{
 "model": "CludeMem-E4B",
 "about": "One entry per memory operation. Send the task's system_prompt as the system message and the input, formatted as user_format describes, as the user message; the reply is one JSON object with output_keys. output_values lists the values those fields take in the training targets. The examples are test items whose inputs do not occur in the training data; example.output is the reference reply.",
 "chat_template": {
  "apply_chat_template_kwargs": {
   "add_generation_prompt": true,
   "enable_thinking": true
  },
  "rendered_form": "<bos><|turn>system\n<|think|>\n{system}<turn|>\n<|turn>user\n{user}<turn|>\n<|turn>model\n",
  "note": "enable_thinking=True reproduces the training prompt: a '<|think|>' line opens the system turn. The model does not emit a thinking block; it replies with one JSON object. transformers' apply_chat_template omits the line unless enable_thinking=True is passed.",
  "tokenizers_checked": [
   "google/gemma-4-e4b-it",
   "unsloth/gemma-4-E4B-it"
  ]
 },
 "decoding": "greedy (temperature 0)",
 "tasks": {
  "CLASSIFY": {
   "system_prompt": "Classify the memory. Output JSON: {type, importance (0-1), tags[], concepts[], emotional_valence (-1..1)}.",
   "user_format": {
    "template": "{memory text}",
    "description": "One memory statement as free text on a single line."
   },
   "output_keys": [
    "type",
    "importance",
    "tags",
    "concepts",
    "emotional_valence"
   ],
   "output_values": {
    "type": [
     "episodic",
     "semantic"
    ],
    "importance": [
     0.3,
     0.4,
     0.8,
     0.6,
     0.5,
     0.85,
     0.9
    ],
    "emotional_valence": [
     0.2,
     0,
     -0.3,
     0.3,
     0.5,
     -0.4
    ]
   },
   "example": {
    "system": "Classify the memory. Output JSON: {type, importance (0-1), tags[], concepts[], emotional_valence (-1..1)}.",
    "user": "By the way, around then on 2026-02-16, Priya spent the afternoon reviewing the Polaris roadmap, triaged the mobile backlog, and noted follow-ups for the data sync. It came up while we were chatting.",
    "output": {
     "type": "episodic",
     "importance": 0.3,
     "tags": [
      "event",
      "task",
      "priya"
     ],
     "concepts": [
      "event",
      "task"
     ],
     "emotional_valence": 0.2
    }
   }
  },
  "EXTRACT": {
   "system_prompt": "Extract atomic memories from the text. Output JSON: {memories:[{content, summary, type}]}.",
   "user_format": {
    "template": "{Speaker}: {utterance}\\n{Speaker}: {utterance}\\n...",
    "description": "A dialogue block, one 'Name: utterance' line per turn. Some rows mix in non-dialogue lines (log lines, markdown tables, tool-call JSON, code fences) that carry no memory."
   },
   "output_keys": [
    "memories"
   ],
   "output_values": {
    "memories[].type": [
     "episodic",
     "semantic"
    ]
   },
   "example": {
    "system": "Extract atomic memories from the text. Output JSON: {memories:[{content, summary, type}]}.",
    "user": "Tomas: Actually, scratch what I said before — tomas now prefers matcha, having switched from cola.\nTomas: By the way, around then tomas started a new job at Brightwell on 2026-07-18. It came up while we were chatting.\n{\"tool\":\"search\",\"status\":\"ok\",\"hits\":1}",
    "output": {
     "memories": [
      {
       "content": "Tomas now prefers matcha, having switched from cola.",
       "summary": "Tomas now prefers matcha, having switched from cola.",
       "type": "semantic"
      },
      {
       "content": "Tomas started a new job at Brightwell on 2026-07-18.",
       "summary": "Tomas started a new job at Brightwell on 2026-07-18.",
       "type": "episodic"
      }
     ]
    }
   }
  },
  "ENTITIES": {
   "system_prompt": "Extract entities and relations. Output JSON: {entities:[{name,type,aliases}], relations:[{head,type,tail}]}.",
   "user_format": {
    "template": "{memory text}",
    "description": "One memory statement as free text on a single line."
