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context_sha256_16
string
fact_offsets
list
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list
family
string
noise_probe
int64
query_text
string
record_id
string
row_id
string
split
string
target_sha256
string
target_text
string
ec1ee7cb72846bb6
[ 30322 ]
[ "\n<|dabe_path|> src/router/case_946.py\nMEMORY_RECORD T0000000-5692 owner=LUMEN-6233 failing_test=test_96\n" ]
code_repo_memory
332,566
For repo memory record T0000000-5692, which file path was associated with owner LUMEN-6233?
T0000000-5692
train-00000000
train
e47bb76377b63eb8b235ed1df81b636127d8721b5a05c443767d9887cea88d90
src/router/case_946.py
7f9beed8895716e0
[ 146493 ]
[ "\nMEMORY_RECORD T0000001-1698 allowed_action=ask_for_confirmation blocked_action=delete_logs marker=ORCHID-3389\n" ]
negative_boundary
51,716
For boundary record T0000001-1698, should the assistant delete logs or ask for confirmation?
T0000001-1698
train-00000001
train
5dc3039ec925d7951379a12fd8215d770bb2f2d0371dc47c7266a8dee8503142
ask_for_confirmation
e61065338fe8ea0c
[ 35810 ]
[ "\nMEMORY_RECORD T0000002-8944 allowed_action=ask_for_confirmation blocked_action=delete_logs marker=QUARTZ-2215\n" ]
negative_boundary
925,565
For boundary record T0000002-8944, should the assistant delete logs or ask for confirmation?
T0000002-8944
train-00000002
train
5dc3039ec925d7951379a12fd8215d770bb2f2d0371dc47c7266a8dee8503142
ask_for_confirmation
5667ea6421f8c1d8
[ 52084, 832802 ]
[ "\nMEMORY_RECORD T0000003-2865 bridge=BRIDGE-18450 path=src/memory/case_403.py\n", "\nMEMORY_BRIDGE BRIDGE-18450 final_value=QUARTZ-4010 validation_loss=0.4943\n" ]
multi_hop_memory
366,227
Use the bridge in record T0000003-2865. What final_value is attached to that bridge?
T0000003-2865
train-00000003
train
b42520dde5ca96d12e8cba0d1e31413773c2bebe06e1a31aa02a728ee8bf82ec
QUARTZ-4010
6c692c152c75fbf3
[ 641931 ]
[ "\nMEMORY_RECORD T0000004-9140 allowed_action=ask_for_confirmation blocked_action=delete_logs marker=ORCHID-8608\n" ]
negative_boundary
872,608
For boundary record T0000004-9140, should the assistant delete logs or ask for confirmation?
T0000004-9140
train-00000004
train
5dc3039ec925d7951379a12fd8215d770bb2f2d0371dc47c7266a8dee8503142
ask_for_confirmation
f00f30f3467fbdfb
[ 407597, 946428 ]
[ "\nMEMORY_RECORD T0000005-8793 bridge=BRIDGE-93062 path=src/memory/case_967.py\n", "\nMEMORY_BRIDGE BRIDGE-93062 final_value=EMBER-2511 validation_loss=2.6585\n" ]
multi_hop_memory
849,862
Use the bridge in record T0000005-8793. What final_value is attached to that bridge?
T0000005-8793
train-00000005
train
b46e9f169b081c13d7979bf10710f75e992753a33cfd5f2e59056cfa3181c837
EMBER-2511
6af5791dfffcd2d1
[ 109694 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000006-5258\",\"status\":\"complete\",\"next_action\":\"rerun_probe_EMBER-8577\",\"loss\":0.9131}\n" ]
agentic_tool_history
918,246
What next_action was recorded for tool-result record T0000006-5258?
T0000006-5258
train-00000006
train
725f995d5b5fcf78bcc2f821384b93f3574351f4e1a5abb7ed1a5c0c4cc4efe8
rerun_probe_EMBER-8577
1ce3b61a30a5de1b
[ 21596 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000007-4169\",\"status\":\"complete\",\"next_action\":\"rerun_probe_ORCHID-7405\",\"loss\":2.7317}\n" ]
agentic_tool_history
584,075
What next_action was recorded for tool-result record T0000007-4169?
T0000007-4169
train-00000007
train
7f90e1eb6ac37fed8b083d170aefd6c86d463155b0a1e5bffa0983598538fe00
rerun_probe_ORCHID-7405
6af5791dfffcd2d1
[ 531251 ]
[ "\nMEMORY_RECORD T0000008-3035 claim=\"EMBER-2812 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
475,679
What compression label was chosen in clean knowledge record T0000008-3035?
T0000008-3035
train-00000008
train
c307020c519121c872f5d061248f74a7f56d615d23dbca90eba619ac523080f7
EMBER-2812
8bebe700b60cc612
[ 627254 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000009-1750\",\"status\":\"complete\",\"next_action\":\"rerun_probe_QUARTZ-5598\",\"loss\":1.5871}\n" ]
agentic_tool_history
450,802
What next_action was recorded for tool-result record T0000009-1750?
T0000009-1750
train-00000009
train
9be5c17096738f99ed21f065567e1ce8a64962e757938e5221d47a68ab412ab1
rerun_probe_QUARTZ-5598
17c1b0d8785e341f
[ 114757 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000010-9307\",\"status\":\"complete\",\"next_action\":\"rerun_probe_VECTOR-4455\",\"loss\":1.8766}\n" ]
agentic_tool_history
342,651
What next_action was recorded for tool-result record T0000010-9307?
T0000010-9307
train-00000010
train
90cd12b80d9853597bd713aba7736a36037357beca6cc70accc9beb34aea6708
rerun_probe_VECTOR-4455
6e46599915d8dd31
[ 182022, 940109 ]
[ "\nMEMORY_RECORD T0000011-1121 bridge=BRIDGE-82162 path=src/adapter/case_525.py\n", "\nMEMORY_BRIDGE BRIDGE-82162 final_value=ORCHID-2455 validation_loss=1.5185\n" ]
multi_hop_memory
699,485
Use the bridge in record T0000011-1121. What final_value is attached to that bridge?
