ARCHIVED TRAINING / mill1000/midea-msmart
mill1000__midea-msmart-93
This is a preserved training example. Membership in the current training wave has not been verified.
Problem statement
Improve temperature sensor resolution Some units are capable of reporting additional temperature sensor precision in byte 15 of the StateResponse message. e.g. ``` Byte 11 12 13 14 15 16 c00188647f7f00 00 00 00 00 63 45 0c 00 56 19 00000000000002 ``` The indoor temperature is the lower nibble, outdoor temperature the upper nibble. Temperature is calculated as `T = Base + X/10` where X is the value in the associated nibble
Training membership
opd_e4b_pure_v6a opd_e4b_pure_v6b opd_e4b_pure_v7 opd_e4b_pure_v7b opd_e4b_self_audit_v4
Task issues extracted from preserved verified_rft_messages training examples. This is not a verified current RL wave manifest.
Task and snapshot provenance
Snapshot captured 2026-11-12T17:06:59.476467+00:00 · Autoresearch-Arena/gemma-4-developer-agent
{
"datasets": [
"opd_e4b_pure_v6a",
"opd_e4b_pure_v6b",
"opd_e4b_pure_v7",
"opd_e4b_pure_v7b",
"opd_e4b_self_audit_v4"
],
"examples": 13,
"instance_id": "mill1000__midea-msmart-93",
"problem_statement": "Improve temperature sensor resolution\nSome units are capable of reporting additional temperature sensor precision in byte 15 of the StateResponse message.\r\n\r\ne.g.\r\n```\r\nByte 11 12 13 14 15 16\r\nc00188647f7f00 00 00 00 00 63 45 0c 00 56 19 00000000000002\r\n```\r\n\r\nThe indoor temperature is the lower nibble, outdoor temperature the upper nibble.\r\n\r\nTemperature is calculated as `T = Base + X/10` where X is the value in the associated nibble",
"repo": "mill1000/midea-msmart",
"source": "v2/experiments/train_data/opd_e4b_pure_v6a/verified_rft_messages.jsonl",
"source_sha256": "f045b7ca5b3883a1e2eaee81e1c02a4a1b53dd7b7b36e98bacb2ba5823a15148"
}{
"captured_at": "2026-11-12T17:06:59.476467+00:00",
"membership": "archived training",
"membership_evidence": "Task issues extracted from preserved verified_rft_messages training examples. This is not a verified current RL wave manifest.",
"name": "Preserved post-training task archive",
"source": "Autoresearch-Arena/gemma-4-developer-agent",
"source_revision": "016496de222aaafca0d4ee4c18efc63ba616f76e",
"sources": [
{
"path": "v2/experiments/train_data/opd_e4b_cispo_v5/verified_rft_messages.jsonl",
"sha256": "a43610ad0dfb6ace95375cfae09000f41afc0338cc925af870a4ade7a9b20c4c"
},
{
"path": "v2/experiments/train_data/opd_e4b_hybrid_v3/verified_rft_messages.jsonl",
"sha256": "bd326303eb127e8e5e08f03daf97bb88d79d19709d59f3f93f348bc56686a8df"
},
{
"path": "v2/experiments/train_data/opd_e4b_onpolicy_v3/verified_rft_messages.jsonl",
"sha256": "960c680e797e823a0d3a22f4b1d5ef60a72971373d703b877340b0c9126aaf68"
},
{
"path": "v2/experiments/train_data/opd_e4b_pure_v6a/verified_rft_messages.jsonl",
"sha256": "f045b7ca5b3883a1e2eaee81e1c02a4a1b53dd7b7b36e98bacb2ba5823a15148"
},
{
"path": "v2/experiments/train_data/opd_e4b_pure_v6b/verified_rft_messages.jsonl",
"sha256": "0f62460a9706eea5e1605255896f191ab00cb5706c5f1f2e1c293e9a718218dc"
},
{
"path": "v2/experiments/train_data/opd_e4b_pure_v7/verified_rft_messages.jsonl",
"sha256": "e37f7bd675322f3f81500b73559d60d5f602ca0537bf19f5cb06332c728c7b72"
},
{
"path": "v2/experiments/train_data/opd_e4b_pure_v7b/verified_rft_messages.jsonl",
"sha256": "b864bdc8695183433eef6e31cb8d33fad44ba3aded2170c1ade4ad5b2944ce23"
},
{
"path": "v2/experiments/train_data/opd_e4b_self_audit_v4/verified_rft_messages.jsonl",
"sha256": "0026023745afb8f3dc1c176dc7f7171157b4ad5a66656b524af218e8e19ceee6"
},
{
"path": "v2/experiments/train_data/rft_e4b_aligned_v2/verified_rft_messages.jsonl",
"sha256": "92a4515fee9d152b0d4c510ee3ce4caaaffe2003ba7584469f8027f174aab18c"
},
{
"path": "v2/experiments/train_data/rft_v1/verified_rft_messages.jsonl",
"sha256": "a42453ccd7ac7680b0a03865e8e7080bc8bf74c8d9d193b440c441ed46f8512b"
},
{
"path": "v2/experiments/train_data/rft_v2/verified_rft_messages.jsonl",
"sha256": "18f4b3bd7e651f83c6acab479c9475e3fa50dc652a384f309e97146983ac85ba"
}
]
}