   },
   "output_keys": [
    "entities",
    "relations"
   ],
   "output_values": {
    "entities[].type": [
     "person",
     "location",
     "organization",
     "project"
    ],
    "relations[].type": [
     "lives_in",
     "works_at",
     "leads"
    ]
   },
   "example": {
    "system": "Extract entities and relations. Output JSON: {entities:[{name,type,aliases}], relations:[{head,type,tail}]}.",
    "user": "Actually, scratch what I said before — on 2026-05-02, Theo spent the afternoon reviewing the Beacon roadmap, triaged the mobile backlog, and noted follow-ups for the product sync.",
    "output": {
     "entities": [
      {
       "name": "Theo",
       "type": "person",
       "aliases": []
      }
     ],
     "relations": []
    }
   }
  },
  "TEMPORAL": {
   "system_prompt": "Extract the event date and its temporal links to the known events. Output JSON: {event_date, precision, links:[{type,target}]}.",
   "user_format": {
    "template": "Today is {YYYY-MM-DD}.\\nNew event [fN]: {text}\\nKnown events:\\n[fN] {text} ({YYYY-MM-DD})\\n...",
    "description": "Reference date, the new event with its id, then the known events, each followed by its date in parentheses. A few rows have no known events (the 'Known events:' block is absent)."
   },
   "output_keys": [
    "event_date",
    "precision",
    "links"
   ],
   "output_values": {
    "precision": [
     "day"
    ],
    "links[].type": [
     "happens_before",
     "happens_after"
    ]
   },
   "example": {
    "system": "Extract the event date and its temporal links to the known events. Output JSON: {event_date, precision, links:[{type,target}]}.",
    "user": "Today is 2026-06-01.\nNew event [f57]: I think on 2026-03-19, Nina spent the afternoon reviewing the Quartz roadmap, triaged the mobile backlog, and noted follow-ups for the data sync. At least that's my sense of it.\nKnown events:\n[f25] On 2026-03-01, Nina spent the afternoon reviewing the Beacon roadmap, triaged the infra backlog, and noted follow-ups for the data sync. (2026-03-01)\n[f41] On 2026-03-01, Nina spent the afternoon reviewing the Quartz roadmap, triaged the growth backlog, and noted follow-ups for the data sync. (2026-03-01)\n[f23] On 2026-03-10, Nina spent the afternoon reviewing the Sable roadmap, triaged the growth backlog, and noted follow-ups for the design sync. (2026-03-10)\n[f22] On 2026-03-24, Nina spent the afternoon reviewing the Quartz roadmap, triaged the mobile backlog, and noted follow-ups for the platform sync. (2026-03-24)\n[f14] On 2026-04-04, Nina spent the afternoon reviewing the Beacon roadmap, triaged the mobile backlog, and noted follow-ups for the ops sync. (2026-04-04)\n[f34] On 2026-04-06, Nina spent the afternoon reviewing the Echo roadmap, triaged the infra backlog, and noted follow-ups for the design sync. (2026-04-06)",
    "output": {
     "event_date": "2026-03-19",
     "precision": "day",
     "links": [
      {
       "type": "happens_after",
       "target": "f25"
      },
      {
       "type": "happens_after",
       "target": "f41"
      },
      {
       "type": "happens_after",
       "target": "f23"
      },
      {
       "type": "happens_before",
       "target": "f22"
      },
      {
       "type": "happens_before",
       "target": "f14"
      },
      {
       "type": "happens_before",
       "target": "f34"
      }
     ]
    }
   }
  },
  "CONSOLIDATE": {
   "system_prompt": "Consolidate the memories into evidence-linked insights. Output JSON: {insights:[{content, evidence[]}]}.",
   "user_format": {
    "template": "[fN] {memory}\\n[fN] {memory}\\n...",
    "description": "One memory per line, each prefixed with its id."