T0000011-1121
train-00000011
train
ea64f9a6eab7458f76bafbca120bf241ea04c953a8c6c07fe9bdf8e7926dae6a
ORCHID-2455
c5010da3cd35dc77
[ 117885 ]
[ "\n<|dabe_path|> src/adapter/case_640.py\nMEMORY_RECORD T0000012-6538 owner=ORCHID-2303 failing_test=test_95\n" ]
code_repo_memory
5,144
For repo memory record T0000012-6538, which file path was associated with owner ORCHID-2303?
T0000012-6538
train-00000012
train
3cb5c737e8d8fe4a7a20e4fe3216aba197064b0e4395f343a8de7a5b90c61c92
src/adapter/case_640.py
796265e118aae1bb
[ 87542 ]
[ "\nMEMORY_RECORD T0000013-8126 exact_value=\"EMBER-4040\" exact_path=\"src/memory/case_610.py\"\n" ]
exact_needle
901,192
What is the exact_value for memory record T0000013-8126?
T0000013-8126
train-00000013
train
6a51f94939582c3445d44e7e6248608206476104690fef86b40d15ce8d5f896f
EMBER-4040
5d9f28814a3644b9
[ 34275 ]
[ "\nMEMORY_RECORD T0000014-3436 claim=\"LUMEN-4536 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
305,924
What compression label was chosen in clean knowledge record T0000014-3436?
T0000014-3436
train-00000014
train
a5dca5b12d6f11812ceb1874f1369d04e7ab31c7f325de9ba5d27608fb4efcee
LUMEN-4536
0d169f1bbb7be1e0
[ 175618 ]
[ "\n<|dabe_path|> src/router/case_545.py\nMEMORY_RECORD T0000015-3864 owner=LUMEN-9814 failing_test=test_56\n" ]
code_repo_memory
358,638
For repo memory record T0000015-3864, which file path was associated with owner LUMEN-9814?
T0000015-3864
train-00000015
train
df4dfc8a52882ebfdfb66a556f1de188ab4c4e12e6dce4a31f3e1a8e0016ed85
src/router/case_545.py
9a9e930448deebf0
[ 868666 ]
[ "\n<|dabe_path|> src/router/case_602.py\nMEMORY_RECORD T0000016-3170 owner=VECTOR-1708 failing_test=test_17\n" ]
code_repo_memory
844,637
For repo memory record T0000016-3170, which file path was associated with owner VECTOR-1708?
T0000016-3170
train-00000016
train
9ec6dace3e515dc1244890cb97c462bb16e81e2e33505dfb1f95d5c24b9c182e
src/router/case_602.py
0d169f1bbb7be1e0
[ 420525 ]
[ "\nMEMORY_RECORD T0000017-7418 allowed_action=ask_for_confirmation blocked_action=delete_logs marker=LUMEN-2971\n" ]
negative_boundary
776,474
For boundary record T0000017-7418, should the assistant delete logs or ask for confirmation?
T0000017-7418
train-00000017
train
5dc3039ec925d7951379a12fd8215d770bb2f2d0371dc47c7266a8dee8503142
ask_for_confirmation
eea00407b6889681
[ 170408 ]
[ "\n<|dabe_path|> src/adapter/case_347.py\nMEMORY_RECORD T0000018-1904 owner=EMBER-2885 failing_test=test_18\n" ]
code_repo_memory
237,576
For repo memory record T0000018-1904, which file path was associated with owner EMBER-2885?
T0000018-1904
train-00000018
train
ed36a10b0608a3a1ba91168526ee8c9f102c2a191d6cd4ec32ee179eec22615b
src/adapter/case_347.py
2712eada371861d3
[ 22516 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000019-8136\",\"status\":\"complete\",\"next_action\":\"rerun_probe_LUMEN-9604\",\"loss\":1.7461}\n" ]
agentic_tool_history
625,164
What next_action was recorded for tool-result record T0000019-8136?
T0000019-8136
train-00000019
train
85ad356033d1d4e80033fa56754991ed800abe906f3890946fd1ae802e208896
rerun_probe_LUMEN-9604
daef93b08e71a432
[ 633126, 908775 ]
[ "\nMEMORY_RECORD T0000020-3710 bridge=BRIDGE-62821 path=src/adapter/case_410.py\n", "\nMEMORY_BRIDGE BRIDGE-62821 final_value=LUMEN-3176 validation_loss=0.7581\n" ]
multi_hop_memory
948,268
Use the bridge in record T0000020-3710. What final_value is attached to that bridge?
T0000020-3710
train-00000020
train
ee5f7c0d860544be89b8b5259e11275d4b2781660d285776b10a4cf2593dd5d7
LUMEN-3176
6e46599915d8dd31
[ 152916, 871263 ]
[ "\nMEMORY_RECORD T0000021-6002 bridge=BRIDGE-22713 path=src/eval/case_763.py\n", "\nMEMORY_BRIDGE BRIDGE-22713 final_value=QUARTZ-5363 validation_loss=1.0928\n" ]
multi_hop_memory
808,834
Use the bridge in record T0000021-6002. What final_value is attached to that bridge?
T0000021-6002
train-00000021
train
19c69d4772fa1f924b01e5f4b37abbcbd879bfcd405e6706e8b624abfb28a4e7
QUARTZ-5363
daef93b08e71a432
[ 448066 ]
[ "\nMEMORY_RECORD T0000022-7094 claim=\"QUARTZ-3631 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
832,367
What compression label was chosen in clean knowledge record T0000022-7094?
T0000022-7094
train-00000022
train
646da7fb60769c1959804302cc0f47ea79e3c8061ce853e1e28e34916021f5ca
QUARTZ-3631
5d9f28814a3644b9
[ 570508 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000023-4658\",\"status\":\"complete\",\"next_action\":\"rerun_probe_QUARTZ-5381\",\"loss\":1.7218}\n" ]
agentic_tool_history
267,491
What next_action was recorded for tool-result record T0000023-4658?
T0000023-4658
train-00000023
train
04a13a91276b82cd17851e7bb0d12597b4369d242920b953a4fe0052e03a93a4
rerun_probe_QUARTZ-5381
7f9beed8895716e0
[ 384200, 836189 ]
[ "\nMEMORY_RECORD T0000024-8653 bridge=BRIDGE-49062 path=src/eval/case_915.py\n", "\nMEMORY_BRIDGE BRIDGE-49062 final_value=EMBER-3163 validation_loss=0.7778\n" ]
multi_hop_memory
915,116
Use the bridge in record T0000024-8653. What final_value is attached to that bridge?
