_answering_classification::macro_recall": 3995, |
| "question_duplicate_detection::accuracy": 3996, |
| "question_generation::bleu": 3997, |
| "question_generation::factspotter": 3998, |
| "question_pair_duplicate_detection::roc_auc": 3999, |
| "radiology_document_retrieval::mrr": 4000, |
| "radiology_document_retrieval::ndcg@10": 4001, |
| "radiology_document_retrieval::recall@10": 4002, |
| "ranking::mrr": 4003, |
| "ranking::ndcg": 4004, |
| "rbc_shape_classification::accuracy": 4005, |
| "rbc_shape_classification::balanced_accuracy": 4006, |
| "rbc_shape_classification::weighted_f1": 4007, |
| "re::f1": 4008, |
| "re::precision": 4009, |
| "re::recall": 4010, |
| "re_writing::micro_avg/rougel": 4011, |
| "reading_comprehension::accuracy": 4012, |
| "reading_comprehension::accuracy_high": 4013, |
| "reading_comprehension::average_f1": 4014, |
| "reading_comprehension::d_bert_:_f1": 4015, |
| "reading_comprehension::test": 4016, |
| "reasoning::accuracy": 4017, |
| "reasoning::accuracy_%": 4018, |
| "reasoning::accuracy_norm": 4019, |
| "reasoning::aime24": 4020, |
| "reasoning::aime24-th": 4021, |
| "reasoning::openthaigpt": 4022, |
| "reasoning::pass@1": 4023, |
| "reasoning::pass@32": 4024, |
| "reasoning_quality_classification::classification_accuracy": 4025, |
| "reasoning_quality_classification::reasoning_quality_score": 4026, |
| "receipt_entity_extraction::macro_avg_f1-score": 4027, |
| "receipt_entity_extraction::overall_accuracy": 4028, |
| "receipt_entity_extraction::overall_f1_weighted_avg": 4029, |
| "receipt_entity_extraction::overall_precision_weighted_avg": 4030, |
| "receipt_entity_extraction::overall_recall_weighted_avg": 4031, |
| "recognizing_emotion_cause_in_conversations::exact_span_f1": 4032, |
| "referring_expression_grounding::accuracy_@_iou_0.5": 4033, |
| "referring_expression_grounding::mean_iou": 4034, |
| "referring_expression_segmentation::ap": 4035, |
| "referring_expression_segmentation::j&f": 4036, |
| "referring_expression_segmentation::overall_iou": 4037, |
| "refusal_detection::accuracy": 4038, |
| "refusal_detection::loss": 4039, |
| "refusal_detection::wildguard_total_f1": 4040, |
| "refusal_detection::xstest_f1": 4041, |
| "region_5_classes::accuracy": 4042, |
| "region_of_interest_detection::intersection_over_union": 4043, |
| "regression::mae": 4044, |
| "regression::mean_absolute_error": 4045, |
| "regression::pearson": 4046, |
| "regression::pearson_correlation": 4047, |
| "regression::r-r2": 4048, |
| "regression::r-squared": 4049, |
| "regression::rmse": 4050, |
| "regression::root_mean_squared_error": 4051, |
| "regression_rmse::rmse": 4052, |
| "regulation_retrieval::ndcg@10": 4053, |
| "regulatory_classification::f1": 4054, |
| "regulatory_guidance::precision": 4055, |
| "reinforcement_learning::accuracy": 4056, |
| "reinforcement_learning::avg@32": 4057, |
| "reinforcement_learning::avg_reward": 4058, |
| "reinforcement_learning::best_eval_reward": 4059, |
| "reinforcement_learning::current_eval_reward": 4060, |
| "reinforcement_learning::epoch": 4061, |
| "reinforcement_learning::max_reward": 4062, |
| "reinforcement_learning::mean_episode_length": 4063, |
| "reinforcement_learning::mean_reward": 4064, |
| "reinforcement_learning::mean_reward_20_episodes": 4065, |
| "reinforcement_learning::min_reward": 4066, |
| "reinforcement_learning::n_evaluation_episodes": 4067, |
| "reinforcement_learning::pass@1": 4068, |
| "reinforcement_learning::std_reward": 4069, |
| "reinforcement_learning::success_rate": 4070, |
| "reinforcement_learning::total_reward_mean": 4071, |
| "reinforcement_learning::total_timesteps": 4072, |
| "reinforcement_learning::trueskill": 4073, |
| "reinforcement_learning_for_quadrangular_mesh_topological_optimization::normalized_return": 4074, |
| "reinforcement_learning_teaching::average_accuracy_improvement": 4075, |
| "reinforcement_learning_teaching::non-degradation_rate": 4076, |
| "reinforcement_learning_teaching::response_token_reduction": 4077, |
| "reinforcement_learning_teaching::task_completion_rate_improvement": 4078, |
| "relation_classification::f1": 4079, |
| "relation_classification::test/f1": 4080, |
| "relation_extraction::f1": 4081, |
| "relation_extraction::macro_f1": 4082, |
| "relation_extraction::micro_f1": 4083, |
| "relation_extraction::re+_micro_f1": 4084, |
| "relation_extraction::weighted_f1": 4085, |
| "relation_mapping::accuracy": 4086, |
| "remote_sensing_image_classification::accuracy_%": 4087, |
| "representation_learning::avg.": 4088, |
| "requirement_classification::accuracy": 4089, |
| "reranking::main_score": 4090, |
| "reranking::map": 4091, |
| "reranking::map@1000_miracl": 4092, |
| "reranking::map@100_miracl": 4093, |
| "reranking::map@10_miracl": 4094, |
| "reranking::map@1_miracl": 4095, |
| "reranking::map@20_miracl": 4096, |
| "reranking::map@3_miracl": 4097, |
| "reranking::map@5_miracl": 4098, |
| "reranking::mrr": 4099, |
| "reranking::mrr@1": 4100, |
| "reranking::mrr@10": 4101, |
| "reranking::mrr_1": 4102, |
| "reranking::mrr_10": 4103, |
| "reranking::mrr_5": 4104, |
| "reranking::nauc_map@1000_diff1_miracl": 4105, |
| "reranking::nauc_map@1000_max_miracl": 4106, |
| "reranking::nauc_map@1000_std_miracl": 4107, |
| "reranking::nauc_map@100_diff1_miracl": 4108, |
| "reranking::nauc_map@100_max_miracl": 4109, |
| "reranking::nauc_map@100_std_miracl": 4110, |
| "reranking::nauc_map@10_diff1_miracl": 4111, |
| "reranking::nauc_map@10_max_miracl": 4112, |
| "reranking::nauc_map@10_std_miracl": 4113, |
| "reranking::nauc_map@1_diff1_miracl": 4114, |
| "reranking::nauc_map@1_max_miracl": 4115, |
| "reranking::nauc_map@1_std_miracl": 4116, |
| "reranking::nauc_map@20_diff1_miracl": 4117, |
| "reranking::nauc_map@20_max_miracl": 4118, |
| "reranking::nauc_map@20_std_miracl": 4119, |
| "reranking::nauc_map@3_diff1_miracl": 4120, |
| "reranking::nauc_map@3_max_miracl": 4121, |
| "reranking::nauc_map@3_std_miracl": 4122, |
| "reranking::nauc_map@5_diff1_miracl": 4123, |
| "reranking::nauc_map@5_max_miracl": 4124, |
| "reranking::nauc_map@5_std_miracl": 4125, |
| "reranking::nauc_map_diff1": 4126, |
| "reranking::nauc_map_max": 4127, |
| "reranking::nauc_map_std": 4128, |
| "reranking::nauc_mrr_diff1": 4129, |
| "reranking::nauc_mrr_max": 4130, |
| "reranking::nauc_mrr_std": 4131, |
| "reranking::nauc_ndcg@1000_diff1_miracl": 4132, |
| "reranking::nauc_ndcg@1000_max_miracl": 4133, |
| "reranking::nauc_ndcg@1000_std_miracl": 4134, |
| "reranking::nauc_ndcg@100_diff1_miracl": 4135, |
| "reranking::nauc_ndcg@100_max_miracl": 4136, |
| "reranking::nauc_ndcg@100_std_miracl": 4137, |
| "reranking::nauc_ndcg@10_diff1_miracl": 4138, |
| "reranking::nauc_ndcg@10_max_miracl": 4139, |
| "reranking::nauc_ndcg@10_std_miracl": 4140, |
| "reranking::nauc_ndcg@1_diff1_miracl": 4141, |
| "reranking::nauc_ndcg@1_max_miracl": 4142, |
| "reranking::nauc_ndcg@1_std_miracl": 4143, |
| "reranking::nauc_ndcg@20_diff1_miracl": 4144, |
| "reranking::nauc_ndcg@20_max_miracl": 4145, |
| "reranking::nauc_ndcg@20_std_miracl": 4146, |
| "reranking::nauc_ndcg@3_diff1_miracl": 4147, |
| "reranking::nauc_ndcg@3_max_miracl": 4148, |
| "reranking::nauc_ndcg@3_std_miracl": 4149, |
| "reranking::nauc_ndcg@5_diff1_miracl": 4150, |
| "reranking::nauc_ndcg@5_max_miracl": 4151, |
| "reranking::nauc_ndcg@5_std_miracl": 4152, |
| "reranking::nauc_p@1000_diff1_miracl": 4153, |
| "reranking::nauc_p@1000_max_miracl": 4154, |
| "reranking::nauc_p@1000_std_miracl": 4155, |
| "reranking::nauc_p@100_diff1_miracl": 4156, |
| "reranking::nauc_p@100_max_miracl": 4157, |
| "reranking::nauc_p@100_std_miracl": 4158, |
| "reranking::nauc_p@10_diff1_miracl": 4159, |
| "reranking::nauc_p@10_max_miracl": 4160, |
| "reranking::nauc_p@10_std_miracl": 4161, |
| "reranking::nauc_p@1_diff1_miracl": 4162, |
| "reranking::nauc_p@1_max_miracl": 4163, |
| "reranking::nauc_p@1_std_miracl": 4164, |
| "reranking::nauc_p@20_diff1_miracl": 4165, |
| "reranking::nauc_p@20_max_miracl": 4166, |
| "reranking::nauc_p@20_std_miracl": 4167, |
| "reranking::nauc_p@3_diff1_miracl": 4168, |
| "reranking::nauc_p@3_max_miracl": 4169, |
| "reranking::nauc_p@3_std_miracl": 4170, |
| "reranking::nauc_p@5_diff1_miracl": 4171, |
| "reranking::nauc_p@5_max_miracl": 4172, |
| "reranking::nauc_p@5_std_miracl": 4173, |
| "reranking::nauc_recall@1000_diff1_miracl": 4174, |
| "reranking::nauc_recall@1000_max_miracl": 4175, |
| "reranking::nauc_recall@1000_std_miracl": 4176, |
| "reranking::nauc_recall@100_diff1_miracl": 4177, |
| "reranking::nauc_recall@100_max_miracl": 4178, |
| "reranking::nauc_recall@100_std_miracl": 4179, |
| "reranking::nauc_recall@10_diff1_miracl": 4180, |
| "reranking::nauc_recall@10_max_miracl": 4181, |
| "reranking::nauc_recall@10_std_miracl": 4182, |
| "reranking::nauc_recall@1_diff1_miracl": 4183, |
| "reranking::nauc_recall@1_max_miracl": 4184, |
| "reranking::nauc_recall@1_std_miracl": 4185, |
| "reranking::nauc_recall@20_diff1_miracl": 4186, |
| "reranking::nauc_recall@20_max_miracl": 4187, |
| "reranking::nauc_recall@20_std_miracl": 4188, |
| "reranking::nauc_recall@3_diff1_miracl": 4189, |
| "reranking::nauc_recall@3_max_miracl": 4190, |
| "reranking::nauc_recall@3_std_miracl": 4191, |
| "reranking::nauc_recall@5_diff1_miracl": 4192, |
| "reranking::nauc_recall@5_max_miracl": 4193, |
| "reranking::nauc_recall@5_std_miracl": 4194, |
| "reranking::ndcg@1": 4195, |
| "reranking::ndcg@10": 4196, |
| "reranking::ndcg@1000_miracl": 4197, |
| "reranking::ndcg@100_miracl": 4198, |
| "reranking::ndcg@10_miracl": 4199, |
| "reranking::ndcg@1_miracl": 4200, |
| "reranking::ndcg@20_miracl": 4201, |
| "reranking::ndcg@3_miracl": 4202, |
| "reranking::ndcg@5_miracl": 4203, |
| "reranking::p@1000_miracl": 4204, |
| "reranking::p@100_miracl": 4205, |
| "reranking::p@10_miracl": 4206, |
| "reranking::p@1_miracl": 4207, |
| "reranking::p@20_miracl": 4208, |
| "reranking::p@3_miracl": 4209, |
| "reranking::p@5_miracl": 4210, |
| "reranking::recall@1000_miracl": 4211, |
| "reranking::recall@100_miracl": 4212, |
| "reranking::recall@10_miracl": 4213, |
| "reranking::recall@1_miracl": 4214, |
| "reranking::recall@20_miracl": 4215, |
| "reranking::recall@3_miracl": 4216, |
| "reranking::recall@5_miracl": 4217, |
| "reranking::score": 4218, |
| "reranking_query_product_relevance::ndcg@10": 4219, |
| "reranking_query_product_relevance::ndcg@5": 4220, |
| "response_generation::bleu": 4221, |
| "response_harmfulness_classification::average_f1": 4222, |
| "response_harmfulness_classification::harmbench_f1": 4223, |
| "resume_classification::matthews_correlation_coefficient": 4224, |
| "resume_classification::validation_accuracy": 4225, |
| "retinal_vessel_segmentation::dice_score": 4226, |
| "retrieval::accuracy@10": 4227, |
| "retrieval::accuracy@3": 4228, |
| "retrieval::accuracy@5": 4229, |
| "retrieval::cos_sim-map@100": 4230, |
| "retrieval::cos_sim-mrr@10": 4231, |
| "retrieval::cos_sim-ndcg@10": 4232, |
| "retrieval::cos_sim-recall@5": 4233, |
| "retrieval::dot_score-map@100": 4234, |
| "retrieval::dot_score-mrr@10": 4235, |
| "retrieval::dot_score-ndcg@10": 4236, |
| "retrieval::dot_score-recall@5": 4237, |
| "retrieval::embedding_dimension": 4238, |
| "retrieval::main_score": 4239, |
| "retrieval::map@1": 4240, |
| "retrieval::map@10": 4241, |
| "retrieval::map@100": 4242, |
| "retrieval::map@1000": 4243, |
| "retrieval::map@2": 4244, |
| "retrieval::map@20": 4245, |
| "retrieval::map@200": 4246, |
| "retrieval::map@3": 4247, |
| "retrieval::map@30": 4248, |
| "retrieval::map@300": 4249, |
| "retrieval::map@5": 4250, |
| "retrieval::map@50": 4251, |
| "retrieval::map@500": 4252, |
| "retrieval::map@7": 4253, |
| "retrieval::map@70": 4254, |
| "retrieval::map@700": 4255, |
| "retrieval::mrr": 4256, |
| "retrieval::mrr@1": 4257, |
| "retrieval::mrr@10": 4258, |
| "retrieval::mrr@100": 4259, |
| "retrieval::mrr@1000": 4260, |
| "retrieval::mrr@2": 4261, |
| "retrieval::mrr@20": 4262, |
| "retrieval::mrr@200": 4263, |
| "retrieval::mrr@3": 4264, |
| "retrieval::mrr@30": 4265, |
| "retrieval::mrr@300": 4266, |
| "retrieval::mrr@5": 4267, |
| "retrieval::mrr@50": 4268, |
| "retrieval::mrr@500": 4269, |
| "retrieval::mrr@7": 4270, |
| "retrieval::mrr@70": 4271, |
| "retrieval::mrr@700": 4272, |
| "retrieval::nauc_map@1000_diff1": 4273, |
| "retrieval::nauc_map@1000_max": 4274, |
| "retrieval::nauc_map@1000_std": 4275, |
| "retrieval::nauc_map@100_diff1": 4276, |
| "retrieval::nauc_map@100_max": 4277, |
| "retrieval::nauc_map@100_std": 4278, |
| "retrieval::nauc_map@10_diff1": 4279, |
| "retrieval::nauc_map@10_max": 4280, |
| "retrieval::nauc_map@10_std": 4281, |
| "retrieval::nauc_map@1_diff1": 4282, |
| "retrieval::nauc_map@1_max": 4283, |
| "retrieval::nauc_map@1_std": 4284, |
| "retrieval::nauc_map@20_diff1": 4285, |
| "retrieval::nauc_map@20_max": 4286, |
| "retrieval::nauc_map@20_std": 4287, |
| "retrieval::nauc_map@3_diff1": 4288, |
| "retrieval::nauc_map@3_max": 4289, |
| "retrieval::nauc_map@3_std": 4290, |
| "retrieval::nauc_map@5_diff1": 4291, |
| "retrieval::nauc_map@5_max": 4292, |
| "retrieval::nauc_map@5_std": 4293, |
| "retrieval::nauc_mrr@1000_diff1": 4294, |
| "retrieval::nauc_mrr@1000_max": 4295, |
| "retrieval::nauc_mrr@1000_std": 4296, |
| "retrieval::nauc_mrr@100_diff1": 4297, |
| "retrieval::nauc_mrr@100_max": 4298, |
| "retrieval::nauc_mrr@100_std": 4299, |
| "retrieval::nauc_mrr@10_diff1": 4300, |
| "retrieval::nauc_mrr@10_max": 4301, |
| "retrieval::nauc_mrr@10_std": 4302, |
| "retrieval::nauc_mrr@1_diff1": 4303, |
| "retrieval::nauc_mrr@1_max": 4304, |
| "retrieval::nauc_mrr@1_std": 4305, |
| "retrieval::nauc_mrr@20_diff1": 4306, |
| "retrieval::nauc_mrr@20_max": 4307, |
| "retrieval::nauc_mrr@20_std": 4308, |
| "retrieval::nauc_mrr@3_diff1": 4309, |
| "retrieval::nauc_mrr@3_max": 4310, |
| "retrieval::nauc_mrr@3_std": 4311, |
| "retrieval::nauc_mrr@5_diff1": 4312, |
| "retrieval::nauc_mrr@5_max": 4313, |
| "retrieval::nauc_mrr@5_std": 4314, |
| "retrieval::nauc_ndcg@1000_diff1": 4315, |
| "retrieval::nauc_ndcg@1000_max": 4316, |
| "retrieval::nauc_ndcg@1000_std": 4317, |
| "retrieval::nauc_ndcg@100_diff1": 4318, |
| "retrieval::nauc_ndcg@100_max": 4319, |
| "retrieval::nauc_ndcg@100_std": 4320, |
| "retrieval::nauc_ndcg@10_diff1": 4321, |
| "retrieval::nauc_ndcg@10_max": 4322, |
| "retrieval::nauc_ndcg@10_std": 4323, |
| "retrieval::nauc_ndcg@1_diff1": 4324, |
| "retrieval::nauc_ndcg@1_max": 4325, |
| "retrieval::nauc_ndcg@1_std": 4326, |
| "retrieval::nauc_ndcg@20_diff1": 4327, |
| "retrieval::nauc_ndcg@20_max": 4328, |
| "retrieval::nauc_ndcg@20_std": 4329, |
| "retrieval::nauc_ndcg@3_diff1": 4330, |
| "retrieval::nauc_ndcg@3_max": 4331, |
| "retrieval::nauc_ndcg@3_std": 4332, |
| "retrieval::nauc_ndcg@5_diff1": 4333, |
| "retrieval::nauc_ndcg@5_max": 4334, |
| "retrieval::nauc_ndcg@5_std": 4335, |
| "retrieval::nauc_precision@1000_diff1": 4336, |
| "retrieval::nauc_precision@1000_max": 4337, |
| "retrieval::nauc_precision@1000_std": 4338, |
| "retrieval::nauc_precision@100_diff1": 4339, |
| "retrieval::nauc_precision@100_max": 4340, |
| "retrieval::nauc_precision@100_std": 4341, |
| "retrieval::nauc_precision@10_diff1": 4342, |
| "retrieval::nauc_precision@10_max": 4343, |
| "retrieval::nauc_precision@10_std": 4344, |
| "retrieval::nauc_precision@1_diff1": 4345, |
| "retrieval::nauc_precision@1_max": 4346, |
| "retrieval::nauc_precision@1_std": 4347, |
| "retrieval::nauc_precision@20_diff1": 4348, |
| "retrieval::nauc_precision@20_max": 4349, |
| "retrieval::nauc_precision@20_std": 4350, |
| "retrieval::nauc_precision@3_diff1": 4351, |
| "retrieval::nauc_precision@3_max": 4352, |
| "retrieval::nauc_precision@3_std": 4353, |
| "retrieval::nauc_precision@5_diff1": 4354, |
| "retrieval::nauc_precision@5_max": 4355, |
| "retrieval::nauc_precision@5_std": 4356, |
| "retrieval::nauc_recall@1000_diff1": 4357, |
| "retrieval::nauc_recall@1000_max": 4358, |
| "retrieval::nauc_recall@1000_std": 4359, |
| "retrieval::nauc_recall@100_diff1": 4360, |
| "retrieval::nauc_recall@100_max": 4361, |
| "retrieval::nauc_recall@100_std": 4362, |
| "retrieval::nauc_recall@10_diff1": 4363, |
| "retrieval::nauc_recall@10_max": 4364, |
| "retrieval::nauc_recall@10_std": 4365, |
| "retrieval::nauc_recall@1_diff1": 4366, |
| "retrieval::nauc_recall@1_max": 4367, |
| "retrieval::nauc_recall@1_std": 4368, |
| "retrieval::nauc_recall@20_diff1": 4369, |
| "retrieval::nauc_recall@20_max": 4370, |
| "retrieval::nauc_recall@20_std": 4371, |
| "retrieval::nauc_recall@3_diff1": 4372, |
| "retrieval::nauc_recall@3_max": 4373, |
| "retrieval::nauc_recall@3_std": 4374, |
| "retrieval::nauc_recall@5_diff1": 4375, |
| "retrieval::nauc_recall@5_max": 4376, |
| "retrieval::nauc_recall@5_std": 4377, |
| "retrieval::ndcg@1": 4378, |
| "retrieval::ndcg@10": 4379, |
| "retrieval::ndcg@100": 4380, |
| "retrieval::ndcg@1000": 4381, |
| "retrieval::ndcg@2": 4382, |
| "retrieval::ndcg@20": 4383, |
| "retrieval::ndcg@200": 4384, |
| "retrieval::ndcg@3": 4385, |
| "retrieval::ndcg@30": 4386, |
| "retrieval::ndcg@300": 4387, |
| "retrieval::ndcg@5": 4388, |
| "retrieval::ndcg@50": 4389, |
| "retrieval::ndcg@500": 4390, |
| "retrieval::ndcg@7": 4391, |
| "retrieval::ndcg@70": 4392, |
| "retrieval::ndcg@700": 4393, |
| "retrieval::precision@1": 4394, |
| "retrieval::precision@10": 4395, |
| "retrieval::precision@100": 4396, |
| "retrieval::precision@1000": 4397, |
| "retrieval::precision@2": 4398, |
| "retrieval::precision@20": 4399, |
| "retrieval::precision@200": 4400, |
| "retrieval::precision@3": 4401, |
| "retrieval::precision@30": 4402, |
| "retrieval::precision@300": 4403, |
| "retrieval::precision@5": 4404, |
| "retrieval::precision@50": 4405, |
| "retrieval::precision@500": 4406, |
| "retrieval::precision@7": 4407, |
| "retrieval::precision@70": 4408, |
| "retrieval::precision@700": 4409, |
| "retrieval::recall@1": 4410, |
| "retrieval::recall@10": 4411, |
| "retrieval::recall@100": 4412, |
| "retrieval::recall@1000": 4413, |
| "retrieval::recall@2": 4414, |
| "retrieval::recall@20": 4415, |
| "retrieval::recall@200": 4416, |
| "retrieval::recall@3": 4417, |
| "retrieval::recall@30": 4418, |
| "retrieval::recall@300": 4419, |
| "retrieval::recall@5": 4420, |
| "retrieval::recall@50": 4421, |
| "retrieval::recall@500": 4422, |
| "retrieval::recall@7": 4423, |
| "retrieval::recall@70": 4424, |
| "retrieval::recall@700": 4425, |
| "retrieval::score": 4426, |
| "reward_hack_detection::accuracy": 4427, |
| "reward_hack_detection::f1": 4428, |
| "reward_modeling::final_loss": 4429, |
| "reward_modeling::reward_gap": 4430, |
| "risk_tolerance_low_medium_high::accuracy": 4431, |
| "risk_tolerance_low_medium_high::log_loss": 4432, |
| "risk_tolerance_low_medium_high::macro_f1": 4433, |
| "robot_control::instruction_accuracy": 4434, |
| "robot_control::validation_loss": 4435, |
| "robot_manipulation::average": 4436, |
| "robot_manipulation::avg._sequence_length_d_to_d": 4437, |
| "robot_manipulation::variant_aggregation": 4438, |
| "robotic_manipulation::avg_reward": 4439, |
| "robotic_manipulation::success_rate": 4440, |
| "robotics::f1": 4441, |
| "robustness_tests::accuracy": 4442, |
| "role_aware_multi_label_abuse_pattern_detection::f1_macro": 4443, |
| "role_aware_multi_label_abuse_pattern_detection::precision_macro": 4444, |
| "role_aware_multi_label_abuse_pattern_detection::recall_macro": 4445, |
| "rouge_1::average_latency_ms": 4446, |
| "rouge_1::compression_ratio": 4447, |
| "rouge_1::rouge-1_f1": 4448, |
| "rouge_1::rouge-2_f1": 4449, |
| "rouge_1::rouge-l_f1": 4450, |
| "rouge_1::semantic_similarity": 4451, |
| "rpg_art_generation::accuracy": 4452, |
| "rst_pointer::f1": 4453, |
| "rst_pointer::f1_nuclearity": 4454, |
| "rst_pointer::f1_relation": 4455, |
| "rst_pointer::f1_span": 4456, |
| "rst_pointer::precision": 4457, |
| "rst_pointer::recall": 4458, |
| "rztkinformation_retrieval::dot_accuracy_10": 4459, |
| "rztkinformation_retrieval::dot_map_60": 4460, |
| "rztkinformation_retrieval::dot_mrr_10": 4461, |
| "rztkinformation_retrieval::dot_ndcg_10": 4462, |
| "rztkinformation_retrieval::dot_precision_10": 4463, |
| "rztkinformation_retrieval::dot_recall_10": 4464, |
| "s2tt::bleu": 4465, |
| "safety_compliance::accuracy": 4466, |
| "safety_compliance::f1": 4467, |
| "sarcasm_detection::accuracy": 4468, |
| "scene_change_detection::f1-score": 4469, |
| "scene_classification::accuracy_%": 4470, |
| "scene_flow_estimation::d1-all": 4471, |
| "scene_segmentation::mean_iou": 4472, |
| "scene_text_recognition::1:1_accuracy": 4473, |
| "scene_text_recognition::accuracy": 4474, |
| "scene_text_recognition::accuracy_%": 4475, |
| "scientific_text_generation::training_loss": 4476, |
| "score": 4477, |
| "secret_detection::f1": 4478, |
| "secret_detection::precision": 4479, |
| "secret_detection::recall": 4480, |
| "secret_detection_long_context::f1": 4481, |
| "secret_detection_long_context::precision": 4482, |
| "secret_detection_long_context::recall": 4483, |
| "segmentation::ar-large": 4484, |
| "segmentation_tasks::accuracy": 4485, |
| "segmentation_tasks::dice": 4486, |
| "segmentation_tasks::dice_coefficient": 4487, |
| "self_supervised_learning::accuracy": 4488, |
| "self_supervised_learning::average_top-1_classification_accuracy": 4489, |
| "self_supervised_learning::top-1_accuracy": 4490, |
| "semantic_entity_labeling::f1": 4491, |
| "semantic_evidence_filtering::accuracy": 4492, |
| "semantic_evidence_filtering::precision": 4493, |
| "semantic_evidence_filtering::recall": 4494, |
| "semantic_evidence_filtering::roc_auc": 4495, |
| "semantic_parsing::accuracy": 4496, |
| "semantic_parsing::accuracy_test": 4497, |
| "semantic_retrieval::soft-f1": 4498, |
| "semantic_search::accuracy@10": 4499, |
| "semantic_search::accuracy@5": 4500, |
| "semantic_search::mrr@10": 4501, |
| "semantic_search::precision@5": 4502, |
| "semantic_search::recall@10": 4503, |
| "semantic_search::recall@5": 4504, |
| "semantic_segmentation::accuracy": 4505, |
| "semantic_segmentation::average_accuracy": 4506, |
| "semantic_segmentation::average_f1": 4507, |
| "semantic_segmentation::average_precision": 4508, |
| "semantic_segmentation::category_miou": 4509, |
| "semantic_segmentation::f1": 4510, |
| "semantic_segmentation::f1-score": 4511, |
| "semantic_segmentation::fscore": 4512, |
| "semantic_segmentation::gflops": 4513, |
| "semantic_segmentation::iou": 4514, |
| "semantic_segmentation::iou_agricultural_land": 4515, |
| "semantic_segmentation::iou_bare_soil": 4516, |
| "semantic_segmentation::iou_brushwood": 4517, |
| "semantic_segmentation::iou_building": 4518, |
| "semantic_segmentation::iou_buildings": 4519, |
| "semantic_segmentation::iou_coniferous": 4520, |
| "semantic_segmentation::iou_deciduous": 4521, |
| "semantic_segmentation::iou_greenhouse": 4522, |
| "semantic_segmentation::iou_herbaceous_vegetation": 4523, |
| "semantic_segmentation::iou_impervious_surface": 4524, |
| "semantic_segmentation::iou_pervious_surface": 4525, |
| "semantic_segmentation::iou_plowed_land": 4526, |
| "semantic_segmentation::iou_snow": 4527, |
| "semantic_segmentation::iou_swimming_pool": 4528, |
| "semantic_segmentation::iou_vineyard": 4529, |
| "semantic_segmentation::iou_water": 4530, |
| "semantic_segmentation::macc": 4531, |
| "semantic_segmentation::mean_iou": 4532, |
| "semantic_segmentation::mean_iou_class": 4533, |
| "semantic_segmentation::miou": 4534, |
| "semantic_segmentation::miou_real": 4535, |
| "semantic_segmentation::miou_test": 4536, |
| "semantic_segmentation::overall_accuracy": 4537, |
| "semantic_segmentation::pixel_accuracy": 4538, |
| "semantic_segmentation::precision": 4539, |
| "semantic_segmentation::recall": 4540, |
| "semantic_segmentation::val_miou": 4541, |
| "semantic_segmentation::validation_miou": 4542, |
| "semantic_similarity::active_dims": 4543, |
| "semantic_similarity::average_improvement_vs_base": 4544, |
| "semantic_similarity::cosine_accuracy": 4545, |
| "semantic_similarity::pearson": 4546, |
| "semantic_similarity::pearson_correlation": 4547, |
| "semantic_similarity::pearson_correlation_cosine_similarity": 4548, |
| "semantic_similarity::pearson_cosine": 4549, |
| "semantic_similarity::pearson_dot": 4550, |
| "semantic_similarity::pearson_euclidean": 4551, |
| "semantic_similarity::pearson_manhattan": 4552, |
| "semantic_similarity::pearson_max": 4553, |
| "semantic_similarity::sparsity_ratio": 4554, |
| "semantic_similarity::spearman": 4555, |
| "semantic_similarity::spearman_ar-ar": 4556, |
| "semantic_similarity::spearman_correlation": 4557, |
| "semantic_similarity::spearman_correlation_cosine_similarity": 4558, |
| "semantic_similarity::spearman_cosine": 4559, |
| "semantic_similarity::spearman_dot": 4560, |
| "semantic_similarity::spearman_en-ar": 4561, |
| "semantic_similarity::spearman_en-de": 4562, |
| "semantic_similarity::spearman_en-en": 4563, |
| "semantic_similarity::spearman_en-tr": 4564, |
| "semantic_similarity::spearman_es-en": 4565, |
| "semantic_similarity::spearman_es-es": 4566, |
| "semantic_similarity::spearman_euclidean": 4567, |
| "semantic_similarity::spearman_fr-en": 4568, |
| "semantic_similarity::spearman_it-en": 4569, |
| "semantic_similarity::spearman_ko-ko": 4570, |
| "semantic_similarity::spearman_manhattan": 4571, |
| "semantic_similarity::spearman_max": 4572, |
| "semantic_similarity::spearman_nl-en": 4573, |
| "semantic_similarity::test_accuracy": 4574, |
| "semantic_similarity::test_f1_score": 4575, |
| "semantic_similarity::training_pearson_cosine": 4576, |
| "semantic_similarity_sts_validation::pearson_cosine": 4577, |
| "semantic_similarity_sts_validation::spearman_cosine": 4578, |
| "semantic_textual_similarity::f1": 4579, |
| "semantic_textual_similarity::pearson_spearman_avg": 4580, |
| "semantic_textual_similarity::spearman_correlation": 4581, |
| "semantic_textual_similarity::spearmanr": 4582, |
| "semantic_textual_similarity_azerbaijani::average_pearson": 4583, |
| "semi_supervised_image_classification::top_5_accuracy": 4584, |
| "semi_supervised_instance_segmentation::mask_ap": 4585, |
| "semi_supervised_video_object_segmentation::eao": 4586, |
| "semi_supervised_video_object_segmentation::f-measure_mean": 4587, |
| "semi_supervised_video_object_segmentation::f-measure_seen": 4588, |
| "semi_supervised_video_object_segmentation::fps": 4589, |
| "semi_supervised_video_object_segmentation::hota_all": 4590, |
| "semi_supervised_video_object_segmentation::j&f": 4591, |
| "semi_supervised_video_object_segmentation::miou": 4592, |
| "sentence_classification::f1": 4593, |
| "sentence_completion::accuracy": 4594, |
| "sentence_embedding::test_pearson_correlation_coefficient": 4595, |
| "sentence_ordering::accuracy": 4596, |
| "sentence_relevance_classification::accuracy": 4597, |
| "sentence_relevance_classification::f1": 4598, |
| "sentence_relevance_classification::precision": 4599, |
| "sentence_relevance_classification::recall": 4600, |
| "sentence_similarity::accuracy": 4601, |
| "sentence_similarity::accuracy@1": 4602, |
| "sentence_similarity::accuracy@10": 4603, |
| "sentence_similarity::accuracy@100": 4604, |
| "sentence_similarity::cosine_accuracy": 4605, |
| "sentence_similarity::cosine_similarity": 4606, |
| "sentence_similarity::emotionclassification": 4607, |
| "sentence_similarity::eval_time": 4608, |
| "sentence_similarity::improvement": 4609, |
| "sentence_similarity::map@1": 4610, |
| "sentence_similarity::map@10": 4611, |
| "sentence_similarity::map@100": 4612, |
| "sentence_similarity::map@20": 4613, |
| "sentence_similarity::map@5": 4614, |
| "sentence_similarity::max_accuracy": 4615, |
| "sentence_similarity::mean_ru": 4616, |
| "sentence_similarity::mrr@1": 4617, |
| "sentence_similarity::mrr@10": 4618, |
| "sentence_similarity::mrr@100": 4619, |
| "sentence_similarity::mrr@20": 4620, |
| "sentence_similarity::mrr@5": 4621, |
| "sentence_similarity::ndcg": 4622, |
| "sentence_similarity::ndcg@1": 4623, |
| "sentence_similarity::ndcg@10": 4624, |
| "sentence_similarity::ndcg@100": 4625, |
| "sentence_similarity::ndcg@20": 4626, |
| "sentence_similarity::ndcg@5": 4627, |
| "sentence_similarity::pearson_correlation_-_stsb_multi_mt_fr": 4628, |
| "sentence_similarity::pre@10": 4629, |
| "sentence_similarity::precision@1": 4630, |
| "sentence_similarity::precision@10": 4631, |
| "sentence_similarity::precision@100": 4632, |