   },
   "output_keys": [
    "insights"
   ],
   "output_values": {},
   "example": {
    "system": "Consolidate the memories into evidence-linked insights. Output JSON: {insights:[{content, evidence[]}]}.",
    "user": "[f1] Kai lives in Austin.\n[f2] Kai moved to Seoul on 2026-10-21.\n[f3] Kai currently resides in Seoul.\n[f4] Kai enjoys living in Seoul.\n[f5] Kai prefers cola over matcha.\n[f6] Kai now prefers matcha, having switched from cola.\n[f7] Kai started a new job at Aperture on 2026-08-16.\n[f8] Kai is allergic to gluten.",
    "output": {
     "insights": [
      {
       "content": "Kai lives in Austin.",
       "evidence": [
        "f1"
       ]
      },
      {
       "content": "Kai currently resides in Seoul.",
       "evidence": [
        "f3"
       ]
      },
      {
       "content": "Kai enjoys living in Seoul.",
       "evidence": [
        "f4"
       ]
      },
      {
       "content": "Kai prefers cola over matcha.",
       "evidence": [
        "f5"
       ]
      },
      {
       "content": "Kai now prefers matcha, having switched from cola.",
       "evidence": [
        "f6"
       ]
      },
      {
       "content": "Kai is allergic to gluten.",
       "evidence": [
        "f8"
       ]
      }
     ]
    }
   }
  },
  "COMPACT": {
   "system_prompt": "Compact the old memories into one summary, preserving entities and the date range. Output JSON: {summary, preserved_entities[], date_range:{start,end}}.",
   "user_format": {
    "template": "[fN] {memory}\\n[fN] {memory}\\n...",
    "description": "One old memory per line, each prefixed with its id."
   },
   "output_keys": [
    "summary",
    "preserved_entities",
    "date_range"
   ],
   "output_values": {},
   "example": {
    "system": "Compact the old memories into one summary, preserving entities and the date range. Output JSON: {summary, preserved_entities[], date_range:{start,end}}.",
    "user": "[f2] Aisha moved to Lisbon on 2026-03-18.\n[f7] Aisha started a new job at Northstar on 2026-10-22.\n[f9] The Beacon project shipped on 2026-04-13.",
    "output": {
     "summary": "Aisha: 3 events covering Aisha, Lisbon, Northstar, Beacon.",
     "preserved_entities": [
      "Aisha",
      "Lisbon",
      "Northstar",
      "Beacon"
     ],
     "date_range": {
      "start": "2026-03-18",
      "end": "2026-10-22"
     }
    }
   }
  },
  "RECONCILE": {
   "system_prompt": "Decide how the two memories relate. Output JSON: {verdict, resolution, weaker_id, confidence}.",
   "user_format": {
    "template": "Memory A [fN]: {text}\\nMemory B [fN]: {text}",
    "description": "Exactly two lines, the two memories to compare with their ids. weaker_id in the output names one of these ids, or is null."
   },
   "output_keys": [
    "verdict",
    "resolution",
    "weaker_id",
    "confidence"
   ],
   "output_values": {
    "verdict": [
     "contradicts",
     "supersedes",
     "duplicate",
     "consistent"
    ],
    "confidence": [
     0.9,
     0.8,
     0.75,
     0.95,
     0.85
    ],
    "resolution": [
     "Memory A and Memory B cannot be ordered; the conflict is unresolved.",
     "Memory B conflicts with Memory A; treat B as current.",
     "Memory B is the current truth; Memory A is outdated.",
     "Memory B restates Memory A; keep one.",
     "Memory A and Memory B agree; both are kept.",
     "Separate periods; both memories are kept.",
     "Different attributes; both memories are kept.",
     "Memory A is dated later than Memory B; treat Memory A as current.",
     "Memory B is dated later than Memory A; treat Memory B as current.",
     "Different people; both memories are kept.",
     "The memories overlap in time and cannot be ordered; the conflict is unresolved.",
     "Memory B restates Memory A with a coarser date; keep Memory A.",
     "Memory A is outdated; Memory B is the current truth.",
     "Memory A restates Memory B with a coarser date; keep Memory B.",
     "Memory B restates Memory A using another form of the same value; keep Memory A.",
     "Memory B is outdated; Memory A is the current truth.",
     "Memory A restates Memory B using another form of the same value; keep Memory B.",
     "Memory B names the same person as Memory A by a short form; keep Memory A.",
     "Memory A names the same person as Memory B by a short form; keep Memory B."