T0000024-8653
train-00000024
train
f1b875583b4945f67becc9953f520c542328997722800bb4c8093c0deb6a7336
EMBER-3163
e57425abe40e81b2
[ 848383 ]
[ "\n<|dabe_path|> src/router/case_251.py\nMEMORY_RECORD T0000025-6183 owner=VECTOR-7961 failing_test=test_70\n" ]
code_repo_memory
158,733
For repo memory record T0000025-6183, which file path was associated with owner VECTOR-7961?
T0000025-6183
train-00000025
train
22852417a3bd0eeadcc2d8426d3a92208dc0e67bddc0163074b0fbbf4b4583f6
src/router/case_251.py
d852620734043d1f
[ 436680 ]
[ "\nMEMORY_RECORD T0000026-1358 exact_value=\"EMBER-5864\" exact_path=\"src/router/case_581.py\"\n" ]
exact_needle
58,802
What is the exact_value for memory record T0000026-1358?
T0000026-1358
train-00000026
train
435fc2b7381945f047f1fa3e719de0816aa64238d8f67f12da827d91db75e61c
EMBER-5864
2f94bfed02ade28c
[ 157771 ]
[ "\nMEMORY_RECORD T0000027-8492 exact_value=\"LUMEN-9204\" exact_path=\"src/router/case_307.py\"\n" ]
exact_needle
796,737
What is the exact_value for memory record T0000027-8492?
T0000027-8492
train-00000027
train
67d36f5248b83f5d6c2d01667ea2a443b429e5d62133b5124ec0a0cc44a70348
LUMEN-9204
878f5e4a7fe25b60
[ 122967, 864720 ]
[ "\nMEMORY_RECORD T0000028-7365 bridge=BRIDGE-43015 path=src/router/case_866.py\n", "\nMEMORY_BRIDGE BRIDGE-43015 final_value=EMBER-4003 validation_loss=2.3623\n" ]
multi_hop_memory
996,518
Use the bridge in record T0000028-7365. What final_value is attached to that bridge?
T0000028-7365
train-00000028
train
d796ab16c7403bd6098cc63780de25350de7f3eae6908872aa94a273693b63a0
EMBER-4003
2f94bfed02ade28c
[ 439619 ]
[ "\nMEMORY_RECORD T0000029-9593 claim=\"ORCHID-1323 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
258,591
What compression label was chosen in clean knowledge record T0000029-9593?
T0000029-9593
train-00000029
train
62f8dff1c24e1d338996325c8d50d54ba1ba261e9d34bedc030444291379db73
ORCHID-1323
b6fc42ec99b1ef73
[ 543196 ]
[ "\nMEMORY_RECORD T0000030-3104 exact_value=\"VECTOR-3083\" exact_path=\"src/router/case_801.py\"\n" ]
exact_needle
88,024
What is the exact_value for memory record T0000030-3104?
T0000030-3104
train-00000030
train
ed22c46629c57b214f09d94c60e2cc7d24ca74287ccd830374a27772f8f7a6fd
VECTOR-3083
005f629fa587e6da
[ 616633, 825111 ]
[ "\nMEMORY_RECORD T0000031-9182 bridge=BRIDGE-88324 path=src/memory/case_880.py\n", "\nMEMORY_BRIDGE BRIDGE-88324 final_value=VECTOR-4824 validation_loss=1.504\n" ]
multi_hop_memory
802,292
Use the bridge in record T0000031-9182. What final_value is attached to that bridge?
T0000031-9182
train-00000031
train
491369c40276780de0c6e3c14a21881e2baf8eb539662146a013b0bc7aa113dd
VECTOR-4824
9f7c1c322a421a02
[ 367938 ]
[ "\n<|dabe_path|> src/router/case_151.py\nMEMORY_RECORD T0000032-8160 owner=EMBER-4944 failing_test=test_57\n" ]
code_repo_memory
598,821
For repo memory record T0000032-8160, which file path was associated with owner EMBER-4944?
T0000032-8160
train-00000032
train
8d3eb930db3924b7815e879307ae5ca9beb2854f3725b9f7f312f0edf6ca6278
src/router/case_151.py
17c1b0d8785e341f
[ 854197 ]
[ "\n<|dabe_path|> src/eval/case_597.py\nMEMORY_RECORD T0000033-7828 owner=ORCHID-6371 failing_test=test_72\n" ]
code_repo_memory
827,439
For repo memory record T0000033-7828, which file path was associated with owner ORCHID-6371?
T0000033-7828
train-00000033
train
d7c34e321f9a7186b369583768a9af20352242ceaeace1af0ed2d4c9577f3912
src/eval/case_597.py
1ce3b61a30a5de1b
[ 467128 ]
[ "\n<|dabe_path|> src/memory/case_427.py\nMEMORY_RECORD T0000034-6080 owner=VECTOR-3185 failing_test=test_76\n" ]
code_repo_memory
502,702
For repo memory record T0000034-6080, which file path was associated with owner VECTOR-3185?
T0000034-6080
train-00000034
train
29ed1dd666960f75e67baec410c087bb5c1b699be804976d34e88fc657d66c0f
src/memory/case_427.py
bab713d5c910a3e2
[ 71802 ]
[ "\nMEMORY_RECORD T0000035-4395 claim=\"QUARTZ-4284 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
519,415
What compression label was chosen in clean knowledge record T0000035-4395?
T0000035-4395
train-00000035
train
f9841a2c56a198e92f2fa3402e4b903ac3c2645620f66ed25f41e462f0e36b9c
QUARTZ-4284
01243190f5123cc6
[ 76421, 1004477 ]
[ "\nMEMORY_RECORD T0000036-6534 bridge=BRIDGE-34125 path=src/adapter/case_535.py\n", "\nMEMORY_BRIDGE BRIDGE-34125 final_value=VECTOR-6960 validation_loss=0.8923\n" ]
multi_hop_memory
907,208
Use the bridge in record T0000036-6534. What final_value is attached to that bridge?
T0000036-6534
train-00000036
train
d33008d01aa4d731428d97471145f044e8aad2e1b63f57d8fd214b276e107f6e
VECTOR-6960
8bebe700b60cc612
[ 115230 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000037-5051\",\"status\":\"complete\",\"next_action\":\"rerun_probe_EMBER-9131\",\"loss\":1.3936}\n" ]
agentic_tool_history
446,947
What next_action was recorded for tool-result record T0000037-5051?
