Datasets:
task_id string | num_tool_calls int64 | tool_sequence string | transcript string | messages list | task string | status string | num_notes int64 | num_turns int64 | final_answer string | final_reasoning string | memory_notes string | note_ids list | source_rollout_ids list | teacher_model string | providers string | model_revision string | quality_review string | prompt_tokens int64 | completion_tokens int64 | wall_seconds float64 | actor_system string | teacher_system string | events_json string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
n1_03121 | 2 | Turn 1: read {"path": "matters/1001-00003/Closing/closing-checklist.xlsx.md", "start_line": 1, "num_lines": 50}
Turn 2: read {"path": "matters/1001-00003/Transaction Documents/asset-purchase-agreement-execution.docx.md", "start_line": 1, "num_lines": 50} | # Task
Reconcile the 'Target Closing Date | June 20, 2024' found in `matters/1001-00003/Closing/closing-checklist.xlsx.md` with the 'Dated as of April 2, 2024' found in `matters/1001-00003/Transaction Documents/asset-purchase-agreement-execution.docx.md`. Determine if the execution date aligns with the target closing ... | [
{
"role": "system",
"content": "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkness LLP (C&H). The DMS holds the firm's work product: memos, letters, emails, spreadsheets, and filings, organized as matters/<matter-id>/<workstream>/<file>. All files are markd... | Reconcile the 'Target Closing Date | June 20, 2024' found in `matters/1001-00003/Closing/closing-checklist.xlsx.md` with the 'Dated as of April 2, 2024' found in `matters/1001-00003/Transaction Documents/asset-purchase-agreement-execution.docx.md`. Determine if the execution date aligns with the target closing date or ... | done | 2 | 4 | Based on my review of the documents, I can reconcile the dates as follows:
**APA Execution Date (April 2, 2024):** The Asset Purchase Agreement was executed and dated April 2, 2024, as confirmed in the execution document itself (file: matters/1001-00003/Transaction Documents/asset-purchase-agreement-execution.docx.md:... | The user is asking me to reconcile the dates and determine if there was a delay. I've already reviewed both documents and have the information I need from my previous tool calls and remembered knowledge. I don't need to make any more tool calls - I should provide my final answer now.
Let me summarize what I found:
1.... | # Closing Deliverables and Timeline Management in Transaction Matters
Repository: `calderwood-harkness/dms`
Commit: `8a578c22bf55868ead6ef3ce6d2829c872e002ae`
Memory type: `chronology`
## What was learned
Matter 1001-00003 experienced a 10-day closing delay from June 20, 2024 to June 30, 2024 due to landlord consent... | [
"0f307b2154ac3021fce4751cc852830b179bd26d",
"3b3760232902b14368bf238e0a8f0e9753d92dce"
] | [
"n1_03121"
] | Qwen/Qwen3.5-9B | local_vllm | c202236235762e1c871ad0ccb60c8ee5ba337b9a | Not graded; retained without semantic filtering. | 23,692 | 2,947 | 85.683595 | You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkness LLP (C&H). The DMS holds the firm's work product: memos, letters, emails, spreadsheets, and filings, organized as matters/<matter-id>/<workstream>/<file>. All files are markdown text.
Tools (call ONE per turn by emitt... | You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkness LLP (C&H). The DMS holds the firm's work product: memos, letters, emails, spreadsheets, and filings, organized as matters/<matter-id>/<workstream>/<file>. All files are markdown text.