| "sentence_similarity::precision@20": 4633, |
| "sentence_similarity::precision@5": 4634, |
| "sentence_similarity::recall": 4635, |
| "sentence_similarity::recall@1": 4636, |
| "sentence_similarity::recall@10": 4637, |
| "sentence_similarity::recall@100": 4638, |
| "sentence_similarity::recall@1000": 4639, |
| "sentence_similarity::recall@20": 4640, |
| "sentence_similarity::recall@5": 4641, |
| "sentence_similarity::reranking_4_datasets": 4642, |
| "sentence_similarity::retrieval_8_datasets": 4643, |
| "sentence_similarity::spearman_correlation": 4644, |
| "sentence_similarity::sts_8_datasets": 4645, |
| "sentence_similarity::stsbenchmark": 4646, |
| "sentence_similarity::training_loss": 4647, |
| "sentence_similarity::v‑measure_main/sub": 4648, |
| "sentic_gcn::accuracy": 4649, |
| "sentic_gcn::f1": 4650, |
| "sentic_gcn_bert::accuracy": 4651, |
| "sentic_gcn_bert::f1": 4652, |
| "sentiment_analysis::accuracy": 4653, |
| "sentiment_analysis::error": 4654, |
| "sentiment_analysis::eval_loss": 4655, |
| "sentiment_analysis::f1": 4656, |
| "sentiment_analysis::f1_macro": 4657, |
| "sentiment_analysis::f1_negative": 4658, |
| "sentiment_analysis::f1_neutral": 4659, |
| "sentiment_analysis::f1_positive": 4660, |
| "sentiment_analysis::f1_score_weighted": 4661, |
| "sentiment_analysis::f1_weighted": 4662, |
| "sentiment_analysis::logistic_regression_accuracy": 4663, |
| "sentiment_analysis::macro-averaged_f1": 4664, |
| "sentiment_analysis::macro-f1": 4665, |
| "sentiment_analysis::macro_f1": 4666, |
| "sentiment_analysis::naive_bayes_accuracy": 4667, |
| "sentiment_analysis::precision": 4668, |
| "sentiment_analysis::recall": 4669, |
| "sentiment_analysis::test_accuracy": 4670, |
| "sentiment_analysis::test_f1": 4671, |
| "sentiment_analysis::test_loss": 4672, |
| "sentiment_analysis::test_precision": 4673, |
| "sentiment_analysis::test_qwk": 4674, |
| "sentiment_analysis::test_recall": 4675, |
| "sentiment_analysis::training_accuracy": 4676, |
| "sentiment_analysis::validation_accuracy": 4677, |
| "sentiment_analysis::validation_loss": 4678, |
| "sentiment_analysis::weighted_average_f1-score": 4679, |
| "sentiment_analysis::weighted_f1": 4680, |
| "sentiment_analysis_regression::mae_original_scale_-2_to_+2": 4681, |
| "sentiment_analysis_regression::pearson_correlation": 4682, |
| "sentiment_analysis_regression::rmse_original_scale_-2_to_+2": 4683, |
| "sentiment_analysis_regression::sign_accuracy_3-class": 4684, |
| "sentiment_classification::accuracy": 4685, |
| "sentiment_classification::f1": 4686, |
| "sentiment_classification::f1_macro": 4687, |
| "sentiment_classification::f1_weighted": 4688, |
| "sentiment_classification::test_accuracy": 4689, |
| "sentiment_classification::test_macro_f1": 4690, |
| "sentiment_classification::validation_accuracy": 4691, |
| "sentiment_classification::validation_macro_f1": 4692, |
| "sents::sentences_f-score": 4693, |
| "sequence_classification::emr": 4694, |
| "sequence_classification::validation_accuracy": 4695, |
| "sequence_labeling::f1": 4696, |
| "sequence_labeling::precision": 4697, |
| "sequence_labeling::recall": 4698, |
| "sequence_to_sequence_language_modeling::ami_xiug_->_zho_hant_zh": 4699, |
| "sequence_to_sequence_language_modeling::bleu": 4700, |
| "sequence_to_sequence_language_modeling::rouge1": 4701, |
| "sequence_to_sequence_language_modeling::rouge2": 4702, |
| "sequence_to_sequence_language_modeling::rouge_l": 4703, |
| "sequence_to_sequence_language_modeling::rougelsum": 4704, |
| "sequence_to_sequence_language_modeling::trv_tegu_->_zho_hant_zh": 4705, |
| "sequence_to_sequence_language_modeling::trv_truk_->_zho_hant_zh": 4706, |
| "sequence_to_sequence_language_modeling::zho_hant_->_ami_xiug_13a": 4707, |
| "sequence_to_sequence_language_modeling::zho_hant_->_trv_tegu_13a": 4708, |
| "sequence_to_sequence_language_modeling::zho_hant_->_trv_truk_13a": 4709, |
| "shadereval::300_samples_greedy_decoding": 4710, |
| "shadereval::all_samples_greedy_decoding": 4711, |
| "short_term_object_interaction_anticipation::noun_top5_map": 4712, |
| "sick_r::pearson": 4713, |
| "sick_r::spearman_main_score": 4714, |
| "sign_language_recognition::cer_%": 4715, |
| "silhouette::silhouette_cosine": 4716, |
| "silhouette::silhouette_euclidean": 4717, |
| "single_choice_question::single_choice": 4718, |
| "single_object_discovery::corloc": 4719, |
| "siqa::accuracy": 4720, |
| "skill_level_low_medium_high::accuracy": 4721, |
| "skill_level_low_medium_high::log_loss": 4722, |
| "skill_level_low_medium_high::macro_f1": 4723, |
| "skin_tumor_classification::accuracy": 4724, |
| "skin_tumor_classification::f1": 4725, |
| "slot_filling::f1": 4726, |
| "slot_filling::slot_f1_micro": 4727, |
| "slot_filling::slot_f1_score": 4728, |
| "slot_filling::slot_precision_micro": 4729, |
| "slot_filling::slot_recall_micro": 4730, |
| "solubility::rmse": 4731, |
| "solving_partial_differential_equations::l2_error": 4732, |
| "space_time_video_super_resolution::psnr": 4733, |
| "spam_detection::accuracy": 4734, |
| "spam_detection::f1": 4735, |
| "spam_detection::precision": 4736, |
| "spam_detection::recall": 4737, |
| "spam_ham_classification::f1_macro": 4738, |
| "spam_ham_classification::precision_ham": 4739, |
| "spam_ham_classification::precision_spam": 4740, |
| "spam_ham_classification::recall_ham": 4741, |
| "spam_ham_classification::recall_spam": 4742, |
| "spam_ham_classification::roc-auc": 4743, |
| "spam_review_detection::accuracy": 4744, |
| "spam_review_detection::macro-f1": 4745, |
| "span_extraction::empos": 4746, |
| "span_extraction::f1": 4747, |
| "span_extraction::f1neg": 4748, |
| "span_extraction::f1pos": 4749, |
| "sparse_binary_classification::active_dims": 4750, |
| "sparse_binary_classification::cosine_accuracy": 4751, |
| "sparse_binary_classification::cosine_accuracy_threshold": 4752, |
| "sparse_binary_classification::cosine_ap": 4753, |
| "sparse_binary_classification::cosine_f1": 4754, |
| "sparse_binary_classification::cosine_f1_threshold": 4755, |
| "sparse_binary_classification::cosine_mcc": 4756, |
| "sparse_binary_classification::cosine_precision": 4757, |
| "sparse_binary_classification::cosine_recall": 4758, |
| "sparse_binary_classification::dot_accuracy": 4759, |
| "sparse_binary_classification::dot_accuracy_threshold": 4760, |
| "sparse_binary_classification::dot_ap": 4761, |
| "sparse_binary_classification::dot_f1": 4762, |
| "sparse_binary_classification::dot_f1_threshold": 4763, |
| "sparse_binary_classification::dot_mcc": 4764, |
| "sparse_binary_classification::dot_precision": 4765, |
| "sparse_binary_classification::dot_recall": 4766, |
| "sparse_binary_classification::euclidean_accuracy": 4767, |
| "sparse_binary_classification::euclidean_accuracy_threshold": 4768, |
| "sparse_binary_classification::euclidean_ap": 4769, |
| "sparse_binary_classification::euclidean_f1": 4770, |
| "sparse_binary_classification::euclidean_f1_threshold": 4771, |
| "sparse_binary_classification::euclidean_mcc": 4772, |
| "sparse_binary_classification::euclidean_precision": 4773, |
| "sparse_binary_classification::euclidean_recall": 4774, |
| "sparse_binary_classification::manhattan_accuracy": 4775, |
| "sparse_binary_classification::manhattan_accuracy_threshold": 4776, |
| "sparse_binary_classification::manhattan_ap": 4777, |
| "sparse_binary_classification::manhattan_f1": 4778, |
| "sparse_binary_classification::manhattan_f1_threshold": 4779, |
| "sparse_binary_classification::manhattan_mcc": 4780, |
| "sparse_binary_classification::manhattan_precision": 4781, |
| "sparse_binary_classification::manhattan_recall": 4782, |
| "sparse_binary_classification::max_accuracy": 4783, |
| "sparse_binary_classification::max_accuracy_threshold": 4784, |
| "sparse_binary_classification::max_ap": 4785, |
| "sparse_binary_classification::max_f1": 4786, |
| "sparse_binary_classification::max_f1_threshold": 4787, |
| "sparse_binary_classification::max_mcc": 4788, |
| "sparse_binary_classification::max_precision": 4789, |
| "sparse_binary_classification::max_recall": 4790, |
| "sparse_binary_classification::sparsity_ratio": 4791, |
| "sparse_information_retrieval::avg_flops": 4792, |
| "sparse_information_retrieval::corpus_active_dims": 4793, |
| "sparse_information_retrieval::corpus_sparsity_ratio": 4794, |
| "sparse_information_retrieval::cosine_accuracy@1": 4795, |
| "sparse_information_retrieval::cosine_accuracy@10": 4796, |
| "sparse_information_retrieval::cosine_accuracy@3": 4797, |
| "sparse_information_retrieval::cosine_accuracy@5": 4798, |
| "sparse_information_retrieval::cosine_map@100": 4799, |
| "sparse_information_retrieval::cosine_mrr@10": 4800, |
| "sparse_information_retrieval::cosine_ndcg@10": 4801, |
| "sparse_information_retrieval::cosine_precision@1": 4802, |
| "sparse_information_retrieval::cosine_precision@10": 4803, |
| "sparse_information_retrieval::cosine_precision@3": 4804, |
| "sparse_information_retrieval::cosine_precision@5": 4805, |
| "sparse_information_retrieval::cosine_recall@1": 4806, |
| "sparse_information_retrieval::cosine_recall@10": 4807, |
| "sparse_information_retrieval::cosine_recall@3": 4808, |
| "sparse_information_retrieval::cosine_recall@5": 4809, |
| "sparse_information_retrieval::dot_accuracy@1": 4810, |
| "sparse_information_retrieval::dot_accuracy@10": 4811, |
| "sparse_information_retrieval::dot_accuracy@100": 4812, |
| "sparse_information_retrieval::dot_accuracy@3": 4813, |
| "sparse_information_retrieval::dot_accuracy@5": 4814, |
| "sparse_information_retrieval::dot_accuracy@50": 4815, |
| "sparse_information_retrieval::dot_accuracy@8": 4816, |
| "sparse_information_retrieval::dot_map@100": 4817, |
| "sparse_information_retrieval::dot_mrr@10": 4818, |
| "sparse_information_retrieval::dot_ndcg@10": 4819, |
| "sparse_information_retrieval::dot_precision@1": 4820, |
| "sparse_information_retrieval::dot_precision@10": 4821, |
| "sparse_information_retrieval::dot_precision@100": 4822, |
| "sparse_information_retrieval::dot_precision@3": 4823, |
| "sparse_information_retrieval::dot_precision@5": 4824, |
| "sparse_information_retrieval::dot_precision@50": 4825, |
| "sparse_information_retrieval::dot_precision@8": 4826, |
| "sparse_information_retrieval::dot_recall@1": 4827, |
| "sparse_information_retrieval::dot_recall@10": 4828, |
| "sparse_information_retrieval::dot_recall@100": 4829, |
| "sparse_information_retrieval::dot_recall@3": 4830, |
| "sparse_information_retrieval::dot_recall@5": 4831, |
| "sparse_information_retrieval::dot_recall@50": 4832, |
| "sparse_information_retrieval::dot_recall@8": 4833, |
| "sparse_information_retrieval::query_active_dims": 4834, |
| "sparse_information_retrieval::query_sparsity_ratio": 4835, |
| "sparse_information_retrieval::row_non_zero_mean_corpus": 4836, |
| "sparse_information_retrieval::row_non_zero_mean_query": 4837, |
| "sparse_information_retrieval::row_sparsity_mean_corpus": 4838, |
| "sparse_information_retrieval::row_sparsity_mean_query": 4839, |
| "sparse_learning::top-1_accuracy": 4840, |
| "sparse_nano_beir::avg_flops": 4841, |
| "sparse_nano_beir::corpus_active_dims": 4842, |
| "sparse_nano_beir::corpus_sparsity_ratio": 4843, |
| "sparse_nano_beir::cosine_accuracy@1": 4844, |
| "sparse_nano_beir::cosine_accuracy@10": 4845, |
| "sparse_nano_beir::cosine_accuracy@3": 4846, |
| "sparse_nano_beir::cosine_accuracy@5": 4847, |
| "sparse_nano_beir::cosine_map@100": 4848, |
| "sparse_nano_beir::cosine_mrr@10": 4849, |
| "sparse_nano_beir::cosine_ndcg@10": 4850, |
| "sparse_nano_beir::cosine_precision@1": 4851, |
| "sparse_nano_beir::cosine_precision@10": 4852, |
| "sparse_nano_beir::cosine_precision@3": 4853, |
| "sparse_nano_beir::cosine_precision@5": 4854, |
| "sparse_nano_beir::cosine_recall@1": 4855, |
| "sparse_nano_beir::cosine_recall@10": 4856, |
| "sparse_nano_beir::cosine_recall@3": 4857, |
| "sparse_nano_beir::cosine_recall@5": 4858, |
| "sparse_nano_beir::dot_accuracy@1": 4859, |
| "sparse_nano_beir::dot_accuracy@10": 4860, |
| "sparse_nano_beir::dot_accuracy@3": 4861, |
| "sparse_nano_beir::dot_accuracy@5": 4862, |
| "sparse_nano_beir::dot_map@100": 4863, |
| "sparse_nano_beir::dot_mrr@10": 4864, |
| "sparse_nano_beir::dot_ndcg@10": 4865, |
| "sparse_nano_beir::dot_precision@1": 4866, |
| "sparse_nano_beir::dot_precision@10": 4867, |
| "sparse_nano_beir::dot_precision@3": 4868, |
| "sparse_nano_beir::dot_precision@5": 4869, |
| "sparse_nano_beir::dot_recall@1": 4870, |
| "sparse_nano_beir::dot_recall@10": 4871, |
| "sparse_nano_beir::dot_recall@3": 4872, |
| "sparse_nano_beir::dot_recall@5": 4873, |
| "sparse_nano_beir::query_active_dims": 4874, |
| "sparse_nano_beir::query_sparsity_ratio": 4875, |
| "sparse_nano_beir::row_non_zero_mean_corpus": 4876, |
| "sparse_nano_beir::row_non_zero_mean_query": 4877, |
| "sparse_nano_beir::row_sparsity_mean_corpus": 4878, |
| "sparse_nano_beir::row_sparsity_mean_query": 4879, |
| "spatial_reasoning::overall_success_rate": 4880, |
| "speaker_diarization::der_%": 4881, |
| "speaker_diarization::test_der": 4882, |
| "speaker_identification::top-1_%": 4883, |
| "speaker_recognition::eer": 4884, |
| "speaker_verification::eer": 4885, |
| "specialized_capabilities::mean_accuracy": 4886, |
| "speech_emotion_recognition::accuracy": 4887, |
| "speech_emotion_recognition::ccc": 4888, |
| "speech_emotion_recognition::test_accuracy": 4889, |
| "speech_emotion_recognition::unweighted_accuracy_ua": 4890, |
| "speech_enhancement::dnsmos_bak": 4891, |
| "speech_enhancement::dnsmos_ovrl": 4892, |
| "speech_enhancement::dnsmos_sig": 4893, |
| "speech_enhancement::pesq": 4894, |
| "speech_enhancement::si-sdr": 4895, |
| "speech_recognition::accuracy_%": 4896, |
| "speech_recognition::cer": 4897, |
| "speech_recognition::cer_lm": 4898, |
| "speech_recognition::character_error_rate": 4899, |
| "speech_recognition::character_error_rate_cer": 4900, |
| "speech_recognition::dev_wer": 4901, |
| "speech_recognition::eval_loss": 4902, |
| "speech_recognition::eval_wer": 4903, |
| "speech_recognition::final_test_wer": 4904, |
| "speech_recognition::percentage_error": 4905, |
| "speech_recognition::test": 4906, |
| "speech_recognition::test_cer": 4907, |
| "speech_recognition::test_cer_+lm": 4908, |
| "speech_recognition::test_cer_with_lm": 4909, |
| "speech_recognition::test_cer_without_lm": 4910, |
| "speech_recognition::test_coraa_wer": 4911, |
| "speech_recognition::test_per_on_common_voice_fr_13.0_|_trained": 4912, |
| "speech_recognition::test_per_on_multilingual_librispeech_fr_|_trained": 4913, |
| "speech_recognition::test_wer": 4914, |
| "speech_recognition::test_wer_+lm": 4915, |
| "speech_recognition::test_wer_on_common_voice_7": 4916, |
| "speech_recognition::test_wer_p&c": 4917, |
| "speech_recognition::test_wer_with_language_model": 4918, |
| "speech_recognition::test_wer_with_lm": 4919, |
| "speech_recognition::test_wer_without_lm": 4920, |
| "speech_recognition::training_loss": 4921, |
| "speech_recognition::val_per_on_common_voice_fr_13.0_|_trained": 4922, |
| "speech_recognition::val_per_on_multilingual_librispeech_fr_|_trained": 4923, |
| "speech_recognition::validation_cer": 4924, |
| "speech_recognition::validation_cer_with_5-gram_lm": 4925, |
| "speech_recognition::validation_wer": 4926, |
| "speech_recognition::validation_wer_with_5-gram_lm": 4927, |
| "speech_recognition::voxceleb_dev": 4928, |
| "speech_recognition::wer": 4929, |
| "speech_recognition::wer_for_arabic": 4930, |
| "speech_recognition::wer_lm": 4931, |
| "speech_recognition::wer_with_punctuation_and_capital_letters": 4932, |
| "speech_recognition::wer_without_punctuation": 4933, |
| "speech_recognition::word_error_rate": 4934, |
| "speech_recognition::word_error_rate_wer": 4935, |
| "speech_separation::0l": 4936, |
| "speech_separation::si-sdri": 4937, |
| "speech_synthesis::pesq": 4938, |
| "speech_to_phoneme::test_per_in-domain_training_|": 4939, |
| "speech_to_speech_translation::asr-bleu": 4940, |
| "speech_to_text::wer": 4941, |
| "speech_to_text_translation::bleu": 4942, |
| "speech_to_text_translation::case-sensitive_sacrebleu": 4943, |
| "speech_to_text_translation::sacrebleu": 4944, |
| "speech_translation::bleu": 4945, |
| "speech_translation::test_bleu": 4946, |
| "speech_translation::test_cer": 4947, |
| "speech_translation::test_wer": 4948, |
| "speech_translation_ml_en::bleu": 4949, |
| "speech_translation_ml_en::comet": 4950, |
| "speech_translation_ml_en::wer": 4951, |
| "speed::num_gpus": 4952, |
| "speed::physical_cores": 4953, |
| "speed::time_mean": 4954, |
| "speed::time_std": 4955, |
| "speed::total_cores": 4956, |
| "spoken_command_recognition::accuracy": 4957, |
| "spoken_language_understanding::accuracy_%": 4958, |
| "spoken_language_understanding::test_cer": 4959, |
| "spoken_language_understanding::test_cher": 4960, |
| "spoken_language_understanding::test_cver": 4961, |
| "squad::accuracy": 4962, |
| "stance_classification::macro_f1": 4963, |
| "stance_classification::micro_f1": 4964, |
| "starcraft_multi_agent_challenge_v2::mean-ep-length": 4965, |
| "starcraft_multi_agent_challenge_v2::mean-reward": 4966, |
| "starcraft_multi_agent_challenge_v2::win-rate": 4967, |
| "stem::acc._norm": 4968, |
| "stem::accuracy": 4969, |
| "stem::exact_match": 4970, |
| "stereo_depth_estimation::average_end-point_error": 4971, |
| "stereo_depth_estimation::three_pixel_error": 4972, |
| "stereo_disparity_estimation::epe": 4973, |
| "stereotypical_bias_analysis::age": 4974, |
| "stock_market_prediction::accuray": 4975, |
| "stock_trading::best_max_drawdown_tsla": 4976, |
| "stock_trading::best_sharpe_ratio_amzn": 4977, |
| "stock_trading::best_total_return_amzn": 4978, |
| "stock_trading::best_win_rate_msft": 4979, |
| "story_continuation::fid": 4980, |
| "story_point_estimation::mean_absolute_error_mae": 4981, |
| "story_point_estimation::median_absolute_error_mdae": 4982, |
| "strategy_qa_internal_heuristic_eval::actionability": 4983, |
| "strategy_qa_internal_heuristic_eval::framework_accuracy": 4984, |
| "strategy_qa_internal_heuristic_eval::structured_output_compliance": 4985, |
| "streaming_transcription_chunk_100msec::aligned-relative_word_error_rate_arwer_%": 4986, |
| "streaming_transcription_chunk_100msec::word_error_rate_wer_%": 4987, |
| "streaming_transcription_chunk_200msec::aligned-relative_word_error_rate_arwer_%": 4988, |
| "streaming_transcription_chunk_200msec::word_error_rate_wer_%": 4989, |
| "streaming_transcription_chunk_300msec::aligned-relative_word_error_rate_arwer_%": 4990, |
| "streaming_transcription_chunk_300msec::word_error_rate_wer_%": 4991, |
| "streaming_transcription_chunk_40msec::aligned-relative_word_error_rate_arwer_%": 4992, |
| "streaming_transcription_chunk_40msec::word_error_rate_wer_%": 4993, |
| "strong_gravitational_lens_discovery::average_accuracy": 4994, |
| "strong_gravitational_lens_discovery::average_auc-roc": 4995, |
| "strong_gravitational_lens_discovery::average_f1-score": 4996, |
| "structured_data_classification::accuracy": 4997, |
| "structured_data_classification::validation_loss": 4998, |
| "structured_information_extraction::final_validation_loss": 4999, |
| "structured_sentiment_analysis::relative_polarity_precision": 5000, |
| "structured_sentiment_analysis::target_f1": 5001, |
| "structured_sentiment_analysis::unlabeled_sentiment_tuple_f1": 5002, |
| "sts::cos_sim_pearson": 5003, |
| "sts::cos_sim_spearman": 5004, |
| "sts::cosine_pearson": 5005, |
| "sts::cosine_spearman": 5006, |
| "sts::euclidean_pearson": 5007, |
| "sts::euclidean_spearman": 5008, |
| "sts::main_score": 5009, |
| "sts::manhattan_pearson": 5010, |
| "sts::manhattan_spearman": 5011, |
| "sts::pearson": 5012, |
| "sts::r²": 5013, |
| "sts::score": 5014, |
| "sts::spearman": 5015, |
| "sts::spearman_cosine": 5016, |
| "sts::test_spearmanr": 5017, |
| "sts_benchmark::accuracy_cosinus": 5018, |
| "sts_benchmark::accuracy_euclidean": 5019, |
| "sts_benchmark::accuracy_manhattan": 5020, |
| "sts_ca::comb": 5021, |
| "stsbenchmark::pearson": 5022, |
| "stsbenchmark::spearman_main_score": 5023, |
| "style_classification_holdout::accuracy": 5024, |
| "style_classification_real_world_baseline::accuracy": 5025, |
| "subjectivity_analysis::accuracy": 5026, |
| "subjectivity_detection::accuracy": 5027, |
| "subjectivity_detection::loss": 5028, |
| "subjectivity_detection::macro_f1": 5029, |
| "subjectivity_detection::macro_p": 5030, |
| "subjectivity_detection::macro_r": 5031, |
| "subjectivity_detection::subj_f1": 5032, |
| "subjectivity_detection::subj_p": 5033, |
| "subjectivity_detection::subj_r": 5034, |
| "suggestive_content_detection::f1": 5035, |
| "suggestive_content_detection::precision": 5036, |
| "suggestive_content_detection::recall": 5037, |
| "suggestive_content_detection::test_pr-auc": 5038, |
| "suggestive_content_detection::test_roc-auc": 5039, |
| "suicidal_tendency_prediction_in_text::accuracy": 5040, |
| "suicidal_tendency_prediction_in_text::f1": 5041, |
| "suicidal_tendency_prediction_in_text::precision": 5042, |
| "suicidal_tendency_prediction_in_text::recall": 5043, |
| "suicide_risk_detection::accuracy": 5044, |
| "suicide_risk_detection::f1": 5045, |
| "suicide_risk_detection::precision": 5046, |
| "suicide_risk_detection::recall": 5047, |
| "summarization::bertscore": 5048, |
| "summarization::cos_sim_pearson": 5049, |
| "summarization::cos_sim_spearman": 5050, |
| "summarization::cosine_pearson": 5051, |
| "summarization::cosine_spearman": 5052, |
| "summarization::dot_pearson": 5053, |
| "summarization::dot_spearman": 5054, |
| "summarization::f1": 5055, |
| "summarization::f1_score_decimal": 5056, |
| "summarization::gen_len": 5057, |
| "summarization::loss": 5058, |
| "summarization::main_score": 5059, |
| "summarization::mauve": 5060, |
| "summarization::meteor": 5061, |
| "summarization::micro_f1_score": 5062, |
| "summarization::pearson": 5063, |
| "summarization::precision": 5064, |
| "summarization::recall": 5065, |
| "summarization::rogue1": 5066, |
| "summarization::rouge-1": 5067, |
| "summarization::rouge-2": 5068, |
| "summarization::rouge-lsum": 5069, |
| "summarization::rouge1": 5070, |
| "summarization::rouge2": 5071, |
| "summarization::rouge_l": 5072, |
| "summarization::rougelsum": 5073, |
| "summarization::spearman": 5074, |
| "summarization::test_rogue-1": 5075, |
| "summarization::test_rogue-2": 5076, |
| "summarization::test_rogue-l": 5077, |
| "summarization::test_rouge-1": 5078, |
| "summarization::test_rouge-2": 5079, |
| "summarization::test_rouge-l": 5080, |
| "summarization::validation_rogue-1": 5081, |
| "summarization::validation_rogue-1.": 5082, |
| "summarization::validation_rogue-2": 5083, |
| "summarization::validation_rogue-l": 5084, |
| "summarization::validation_rogue-l-sum": 5085, |
| "summarization::validation_rouge-1": 5086, |
| "summarization::validation_rouge-2": 5087, |
| "summarization::validation_rouge-l": 5088, |
| "super_resolution::accuracy@1": 5089, |
| "super_resolution::lpips_score": 5090, |
| "super_resolution::psnr": 5091, |
| "super_resolution::ssim": 5092, |
| "surgical_triplet_recognition::f1_instrument": 5093, |
| "surgical_triplet_recognition::f1_target": 5094, |
| "surgical_triplet_recognition::f1_verb": 5095, |
| "symbolic_music_representation_learning::f1": 5096, |
| "syriac_vocalization::bleu_score": 5097, |
| "syriac_vocalization::character_accuracy": 5098, |
| "syriac_vocalization::chrf_score": 5099, |
| "tabfquad::score": 5100, |
| "table_detection::weighted_average_f1-score": 5101, |
| "table_to_text_generation::bert": 5102, |
| "tabular_classification::5-fold_cv_accuracy_mean": 5103, |
| "tabular_classification::5-fold_cv_f1_mean": 5104, |
| "tabular_classification::5-fold_cv_precision_mean": 5105, |
| "tabular_classification::5-fold_cv_recall_mean": 5106, |
| "tabular_classification::accuracy": 5107, |
| "tabular_classification::exact_match": 5108, |
| "tabular_classification::f1": 5109, |
| "tabular_classification::f1_score_weighted": 5110, |
| "tabular_classification::hamming_loss": 5111, |
| "tabular_classification::macro_auc": 5112, |
| "tabular_classification::macro_precision": 5113, |
| "tabular_classification::macro_recall": 5114, |
| "tabular_classification::micro_auc": 5115, |
| "tabular_classification::micro_precision": 5116, |
| "tabular_classification::micro_recall": 5117, |
| "tabular_classification::model_loss": 5118, |
| "tabular_classification::score": 5119, |
| "tabular_classification::test_accuracy": 5120, |
| "tabular_regression::kaggle_public_score_rmsle_best_submission": 5121, |
| "tabular_regression::mean_absolute_error": 5122, |
| "tabular_regression::model_loss": 5123, |
| "tabular_regression::r_squared": 5124, |
| "tabular_regression::validation_mae": 5125, |
| "tabular_regression::validation_r^2": 5126, |
| "tabular_regression::validation_rmse_best_run_internal_autogluon_validation": 5127, |
| "tabular_regression::validation_rmsle": 5128, |
| "tag::tag_xpos_accuracy": 5129, |
| "target_prioritization::hit@10": 5130, |
| "target_prioritization::hit@5": 5131, |
| "target_prioritization::precision": 5132, |
| "target_prioritization::recall": 5133, |
| "tau2_bench::pass@1_overall": 5134, |
| "tau2_bench::pass@4_overall": 5135, |
| "tc::accuracy": 5136, |
| "teca::accuracy": 5137, |
| "tecla::accuracy": 5138, |
| "temporal_action_localization::average-map": 5139, |
| "temporal_action_localization::avg_map_0.3:0.7": 5140, |
| "temporal_action_localization::map": 5141, |
| "temporal_action_localization::recall": 5142, |
| "temporal_relation_extraction::group_score": 5143, |
| "temporal_sentence_grounding::r1@0.5": 5144, |
| "text2text_generation::rouge-1": 5145, |
| "text_based_de_novo_molecule_generation::bleu": 5146, |
| "text_classfication::accuracy": 5147, |
| "text_classfication::f1": 5148, |
| "text_classfication::f1-score": 5149, |
| "text_classfication::precision": 5150, |
| "text_classfication::recall": 5151, |
| "text_classification::0-shot": 5152, |
| "text_classification::1-shot_top-1": 5153, |
| "text_classification::10-shot": 5154, |
| "text_classification::25-shot": 5155, |
| "text_classification::3-5-shot": 5156, |
| "text_classification::3-shot": 5157, |
| "text_classification::3-shot_cot": 5158, |
| "text_classification::4-shot": 5159, |
| "text_classification::5-shot": 5160, |
| "text_classification::5-shot_maj@1": 5161, |
| "text_classification::5-shot_top-1": 5162, |
| "text_classification::accuracy": 5163, |
| "text_classification::accuracy_%": 5164, |
| "text_classification::accuracy_'bezeichnung'": 5165, |
| "text_classification::accuracy_'thema'": 5166, |
| "text_classification::accuracy_0_shot": 5167, |
| "text_classification::accuracy_cardiffnlp/tweet_sentiment_multilingual/all": 5168, |
| "text_classification::accuracy_cardiffnlp/tweet_topic_multi": 5169, |
| "text_classification::accuracy_cardiffnlp/tweet_topic_single": 5170, |
| "text_classification::accuracy_epoch=1": 5171, |
| "text_classification::accuracy_quantized": 5172, |
| "text_classification::accuracy_report": 5173, |
| "text_classification::accuracy_score": 5174, |
| "text_classification::accuracy_top2": 5175, |
| "text_classification::accuracy_tweet_eval/emoji": 5176, |
| "text_classification::accuracy_tweet_eval/emotion": 5177, |
| "text_classification::accuracy_tweet_eval/hate": 5178, |
| "text_classification::accuracy_tweet_eval/irony": 5179, |
| "text_classification::accuracy_tweet_eval/offensive": 5180, |
| "text_classification::accuracy_tweet_eval/sentiment": 5181, |
| "text_classification::ai2_reasoning_challenge_25-shot": 5182, |
| "text_classification::auc": 5183, |
| "text_classification::average": 5184, |
| "text_classification::average_quality_score": 5185, |
| "text_classification::binary_accuracy": 5186, |
| "text_classification::coherence": 5187, |
| "text_classification::comb": 5188, |
| "text_classification::combined_score": 5189, |
| "text_classification::count": 5190, |
| "text_classification::dev_accuracy": 5191, |
| "text_classification::dev_macro_f1_score": 5192, |
| "text_classification::dev_macro_precision": 5193, |
| "text_classification::dev_macro_recall": 5194, |
| "text_classification::error": 5195, |
| "text_classification::eval_loss": 5196, |
| "text_classification::evaluation_macro_f1": 5197, |
| "text_classification::f1": 5198, |
| "text_classification::f1-macro": 5199, |
| "text_classification::f1-score": 5200, |
