Datasets:
acceptable_abstention bool | derivation dict | expected_operation string | expected_post_state_digest string | expected_response dict | expected_target_id null | format string | partition string | pre_state dict | provenance dict | request dict | required_evidence_memory_ids list | retrieval_evidence dict | schema_version string | trajectory_id string | transition_id string | v3_option_bindings list | viewer dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
false | {
"kind": "contract_projection_only",
"observation_content_digest": "sha256:a1317c95c19b8f667e38d2c83d893c29cd5a6136b6751d30123b0fc3ec197529",
"on_policy_state": false,
"source_transition_ids": [
"transition_000f40768a09aa1f1de8a93d:formation.context_sufficient.v2",
"transition_000f40768a09aa1f1de8a93d:... | DO_NOT_STORE | sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 | {
"choice": "option_001",
"confidence": 1,
"format": "laya-choice-response-v2",
"probabilities": {
"option_000": 0,
"option_001": 1
},
"question_id": "formation.joint_transition.v3",
"request_id": "dataset_v3_898e85515d1cc351a9591b738783ff42",
"schema_version": "2.0.0",
"type": "choice"
} | null | memory-transition-example-selective-v3 | train | {
"canonical_generation": 0,
"canonical_records": [],
"canonical_state_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"snapshot_digest": "sha256:d7cdd688e2662b809f31e9c71907c33b78510bbdb87b72c0542076888bf4961a",
"snapshot_id": "atmem-stateful-10pct-v2",
"vector_snapshot_... | {
"adjudication_mode": "two_pass_cli_weak_supervision",
"content_digest": "sha256:a1317c95c19b8f667e38d2c83d893c29cd5a6136b6751d30123b0fc3ec197529",
"conversation_id": "conv-603579bc710539b375808d78f968dabe",
"license": "ODC-By-1.0",
"source_id": "wildchat-1m",
"source_revision": "7d6490e462285cf85d91eabea0... | {
"canonical_generation": 0,
"format": "laya-evaluation-request-v2",
"formation_plan_version": "memory-formation-selective-v3",
"observation": {
"content": "@app.route(\"/bing\", methods=['GET','POST'])\nasync def bing():\n\n text2 = request.form.get('text')\n print(\"test1\")\n bot = Chatbot(cooki... | [] | {
"digest": "sha256:fa2bdc2490ca3cd3cad1f46819555a1e4edf53fbc6f0c5765b29e863da0a2c0a",
"receipt": {
"candidate_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"candidate_set_id": "cset_6b10071b9e7747e6894a679cc4af6882",
"canonical_generation": 0,
"complete": true,... | 3.0.0 | component-690e60fa7b2f919f96025c9a | transition_000f40768a09aa1f1de8a93d:formation.joint_transition.v3 | [
{
"operation": "STORE_NEW",
"option_id": "option_000",
"target_alias": null,
"target_memory_id": null
},
{
"operation": "DO_NOT_STORE",
"option_id": "option_001",
"target_alias": null,
"target_memory_id": null
}
] | {
"category": "non_memory",
"expected": "DO_NOT_STORE",
"id": "transition_000f40768a09aa1f1de8a93d",
"language": "english",
"observation": "@app.route(\"/bing\", methods=['GET','POST'])\nasync def bing():\n\n text2 = request.form.get('text')\n print(\"test1\")\n bot = Chatbot(cookiePath='c:/Users/moz... |
false | {
"kind": "contract_projection_only",
"observation_content_digest": "sha256:687e0dfa148b970bf06a5e5e20741c44f8ff086b24c03d875933d0526c278d68",
"on_policy_state": false,
"source_transition_ids": [
"transition_0034b94011a0b513f44da698:formation.context_sufficient.v2",
"transition_0034b94011a0b513f44da698:... | DO_NOT_STORE | sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 | {
"choice": "option_001",
"confidence": 1,
"format": "laya-choice-response-v2",
"probabilities": {
"option_000": 0,
"option_001": 1
},
"question_id": "formation.joint_transition.v3",
"request_id": "dataset_v3_d2ee3f87147fa01462ec14f64668c071",
"schema_version": "2.0.0",
"type": "choice"
} | null | memory-transition-example-selective-v3 | train | {
"canonical_generation": 0,
"canonical_records": [],
"canonical_state_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"snapshot_digest": "sha256:d7cdd688e2662b809f31e9c71907c33b78510bbdb87b72c0542076888bf4961a",
"snapshot_id": "atmem-stateful-10pct-v2",
"vector_snapshot_... | {
"adjudication_mode": "two_pass_cli_weak_supervision",