    ],
    "weaker_id": [
     "one of the two input ids",
     "null"
    ]
   },
   "example": {
    "system": "Decide how the two memories relate. Output JSON: {verdict, resolution, weaker_id, confidence}.",
    "user": "Memory A [f2]: Caleb moved to Toronto on 2026-03-06.\nMemory B [f4]: Caleb enjoys living in Toronto.",
    "output": {
     "verdict": "consistent",
     "resolution": "Memory A and Memory B agree; both are kept.",
     "weaker_id": null,
     "confidence": 0.9
    }
   }
  },
  "QUERY": {
   "system_prompt": "Understand the query. Output JSON: {expanded_queries[], temporal_constraints, type_filters[], entities[], intent}.",
   "user_format": {
    "template": "Today is {YYYY-MM-DD}.\\n{question}",
    "description": "Reference date on the first line, the user's question on the second."
   },
   "output_keys": [
    "expanded_queries",
    "temporal_constraints",
    "type_filters",
    "entities",
    "intent"
   ],
   "output_values": {
    "intent": [
     "lookup",
     "temporal_lookup"
    ],
    "type_filters": [
     []
    ]
   },
   "example": {
    "system": "Understand the query. Output JSON: {expanded_queries[], temporal_constraints, type_filters[], entities[], intent}.",
    "user": "Today is 2026-06-01.\nDid Zara move to Lyon on 2026-04-19?",
    "output": {
     "expanded_queries": [
      "Did Zara move to Lyon on 2026-04-19?",
      "Did Zara move to Lyon on 2026-04-19"
     ],
     "temporal_constraints": {
      "after": null,
      "before": null
     },
     "type_filters": [],
     "entities": [
      "Zara",
      "Lyon"
     ],
     "intent": "temporal_lookup"
    }
   }
  },
  "ANSWER": {
   "system_prompt": "Answer ONLY from the provided memories; abstain if unsupported. Output JSON: {rationale, answer, citations[], confidence, abstain}.",
   "user_format": {
    "template": "Question: {question}\\n\\nMemories:\\n[fN] {memory}\\n[fN] {memory}\\n...",
    "description": "The question, a blank line, 'Memories:', then one retrieved memory per line with its id. citations in the output are ids from this list."
   },
   "output_keys": [
    "rationale",
    "answer",
    "citations",
    "confidence",
    "abstain"
   ],
   "output_values": {
    "abstain": [
     false,
     true
    ],
    "confidence": [
     0.9,
     0.8
    ],
    "answer (when abstain is true)": [
     "I do not have enough information to answer that."
    ]
   },
   "example": {
    "system": "Answer ONLY from the provided memories; abstain if unsupported. Output JSON: {rationale, answer, citations[], confidence, abstain}.",
    "user": "Question: Did Tomas move to Lisbon on 2026-03-14?\n\nMemories:\n[f1] Tomas lives in Toronto.\n[f2] Tomas moved to Lisbon on 2026-03-12.",
    "output": {
     "rationale": "No provided memory answers this.",
     "answer": "I do not have enough information to answer that.",
     "citations": [],
     "confidence": 0.8,
     "abstain": true
    }
   },
   "example_answerable": {
    "system": "Answer ONLY from the provided memories; abstain if unsupported. Output JSON: {rationale, answer, citations[], confidence, abstain}.",
    "user": "Question: Where does Maya live now?\n\nMemories:\n[f2] Maya moved to Austin on 2026-10-22.\n[f1] Maya lives in Lisbon.\n[f3] Maya currently resides in Austin.",
    "output": {
     "rationale": "Supported by f2.",
     "answer": "Austin",
     "citations": [
      "f2"
     ],
     "confidence": 0.9,
     "abstain": false
    }
   }
  }
 }
}