T0000037-5051
train-00000037
train
e646a448fc06459017cda2a24a4f7210f3345392f983214b5e94d36e3c4c6408
rerun_probe_EMBER-9131
21f734b2cea19c6a
[ 82168 ]
[ "\nMEMORY_RECORD T0000038-3712 claim=\"EMBER-7405 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
273,567
What compression label was chosen in clean knowledge record T0000038-3712?
T0000038-3712
train-00000038
train
6332a81748f08176736e20c792a0dd674709f18cc95c53b6050de0a24f79f7f9
EMBER-7405
e61065338fe8ea0c
[ 484393 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000039-7696\",\"status\":\"complete\",\"next_action\":\"rerun_probe_QUARTZ-1574\",\"loss\":2.6282}\n" ]
agentic_tool_history
279,537
What next_action was recorded for tool-result record T0000039-7696?
T0000039-7696
train-00000039
train
79ffe9e11347f9d7a276ebbe3d306dde5b6d20a8d24ec24435d49362d1845c5d
rerun_probe_QUARTZ-1574
17379d702e4532c5
[ 436687 ]
[ "\nMEMORY_RECORD T0000040-3840 allowed_action=ask_for_confirmation blocked_action=delete_logs marker=QUARTZ-9206\n" ]
negative_boundary
36,249
For boundary record T0000040-3840, should the assistant delete logs or ask for confirmation?
T0000040-3840
train-00000040
train
5dc3039ec925d7951379a12fd8215d770bb2f2d0371dc47c7266a8dee8503142
ask_for_confirmation
21f734b2cea19c6a
[ 485693 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000041-8273\",\"status\":\"complete\",\"next_action\":\"rerun_probe_LUMEN-3926\",\"loss\":2.5693}\n" ]
agentic_tool_history
944,932
What next_action was recorded for tool-result record T0000041-8273?
T0000041-8273
train-00000041
train
2427a40aa31c0dba7464fd5c7278d58b8b7c68e31e71259fe407625b4fe27ed3
rerun_probe_LUMEN-3926
796265e118aae1bb
[ 505937, 981475 ]
[ "\nMEMORY_RECORD T0000042-5379 bridge=BRIDGE-41993 path=src/eval/case_631.py\n", "\nMEMORY_BRIDGE BRIDGE-41993 final_value=EMBER-1961 validation_loss=1.6337\n" ]
multi_hop_memory
685,378
Use the bridge in record T0000042-5379. What final_value is attached to that bridge?
T0000042-5379
train-00000042
train
a1e2e93e2529a54f45e786639aef89b2488908d4710b73723ae1afadedbb7de0
EMBER-1961
7f9beed8895716e0
[ 456795, 979104 ]
[ "\nMEMORY_RECORD T0000043-8313 bridge=BRIDGE-30387 path=src/memory/case_219.py\n", "\nMEMORY_BRIDGE BRIDGE-30387 final_value=ORCHID-2158 validation_loss=1.1764\n" ]
multi_hop_memory
240,026
Use the bridge in record T0000043-8313. What final_value is attached to that bridge?
T0000043-8313
train-00000043
train
76ab9e65bb7fa9052f2c1f4dc8c1a0b4921069ec603980b308f87dd87188d4b3
ORCHID-2158
e7f1239e7b27fe0a
[ 63690 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000044-2776\",\"status\":\"complete\",\"next_action\":\"rerun_probe_EMBER-5519\",\"loss\":1.1871}\n" ]
agentic_tool_history
68,295
What next_action was recorded for tool-result record T0000044-2776?
T0000044-2776
train-00000044
train
2ccd71fab8317b27d22c93159e6ab791f3eaffcec0250b711f3fad153a824841
rerun_probe_EMBER-5519
5fdb67311fe973b2
[ 833755 ]
[ "\n<|dabe_path|> src/eval/case_751.py\nMEMORY_RECORD T0000045-5694 owner=EMBER-9586 failing_test=test_85\n" ]
code_repo_memory
177,285
For repo memory record T0000045-5694, which file path was associated with owner EMBER-9586?
T0000045-5694
train-00000045
train
835630d184bb48490ce0e7148bc9ecb4435e434934cc0d3bbfc0ce5ac9b7f456
src/eval/case_751.py
21f734b2cea19c6a
[ 28522, 856336 ]
[ "\nMEMORY_RECORD T0000046-1102 bridge=BRIDGE-97254 path=src/adapter/case_678.py\n", "\nMEMORY_BRIDGE BRIDGE-97254 final_value=VECTOR-5337 validation_loss=1.1862\n" ]
multi_hop_memory
431,393
Use the bridge in record T0000046-1102. What final_value is attached to that bridge?
T0000046-1102
train-00000046
train
7837be1e8316afd0a34e4bed617dca6e26e4dbf38af5c820256b1b1a166e372c
VECTOR-5337
e54d4bad98428d84
[ 144248 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000047-3198\",\"status\":\"complete\",\"next_action\":\"rerun_probe_LUMEN-7832\",\"loss\":1.1687}\n" ]
agentic_tool_history
329,752
What next_action was recorded for tool-result record T0000047-3198?
T0000047-3198
train-00000047
train
ca9c4778614e80098671fe708f62857a1795f79c9e671c846ed224d845df1718
rerun_probe_LUMEN-7832
c63a259dcc028a72
[ 392435 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000048-7940\",\"status\":\"complete\",\"next_action\":\"rerun_probe_VECTOR-9686\",\"loss\":1.0584}\n" ]
agentic_tool_history
490,629
What next_action was recorded for tool-result record T0000048-7940?
T0000048-7940
train-00000048
train
39b30a0fe2b4815072c2cbd8333609aa68ac72bc81296b3a97ae51f1ae6a4cd4
rerun_probe_VECTOR-9686
796265e118aae1bb
[ 149567 ]
[ "\n<|dabe_path|> src/memory/case_115.py\nMEMORY_RECORD T0000049-2917 owner=VECTOR-4249 failing_test=test_84\n" ]
code_repo_memory
364,508
For repo memory record T0000049-2917, which file path was associated with owner VECTOR-4249?
T0000049-2917
train-00000049
train
0b4633e303cbeac80d72a958935d4eedbc77d404afe2d6a0b6a654bfe6f48304
src/memory/case_115.py
6c692c152c75fbf3
[ 615264 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000050-6011\",\"status\":\"complete\",\"next_action\":\"rerun_probe_QUARTZ-7666\",\"loss\":2.6935}\n" ]
agentic_tool_history
71,881
What next_action was recorded for tool-result record T0000050-6011?