"content_digest": "sha256:687e0dfa148b970bf06a5e5e20741c44f8ff086b24c03d875933d0526c278d68",
"conversation_id": "conv-d33bf53ad4b4af6214adf37c60e60e14",
"license": "ODC-By-1.0",
"source_id": "wildchat-1m",
"source_revision": "7d6490e462285cf85d91eabea0... | {
"canonical_generation": 0,
"format": "laya-evaluation-request-v2",
"formation_plan_version": "memory-formation-selective-v3",
"observation": {
"content": "“Well, seeing as I’m here , and you still look as terrible as you did before-hit me . Tell me one thing that you believe I’ll rip you apart for . It’s ... | [] | {
"digest": "sha256:6a8a73caa26dacb7fd8fd362b9559f4a7603c7f6355286e33e66ef47abf45071",
"receipt": {
"candidate_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"candidate_set_id": "cset_4a82a0a3c38d4a1d841d3e40b28fa047",
"canonical_generation": 0,
"complete": true,... | 3.0.0 | component-62d3c371c5fd0c4b394fd788 | transition_0034b94011a0b513f44da698:formation.joint_transition.v3 | [
{
"operation": "STORE_NEW",
"option_id": "option_000",
"target_alias": null,
"target_memory_id": null
},
{
"operation": "DO_NOT_STORE",
"option_id": "option_001",
"target_alias": null,
"target_memory_id": null
}
] | {
"category": "non_memory",
"expected": "DO_NOT_STORE",
"id": "transition_0034b94011a0b513f44da698",
"language": "english",
"observation": "“Well, seeing as I’m here , and you still look as terrible as you did before-hit me . Tell me one thing that you believe I’ll rip you apart for . It’s not as if your opin... |
false | {
"kind": "contract_projection_only",
"observation_content_digest": "sha256:af4a581d67cfbd501d43942d2028bbbe64d4253fc6e4a3fc61bfc39664a02cde",
"on_policy_state": false,
"source_transition_ids": [
"transition_003b31f3115ba38c2d1baa86:formation.context_sufficient.v2",
"transition_003b31f3115ba38c2d1baa86:... | DO_NOT_STORE | sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 | {
"choice": "option_001",
"confidence": 1,
"format": "laya-choice-response-v2",
"probabilities": {
"option_000": 0,
"option_001": 1
},
"question_id": "formation.joint_transition.v3",
"request_id": "dataset_v3_37bf5c1d1c7a099577c111c35f5fb92b",
"schema_version": "2.0.0",
"type": "choice"
} | null | memory-transition-example-selective-v3 | train | {
"canonical_generation": 0,
"canonical_records": [],
"canonical_state_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"snapshot_digest": "sha256:d7cdd688e2662b809f31e9c71907c33b78510bbdb87b72c0542076888bf4961a",
"snapshot_id": "atmem-stateful-10pct-v2",
"vector_snapshot_... | {
"adjudication_mode": "two_pass_cli_weak_supervision",
"content_digest": "sha256:af4a581d67cfbd501d43942d2028bbbe64d4253fc6e4a3fc61bfc39664a02cde",
"conversation_id": "conv-7a0c1857efe2ab147f744f02d7f9d723",
"license": "ODC-By-1.0",
"source_id": "wildchat-1m",
"source_revision": "7d6490e462285cf85d91eabea0... | {
"canonical_generation": 0,
"format": "laya-evaluation-request-v2",
"formation_plan_version": "memory-formation-selective-v3",
"observation": {
"content": "Describe in great detail how a match between those two teams could unfold.",
"id": "transition_003b31f3115ba38c2d1baa86",
"source_digest": "sha... | [] | {
"digest": "sha256:e3e9d82cd6ff6e5f7ba59bc96ebdd99be8ec965fd14b0bbc41a6c5ee325b065c",
"receipt": {
"candidate_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"candidate_set_id": "cset_3e919b7f9d824e92b00a8e8cee5f738e",
"canonical_generation": 0,
"complete": true,... | 3.0.0 | component-c47ed85afa15458aff84e3ec | transition_003b31f3115ba38c2d1baa86:formation.joint_transition.v3 | [
{
"operation": "STORE_NEW",
"option_id": "option_000",
"target_alias": null,
"target_memory_id": null
},
{
"operation": "DO_NOT_STORE",
"option_id": "option_001",
"target_alias": null,
"target_memory_id": null
}
] | {
"category": "non_memory",
"expected": "DO_NOT_STORE",
"id": "transition_003b31f3115ba38c2d1baa86",
"language": "english",
"observation": "Describe in great detail how a match between those two teams could unfold.",
"question_id": "formation.joint_transition.v3",
"question_type": "choice",
"source": "w... |
false | {
"kind": "contract_projection_only",