| "text_classification::f1-score_%": 5201, |
| "text_classification::f1-weighted": 5202, |
| "text_classification::f1_'bezeichnung'_macro": 5203, |
| "text_classification::f1_'thema'_macro": 5204, |
| "text_classification::f1_10-fold": 5205, |
| "text_classification::f1_macro": 5206, |
| "text_classification::f1_macro_avg.": 5207, |
| "text_classification::f1_micro": 5208, |
| "text_classification::f1_score_macro": 5209, |
| "text_classification::f1_score_macro_avg": 5210, |
| "text_classification::f1_score_weighted": 5211, |
| "text_classification::f1_weighted": 5212, |
| "text_classification::f1_weighted_quantized": 5213, |
| "text_classification::f2": 5214, |
| "text_classification::false_accuracy": 5215, |
| "text_classification::fn": 5216, |
| "text_classification::fp": 5217, |
| "text_classification::fscore": 5218, |
| "text_classification::funny_class_accuracy": 5219, |
| "text_classification::generating_communicative_text.f1_score": 5220, |
| "text_classification::generating_communicative_text.precision": 5221, |
| "text_classification::generating_communicative_text.recall": 5222, |
| "text_classification::generating_communicative_text.support": 5223, |
| "text_classification::generating_creative_text.f1_score": 5224, |
| "text_classification::generating_creative_text.precision": 5225, |
| "text_classification::generating_creative_text.recall": 5226, |
| "text_classification::generating_creative_text.support": 5227, |
| "text_classification::global_accuracy": 5228, |
| "text_classification::hamming_accuracy": 5229, |
| "text_classification::hamming_loss": 5230, |
| "text_classification::homework_problem.f1_score": 5231, |
| "text_classification::homework_problem.precision": 5232, |
| "text_classification::homework_problem.recall": 5233, |
| "text_classification::homework_problem.support": 5234, |
| "text_classification::human-gpt_detection_validation_loss": 5235, |
| "text_classification::inference_text/sec_a100_40gb_gpu_batch=128": 5236, |
| "text_classification::inference_text/sec_a100_40gb_gpu_batch=32": 5237, |
| "text_classification::inference_text/sec_a100_batch=64": 5238, |
| "text_classification::inference_text/sec_a10g_batch=128": 5239, |
| "text_classification::inference_text/sec_a10g_gpu_batch=128": 5240, |
| "text_classification::information_search.f1_score": 5241, |
| "text_classification::information_search.precision": 5242, |
| "text_classification::information_search.recall": 5243, |
| "text_classification::information_search.support": 5244, |
| "text_classification::isco_hierarchical_accuracy": 5245, |
| "text_classification::joint_validation_accuracy": 5246, |
| "text_classification::kendall's_tau_coefficient": 5247, |
| "text_classification::latency_in_seconds": 5248, |
| "text_classification::loss": 5249, |
| "text_classification::macro-average_f1-score": 5250, |
| "text_classification::macro-f1": 5251, |
| "text_classification::macro_avg": 5252, |
| "text_classification::macro_f1": 5253, |
| "text_classification::macro_f1-score": 5254, |
| "text_classification::macro_f1_cardiffnlp/tweet_sentiment_multilingual/all": 5255, |
| "text_classification::macro_f1_cardiffnlp/tweet_topic_multi": 5256, |
| "text_classification::macro_f1_cardiffnlp/tweet_topic_single": 5257, |
| "text_classification::macro_f1_tweet_eval/emoji": 5258, |
| "text_classification::macro_f1_tweet_eval/emotion": 5259, |
| "text_classification::macro_f1_tweet_eval/hate": 5260, |
| "text_classification::macro_f1_tweet_eval/irony": 5261, |
| "text_classification::macro_f1_tweet_eval/offensive": 5262, |
| "text_classification::macro_f1_tweet_eval/sentiment": 5263, |
| "text_classification::macro_precision": 5264, |
| "text_classification::macro_recall": 5265, |
| "text_classification::mathew's_coefficient": 5266, |
| "text_classification::matthews_correlation": 5267, |
| "text_classification::mcc": 5268, |
| "text_classification::mean_squared_error_for_ordinal_data": 5269, |
| "text_classification::metric": 5270, |
| "text_classification::micro_f1": 5271, |
| "text_classification::micro_f1_cardiffnlp/tweet_sentiment_multilingual/all": 5272, |
| "text_classification::micro_f1_cardiffnlp/tweet_topic_multi": 5273, |
| "text_classification::micro_f1_cardiffnlp/tweet_topic_single": 5274, |
| "text_classification::micro_f1_tweet_eval/emoji": 5275, |
| "text_classification::micro_f1_tweet_eval/emotion": 5276, |
| "text_classification::micro_f1_tweet_eval/hate": 5277, |
| "text_classification::micro_f1_tweet_eval/irony": 5278, |
| "text_classification::micro_f1_tweet_eval/offensive": 5279, |
| "text_classification::micro_f1_tweet_eval/sentiment": 5280, |
| "text_classification::mixture_accuracy": 5281, |
| "text_classification::mse": 5282, |
| "text_classification::mse_loss": 5283, |
| "text_classification::n_test_samples": 5284, |
| "text_classification::negatives": 5285, |
| "text_classification::npv": 5286, |
| "text_classification::off_by_1_accuracy": 5287, |
| "text_classification::partial_score": 5288, |
| "text_classification::pass@1": 5289, |
| "text_classification::pass@10": 5290, |
| "text_classification::pearson": 5291, |
| "text_classification::pearson's_r_distress": 5292, |
| "text_classification::pearson's_r_empathy": 5293, |
| "text_classification::pearson_correlation": 5294, |
| "text_classification::pearson_spearman_avg": 5295, |
| "text_classification::pearsonr": 5296, |
| "text_classification::percision": 5297, |
| "text_classification::positives": 5298, |
| "text_classification::ppv": 5299, |
| "text_classification::precision": 5300, |
| "text_classification::precision_%": 5301, |
| "text_classification::precision_'bezeichnung'_macro": 5302, |
| "text_classification::precision_'thema'_macro": 5303, |
| "text_classification::precision_ham": 5304, |
| "text_classification::precision_macro": 5305, |
| "text_classification::precision_macro_avg": 5306, |
| "text_classification::precision_micro": 5307, |
| "text_classification::precision_spam": 5308, |
| "text_classification::precision_weighted": 5309, |
| "text_classification::preference_accuracy": 5310, |
| "text_classification::qwk": 5311, |
| "text_classification::recall": 5312, |
| "text_classification::recall_%": 5313, |
| "text_classification::recall_'bezeichnung'_macro": 5314, |
| "text_classification::recall_'thema'_macro": 5315, |
| "text_classification::recall_ham": 5316, |
| "text_classification::recall_macro": 5317, |
| "text_classification::recall_macro_avg": 5318, |
| "text_classification::recall_micro": 5319, |
| "text_classification::recall_spam": 5320, |
| "text_classification::recall_weighted": 5321, |
| "text_classification::roc": 5322, |
| "text_classification::roc_auc": 5323, |
| "text_classification::runtime_sec": 5324, |
| "text_classification::samples": 5325, |
| "text_classification::samples_per_second": 5326, |
| "text_classification::silhouette_score": 5327, |
| "text_classification::software_development.f1_score": 5328, |
| "text_classification::software_development.precision": 5329, |
| "text_classification::software_development.recall": 5330, |
| "text_classification::software_development.support": 5331, |
| "text_classification::spearman": 5332, |
| "text_classification::spearmanr": 5333, |
| "text_classification::subset_accuracy": 5334, |
| "text_classification::test_accuracy": 5335, |
| "text_classification::test_f1_score": 5336, |
| "text_classification::test_f1_score_macro": 5337, |
| "text_classification::test_precision": 5338, |
| "text_classification::test_recall": 5339, |
| "text_classification::tn": 5340, |
| "text_classification::top-1": 5341, |
| "text_classification::total_time_in_seconds": 5342, |
| "text_classification::tp": 5343, |
| "text_classification::true_accuracy": 5344, |
| "text_classification::unproven_accuracy": 5345, |
| "text_classification::validation_accuracy": 5346, |
| "text_classification::validation_f1": 5347, |
| "text_classification::validation_loss": 5348, |
| "text_classification::weighted-f1": 5349, |
| "text_classification::weighted_f1": 5350, |
| "text_classification::weighted_f1-score": 5351, |
| "text_classification::weighted_f1_score": 5352, |
| "text_classification::weighted_precision": 5353, |
| "text_classification::weighted_recall": 5354, |
| "text_classification_denial::metric": 5355, |
| "text_classification_multi_label_emotions::average_precision_macro": 5356, |
| "text_classification_multi_label_emotions::average_precision_micro": 5357, |
| "text_classification_multi_label_emotions::f1_macro": 5358, |
| "text_classification_multi_label_emotions::f1_micro": 5359, |
| "text_classification_multi_label_emotions::f1_samples": 5360, |
| "text_classification_multi_label_emotions::roc_auc_macro": 5361, |
| "text_classification_multi_label_emotions::roc_auc_micro": 5362, |
| "text_classification_question::metric": 5363, |
| "text_classification_sentiment_analysis::accuracy": 5364, |
| "text_classification_sentiment_analysis::f1": 5365, |
| "text_classification_sentiment_analysis::precision": 5366, |
| "text_classification_sentiment_analysis::recall": 5367, |
| "text_clustering::mean_ru": 5368, |
| "text_clustering::v-measure": 5369, |
| "text_detection::map@50": 5370, |
| "text_detection::map@50-95": 5371, |
| "text_detection::precision": 5372, |
| "text_detection::recall": 5373, |
| "text_generation::#_of_tokens": 5374, |
| "text_generation::0-shot": 5375, |
| "text_generation::0-shot_accuracy": 5376, |
| "text_generation::0-shot_cot": 5377, |
| "text_generation::0-shot_rougel": 5378, |
| "text_generation::1-shot": 5379, |
| "text_generation::1-shot_top-1": 5380, |
| "text_generation::10-shot": 5381, |
| "text_generation::10-shot_accuracy": 5382, |
| "text_generation::128k": 5383, |
| "text_generation::15k_accuracy": 5384, |
| "text_generation::15k_normalized": 5385, |
| "text_generation::1:1_accuracy": 5386, |
| "text_generation::2-shot": 5387, |
| "text_generation::2-shot_cot": 5388, |
| "text_generation::25-shot": 5389, |
| "text_generation::2r._avg.": 5390, |
| "text_generation::3-5-shot": 5391, |
| "text_generation::3-shot": 5392, |
| "text_generation::3-shot_cot": 5393, |
| "text_generation::3-shot_f1": 5394, |
| "text_generation::4-shot": 5395, |
| "text_generation::4-shot_cot": 5396, |
| "text_generation::40k_accuracy": 5397, |
| "text_generation::40k_normalized": 5398, |
| "text_generation::5-shot": 5399, |
| "text_generation::5-shot_accuracy": 5400, |
| "text_generation::5-shot_maj@1": 5401, |
| "text_generation::5-shot_top-1": 5402, |
| "text_generation::5-shot_top-1_accuracy": 5403, |
| "text_generation::7-shot": 5404, |
| "text_generation::8-shot": 5405, |
| "text_generation::8-shot_cot": 5406, |
| "text_generation::acc-norm_0-shot": 5407, |
| "text_generation::acc_%": 5408, |
| "text_generation::acc_fluctuations": 5409, |
| "text_generation::acc_length_num_draft_tokens=4": 5410, |
| "text_generation::acc_length_num_draft_tokens=8": 5411, |
| "text_generation::acc_n": 5412, |
| "text_generation::accuarcy": 5413, |
| "text_generation::accuracy": 5414, |
| "text_generation::accuracy-norm": 5415, |
| "text_generation::accuracy_%": 5416, |
| "text_generation::accuracy_5-shot": 5417, |
| "text_generation::accuracy_5_shot": 5418, |
| "text_generation::accuracy_acc": 5419, |
| "text_generation::accuracy_llm-judge_1-3": 5420, |
| "text_generation::accuracy_norm": 5421, |
| "text_generation::accuracy_stderr": 5422, |
| "text_generation::accuracy_zero-shot": 5423, |
| "text_generation::ai2_reasoning_challenge": 5424, |
| "text_generation::ai2_reasoning_challenge_25-shot": 5425, |
| "text_generation::aime24": 5426, |
| "text_generation::aime25": 5427, |
| "text_generation::all": 5428, |
| "text_generation::all_levels": 5429, |
| "text_generation::alpacaeval": 5430, |
| "text_generation::alpacaeval_win_rate_%": 5431, |
| "text_generation::arc": 5432, |
| "text_generation::arc_challenge": 5433, |
| "text_generation::arc_challenge_0-shot": 5434, |
| "text_generation::arc_challenge_de_0-shot": 5435, |
| "text_generation::arc_challenge_de_5-shot": 5436, |
| "text_generation::arc_easy": 5437, |
| "text_generation::arc_mc": 5438, |
| "text_generation::article_generation_success_rate": 5439, |
| "text_generation::average": 5440, |
| "text_generation::average_accuracy": 5441, |
| "text_generation::average_bleu": 5442, |
| "text_generation::average_exact_match": 5443, |
| "text_generation::average_f1": 5444, |
| "text_generation::average_macro-f1": 5445, |
| "text_generation::average_pearson": 5446, |
| "text_generation::average_reward_score": 5447, |
| "text_generation::average_score": 5448, |
| "text_generation::average_score_on_11_academic_benchmarks": 5449, |
| "text_generation::average_spearman": 5450, |
| "text_generation::averageaccuracy": 5451, |
| "text_generation::averaged_accuracy": 5452, |
| "text_generation::averagepass@1": 5453, |
| "text_generation::avg": 5454, |
| "text_generation::avg._score_by_gpt-4o": 5455, |
| "text_generation::avg@10": 5456, |
| "text_generation::avg@32": 5457, |
| "text_generation::avg@4": 5458, |
| "text_generation::avg_acc": 5459, |
| "text_generation::avg_prompt/instruction_acc_loose/strict": 5460, |
| "text_generation::avg_prompt_strict_+_inst_strict": 5461, |
| "text_generation::base_score": 5462, |
| "text_generation::basic_skills": 5463, |
| "text_generation::bbh": 5464, |
| "text_generation::benchmark_score": 5465, |
| "text_generation::bertscore": 5466, |
| "text_generation::bigcodebench": 5467, |
| "text_generation::bits_per_weight_4-bit": 5468, |
| "text_generation::bits_per_weight_8-bit": 5469, |
| "text_generation::bleu": 5470, |
| "text_generation::bleu-4": 5471, |
| "text_generation::bleu_score": 5472, |
| "text_generation::bleurt": 5473, |
| "text_generation::block_size": 5474, |
| "text_generation::boolq": 5475, |
| "text_generation::byte_perplexity": 5476, |
| "text_generation::casehold": 5477, |
| "text_generation::cer": 5478, |
| "text_generation::china_specific": 5479, |
| "text_generation::chrf++": 5480, |
| "text_generation::code_accuracy": 5481, |
| "text_generation::codebleu": 5482, |
| "text_generation::coding": 5483, |
| "text_generation::cohen_kappa": 5484, |
| "text_generation::confidence_calibration": 5485, |
| "text_generation::confusion_matrix": 5486, |
| "text_generation::context": 5487, |
| "text_generation::coqa": 5488, |
| "text_generation::coqa_gen2mc_mc": 5489, |
| "text_generation::core_score": 5490, |
| "text_generation::cot": 5491, |
| "text_generation::cot_acc": 5492, |
| "text_generation::cot_em": 5493, |
| "text_generation::cross_entropy_loss": 5494, |
| "text_generation::csqa_mc": 5495, |
| "text_generation::dataset_size": 5496, |
| "text_generation::dataset_size_gb": 5497, |
| "text_generation::decode_latency_ms": 5498, |
| "text_generation::deepmind_math": 5499, |
| "text_generation::deepseek_leetcode": 5500, |
| "text_generation::delta": 5501, |
| "text_generation::delta_%": 5502, |
| "text_generation::dense_acc": 5503, |
| "text_generation::dim": 5504, |
| "text_generation::drop": 5505, |
| "text_generation::drop_gen2mc_mc": 5506, |
| "text_generation::dropout": 5507, |
| "text_generation::ds_1000": 5508, |
| "text_generation::ecthr_a": 5509, |
| "text_generation::edit-smiliarity": 5510, |
| "text_generation::elo": 5511, |
| "text_generation::elo_rating": 5512, |
| "text_generation::em_3-shot": 5513, |
| "text_generation::em_maj1@1": 5514, |
| "text_generation::em_≤_8k": 5515, |
| "text_generation::emergence_detection_rate": 5516, |
| "text_generation::english_to_sanskrit_translation_-_bleu_score": 5517, |
| "text_generation::english_to_sanskrit_translation_-_jaccard_similarity": 5518, |
| "text_generation::entropy": 5519, |
| "text_generation::entropy_novelty": 5520, |
| "text_generation::epoch": 5521, |
| "text_generation::eq-bench_0-shot": 5522, |
| "text_generation::eval_loss": 5523, |
| "text_generation::eval_runtime": 5524, |
| "text_generation::eval_samples_per_second": 5525, |
| "text_generation::eval_steps_per_second": 5526, |
| "text_generation::exact_match": 5527, |
| "text_generation::exact_match@16k": 5528, |
| "text_generation::exact_match@32k": 5529, |
| "text_generation::exact_match@4k": 5530, |
| "text_generation::exact_match@8k": 5531, |
| "text_generation::exact_match_%": 5532, |
| "text_generation::exact_match_em": 5533, |
| "text_generation::exact_match_strict": 5534, |
| "text_generation::expert_dim": 5535, |
| "text_generation::expguardtest_total_f1": 5536, |
| "text_generation::extraction": 5537, |
| "text_generation::f1": 5538, |
| "text_generation::f1-macro": 5539, |
| "text_generation::f1-score": 5540, |
| "text_generation::f1_3-shot": 5541, |
| "text_generation::f1_score_%": 5542, |
| "text_generation::factual_accuracy": 5543, |
| "text_generation::few-shot": 5544, |
| "text_generation::final_em": 5545, |
| "text_generation::final_training_loss": 5546, |
| "text_generation::finance_f1": 5547, |
| "text_generation::first_turn": 5548, |
| "text_generation::flexible-extract": 5549, |
| "text_generation::fragmergent_coherence": 5550, |
| "text_generation::function_calling_accuracy_name_&_arguments": 5551, |
| "text_generation::glue": 5552, |
| "text_generation::gpqa": 5553, |
| "text_generation::gpt-4_as_judge": 5554, |
| "text_generation::gpu_memory_usage_mb": 5555, |
| "text_generation::gsm8k": 5556, |
| "text_generation::gsm8k_0-shot": 5557, |
| "text_generation::gsm8k_5-shot": 5558, |
| "text_generation::gsm8k_few-shot": 5559, |
| "text_generation::hallucination_rate": 5560, |
| "text_generation::hallucination_reduction_%": 5561, |
| "text_generation::hard": 5562, |
| "text_generation::healthcare_f1": 5563, |
| "text_generation::hebrew_answers": 5564, |
| "text_generation::hellaswag": 5565, |
| "text_generation::hellaswag_0-shot": 5566, |
| "text_generation::hellaswag_10-shot": 5567, |
| "text_generation::hellaswag_rc": 5568, |
| "text_generation::human_preference_elo_rating": 5569, |
| "text_generation::humaneval": 5570, |
| "text_generation::humaneval_pass@1": 5571, |
| "text_generation::humanities": 5572, |
| "text_generation::ifeval": 5573, |
| "text_generation::inference_latency_ms": 5574, |
| "text_generation::inference_time": 5575, |
| "text_generation::inst_level_loose_acc": 5576, |
| "text_generation::instruction-following-score": 5577, |
| "text_generation::instruction_level_loose_accuracy": 5578, |
| "text_generation::instruction_level_strict_accuracy": 5579, |
| "text_generation::internal_consistency": 5580, |
| "text_generation::international_law": 5581, |
| "text_generation::jeopardy": 5582, |
| "text_generation::jeopardy_gen2mc_mc": 5583, |
| "text_generation::jurisprudence": 5584, |
| "text_generation::kl_divergence": 5585, |
| "text_generation::lambada": 5586, |
| "text_generation::lambada_acc": 5587, |
| "text_generation::lambada_ppl": 5588, |
| "text_generation::lambda": 5589, |
| "text_generation::latency_ms/token": 5590, |
| "text_generation::law_f1": 5591, |
| "text_generation::lbpp": 5592, |
| "text_generation::lc_win_rate": 5593, |
| "text_generation::ledgar": 5594, |
| "text_generation::length_controlled_winrate": 5595, |
| "text_generation::localization": 5596, |
| "text_generation::longbook_choice/acc": 5597, |
| "text_generation::longbook_qa/f1": 5598, |
| "text_generation::loss": 5599, |
| "text_generation::m3exam_acc": 5600, |
| "text_generation::macro": 5601, |
| "text_generation::macro_avg/acc": 5602, |
| "text_generation::macro_f1": 5603, |
| "text_generation::maj@1": 5604, |
| "text_generation::maj@16": 5605, |
| "text_generation::math": 5606, |
| "text_generation::math_level_5": 5607, |
| "text_generation::math_verify": 5608, |
| "text_generation::mbpp": 5609, |
| "text_generation::mc1_accuracy": 5610, |
| "text_generation::mc1_accuracy_stderr": 5611, |
| "text_generation::mc2": 5612, |
| "text_generation::mc2_accuracy": 5613, |
| "text_generation::mc2_accuracy_stderr": 5614, |
| "text_generation::mcc": 5615, |
| "text_generation::mean@1": 5616, |
| "text_generation::mean_token_accuracy": 5617, |
| "text_generation::medical_q&a": 5618, |
| "text_generation::medmcqa_mc": 5619, |
| "text_generation::medqa_mc": 5620, |
| "text_generation::membrane": 5621, |
| "text_generation::memory_efficiency_improvement_x": 5622, |
| "text_generation::memory_peak_mb": 5623, |
| "text_generation::meteor": 5624, |
| "text_generation::micro": 5625, |
| "text_generation::micro_avg/rougel": 5626, |
| "text_generation::mmlu": 5627, |
| "text_generation::mmlu-pem_0-shot": 5628, |
| "text_generation::mmlu_5-shot": 5629, |
| "text_generation::mmlu_accuracy": 5630, |
| "text_generation::mmlu_high_school_european_history": 5631, |
| "text_generation::mmlu_high_school_us_history": 5632, |
| "text_generation::mmlu_high_school_world_history": 5633, |
| "text_generation::mmlu_humanities": 5634, |
| "text_generation::mmlu_jurisprudence": 5635, |
| "text_generation::mmlu_logical_fallacies": 5636, |
| "text_generation::mmlu_moral_disputes": 5637, |
| "text_generation::mmlu_other": 5638, |
| "text_generation::mmlu_pro": 5639, |
| "text_generation::mmlu_pro_mc": 5640, |
| "text_generation::mmlu_social_sci.": 5641, |
| "text_generation::mmlu_stem": 5642, |
| "text_generation::mmmlu_de_de_0-shot": 5643, |
| "text_generation::mmmlu_de_de_5-shot": 5644, |
| "text_generation::model_score": 5645, |
| "text_generation::mse": 5646, |
| "text_generation::mt-bench": 5647, |
| "text_generation::mt-bench_score": 5648, |
| "text_generation::mt-bench_win_rate_adjusted_%": 5649, |
| "text_generation::mtbench": 5650, |
| "text_generation::multipl_humaneval": 5651, |
| "text_generation::multipl_mbppp": 5652, |
| "text_generation::n_embd": 5653, |
| "text_generation::n_head": 5654, |
| "text_generation::n_layer": 5655, |
| "text_generation::naturalqs": 5656, |
| "text_generation::naturalqs_gen2mc_mc": 5657, |
| "text_generation::ndcg": 5658, |
| "text_generation::normalized_accuracy_acc_norm": 5659, |
| "text_generation::normalized_accuracy_stderr": 5660, |
| "text_generation::num_active_experts": 5661, |
| "text_generation::num_experts": 5662, |
| "text_generation::num_tokens": 5663, |
| "text_generation::number_of_tokens": 5664, |
| "text_generation::olmo_3-eval_code": 5665, |
| "text_generation::olmo_3-eval_genqa": 5666, |
| "text_generation::olmo_3-eval_math": 5667, |
| "text_generation::olmo_3-eval_mc_non-stem": 5668, |
| "text_generation::olmo_3-eval_mc_stem": 5669, |
| "text_generation::openbookqa": 5670, |
| "text_generation::other": 5671, |
| "text_generation::overall": 5672, |
| "text_generation::overall_accuarcy": 5673, |
| "text_generation::overall_accuracy": 5674, |
| "text_generation::partial_score": 5675, |
| "text_generation::pass@1": 5676, |
| "text_generation::pass@10": 5677, |
| "text_generation::pass@100": 5678, |
| "text_generation::pass@100_t=0.8": 5679, |
| "text_generation::pass@10_java": 5680, |
| "text_generation::pass@10_javascript": 5681, |
| "text_generation::pass@10_python": 5682, |
| "text_generation::pass@10_t=0.8": 5683, |
| "text_generation::pass@16": 5684, |
| "text_generation::pass@1_0-shot_cot": 5685, |
| "text_generation::pass@1_java": 5686, |
| "text_generation::pass@1_javascript": 5687, |
| "text_generation::pass@1_python": 5688, |
| "text_generation::pass@1_t=0.01": 5689, |
| "text_generation::pass@1_t=0.1": 5690, |
| "text_generation::pass@1_t=0.2": 5691, |
| "text_generation::pass@1_thresh=0.5": 5692, |
| "text_generation::pass@32": 5693, |
| "text_generation::pass@4": 5694, |
| "text_generation::pearson": 5695, |
| "text_generation::percentile": 5696, |
| "text_generation::perplexity": 5697, |
| "text_generation::perplexity_baseline": 5698, |
| "text_generation::perplexity_basic": 5699, |
| "text_generation::perplexity_best_checkpoint": 5700, |
| "text_generation::perplexity_mean_evaluation": 5701, |
| "text_generation::perplexity_↓": 5702, |
| "text_generation::piqa": 5703, |
| "text_generation::piqa_mc": 5704, |
| "text_generation::placeholder_metric_for_development": 5705, |
| "text_generation::ppl": 5706, |
| "text_generation::ppl_per_million_parameters": 5707, |
| "text_generation::precision": 5708, |
| "text_generation::prefill_latency_ms": 5709, |
| "text_generation::professional_law": 5710, |
| "text_generation::prompt_level_loose_acc": 5711, |
| "text_generation::prompt_level_loose_accuracy": 5712, |
| "text_generation::prompt_level_strict_acc": 5713, |
| "text_generation::prompt_level_strict_accuracy": 5714, |
| "text_generation::public_avg._f1": 5715, |
| "text_generation::raw_score": 5716, |
| "text_generation::reasoning": 5717, |
| "text_generation::reasoning_accuracy": 5718, |
| "text_generation::reasoning_accuracy_%": 5719, |
| "text_generation::recall": 5720, |
| "text_generation::refusal_rate": 5721, |
| "text_generation::response_relevance": 5722, |
| "text_generation::rmse": 5723, |
| "text_generation::roleplay": 5724, |
| "text_generation::rouge": 5725, |
| "text_generation::rouge-1": 5726, |
| "text_generation::rouge-1-f1": 5727, |
| "text_generation::rouge-1-precision": 5728, |
| "text_generation::rouge-1-recall": 5729, |
| "text_generation::rouge-2": 5730, |
| "text_generation::rouge-2-f1": 5731, |
| "text_generation::rouge-2-precision": 5732, |
| "text_generation::rouge-2-recall": 5733, |
| "text_generation::rouge-l-f1": 5734, |
| "text_generation::rouge-l-precision": 5735, |
| "text_generation::rouge-l-recall": 5736, |
| "text_generation::rouge-l_f1": 5737, |
| "text_generation::rouge1": 5738, |
| "text_generation::rouge_l": 5739, |
| "text_generation::safety_score": 5740, |
| "text_generation::sanskrit_to_english_translation_-_bleu_score": 5741, |
| "text_generation::sanskrit_to_english_translation_-_jaccard_similarity": 5742, |
| "text_generation::sciq_mc": 5743, |
| "text_generation::score": 5744, |
| "text_generation::second_turn": 5745, |
| "text_generation::secondary_structure_3-states": 5746, |
| "text_generation::secondary_structure_8-states": 5747, |
| "text_generation::self-reported": 5748, |
| "text_generation::silma_ragqa_benchmark_score": 5749, |
| "text_generation::single-line_infilling_pass@1": 5750, |
| "text_generation::single-line_infilling_pass@10": 5751, |
| "text_generation::single_choice": 5752, |
| "text_generation::single_line": 5753, |
| "text_generation::social_science": 5754, |
| "text_generation::socialiqa_mc": 5755, |
| "text_generation::sparse_acc": 5756, |
| "text_generation::sparsity": 5757, |
| "text_generation::squad": 5758, |
| "text_generation::squad_gen2mc_mc": 5759, |
| "text_generation::sta": 5760, |
| "text_generation::stem": 5761, |
| "text_generation::strict-match": 5762, |
| "text_generation::strict_accuracy": 5763, |
| "text_generation::style_llm-judge_1-3": 5764, |
| "text_generation::style_meter_greedy_pass_rate": 5765, |
| "text_generation::success_rate": 5766, |
| "text_generation::task_1": 5767, |
| "text_generation::task_2": 5768, |
| "text_generation::task_3": 5769, |
| "text_generation::task_4": 5770, |
| "text_generation::test_1-shot_rougel": 5771, |
| "text_generation::test_suite_sql_eval_-_exact_matching_accuracy": 5772, |
| "text_generation::test_suite_sql_eval_-_execution_accuracy": 5773, |
| "text_generation::thai_exam_acc": 5774, |
| "text_generation::token_accuracy": 5775, |
| "text_generation::tokens": 5776, |
| "text_generation::tokens/second": 5777, |
| "text_generation::tokens_per_second": 5778, |
| "text_generation::top-1": 5779, |
| "text_generation::total": 5780, |
| "text_generation::train_loss": 5781, |
| "text_generation::training_loss": 5782, |
| "text_generation::training_loss_final": 5783, |
| "text_generation::transliteration_-_character_accuracy": 5784, |
| "text_generation::transliteration_-_exact_match_accuracy": 5785, |
| "text_generation::truthfulqa": 5786, |
| "text_generation::truthfulqa_0-shot": 5787, |
| "text_generation::unfair-tos": 5788, |
| "text_generation::validation_bleu": 5789, |
| "text_generation::validation_loss": 5790, |
| "text_generation::validation_loss_best": 5791, |
| "text_generation::validation_loss_final": 5792, |
| "text_generation::validation_perplexity": 5793, |
| "text_generation::validation_perplexity_approx.": 5794, |
| "text_generation::vocab_size": 5795, |
| "text_generation::vram_reduction_%": 5796, |
| "text_generation::wbscore": 5797, |
| "text_generation::weighted_accuarcy": 5798, |
| "text_generation::weighted_accuracy": 5799, |
| "text_generation::wer": 5800, |
| "text_generation::wiki_split": 5801, |