T0000050-6011
train-00000050
train
d539e9e0ca33e2a389cc6aa64be83b9e1e9afc73faf669d688651a62aea4cea5
rerun_probe_QUARTZ-7666
4c1ccce902cc9684
[ 597451 ]
[ "\n<|dabe_path|> src/eval/case_997.py\nMEMORY_RECORD T0000051-1603 owner=VECTOR-7077 failing_test=test_58\n" ]
code_repo_memory
161,057
For repo memory record T0000051-1603, which file path was associated with owner VECTOR-7077?
T0000051-1603
train-00000051
train
71b323c5de0866e127db2bdbe83e678cb6f241c5ed8c1b5865b70491440fd5a0
src/eval/case_997.py
282c16c35154a2ed
[ 423882 ]
[ "\nMEMORY_RECORD T0000052-1710 allowed_action=ask_for_confirmation blocked_action=delete_logs marker=ORCHID-2254\n" ]
negative_boundary
513,071
For boundary record T0000052-1710, should the assistant delete logs or ask for confirmation?
T0000052-1710
train-00000052
train
5dc3039ec925d7951379a12fd8215d770bb2f2d0371dc47c7266a8dee8503142
ask_for_confirmation
ce971f70b71790d3
[ 578284 ]
[ "\n<|dabe_path|> src/adapter/case_857.py\nMEMORY_RECORD T0000053-1268 owner=ORCHID-6692 failing_test=test_44\n" ]
code_repo_memory
355,232
For repo memory record T0000053-1268, which file path was associated with owner ORCHID-6692?
T0000053-1268
train-00000053
train
b0cf1f69d30c34175707dccd5dd8c6bdd4ef5813b23b9f67f0e2b5bda657418d
src/adapter/case_857.py
e61065338fe8ea0c
[ 936691 ]
[ "\nMEMORY_RECORD T0000054-1841 exact_value=\"VECTOR-7375\" exact_path=\"src/adapter/case_868.py\"\n" ]
exact_needle
542,912
What is the exact_value for memory record T0000054-1841?
T0000054-1841
train-00000054
train
e75689851f74c46b16b87df15ee944eb0c518649670d88cf077130bf66ba7514
VECTOR-7375
6727a404be3a3704
[ 851726 ]
[ "\nMEMORY_RECORD T0000055-2347 exact_value=\"LUMEN-2865\" exact_path=\"src/router/case_296.py\"\n" ]
exact_needle
686,989
What is the exact_value for memory record T0000055-2347?
T0000055-2347
train-00000055
train
f1ecac8b4234b7f881a03f98a79ddfc098554fa8c43cf78637e981af95219aa1
LUMEN-2865
8c55b29de0d72d8f
[ 127510, 884618 ]
[ "\nMEMORY_RECORD T0000056-7280 bridge=BRIDGE-17103 path=src/memory/case_395.py\n", "\nMEMORY_BRIDGE BRIDGE-17103 final_value=LUMEN-5145 validation_loss=1.0454\n" ]
multi_hop_memory
184,700
Use the bridge in record T0000056-7280. What final_value is attached to that bridge?
T0000056-7280
train-00000056
train
3d175b31e0365f837198d006be3b328c7d47b6a42923dea0edb5ad20737e4e4a
LUMEN-5145
8c55b29de0d72d8f
[ 545136, 865637 ]
[ "\nMEMORY_RECORD T0000057-9721 bridge=BRIDGE-40606 path=src/eval/case_483.py\n", "\nMEMORY_BRIDGE BRIDGE-40606 final_value=VECTOR-4121 validation_loss=0.4191\n" ]
multi_hop_memory
64,507
Use the bridge in record T0000057-9721. What final_value is attached to that bridge?
T0000057-9721
train-00000057
train
bcf2a066eb34198483e80e8d07eab600d069e2f865ae1f816f5d6ffcf211cc4b
VECTOR-4121
21f734b2cea19c6a
[ 396469 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000058-9900\",\"status\":\"complete\",\"next_action\":\"rerun_probe_QUARTZ-2860\",\"loss\":2.4153}\n" ]
agentic_tool_history
220,675
What next_action was recorded for tool-result record T0000058-9900?
T0000058-9900
train-00000058
train
6c420d317c9431a46d152770fb09dd3712ef4846d27a0a1f35c8b77b2de3a5d6
rerun_probe_QUARTZ-2860
a3594bb7f49c0b25
[ 150129, 897927 ]
[ "\nMEMORY_RECORD T0000059-5470 bridge=BRIDGE-96258 path=src/router/case_731.py\n", "\nMEMORY_BRIDGE BRIDGE-96258 final_value=ORCHID-3456 validation_loss=0.926\n" ]
multi_hop_memory
930,331
Use the bridge in record T0000059-5470. What final_value is attached to that bridge?
T0000059-5470
train-00000059
train
994fbcc570a1165454ca14e44d7ef6ca1c0ed38b7d9656f383ce0374f3f3e75a
ORCHID-3456
77990f9f02283e98
[ 638498, 876620 ]
[ "\nMEMORY_RECORD T0000060-5587 bridge=BRIDGE-97250 path=src/adapter/case_912.py\n", "\nMEMORY_BRIDGE BRIDGE-97250 final_value=EMBER-1436 validation_loss=1.6146\n" ]
multi_hop_memory
129,900
Use the bridge in record T0000060-5587. What final_value is attached to that bridge?
T0000060-5587
train-00000060
train
9e8341e966de41fbddc3b7063bfd96492e0b2ffeaa5a908ac8475f85c5d86553
EMBER-1436
e7f1239e7b27fe0a
[ 432393 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000061-5283\",\"status\":\"complete\",\"next_action\":\"rerun_probe_QUARTZ-6410\",\"loss\":1.2503}\n" ]
agentic_tool_history
331,326
What next_action was recorded for tool-result record T0000061-5283?
T0000061-5283
train-00000061
train
2d491760ec13f1f4bee735e53d8441e0cbba9845cd4b1c918bc8422bca6f86a5
rerun_probe_QUARTZ-6410
b3250cde649c6f30
[ 636938 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000062-1387\",\"status\":\"complete\",\"next_action\":\"rerun_probe_QUARTZ-1423\",\"loss\":2.3123}\n" ]
agentic_tool_history
689,240
What next_action was recorded for tool-result record T0000062-1387?
