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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
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{ "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
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{ "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
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{ "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
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{ "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", "content_digest": "sha256:4d416a44730d49d68f4bcacf2789ec22b689cf2eeb9e2ee5945dbf44b7c37e4f", "conversation_id": "conv-4d4b38f758f1c335877ac80604c649ce", "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": "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", "receipt": { "candidate_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945", "candidate_set_id": "cset_fca330bd80254b6282fe1c0c8de4efde", "canonical_generation": 0, "complete": true,...
3.0.0
component-a63a395d5f86667278a909fe
transition_0051b134d3cd6c47a50b4fc3:formation.joint_transition.v3
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{ "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", "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": "Představení datového katalogu informatica", "id": "transition_007fc6dbd85b6421aa40bb2a", "source_digest": "sha256:8a0c22622cd5d2d679d2b463403af...
[]
{ "digest": "sha256:8f029fb7a6efaeb38641be4b7da9a46637cb524e7319f225a277e5488d5efc8e", "receipt": { "candidate_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945", "candidate_set_id": "cset_20e20254de5445f18ac9496f1c7faf1a", "canonical_generation": 0, "complete": true,...
3.0.0
component-96ee7d27946af8a1335e9119
transition_007fc6dbd85b6421aa40bb2a:formation.joint_transition.v3
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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
{ "kind": "contract_projection_only", "observation_content_digest": "sha256:ddfea7bd841c3f1928999cdb680162a9f818214319039c5b9230820b9ab02dec", "on_policy_state": false, "source_transition_ids": [ "transition_0095422aeca707a315f131c9:formation.context_sufficient.v2", "transition_0095422aeca707a315f131c9:...
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_0fb116471f90058b43219c0d47976178", "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:ddfea7bd841c3f1928999cdb680162a9f818214319039c5b9230820b9ab02dec", "conversation_id": "conv-8ff6c518d0b8de6bb991051cd7ccee03", "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": "तोता मिर्ची खाता है। इसमें कौन-सी क्रिया का रूप है।१) सकर्मक २) अकर्मक ३) दोनों", "id": "transition_0095422aeca707a315f131c9", "source_digest"...
[]
{ "digest": "sha256:79eb9985ea2458c1f70dc22a1b871bbb762174c47d6aa31f98e76c6e91eb6d08", "receipt": { "candidate_digest": "sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945", "candidate_set_id": "cset_07df401767054dba88a50e926f4aac95", "canonical_generation": 0, "complete": true,...
3.0.0
component-4bc00e725e68f0f6ca8c5c66
transition_0095422aeca707a315f131c9:formation.joint_transition.v3
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{ "category": "non_memory", "expected": "DO_NOT_STORE", "id": "transition_0095422aeca707a315f131c9", "language": "hindi", "observation": "तोता मिर्ची खाता है। इसमें कौन-सी क्रिया का रूप है।१) सकर्मक २) अकर्मक ३) दोनों", "question_id": "formation.joint_transition.v3", "question_type": "choice", "source"...
false
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DO_NOT_STORE
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memory-transition-example-selective-v3
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null
memory-transition-example-selective-v3
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null
memory-transition-example-selective-v3
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null
memory-transition-example-selective-v3
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null
memory-transition-example-selective-v3
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null
memory-transition-example-selective-v3
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null
memory-transition-example-selective-v3
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null
memory-transition-example-selective-v3
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3.0.0
component-2602fb4b514e962773898987
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null
memory-transition-example-selective-v3
train
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3.0.0
component-8038d23713e1354824fe9802
transition_01774bc656c8f1ceb7e8bb51:formation.joint_transition.v3
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null
memory-transition-example-selective-v3
train
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[]
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3.0.0
component-5af3952cd9d68dcfe242c965
transition_0177902cd77341594b27c845:formation.joint_transition.v3
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false
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null
memory-transition-example-selective-v3
train
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3.0.0
component-ba4724bbbf1be36621445fb9
transition_019405102ea7102a181ef256:formation.joint_transition.v3
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null
memory-transition-example-selective-v3
train
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3.0.0
component-2752b0601872d91b5459d622
transition_01d9d07db687ae3ec8128094:formation.joint_transition.v3
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null
memory-transition-example-selective-v3
train
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3.0.0
component-56bf6a8a625bc9b564e4431c
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null
memory-transition-example-selective-v3
train
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3.0.0
component-f7c65a1bb31217a91fae4b0d
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null
memory-transition-example-selective-v3
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memory-transition-example-selective-v3
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memory-transition-example-selective-v3
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memory-transition-example-selective-v3
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memory-transition-example-selective-v3
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null
memory-transition-example-selective-v3
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null
memory-transition-example-selective-v3
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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" }
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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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