Tools (call ONE per turn by emitt... | [{"step": 1, "role": "assistant", "reasoning": "The user wants me to reconcile two dates found in different files for matter 1001-00003:\n1. Target Closing Date: June 20, 2024 (from closing-checklist.xlsx.md)\n2. Execution Date: April 2, 2024 (from asset-purchase-agreement-execution.docx.md)\n\nI need to read these fil... |
n1_03542 | 2 | "Turn 1: read {\"path\": \"matters/1012-00001/Correspondence/engagement-letter.docx.md\", \"start_li(...TRUNCATED) | "# Task\n\nVerify the chronological consistency between the engagement letter for Matter 1012-00001 (...TRUNCATED) | [{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED) | "Verify the chronological consistency between the engagement letter for Matter 1012-00001 and the cl(...TRUNCATED) | done | 3 | 4 | "## Chronological Consistency Verification\n\n### Engagement Dates\n\n**Matter 1012-00001 Engagement(...TRUNCATED) | "The user is asking me to verify chronological consistency between the engagement letter for Matter (...TRUNCATED) | "# Ridgeline Counterparty Pattern: Stonefield and Meridian Matters\n\nRepository: `calderwood-harkne(...TRUNCATED) | ["3d9cb8f1fb3e85cd8a3fd3e002c4fedb5c2cafe2","4828efe378915a17ae18bceea6d76f0ab10d4407","496ff84d4c96(...TRUNCATED) | [
"n1_03542"
] | Qwen/Qwen3.5-9B | local_vllm | c202236235762e1c871ad0ccb60c8ee5ba337b9a | Not graded; retained without semantic filtering. | 24,473 | 2,584 | 87.774618 | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "[{\"step\": 1, \"role\": \"assistant\", \"reasoning\": \"The user wants me to verify chronological (...TRUNCATED) |
n1_02769 | 3 | "Turn 1: read {\"path\": \"matters/1001-00005/Transaction Documents/outside-date-extension-agreement(...TRUNCATED) | "# Task\n\nAnalyze whether the 'Outside Date' extension in matters/1001-00005/Transaction Documents/(...TRUNCATED) | [{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED) | "Analyze whether the 'Outside Date' extension in matters/1001-00005/Transaction Documents/outside-da(...TRUNCATED) | done | 3 | 4 | "Based on my analysis of the documents, the 'Outside Date' extension in matter 1001-00005 and the co(...TRUNCATED) | "The user is asking me to analyze whether the 'Outside Date' extension in matter 1001-00005 (January(...TRUNCATED) | "# Matter 1001-00005: Ardent Capital Partners III LP Take-Private of Coral Reef Hospitality Group\n\(...TRUNCATED) | ["343c9911b7672df6c66a7c7529126adb1b5b98bc","541122b1ae4d82ebac9727bbe25b127bfd968263","c06931f3ce0b(...TRUNCATED) | [
"n1_02769"
] | Qwen/Qwen3.5-9B | local_vllm | c202236235762e1c871ad0ccb60c8ee5ba337b9a | Not graded; retained without semantic filtering. | 26,642 | 2,637 | 93.046621 | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "[{\"step\": 1, \"role\": \"assistant\", \"reasoning\": \"The user wants me to analyze whether the '(...TRUNCATED) |
n1_03008 | 2 | "Turn 1: read {\"path\": \"matters/1019-00001/Pleadings/respondents-rejoinder.docx.md\", \"start_lin(...TRUNCATED) | "# Task\n\nExtract the full legal name and jurisdiction from matters/1019-00001/Pleadings/respondent(...TRUNCATED) | [{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED) | "Extract the full legal name and jurisdiction from matters/1019-00001/Pleadings/respondents-rejoinde(...TRUNCATED) | done | 2 | 3 | "Based on my review of the documents, I can identify the following discrepancies in how Whitmore Aer(...TRUNCATED) | "The user is asking me to compare information about Whitmore Aerospace LLC across two different matt(...TRUNCATED) | "# Whitmore Aerospace LLC Entity Discrepancy Across Matters 1019-00001 and 1019-00004\n\nRepository:(...TRUNCATED) | [