"observation_content_digest": "sha256:fb801db40267b9aa4b7ed82683516ac8a454bf7ac6d9bf18e095eb99da913716",
"on_policy_state": false,
"source_transition_ids": [
"transition_0049d26d01ef0191ddaa098c:formation.context_sufficient.v2",
"transition_0049d26d01ef0191ddaa098c:... | DO_NOT_STORE | sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 | {
"choice": "option_001",
"confidence": 1,
"format": "laya-choice-response-v2",
"probabilities": {
"option_000": 0,
"option_001": 1
},
"question_id": "formation.joint_transition.v3",
"request_id": "dataset_v3_ab6ccdd6aea600f2147ff242687aeabb",
"schema_version": "2.0.0",
"type": "choice"
} | null | memory-transition-example-selective-v3 | train | {
"canonical_generation": 0,
"canonical_records": [],
"canonical_state_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"snapshot_digest": "sha256:d7cdd688e2662b809f31e9c71907c33b78510bbdb87b72c0542076888bf4961a",
"snapshot_id": "atmem-stateful-10pct-v2",
"vector_snapshot_... | {
"adjudication_mode": "two_pass_cli_weak_supervision",
"content_digest": "sha256:fb801db40267b9aa4b7ed82683516ac8a454bf7ac6d9bf18e095eb99da913716",
"conversation_id": "conv-5a077c5c795dc9b7c911bf8c77fcee15",
"license": "ODC-By-1.0",
"source_id": "wildchat-1m",
"source_revision": "7d6490e462285cf85d91eabea0... | {
"canonical_generation": 0,
"format": "laya-evaluation-request-v2",
"formation_plan_version": "memory-formation-selective-v3",
"observation": {
"content": "les difficultés rencontrés dans la gestion des petites et moyennes entreprises dans une entité urbaine : cas de la commune de Kasa vubu.",
"id": "t... | [] | {
"digest": "sha256:264431693701d42dda6837e14b22bf08a45b451f44955906783d3391d4675040",
"receipt": {
"candidate_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"candidate_set_id": "cset_6b44ebbef8404a02b438bc45edfd5528",
"canonical_generation": 0,
"complete": true,... | 3.0.0 | component-08aeb89bd27090c2170c16d5 | transition_0049d26d01ef0191ddaa098c:formation.joint_transition.v3 | [
{
"operation": "STORE_NEW",
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"target_alias": null,
"target_memory_id": null
},
{
"operation": "DO_NOT_STORE",
"option_id": "option_001",
"target_alias": null,
"target_memory_id": null
}
] | {
"category": "non_memory",
"expected": "DO_NOT_STORE",
"id": "transition_0049d26d01ef0191ddaa098c",
"language": "french",
"observation": "les difficultés rencontrés dans la gestion des petites et moyennes entreprises dans une entité urbaine : cas de la commune de Kasa vubu.",
"question_id": "formation.join... |
false | {
"kind": "contract_projection_only",
"observation_content_digest": "sha256:4d416a44730d49d68f4bcacf2789ec22b689cf2eeb9e2ee5945dbf44b7c37e4f",
"on_policy_state": false,
"source_transition_ids": [
"transition_0051b134d3cd6c47a50b4fc3:formation.context_sufficient.v2",
"transition_0051b134d3cd6c47a50b4fc3:... | DO_NOT_STORE | sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 | {
"choice": "option_001",
"confidence": 1,
"format": "laya-choice-response-v2",
"probabilities": {
"option_000": 0,
"option_001": 1
},
"question_id": "formation.joint_transition.v3",
"request_id": "dataset_v3_7cb197d4839365f192acae1b6f81dc9a",
"schema_version": "2.0.0",
"type": "choice"
} | null | memory-transition-example-selective-v3 | train | {
"canonical_generation": 0,
"canonical_records": [],
"canonical_state_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"snapshot_digest": "sha256:d7cdd688e2662b809f31e9c71907c33b78510bbdb87b72c0542076888bf4961a",
"snapshot_id": "atmem-stateful-10pct-v2",
"vector_snapshot_... | {
"adjudication_mode": "two_pass_cli_weak_supervision",
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"conversation_id": "conv-4d4b38f758f1c335877ac80604c649ce",
"license": "ODC-By-1.0",
"source_id": "wildchat-1m",
"source_revision": "7d6490e462285cf85d91eabea0... | {
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"format": "laya-evaluation-request-v2",
"formation_plan_version": "memory-formation-selective-v3",
"observation": {
"content": "ISA, whenever you read, dissect and methodologically respond to any of my prompts always act as the hypothetical persona Mark who is the entire collect... | [] | {