| "text_generation::willingness_to_answer": 5802, |
| "text_generation::win_rate": 5803, |
| "text_generation::win_rate_vs_baseline_claude_opus_4_blind_a/b_n=15": 5804, |
| "text_generation::win_rate_vs_baseline_claude_sonnet_4_blind_a/b_n=42": 5805, |
| "text_generation::win_rate_vs_baseline_gemini_2.5_flash_lite_blind_a/b_n=57": 5806, |
| "text_generation::win_rate_vs_baseline_gpt-4o_blind_a/b_n=57": 5807, |
| "text_generation::win_rate_vs_baseline_overall_claude_judges_blind_a/b_n=57": 5808, |
| "text_generation::winogrande": 5809, |
| "text_generation::winogrande_0-shot": 5810, |
| "text_generation::winogrande_5-shot": 5811, |
| "text_generation::winogrande_rc": 5812, |
| "text_generation::writing": 5813, |
| "text_generation::احسان_compliance": 5814, |
| "text_generation_field_normalization::test_accuracy": 5815, |
| "text_generation_field_normalization::train_accuracy": 5816, |
| "text_generation_field_normalization::validation_accuracy": 5817, |
| "text_generation_in_domain::win_rate_vs_baseline_claude_3.5_sonnet_blind_a/b_n=42": 5818, |
| "text_generation_in_domain::win_rate_vs_baseline_claude_haiku_4.5_blind_a/b_n=57": 5819, |
| "text_generation_in_domain::win_rate_vs_baseline_claude_opus_4_blind_a/b_n=57": 5820, |
| "text_generation_in_domain::win_rate_vs_baseline_gemini_2.5_flash_lite_blind_a/b_n=57": 5821, |
| "text_generation_in_domain::win_rate_vs_baseline_gpt-4o_blind_a/b_n=57": 5822, |
| "text_generation_out_of_domain::win_rate_vs_baseline_claude_haiku_4.5_blind_a/b_n=15": 5823, |
| "text_generation_out_of_domain::win_rate_vs_baseline_claude_opus_4_blind_a/b_n=15": 5824, |
| "text_political_leaning_classification::f1": 5825, |
| "text_prediction::cross_entropy_loss": 5826, |
| "text_prediction::invalid_move_rate_imr": 5827, |
| "text_ranking::mae": 5828, |
| "text_ranking::mse": 5829, |
| "text_ranking::pearson_correlation": 5830, |
| "text_ranking::r2_score": 5831, |
| "text_ranking::rmse": 5832, |
| "text_ranking::spearman_correlation": 5833, |
| "text_ranking::wer": 5834, |
| "text_regression::rmse": 5835, |
| "text_regression::r²": 5836, |
| "text_retrieval::ndcg@10": 5837, |
| "text_simplification::sari_easse>=0.2.1": 5838, |
| "text_summarization::rouge-1": 5839, |
| "text_summarization::rouge-2": 5840, |
| "text_summarization::rouge1": 5841, |
| "text_summarization::rouge2": 5842, |
| "text_summarization::rouge_l": 5843, |
| "text_summarization::rougelsum": 5844, |
| "text_summarization::test_rouge-1": 5845, |
| "text_summarization::test_rouge-2": 5846, |
| "text_summarization::test_rouge-l": 5847, |
| "text_summarization::test_rouge-l_sum": 5848, |
| "text_summarization::validation_loss": 5849, |
| "text_summarization::validation_rouge-1": 5850, |
| "text_summarization::validation_rouge-2": 5851, |
| "text_summarization::validation_rouge-l": 5852, |
| "text_summarization::validation_rouge-l_sum": 5853, |
| "text_to_3d::avg": 5854, |
| "text_to_audio::audio_quality": 5855, |
| "text_to_audio::chord_match": 5856, |
| "text_to_audio::harmony_and_consonance": 5857, |
| "text_to_audio::musicality": 5858, |
| "text_to_audio::overall_match": 5859, |
| "text_to_audio::rhythmic_presence_and_stability": 5860, |
| "text_to_audio::tempo_match": 5861, |
| "text_to_audio_retrieval::r@1": 5862, |
| "text_to_image::clip_score": 5863, |
| "text_to_image::fid": 5864, |
| "text_to_image::imagereward": 5865, |
| "text_to_image::lpips": 5866, |
| "text_to_image::mp-lpips": 5867, |
| "text_to_image::remaining": 5868, |
| "text_to_image::score": 5869, |
| "text_to_image::training_done": 5870, |
| "text_to_image_generation::aesthetics_laion_aesthtetics_predictor": 5871, |
| "text_to_image_generation::block-fid": 5872, |
| "text_to_image_generation::cfg_scale": 5873, |
| "text_to_image_generation::fid": 5874, |
| "text_to_image_generation::inference_steps": 5875, |
| "text_to_image_generation::overall": 5876, |
| "text_to_image_generation::total_model_size_gb": 5877, |
| "text_to_molecular_generation::validation_loss": 5878, |
| "text_to_music_generation::fad": 5879, |
| "text_to_speech::cer": 5880, |
| "text_to_speech::human_preference_vs_elevenlabs": 5881, |
| "text_to_speech::loss": 5882, |
| "text_to_speech::mean_opinion_score": 5883, |
| "text_to_speech::mean_opinion_score_mos": 5884, |
| "text_to_speech::mse": 5885, |
| "text_to_speech::speaker_similarity": 5886, |
| "text_to_speech::validation_loss": 5887, |
| "text_to_speech::word_error_rate_wer": 5888, |
| "text_to_speech_synthesis::audio_quality_mos": 5889, |
| "text_to_sql::exact_match": 5890, |
| "text_to_sql::exact_match_accuracy_dev": 5891, |
| "text_to_sql::exact_match_accuracy_in_dev": 5892, |
| "text_to_sql::execution_accuracy": 5893, |
| "text_to_sql::execution_accuracy_%_dev": 5894, |
| "text_to_sql::success_rate": 5895, |
| "text_to_sql::training_loss": 5896, |
| "text_to_sql::validation_loss": 5897, |
| "text_to_video_generation::clipsim": 5898, |
| "text_to_video_generation::fvd16": 5899, |
| "text_tokenization::compression_ratio": 5900, |
| "text_tokenization::model_size_kb": 5901, |
| "text_tokenization::processing_speed_tokens/sec": 5902, |
| "text_tokenization::tokens_per_character_compounds": 5903, |
| "text_tokenization::tokens_per_character_overall": 5904, |
| "text_tokenization::tokens_per_character_real_news": 5905, |
| "text_tokenization::vocabulary_size": 5906, |
| "the_semantic_segmentation_of_remote_sensing_imagery::iou_%": 5907, |
| "theory_of_mind::accuracy": 5908, |
| "thinking::accuracy": 5909, |
| "time_series_forecasting::mae": 5910, |
| "time_series_forecasting::mse": 5911, |
| "tinyqa_benchmark::exact_match": 5912, |
| "token_classification::accuracy": 5913, |
| "token_classification::average_f1": 5914, |
| "token_classification::deepslot_f1": 5915, |
| "token_classification::entity_span_f1_test_2020": 5916, |
| "token_classification::entity_span_f1_test_2021": 5917, |
| "token_classification::entity_span_precision_test_2020": 5918, |
| "token_classification::entity_span_recall_test_2020": 5919, |
| "token_classification::entity_span_recall_test_2021": 5920, |
| "token_classification::ents_f": 5921, |
| "token_classification::ents_p": 5922, |
| "token_classification::ents_r": 5923, |
| "token_classification::eud_jaccard": 5924, |
| "token_classification::f1": 5925, |
| "token_classification::f1-score": 5926, |
| "token_classification::f1@10": 5927, |
| "token_classification::f1@5": 5928, |
| "token_classification::f1@m": 5929, |
| "token_classification::f1_entity_span": 5930, |
| "token_classification::f1_macro": 5931, |
| "token_classification::f1_micro": 5932, |
| "token_classification::f1_score_decimal": 5933, |
| "token_classification::f1_test_2020": 5934, |
| "token_classification::f1_test_2021": 5935, |
| "token_classification::global_strict_f1": 5936, |
| "token_classification::implicit_social_group_reference_seqeval": 5937, |
| "token_classification::ip_partial_f1": 5938, |
| "token_classification::ip_strict_f1": 5939, |
| "token_classification::kv_partial_f1": 5940, |
| "token_classification::kv_strict_f1": 5941, |
| "token_classification::lemma_f1": 5942, |
| "token_classification::loc_f1-score": 5943, |
| "token_classification::loc_precision": 5944, |
| "token_classification::loc_recall": 5945, |
| "token_classification::loss": 5946, |
| "token_classification::macro-f1": 5947, |
| "token_classification::macro_f1_test_2020": 5948, |
| "token_classification::macro_f1_test_2021": 5949, |
| "token_classification::macro_precision_test_2020": 5950, |
| "token_classification::macro_precision_test_2021": 5951, |
| "token_classification::macro_recall_test_2020": 5952, |
| "token_classification::macro_recall_test_2021": 5953, |
| "token_classification::micro-f1": 5954, |
| "token_classification::micro_f1_score": 5955, |
| "token_classification::misc_f1-score": 5956, |
| "token_classification::misc_precision": 5957, |
| "token_classification::misc_recall": 5958, |
| "token_classification::miscs_f1": 5959, |
| "token_classification::morphology_f1": 5960, |
| "token_classification::null_f1": 5961, |
| "token_classification::org_f1-score": 5962, |
| "token_classification::org_precision": 5963, |
| "token_classification::org_recall": 5964, |
| "token_classification::organization_public_institution_or_collective_actor_seqeval": 5965, |
| "token_classification::p@10": 5966, |
| "token_classification::p@5": 5967, |
| "token_classification::p@m": 5968, |
| "token_classification::per_f1-score": 5969, |
| "token_classification::per_precision": 5970, |
| "token_classification::per_recall": 5971, |
| "token_classification::political_group_seqeval": 5972, |
| "token_classification::political_institution_seqeval": 5973, |
| "token_classification::poseval": 5974, |
| "token_classification::precision": 5975, |
| "token_classification::precision_entity_span": 5976, |
| "token_classification::precision_macro": 5977, |
| "token_classification::precision_micro": 5978, |
| "token_classification::precision_test_2020": 5979, |
| "token_classification::precision_test_2021": 5980, |
| "token_classification::r@10": 5981, |
| "token_classification::r@5": 5982, |
| "token_classification::r@m": 5983, |
| "token_classification::recall": 5984, |
| "token_classification::recall_entity_span": 5985, |
| "token_classification::recall_macro": 5986, |
| "token_classification::recall_micro": 5987, |
| "token_classification::recall_test_2020": 5988, |
| "token_classification::recall_test_2021": 5989, |
| "token_classification::results_partial_f1": 5990, |
| "token_classification::score": 5991, |
| "token_classification::semclass_f1": 5992, |
| "token_classification::social_group_seqeval": 5993, |
| "token_classification::test_accuracy": 5994, |
| "token_classification::test_f1": 5995, |
| "token_classification::test_loss": 5996, |
| "token_classification::test_precision": 5997, |
| "token_classification::test_recall": 5998, |
| "token_classification::tim_partial_f1": 5999, |
| "token_classification::tim_strict_f1": 6000, |
| "token_classification::token_scores_/_adresse_/_f1": 6001, |
| "token_classification::token_scores_/_adresse_/_precision": 6002, |
| "token_classification::token_scores_/_adresse_/_recall": 6003, |
| "token_classification::token_scores_/_adresse_/_redact": 6004, |
| "token_classification::token_scores_/_adresse_/_redact_full": 6005, |
| "token_classification::token_scores_/_date_/_f1": 6006, |
| "token_classification::token_scores_/_date_/_precision": 6007, |
| "token_classification::token_scores_/_date_/_recall": 6008, |
| "token_classification::token_scores_/_date_/_redact": 6009, |
| "token_classification::token_scores_/_date_/_redact_full": 6010, |
| "token_classification::token_scores_/_date_naissance_/_f1": 6011, |
| "token_classification::token_scores_/_date_naissance_/_precision": 6012, |
| "token_classification::token_scores_/_date_naissance_/_recall": 6013, |
| "token_classification::token_scores_/_date_naissance_/_redact": 6014, |
| "token_classification::token_scores_/_date_naissance_/_redact_full": 6015, |
| "token_classification::token_scores_/_disease_/_f1": 6016, |
| "token_classification::token_scores_/_disease_/_precision": 6017, |
| "token_classification::token_scores_/_disease_/_recall": 6018, |
| "token_classification::token_scores_/_ipp_/_f1": 6019, |
| "token_classification::token_scores_/_ipp_/_precision": 6020, |
| "token_classification::token_scores_/_ipp_/_recall": 6021, |
| "token_classification::token_scores_/_ipp_/_redact": 6022, |
| "token_classification::token_scores_/_ipp_/_redact_full": 6023, |
| "token_classification::token_scores_/_mail_/_f1": 6024, |
| "token_classification::token_scores_/_mail_/_precision": 6025, |
| "token_classification::token_scores_/_mail_/_recall": 6026, |
| "token_classification::token_scores_/_mail_/_redact": 6027, |
| "token_classification::token_scores_/_mail_/_redact_full": 6028, |
| "token_classification::token_scores_/_medication_/_f1": 6029, |
| "token_classification::token_scores_/_medication_/_precision": 6030, |
| "token_classification::token_scores_/_medication_/_recall": 6031, |
| "token_classification::token_scores_/_micro_/_f1": 6032, |
| "token_classification::token_scores_/_micro_/_precision": 6033, |
| "token_classification::token_scores_/_micro_/_recall": 6034, |
| "token_classification::token_scores_/_micro_/_redact": 6035, |
| "token_classification::token_scores_/_micro_/_redact_full": 6036, |
| "token_classification::token_scores_/_nda_/_f1": 6037, |
| "token_classification::token_scores_/_nda_/_precision": 6038, |
| "token_classification::token_scores_/_nda_/_recall": 6039, |
| "token_classification::token_scores_/_nda_/_redact": 6040, |
| "token_classification::token_scores_/_nda_/_redact_full": 6041, |
| "token_classification::token_scores_/_nom_/_f1": 6042, |
| "token_classification::token_scores_/_nom_/_precision": 6043, |
| "token_classification::token_scores_/_nom_/_recall": 6044, |
| "token_classification::token_scores_/_nom_/_redact": 6045, |
| "token_classification::token_scores_/_nom_/_redact_full": 6046, |
| "token_classification::token_scores_/_prenom_/_f1": 6047, |
| "token_classification::token_scores_/_prenom_/_precision": 6048, |
| "token_classification::token_scores_/_prenom_/_recall": 6049, |
| "token_classification::token_scores_/_prenom_/_redact": 6050, |
| "token_classification::token_scores_/_prenom_/_redact_full": 6051, |
| "token_classification::token_scores_/_procedure_/_f1": 6052, |
| "token_classification::token_scores_/_procedure_/_precision": 6053, |
| "token_classification::token_scores_/_procedure_/_recall": 6054, |
| "token_classification::token_scores_/_secu_/_f1": 6055, |
| "token_classification::token_scores_/_secu_/_precision": 6056, |
| "token_classification::token_scores_/_secu_/_recall": 6057, |
| "token_classification::token_scores_/_secu_/_redact": 6058, |
| "token_classification::token_scores_/_secu_/_redact_full": 6059, |
| "token_classification::token_scores_/_symptom_/_f1": 6060, |
| "token_classification::token_scores_/_symptom_/_precision": 6061, |
| "token_classification::token_scores_/_symptom_/_recall": 6062, |
| "token_classification::token_scores_/_tel_/_f1": 6063, |
| "token_classification::token_scores_/_tel_/_precision": 6064, |
| "token_classification::token_scores_/_tel_/_recall": 6065, |
| "token_classification::token_scores_/_tel_/_redact": 6066, |
| "token_classification::token_scores_/_tel_/_redact_full": 6067, |
| "token_classification::token_scores_/_ville_/_f1": 6068, |
| "token_classification::token_scores_/_ville_/_precision": 6069, |
| "token_classification::token_scores_/_ville_/_recall": 6070, |
| "token_classification::token_scores_/_ville_/_redact": 6071, |
| "token_classification::token_scores_/_ville_/_redact_full": 6072, |
| "token_classification::token_scores_/_zip_/_f1": 6073, |
| "token_classification::token_scores_/_zip_/_precision": 6074, |
| "token_classification::token_scores_/_zip_/_recall": 6075, |
| "token_classification::token_scores_/_zip_/_redact": 6076, |
| "token_classification::token_scores_/_zip_/_redact_full": 6077, |
| "token_classification::treatment_f1-score": 6078, |
| "token_classification::treatment_precision": 6079, |
| "token_classification::treatment_recall": 6080, |
| "token_classification::ud_jaccard": 6081, |
| "token_classification::weighted-f1": 6082, |
| "token_classification::weighted_f1": 6083, |
| "token_classification::weighted_precision": 6084, |
| "token_classification::weighted_recall": 6085, |
| "tomato::accuracy": 6086, |
| "tomato_leaf_disease_detection::test_accuracy": 6087, |
| "tomato_leaf_disease_detection::test_loss": 6088, |
| "tool_use::accuracy": 6089, |
| "tool_use::macro_avg/acc": 6090, |
| "toon_conversion_schema_driven_extraction::final_training_loss": 6091, |
| "toon_conversion_schema_driven_extraction::lowest_loss": 6092, |
| "toon_conversion_schema_driven_extraction::total_steps": 6093, |
| "top-1": 6094, |
| "topic_classification::accuracy": 6095, |
| "topic_classification::f1": 6096, |
| "topic_classification::f1_macro": 6097, |
| "topic_classification::f1_micro": 6098, |
| "topic_classification::macro-averaged_f1": 6099, |
| "topic_classification::macro_f1": 6100, |
| "topic_classification::micro_f1": 6101, |
| "topic_classification::precision": 6102, |
| "topic_classification::recall": 6103, |
| "topic_classification::validation_loss": 6104, |
| "topic_classification::worst_group_accuracy": 6105, |
| "toxic_detector_cnn::f1_class_negative": 6106, |
| "toxic_detector_cnn::f1_class_positive": 6107, |
| "toxic_detector_cnn::precision_class_negative": 6108, |
| "toxic_detector_cnn::precision_class_positive": 6109, |
| "toxic_detector_cnn::recall_class_negative": 6110, |
| "toxic_detector_cnn::recall_class_positive": 6111, |
| "toxic_detector_rnn::f1_class_negative": 6112, |
| "toxic_detector_rnn::f1_class_positive": 6113, |
| "toxic_detector_rnn::precision_class_negative": 6114, |
| "toxic_detector_rnn::precision_class_positive": 6115, |
| "toxic_detector_rnn::recall_class_negative": 6116, |
| "toxic_detector_rnn::recall_class_positive": 6117, |
| "toxic_detector_roberta::f1_class_negative": 6118, |
| "toxic_detector_roberta::f1_class_positive": 6119, |
| "toxic_detector_roberta::precision_class_negative": 6120, |
| "toxic_detector_roberta::precision_class_positive": 6121, |
| "toxic_detector_roberta::recall_class_negative": 6122, |
| "toxic_detector_roberta::recall_class_positive": 6123, |
| "toxicity_12_tasks::auc": 6124, |
| "toxicity_detection::accuracy": 6125, |
| "toxicity_detection::f1": 6126, |
| "toxicity_detection::f1_score_toxic_class": 6127, |
| "toxicity_detection::inference_latency_ms": 6128, |
| "toxicity_detection::precision": 6129, |
| "toxicity_detection::recall": 6130, |
| "track_classification::average_individual_accuracy": 6131, |
| "track_classification::average_individual_loss": 6132, |
| "track_classification::best_individual_accuracy": 6133, |
| "trading::average_win_$": 6134, |
| "trading::risk-reward_ratio": 6135, |
| "trading::win_rate_%": 6136, |
| "traffic_prediction::mae_60_min": 6137, |
| "training_free_3d_part_segmentation::miou": 6138, |
| "training_free_3d_point_cloud_classification::accuracy_%": 6139, |
| "transit_route_planning::format_compliance_rate": 6140, |
| "transit_route_planning::route_quality_score": 6141, |
| "translation::baseline_bleu": 6142, |
| "translation::baseline_chrf": 6143, |
| "translation::bertscore-f1": 6144, |
| "translation::bertscore_f1": 6145, |
| "translation::bleu": 6146, |
| "translation::bleu_improvement": 6147, |
| "translation::bleu_improvement_percent": 6148, |
| "translation::cer": 6149, |
| "translation::chrf": 6150, |
| "translation::chrf++": 6151, |
| "translation::chrf_improvement": 6152, |
| "translation::chrf_improvement_percent": 6153, |
| "translation::comet": 6154, |
| "translation::english_to_chinese": 6155, |
| "translation::eval_bertscore_f1": 6156, |
| "translation::eval_bleu": 6157, |
| "translation::eval_chrf": 6158, |
| "translation::eval_loss": 6159, |
| "translation::final_eval_bertscore_f1": 6160, |
| "translation::final_eval_bleu": 6161, |
| "translation::final_eval_chrf": 6162, |
| "translation::final_eval_loss": 6163, |
| "translation::gen_len": 6164, |
| "translation::loss": 6165, |
| "translation::mean_accuracy": 6166, |
| "translation::meteor": 6167, |
| "translation::rouge": 6168, |
| "translation::sacrebleu": 6169, |
| "translation::sacrebleu_chrf": 6170, |
| "translation::src2trg_accuracy": 6171, |
| "translation::ter": 6172, |
| "translation::test_bleu": 6173, |
| "translation::train_loss": 6174, |
| "translation::training_loss": 6175, |
| "translation::trg2src_accuracy": 6176, |
| "translation::validation_loss": 6177, |
| "translation::wer": 6178, |
| "translation::wil": 6179, |
| "translation::wip": 6180, |
| "translation_acm_deu::bleu": 6181, |
| "translation_acm_deu::chr-f": 6182, |
| "translation_acm_eng::bleu": 6183, |
| "translation_acm_eng::chr-f": 6184, |
| "translation_acm_fra::bleu": 6185, |
| "translation_acm_fra::chr-f": 6186, |
| "translation_acm_por::bleu": 6187, |
| "translation_acm_por::chr-f": 6188, |
| "translation_acm_spa::bleu": 6189, |
| "translation_acm_spa::chr-f": 6190, |
| "translation_afr_deu::bleu": 6191, |
| "translation_afr_deu::chr-f": 6192, |
| "translation_afr_eng::bleu": 6193, |
| "translation_afr_eng::chr-f": 6194, |
| "translation_afr_fra::bleu": 6195, |
| "translation_afr_fra::chr-f": 6196, |
| "translation_afr_nld::bleu": 6197, |
| "translation_afr_nld::chr-f": 6198, |
| "translation_afr_por::bleu": 6199, |
| "translation_afr_por::chr-f": 6200, |
| "translation_afr_spa::bleu": 6201, |
| "translation_afr_spa::chr-f": 6202, |
| "translation_amh_deu::bleu": 6203, |
| "translation_amh_deu::chr-f": 6204, |
| "translation_amh_eng::bleu": 6205, |
| "translation_amh_eng::chr-f": 6206, |
| "translation_amh_fra::bleu": 6207, |
| "translation_amh_fra::chr-f": 6208, |
| "translation_amh_por::bleu": 6209, |
| "translation_amh_por::chr-f": 6210, |
| "translation_amh_spa::bleu": 6211, |
| "translation_amh_spa::chr-f": 6212, |
| "translation_apc_deu::bleu": 6213, |
| "translation_apc_deu::chr-f": 6214, |
| "translation_apc_eng::bleu": 6215, |
| "translation_apc_eng::chr-f": 6216, |
| "translation_apc_fra::bleu": 6217, |
| "translation_apc_fra::chr-f": 6218, |
| "translation_apc_por::bleu": 6219, |
| "translation_apc_por::chr-f": 6220, |
| "translation_apc_spa::bleu": 6221, |
| "translation_apc_spa::chr-f": 6222, |
| "translation_ara_cat::bleu": 6223, |
| "translation_ara_cat::chr-f": 6224, |
| "translation_ara_dan::bleu": 6225, |
| "translation_ara_dan::chr-f": 6226, |
| "translation_ara_deu::bleu": 6227, |
| "translation_ara_deu::chr-f": 6228, |
| "translation_ara_eng::bleu": 6229, |
| "translation_ara_eng::chr-f": 6230, |
| "translation_ara_fra::bleu": 6231, |
| "translation_ara_fra::chr-f": 6232, |
| "translation_ara_glg::bleu": 6233, |
| "translation_ara_glg::chr-f": 6234, |
| "translation_ara_ita::bleu": 6235, |
| "translation_ara_ita::chr-f": 6236, |
| "translation_ara_nob::bleu": 6237, |
| "translation_ara_nob::chr-f": 6238, |
| "translation_ara_por::bleu": 6239, |
| "translation_ara_por::chr-f": 6240, |
| "translation_ara_ron::bleu": 6241, |
| "translation_ara_ron::chr-f": 6242, |
| "translation_ara_spa::bleu": 6243, |
| "translation_ara_spa::chr-f": 6244, |
| "translation_ara_swe::bleu": 6245, |
| "translation_ara_swe::chr-f": 6246, |
| "translation_arb_eng::bleu": 6247, |
| "translation_arb_eng::chrf": 6248, |
| "translation_arb_eng::comet": 6249, |
| "translation_arz_deu::bleu": 6250, |
| "translation_arz_deu::chr-f": 6251, |
| "translation_arz_eng::bleu": 6252, |
| "translation_arz_eng::chr-f": 6253, |
| "translation_arz_fra::bleu": 6254, |
| "translation_arz_fra::chr-f": 6255, |
| "translation_arz_por::bleu": 6256, |
| "translation_arz_por::chr-f": 6257, |
| "translation_arz_spa::bleu": 6258, |
| "translation_arz_spa::chr-f": 6259, |
| "translation_asm_eng::bleu": 6260, |
| "translation_asm_eng::chr-f": 6261, |
| "translation_asm_fra::bleu": 6262, |
| "translation_asm_fra::chr-f": 6263, |
| "translation_asm_por::bleu": 6264, |
| "translation_asm_por::chr-f": 6265, |
| "translation_ast_cat::bleu": 6266, |
| "translation_ast_cat::chr-f": 6267, |
| "translation_ast_deu::bleu": 6268, |
| "translation_ast_deu::chr-f": 6269, |
| "translation_ast_eng::bleu": 6270, |
| "translation_ast_eng::chr-f": 6271, |
| "translation_ast_fra::bleu": 6272, |
| "translation_ast_fra::chr-f": 6273, |
| "translation_ast_glg::bleu": 6274, |
| "translation_ast_glg::chr-f": 6275, |
| "translation_ast_ita::bleu": 6276, |
| "translation_ast_ita::chr-f": 6277, |
| "translation_ast_oci::bleu": 6278, |
| "translation_ast_oci::chr-f": 6279, |
| "translation_ast_por::bleu": 6280, |
| "translation_ast_por::chr-f": 6281, |
| "translation_ast_ron::bleu": 6282, |
| "translation_ast_ron::chr-f": 6283, |
| "translation_ast_spa::bleu": 6284, |
| "translation_ast_spa::chr-f": 6285, |
| "translation_awa_deu::bleu": 6286, |
| "translation_awa_deu::chr-f": 6287, |
| "translation_awa_eng::bleu": 6288, |
| "translation_awa_eng::chr-f": 6289, |
| "translation_awa_fra::bleu": 6290, |
| "translation_awa_fra::chr-f": 6291, |
| "translation_awa_por::bleu": 6292, |
| "translation_awa_por::chr-f": 6293, |
| "translation_awa_spa::bleu": 6294, |
| "translation_awa_spa::chr-f": 6295, |
| "translation_aze_latn_deu::bleu": 6296, |
| "translation_aze_latn_deu::chr-f": 6297, |
| "translation_aze_latn_eng::bleu": 6298, |
| "translation_aze_latn_eng::chr-f": 6299, |
| "translation_aze_latn_fra::bleu": 6300, |
| "translation_aze_latn_fra::chr-f": 6301, |
| "translation_aze_latn_por::bleu": 6302, |
| "translation_aze_latn_por::chr-f": 6303, |
| "translation_aze_latn_spa::bleu": 6304, |
| "translation_aze_latn_spa::chr-f": 6305, |
| "translation_bak_eng::bleu": 6306, |
| "translation_bak_eng::chr-f": 6307, |
| "translation_ban_eng::bleu": 6308, |
| "translation_ban_eng::chr-f": 6309, |
| "translation_ban_fra::bleu": 6310, |
| "translation_ban_fra::chr-f": 6311, |
| "translation_ban_por::bleu": 6312, |
| "translation_ban_por::chr-f": 6313, |
| "translation_bar_bar::bleu": 6314, |
| "translation_bar_bar::chr-f": 6315, |
| "translation_bel_cat::bleu": 6316, |
| "translation_bel_cat::chr-f": 6317, |
| "translation_bel_deu::bleu": 6318, |
| "translation_bel_deu::chr-f": 6319, |
| "translation_bel_eng::bleu": 6320, |
| "translation_bel_eng::chr-f": 6321, |
| "translation_bel_fra::bleu": 6322, |
| "translation_bel_fra::chr-f": 6323, |
| "translation_bel_glg::bleu": 6324, |
| "translation_bel_glg::chr-f": 6325, |
| "translation_bel_ita::bleu": 6326, |
| "translation_bel_ita::chr-f": 6327, |
| "translation_bel_pol::bleu": 6328, |
| "translation_bel_por::bleu": 6329, |
| "translation_bel_por::chr-f": 6330, |
| "translation_bel_ron::bleu": 6331, |
| "translation_bel_ron::chr-f": 6332, |
| "translation_bel_rus::bleu": 6333, |
| "translation_bel_spa::bleu": 6334, |
| "translation_bel_spa::chr-f": 6335, |
| "translation_bel_ukr::bleu": 6336, |
| "translation_bem_eng::bleu": 6337, |
| "translation_bem_eng::chr-f": 6338, |
| "translation_bem_fra::bleu": 6339, |
| "translation_bem_fra::chr-f": 6340, |
| "translation_bem_por::bleu": 6341, |
| "translation_bem_por::chr-f": 6342, |
| "translation_bem_spa::bleu": 6343, |
| "translation_bem_spa::chr-f": 6344, |
| "translation_ben_deu::bleu": 6345, |
| "translation_ben_deu::chr-f": 6346, |
| "translation_ben_eng::bleu": 6347, |
| "translation_ben_eng::chr-f": 6348, |
| "translation_ben_eng::chrf": 6349, |
| "translation_ben_eng::comet": 6350, |
| "translation_ben_fra::bleu": 6351, |
| "translation_ben_fra::chr-f": 6352, |
| "translation_ben_por::bleu": 6353, |
| "translation_ben_por::chr-f": 6354, |
| "translation_ben_spa::bleu": 6355, |
| "translation_ben_spa::chr-f": 6356, |
| "translation_bho_deu::bleu": 6357, |
| "translation_bho_deu::chr-f": 6358, |
| "translation_bho_eng::bleu": 6359, |
| "translation_bho_eng::chr-f": 6360, |
| "translation_bho_fra::bleu": 6361, |
| "translation_bho_fra::chr-f": 6362, |
| "translation_bho_por::bleu": 6363, |
| "translation_bho_por::chr-f": 6364, |
| "translation_bho_spa::bleu": 6365, |
| "translation_bho_spa::chr-f": 6366, |
| "translation_bos_latn_eng::bleu": 6367, |
| "translation_bos_latn_eng::chr-f": 6368, |
| "translation_bre_eng::bleu": 6369, |
| "translation_bre_eng::chr-f": 6370, |
| "translation_bre_fra::bleu": 6371, |
| "translation_bre_fra::chr-f": 6372, |
| "translation_bul_deu::bleu": 6373, |
| "translation_bul_deu::chr-f": 6374, |
| "translation_bul_eng::bleu": 6375, |
| "translation_bul_eng::chr-f": 6376, |
| "translation_bul_fra::bleu": 6377, |
| "translation_bul_fra::chr-f": 6378, |
| "translation_bul_ita::bleu": 6379, |
| "translation_bul_ita::chr-f": 6380, |
| "translation_bul_por::bleu": 6381, |
| "translation_bul_por::chr-f": 6382, |
| "translation_bul_ron::bleu": 6383, |
| "translation_bul_ron::chr-f": 6384, |
| "translation_bul_rus::bleu": 6385, |
| "translation_bul_spa::bleu": 6386, |
| "translation_bul_spa::chr-f": 6387, |
| "translation_bul_ukr::bleu": 6388, |
| "translation_cat_ara::bleu": 6389, |
| "translation_cat_ara::chr-f": 6390, |
| "translation_cat_ast::bleu": 6391, |
| "translation_cat_ast::chr-f": 6392, |
| "translation_cat_deu::bleu": 6393, |
| "translation_cat_deu::chr-f": 6394, |
| "translation_cat_eng::bleu": 6395, |
| "translation_cat_eng::chr-f": 6396, |