"2789807c0ab785e379f145c4e1244d96168ed494",
"e8af16d12be5140a6fcbccd6f06803499485458e"
] | [
"n1_03008"
] | Qwen/Qwen3.5-9B | local_vllm | c202236235762e1c871ad0ccb60c8ee5ba337b9a | Not graded; retained without semantic filtering. | 13,775 | 2,294 | 83.045856 | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "[{\"step\": 1, \"role\": \"assistant\", \"reasoning\": \"The user wants me to extract information a(...TRUNCATED) |
n2_03469 | 6 | "Turn 1: read {\"path\": \"matters/1032-00006/Functional & Economic Analysis/functional-analysis-mem(...TRUNCATED) | "# Task\n\nCompare the FY 2024 Net Revenue ($4,120,000,000) and Intercompany Flows (€1,280,600,000(...TRUNCATED) | [{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED) | "Compare the FY 2024 Net Revenue ($4,120,000,000) and Intercompany Flows (€1,280,600,000) listed i(...TRUNCATED) | done | 2 | 8 | "Based on my review of both documents, I have compared the FY 2024 financial figures. Here are my fi(...TRUNCATED) | "The user is asking me to compare FY 2024 Net Revenue and Intercompany Flows figures between the Fun(...TRUNCATED) | "# FY 2024 Financial Data Consistency Check: Functional Analysis Memo vs. APA Financial Data Appendi(...TRUNCATED) | [
"61e062ec90ad76e6140f597c2c79541649e1ec59",
"a778b3ffc2f48febac7b85e9ee918dada9d11057"
] | [
"n2_03469"
] | Qwen/Qwen3.5-9B | local_vllm | c202236235762e1c871ad0ccb60c8ee5ba337b9a | Not graded; retained without semantic filtering. | 90,840 | 5,843 | 178.277753 | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "[{\"step\": 1, \"role\": \"assistant\", \"reasoning\": \"The user is asking me to compare FY 2024 N(...TRUNCATED) |
n2_09243 | 2 | "Turn 1: read {\"path\": \"matters/1031-00004/Entity Formation/llc-agreement-hyw-mezzanine.docx.md\"(...TRUNCATED) | "# Task\n\nReview the Treasury Regulation § 1.704-1(b)(2)(iv) citations in both LLC agreements and (...TRUNCATED) | [{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED) | "Review the Treasury Regulation § 1.704-1(b)(2)(iv) citations in both LLC agreements and verify the(...TRUNCATED) | done | 2 | 3 | "# Treasury Regulation § 1.704-1(b)(2)(iv) Citation Verification Checklist\n\nBased on review of bo(...TRUNCATED) | "Now I have both LLC agreements. Let me analyze the Treasury Regulation § 1.704-1(b)(2)(iv) citatio(...TRUNCATED) | "# Capital Accounts Provisions in Client 1031 Entity Formation Documents\n\nRepository: `calderwood-(...TRUNCATED) | [
"0cf6ecbdd8b2e171e3d845543ff381ee7145ab47",
"8eaf09a8282f9fe8b27da6acfaae6cf3e8ad2789"
] | [
"n2_09243"
] | Qwen/Qwen3.5-9B | local_vllm | c202236235762e1c871ad0ccb60c8ee5ba337b9a | Not graded; retained without semantic filtering. | 6,706 | 1,901 | 60.948779 | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "[{\"step\": 1, \"role\": \"assistant\", \"reasoning\": \"The user wants me to review the Treasury R(...TRUNCATED) |
n2_04802 | 4 | "Turn 1: read {\"path\": \"matters/1012-00005/Insurance & Lender Notifications/lender-notification-l(...TRUNCATED) | "# Task\n\nCompare the litigation damages claim amount and the mitigation costs identified in the le(...TRUNCATED) | [{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED) | "Compare the litigation damages claim amount and the mitigation costs identified in the lender notif(...TRUNCATED) | done | 3 | 5 | "Based on my review of the two documents, the litigation damages claim amount and mitigation costs a(...TRUNCATED) | "I need to compare the damages claim amounts and mitigation costs between the two documents. Let me (...TRUNCATED) | "# 1012-00005 Litigation Timeline: Vantor vs. Stonefield\n\nRepository: `calderwood-harkness/dms`\nC(...TRUNCATED) | ["a9cd96788cd7f7642ebb0eb667ebabcacecb197b","adfe671bb3a2396e1701a230e9ff546e90bebade","cdd9921128c0(...TRUNCATED) | [