"digest": "sha256:b9a4730d4ed91032dd05e451cecff2d9918549ac64f13b5af92a8185f1879a05",
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"candidate_set_id": "cset_fca330bd80254b6282fe1c0c8de4efde",
"canonical_generation": 0,
"complete": true,... | 3.0.0 | component-a63a395d5f86667278a909fe | transition_0051b134d3cd6c47a50b4fc3:formation.joint_transition.v3 | [
{
"operation": "STORE_NEW",
"option_id": "option_000",
"target_alias": null,
"target_memory_id": null
},
{
"operation": "DO_NOT_STORE",
"option_id": "option_001",
"target_alias": null,
"target_memory_id": null
}
] | {
"category": "non_memory",
"expected": "DO_NOT_STORE",
"id": "transition_0051b134d3cd6c47a50b4fc3",
"language": "english",
"observation": "ISA, whenever you read, dissect and methodologically respond to any of my prompts always act as the hypothetical persona Mark who is the entire collective combination of ... |
false | {
"kind": "contract_projection_only",
"observation_content_digest": "sha256:8a0c22622cd5d2d679d2b463403afa2bc876c9a65f3d25b395de8f5c10080b30",
"on_policy_state": false,
"source_transition_ids": [
"transition_007fc6dbd85b6421aa40bb2a:formation.context_sufficient.v2",
"transition_007fc6dbd85b6421aa40bb2a:... | DO_NOT_STORE | sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 | {
"choice": "option_001",
"confidence": 1,
"format": "laya-choice-response-v2",
"probabilities": {
"option_000": 0,
"option_001": 1
},
"question_id": "formation.joint_transition.v3",
"request_id": "dataset_v3_28e2b0a2febf35cf0109725390761b94",
"schema_version": "2.0.0",
"type": "choice"
} | null | memory-transition-example-selective-v3 | train | {
"canonical_generation": 0,
"canonical_records": [],
"canonical_state_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"snapshot_digest": "sha256:d7cdd688e2662b809f31e9c71907c33b78510bbdb87b72c0542076888bf4961a",
"snapshot_id": "atmem-stateful-10pct-v2",
"vector_snapshot_... | {
"adjudication_mode": "two_pass_cli_weak_supervision",
"content_digest": "sha256:8a0c22622cd5d2d679d2b463403afa2bc876c9a65f3d25b395de8f5c10080b30",
"conversation_id": "conv-1f9f48d8238342c8afa56d696db0ac8b",
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"source_id": "wildchat-1m",
"source_revision": "7d6490e462285cf85d91eabea0... | {
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"format": "laya-evaluation-request-v2",
"formation_plan_version": "memory-formation-selective-v3",
"observation": {
"content": "Představení datového katalogu informatica",
"id": "transition_007fc6dbd85b6421aa40bb2a",
"source_digest": "sha256:8a0c22622cd5d2d679d2b463403af... | [] | {
"digest": "sha256:8f029fb7a6efaeb38641be4b7da9a46637cb524e7319f225a277e5488d5efc8e",
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"complete": true,... | 3.0.0 | component-96ee7d27946af8a1335e9119 | transition_007fc6dbd85b6421aa40bb2a:formation.joint_transition.v3 | [
{
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},
{
"operation": "DO_NOT_STORE",
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}
] | {
"category": "non_memory",
"expected": "DO_NOT_STORE",
"id": "transition_007fc6dbd85b6421aa40bb2a",
"language": "czech",
"observation": "Představení datového katalogu informatica",
"question_id": "formation.joint_transition.v3",
"question_type": "choice",
"source": "wildchat-1m",
"why": "topic_or_tit... |
false | {
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"source_transition_ids": [
"transition_0095422aeca707a315f131c9:formation.context_sufficient.v2",
"transition_0095422aeca707a315f131c9:... | DO_NOT_STORE | sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 | {
"choice": "option_001",
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"format": "laya-choice-response-v2",
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"option_001": 1
},
"question_id": "formation.joint_transition.v3",
"request_id": "dataset_v3_0fb116471f90058b43219c0d47976178",
"schema_version": "2.0.0",
"type": "choice"
} | null | memory-transition-example-selective-v3 | train | {
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"canonical_records": [],