T0000062-1387
train-00000062
train
e16fe3c574de780687cba9760686d399c9778da0d05fd9a93074d87a55cdc663
rerun_probe_QUARTZ-1423
7f9beed8895716e0
[ 828375 ]
[ "\n<|dabe_path|> src/adapter/case_612.py\nMEMORY_RECORD T0000063-9867 owner=VECTOR-9552 failing_test=test_82\n" ]
code_repo_memory
561,042
For repo memory record T0000063-9867, which file path was associated with owner VECTOR-9552?
T0000063-9867
train-00000063
train
e99dab103ff236e7ee4ae8930d9f8a80a481919c2ae51a2138dd6d71f5e59a74
src/adapter/case_612.py
5d9f28814a3644b9
[ 30751, 867369 ]
[ "\nMEMORY_RECORD T0000064-2736 bridge=BRIDGE-88176 path=src/adapter/case_508.py\n", "\nMEMORY_BRIDGE BRIDGE-88176 final_value=LUMEN-4143 validation_loss=2.5393\n" ]
multi_hop_memory
517,532
Use the bridge in record T0000064-2736. What final_value is attached to that bridge?
T0000064-2736
train-00000064
train
7c38ef50afacf4e93b217d64513d15bc18caaa01c2acf0111fe3987c9b63fe16
LUMEN-4143
daef93b08e71a432
[ 822505 ]
[ "\n<|dabe_path|> src/eval/case_250.py\nMEMORY_RECORD T0000065-3264 owner=VECTOR-5586 failing_test=test_63\n" ]
code_repo_memory
636,662
For repo memory record T0000065-3264, which file path was associated with owner VECTOR-5586?
T0000065-3264
train-00000065
train
0267968d91c662771e0d8bff4fe53478d836a0aad8af5a99d245ab025a7eda4d
src/eval/case_250.py
4c1ccce902cc9684
[ 168931 ]
[ "\nMEMORY_RECORD T0000066-7082 exact_value=\"LUMEN-5554\" exact_path=\"src/router/case_994.py\"\n" ]
exact_needle
631,915
What is the exact_value for memory record T0000066-7082?
T0000066-7082
train-00000066
train
0e7d463362d8780d8c9190d25f126ded801867059e4ea234c10ebc4701127a7e
LUMEN-5554
1ce3b61a30a5de1b
[ 566234 ]
[ "\nMEMORY_RECORD T0000067-8817 allowed_action=ask_for_confirmation blocked_action=delete_logs marker=VECTOR-8747\n" ]
negative_boundary
188,340
For boundary record T0000067-8817, should the assistant delete logs or ask for confirmation?
T0000067-8817
train-00000067
train
5dc3039ec925d7951379a12fd8215d770bb2f2d0371dc47c7266a8dee8503142
ask_for_confirmation
e7f1239e7b27fe0a
[ 114829, 919259 ]
[ "\nMEMORY_RECORD T0000068-6463 bridge=BRIDGE-82634 path=src/eval/case_279.py\n", "\nMEMORY_BRIDGE BRIDGE-82634 final_value=VECTOR-4584 validation_loss=1.3778\n" ]
multi_hop_memory
916,178
Use the bridge in record T0000068-6463. What final_value is attached to that bridge?
T0000068-6463
train-00000068
train
544940dd07e89b5b5bb4b6c7045a094337ace3c2b65000b0ef90db1a6c803403
VECTOR-4584
e8354644e21290c9
[ 602819 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000069-4556\",\"status\":\"complete\",\"next_action\":\"rerun_probe_ORCHID-8510\",\"loss\":2.0951}\n" ]
agentic_tool_history
872,392
What next_action was recorded for tool-result record T0000069-4556?
T0000069-4556
train-00000069
train
2fc8f77a8bc7dceffb24cc88d96480deeedc7708c7e394df19c3e7b83c8e1fc4
rerun_probe_ORCHID-8510
2f0affd437739796
[ 421595 ]
[ "\nMEMORY_RECORD T0000070-5549 exact_value=\"ORCHID-9654\" exact_path=\"src/router/case_504.py\"\n" ]
exact_needle
138,420
What is the exact_value for memory record T0000070-5549?
T0000070-5549
train-00000070
train
9161783725b90e6f5f4c638409cda6e142c225b469cf90a2658ac4b8445a5bf0
ORCHID-9654
4c1ccce902cc9684
[ 140280, 838309 ]
[ "\nMEMORY_RECORD T0000071-7936 bridge=BRIDGE-89401 path=src/memory/case_340.py\n", "\nMEMORY_BRIDGE BRIDGE-89401 final_value=EMBER-6302 validation_loss=2.1794\n" ]
multi_hop_memory
399,115
Use the bridge in record T0000071-7936. What final_value is attached to that bridge?
T0000071-7936
train-00000071
train
ff18edc073fec364e10f7f9c6038d47d0feba10d05b7604bc1feda88b5184d2a
EMBER-6302
b6fc42ec99b1ef73
[ 169936 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000072-9784\",\"status\":\"complete\",\"next_action\":\"rerun_probe_LUMEN-5881\",\"loss\":2.3883}\n" ]
agentic_tool_history
99,801
What next_action was recorded for tool-result record T0000072-9784?
T0000072-9784
train-00000072
train
2d4ece851643658a95e7d1ade56a8866df7efd9e024b9a6aae322c383ff9e1e3
rerun_probe_LUMEN-5881
77990f9f02283e98
[ 606130, 882899 ]
[ "\nMEMORY_RECORD T0000073-4820 bridge=BRIDGE-84772 path=src/router/case_163.py\n", "\nMEMORY_BRIDGE BRIDGE-84772 final_value=VECTOR-1590 validation_loss=2.5701\n" ]
multi_hop_memory
11,161
Use the bridge in record T0000073-4820. What final_value is attached to that bridge?
T0000073-4820
train-00000073
train
39106d5cf881db1d522386fb1221fa54de69110682d570b86a707f6b0e3b0d1e
VECTOR-1590
14d8bf1e9a5a93ce
[ 891446 ]
[ "\n<|dabe_path|> src/adapter/case_670.py\nMEMORY_RECORD T0000074-7674 owner=QUARTZ-8980 failing_test=test_45\n" ]
code_repo_memory
613,561
For repo memory record T0000074-7674, which file path was associated with owner QUARTZ-8980?