"n2_04802"
] | Qwen/Qwen3.5-9B | local_vllm | c202236235762e1c871ad0ccb60c8ee5ba337b9a | Not graded; retained without semantic filtering. | 35,363 | 2,799 | 91.774935 | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "[{\"step\": 1, \"role\": \"assistant\", \"reasoning\": \"The user is asking me to compare the litig(...TRUNCATED) |
n2_10000 | 2 | "Turn 1: read {\"path\": \"matters/1031-00001/documents/email-bernstein-to-whitfield-transmitting-de(...TRUNCATED) | "# Task\n\nCreate a comparison table that extracts the specific conflict description language from t(...TRUNCATED) | [{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED) | "Create a comparison table that extracts the specific conflict description language from the email s(...TRUNCATED) | done | 2 | 3 | "# Comparison Table: Conflict Status Language - Email vs. Q2 2024 Conflicts Committee Report\n\n| Do(...TRUNCATED) | "The user wants me to create a comparison table that extracts specific conflict description language(...TRUNCATED) | "# MTDC Engagement Chronology: From Declined to Active Representation\n\nRepository: `calderwood-har(...TRUNCATED) | [
"779e5a63543aa9c4c5b8915ff428f4ca67e979de",
"c248766677ae1611dd6345ae327cacd4a89f66cc"
] | [
"n2_10000"
] | Qwen/Qwen3.5-9B | local_vllm | c202236235762e1c871ad0ccb60c8ee5ba337b9a | Not graded; retained without semantic filtering. | 9,634 | 1,433 | 44.973731 | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "[{\"step\": 1, \"role\": \"assistant\", \"reasoning\": \"The user is asking me to create a comparis(...TRUNCATED) |
n2_07291 | 3 | "Turn 1: read {\"path\": \"matters/1020-00003/Engagement/engagement-letter-gap-2022-02-21.docx.md\",(...TRUNCATED) | "# Task\n\nDraft a chronological analysis comparing the Engagement Letter date of \"February 21, 202(...TRUNCATED) | [{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED) | "Draft a chronological analysis comparing the Engagement Letter date of \"February 21, 2022\" with t(...TRUNCATED) | done | 2 | 4 | "# Chronological Analysis: Engagement Letter vs. Purchase Agreement - Matter 1020-00003\n\n## Date C(...TRUNCATED) | "Based on my review of the documents, I have gathered the following information:\n\n1. **Engagement (...TRUNCATED) | "# Chronological Analysis: Engagement Letter vs. Purchase Agreement - Matter 1020-00003\n\nRepositor(...TRUNCATED) | [
"2d260a0da162d81fd69268179adc1174c99fbad2",
"b0449644a73739f0c5eec7b2109c0161933b7e3e"
] | [
"n2_07291"
] | Qwen/Qwen3.5-9B | local_vllm | c202236235762e1c871ad0ccb60c8ee5ba337b9a | Not graded; retained without semantic filtering. | 17,617 | 1,793 | 59.25809 | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "[{\"step\": 1, \"role\": \"assistant\", \"reasoning\": \"The user is asking me to draft a chronolog(...TRUNCATED) |
n2_05014 | 5 | "Turn 1: read {\"path\": \"matters/1014-00004/Claim Construction/appendix-extrinsic-evidence-opening(...TRUNCATED) | "# Task\n\nRead matters/1014-00004/Claim Construction/appendix-extrinsic-evidence-opening.docx.md an(...TRUNCATED) | [{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED) | "Read matters/1014-00004/Claim Construction/appendix-extrinsic-evidence-opening.docx.md and matters/(...TRUNCATED) | done | 2 | 7 | "## Chronological Analysis: Discovery Timeline vs. Patent Prosecution Dates\n\n### Discovery Timelin(...TRUNCATED) | "The user is asking me to read two documents and compare dates. I've already done this analysis in m(...TRUNCATED) | "# Patent Prosecution Dates vs. Discovery Timeline in Matter 1014-00004\n\nRepository: `calderwood-h(...TRUNCATED) | [