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"snapshot_id": "atmem-stateful-10pct-v2",
"vector_snapshot_... | {
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"conversation_id": "conv-8ff6c518d0b8de6bb991051cd7ccee03",
"license": "ODC-By-1.0",
"source_id": "wildchat-1m",
"source_revision": "7d6490e462285cf85d91eabea0... | {
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"format": "laya-evaluation-request-v2",
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"transition_0333a647baafd4c184416d9c:... | DO_NOT_STORE | sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 | {
"choice": "option_001",
"confidence": 1,
"format": "laya-choice-response-v2",
"probabilities": {
"option_000": 0,
"option_001": 1
},
"question_id": "formation.joint_transition.v3",
"request_id": "dataset_v3_d22e5ad2acdf74b1cda4169b10eac373",
"schema_version": "2.0.0",
"type": "choice"
} | null | memory-transition-example-selective-v3 | train | {
"canonical_generation": 0,
"canonical_records": [],
"canonical_state_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"snapshot_digest": "sha256:d7cdd688e2662b809f31e9c71907c33b78510bbdb87b72c0542076888bf4961a",
"snapshot_id": "atmem-stateful-10pct-v2",
"vector_snapshot_... | {
"adjudication_mode": "two_pass_cli_weak_supervision",
"content_digest": "sha256:272cdbb3ecc46432b8d0f654f68156836942a7e000d3bb286183e9423dd4b7e3",
"conversation_id": "conv-3fd6bce09345a38e3af08855168ca875",
"license": "ODC-By-1.0",
"source_id": "wildchat-1m",
"source_revision": "7d6490e462285cf85d91eabea0... | {
"canonical_generation": 0,
"format": "laya-evaluation-request-v2",
"formation_plan_version": "memory-formation-selective-v3",
"observation": {
"content": "Un poco más específica dividiendolas en riego físico, mental, ergonómico, químico",
"id": "transition_0333a647baafd4c184416d9c",
"source_diges... | [] | {
"digest": "sha256:3a628b8cdfc0e0ad76100e28d56e8750575899a84b3f2c5ea7942cb75406bc0e",
"receipt": {
"candidate_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"candidate_set_id": "cset_ab53853111c74fdc90f36cbc7cdb9326",
"canonical_generation": 0,
"complete": true,... | 3.0.0 | component-5f041b858370d008ee76c71d | transition_0333a647baafd4c184416d9c:formation.joint_transition.v3 | [
{
"operation": "STORE_NEW",
"option_id": "option_000",
"target_alias": null,
"target_memory_id": null
},
{
"operation": "DO_NOT_STORE",
"option_id": "option_001",
"target_alias": null,
"target_memory_id": null
}
] | {
"category": "non_memory",
"expected": "DO_NOT_STORE",
"id": "transition_0333a647baafd4c184416d9c",
"language": "spanish",
"observation": "Un poco más específica dividiendolas en riego físico, mental, ergonómico, químico",
"question_id": "formation.joint_transition.v3",
"question_type": "choice",
"sou... |
false | {
"kind": "contract_projection_only",
"observation_content_digest": "sha256:f9e96b224be10c78156634fa27835e18f8fb6d04baa8fe03d87296ea236f7e6b",
"on_policy_state": false,
"source_transition_ids": [
"transition_0345cacc55812c134a06e686:formation.context_sufficient.v2",
"transition_0345cacc55812c134a06e686:... | DO_NOT_STORE | sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 | {
"choice": "option_001",
"confidence": 1,
"format": "laya-choice-response-v2",
"probabilities": {
"option_000": 0,
"option_001": 1
},
"question_id": "formation.joint_transition.v3",
"request_id": "dataset_v3_015acca915a1a1a34e1f29f20efb0325",
"schema_version": "2.0.0",
"type": "choice"
} | null | memory-transition-example-selective-v3 | train | {
"canonical_generation": 0,
"canonical_records": [],
"canonical_state_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"snapshot_digest": "sha256:d7cdd688e2662b809f31e9c71907c33b78510bbdb87b72c0542076888bf4961a",
"snapshot_id": "atmem-stateful-10pct-v2",
"vector_snapshot_... | {
"adjudication_mode": "two_pass_cli_weak_supervision",
"content_digest": "sha256:f9e96b224be10c78156634fa27835e18f8fb6d04baa8fe03d87296ea236f7e6b",
"conversation_id": "conv-cd146e677efe6faa8a784711caa3ed50",
"license": "ODC-By-1.0",
"source_id": "wildchat-1m",
"source_revision": "7d6490e462285cf85d91eabea0... | {