| "translation_cat_fra::bleu": 6397, |
| "translation_cat_fra::chr-f": 6398, |
| "translation_cat_glg::bleu": 6399, |
| "translation_cat_glg::chr-f": 6400, |
| "translation_cat_heb::bleu": 6401, |
| "translation_cat_heb::chr-f": 6402, |
| "translation_cat_ita::bleu": 6403, |
| "translation_cat_ita::chr-f": 6404, |
| "translation_cat_lav::bleu": 6405, |
| "translation_cat_lav::chr-f": 6406, |
| "translation_cat_lit::bleu": 6407, |
| "translation_cat_lit::chr-f": 6408, |
| "translation_cat_oci::bleu": 6409, |
| "translation_cat_oci::chr-f": 6410, |
| "translation_cat_por::bleu": 6411, |
| "translation_cat_por::chr-f": 6412, |
| "translation_cat_ron::bleu": 6413, |
| "translation_cat_ron::chr-f": 6414, |
| "translation_cat_spa::bleu": 6415, |
| "translation_cat_spa::chr-f": 6416, |
| "translation_cat_tur::bleu": 6417, |
| "translation_cat_tur::chr-f": 6418, |
| "translation_ceb_deu::bleu": 6419, |
| "translation_ceb_deu::chr-f": 6420, |
| "translation_ceb_eng::bleu": 6421, |
| "translation_ceb_eng::chr-f": 6422, |
| "translation_ceb_fra::bleu": 6423, |
| "translation_ceb_fra::chr-f": 6424, |
| "translation_ceb_por::bleu": 6425, |
| "translation_ceb_por::chr-f": 6426, |
| "translation_ceb_spa::bleu": 6427, |
| "translation_ceb_spa::chr-f": 6428, |
| "translation_ces_deu::bleu": 6429, |
| "translation_ces_deu::chr-f": 6430, |
| "translation_ces_eng::bleu": 6431, |
| "translation_ces_eng::chr-f": 6432, |
| "translation_ces_eng::chrf": 6433, |
| "translation_ces_eng::comet": 6434, |
| "translation_ces_fra::bleu": 6435, |
| "translation_ces_fra::chr-f": 6436, |
| "translation_ces_por::bleu": 6437, |
| "translation_ces_por::chr-f": 6438, |
| "translation_ces_rus::bleu": 6439, |
| "translation_ces_spa::bleu": 6440, |
| "translation_ces_spa::chr-f": 6441, |
| "translation_ces_ukr::bleu": 6442, |
| "translation_ckb_deu::bleu": 6443, |
| "translation_ckb_deu::chr-f": 6444, |
| "translation_ckb_eng::bleu": 6445, |
| "translation_ckb_eng::chr-f": 6446, |
| "translation_ckb_fra::bleu": 6447, |
| "translation_ckb_fra::chr-f": 6448, |
| "translation_ckb_por::bleu": 6449, |
| "translation_ckb_por::chr-f": 6450, |
| "translation_ckb_spa::bleu": 6451, |
| "translation_ckb_spa::chr-f": 6452, |
| "translation_cmn_hans_eng::bleu": 6453, |
| "translation_cmn_hans_eng::chr-f": 6454, |
| "translation_cmn_hans_fra::bleu": 6455, |
| "translation_cmn_hans_fra::chr-f": 6456, |
| "translation_cmn_hans_por::bleu": 6457, |
| "translation_cmn_hans_por::chr-f": 6458, |
| "translation_cmn_hans_spa::bleu": 6459, |
| "translation_cmn_hans_spa::chr-f": 6460, |
| "translation_cmn_hant_eng::bleu": 6461, |
| "translation_cmn_hant_eng::chr-f": 6462, |
| "translation_cmn_hant_fra::bleu": 6463, |
| "translation_cmn_hant_fra::chr-f": 6464, |
| "translation_cmn_hant_por::bleu": 6465, |
| "translation_cmn_hant_por::chr-f": 6466, |
| "translation_cmn_hant_spa::bleu": 6467, |
| "translation_cmn_hant_spa::chr-f": 6468, |
| "translation_crh_deu::bleu": 6469, |
| "translation_crh_deu::chr-f": 6470, |
| "translation_crh_eng::bleu": 6471, |
| "translation_crh_eng::chr-f": 6472, |
| "translation_crh_fra::bleu": 6473, |
| "translation_crh_fra::chr-f": 6474, |
| "translation_crh_por::bleu": 6475, |
| "translation_crh_por::chr-f": 6476, |
| "translation_crh_spa::bleu": 6477, |
| "translation_crh_spa::chr-f": 6478, |
| "translation_cym_deu::bleu": 6479, |
| "translation_cym_deu::chr-f": 6480, |
| "translation_cym_eng::bleu": 6481, |
| "translation_cym_eng::chr-f": 6482, |
| "translation_cym_fra::bleu": 6483, |
| "translation_cym_fra::chr-f": 6484, |
| "translation_cym_por::bleu": 6485, |
| "translation_cym_por::chr-f": 6486, |
| "translation_cym_spa::bleu": 6487, |
| "translation_cym_spa::chr-f": 6488, |
| "translation_dan_ara::bleu": 6489, |
| "translation_dan_ara::chr-f": 6490, |
| "translation_dan_cat::bleu": 6491, |
| "translation_dan_cat::chr-f": 6492, |
| "translation_dan_ces::bleu": 6493, |
| "translation_dan_ces::chr-f": 6494, |
| "translation_dan_deu::bleu": 6495, |
| "translation_dan_deu::chr-f": 6496, |
| "translation_dan_eng::bleu": 6497, |
| "translation_dan_eng::chr-f": 6498, |
| "translation_dan_eng::chrf": 6499, |
| "translation_dan_eng::comet": 6500, |
| "translation_dan_fra::bleu": 6501, |
| "translation_dan_fra::chr-f": 6502, |
| "translation_dan_glg::bleu": 6503, |
| "translation_dan_glg::chr-f": 6504, |
| "translation_dan_heb::bleu": 6505, |
| "translation_dan_heb::chr-f": 6506, |
| "translation_dan_isl::bleu": 6507, |
| "translation_dan_isl::chr-f": 6508, |
| "translation_dan_ita::bleu": 6509, |
| "translation_dan_ita::chr-f": 6510, |
| "translation_dan_nob::bleu": 6511, |
| "translation_dan_nob::chr-f": 6512, |
| "translation_dan_pol::bleu": 6513, |
| "translation_dan_pol::chr-f": 6514, |
| "translation_dan_por::bleu": 6515, |
| "translation_dan_por::chr-f": 6516, |
| "translation_dan_ron::bleu": 6517, |
| "translation_dan_ron::chr-f": 6518, |
| "translation_dan_rus::bleu": 6519, |
| "translation_dan_spa::bleu": 6520, |
| "translation_dan_spa::chr-f": 6521, |
| "translation_dan_swe::bleu": 6522, |
| "translation_dan_swe::chr-f": 6523, |
| "translation_dan_tur::bleu": 6524, |
| "translation_dan_tur::chr-f": 6525, |
| "translation_dan_ukr::bleu": 6526, |
| "translation_de_en::bleu": 6527, |
| "translation_deu_afr::bleu": 6528, |
| "translation_deu_afr::chr-f": 6529, |
| "translation_deu_ara::bleu": 6530, |
| "translation_deu_ara::chr-f": 6531, |
| "translation_deu_ast::bleu": 6532, |
| "translation_deu_ast::chr-f": 6533, |
| "translation_deu_bel::bleu": 6534, |
| "translation_deu_bel::chr-f": 6535, |
| "translation_deu_ben::bleu": 6536, |
| "translation_deu_ben::chr-f": 6537, |
| "translation_deu_bul::bleu": 6538, |
| "translation_deu_bul::chr-f": 6539, |
| "translation_deu_cat::bleu": 6540, |
| "translation_deu_cat::chr-f": 6541, |
| "translation_deu_ces::bleu": 6542, |
| "translation_deu_ces::chr-f": 6543, |
| "translation_deu_cym::bleu": 6544, |
| "translation_deu_cym::chr-f": 6545, |
| "translation_deu_dan::bleu": 6546, |
| "translation_deu_dan::chr-f": 6547, |
| "translation_deu_deu::bleu": 6548, |
| "translation_deu_deu::chr-f": 6549, |
| "translation_deu_ell::bleu": 6550, |
| "translation_deu_ell::chr-f": 6551, |
| "translation_deu_eng::bleu": 6552, |
| "translation_deu_eng::chr-f": 6553, |
| "translation_deu_eng::chrf": 6554, |
| "translation_deu_eng::comet": 6555, |
| "translation_deu_est::bleu": 6556, |
| "translation_deu_est::chr-f": 6557, |
| "translation_deu_fao::bleu": 6558, |
| "translation_deu_fao::chr-f": 6559, |
| "translation_deu_fas::bleu": 6560, |
| "translation_deu_fas::chr-f": 6561, |
| "translation_deu_fin::bleu": 6562, |
| "translation_deu_fin::chr-f": 6563, |
| "translation_deu_fra::bleu": 6564, |
| "translation_deu_fra::chr-f": 6565, |
| "translation_deu_fur::bleu": 6566, |
| "translation_deu_fur::chr-f": 6567, |
| "translation_deu_gle::bleu": 6568, |
| "translation_deu_gle::chr-f": 6569, |
| "translation_deu_glg::bleu": 6570, |
| "translation_deu_glg::chr-f": 6571, |
| "translation_deu_guj::bleu": 6572, |
| "translation_deu_guj::chr-f": 6573, |
| "translation_deu_hat::bleu": 6574, |
| "translation_deu_hat::chr-f": 6575, |
| "translation_deu_hau::bleu": 6576, |
| "translation_deu_hau::chr-f": 6577, |
| "translation_deu_heb::bleu": 6578, |
| "translation_deu_heb::chr-f": 6579, |
| "translation_deu_hin::bleu": 6580, |
| "translation_deu_hin::chr-f": 6581, |
| "translation_deu_hne::bleu": 6582, |
| "translation_deu_hne::chr-f": 6583, |
| "translation_deu_hrv::bleu": 6584, |
| "translation_deu_hrv::chr-f": 6585, |
| "translation_deu_hun::bleu": 6586, |
| "translation_deu_hun::chr-f": 6587, |
| "translation_deu_isl::bleu": 6588, |
| "translation_deu_isl::chr-f": 6589, |
| "translation_deu_ita::bleu": 6590, |
| "translation_deu_ita::chr-f": 6591, |
| "translation_deu_lad::bleu": 6592, |
| "translation_deu_lad::chr-f": 6593, |
| "translation_deu_lav::bleu": 6594, |
| "translation_deu_lav::chr-f": 6595, |
| "translation_deu_lij::bleu": 6596, |
| "translation_deu_lij::chr-f": 6597, |
| "translation_deu_lit::bleu": 6598, |
| "translation_deu_lit::chr-f": 6599, |
| "translation_deu_ltz::bleu": 6600, |
| "translation_deu_ltz::chr-f": 6601, |
| "translation_deu_mag::bleu": 6602, |
| "translation_deu_mag::chr-f": 6603, |
| "translation_deu_mkd::bleu": 6604, |
| "translation_deu_mkd::chr-f": 6605, |
| "translation_deu_mlt::bleu": 6606, |
| "translation_deu_mlt::chr-f": 6607, |
| "translation_deu_nds::bleu": 6608, |
| "translation_deu_nds::chr-f": 6609, |
| "translation_deu_nld::bleu": 6610, |
| "translation_deu_nld::chr-f": 6611, |
| "translation_deu_nno::bleu": 6612, |
| "translation_deu_nno::chr-f": 6613, |
| "translation_deu_nob::bleu": 6614, |
| "translation_deu_nob::chr-f": 6615, |
| "translation_deu_nor::bleu": 6616, |
| "translation_deu_nor::chr-f": 6617, |
| "translation_deu_oci::bleu": 6618, |
| "translation_deu_oci::chr-f": 6619, |
| "translation_deu_pan::bleu": 6620, |
| "translation_deu_pan::chr-f": 6621, |
| "translation_deu_pap::bleu": 6622, |
| "translation_deu_pap::chr-f": 6623, |
| "translation_deu_pes::bleu": 6624, |
| "translation_deu_pes::chr-f": 6625, |
| "translation_deu_pol::bleu": 6626, |
| "translation_deu_pol::chr-f": 6627, |
| "translation_deu_por::bleu": 6628, |
| "translation_deu_por::chr-f": 6629, |
| "translation_deu_prs::bleu": 6630, |
| "translation_deu_prs::chr-f": 6631, |
| "translation_deu_ron::bleu": 6632, |
| "translation_deu_ron::chr-f": 6633, |
| "translation_deu_rus::bleu": 6634, |
| "translation_deu_rus::chr-f": 6635, |
| "translation_deu_slk::bleu": 6636, |
| "translation_deu_slk::chr-f": 6637, |
| "translation_deu_slv::bleu": 6638, |
| "translation_deu_slv::chr-f": 6639, |
| "translation_deu_spa::bleu": 6640, |
| "translation_deu_spa::chr-f": 6641, |
| "translation_deu_sqi::bleu": 6642, |
| "translation_deu_sqi::chr-f": 6643, |
| "translation_deu_srd::bleu": 6644, |
| "translation_deu_srd::chr-f": 6645, |
| "translation_deu_srp_cyrl::bleu": 6646, |
| "translation_deu_srp_cyrl::chr-f": 6647, |
| "translation_deu_swa::bleu": 6648, |
| "translation_deu_swa::chr-f": 6649, |
| "translation_deu_swe::bleu": 6650, |
| "translation_deu_swe::chr-f": 6651, |
| "translation_deu_tgk::bleu": 6652, |
| "translation_deu_tgk::chr-f": 6653, |
| "translation_deu_tpi::bleu": 6654, |
| "translation_deu_tpi::chr-f": 6655, |
| "translation_deu_tsn::bleu": 6656, |
| "translation_deu_tsn::chr-f": 6657, |
| "translation_deu_ukr::bleu": 6658, |
| "translation_deu_ukr::chr-f": 6659, |
| "translation_deu_urd::bleu": 6660, |
| "translation_deu_urd::chr-f": 6661, |
| "translation_deu_vie::bleu": 6662, |
| "translation_deu_vie::chr-f": 6663, |
| "translation_drt_deu::bleu": 6664, |
| "translation_drt_deu::chr-f": 6665, |
| "translation_drt_eng::bleu": 6666, |
| "translation_drt_eng::chr-f": 6667, |
| "translation_drt_fry::bleu": 6668, |
| "translation_drt_fry::chr-f": 6669, |
| "translation_drt_nld::bleu": 6670, |
| "translation_drt_nld::chr-f": 6671, |
| "translation_dsb_deu::bleu": 6672, |
| "translation_dsb_deu::chr-f": 6673, |
| "translation_ell_deu::bleu": 6674, |
| "translation_ell_deu::chr-f": 6675, |
| "translation_ell_eng::bleu": 6676, |
| "translation_ell_eng::chr-f": 6677, |
| "translation_ell_eng::chrf": 6678, |
| "translation_ell_eng::comet": 6679, |
| "translation_ell_fra::bleu": 6680, |
| "translation_ell_fra::chr-f": 6681, |
| "translation_ell_por::bleu": 6682, |
| "translation_ell_por::chr-f": 6683, |
| "translation_ell_spa::bleu": 6684, |
| "translation_ell_spa::chr-f": 6685, |
| "translation_en_me::bleu": 6686, |
| "translation_en_ru::bertscore_f1": 6687, |
| "translation_en_ru::bertscore_precision": 6688, |
| "translation_en_ru::bertscore_recall": 6689, |
| "translation_en_ru::bleu": 6690, |
| "translation_en_ru::chrf": 6691, |
| "translation_en_ru::meteor": 6692, |
| "translation_en_ru::rouge-1": 6693, |
| "translation_en_ru::rouge-2": 6694, |
| "translation_en_ru::rouge-lsum": 6695, |
| "translation_en_ru::rouge_l": 6696, |
| "translation_en_ru::ter": 6697, |
| "translation_en_to_es::bleu": 6698, |
| "translation_eng_afr::bleu": 6699, |
| "translation_eng_afr::chr-f": 6700, |
| "translation_eng_ara::bleu": 6701, |
| "translation_eng_ara::chr-f": 6702, |
| "translation_eng_arz::bleu": 6703, |
| "translation_eng_arz::chr-f": 6704, |
| "translation_eng_ast::bleu": 6705, |
| "translation_eng_ast::chr-f": 6706, |
| "translation_eng_bel::bleu": 6707, |
| "translation_eng_bel::chr-f": 6708, |
| "translation_eng_ben::bleu": 6709, |
| "translation_eng_ben::chr-f": 6710, |
| "translation_eng_ben::chrf": 6711, |
| "translation_eng_ben::comet": 6712, |
| "translation_eng_bho::bleu": 6713, |
| "translation_eng_bho::chr-f": 6714, |
| "translation_eng_bos_latn::bleu": 6715, |
| "translation_eng_bos_latn::chr-f": 6716, |
| "translation_eng_bul::bleu": 6717, |
| "translation_eng_bul::chr-f": 6718, |
| "translation_eng_cat::bleu": 6719, |
| "translation_eng_cat::chr-f": 6720, |
| "translation_eng_ces::bleu": 6721, |
| "translation_eng_ces::chr-f": 6722, |
| "translation_eng_ces::chrf": 6723, |
| "translation_eng_ces::comet": 6724, |
| "translation_eng_cym::bleu": 6725, |
| "translation_eng_cym::chr-f": 6726, |
| "translation_eng_dan::bleu": 6727, |
| "translation_eng_dan::chr-f": 6728, |
| "translation_eng_dan::chrf": 6729, |
| "translation_eng_dan::comet": 6730, |
| "translation_eng_deu::bleu": 6731, |
| "translation_eng_deu::chr-f": 6732, |
| "translation_eng_deu::chrf": 6733, |
| "translation_eng_deu::comet": 6734, |
| "translation_eng_ell::bleu": 6735, |
| "translation_eng_ell::chr-f": 6736, |
| "translation_eng_ell::chrf": 6737, |
| "translation_eng_ell::comet": 6738, |
| "translation_eng_eng::bleu": 6739, |
| "translation_eng_eng::chr-f": 6740, |
| "translation_eng_est::bleu": 6741, |
| "translation_eng_est::chr-f": 6742, |
| "translation_eng_fao::bleu": 6743, |
| "translation_eng_fao::chr-f": 6744, |
| "translation_eng_fas::bleu": 6745, |
| "translation_eng_fas::chr-f": 6746, |
| "translation_eng_fin::bleu": 6747, |
| "translation_eng_fin::chr-f": 6748, |
| "translation_eng_fra::bleu": 6749, |
| "translation_eng_fra::chr-f": 6750, |
| "translation_eng_fry::bleu": 6751, |
| "translation_eng_fry::chr-f": 6752, |
| "translation_eng_fur::bleu": 6753, |
| "translation_eng_fur::chr-f": 6754, |
| "translation_eng_gla::bleu": 6755, |
| "translation_eng_gla::chr-f": 6756, |
| "translation_eng_gle::bleu": 6757, |
| "translation_eng_gle::chr-f": 6758, |
| "translation_eng_glg::bleu": 6759, |
| "translation_eng_glg::chr-f": 6760, |
| "translation_eng_guj::bleu": 6761, |
| "translation_eng_guj::chr-f": 6762, |
| "translation_eng_hat::bleu": 6763, |
| "translation_eng_hat::chr-f": 6764, |
| "translation_eng_hau::bleu": 6765, |
| "translation_eng_hau::chr-f": 6766, |
| "translation_eng_hbs::bleu": 6767, |
| "translation_eng_hbs::chr-f": 6768, |
| "translation_eng_heb::bleu": 6769, |
| "translation_eng_heb::chr-f": 6770, |
| "translation_eng_heb::chrf": 6771, |
| "translation_eng_heb::comet": 6772, |
| "translation_eng_hin::bleu": 6773, |
| "translation_eng_hin::chr-f": 6774, |
| "translation_eng_hin::chrf": 6775, |
| "translation_eng_hin::comet": 6776, |
| "translation_eng_hne::bleu": 6777, |
| "translation_eng_hne::chr-f": 6778, |
| "translation_eng_hrv::bleu": 6779, |
| "translation_eng_hrv::chr-f": 6780, |
| "translation_eng_hun::bleu": 6781, |
| "translation_eng_hun::chr-f": 6782, |
| "translation_eng_hun::chrf": 6783, |
| "translation_eng_hun::comet": 6784, |
| "translation_eng_ind::bleu": 6785, |
| "translation_eng_ind::chrf": 6786, |
| "translation_eng_ind::comet": 6787, |
| "translation_eng_isl::bleu": 6788, |
| "translation_eng_isl::chr-f": 6789, |
| "translation_eng_isl::chrf": 6790, |
| "translation_eng_isl::comet": 6791, |
| "translation_eng_ita::bleu": 6792, |
| "translation_eng_ita::chr-f": 6793, |
| "translation_eng_ita::chrf": 6794, |
| "translation_eng_ita::comet": 6795, |
| "translation_eng_jpg::bleu": 6796, |
| "translation_eng_jpn::chrf": 6797, |
| "translation_eng_jpn::comet": 6798, |
| "translation_eng_kea::bleu": 6799, |
| "translation_eng_kea::chr-f": 6800, |
| "translation_eng_kin::bleu": 6801, |
| "translation_eng_kin::chr-f": 6802, |
| "translation_eng_kor::bleu": 6803, |
| "translation_eng_kor::chr-f": 6804, |
| "translation_eng_kor::chrf": 6805, |
| "translation_eng_kor::comet": 6806, |
| "translation_eng_lad::bleu": 6807, |
| "translation_eng_lad::chr-f": 6808, |
| "translation_eng_lad_latn::bleu": 6809, |
| "translation_eng_lad_latn::chr-f": 6810, |
| "translation_eng_lat::bleu": 6811, |
| "translation_eng_lat::chr-f": 6812, |
| "translation_eng_lav::bleu": 6813, |
| "translation_eng_lav::chr-f": 6814, |
| "translation_eng_lav::chrf": 6815, |
| "translation_eng_lav::comet": 6816, |
| "translation_eng_lij::bleu": 6817, |
| "translation_eng_lij::chr-f": 6818, |
| "translation_eng_lin::bleu": 6819, |
| "translation_eng_lin::chr-f": 6820, |
| "translation_eng_lit::bleu": 6821, |
| "translation_eng_lit::chr-f": 6822, |
| "translation_eng_ltz::bleu": 6823, |
| "translation_eng_ltz::chr-f": 6824, |
| "translation_eng_lug::bleu": 6825, |
| "translation_eng_lug::chr-f": 6826, |
| "translation_eng_mag::bleu": 6827, |
| "translation_eng_mag::chr-f": 6828, |
| "translation_eng_mai::bleu": 6829, |
| "translation_eng_mai::chr-f": 6830, |
| "translation_eng_mar::bleu": 6831, |
| "translation_eng_mar::chr-f": 6832, |
| "translation_eng_mkd::bleu": 6833, |
| "translation_eng_mkd::chr-f": 6834, |
| "translation_eng_mld::bleu": 6835, |
| "translation_eng_mlt::bleu": 6836, |
| "translation_eng_mlt::chr-f": 6837, |
| "translation_eng_nds::bleu": 6838, |
| "translation_eng_nds::chr-f": 6839, |
| "translation_eng_nep::bleu": 6840, |
| "translation_eng_nep::chr-f": 6841, |
| "translation_eng_nld::bleu": 6842, |
| "translation_eng_nld::chr-f": 6843, |
| "translation_eng_nno::bleu": 6844, |
| "translation_eng_nno::chr-f": 6845, |
| "translation_eng_nob::bleu": 6846, |
| "translation_eng_nob::chr-f": 6847, |
| "translation_eng_nor::bleu": 6848, |
| "translation_eng_nor::chr-f": 6849, |
| "translation_eng_nso::bleu": 6850, |
| "translation_eng_nso::chr-f": 6851, |
| "translation_eng_nya::bleu": 6852, |
| "translation_eng_nya::chr-f": 6853, |
| "translation_eng_oci::bleu": 6854, |
| "translation_eng_oci::chr-f": 6855, |
| "translation_eng_pan::bleu": 6856, |
| "translation_eng_pan::chr-f": 6857, |
| "translation_eng_pap::bleu": 6858, |
| "translation_eng_pap::chr-f": 6859, |
| "translation_eng_pes::bleu": 6860, |
| "translation_eng_pes::chr-f": 6861, |
| "translation_eng_pes::chrf": 6862, |
| "translation_eng_pes::comet": 6863, |
| "translation_eng_pol::bleu": 6864, |
| "translation_eng_pol::chr-f": 6865, |
| "translation_eng_por::bleu": 6866, |
| "translation_eng_por::chr-f": 6867, |
| "translation_eng_por::chrf": 6868, |
| "translation_eng_por::comet": 6869, |
| "translation_eng_prs::bleu": 6870, |
| "translation_eng_prs::chr-f": 6871, |
| "translation_eng_pus::bleu": 6872, |
| "translation_eng_pus::chr-f": 6873, |
| "translation_eng_ron::bleu": 6874, |
| "translation_eng_ron::chr-f": 6875, |
| "translation_eng_rus::bleu": 6876, |
| "translation_eng_rus::chr-f": 6877, |
| "translation_eng_rus::chrf": 6878, |
| "translation_eng_rus::comet": 6879, |
| "translation_eng_sco::bleu": 6880, |
| "translation_eng_sco::chr-f": 6881, |
| "translation_eng_sin::bleu": 6882, |
| "translation_eng_sin::chr-f": 6883, |
| "translation_eng_slk::bleu": 6884, |
| "translation_eng_slk::chr-f": 6885, |
| "translation_eng_slv::bleu": 6886, |
| "translation_eng_slv::chr-f": 6887, |
| "translation_eng_sna::bleu": 6888, |
| "translation_eng_sna::chr-f": 6889, |
| "translation_eng_som::bleu": 6890, |
| "translation_eng_som::chr-f": 6891, |
| "translation_eng_sot::bleu": 6892, |
| "translation_eng_sot::chr-f": 6893, |
| "translation_eng_spa::bleu": 6894, |
| "translation_eng_spa::chr-f": 6895, |
| "translation_eng_spa::chrf": 6896, |
| "translation_eng_spa::comet": 6897, |
| "translation_eng_sqi::bleu": 6898, |
| "translation_eng_sqi::chr-f": 6899, |
| "translation_eng_srd::bleu": 6900, |
| "translation_eng_srd::chr-f": 6901, |
| "translation_eng_srn::bleu": 6902, |
| "translation_eng_srn::chr-f": 6903, |
| "translation_eng_srp_cyrl::bleu": 6904, |
| "translation_eng_srp_cyrl::chr-f": 6905, |
| "translation_eng_srp_latn::bleu": 6906, |
| "translation_eng_srp_latn::chr-f": 6907, |
| "translation_eng_swa::bleu": 6908, |
| "translation_eng_swa::chr-f": 6909, |
| "translation_eng_swe::bleu": 6910, |
| "translation_eng_swe::chr-f": 6911, |
| "translation_eng_swe::chrf": 6912, |
| "translation_eng_swe::comet": 6913, |
| "translation_eng_tgk::bleu": 6914, |
| "translation_eng_tgk::chr-f": 6915, |
| "translation_eng_tgk_cyrl::bleu": 6916, |
| "translation_eng_tgk_cyrl::chr-f": 6917, |
| "translation_eng_tha::bleu": 6918, |
| "translation_eng_tha::chrf": 6919, |
| "translation_eng_tha::comet": 6920, |
| "translation_eng_tpi::bleu": 6921, |
| "translation_eng_tpi::chr-f": 6922, |
| "translation_eng_tsn::bleu": 6923, |
| "translation_eng_tsn::chr-f": 6924, |
| "translation_eng_tso::bleu": 6925, |
| "translation_eng_tso::chr-f": 6926, |
| "translation_eng_tur::bleu": 6927, |
| "translation_eng_tur::chrf": 6928, |
| "translation_eng_tur::comet": 6929, |
| "translation_eng_ukr::bleu": 6930, |
| "translation_eng_ukr::chr-f": 6931, |
| "translation_eng_urd::bleu": 6932, |
| "translation_eng_urd::chr-f": 6933, |
| "translation_eng_urd::chrf": 6934, |
| "translation_eng_urd::comet": 6935, |
| "translation_eng_vie::bleu": 6936, |
| "translation_eng_vie::chr-f": 6937, |
| "translation_eng_vie::chrf": 6938, |
| "translation_eng_vie::comet": 6939, |
| "translation_eng_xho::bleu": 6940, |
| "translation_eng_xho::chr-f": 6941, |
| "translation_eng_zho::chrf": 6942, |
| "translation_eng_zho::comet": 6943, |
| "translation_eng_zul::bleu": 6944, |
| "translation_eng_zul::chr-f": 6945, |
| "translation_english_to_swahili::bleu": 6946, |
| "translation_enm_deu::bleu": 6947, |
| "translation_enm_deu::chr-f": 6948, |
| "translation_enm_eng::bleu": 6949, |
| "translation_enm_eng::chr-f": 6950, |
| "translation_enm_fry::bleu": 6951, |
| "translation_enm_fry::chr-f": 6952, |
| "translation_enm_ltz::bleu": 6953, |
| "translation_enm_ltz::chr-f": 6954, |
| "translation_enm_nld::bleu": 6955, |
| "translation_enm_nld::chr-f": 6956, |
| "translation_epo_deu::bleu": 6957, |
| "translation_epo_deu::chr-f": 6958, |
| "translation_epo_eng::bleu": 6959, |
| "translation_epo_eng::chr-f": 6960, |
| "translation_epo_fra::bleu": 6961, |
| "translation_epo_fra::chr-f": 6962, |
| "translation_epo_por::bleu": 6963, |
| "translation_epo_por::chr-f": 6964, |
| "translation_epo_spa::bleu": 6965, |
| "translation_epo_spa::chr-f": 6966, |
| "translation_est_deu::bleu": 6967, |
| "translation_est_deu::chr-f": 6968, |
| "translation_est_eng::bleu": 6969, |
| "translation_est_eng::chr-f": 6970, |
| "translation_est_fra::bleu": 6971, |
| "translation_est_fra::chr-f": 6972, |
| "translation_est_por::bleu": 6973, |
| "translation_est_por::chr-f": 6974, |
| "translation_est_spa::bleu": 6975, |
| "translation_est_spa::chr-f": 6976, |
| "translation_eus_deu::bleu": 6977, |
| "translation_eus_deu::chr-f": 6978, |
| "translation_eus_eng::bleu": 6979, |
| "translation_eus_eng::chr-f": 6980, |
| "translation_eus_fra::bleu": 6981, |
| "translation_eus_fra::chr-f": 6982, |
| "translation_eus_por::bleu": 6983, |
| "translation_eus_por::chr-f": 6984, |
| "translation_eus_spa::bleu": 6985, |
| "translation_eus_spa::chr-f": 6986, |
| "translation_fao_deu::bleu": 6987, |
| "translation_fao_deu::chr-f": 6988, |
| "translation_fao_eng::bleu": 6989, |
| "translation_fao_eng::chr-f": 6990, |
| "translation_fao_fra::bleu": 6991, |
| "translation_fao_fra::chr-f": 6992, |
| "translation_fao_por::bleu": 6993, |
| "translation_fao_por::chr-f": 6994, |
| "translation_fao_spa::bleu": 6995, |
| "translation_fao_spa::chr-f": 6996, |
| "translation_fas_dan::bleu": 6997, |
| "translation_fas_dan::chr-f": 6998, |
| "translation_fas_deu::bleu": 6999, |
| "translation_fas_deu::chr-f": 7000, |
| "translation_fas_eng::bleu": 7001, |
| "translation_fas_eng::chr-f": 7002, |
| "translation_fas_fra::bleu": 7003, |
| "translation_fas_fra::chr-f": 7004, |
| "translation_fas_ita::bleu": 7005, |
| "translation_fas_ita::chr-f": 7006, |
| "translation_fas_por::bleu": 7007, |
| "translation_fas_por::chr-f": 7008, |
| "translation_fas_ron::bleu": 7009, |
| "translation_fas_ron::chr-f": 7010, |
| "translation_fas_spa::bleu": 7011, |
| "translation_fas_spa::chr-f": 7012, |
| "translation_fij_eng::bleu": 7013, |
| "translation_fij_eng::chr-f": 7014, |
| "translation_fil_deu::bleu": 7015, |
| "translation_fil_deu::chr-f": 7016, |
| "translation_fil_eng::bleu": 7017, |
| "translation_fil_eng::chr-f": 7018, |
| "translation_fil_fra::bleu": 7019, |
| "translation_fil_fra::chr-f": 7020, |
| "translation_fil_por::bleu": 7021, |
| "translation_fil_por::chr-f": 7022, |
| "translation_fil_spa::bleu": 7023, |
| "translation_fil_spa::chr-f": 7024, |
| "translation_fin_bul::bleu": 7025, |
| "translation_fin_bul::chr-f": 7026, |
| "translation_fin_deu::bleu": 7027, |
| "translation_fin_deu::chr-f": 7028, |
| "translation_fin_eng::bleu": 7029, |
| "translation_fin_eng::chr-f": 7030, |
| "translation_fin_fra::bleu": 7031, |
| "translation_fin_fra::chr-f": 7032, |
| "translation_fin_hrv::bleu": 7033, |
| "translation_fin_hrv::chr-f": 7034, |
| "translation_fin_por::bleu": 7035, |
| "translation_fin_por::chr-f": 7036, |
| "translation_fin_rus::bleu": 7037, |
| "translation_fin_slv::bleu": 7038, |
| "translation_fin_slv::chr-f": 7039, |
| "translation_fin_spa::bleu": 7040, |
| "translation_fin_spa::chr-f": 7041, |
| "translation_fin_srp_cyrl::bleu": 7042, |
| "translation_fin_srp_cyrl::chr-f": 7043, |
| "translation_fin_ukr::bleu": 7044, |
| "translation_fra_afr::bleu": 7045, |
| "translation_fra_afr::chr-f": 7046, |
| "translation_fra_ara::bleu": 7047, |
| "translation_fra_ara::chr-f": 7048, |
| "translation_fra_ast::bleu": 7049, |
| "translation_fra_ast::chr-f": 7050, |
| "translation_fra_bel::bleu": 7051, |
| "translation_fra_bel::chr-f": 7052, |
| "translation_fra_ben::bleu": 7053, |
| "translation_fra_ben::chr-f": 7054, |
| "translation_fra_bul::bleu": 7055, |
| "translation_fra_bul::chr-f": 7056, |
| "translation_fra_cat::bleu": 7057, |
| "translation_fra_cat::chr-f": 7058, |
| "translation_fra_ces::bleu": 7059, |
| "translation_fra_ces::chr-f": 7060, |
| "translation_fra_cym::bleu": 7061, |
| "translation_fra_cym::chr-f": 7062, |
| "translation_fra_dan::bleu": 7063, |
| "translation_fra_dan::chr-f": 7064, |
| "translation_fra_deu::bleu": 7065, |
| "translation_fra_deu::chr-f": 7066, |
| "translation_fra_ell::bleu": 7067, |
| "translation_fra_ell::chr-f": 7068, |
| "translation_fra_eng::bleu": 7069, |
| "translation_fra_eng::chr-f": 7070, |
| "translation_fra_eng::chrf": 7071, |
| "translation_fra_eng::comet": 7072, |
| "translation_fra_est::bleu": 7073, |
| "translation_fra_est::chr-f": 7074, |
| "translation_fra_fao::bleu": 7075, |
| "translation_fra_fao::chr-f": 7076, |
| "translation_fra_fas::bleu": 7077, |
| "translation_fra_fas::chr-f": 7078, |
| "translation_fra_fin::bleu": 7079, |
| "translation_fra_fin::chr-f": 7080, |
| "translation_fra_fra::bleu": 7081, |
| "translation_fra_fra::chr-f": 7082, |
| "translation_fra_fur::bleu": 7083, |
| "translation_fra_fur::chr-f": 7084, |
| "translation_fra_gle::bleu": 7085, |
| "translation_fra_gle::chr-f": 7086, |
| "translation_fra_glg::bleu": 7087, |
| "translation_fra_glg::chr-f": 7088, |
| "translation_fra_guj::bleu": 7089, |
| "translation_fra_guj::chr-f": 7090, |
| "translation_fra_hat::bleu": 7091, |
| "translation_fra_hat::chr-f": 7092, |
| "translation_fra_hau::bleu": 7093, |
| "translation_fra_hau::chr-f": 7094, |
| "translation_fra_hbs::bleu": 7095, |
| "translation_fra_hbs::chr-f": 7096, |
| "translation_fra_heb::bleu": 7097, |
| "translation_fra_heb::chr-f": 7098, |
| "translation_fra_hin::bleu": 7099, |
| "translation_fra_hin::chr-f": 7100, |
| "translation_fra_hne::bleu": 7101, |
| "translation_fra_hne::chr-f": 7102, |
| "translation_fra_hrv::bleu": 7103, |
| "translation_fra_hrv::chr-f": 7104, |
| "translation_fra_hun::bleu": 7105, |
| "translation_fra_hun::chr-f": 7106, |
| "translation_fra_isl::bleu": 7107, |
| "translation_fra_isl::chr-f": 7108, |
| "translation_fra_ita::bleu": 7109, |