T0000074-7674
train-00000074
train
a6b307f628673aa1db63699dc027d54b1e77e5f54c981e4a9ebd0ae76dc17bc4
src/adapter/case_670.py
9f7c1c322a421a02
[ 142957 ]
[ "\n<|dabe_path|> src/router/case_929.py\nMEMORY_RECORD T0000075-8053 owner=LUMEN-5794 failing_test=test_94\n" ]
code_repo_memory
679,600
For repo memory record T0000075-8053, which file path was associated with owner LUMEN-5794?
T0000075-8053
train-00000075
train
616392ff6f311aa2250616476cd77d9c6617478eac9f1a72d839e66daddcba72
src/router/case_929.py
ce971f70b71790d3
[ 130844 ]
[ "\nMEMORY_RECORD T0000076-1093 exact_value=\"QUARTZ-5511\" exact_path=\"src/adapter/case_152.py\"\n" ]
exact_needle
877,966
What is the exact_value for memory record T0000076-1093?
T0000076-1093
train-00000076
train
8f2920cbed6a9e92bb533da27f5df31db313734be8e395a82ce74ea0bcdf90ee
QUARTZ-5511
8bebe700b60cc612
[ 849182 ]
[ "\n<|dabe_path|> src/adapter/case_379.py\nMEMORY_RECORD T0000077-8116 owner=LUMEN-3512 failing_test=test_97\n" ]
code_repo_memory
761,454
For repo memory record T0000077-8116, which file path was associated with owner LUMEN-3512?
T0000077-8116
train-00000077
train
d9c378371c036b96dbd726afca13a94e489d42e60de6a8e73cd504c5930bb961
src/adapter/case_379.py
daef93b08e71a432
[ 585681, 992754 ]
[ "\nMEMORY_RECORD T0000078-8725 bridge=BRIDGE-31487 path=src/eval/case_368.py\n", "\nMEMORY_BRIDGE BRIDGE-31487 final_value=EMBER-6051 validation_loss=1.286\n" ]
multi_hop_memory
653,876
Use the bridge in record T0000078-8725. What final_value is attached to that bridge?
T0000078-8725
train-00000078
train
ec473a2716005368a0d32af3e2e2b6866878b0dbb04f9e96ffbf18770ddf2721
EMBER-6051
a3594bb7f49c0b25
[ 526113 ]
[ "\nMEMORY_RECORD T0000079-6655 claim=\"VECTOR-8690 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
655,384
What compression label was chosen in clean knowledge record T0000079-6655?
T0000079-6655
train-00000079
train
e55497aee302785d76ce555051fbaedf0fa8b2fb1c3adcf1e0bac7bdb08b12f9
VECTOR-8690
5667ea6421f8c1d8
[ 113368, 974445 ]
[ "\nMEMORY_RECORD T0000080-1204 bridge=BRIDGE-99493 path=src/memory/case_446.py\n", "\nMEMORY_BRIDGE BRIDGE-99493 final_value=ORCHID-2939 validation_loss=2.0782\n" ]
multi_hop_memory
853,078
Use the bridge in record T0000080-1204. What final_value is attached to that bridge?
T0000080-1204
train-00000080
train
c56c31d1e86ac3ee5a9caaac1281cc9072f73eccc13daa11e01832ad61d681d9
ORCHID-2939
934d1ff2f7871ff0
[ 601875 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000081-1485\",\"status\":\"complete\",\"next_action\":\"rerun_probe_QUARTZ-7027\",\"loss\":2.0066}\n" ]
agentic_tool_history
321,503
What next_action was recorded for tool-result record T0000081-1485?
T0000081-1485
train-00000081
train
d8340eea6996c1dcaaa5b7df21a5d6fe3949dd0dae25d7f279dcbc345ec49a86
rerun_probe_QUARTZ-7027
2f0affd437739796
[ 84095 ]
[ "\nMEMORY_RECORD T0000082-6532 exact_value=\"QUARTZ-1258\" exact_path=\"src/eval/case_768.py\"\n" ]
exact_needle
171,313
What is the exact_value for memory record T0000082-6532?
T0000082-6532
train-00000082
train
3c11cf001f933eb19f6f7fde3d46571018bffe41db8b36a81477006309b17126
QUARTZ-1258
09a43c387e02d9d1
[ 49549 ]
[ "\nMEMORY_RECORD T0000083-6910 allowed_action=ask_for_confirmation blocked_action=delete_logs marker=QUARTZ-4922\n" ]
negative_boundary
59,967
For boundary record T0000083-6910, should the assistant delete logs or ask for confirmation?
T0000083-6910
train-00000083
train
5dc3039ec925d7951379a12fd8215d770bb2f2d0371dc47c7266a8dee8503142
ask_for_confirmation
0d169f1bbb7be1e0
[ 39007 ]
[ "\nMEMORY_RECORD T0000084-4979 claim=\"EMBER-1001 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
302,009
What compression label was chosen in clean knowledge record T0000084-4979?
T0000084-4979
train-00000084
train
f8002b126feb9ccaf60a4d70b6b1de2d2b2c4e3abc192d98338a69ef736cbd9b
EMBER-1001
9a9e930448deebf0
[ 605667, 837595 ]
[ "\nMEMORY_RECORD T0000085-5059 bridge=BRIDGE-51355 path=src/router/case_781.py\n", "\nMEMORY_BRIDGE BRIDGE-51355 final_value=EMBER-7501 validation_loss=0.8239\n" ]
multi_hop_memory
664,968
Use the bridge in record T0000085-5059. What final_value is attached to that bridge?
T0000085-5059
train-00000085
train
f49b6f5d82ee8526ee339ca02392070296d60d5d53ea897885203f7d83214c79
EMBER-7501
878f5e4a7fe25b60
[ 448129 ]
[ "\n<|dabe_tool_result|>\n{\"record_id\":\"T0000086-9790\",\"status\":\"complete\",\"next_action\":\"rerun_probe_EMBER-1832\",\"loss\":0.5629}\n" ]
agentic_tool_history
124,601
What next_action was recorded for tool-result record T0000086-9790?