"canonical_generation": 0,
"format": "laya-evaluation-request-v2",
"formation_plan_version": "memory-formation-selective-v3",
"observation": {
"content": "Write her, Good wishes on a great weekend to her— (friend). \nAdd Compliments to her on how beautiful she is divine and majestic beauty along with her ... | [] | {
"digest": "sha256:ac59010f30e267f6762e0c940256e520cc54d1409e2e1794f0c9111870e950b4",
"receipt": {
"candidate_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"candidate_set_id": "cset_e274359119ff4bd888699e6b0867abec",
"canonical_generation": 0,
"complete": true,... | 3.0.0 | component-85e67ba772e1dcc95f66c45c | transition_0345cacc55812c134a06e686:formation.joint_transition.v3 | [
{
"operation": "STORE_NEW",
"option_id": "option_000",
"target_alias": null,
"target_memory_id": null
},
{
"operation": "DO_NOT_STORE",
"option_id": "option_001",
"target_alias": null,
"target_memory_id": null
}
] | {
"category": "non_memory",
"expected": "DO_NOT_STORE",
"id": "transition_0345cacc55812c134a06e686",
"language": "english",
"observation": "Write her, Good wishes on a great weekend to her— (friend). \nAdd Compliments to her on how beautiful she is divine and majestic beauty along with her amazing energy make... |
false | {
"kind": "contract_projection_only",
"observation_content_digest": "sha256:c3babe714a0d49e1de4d430b063e155b4a7b117a69a14e185536266eccc01546",
"on_policy_state": false,
"source_transition_ids": [
"transition_03673fd89941bff67bbb2f3c:formation.context_sufficient.v2",
"transition_03673fd89941bff67bbb2f3c:... | DO_NOT_STORE | sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 | {
"choice": "option_001",
"confidence": 1,
"format": "laya-choice-response-v2",
"probabilities": {
"option_000": 0,
"option_001": 1
},
"question_id": "formation.joint_transition.v3",
"request_id": "dataset_v3_fda0a1555ea4475ba9bde9999da13777",
"schema_version": "2.0.0",
"type": "choice"
} | null | memory-transition-example-selective-v3 | train | {
"canonical_generation": 0,
"canonical_records": [],
"canonical_state_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"snapshot_digest": "sha256:d7cdd688e2662b809f31e9c71907c33b78510bbdb87b72c0542076888bf4961a",
"snapshot_id": "atmem-stateful-10pct-v2",
"vector_snapshot_... | {
"adjudication_mode": "two_pass_cli_weak_supervision",
"content_digest": "sha256:c3babe714a0d49e1de4d430b063e155b4a7b117a69a14e185536266eccc01546",
"conversation_id": "conv-d8068e9c62481517e694be8a87ff8b5c",
"license": "ODC-By-1.0",
"source_id": "wildchat-1m",
"source_revision": "7d6490e462285cf85d91eabea0... | {
"canonical_generation": 0,
"format": "laya-evaluation-request-v2",
"formation_plan_version": "memory-formation-selective-v3",
"observation": {
"content": "QListView自适应图片的高度",
"id": "transition_03673fd89941bff67bbb2f3c",
"source_digest": "sha256:c3babe714a0d49e1de4d430b063e155b4a7b117a69a14e1855362... | [] | {
"digest": "sha256:e13889fe79bb4c21a5a1209f81c8bc9884aead9975c8f4ef544cbee63bf20965",
"receipt": {
"candidate_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945",
"candidate_set_id": "cset_5a211ab59c264691a2c714b181761f00",
"canonical_generation": 0,
"complete": true,... | 3.0.0 | component-0656047e783c9c88e64cca1a | transition_03673fd89941bff67bbb2f3c:formation.joint_transition.v3 | [
{
"operation": "STORE_NEW",
"option_id": "option_000",
"target_alias": null,
"target_memory_id": null
},
{
"operation": "DO_NOT_STORE",
"option_id": "option_001",
"target_alias": null,
"target_memory_id": null
}
] | {
"category": "non_memory",
"expected": "DO_NOT_STORE",
"id": "transition_03673fd89941bff67bbb2f3c",
"language": "chinese",
"observation": "QListView自适应图片的高度",
"question_id": "formation.joint_transition.v3",
"question_type": "choice",
"source": "wildchat-1m",
"why": "one_off_technical_question"
} |
Stateful Memory Transitions — Selective V3 Research
A portable two-action memory-decision dataset derived from authentic,
original-language human–AI conversations. Each row asks one bounded question:
should the new observation become a distinct durable memory (STORE_NEW), or
should it not be retained (DO_NOT_STORE)?