| "translation_fra_ita::chr-f": 7110, |
| "translation_fra_kea::bleu": 7111, |
| "translation_fra_kea::chr-f": 7112, |
| "translation_fra_lav::bleu": 7113, |
| "translation_fra_lav::chr-f": 7114, |
| "translation_fra_lij::bleu": 7115, |
| "translation_fra_lij::chr-f": 7116, |
| "translation_fra_lin::bleu": 7117, |
| "translation_fra_lin::chr-f": 7118, |
| "translation_fra_lit::bleu": 7119, |
| "translation_fra_lit::chr-f": 7120, |
| "translation_fra_ltz::bleu": 7121, |
| "translation_fra_ltz::chr-f": 7122, |
| "translation_fra_mag::bleu": 7123, |
| "translation_fra_mag::chr-f": 7124, |
| "translation_fra_mkd::bleu": 7125, |
| "translation_fra_mkd::chr-f": 7126, |
| "translation_fra_mlt::bleu": 7127, |
| "translation_fra_mlt::chr-f": 7128, |
| "translation_fra_nep::bleu": 7129, |
| "translation_fra_nep::chr-f": 7130, |
| "translation_fra_nld::bleu": 7131, |
| "translation_fra_nld::chr-f": 7132, |
| "translation_fra_nno::bleu": 7133, |
| "translation_fra_nno::chr-f": 7134, |
| "translation_fra_nob::bleu": 7135, |
| "translation_fra_nob::chr-f": 7136, |
| "translation_fra_nor::bleu": 7137, |
| "translation_fra_nor::chr-f": 7138, |
| "translation_fra_oci::bleu": 7139, |
| "translation_fra_oci::chr-f": 7140, |
| "translation_fra_pan::bleu": 7141, |
| "translation_fra_pan::chr-f": 7142, |
| "translation_fra_pap::bleu": 7143, |
| "translation_fra_pap::chr-f": 7144, |
| "translation_fra_pes::bleu": 7145, |
| "translation_fra_pes::chr-f": 7146, |
| "translation_fra_pol::bleu": 7147, |
| "translation_fra_pol::chr-f": 7148, |
| "translation_fra_por::bleu": 7149, |
| "translation_fra_por::chr-f": 7150, |
| "translation_fra_prs::bleu": 7151, |
| "translation_fra_prs::chr-f": 7152, |
| "translation_fra_pus::bleu": 7153, |
| "translation_fra_pus::chr-f": 7154, |
| "translation_fra_ron::bleu": 7155, |
| "translation_fra_ron::chr-f": 7156, |
| "translation_fra_rus::bleu": 7157, |
| "translation_fra_rus::chr-f": 7158, |
| "translation_fra_slk::bleu": 7159, |
| "translation_fra_slk::chr-f": 7160, |
| "translation_fra_slv::bleu": 7161, |
| "translation_fra_slv::chr-f": 7162, |
| "translation_fra_spa::bleu": 7163, |
| "translation_fra_spa::chr-f": 7164, |
| "translation_fra_sqi::bleu": 7165, |
| "translation_fra_sqi::chr-f": 7166, |
| "translation_fra_srd::bleu": 7167, |
| "translation_fra_srd::chr-f": 7168, |
| "translation_fra_srp_cyrl::bleu": 7169, |
| "translation_fra_srp_cyrl::chr-f": 7170, |
| "translation_fra_swa::bleu": 7171, |
| "translation_fra_swa::chr-f": 7172, |
| "translation_fra_swe::bleu": 7173, |
| "translation_fra_swe::chr-f": 7174, |
| "translation_fra_tgk::bleu": 7175, |
| "translation_fra_tgk::chr-f": 7176, |
| "translation_fra_tpi::bleu": 7177, |
| "translation_fra_tpi::chr-f": 7178, |
| "translation_fra_tsn::bleu": 7179, |
| "translation_fra_tsn::chr-f": 7180, |
| "translation_fra_tur::bleu": 7181, |
| "translation_fra_tur::chr-f": 7182, |
| "translation_fra_ukr::bleu": 7183, |
| "translation_fra_ukr::chr-f": 7184, |
| "translation_fra_urd::bleu": 7185, |
| "translation_fra_urd::chr-f": 7186, |
| "translation_fra_vie::bleu": 7187, |
| "translation_fra_vie::chr-f": 7188, |
| "translation_fry_deu::bleu": 7189, |
| "translation_fry_deu::chr-f": 7190, |
| "translation_fry_eng::bleu": 7191, |
| "translation_fry_eng::chr-f": 7192, |
| "translation_fry_ltz::bleu": 7193, |
| "translation_fry_ltz::chr-f": 7194, |
| "translation_fry_nld::bleu": 7195, |
| "translation_fry_nld::chr-f": 7196, |
| "translation_fur_deu::bleu": 7197, |
| "translation_fur_deu::chr-f": 7198, |
| "translation_fur_eng::bleu": 7199, |
| "translation_fur_eng::chr-f": 7200, |
| "translation_fur_fra::bleu": 7201, |
| "translation_fur_fra::chr-f": 7202, |
| "translation_fur_por::bleu": 7203, |
| "translation_fur_por::chr-f": 7204, |
| "translation_fur_spa::bleu": 7205, |
| "translation_fur_spa::chr-f": 7206, |
| "translation_gla_deu::bleu": 7207, |
| "translation_gla_deu::chr-f": 7208, |
| "translation_gla_eng::bleu": 7209, |
| "translation_gla_eng::chr-f": 7210, |
| "translation_gla_fra::bleu": 7211, |
| "translation_gla_fra::chr-f": 7212, |
| "translation_gla_por::bleu": 7213, |
| "translation_gla_por::chr-f": 7214, |
| "translation_gla_spa::bleu": 7215, |
| "translation_gla_spa::chr-f": 7216, |
| "translation_gle_deu::bleu": 7217, |
| "translation_gle_deu::chr-f": 7218, |
| "translation_gle_eng::bleu": 7219, |
| "translation_gle_eng::chr-f": 7220, |
| "translation_gle_fra::bleu": 7221, |
| "translation_gle_fra::chr-f": 7222, |
| "translation_gle_por::bleu": 7223, |
| "translation_gle_por::chr-f": 7224, |
| "translation_gle_spa::bleu": 7225, |
| "translation_gle_spa::chr-f": 7226, |
| "translation_glg_ara::bleu": 7227, |
| "translation_glg_ara::chr-f": 7228, |
| "translation_glg_ast::bleu": 7229, |
| "translation_glg_ast::chr-f": 7230, |
| "translation_glg_cat::bleu": 7231, |
| "translation_glg_cat::chr-f": 7232, |
| "translation_glg_deu::bleu": 7233, |
| "translation_glg_deu::chr-f": 7234, |
| "translation_glg_eng::bleu": 7235, |
| "translation_glg_eng::chr-f": 7236, |
| "translation_glg_fra::bleu": 7237, |
| "translation_glg_fra::chr-f": 7238, |
| "translation_glg_heb::bleu": 7239, |
| "translation_glg_heb::chr-f": 7240, |
| "translation_glg_ita::bleu": 7241, |
| "translation_glg_ita::chr-f": 7242, |
| "translation_glg_lav::bleu": 7243, |
| "translation_glg_lav::chr-f": 7244, |
| "translation_glg_lit::bleu": 7245, |
| "translation_glg_lit::chr-f": 7246, |
| "translation_glg_oci::bleu": 7247, |
| "translation_glg_oci::chr-f": 7248, |
| "translation_glg_por::bleu": 7249, |
| "translation_glg_por::chr-f": 7250, |
| "translation_glg_ron::bleu": 7251, |
| "translation_glg_ron::chr-f": 7252, |
| "translation_glg_spa::bleu": 7253, |
| "translation_glg_spa::chr-f": 7254, |
| "translation_glg_tur::bleu": 7255, |
| "translation_glg_tur::chr-f": 7256, |
| "translation_gos_afr::bleu": 7257, |
| "translation_gos_afr::chr-f": 7258, |
| "translation_gos_deu::bleu": 7259, |
| "translation_gos_deu::chr-f": 7260, |
| "translation_gos_eng::bleu": 7261, |
| "translation_gos_eng::chr-f": 7262, |
| "translation_gos_fry::bleu": 7263, |
| "translation_gos_fry::chr-f": 7264, |
| "translation_gos_nld::bleu": 7265, |
| "translation_gos_nld::chr-f": 7266, |
| "translation_grn_eng::bleu": 7267, |
| "translation_grn_eng::chr-f": 7268, |
| "translation_grn_fra::bleu": 7269, |
| "translation_grn_fra::chr-f": 7270, |
| "translation_grn_por::bleu": 7271, |
| "translation_grn_por::chr-f": 7272, |
| "translation_gsw_deu::bleu": 7273, |
| "translation_gsw_deu::chr-f": 7274, |
| "translation_gsw_eng::bleu": 7275, |
| "translation_gsw_eng::chr-f": 7276, |
| "translation_gsw_nld::bleu": 7277, |
| "translation_gsw_nld::chr-f": 7278, |
| "translation_guj_deu::bleu": 7279, |
| "translation_guj_deu::chr-f": 7280, |
| "translation_guj_eng::bleu": 7281, |
| "translation_guj_eng::chr-f": 7282, |
| "translation_guj_fra::bleu": 7283, |
| "translation_guj_fra::chr-f": 7284, |
| "translation_guj_por::bleu": 7285, |
| "translation_guj_por::chr-f": 7286, |
| "translation_guj_spa::bleu": 7287, |
| "translation_guj_spa::chr-f": 7288, |
| "translation_hat_deu::bleu": 7289, |
| "translation_hat_deu::chr-f": 7290, |
| "translation_hat_eng::bleu": 7291, |
| "translation_hat_eng::chr-f": 7292, |
| "translation_hat_fra::bleu": 7293, |
| "translation_hat_fra::chr-f": 7294, |
| "translation_hat_por::bleu": 7295, |
| "translation_hat_por::chr-f": 7296, |
| "translation_hat_spa::bleu": 7297, |
| "translation_hat_spa::chr-f": 7298, |
| "translation_hau_eng::bleu": 7299, |
| "translation_hau_eng::chr-f": 7300, |
| "translation_hau_fra::bleu": 7301, |
| "translation_hau_fra::chr-f": 7302, |
| "translation_hau_por::bleu": 7303, |
| "translation_hau_por::chr-f": 7304, |
| "translation_hau_spa::bleu": 7305, |
| "translation_hau_spa::chr-f": 7306, |
| "translation_hbs_deu::bleu": 7307, |
| "translation_hbs_deu::chr-f": 7308, |
| "translation_hbs_eng::bleu": 7309, |
| "translation_hbs_eng::chr-f": 7310, |
| "translation_hbs_fra::bleu": 7311, |
| "translation_hbs_fra::chr-f": 7312, |
| "translation_hbs_ita::bleu": 7313, |
| "translation_hbs_ita::chr-f": 7314, |
| "translation_hbs_rus::bleu": 7315, |
| "translation_hbs_spa::bleu": 7316, |
| "translation_hbs_spa::chr-f": 7317, |
| "translation_hbs_ukr::bleu": 7318, |
| "translation_heb_cat::bleu": 7319, |
| "translation_heb_cat::chr-f": 7320, |
| "translation_heb_dan::bleu": 7321, |
| "translation_heb_dan::chr-f": 7322, |
| "translation_heb_deu::bleu": 7323, |
| "translation_heb_deu::chr-f": 7324, |
| "translation_heb_eng::bleu": 7325, |
| "translation_heb_eng::chr-f": 7326, |
| "translation_heb_eng::chrf": 7327, |
| "translation_heb_eng::comet": 7328, |
| "translation_heb_fra::bleu": 7329, |
| "translation_heb_fra::chr-f": 7330, |
| "translation_heb_glg::bleu": 7331, |
| "translation_heb_glg::chr-f": 7332, |
| "translation_heb_isl::bleu": 7333, |
| "translation_heb_isl::chr-f": 7334, |
| "translation_heb_ita::bleu": 7335, |
| "translation_heb_ita::chr-f": 7336, |
| "translation_heb_nob::bleu": 7337, |
| "translation_heb_nob::chr-f": 7338, |
| "translation_heb_por::bleu": 7339, |
| "translation_heb_por::chr-f": 7340, |
| "translation_heb_ron::bleu": 7341, |
| "translation_heb_ron::chr-f": 7342, |
| "translation_heb_spa::bleu": 7343, |
| "translation_heb_spa::chr-f": 7344, |
| "translation_heb_swe::bleu": 7345, |
| "translation_heb_swe::chr-f": 7346, |
| "translation_hin_deu::bleu": 7347, |
| "translation_hin_deu::chr-f": 7348, |
| "translation_hin_eng::bleu": 7349, |
| "translation_hin_eng::chr-f": 7350, |
| "translation_hin_eng::chrf": 7351, |
| "translation_hin_eng::comet": 7352, |
| "translation_hin_fra::bleu": 7353, |
| "translation_hin_fra::chr-f": 7354, |
| "translation_hin_por::bleu": 7355, |
| "translation_hin_por::chr-f": 7356, |
| "translation_hin_spa::bleu": 7357, |
| "translation_hin_spa::chr-f": 7358, |
| "translation_hne_deu::bleu": 7359, |
| "translation_hne_deu::chr-f": 7360, |
| "translation_hne_eng::bleu": 7361, |
| "translation_hne_eng::chr-f": 7362, |
| "translation_hne_fra::bleu": 7363, |
| "translation_hne_fra::chr-f": 7364, |
| "translation_hne_por::bleu": 7365, |
| "translation_hne_por::chr-f": 7366, |
| "translation_hne_spa::bleu": 7367, |
| "translation_hne_spa::chr-f": 7368, |
| "translation_hrv_deu::bleu": 7369, |
| "translation_hrv_deu::chr-f": 7370, |
| "translation_hrv_eng::bleu": 7371, |
| "translation_hrv_eng::chr-f": 7372, |
| "translation_hrv_fra::bleu": 7373, |
| "translation_hrv_fra::chr-f": 7374, |
| "translation_hrv_ita::bleu": 7375, |
| "translation_hrv_ita::chr-f": 7376, |
| "translation_hrv_por::bleu": 7377, |
| "translation_hrv_por::chr-f": 7378, |
| "translation_hrv_ron::bleu": 7379, |
| "translation_hrv_ron::chr-f": 7380, |
| "translation_hrv_rus::bleu": 7381, |
| "translation_hrv_spa::bleu": 7382, |
| "translation_hrv_spa::chr-f": 7383, |
| "translation_hrv_ukr::bleu": 7384, |
| "translation_hrx_deu::bleu": 7385, |
| "translation_hrx_deu::chr-f": 7386, |
| "translation_hrx_eng::bleu": 7387, |
| "translation_hrx_eng::chr-f": 7388, |
| "translation_hsb_deu::bleu": 7389, |
| "translation_hsb_deu::chr-f": 7390, |
| "translation_hun_deu::bleu": 7391, |
| "translation_hun_deu::chr-f": 7392, |
| "translation_hun_eng::bleu": 7393, |
| "translation_hun_eng::chr-f": 7394, |
| "translation_hun_eng::chrf": 7395, |
| "translation_hun_eng::comet": 7396, |
| "translation_hun_fra::bleu": 7397, |
| "translation_hun_fra::chr-f": 7398, |
| "translation_hun_por::bleu": 7399, |
| "translation_hun_por::chr-f": 7400, |
| "translation_hun_spa::bleu": 7401, |
| "translation_hun_spa::chr-f": 7402, |
| "translation_hun_ukr::bleu": 7403, |
| "translation_hye_deu::bleu": 7404, |
| "translation_hye_deu::chr-f": 7405, |
| "translation_hye_eng::bleu": 7406, |
| "translation_hye_eng::chr-f": 7407, |
| "translation_hye_fra::bleu": 7408, |
| "translation_hye_fra::chr-f": 7409, |
| "translation_hye_por::bleu": 7410, |
| "translation_hye_por::chr-f": 7411, |
| "translation_hye_spa::bleu": 7412, |
| "translation_hye_spa::chr-f": 7413, |
| "translation_ibo_eng::bleu": 7414, |
| "translation_ibo_eng::chr-f": 7415, |
| "translation_ibo_fra::bleu": 7416, |
| "translation_ibo_fra::chr-f": 7417, |
| "translation_ibo_por::bleu": 7418, |
| "translation_ibo_por::chr-f": 7419, |
| "translation_ibo_spa::bleu": 7420, |
| "translation_ibo_spa::chr-f": 7421, |
| "translation_ido_latn_eng::bleu": 7422, |
| "translation_ido_latn_eng::chr-f": 7423, |
| "translation_ilo_deu::bleu": 7424, |
| "translation_ilo_deu::chr-f": 7425, |
| "translation_ilo_eng::bleu": 7426, |
| "translation_ilo_eng::chr-f": 7427, |
| "translation_ilo_fra::bleu": 7428, |
| "translation_ilo_fra::chr-f": 7429, |
| "translation_ilo_por::bleu": 7430, |
| "translation_ilo_por::chr-f": 7431, |
| "translation_ilo_spa::bleu": 7432, |
| "translation_ilo_spa::chr-f": 7433, |
| "translation_ind_deu::bleu": 7434, |
| "translation_ind_deu::chr-f": 7435, |
| "translation_ind_eng::bleu": 7436, |
| "translation_ind_eng::chr-f": 7437, |
| "translation_ind_fra::bleu": 7438, |
| "translation_ind_fra::chr-f": 7439, |
| "translation_ind_por::bleu": 7440, |
| "translation_ind_por::chr-f": 7441, |
| "translation_ind_spa::bleu": 7442, |
| "translation_ind_spa::chr-f": 7443, |
| "translation_isl_cat::bleu": 7444, |
| "translation_isl_cat::chr-f": 7445, |
| "translation_isl_ces::bleu": 7446, |
| "translation_isl_ces::chr-f": 7447, |
| "translation_isl_dan::bleu": 7448, |
| "translation_isl_dan::chr-f": 7449, |
| "translation_isl_deu::bleu": 7450, |
| "translation_isl_deu::chr-f": 7451, |
| "translation_isl_eng::bleu": 7452, |
| "translation_isl_eng::chr-f": 7453, |
| "translation_isl_eng::chrf": 7454, |
| "translation_isl_eng::comet": 7455, |
| "translation_isl_fra::bleu": 7456, |
| "translation_isl_fra::chr-f": 7457, |
| "translation_isl_glg::bleu": 7458, |
| "translation_isl_glg::chr-f": 7459, |
| "translation_isl_heb::bleu": 7460, |
| "translation_isl_heb::chr-f": 7461, |
| "translation_isl_ita::bleu": 7462, |
| "translation_isl_ita::chr-f": 7463, |
| "translation_isl_nob::bleu": 7464, |
| "translation_isl_nob::chr-f": 7465, |
| "translation_isl_pol::bleu": 7466, |
| "translation_isl_pol::chr-f": 7467, |
| "translation_isl_por::bleu": 7468, |
| "translation_isl_por::chr-f": 7469, |
| "translation_isl_ron::bleu": 7470, |
| "translation_isl_ron::chr-f": 7471, |
| "translation_isl_spa::bleu": 7472, |
| "translation_isl_spa::chr-f": 7473, |
| "translation_isl_swe::bleu": 7474, |
| "translation_isl_swe::chr-f": 7475, |
| "translation_ita_ara::bleu": 7476, |
| "translation_ita_ara::chr-f": 7477, |
| "translation_ita_ast::bleu": 7478, |
| "translation_ita_ast::chr-f": 7479, |
| "translation_ita_bel::bleu": 7480, |
| "translation_ita_cat::bleu": 7481, |
| "translation_ita_cat::chr-f": 7482, |
| "translation_ita_deu::bleu": 7483, |
| "translation_ita_deu::chr-f": 7484, |
| "translation_ita_eng::bleu": 7485, |
| "translation_ita_eng::chr-f": 7486, |
| "translation_ita_eng::chrf": 7487, |
| "translation_ita_eng::comet": 7488, |
| "translation_ita_fra::bleu": 7489, |
| "translation_ita_fra::chr-f": 7490, |
| "translation_ita_glg::bleu": 7491, |
| "translation_ita_glg::chr-f": 7492, |
| "translation_ita_heb::bleu": 7493, |
| "translation_ita_heb::chr-f": 7494, |
| "translation_ita_lav::bleu": 7495, |
| "translation_ita_lav::chr-f": 7496, |
| "translation_ita_lit::bleu": 7497, |
| "translation_ita_lit::chr-f": 7498, |
| "translation_ita_oci::bleu": 7499, |
| "translation_ita_oci::chr-f": 7500, |
| "translation_ita_por::bleu": 7501, |
| "translation_ita_por::chr-f": 7502, |
| "translation_ita_ron::bleu": 7503, |
| "translation_ita_ron::chr-f": 7504, |
| "translation_ita_rus::bleu": 7505, |
| "translation_ita_spa::bleu": 7506, |
| "translation_ita_spa::chr-f": 7507, |
| "translation_ita_tur::bleu": 7508, |
| "translation_ita_tur::chr-f": 7509, |
| "translation_ita_ukr::bleu": 7510, |
| "translation_jap_eng::bleu": 7511, |
| "translation_jap_eng::chrf": 7512, |
| "translation_jap_eng::comet": 7513, |
| "translation_jav_deu::bleu": 7514, |
| "translation_jav_deu::chr-f": 7515, |
| "translation_jav_eng::bleu": 7516, |
| "translation_jav_eng::chr-f": 7517, |
| "translation_jav_fra::bleu": 7518, |
| "translation_jav_fra::chr-f": 7519, |
| "translation_jav_por::bleu": 7520, |
| "translation_jav_por::chr-f": 7521, |
| "translation_jav_spa::bleu": 7522, |
| "translation_jav_spa::chr-f": 7523, |
| "translation_jpn_eng::bleu": 7524, |
| "translation_jpn_eng::chr-f": 7525, |
| "translation_jpn_fra::bleu": 7526, |
| "translation_jpn_fra::chr-f": 7527, |
| "translation_jpn_por::bleu": 7528, |
| "translation_jpn_por::chr-f": 7529, |
| "translation_jpn_spa::bleu": 7530, |
| "translation_jpn_spa::chr-f": 7531, |
| "translation_kab_eng::bleu": 7532, |
| "translation_kab_eng::chr-f": 7533, |
| "translation_kab_spa::bleu": 7534, |
| "translation_kab_spa::chr-f": 7535, |
| "translation_kan_eng::bleu": 7536, |
| "translation_kan_eng::chr-f": 7537, |
| "translation_kat_eng::bleu": 7538, |
| "translation_kat_eng::chr-f": 7539, |
| "translation_kat_fra::bleu": 7540, |
| "translation_kat_fra::chr-f": 7541, |
| "translation_kat_por::bleu": 7542, |
| "translation_kat_por::chr-f": 7543, |
| "translation_kat_spa::bleu": 7544, |
| "translation_kat_spa::chr-f": 7545, |
| "translation_kaz_cyrl_eng::bleu": 7546, |
| "translation_kaz_cyrl_eng::chr-f": 7547, |
| "translation_kaz_deu::bleu": 7548, |
| "translation_kaz_deu::chr-f": 7549, |
| "translation_kaz_eng::bleu": 7550, |
| "translation_kaz_eng::chr-f": 7551, |
| "translation_kaz_fra::bleu": 7552, |
| "translation_kaz_fra::chr-f": 7553, |
| "translation_kaz_por::bleu": 7554, |
| "translation_kaz_por::chr-f": 7555, |
| "translation_kaz_spa::bleu": 7556, |
| "translation_kaz_spa::chr-f": 7557, |
| "translation_kea_deu::bleu": 7558, |
| "translation_kea_deu::chr-f": 7559, |
| "translation_kea_eng::bleu": 7560, |
| "translation_kea_eng::chr-f": 7561, |
| "translation_kea_fra::bleu": 7562, |
| "translation_kea_fra::chr-f": 7563, |
| "translation_kea_por::bleu": 7564, |
| "translation_kea_por::chr-f": 7565, |
| "translation_kea_spa::bleu": 7566, |
| "translation_kea_spa::chr-f": 7567, |
| "translation_kik_eng::bleu": 7568, |
| "translation_kik_eng::chr-f": 7569, |
| "translation_kik_fra::bleu": 7570, |
| "translation_kik_fra::chr-f": 7571, |
| "translation_kin_eng::bleu": 7572, |
| "translation_kin_eng::chr-f": 7573, |
| "translation_kin_fra::bleu": 7574, |
| "translation_kin_fra::chr-f": 7575, |
| "translation_kin_por::bleu": 7576, |
| "translation_kin_por::chr-f": 7577, |
| "translation_kin_spa::bleu": 7578, |
| "translation_kin_spa::chr-f": 7579, |
| "translation_kmr_eng::bleu": 7580, |
| "translation_kmr_eng::chr-f": 7581, |
| "translation_kmr_fra::bleu": 7582, |
| "translation_kmr_fra::chr-f": 7583, |
| "translation_kmr_por::bleu": 7584, |
| "translation_kmr_por::chr-f": 7585, |
| "translation_kmr_spa::bleu": 7586, |
| "translation_kmr_spa::chr-f": 7587, |
| "translation_kon_eng::bleu": 7588, |
| "translation_kon_eng::chr-f": 7589, |
| "translation_kon_fra::bleu": 7590, |
| "translation_kon_fra::chr-f": 7591, |
| "translation_kon_por::bleu": 7592, |
| "translation_kon_por::chr-f": 7593, |
| "translation_kor_eng::bleu": 7594, |
| "translation_kor_eng::chr-f": 7595, |
| "translation_kor_eng::chrf": 7596, |
| "translation_kor_eng::comet": 7597, |
| "translation_kur_latn_deu::bleu": 7598, |
| "translation_kur_latn_deu::chr-f": 7599, |
| "translation_kur_latn_eng::bleu": 7600, |
| "translation_kur_latn_eng::chr-f": 7601, |
| "translation_lad_eng::bleu": 7602, |
| "translation_lad_eng::chr-f": 7603, |
| "translation_lad_latn_eng::bleu": 7604, |
| "translation_lad_latn_eng::chr-f": 7605, |
| "translation_lad_latn_spa::bleu": 7606, |
| "translation_lad_latn_spa::chr-f": 7607, |
| "translation_lad_spa::bleu": 7608, |
| "translation_lad_spa::chr-f": 7609, |
| "translation_lat_deu::bleu": 7610, |
| "translation_lat_deu::chr-f": 7611, |
| "translation_lat_eng::bleu": 7612, |
| "translation_lat_eng::chr-f": 7613, |
| "translation_lat_spa::bleu": 7614, |
| "translation_lat_spa::chr-f": 7615, |
| "translation_lav_deu::bleu": 7616, |
| "translation_lav_deu::chr-f": 7617, |
| "translation_lav_eng::bleu": 7618, |
| "translation_lav_eng::chr-f": 7619, |
| "translation_lav_eng::chrf": 7620, |
| "translation_lav_eng::comet": 7621, |
| "translation_lav_fra::bleu": 7622, |
| "translation_lav_fra::chr-f": 7623, |
| "translation_lav_por::bleu": 7624, |
| "translation_lav_por::chr-f": 7625, |
| "translation_lav_rus::bleu": 7626, |
| "translation_lav_spa::bleu": 7627, |
| "translation_lav_spa::chr-f": 7628, |
| "translation_lfn_latn_deu::bleu": 7629, |
| "translation_lfn_latn_deu::chr-f": 7630, |
| "translation_lfn_latn_eng::bleu": 7631, |
| "translation_lfn_latn_eng::chr-f": 7632, |
| "translation_lfn_latn_fra::bleu": 7633, |
| "translation_lfn_latn_fra::chr-f": 7634, |
| "translation_lfn_latn_por::bleu": 7635, |
| "translation_lfn_latn_por::chr-f": 7636, |
| "translation_lij_deu::bleu": 7637, |
| "translation_lij_deu::chr-f": 7638, |
| "translation_lij_eng::bleu": 7639, |
| "translation_lij_eng::chr-f": 7640, |
| "translation_lij_fra::bleu": 7641, |
| "translation_lij_fra::chr-f": 7642, |
| "translation_lij_por::bleu": 7643, |
| "translation_lij_por::chr-f": 7644, |
| "translation_lij_spa::bleu": 7645, |
| "translation_lij_spa::chr-f": 7646, |
| "translation_lim_deu::bleu": 7647, |
| "translation_lim_deu::chr-f": 7648, |
| "translation_lim_eng::bleu": 7649, |
| "translation_lim_eng::chr-f": 7650, |
| "translation_lim_fra::bleu": 7651, |
| "translation_lim_fra::chr-f": 7652, |
| "translation_lim_nld::bleu": 7653, |
| "translation_lim_nld::chr-f": 7654, |
| "translation_lim_por::bleu": 7655, |
| "translation_lim_por::chr-f": 7656, |
| "translation_lim_spa::bleu": 7657, |
| "translation_lim_spa::chr-f": 7658, |
| "translation_lin_eng::bleu": 7659, |
| "translation_lin_eng::chr-f": 7660, |
| "translation_lin_fra::bleu": 7661, |
| "translation_lin_fra::chr-f": 7662, |
| "translation_lin_por::bleu": 7663, |
| "translation_lin_por::chr-f": 7664, |
| "translation_lin_spa::bleu": 7665, |
| "translation_lin_spa::chr-f": 7666, |
| "translation_lit_deu::bleu": 7667, |
| "translation_lit_deu::chr-f": 7668, |
| "translation_lit_eng::bleu": 7669, |
| "translation_lit_eng::chr-f": 7670, |
| "translation_lit_fra::bleu": 7671, |
| "translation_lit_fra::chr-f": 7672, |
| "translation_lit_por::bleu": 7673, |
| "translation_lit_por::chr-f": 7674, |
| "translation_lit_rus::bleu": 7675, |
| "translation_lit_spa::bleu": 7676, |
| "translation_lit_spa::chr-f": 7677, |
| "translation_lmo_deu::bleu": 7678, |
| "translation_lmo_deu::chr-f": 7679, |
| "translation_lmo_eng::bleu": 7680, |
| "translation_lmo_eng::chr-f": 7681, |
| "translation_lmo_fra::bleu": 7682, |
| "translation_lmo_fra::chr-f": 7683, |
| "translation_lmo_por::bleu": 7684, |
| "translation_lmo_por::chr-f": 7685, |
| "translation_lmo_spa::bleu": 7686, |
| "translation_lmo_spa::chr-f": 7687, |
| "translation_ltz_deu::bleu": 7688, |
| "translation_ltz_deu::chr-f": 7689, |
| "translation_ltz_eng::bleu": 7690, |
| "translation_ltz_eng::chr-f": 7691, |
| "translation_ltz_fra::bleu": 7692, |
| "translation_ltz_fra::chr-f": 7693, |
| "translation_ltz_fry::bleu": 7694, |
| "translation_ltz_fry::chr-f": 7695, |
| "translation_ltz_nld::bleu": 7696, |
| "translation_ltz_nld::chr-f": 7697, |
| "translation_ltz_por::bleu": 7698, |
| "translation_ltz_por::chr-f": 7699, |
| "translation_ltz_spa::bleu": 7700, |
| "translation_ltz_spa::chr-f": 7701, |
| "translation_lug_eng::bleu": 7702, |
| "translation_lug_eng::chr-f": 7703, |
| "translation_lug_fra::bleu": 7704, |
| "translation_lug_fra::chr-f": 7705, |
| "translation_lug_por::bleu": 7706, |
| "translation_lug_por::chr-f": 7707, |
| "translation_lug_spa::bleu": 7708, |
| "translation_lug_spa::chr-f": 7709, |
| "translation_mag_deu::bleu": 7710, |
| "translation_mag_deu::chr-f": 7711, |
| "translation_mag_eng::bleu": 7712, |
| "translation_mag_eng::chr-f": 7713, |
| "translation_mag_fra::bleu": 7714, |
| "translation_mag_fra::chr-f": 7715, |
| "translation_mag_por::bleu": 7716, |
| "translation_mag_por::chr-f": 7717, |
| "translation_mag_spa::bleu": 7718, |
| "translation_mag_spa::chr-f": 7719, |
| "translation_mai_deu::bleu": 7720, |
| "translation_mai_deu::chr-f": 7721, |
| "translation_mai_eng::bleu": 7722, |
| "translation_mai_eng::chr-f": 7723, |
| "translation_mai_fra::bleu": 7724, |
| "translation_mai_fra::chr-f": 7725, |
| "translation_mai_por::bleu": 7726, |
| "translation_mai_por::chr-f": 7727, |
| "translation_mai_spa::bleu": 7728, |
| "translation_mai_spa::chr-f": 7729, |
| "translation_mal_eng::bleu": 7730, |
| "translation_mal_eng::chr-f": 7731, |
| "translation_mal_fra::bleu": 7732, |
| "translation_mal_fra::chr-f": 7733, |
| "translation_mar_deu::bleu": 7734, |
| "translation_mar_deu::chr-f": 7735, |
| "translation_mar_eng::bleu": 7736, |
| "translation_mar_eng::chr-f": 7737, |
| "translation_mar_fra::bleu": 7738, |
| "translation_mar_fra::chr-f": 7739, |
| "translation_mar_por::bleu": 7740, |
| "translation_mar_por::chr-f": 7741, |
| "translation_mar_spa::bleu": 7742, |
| "translation_mar_spa::chr-f": 7743, |
| "translation_mkd_deu::bleu": 7744, |
| "translation_mkd_deu::chr-f": 7745, |
| "translation_mkd_eng::bleu": 7746, |
| "translation_mkd_eng::chr-f": 7747, |
| "translation_mkd_fra::bleu": 7748, |
| "translation_mkd_fra::chr-f": 7749, |
| "translation_mkd_ita::bleu": 7750, |
| "translation_mkd_ita::chr-f": 7751, |
| "translation_mkd_por::bleu": 7752, |
| "translation_mkd_por::chr-f": 7753, |
| "translation_mkd_ron::bleu": 7754, |
| "translation_mkd_ron::chr-f": 7755, |
| "translation_mkd_rus::bleu": 7756, |
| "translation_mkd_spa::bleu": 7757, |
| "translation_mkd_spa::chr-f": 7758, |
| "translation_mkd_ukr::bleu": 7759, |
| "translation_mlg_eng::bleu": 7760, |
| "translation_mlg_eng::chr-f": 7761, |
| "translation_mlg_fra::bleu": 7762, |
| "translation_mlg_fra::chr-f": 7763, |
| "translation_mlg_por::bleu": 7764, |
| "translation_mlg_por::chr-f": 7765, |
| "translation_mlg_spa::bleu": 7766, |
| "translation_mlg_spa::chr-f": 7767, |
| "translation_mlt_deu::bleu": 7768, |
| "translation_mlt_deu::chr-f": 7769, |
| "translation_mlt_eng::bleu": 7770, |
| "translation_mlt_eng::chr-f": 7771, |
| "translation_mlt_fra::bleu": 7772, |
| "translation_mlt_fra::chr-f": 7773, |
| "translation_mlt_por::bleu": 7774, |
| "translation_mlt_por::chr-f": 7775, |
| "translation_mlt_spa::bleu": 7776, |
| "translation_mlt_spa::chr-f": 7777, |
| "translation_mri_eng::bleu": 7778, |
| "translation_mri_eng::chr-f": 7779, |
| "translation_mri_fra::bleu": 7780, |
| "translation_mri_fra::chr-f": 7781, |
| "translation_mri_spa::bleu": 7782, |
| "translation_mri_spa::chr-f": 7783, |
| "translation_msa_deu::bleu": 7784, |
| "translation_msa_deu::chr-f": 7785, |
| "translation_msa_eng::bleu": 7786, |
| "translation_msa_eng::chr-f": 7787, |
| "translation_msa_fra::bleu": 7788, |
| "translation_msa_fra::chr-f": 7789, |
| "translation_msa_por::bleu": 7790, |
| "translation_msa_por::chr-f": 7791, |
| "translation_multi_eng::bleu": 7792, |
| "translation_multi_eng::chr-f": 7793, |
| "translation_multi_fra::bleu": 7794, |
| "translation_multi_multi::bleu": 7795, |
| "translation_multi_multi::chr-f": 7796, |
| "translation_nde_eng::bleu": 7797, |
| "translation_nde_eng::chr-f": 7798, |
| "translation_nde_fra::bleu": 7799, |
| "translation_nde_fra::chr-f": 7800, |
| "translation_nde_por::bleu": 7801, |
| "translation_nde_por::chr-f": 7802, |
| "translation_nde_spa::bleu": 7803, |
| "translation_nde_spa::chr-f": 7804, |
| "translation_nds_deu::bleu": 7805, |
| "translation_nds_deu::chr-f": 7806, |
| "translation_nds_eng::bleu": 7807, |
| "translation_nds_eng::chr-f": 7808, |
| "translation_nds_fra::bleu": 7809, |
| "translation_nds_fra::chr-f": 7810, |
| "translation_nds_nld::bleu": 7811, |
| "translation_nds_nld::chr-f": 7812, |
| "translation_nds_por::bleu": 7813, |
| "translation_nds_por::chr-f": 7814, |
| "translation_nds_spa::bleu": 7815, |
| "translation_nds_spa::chr-f": 7816, |
| "translation_nep_deu::bleu": 7817, |
| "translation_nep_deu::chr-f": 7818, |
| "translation_nep_eng::bleu": 7819, |
| "translation_nep_eng::chr-f": 7820, |
| "translation_nep_fra::bleu": 7821, |
| "translation_nep_fra::chr-f": 7822, |
| "translation_nep_por::bleu": 7823, |
| "translation_nep_por::chr-f": 7824, |