T0000086-9790
train-00000086
train
b2ebee5499841de7c60179dde167a6181c413c6c71746f91a82e000ef0f24ad8
rerun_probe_EMBER-1832
393477883502a8f3
[ 483157, 884825 ]
[ "\nMEMORY_RECORD T0000087-3840 bridge=BRIDGE-76871 path=src/eval/case_368.py\n", "\nMEMORY_BRIDGE BRIDGE-76871 final_value=ORCHID-2229 validation_loss=1.9954\n" ]
multi_hop_memory
93,670
Use the bridge in record T0000087-3840. What final_value is attached to that bridge?
T0000087-3840
train-00000087
train
62d741df6d760569d712ed590ffd2af7358dd355796fff11f61f02b487ef2ffc
ORCHID-2229
005f629fa587e6da
[ 478895 ]
[ "\n<|dabe_path|> src/adapter/case_105.py\nMEMORY_RECORD T0000088-5801 owner=LUMEN-9248 failing_test=test_64\n" ]
code_repo_memory
728,295
For repo memory record T0000088-5801, which file path was associated with owner LUMEN-9248?
T0000088-5801
train-00000088
train
cfb775aca3c065b338ceeec2bf0b0fcff8b23198abc15e95b5f7ca1bf1639b87
src/adapter/case_105.py
2712eada371861d3
[ 461103 ]
[ "\nMEMORY_RECORD T0000089-9829 claim=\"VECTOR-6351 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
342,966
What compression label was chosen in clean knowledge record T0000089-9829?
T0000089-9829
train-00000089
train
01e900e690d6052d79cd908fcf219450183e1a52cd823137aa7b2b89ae56ef79
VECTOR-6351
e8354644e21290c9
[ 100681, 891446 ]
[ "\nMEMORY_RECORD T0000090-7586 bridge=BRIDGE-68777 path=src/memory/case_969.py\n", "\nMEMORY_BRIDGE BRIDGE-68777 final_value=ORCHID-7293 validation_loss=1.0596\n" ]
multi_hop_memory
971,535
Use the bridge in record T0000090-7586. What final_value is attached to that bridge?
T0000090-7586
train-00000090
train
f3bd7288d7b8c6a861e6c1831e9e6ce7a0c85491d64a780788861ef10491abed
ORCHID-7293
8c55b29de0d72d8f
[ 130054, 930345 ]
[ "\nMEMORY_RECORD T0000091-9553 bridge=BRIDGE-64660 path=src/memory/case_700.py\n", "\nMEMORY_BRIDGE BRIDGE-64660 final_value=LUMEN-1344 validation_loss=0.8188\n" ]
multi_hop_memory
206,667
Use the bridge in record T0000091-9553. What final_value is attached to that bridge?
T0000091-9553
train-00000091
train
4d866991a0adb7274c23482ec980f340ae0afe8000b285411da040266047e6d2
LUMEN-1344
5d9f28814a3644b9
[ 35169 ]
[ "\nMEMORY_RECORD T0000092-3790 claim=\"VECTOR-1171 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
52,190
What compression label was chosen in clean knowledge record T0000092-3790?
T0000092-3790
train-00000092
train
5859c595e68fb509e6df016465d9c1d26f759c9131f52c6e7a4d5d150e1089bb
VECTOR-1171
282c16c35154a2ed
[ 591996 ]
[ "\nMEMORY_RECORD T0000093-2762 allowed_action=ask_for_confirmation blocked_action=delete_logs marker=VECTOR-2179\n" ]
negative_boundary
811,881
For boundary record T0000093-2762, should the assistant delete logs or ask for confirmation?
T0000093-2762
train-00000093
train
5dc3039ec925d7951379a12fd8215d770bb2f2d0371dc47c7266a8dee8503142
ask_for_confirmation
333500bd2111563f
[ 914519 ]
[ "\nMEMORY_RECORD T0000094-8214 exact_value=\"QUARTZ-4267\" exact_path=\"src/memory/case_456.py\"\n" ]
exact_needle
241,637
What is the exact_value for memory record T0000094-8214?
T0000094-8214
train-00000094
train
42c27c69d0f9e9a2127a18e0e613843f4dd25a81193c2502e0a8288d15af2651
QUARTZ-4267
e7f1239e7b27fe0a
[ 635930 ]
[ "\n<|dabe_path|> src/router/case_498.py\nMEMORY_RECORD T0000095-2142 owner=QUARTZ-6804 failing_test=test_46\n" ]
code_repo_memory
342,040
For repo memory record T0000095-2142, which file path was associated with owner QUARTZ-6804?
T0000095-2142
train-00000095
train
d71d21da17984d36c29d297ace746cd30fdc55a8876f9fda7717bdb923ae44c0
src/router/case_498.py
e57425abe40e81b2
[ 150104 ]
[ "\nMEMORY_RECORD T0000096-9582 allowed_action=ask_for_confirmation blocked_action=delete_logs marker=EMBER-9579\n" ]
negative_boundary
179,254
For boundary record T0000096-9582, should the assistant delete logs or ask for confirmation?
T0000096-9582
train-00000096
train
5dc3039ec925d7951379a12fd8215d770bb2f2d0371dc47c7266a8dee8503142
ask_for_confirmation
393477883502a8f3
[ 113399 ]
[ "\nMEMORY_RECORD T0000097-6544 claim=\"ORCHID-2718 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
609,201
What compression label was chosen in clean knowledge record T0000097-6544?
T0000097-6544
train-00000097
train
28740c130e105356d45bb20d092046b5bacd5bddf81a5553df65d7e69d7eb708
ORCHID-2718
d852620734043d1f
[ 527590 ]
[ "\nMEMORY_RECORD T0000098-3764 claim=\"QUARTZ-9245 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
544,317
What compression label was chosen in clean knowledge record T0000098-3764?
T0000098-3764
train-00000098
train
4e84f38b639abbc3d12b651da188d6ded05eefb1ffaa3228254b370a67e4fdc9
QUARTZ-9245
e61065338fe8ea0c
[ 515631 ]
[ "\nMEMORY_RECORD T0000099-9309 claim=\"LUMEN-7131 is the chosen compression label\" confidence=high\n" ]
clean_knowledge_session
159,453
What compression label was chosen in clean knowledge record T0000099-9309?
T0000099-9309
train-00000099
train
5ae71bf833832254291380520bc4acb3b50244ef40a58d1b51ffe5c8b1442283
LUMEN-7131
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