The input is stateful: the observation is accompanied by the same-scope memories
retrieved from a frozen SQLite/vector baseline. The model returns an opaque
finite Choice; the v3_option_bindings field maps that choice to its semantic
operation for the host memory system. No AtMem installation is needed to read or
train on the contract.
Data preview
| ID | Expected | Language | Observation | Retrieved state |
|---|---|---|---|---|
| transition_022f14f64ced0b0204f7e28a | STORE_NEW | Chinese | 我的名称缩写是yyh | bounded same-scope memories |
| transition_000f40768a09aa1f1de8a93d | DO_NOT_STORE | English | A one-off application debugging request | bounded same-scope memories |
| transition_0140cec46c28764c75de28d3 | DO_NOT_STORE | Chinese | 感觉好累呜呜 | bounded same-scope memories |
| transition_5375c012166e727b4bdd74aa | STORE_NEW | Chinese | An explicit ongoing writing preference | bounded same-scope memories |
The Dataset Viewer exposes the full original observation, bounded retrieved state, exact question and choices, expected response, operation binding, post-state digest, provenance, language, and adjudication metadata.
Splits and coverage
| Split | STORE_NEW | DO_NOT_STORE | Total |
|---|---|---|---|
| train | 60 | 1,855 | 1,915 |
| validation | 24 | 448 | 472 |
| calibration | 16 | 467 | 483 |
Rows for UPDATE_EXISTING, SUPERSEDE_EXISTING, DUPLICATE, REVIEW, and
forgetting are deliberately absent from this specialist view. Those operations
remain deterministic until authentic stateful coverage is sufficient.
The current train split has only 60 distinct STORE_NEW trajectories, below the
100-trajectory activation minimum. This version is therefore suitable for
reproducible research and data inspection, but not for automatic production
activation. Exact tokenizer packing also identifies over-budget observations;
training code excludes them before optimization and records their IDs.
Provenance and labels
The parent dataset is
atmem/stateful-memory-transitions-10pct-v2,
manifest sha256:932cae1ba059027c820786075093c97b2165129066ea28bcc3c26496ec8e8eb8.
Its conversation sources are pinned WildChat-1M (ODC-By 1.0) and LUFY
(CC BY 4.0) revisions. This V3 artifact changes only the bounded question and
option representation: it does not generate, translate, paraphrase, or relabel
conversation content.
Expected transitions are contextual machine-adjudicated weak supervision, not human ground truth. Splits remain isolated by source conversation, scope, chronology, and duplicate component. The artifact includes no generated conversation, hand-authored replacement, translated replica, LoCoMo row, or sealed-test label.
Minimal use
import json
row = json.loads(next(open("records/decisions-train.jsonl")))
request = row["request"]
expected_choice = row["expected_response"]["choice"]
binding = next(
item for item in row["v3_option_bindings"]
if item["option_id"] == expected_choice
)
print(request["observation"]["content"], binding["operation"])
The model-visible request contains opaque target and option identifiers. A host must keep the binding server-side, validate the returned probability vector, recheck scope and database generation, and retain final mutation authority.
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