| "translation_nep_spa::bleu": 7825, |
| "translation_nep_spa::chr-f": 7826, |
| "translation_nld_afr::bleu": 7827, |
| "translation_nld_afr::chr-f": 7828, |
| "translation_nld_deu::bleu": 7829, |
| "translation_nld_deu::chr-f": 7830, |
| "translation_nld_eng::bleu": 7831, |
| "translation_nld_eng::chr-f": 7832, |
| "translation_nld_fra::bleu": 7833, |
| "translation_nld_fra::chr-f": 7834, |
| "translation_nld_fry::bleu": 7835, |
| "translation_nld_fry::chr-f": 7836, |
| "translation_nld_nds::bleu": 7837, |
| "translation_nld_nds::chr-f": 7838, |
| "translation_nld_nld::bleu": 7839, |
| "translation_nld_nld::chr-f": 7840, |
| "translation_nld_por::bleu": 7841, |
| "translation_nld_por::chr-f": 7842, |
| "translation_nld_sco::bleu": 7843, |
| "translation_nld_sco::chr-f": 7844, |
| "translation_nld_spa::bleu": 7845, |
| "translation_nld_spa::chr-f": 7846, |
| "translation_nno_deu::bleu": 7847, |
| "translation_nno_deu::chr-f": 7848, |
| "translation_nno_eng::bleu": 7849, |
| "translation_nno_eng::chr-f": 7850, |
| "translation_nno_fra::bleu": 7851, |
| "translation_nno_fra::chr-f": 7852, |
| "translation_nno_nob::bleu": 7853, |
| "translation_nno_nob::chr-f": 7854, |
| "translation_nno_por::bleu": 7855, |
| "translation_nno_por::chr-f": 7856, |
| "translation_nno_spa::bleu": 7857, |
| "translation_nno_spa::chr-f": 7858, |
| "translation_nob_ara::bleu": 7859, |
| "translation_nob_ara::chr-f": 7860, |
| "translation_nob_cat::bleu": 7861, |
| "translation_nob_cat::chr-f": 7862, |
| "translation_nob_ces::bleu": 7863, |
| "translation_nob_ces::chr-f": 7864, |
| "translation_nob_dan::bleu": 7865, |
| "translation_nob_dan::chr-f": 7866, |
| "translation_nob_deu::bleu": 7867, |
| "translation_nob_deu::chr-f": 7868, |
| "translation_nob_eng::bleu": 7869, |
| "translation_nob_eng::chr-f": 7870, |
| "translation_nob_fra::bleu": 7871, |
| "translation_nob_fra::chr-f": 7872, |
| "translation_nob_glg::bleu": 7873, |
| "translation_nob_glg::chr-f": 7874, |
| "translation_nob_heb::bleu": 7875, |
| "translation_nob_heb::chr-f": 7876, |
| "translation_nob_isl::bleu": 7877, |
| "translation_nob_isl::chr-f": 7878, |
| "translation_nob_ita::bleu": 7879, |
| "translation_nob_ita::chr-f": 7880, |
| "translation_nob_nno::bleu": 7881, |
| "translation_nob_nno::chr-f": 7882, |
| "translation_nob_pol::bleu": 7883, |
| "translation_nob_pol::chr-f": 7884, |
| "translation_nob_por::bleu": 7885, |
| "translation_nob_por::chr-f": 7886, |
| "translation_nob_ron::bleu": 7887, |
| "translation_nob_ron::chr-f": 7888, |
| "translation_nob_rus::bleu": 7889, |
| "translation_nob_spa::bleu": 7890, |
| "translation_nob_spa::chr-f": 7891, |
| "translation_nob_swe::bleu": 7892, |
| "translation_nob_swe::chr-f": 7893, |
| "translation_nob_tur::bleu": 7894, |
| "translation_nob_tur::chr-f": 7895, |
| "translation_nob_ukr::bleu": 7896, |
| "translation_nor_deu::bleu": 7897, |
| "translation_nor_deu::chr-f": 7898, |
| "translation_nor_eng::bleu": 7899, |
| "translation_nor_eng::chr-f": 7900, |
| "translation_nor_fra::bleu": 7901, |
| "translation_nor_fra::chr-f": 7902, |
| "translation_nor_por::bleu": 7903, |
| "translation_nor_por::chr-f": 7904, |
| "translation_nor_spa::bleu": 7905, |
| "translation_nor_spa::chr-f": 7906, |
| "translation_npi_deu::bleu": 7907, |
| "translation_npi_deu::chr-f": 7908, |
| "translation_npi_eng::bleu": 7909, |
| "translation_npi_eng::chr-f": 7910, |
| "translation_npi_fra::bleu": 7911, |
| "translation_npi_fra::chr-f": 7912, |
| "translation_npi_por::bleu": 7913, |
| "translation_npi_por::chr-f": 7914, |
| "translation_npi_spa::bleu": 7915, |
| "translation_npi_spa::chr-f": 7916, |
| "translation_nso_deu::bleu": 7917, |
| "translation_nso_deu::chr-f": 7918, |
| "translation_nso_eng::bleu": 7919, |
| "translation_nso_eng::chr-f": 7920, |
| "translation_nso_fra::bleu": 7921, |
| "translation_nso_fra::chr-f": 7922, |
| "translation_nso_por::bleu": 7923, |
| "translation_nso_por::chr-f": 7924, |
| "translation_nso_spa::bleu": 7925, |
| "translation_nso_spa::chr-f": 7926, |
| "translation_nya_deu::bleu": 7927, |
| "translation_nya_deu::chr-f": 7928, |
| "translation_nya_eng::bleu": 7929, |
| "translation_nya_eng::chr-f": 7930, |
| "translation_nya_fra::bleu": 7931, |
| "translation_nya_fra::chr-f": 7932, |
| "translation_nya_por::bleu": 7933, |
| "translation_nya_por::chr-f": 7934, |
| "translation_nya_spa::bleu": 7935, |
| "translation_nya_spa::chr-f": 7936, |
| "translation_oci_ast::bleu": 7937, |
| "translation_oci_ast::chr-f": 7938, |
| "translation_oci_cat::bleu": 7939, |
| "translation_oci_cat::chr-f": 7940, |
| "translation_oci_deu::bleu": 7941, |
| "translation_oci_deu::chr-f": 7942, |
| "translation_oci_eng::bleu": 7943, |
| "translation_oci_eng::chr-f": 7944, |
| "translation_oci_fra::bleu": 7945, |
| "translation_oci_fra::chr-f": 7946, |
| "translation_oci_glg::bleu": 7947, |
| "translation_oci_glg::chr-f": 7948, |
| "translation_oci_ita::bleu": 7949, |
| "translation_oci_ita::chr-f": 7950, |
| "translation_oci_por::bleu": 7951, |
| "translation_oci_por::chr-f": 7952, |
| "translation_oci_ron::bleu": 7953, |
| "translation_oci_ron::chr-f": 7954, |
| "translation_oci_spa::bleu": 7955, |
| "translation_oci_spa::chr-f": 7956, |
| "translation_oci_tur::bleu": 7957, |
| "translation_oci_tur::chr-f": 7958, |
| "translation_ofs_bar::bleu": 7959, |
| "translation_ofs_bar::chr-f": 7960, |
| "translation_pag_fra::bleu": 7961, |
| "translation_pag_fra::chr-f": 7962, |
| "translation_pag_por::bleu": 7963, |
| "translation_pag_por::chr-f": 7964, |
| "translation_pag_spa::bleu": 7965, |
| "translation_pag_spa::chr-f": 7966, |
| "translation_pan_deu::bleu": 7967, |
| "translation_pan_deu::chr-f": 7968, |
| "translation_pan_eng::bleu": 7969, |
| "translation_pan_eng::chr-f": 7970, |
| "translation_pan_fra::bleu": 7971, |
| "translation_pan_fra::chr-f": 7972, |
| "translation_pan_por::bleu": 7973, |
| "translation_pan_por::chr-f": 7974, |
| "translation_pan_spa::bleu": 7975, |
| "translation_pan_spa::chr-f": 7976, |
| "translation_pap_deu::bleu": 7977, |
| "translation_pap_deu::chr-f": 7978, |
| "translation_pap_eng::bleu": 7979, |
| "translation_pap_eng::chr-f": 7980, |
| "translation_pap_fra::bleu": 7981, |
| "translation_pap_fra::chr-f": 7982, |
| "translation_pap_por::bleu": 7983, |
| "translation_pap_por::chr-f": 7984, |
| "translation_pap_spa::bleu": 7985, |
| "translation_pap_spa::chr-f": 7986, |
| "translation_pdc_deu::bleu": 7987, |
| "translation_pdc_deu::chr-f": 7988, |
| "translation_pdc_eng::bleu": 7989, |
| "translation_pdc_eng::chr-f": 7990, |
| "translation_pes_deu::bleu": 7991, |
| "translation_pes_deu::chr-f": 7992, |
| "translation_pes_eng::bleu": 7993, |
| "translation_pes_eng::chr-f": 7994, |
| "translation_pes_eng::chrf": 7995, |
| "translation_pes_eng::comet": 7996, |
| "translation_pes_fra::bleu": 7997, |
| "translation_pes_fra::chr-f": 7998, |
| "translation_pes_por::bleu": 7999, |
| "translation_pes_por::chr-f": 8000, |
| "translation_pes_spa::bleu": 8001, |
| "translation_pes_spa::chr-f": 8002, |
| "translation_plt_eng::bleu": 8003, |
| "translation_plt_eng::chr-f": 8004, |
| "translation_plt_fra::bleu": 8005, |
| "translation_plt_fra::chr-f": 8006, |
| "translation_plt_por::bleu": 8007, |
| "translation_plt_por::chr-f": 8008, |
| "translation_plt_spa::bleu": 8009, |
| "translation_plt_spa::chr-f": 8010, |
| "translation_pms_eng::bleu": 8011, |
| "translation_pms_eng::chr-f": 8012, |
| "translation_pms_ita::bleu": 8013, |
| "translation_pms_ita::chr-f": 8014, |
| "translation_pol_bel::bleu": 8015, |
| "translation_pol_deu::bleu": 8016, |
| "translation_pol_deu::chr-f": 8017, |
| "translation_pol_eng::bleu": 8018, |
| "translation_pol_eng::chr-f": 8019, |
| "translation_pol_eng::chrf": 8020, |
| "translation_pol_eng::comet": 8021, |
| "translation_pol_fra::bleu": 8022, |
| "translation_pol_fra::chr-f": 8023, |
| "translation_pol_por::bleu": 8024, |
| "translation_pol_por::chr-f": 8025, |
| "translation_pol_rus::bleu": 8026, |
| "translation_pol_spa::bleu": 8027, |
| "translation_pol_spa::chr-f": 8028, |
| "translation_pol_ukr::bleu": 8029, |
| "translation_por_afr::bleu": 8030, |
| "translation_por_afr::chr-f": 8031, |
| "translation_por_ara::bleu": 8032, |
| "translation_por_ara::chr-f": 8033, |
| "translation_por_ast::bleu": 8034, |
| "translation_por_ast::chr-f": 8035, |
| "translation_por_bel::bleu": 8036, |
| "translation_por_bel::chr-f": 8037, |
| "translation_por_ben::bleu": 8038, |
| "translation_por_ben::chr-f": 8039, |
| "translation_por_bul::bleu": 8040, |
| "translation_por_bul::chr-f": 8041, |
| "translation_por_cat::bleu": 8042, |
| "translation_por_cat::chr-f": 8043, |
| "translation_por_ces::bleu": 8044, |
| "translation_por_ces::chr-f": 8045, |
| "translation_por_cym::bleu": 8046, |
| "translation_por_cym::chr-f": 8047, |
| "translation_por_dan::bleu": 8048, |
| "translation_por_dan::chr-f": 8049, |
| "translation_por_deu::bleu": 8050, |
| "translation_por_deu::chr-f": 8051, |
| "translation_por_ell::bleu": 8052, |
| "translation_por_ell::chr-f": 8053, |
| "translation_por_eng::bleu": 8054, |
| "translation_por_eng::chr-f": 8055, |
| "translation_por_eng::chrf": 8056, |
| "translation_por_eng::comet": 8057, |
| "translation_por_est::bleu": 8058, |
| "translation_por_est::chr-f": 8059, |
| "translation_por_fao::bleu": 8060, |
| "translation_por_fao::chr-f": 8061, |
| "translation_por_fas::bleu": 8062, |
| "translation_por_fas::chr-f": 8063, |
| "translation_por_fin::bleu": 8064, |
| "translation_por_fin::chr-f": 8065, |
| "translation_por_fra::bleu": 8066, |
| "translation_por_fra::chr-f": 8067, |
| "translation_por_fur::bleu": 8068, |
| "translation_por_fur::chr-f": 8069, |
| "translation_por_gle::bleu": 8070, |
| "translation_por_gle::chr-f": 8071, |
| "translation_por_glg::bleu": 8072, |
| "translation_por_glg::chr-f": 8073, |
| "translation_por_guj::bleu": 8074, |
| "translation_por_guj::chr-f": 8075, |
| "translation_por_hat::bleu": 8076, |
| "translation_por_hat::chr-f": 8077, |
| "translation_por_hau::bleu": 8078, |
| "translation_por_hau::chr-f": 8079, |
| "translation_por_heb::bleu": 8080, |
| "translation_por_heb::chr-f": 8081, |
| "translation_por_hin::bleu": 8082, |
| "translation_por_hin::chr-f": 8083, |
| "translation_por_hne::bleu": 8084, |
| "translation_por_hne::chr-f": 8085, |
| "translation_por_hrv::bleu": 8086, |
| "translation_por_hrv::chr-f": 8087, |
| "translation_por_hun::bleu": 8088, |
| "translation_por_hun::chr-f": 8089, |
| "translation_por_isl::bleu": 8090, |
| "translation_por_isl::chr-f": 8091, |
| "translation_por_ita::bleu": 8092, |
| "translation_por_ita::chr-f": 8093, |
| "translation_por_kea::bleu": 8094, |
| "translation_por_kea::chr-f": 8095, |
| "translation_por_lav::bleu": 8096, |
| "translation_por_lav::chr-f": 8097, |
| "translation_por_lij::bleu": 8098, |
| "translation_por_lij::chr-f": 8099, |
| "translation_por_lin::bleu": 8100, |
| "translation_por_lin::chr-f": 8101, |
| "translation_por_lit::bleu": 8102, |
| "translation_por_lit::chr-f": 8103, |
| "translation_por_ltz::bleu": 8104, |
| "translation_por_ltz::chr-f": 8105, |
| "translation_por_mag::bleu": 8106, |
| "translation_por_mag::chr-f": 8107, |
| "translation_por_mkd::bleu": 8108, |
| "translation_por_mkd::chr-f": 8109, |
| "translation_por_mlt::bleu": 8110, |
| "translation_por_mlt::chr-f": 8111, |
| "translation_por_nds::bleu": 8112, |
| "translation_por_nds::chr-f": 8113, |
| "translation_por_nep::bleu": 8114, |
| "translation_por_nep::chr-f": 8115, |
| "translation_por_nld::bleu": 8116, |
| "translation_por_nld::chr-f": 8117, |
| "translation_por_nno::bleu": 8118, |
| "translation_por_nno::chr-f": 8119, |
| "translation_por_nob::bleu": 8120, |
| "translation_por_nob::chr-f": 8121, |
| "translation_por_nor::bleu": 8122, |
| "translation_por_nor::chr-f": 8123, |
| "translation_por_oci::bleu": 8124, |
| "translation_por_oci::chr-f": 8125, |
| "translation_por_pan::bleu": 8126, |
| "translation_por_pan::chr-f": 8127, |
| "translation_por_pap::bleu": 8128, |
| "translation_por_pap::chr-f": 8129, |
| "translation_por_pes::bleu": 8130, |
| "translation_por_pes::chr-f": 8131, |
| "translation_por_pol::bleu": 8132, |
| "translation_por_pol::chr-f": 8133, |
| "translation_por_por::bleu": 8134, |
| "translation_por_por::chr-f": 8135, |
| "translation_por_prs::bleu": 8136, |
| "translation_por_prs::chr-f": 8137, |
| "translation_por_pus::bleu": 8138, |
| "translation_por_pus::chr-f": 8139, |
| "translation_por_ron::bleu": 8140, |
| "translation_por_ron::chr-f": 8141, |
| "translation_por_rus::bleu": 8142, |
| "translation_por_rus::chr-f": 8143, |
| "translation_por_slk::bleu": 8144, |
| "translation_por_slk::chr-f": 8145, |
| "translation_por_slv::bleu": 8146, |
| "translation_por_slv::chr-f": 8147, |
| "translation_por_spa::bleu": 8148, |
| "translation_por_spa::chr-f": 8149, |
| "translation_por_sqi::bleu": 8150, |
| "translation_por_sqi::chr-f": 8151, |
| "translation_por_srd::bleu": 8152, |
| "translation_por_srd::chr-f": 8153, |
| "translation_por_srp_cyrl::bleu": 8154, |
| "translation_por_srp_cyrl::chr-f": 8155, |
| "translation_por_swa::bleu": 8156, |
| "translation_por_swa::chr-f": 8157, |
| "translation_por_swe::bleu": 8158, |
| "translation_por_swe::chr-f": 8159, |
| "translation_por_tgk::bleu": 8160, |
| "translation_por_tgk::chr-f": 8161, |
| "translation_por_tpi::bleu": 8162, |
| "translation_por_tpi::chr-f": 8163, |
| "translation_por_tsn::bleu": 8164, |
| "translation_por_tsn::chr-f": 8165, |
| "translation_por_tur::bleu": 8166, |
| "translation_por_tur::chr-f": 8167, |
| "translation_por_ukr::bleu": 8168, |
| "translation_por_ukr::chr-f": 8169, |
| "translation_por_urd::bleu": 8170, |
| "translation_por_urd::chr-f": 8171, |
| "translation_por_vie::bleu": 8172, |
| "translation_por_vie::chr-f": 8173, |
| "translation_prs_deu::bleu": 8174, |
| "translation_prs_deu::chr-f": 8175, |
| "translation_prs_eng::bleu": 8176, |
| "translation_prs_eng::chr-f": 8177, |
| "translation_prs_fra::bleu": 8178, |
| "translation_prs_fra::chr-f": 8179, |
| "translation_prs_por::bleu": 8180, |
| "translation_prs_por::chr-f": 8181, |
| "translation_prs_spa::bleu": 8182, |
| "translation_prs_spa::chr-f": 8183, |
| "translation_pus_deu::bleu": 8184, |
| "translation_pus_deu::chr-f": 8185, |
| "translation_pus_eng::bleu": 8186, |
| "translation_pus_eng::chr-f": 8187, |
| "translation_pus_fra::bleu": 8188, |
| "translation_pus_fra::chr-f": 8189, |
| "translation_pus_por::bleu": 8190, |
| "translation_pus_por::chr-f": 8191, |
| "translation_pus_spa::bleu": 8192, |
| "translation_pus_spa::chr-f": 8193, |
| "translation_quality_estimation::pearson_correlation": 8194, |
| "translation_quality_estimation::spearman_correlation": 8195, |
| "translation_quality_estimation::system_score": 8196, |
| "translation_ron_ara::bleu": 8197, |
| "translation_ron_ara::chr-f": 8198, |
| "translation_ron_ast::bleu": 8199, |
| "translation_ron_ast::chr-f": 8200, |
| "translation_ron_cat::bleu": 8201, |
| "translation_ron_cat::chr-f": 8202, |
| "translation_ron_deu::bleu": 8203, |
| "translation_ron_deu::chr-f": 8204, |
| "translation_ron_eng::bleu": 8205, |
| "translation_ron_eng::chr-f": 8206, |
| "translation_ron_eng::chrf": 8207, |
| "translation_ron_eng::comet": 8208, |
| "translation_ron_fra::bleu": 8209, |
| "translation_ron_fra::chr-f": 8210, |
| "translation_ron_glg::bleu": 8211, |
| "translation_ron_glg::chr-f": 8212, |
| "translation_ron_heb::bleu": 8213, |
| "translation_ron_heb::chr-f": 8214, |
| "translation_ron_ita::bleu": 8215, |
| "translation_ron_ita::chr-f": 8216, |
| "translation_ron_oci::bleu": 8217, |
| "translation_ron_oci::chr-f": 8218, |
| "translation_ron_por::bleu": 8219, |
| "translation_ron_por::chr-f": 8220, |
| "translation_ron_spa::bleu": 8221, |
| "translation_ron_spa::chr-f": 8222, |
| "translation_ron_tur::bleu": 8223, |
| "translation_ron_tur::chr-f": 8224, |
| "translation_ron_ukr::bleu": 8225, |
| "translation_ru_en::bertscore_f1": 8226, |
| "translation_ru_en::bertscore_precision": 8227, |
| "translation_ru_en::bertscore_recall": 8228, |
| "translation_ru_en::bleu": 8229, |
| "translation_ru_en::chrf": 8230, |
| "translation_ru_en::meteor": 8231, |
| "translation_ru_en::rouge-1": 8232, |
| "translation_ru_en::rouge-2": 8233, |
| "translation_ru_en::rouge-lsum": 8234, |
| "translation_ru_en::rouge_l": 8235, |
| "translation_ru_en::ter": 8236, |
| "translation_run_deu::bleu": 8237, |
| "translation_run_deu::chr-f": 8238, |
| "translation_run_eng::bleu": 8239, |
| "translation_run_eng::chr-f": 8240, |
| "translation_run_fra::bleu": 8241, |
| "translation_run_fra::chr-f": 8242, |
| "translation_run_por::bleu": 8243, |
| "translation_run_por::chr-f": 8244, |
| "translation_run_spa::bleu": 8245, |
| "translation_run_spa::chr-f": 8246, |
| "translation_rus_ast::bleu": 8247, |
| "translation_rus_ast::chr-f": 8248, |
| "translation_rus_bel::bleu": 8249, |
| "translation_rus_bul::bleu": 8250, |
| "translation_rus_cat::bleu": 8251, |
| "translation_rus_cat::chr-f": 8252, |
| "translation_rus_ces::bleu": 8253, |
| "translation_rus_dan::bleu": 8254, |
| "translation_rus_deu::bleu": 8255, |
| "translation_rus_deu::chr-f": 8256, |
| "translation_rus_eng::bleu": 8257, |
| "translation_rus_eng::chr-f": 8258, |
| "translation_rus_eng::chrf": 8259, |
| "translation_rus_eng::comet": 8260, |
| "translation_rus_fin::bleu": 8261, |
| "translation_rus_fra::bleu": 8262, |
| "translation_rus_fra::chr-f": 8263, |
| "translation_rus_glg::bleu": 8264, |
| "translation_rus_glg::chr-f": 8265, |
| "translation_rus_hbs::bleu": 8266, |
| "translation_rus_hrv::bleu": 8267, |
| "translation_rus_ita::bleu": 8268, |
| "translation_rus_ita::chr-f": 8269, |
| "translation_rus_lav::bleu": 8270, |
| "translation_rus_lit::bleu": 8271, |
| "translation_rus_mkd::bleu": 8272, |
| "translation_rus_nob::bleu": 8273, |
| "translation_rus_oci::bleu": 8274, |
| "translation_rus_oci::chr-f": 8275, |
| "translation_rus_pol::bleu": 8276, |
| "translation_rus_por::bleu": 8277, |
| "translation_rus_por::chr-f": 8278, |
| "translation_rus_ron::bleu": 8279, |
| "translation_rus_ron::chr-f": 8280, |
| "translation_rus_slv::bleu": 8281, |
| "translation_rus_spa::bleu": 8282, |
| "translation_rus_spa::chr-f": 8283, |
| "translation_rus_srp_cyrl::bleu": 8284, |
| "translation_rus_srp_latn::bleu": 8285, |
| "translation_rus_swe::bleu": 8286, |
| "translation_rus_ukr::bleu": 8287, |
| "translation_san_eng::bleu": 8288, |
| "translation_san_eng::chr-f": 8289, |
| "translation_scn_deu::bleu": 8290, |
| "translation_scn_deu::chr-f": 8291, |
| "translation_scn_eng::bleu": 8292, |
| "translation_scn_eng::chr-f": 8293, |
| "translation_scn_fra::bleu": 8294, |
| "translation_scn_fra::chr-f": 8295, |
| "translation_scn_por::bleu": 8296, |
| "translation_scn_por::chr-f": 8297, |
| "translation_scn_spa::bleu": 8298, |
| "translation_scn_spa::chr-f": 8299, |
| "translation_sco_eng::bleu": 8300, |
| "translation_sco_eng::chr-f": 8301, |
| "translation_sco_nld::bleu": 8302, |
| "translation_sco_nld::chr-f": 8303, |
| "translation_sin_deu::bleu": 8304, |
| "translation_sin_deu::chr-f": 8305, |
| "translation_sin_eng::bleu": 8306, |
| "translation_sin_eng::chr-f": 8307, |
| "translation_sin_fra::bleu": 8308, |
| "translation_sin_fra::chr-f": 8309, |
| "translation_sin_por::bleu": 8310, |
| "translation_sin_por::chr-f": 8311, |
| "translation_sin_spa::bleu": 8312, |
| "translation_sin_spa::chr-f": 8313, |
| "translation_slk_deu::bleu": 8314, |
| "translation_slk_deu::chr-f": 8315, |
| "translation_slk_eng::bleu": 8316, |
| "translation_slk_eng::chr-f": 8317, |
| "translation_slk_fra::bleu": 8318, |
| "translation_slk_fra::chr-f": 8319, |
| "translation_slk_por::bleu": 8320, |
| "translation_slk_por::chr-f": 8321, |
| "translation_slk_spa::bleu": 8322, |
| "translation_slk_spa::chr-f": 8323, |
| "translation_slk_ukr::bleu": 8324, |
| "translation_slv_deu::bleu": 8325, |
| "translation_slv_deu::chr-f": 8326, |
| "translation_slv_eng::bleu": 8327, |
| "translation_slv_eng::chr-f": 8328, |
| "translation_slv_fra::bleu": 8329, |
| "translation_slv_fra::chr-f": 8330, |
| "translation_slv_ita::bleu": 8331, |
| "translation_slv_ita::chr-f": 8332, |
| "translation_slv_por::bleu": 8333, |
| "translation_slv_por::chr-f": 8334, |
| "translation_slv_ron::bleu": 8335, |
| "translation_slv_ron::chr-f": 8336, |
| "translation_slv_rus::bleu": 8337, |
| "translation_slv_spa::bleu": 8338, |
| "translation_slv_spa::chr-f": 8339, |
| "translation_slv_ukr::bleu": 8340, |
| "translation_smp_sam::bleu_score": 8341, |
| "translation_smp_sam::character_accuracy": 8342, |
| "translation_smp_sam::chrf_score": 8343, |
| "translation_sna_eng::bleu": 8344, |
| "translation_sna_eng::chr-f": 8345, |
| "translation_sna_fra::bleu": 8346, |
| "translation_sna_fra::chr-f": 8347, |
| "translation_sna_por::bleu": 8348, |
| "translation_sna_por::chr-f": 8349, |
| "translation_sna_spa::bleu": 8350, |
| "translation_sna_spa::chr-f": 8351, |
| "translation_som_deu::bleu": 8352, |
| "translation_som_deu::chr-f": 8353, |
| "translation_som_eng::bleu": 8354, |
| "translation_som_eng::chr-f": 8355, |
| "translation_som_fra::bleu": 8356, |
| "translation_som_fra::chr-f": 8357, |
| "translation_som_por::bleu": 8358, |
| "translation_som_por::chr-f": 8359, |
| "translation_som_spa::bleu": 8360, |
| "translation_som_spa::chr-f": 8361, |
| "translation_sot_deu::bleu": 8362, |
| "translation_sot_deu::chr-f": 8363, |
| "translation_sot_eng::bleu": 8364, |
| "translation_sot_eng::chr-f": 8365, |
| "translation_sot_fra::bleu": 8366, |
| "translation_sot_fra::chr-f": 8367, |
| "translation_sot_por::bleu": 8368, |
| "translation_sot_por::chr-f": 8369, |
| "translation_sot_spa::bleu": 8370, |
| "translation_sot_spa::chr-f": 8371, |
| "translation_spa_afr::bleu": 8372, |
| "translation_spa_afr::chr-f": 8373, |
| "translation_spa_ara::bleu": 8374, |
| "translation_spa_ara::chr-f": 8375, |
| "translation_spa_ast::bleu": 8376, |
| "translation_spa_ast::chr-f": 8377, |
| "translation_spa_bel::bleu": 8378, |
| "translation_spa_bel::chr-f": 8379, |
| "translation_spa_ben::bleu": 8380, |
| "translation_spa_ben::chr-f": 8381, |
| "translation_spa_bul::bleu": 8382, |
| "translation_spa_bul::chr-f": 8383, |
| "translation_spa_cat::bleu": 8384, |
| "translation_spa_cat::chr-f": 8385, |
| "translation_spa_ces::bleu": 8386, |
| "translation_spa_ces::chr-f": 8387, |
| "translation_spa_cym::bleu": 8388, |
| "translation_spa_cym::chr-f": 8389, |
| "translation_spa_dan::bleu": 8390, |
| "translation_spa_dan::chr-f": 8391, |
| "translation_spa_deu::bleu": 8392, |
| "translation_spa_deu::chr-f": 8393, |
| "translation_spa_ell::bleu": 8394, |
| "translation_spa_ell::chr-f": 8395, |
| "translation_spa_eng::bleu": 8396, |
| "translation_spa_eng::chr-f": 8397, |
| "translation_spa_eng::chrf": 8398, |
| "translation_spa_eng::comet": 8399, |
| "translation_spa_est::bleu": 8400, |
| "translation_spa_est::chr-f": 8401, |
| "translation_spa_eus::bleu": 8402, |
| "translation_spa_eus::chr-f": 8403, |
| "translation_spa_fao::bleu": 8404, |
| "translation_spa_fao::chr-f": 8405, |
| "translation_spa_fas::bleu": 8406, |
| "translation_spa_fas::chr-f": 8407, |
| "translation_spa_fin::bleu": 8408, |
| "translation_spa_fin::chr-f": 8409, |
| "translation_spa_fra::bleu": 8410, |
| "translation_spa_fra::chr-f": 8411, |
| "translation_spa_fur::bleu": 8412, |
| "translation_spa_fur::chr-f": 8413, |
| "translation_spa_gla::bleu": 8414, |
| "translation_spa_gla::chr-f": 8415, |
| "translation_spa_gle::bleu": 8416, |
| "translation_spa_gle::chr-f": 8417, |
| "translation_spa_glg::bleu": 8418, |
| "translation_spa_glg::chr-f": 8419, |
| "translation_spa_hat::bleu": 8420, |
| "translation_spa_hat::chr-f": 8421, |
| "translation_spa_hau::bleu": 8422, |
| "translation_spa_hau::chr-f": 8423, |
| "translation_spa_hbs::bleu": 8424, |
| "translation_spa_hbs::chr-f": 8425, |
| "translation_spa_heb::bleu": 8426, |
| "translation_spa_heb::chr-f": 8427, |
| "translation_spa_hin::bleu": 8428, |
| "translation_spa_hin::chr-f": 8429, |
| "translation_spa_hne::bleu": 8430, |
| "translation_spa_hne::chr-f": 8431, |
| "translation_spa_hrv::bleu": 8432, |
| "translation_spa_hrv::chr-f": 8433, |
| "translation_spa_hun::bleu": 8434, |
| "translation_spa_hun::chr-f": 8435, |
| "translation_spa_isl::bleu": 8436, |
| "translation_spa_isl::chr-f": 8437, |
| "translation_spa_ita::bleu": 8438, |
| "translation_spa_ita::chr-f": 8439, |
| "translation_spa_lad::bleu": 8440, |
| "translation_spa_lad::chr-f": 8441, |
| "translation_spa_lad_latn::bleu": 8442, |
| "translation_spa_lad_latn::chr-f": 8443, |
| "translation_spa_lav::bleu": 8444, |
| "translation_spa_lav::chr-f": 8445, |
| "translation_spa_lij::bleu": 8446, |
| "translation_spa_lij::chr-f": 8447, |
| "translation_spa_lin::bleu": 8448, |
| "translation_spa_lin::chr-f": 8449, |
| "translation_spa_lit::bleu": 8450, |
| "translation_spa_lit::chr-f": 8451, |
| "translation_spa_mag::bleu": 8452, |
| "translation_spa_mag::chr-f": 8453, |
| "translation_spa_mar::bleu": 8454, |
| "translation_spa_mar::chr-f": 8455, |
| "translation_spa_mkd::bleu": 8456, |
| "translation_spa_mkd::chr-f": 8457, |
| "translation_spa_mlt::bleu": 8458, |
| "translation_spa_mlt::chr-f": 8459, |
| "translation_spa_nep::bleu": 8460, |
| "translation_spa_nep::chr-f": 8461, |
| "translation_spa_nld::bleu": 8462, |
| "translation_spa_nld::chr-f": 8463, |
| "translation_spa_nno::bleu": 8464, |
| "translation_spa_nno::chr-f": 8465, |
| "translation_spa_nob::bleu": 8466, |
| "translation_spa_nob::chr-f": 8467, |
| "translation_spa_nor::bleu": 8468, |
| "translation_spa_nor::chr-f": 8469, |
| "translation_spa_oci::bleu": 8470, |
| "translation_spa_oci::chr-f": 8471, |
| "translation_spa_pan::bleu": 8472, |
| "translation_spa_pan::chr-f": 8473, |
| "translation_spa_pap::bleu": 8474, |
| "translation_spa_pap::chr-f": 8475, |
| "translation_spa_pes::bleu": 8476, |
| "translation_spa_pes::chr-f": 8477, |
| "translation_spa_pol::bleu": 8478, |
| "translation_spa_pol::chr-f": 8479, |
| "translation_spa_por::bleu": 8480, |
| "translation_spa_por::chr-f": 8481, |
| "translation_spa_prs::bleu": 8482, |
| "translation_spa_prs::chr-f": 8483, |
| "translation_spa_pus::bleu": 8484, |
| "translation_spa_pus::chr-f": 8485, |
| "translation_spa_ron::bleu": 8486, |
| "translation_spa_ron::chr-f": 8487, |
| "translation_spa_rus::bleu": 8488, |
| "translation_spa_rus::chr-f": 8489, |
| "translation_spa_slk::bleu": 8490, |
| "translation_spa_slk::chr-f": 8491, |
| "translation_spa_slv::bleu": 8492, |
| "translation_spa_slv::chr-f": 8493, |
| "translation_spa_spa::bleu": 8494, |
| "translation_spa_spa::chr-f": 8495, |
| "translation_spa_sqi::bleu": 8496, |
| "translation_spa_sqi::chr-f": 8497, |
| "translation_spa_srd::bleu": 8498, |
| "translation_spa_srd::chr-f": 8499, |
| "translation_spa_srp_cyrl::bleu": 8500, |
| "translation_spa_srp_cyrl::chr-f": 8501, |
| "translation_spa_swa::bleu": 8502, |
| "translation_spa_swa::chr-f": 8503, |
| "translation_spa_swe::bleu": 8504, |
| "translation_spa_swe::chr-f": 8505, |
| "translation_spa_tgk::bleu": 8506, |
| "translation_spa_tgk::chr-f": 8507, |
| "translation_spa_tpi::bleu": 8508, |
| "translation_spa_tpi::chr-f": 8509, |
| "translation_spa_tsn::bleu": 8510, |
| "translation_spa_tsn::chr-f": 8511, |
| "translation_spa_tur::bleu": 8512, |
| "translation_spa_tur::chr-f": 8513, |
| "translation_spa_ukr::bleu": 8514, |
| "translation_spa_ukr::chr-f": 8515, |
| "translation_spa_urd::bleu": 8516, |
| "translation_spa_urd::chr-f": 8517, |
| "translation_spa_vie::bleu": 8518, |
| "translation_spa_vie::chr-f": 8519, |
| "translation_speech_translation::chrf++": 8520, |
| "translation_sqi_deu::bleu": 8521, |
| "translation_sqi_deu::chr-f": 8522, |
| "translation_sqi_eng::bleu": 8523, |
| "translation_sqi_eng::chr-f": 8524, |
| "translation_sqi_fra::bleu": 8525, |
| "translation_sqi_fra::chr-f": 8526, |
| "translation_sqi_por::bleu": 8527, |
| "translation_sqi_por::chr-f": 8528, |
| "translation_sqi_spa::bleu": 8529, |
| "translation_sqi_spa::chr-f": 8530, |
| "translation_srd_deu::bleu": 8531, |
| "translation_srd_deu::chr-f": 8532, |
| "translation_srd_eng::bleu": 8533, |
| "translation_srd_eng::chr-f": 8534, |
| "translation_srd_fra::bleu": 8535, |
| "translation_srd_fra::chr-f": 8536, |
| "translation_srd_por::bleu": 8537, |
| "translation_srd_por::chr-f": 8538, |
| "translation_srd_spa::bleu": 8539, |
| "translation_srd_spa::chr-f": 8540, |
| "translation_srn_eng::bleu": 8541, |
| "translation_srn_eng::chr-f": 8542, |
| "translation_srp_cyrl_deu::bleu": 8543, |
| "translation_srp_cyrl_deu::chr-f": 8544, |
| "translation_srp_cyrl_eng::bleu": 8545, |
| "translation_srp_cyrl_eng::chr-f": 8546, |
| "translation_srp_cyrl_fra::bleu": 8547, |
| "translation_srp_cyrl_fra::chr-f": 8548, |
| "translation_srp_cyrl_ita::bleu": 8549, |
| "translation_srp_cyrl_ita::chr-f": 8550, |
| "translation_srp_cyrl_por::bleu": 8551, |
| "translation_srp_cyrl_por::chr-f": 8552, |
| "translation_srp_cyrl_ron::bleu": 8553, |
| "translation_srp_cyrl_ron::chr-f": 8554, |
| "translation_srp_cyrl_rus::bleu": 8555, |
| "translation_srp_cyrl_spa::bleu": 8556, |
| "translation_srp_cyrl_spa::chr-f": 8557, |
| "translation_srp_cyrl_ukr::bleu": 8558, |
| "translation_srp_latn_deu::bleu": 8559, |
| "translation_srp_latn_deu::chr-f": 8560, |
| "translation_srp_latn_eng::bleu": 8561, |
| "translation_srp_latn_ita::bleu": 8562, |
| "translation_srp_latn_ita::chr-f": 8563, |
| "translation_srp_latn_rus::bleu": 8564, |
| "translation_srp_latn_ukr::bleu": 8565, |
| "translation_ssw_eng::bleu": 8566, |
| "translation_ssw_eng::chr-f": 8567, |
| "translation_ssw_fra::bleu": 8568, |
| "translation_ssw_fra::chr-f": 8569, |
| "translation_ssw_por::bleu": 8570, |
| "translation_ssw_por::chr-f": 8571, |
| "translation_ssw_spa::bleu": 8572, |
| "translation_ssw_spa::chr-f": 8573, |
| "translation_stq_deu::bleu": 8574, |
| "translation_stq_deu::chr-f": 8575, |
| "translation_stq_eng::bleu": 8576, |
| "translation_stq_eng::chr-f": 8577, |
| "translation_stq_nld::bleu": 8578, |
| "translation_stq_nld::chr-f": 8579, |
| "translation_swa_deu::bleu": 8580, |
| "translation_swa_deu::chr-f": 8581, |
| "translation_swa_eng::bleu": 8582, |
| "translation_swa_eng::chr-f": 8583, |
| "translation_swa_fra::bleu": 8584, |
| "translation_swa_fra::chr-f": 8585, |
| "translation_swa_por::bleu": 8586, |
| "translation_swa_por::chr-f": 8587, |
| "translation_swa_spa::bleu": 8588, |
| "translation_swa_spa::chr-f": 8589, |
| "translation_swe_ara::bleu": 8590, |
| "translation_swe_ara::chr-f": 8591, |
| "translation_swe_cat::bleu": 8592, |
| "translation_swe_cat::chr-f": 8593, |
| "translation_swe_ces::bleu": 8594, |
| "translation_swe_ces::chr-f": 8595, |
| "translation_swe_dan::bleu": 8596, |
| "translation_swe_dan::chr-f": 8597, |
| "translation_swe_deu::bleu": 8598, |
| "translation_swe_deu::chr-f": 8599, |
| "translation_swe_eng::bleu": 8600, |
| "translation_swe_eng::chr-f": 8601, |
| "translation_swe_eng::chrf": 8602, |
| "translation_swe_eng::comet": 8603, |
| "translation_swe_fra::bleu": 8604, |
| "translation_swe_fra::chr-f": 8605, |
| "translation_swe_glg::bleu": 8606, |
| "translation_swe_glg::chr-f": 8607, |
| "translation_swe_heb::bleu": 8608, |
| "translation_swe_heb::chr-f": 8609, |
| "translation_swe_isl::bleu": 8610, |
| "translation_swe_isl::chr-f": 8611, |
| "translation_swe_ita::bleu": 8612, |
| "translation_swe_ita::chr-f": 8613, |
| "translation_swe_nob::bleu": 8614, |
| "translation_swe_nob::chr-f": 8615, |
| "translation_swe_pol::bleu": 8616, |
| "translation_swe_pol::chr-f": 8617, |
| "translation_swe_por::bleu": 8618, |
| "translation_swe_por::chr-f": 8619, |
| "translation_swe_ron::bleu": 8620, |
| "translation_swe_ron::chr-f": 8621, |
| "translation_swe_rus::bleu": 8622, |
| "translation_swe_spa::bleu": 8623, |
| "translation_swe_spa::chr-f": 8624, |
| "translation_swe_tur::bleu": 8625, |
| "translation_swe_tur::chr-f": 8626, |
| "translation_swe_ukr::bleu": 8627, |
| "translation_swg_eng::bleu": 8628, |
| "translation_swg_eng::chr-f": 8629, |
| "translation_swg_nld::bleu": 8630, |
| "translation_swg_nld::chr-f": 8631, |
| "translation_swh_deu::bleu": 8632, |
| "translation_swh_deu::chr-f": 8633, |
| "translation_swh_eng::bleu": 8634, |
| "translation_swh_eng::chr-f": 8635, |
| "translation_swh_fra::bleu": 8636, |
| "translation_swh_fra::chr-f": 8637, |
| "translation_swh_por::bleu": 8638, |
| "translation_swh_por::chr-f": 8639, |
| "translation_swh_spa::bleu": 8640, |
| "translation_swh_spa::chr-f": 8641, |
| "translation_szl_deu::bleu": 8642, |
| "translation_szl_deu::chr-f": 8643, |
| "translation_szl_eng::bleu": 8644, |
| "translation_szl_eng::chr-f": 8645, |
| "translation_szl_fra::bleu": 8646, |
| "translation_szl_fra::chr-f": 8647, |
| "translation_szl_por::bleu": 8648, |
| "translation_szl_por::chr-f": 8649, |
| "translation_szl_spa::bleu": 8650, |
| "translation_szl_spa::chr-f": 8651, |
| "translation_tgk_cyrl_deu::bleu": 8652, |
| "translation_tgk_cyrl_deu::chr-f": 8653, |
| "translation_tgk_cyrl_eng::bleu": 8654, |
| "translation_tgk_cyrl_eng::chr-f": 8655, |
| "translation_tgk_cyrl_fra::bleu": 8656, |
| "translation_tgk_cyrl_fra::chr-f": 8657, |
| "translation_tgk_cyrl_por::bleu": 8658, |
| "translation_tgk_cyrl_por::chr-f": 8659, |
| "translation_tgk_cyrl_spa::bleu": 8660, |
| "translation_tgk_cyrl_spa::chr-f": 8661, |
| "translation_tgk_deu::bleu": 8662, |
| "translation_tgk_deu::chr-f": 8663, |
| "translation_tgk_eng::bleu": 8664, |
| "translation_tgk_eng::chr-f": 8665, |
| "translation_tgk_fra::bleu": 8666, |
| "translation_tgk_fra::chr-f": 8667, |
| "translation_tgk_por::bleu": 8668, |
| "translation_tgk_por::chr-f": 8669, |
| "translation_tgk_spa::bleu": 8670, |
| "translation_tgk_spa::chr-f": 8671, |
| "translation_tha_eng::bleu": 8672, |
| "translation_tha_eng::chrf": 8673, |
| "translation_tha_eng::comet": 8674, |
| "translation_tir_eng::bleu": 8675, |
| "translation_tir_eng::chr-f": 8676, |
| "translation_tir_spa::bleu": 8677, |
| "translation_tir_spa::chr-f": 8678, |
| "translation_tpi_deu::bleu": 8679, |
| "translation_tpi_deu::chr-f": 8680, |
| "translation_tpi_eng::bleu": 8681, |
| "translation_tpi_eng::chr-f": 8682, |
| "translation_tpi_fra::bleu": 8683, |
| "translation_tpi_fra::chr-f": 8684, |
| "translation_tpi_por::bleu": 8685, |
| "translation_tpi_por::chr-f": 8686, |
| "translation_tpi_spa::bleu": 8687, |
| "translation_tpi_spa::chr-f": 8688, |
| "translation_tsn_deu::bleu": 8689, |
| "translation_tsn_deu::chr-f": 8690, |
| "translation_tsn_eng::bleu": 8691, |
| "translation_tsn_eng::chr-f": 8692, |
| "translation_tsn_fra::bleu": 8693, |
| "translation_tsn_fra::chr-f": 8694, |
| "translation_tsn_por::bleu": 8695, |
| "translation_tsn_por::chr-f": 8696, |
| "translation_tsn_spa::bleu": 8697, |
| "translation_tsn_spa::chr-f": 8698, |
| "translation_tso_eng::bleu": 8699, |
| "translation_tso_eng::chr-f": 8700, |
| "translation_tso_fra::bleu": 8701, |
| "translation_tso_fra::chr-f": 8702, |
| "translation_tso_por::bleu": 8703, |
| "translation_tso_por::chr-f": 8704, |
| "translation_tur_eng::bleu": 8705, |
| "translation_tur_eng::chrf": 8706, |
| "translation_tur_eng::comet": 8707, |
| "translation_tur_ukr::bleu": 8708, |
| "translation_ukr_ast::bleu": 8709, |
| "translation_ukr_ast::chr-f": 8710, |
| "translation_ukr_bel::bleu": 8711, |
| "translation_ukr_bul::bleu": 8712, |
| "translation_ukr_cat::bleu": 8713, |
| "translation_ukr_cat::chr-f": 8714, |
| "translation_ukr_ces::bleu": 8715, |
| "translation_ukr_dan::bleu": 8716, |
| "translation_ukr_deu::bleu": 8717, |
| "translation_ukr_deu::chr-f": 8718, |
| "translation_ukr_eng::bleu": 8719, |
| "translation_ukr_eng::chr-f": 8720, |
| "translation_ukr_fin::bleu": 8721, |
| "translation_ukr_fra::bleu": 8722, |
| "translation_ukr_fra::chr-f": 8723, |
| "translation_ukr_glg::bleu": 8724, |
| "translation_ukr_glg::chr-f": 8725, |
| "translation_ukr_hbs::bleu": 8726, |
| "translation_ukr_hrv::bleu": 8727, |
| "translation_ukr_hun::bleu": 8728, |
| "translation_ukr_ita::bleu": 8729, |
| "translation_ukr_ita::chr-f": 8730, |
| "translation_ukr_lav::bleu": 8731, |
| "translation_ukr_lit::bleu": 8732, |
| "translation_ukr_mkd::bleu": 8733, |
| "translation_ukr_nob::bleu": 8734, |
| "translation_ukr_oci::bleu": 8735, |
| "translation_ukr_oci::chr-f": 8736, |
| "translation_ukr_pol::bleu": 8737, |
| "translation_ukr_por::bleu": 8738, |
| "translation_ukr_por::chr-f": 8739, |
| "translation_ukr_ron::bleu": 8740, |
| "translation_ukr_ron::chr-f": 8741, |
| "translation_ukr_rus::bleu": 8742, |
| "translation_ukr_slk::bleu": 8743, |
| "translation_ukr_slv::bleu": 8744, |
| "translation_ukr_spa::bleu": 8745, |
| "translation_ukr_spa::chr-f": 8746, |
| "translation_ukr_srp_cyrl::bleu": 8747, |
| "translation_ukr_srp_latn::bleu": 8748, |
| "translation_ukr_swe::bleu": 8749, |
| "translation_ukr_tur::bleu": 8750, |
| "translation_urd_deu::bleu": 8751, |
| "translation_urd_deu::chr-f": 8752, |
| "translation_urd_eng::bleu": 8753, |
| "translation_urd_eng::chr-f": 8754, |
| "translation_urd_eng::chrf": 8755, |
| "translation_urd_eng::comet": 8756, |
| "translation_urd_fra::bleu": 8757, |
| "translation_urd_fra::chr-f": 8758, |
| "translation_urd_por::bleu": 8759, |
| "translation_urd_por::chr-f": 8760, |
| "translation_urd_spa::bleu": 8761, |
| "translation_urd_spa::chr-f": 8762, |
| "translation_vec_deu::bleu": 8763, |
| "translation_vec_deu::chr-f": 8764, |
| "translation_vec_eng::bleu": 8765, |
| "translation_vec_eng::chr-f": 8766, |
| "translation_vec_fra::bleu": 8767, |
| "translation_vec_fra::chr-f": 8768, |
| "translation_vec_por::bleu": 8769, |
| "translation_vec_por::chr-f": 8770, |
| "translation_vec_spa::bleu": 8771, |
| "translation_vec_spa::chr-f": 8772, |
| "translation_ven_eng::bleu": 8773, |
| "translation_ven_eng::chr-f": 8774, |
| "translation_ven_fra::bleu": 8775, |
| "translation_ven_fra::chr-f": 8776, |
| "translation_ven_por::bleu": 8777, |
| "translation_ven_por::chr-f": 8778, |
| "translation_ven_spa::bleu": 8779, |
| "translation_ven_spa::chr-f": 8780, |
| "translation_vie_eng::bleu": 8781, |
| "translation_vie_eng::chrf": 8782, |
| "translation_vie_eng::comet": 8783, |
| "translation_xho_deu::bleu": 8784, |
| "translation_xho_deu::chr-f": 8785, |
| "translation_xho_eng::bleu": 8786, |
| "translation_xho_eng::chr-f": 8787, |
| "translation_xho_fra::bleu": 8788, |
| "translation_xho_fra::chr-f": 8789, |
| "translation_xho_por::bleu": 8790, |
| "translation_xho_por::chr-f": 8791, |
| "translation_xho_spa::bleu": 8792, |
| "translation_xho_spa::chr-f": 8793, |
| "translation_yid_eng::bleu": 8794, |
| "translation_yid_eng::chr-f": 8795, |
| "translation_yid_fra::bleu": 8796, |
| "translation_yid_fra::chr-f": 8797, |
| "translation_yid_spa::bleu": 8798, |
| "translation_yid_spa::chr-f": 8799, |
| "translation_yor_eng::bleu": 8800, |
| "translation_yor_eng::chr-f": 8801, |
| "translation_zea_deu::bleu": 8802, |
| "translation_zea_deu::chr-f": 8803, |
| "translation_zea_eng::bleu": 8804, |
| "translation_zea_eng::chr-f": 8805, |
| "translation_zea_fry::bleu": 8806, |
| "translation_zea_fry::chr-f": 8807, |
| "translation_zea_nds::bleu": 8808, |
| "translation_zea_nds::chr-f": 8809, |
| "translation_zea_nld::bleu": 8810, |
| "translation_zea_nld::chr-f": 8811, |
| "translation_zho_eng::bleu": 8812, |
| "translation_zho_eng::chrf": 8813, |
| "translation_zho_eng::comet": 8814, |
| "translation_zho_jpn::bleu": 8815, |
| "translation_zho_jpn::chr-f": 8816, |
| "translation_zul_deu::bleu": 8817, |
| "translation_zul_deu::chr-f": 8818, |
| "translation_zul_eng::bleu": 8819, |
| "translation_zul_eng::chr-f": 8820, |
| "translation_zul_fra::bleu": 8821, |
| "translation_zul_fra::chr-f": 8822, |
| "translation_zul_por::bleu": 8823, |
| "translation_zul_por::chr-f": 8824, |
| "translation_zul_spa::bleu": 8825, |
| "translation_zul_spa::chr-f": 8826, |
| "triplet::cosine_accuracy": 8827, |
| "triplet::cosine_accuracy_on_dev": 8828, |
| "triplet::cosine_accuracy_on_test": 8829, |
| "triplet::dot_accuracy": 8830, |
| "triplet::euclidean_accuracy": 8831, |
| "triplet::manhattan_accuracy": 8832, |
| "triplet::max_accuracy": 8833, |
| "triviaqa::accuracy": 8834, |
| "truthfulness::mc2": 8835, |
| "truthfulness_in_answers::pass@1": 8836, |
| "truthfulness_in_question_answering::score": 8837, |
| "truthfulqa::accuracy": 8838, |
| "truthfulqa::hhem_consistency": 8839, |
| "truthfulqa::score": 8840, |
| "truthfulqa_0-shot": 8841, |
| "truthfulqa_gen::bleu_acc": 8842, |
| "truthfulqa_gen::bleu_diff": 8843, |
| "truthfulqa_gen::bleu_max": 8844, |
| "truthfulqa_gen::bleurt_acc": 8845, |
| "truthfulqa_gen::bleurt_diff": 8846, |
| "truthfulqa_gen::bleurt_max": 8847, |
| "truthfulqa_gen::rouge1_acc": 8848, |
| "truthfulqa_gen::rouge1_diff": 8849, |
| "truthfulqa_gen::rouge1_max": 8850, |
| "truthfulqa_gen::rouge2_acc": 8851, |
| "truthfulqa_gen::rouge2_diff": 8852, |
| "truthfulqa_gen::rouge2_max": 8853, |
| "truthfulqa_gen::rougel_acc": 8854, |
| "truthfulqa_gen::rougel_diff": 8855, |
| "truthfulqa_gen::rougel_max": 8856, |
| "truthfulqa_generation::accuracy": 8857, |
| "truthfulqa_mc2::accuracy": 8858, |
| "turn_detection::accuracy": 8859, |
| "turn_detection::f1": 8860, |
| "turn_detection::precision": 8861, |
| "turn_detection::recall": 8862, |
| "type_prediction::average_accuracy": 8863, |
| "ufd::avg_acc_french_on_development_set": 8864, |
| "ufd::avg_acc_german_on_development_set": 8865, |
| "ufd::avg_acc_japanese_on_development_set": 8866, |
| "ui_element_detection::click_accuracy": 8867, |
| "uncensored_response::compliance_rate": 8868, |
| "uncensored_response::prompt_compliance_rate_%": 8869, |
| "unlabeled_dependencies::unlabeled_attachment_score_uas": 8870, |
| "unsupervised_domain_adaptation::accuracy": 8871, |
| "unsupervised_domain_adaptation::map": 8872, |
| "unsupervised_domain_adaptation::mean_corruption_error_mce": 8873, |
| "unsupervised_instance_segmentation::ap": 8874, |
| "unsupervised_object_segmentation::ari": 8875, |
| "unsupervised_object_segmentation::ari-fg": 8876, |
| "unsupervised_semantic_segmentation::accuracy": 8877, |
| "unsupervised_semantic_segmentation::clustering_accuracy": 8878, |
| "unsupervised_semantic_segmentation::clustering_miou": 8879, |
| "unsupervised_semantic_segmentation::miou": 8880, |
| "unsupervised_semantic_segmentation::pixel_accuracy": 8881, |
| "urdu_speech_recognition::cer": 8882, |
| "urdu_speech_recognition::wer": 8883, |
| "user_feedback_classification::accuracy": 8884, |
| "user_feedback_classification::f1_macro": 8885, |
| "uzbek_language_understanding::overall_accuracy": 8886, |
| "vcgbench_diverse::consistency": 8887, |
| "vehicle_re_identification::map": 8888, |
| "vehicle_re_identification::rank-1": 8889, |
| "verbalized_rebus_solving::first_pass_exact_match": 8890, |
| "verbalized_rebus_solving::solution_exact_match": 8891, |
| "video_based_generative_performance_benchmarking::mean": 8892, |
| "video_based_generative_performance_benchmarking_correctness_of_information::gpt-score": 8893, |
| "video_caption::bleu@1": 8894, |
| "video_caption::bleu@4": 8895, |
| "video_caption::cider": 8896, |
| "video_caption::meteor": 8897, |
| "video_caption::rouge_l": 8898, |
| "video_captioning::bleu-4": 8899, |
| "video_captioning::cider": 8900, |
| "video_classification::accuracy": 8901, |
| "video_classification::accuracy_%": 8902, |
| "video_classification::area-under-the-receiver-operating-characteristic": 8903, |
| "video_classification::f1": 8904, |
| "video_classification::test_accuracy": 8905, |
| "video_classification::top-1_accuracy": 8906, |
| "video_classification::top-5_accuracy": 8907, |
| "video_classification::validation_accuracy": 8908, |
| "video_crime_detection::accuracy_estimated": 8909, |
| "video_crime_detection::f1": 8910, |
| "video_detailed_caption::bleu@1": 8911, |
| "video_detailed_caption::bleu@4": 8912, |
| "video_detailed_caption::cider": 8913, |
| "video_detailed_caption::meteor": 8914, |
| "video_detailed_caption::rouge_l": 8915, |
| "video_detailed_caption::vdcscore": 8916, |
| "video_detailed_caption::vdd": 8917, |
| "video_frame_interpolation::interpolation_error": 8918, |
| "video_frame_interpolation::lpips": 8919, |
| "video_frame_interpolation::psnr": 8920, |
| "video_generation::clip_r-precision": 8921, |
| "video_generation::fvd16": 8922, |
| "video_generation::inception_score": 8923, |
| "video_grounding::r@1_iou=0.5": 8924, |
| "video_instance_segmentation::ap50": 8925, |
| "video_instance_segmentation::mask_ap": 8926, |
| "video_instance_segmentation::tube-boundary_ap": 8927, |
| "video_object_segmentation::average_iou": 8928, |
| "video_object_segmentation::f-measure": 8929, |
| "video_object_segmentation::f-score": 8930, |
| "video_object_segmentation::jaccard": 8931, |
| "video_object_segmentation::jaccard_seen": 8932, |
| "video_prediction::cond": 8933, |
| "video_prediction::lpips": 8934, |
| "video_question_answering::accuracy": 8935, |
| "video_question_answering::accuracy_top-1": 8936, |
| "video_question_answering::average_accuracy": 8937, |
| "video_question_answering::avg": 8938, |
| "video_question_answering::avg.": 8939, |
| "video_question_anwering::accuracy": 8940, |
| "video_reconstruction::average_psnr_db": 8941, |
| "video_reconstruction::lpips": 8942, |
| "video_retrieval::r@1": 8943, |
| "video_retrieval::text-to-video_r@1": 8944, |
| "video_retrieval::text-to-video_r@10": 8945, |
| "video_summarization::f1_avg": 8946, |
| "video_super_resolution::bsq-rate_over_erqa": 8947, |
| "video_super_resolution::lpips": 8948, |
| "video_text_to_text::average_score_on_15_academic_benchmarks": 8949, |
| "videomme::accuracy": 8950, |
| "videommmu::accuracy": 8951, |
| "vietnamese_banking_aspect_sentiment_analysis::test_accuracy_logistic_regression": 8952, |
| "vietnamese_banking_aspect_sentiment_analysis::test_accuracy_svc": 8953, |
| "vietnamese_banking_aspect_sentiment_analysis::weighted_f1-score_logistic_regression": 8954, |
| "vietnamese_banking_aspect_sentiment_analysis::weighted_f1-score_svc": 8955, |
| "vietnamese_banking_aspect_sentiment_analysis::weighted_precision_svc": 8956, |
| "vietnamese_banking_aspect_sentiment_analysis::weighted_recall_svc": 8957, |
| "vietnamese_banking_text_classification::test_accuracy_svc": 8958, |
| "vietnamese_banking_text_classification::weighted_f1-score_svc": 8959, |
| "vietnamese_banking_text_classification::weighted_precision_svc": 8960, |
| "vietnamese_banking_text_classification::weighted_recall_svc": 8961, |
| "vietnamese_general_sentiment_analysis::test_accuracy_logistic_regression": 8962, |
| "vietnamese_general_sentiment_analysis::test_accuracy_svc_linear": 8963, |
| "vietnamese_general_sentiment_analysis::weighted_f1-score_logistic_regression": 8964, |
| "vietnamese_general_sentiment_analysis::weighted_f1-score_svc": 8965, |
| "vietnamese_medical_abstractive_question_answering::bertscore_f1": 8966, |
| "vietnamese_medical_abstractive_question_answering::bleu_score": 8967, |
| "vietnamese_medical_abstractive_question_answering::rouge-l_score": 8968, |
| "vietnamese_natural_language_inference::4-class_test_accuracy": 8969, |
| "vietnamese_news_classification::test_accuracy_svc": 8970, |
| "vietnamese_news_classification::weighted_f1-score": 8971, |
| "vietnamese_news_classification::weighted_precision": 8972, |
| "vietnamese_news_classification::weighted_recall": 8973, |
| "vilaquad::exact_match": 8974, |
| "vilaquad::f1": 8975, |
| "violence_detection::accuracy": 8976, |
| "violence_detection::f1": 8977, |
| "violence_detection::macro-f1": 8978, |
| "violence_detection::precision": 8979, |
| "violence_detection::recall": 8980, |
| "viquiquad::exact_match": 8981, |
| "viquiquad::f1": 8982, |
| "vision_and_language_navigation::spl_test_unseen": 8983, |
| "vision_and_language_navigation::spl_val_unseen": 8984, |
| "vision_and_language_navigation::sr_test_unseen": 8985, |
| "vision_and_language_navigation::sr_val_unseen": 8986, |
| "vision_based_classification::accuracy": 8987, |
| "vision_language_action_navigation::f1": 8988, |
| "vision_language_action_navigation::final_loss": 8989, |
| "vision_language_action_navigation::test_accuracy": 8990, |
| "visual_math_reasoning::accuracy": 8991, |
| "visual_object_tracking::auc": 8992, |
| "visual_object_tracking::eao": 8993, |
| "visual_object_tracking::expected_average_overlap_eao": 8994, |
| "visual_object_tracking::f-measure_unseen": 8995, |
| "visual_place_recognition::recall@1": 8996, |
| "visual_prompt_tuning::mean_accuracy": 8997, |
| "visual_question_answering::absolute_distance": 8998, |
| "visual_question_answering::accuracy": 8999, |
| "visual_question_answering::accuracy_on_closed_subset": 9000, |
| "visual_question_answering::appearance_order": 9001, |
| "visual_question_answering::average": 9002, |
| "visual_question_answering::bleu-1": 9003, |
| "visual_question_answering::gpt-3.5_score": 9004, |
| "visual_question_answering::gpt-4_score": 9005, |
| "visual_question_answering::gpt-4_score_bbox": 9006, |
| "visual_question_answering::hallucination_rate": 9007, |
| "visual_question_answering::object_count": 9008, |
| "visual_question_answering::object_size": 9009, |
| "visual_question_answering::relative_direction": 9010, |
| "visual_question_answering::relative_distance": 9011, |
| "visual_question_answering::room_size": 9012, |
| "visual_question_answering::route_plan": 9013, |
| "visual_question_answering::sentence_sacrebleu": 9014, |
| "visual_question_answering::tokenized_f1": 9015, |
| "visual_question_answering::training_loss": 9016, |
| "visual_question_answering::validation_loss": 9017, |
| "visual_question_answering_vqa::abductive": 9018, |
| "visual_question_answering_vqa::accuracy": 9019, |
| "visual_question_answering_vqa::anls": 9020, |
| "visual_question_answering_vqa::average_score_on_vlm2-bench_9_subtasks": 9021, |
| "visual_question_answering_vqa::bem": 9022, |
| "visual_question_answering_vqa::da_vqa_score": 9023, |
| "visual_question_answering_vqa::exact_match": 9024, |
| "visual_question_answering_vqa::overall": 9025, |
| "visual_question_answering_vqa::overall_accuracy": 9026, |
| "visual_question_answering_vqa::question_pair_acc": 9027, |
| "visual_question_answering_vqa::reasoning_alg.": 9028, |
| "visual_question_answering_vqa::vqa_ablation": 9029, |
| "visual_reasoning::accuracy": 9030, |
| "visual_reasoning::jaccard_index": 9031, |
| "visual_reasoning::text_score": 9032, |
| "visual_scientific_knowledge_reasoning::accuracy": 9033, |
| "visual_servoing::inference_speed": 9034, |
| "visual_servoing::iou": 9035, |
| "visual_servoing::mean_error_px": 9036, |
| "visual_storytelling::average_hallucinations": 9037, |
| "visual_storytelling::bleu-4": 9038, |
| "visual_storytelling::character_persistence_≥5_frames": 9039, |
| "visual_storytelling::character_precision": 9040, |
| "visual_storytelling::character_recall": 9041, |
| "visual_storytelling::description_accuracy": 9042, |
| "visual_storytelling::f1": 9043, |
| "visual_storytelling::map": 9044, |
| "visual_storytelling::meteor": 9045, |
| "visual_storytelling::object_persistence_≥5_frames": 9046, |
| "visual_storytelling::object_precision": 9047, |
| "visual_storytelling::object_recall": 9048, |
| "visual_storytelling::rouge_l": 9049, |
| "visual_storytelling::total_precision": 9050, |
| "visual_storytelling::total_recall": 9051, |
| "visual_storytelling::well-structured_stories": 9052, |
| "visual_tracking::average_jaccard": 9053, |
| "vla::accuracy": 9054, |
| "voice_activity_detection::accuracy": 9055, |
| "voice_activity_detection::auc-roc": 9056, |
| "voice_activity_detection::f1-score": 9057, |
| "voice_conversion::speaker_similarity": 9058, |
| "voice_conversion::training_steps": 9059, |
| "voice_emotion_recognition::emotion_top-3_accuracy": 9060, |
| "voice_emotion_recognition::gender_accuracy": 9061, |
| "voice_emotion_recognition::perplexity": 9062, |
| "voice_emotion_recognition::validation_loss": 9063, |
| "vqav2::number_accuracy": 9064, |
| "vqav2::other_accuracy": 9065, |
| "vqav2::overall_accuracy": 9066, |
| "vqav2::yes/no_accuracy": 9067, |
| "vsi_bench::accuracy": 9068, |
| "waste_classification::validation_accuracy": 9069, |
| "widesearch::accuracy": 9070, |
| "wikipedia_summarization::test_bertscore": 9071, |
| "wikipedia_summarization::test_rouge1": 9072, |
| "wikipedia_summarization::test_rouge2": 9073, |
| "wikipedia_summarization::test_rougel": 9074, |
| "wikitext_fr::perplexity": 9075, |
| "winog::accuracy": 9076, |
| "winogrande::accuracy": 9077, |
| "winogrande::score": 9078, |
| "winogrande_challenge::accuracy": 9079, |
| "word_prediction::perplexity": 9080, |
| "word_sense_disambiguation::accuracy": 9081, |
| "word_sense_disambiguation::f1": 9082, |
| "word_similarity::spearman": 9083, |
| "word_similarity::spearman's_rho": 9084, |
| "wp_regression_go_field_goal_punt::mean_regret_δwp_late_&_close": 9085, |
| "wp_regression_go_field_goal_punt::mean_regret_δwp_overall": 9086, |
| "wp_regression_go_field_goal_punt::policy_agreement_late_&_close": 9087, |
| "wp_regression_go_field_goal_punt::policy_agreement_top-δwp": 9088, |
| "xquad_ca::exact_match": 9089, |
| "xquad_ca::f1": 9090, |
| "yes_no_question_classification::accuracy": 9091, |
| "yes_no_question_classification::f1": 9092, |
| "zero_shot_action_recognition::map": 9093, |
| "zero_shot_action_recognition::top-1_accuracy": 9094, |
| "zero_shot_baseline::accuracy": 9095, |
| "zero_shot_baseline::macro_f1": 9096, |
| "zero_shot_binary::accuracy": 9097, |
| "zero_shot_binary::macro-f1": 9098, |
| "zero_shot_classification::accuracy": 9099, |
| "zero_shot_classification::acurácia": 9100, |
| "zero_shot_classification::balanced_accuracy": 9101, |
| "zero_shot_classification::f1": 9102, |
| "zero_shot_classification::f1_macro": 9103, |
| "zero_shot_classification::f1_micro": 9104, |
| "zero_shot_classification::inference_text/sec_a100_batch=64": 9105, |
| "zero_shot_classification::inference_text/sec_a10g_batch=128": 9106, |
| "zero_shot_classification::inference_text/sec_a10g_gpu_batch=128": 9107, |
| "zero_shot_classification::precision_macro": 9108, |
| "zero_shot_classification::precision_micro": 9109, |
| "zero_shot_classification::recall_macro": 9110, |
| "zero_shot_classification::recall_micro": 9111, |
| "zero_shot_classification::training_loss": 9112, |
| "zero_shot_classification::validation_loss": 9113, |
| "zero_shot_classifications::acurácia": 9114, |
| "zero_shot_emergence_detection::emergence_detection_f1": 9115, |
| "zero_shot_emergence_detection::zero-shot_accuracy": 9116, |
| "zero_shot_generalization::avg._sequence_length": 9117, |
| "zero_shot_image_classification::#_params_m_-_img": 9118, |
| "zero_shot_image_classification::#_params_m_-_txt": 9119, |
| "zero_shot_image_classification::#_params_m_img": 9120, |
| "zero_shot_image_classification::#_params_m_img_+_txt": 9121, |
| "zero_shot_image_classification::#_params_m_txt": 9122, |
| "zero_shot_image_classification::#_seen_samples_b": 9123, |
| "zero_shot_image_classification::avg._perf._%_on_38_datasets": 9124, |
| "zero_shot_image_classification::in-1k_top-1_acc._%": 9125, |
| "zero_shot_image_classification::in-1k_zero-shot_top-1_acc._%": 9126, |
| "zero_shot_image_classification::latency_ms_-_img": 9127, |
| "zero_shot_image_classification::latency_ms_-_txt": 9128, |
| "zero_shot_image_classification::latency_ms_img": 9129, |
| "zero_shot_image_classification::latency_ms_img_+_txt": 9130, |
| "zero_shot_image_classification::latency_ms_txt": 9131, |
| "zero_shot_image_classification::params_img_m": 9132, |
| "zero_shot_image_classification::params_m_-_img": 9133, |
| "zero_shot_image_classification::params_m_-_txt": 9134, |
| "zero_shot_image_classification::params_txt_m": 9135, |
| "zero_shot_image_classification::seen_samples_b": 9136, |
| "zero_shot_image_classification::top-1_acc._%": 9137, |
| "zero_shot_image_classification::top-1_acc_%": 9138, |
| "zero_shot_image_classification::zero-shot_top-1_acc_%": 9139, |
| "zero_shot_retrieval::image_retrieval_r@1": 9140, |
| "zero_shot_retrieval::text_retrieval_r@1": 9141, |
| "zero_shot_segmentation::mean_ap": 9142, |
| "zero_shot_segmentation::miou": 9143, |
| "zero_shot_sentiment_classification::weighted-f1_score": 9144, |
| "zero_shot_text_classification::accuracy": 9145, |
| "zero_shot_text_classification::loss": 9146, |
| "zero_shot_transfer_image_classification::accuracy": 9147, |
| "zero_shot_transfer_image_classification::accuracy_private": 9148, |
| "zero_shot_transfer_image_classification::top_1_accuracy": 9149, |
| "zero_shot_video_retrieval::text-to-video_r@1": 9150, |
| "zero_shot_video_retrieval::text-to-video_r@10": 9151 |
| } |