"390c34fda5734234eaa0df482765f804c435e51c",
"6abb96d89f404932fd59ebf194e817b75560a4b2"
] | [
"n2_05014"
] | Qwen/Qwen3.5-9B | local_vllm | c202236235762e1c871ad0ccb60c8ee5ba337b9a | Not graded; retained without semantic filtering. | 82,531 | 5,103 | 148.959121 | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkne(...TRUNCATED) | "[{\"step\": 1, \"role\": \"assistant\", \"reasoning\": \"The user wants me to:\\n1. Read two specif(...TRUNCATED) |
20 fresh note-conditioned Qwen3.5-9B actor trajectories
These are complete tool-using agent trajectories. Every task executed 2–11
document tools: 56 read, 11 grep, and 2 glob calls in total. No generated
reasoning, executed tool call, returned observation or final answer was removed.
The base actor system is byte-identical to the published base agentic eval system;
the teacher-only memory instruction and notes were appended to it.
The default table begins with tool_sequence, transcript, and messages.
transcript shows the task and all turns chronologically. messages contains
the exact teacher conversation, including its system prompt and actual tool
results (represented as user-role <tool_result> messages by the eval protocol).
actor_system exposes the unchanged eval prompt; teacher_system includes the
added memory block. events_json preserves the complete structured event log.
The final_answer and final_reasoning columns are convenient extracts, not
the complete trajectory. Readable example pages show tool calls and the full
trajectory first, with the supplied notes at the end.
Steps 1–5 of the note-conditioned procedure: original tasks plus their associated frozen notes, followed by fresh actor execution on the pinned DMS. This is teacher data for qualitative inspection. No student training export, semantic filtering, correctness grading or post-hoc reasoning rewrite has been performed.
- Trajectory table: 20 rows, with task, supplied notes, full transcript, final reasoning and answer.
- Turn table: 101 rows, with reasoning, action and returned observation side by side.
- Note table: 45 task–note rows, with exact note text and read/write provenance.
How these were generated
The same 20 original tasks used in the earlier rewrite comparison were recovered
without replacement from violetxi/wmrl-v4-note-sessions at
b2b72c696a88e45874a3886b3941c0897f0661a6. All 45 associated
notes resolved in violetxi/wm-rl-notes-v4 at 6e62edba847d8013a5e7aefb1e7fd19974fa5381.
Associations require actual successful reads or accepted writes; source completion
status was not used to infer note reading or useful note use.
Each teacher receives the actor system, original task, and its complete note
bundle as prior remembered knowledge. Notes are included verbatim. The teacher
can call only glob, grep and read; no note tools or note-writing gates are
available. It chooses fresh actions, including answering directly when memory
suffices. No original reasoning, action sequence, observations or final answer
is added to its generation input.
Teacher: Qwen/Qwen3.5-9B, revision
c202236235762e1c871ad0ccb60c8ee5ba337b9a; thinking enabled; temperature 0.6,
top-p 0.95, top-k 20, presence penalty 0; up to 20 assistant turns, 16,384 output
tokens per turn and 65,536 total context tokens. The native Qwen template is used.
Prior assistant reasoning is preserved in the raw records and tables, although
the native template omits it from later model prompts after user-role tool results.
The note memory remains available throughout.
Hardware recovery: 17 trajectories completed entirely on
the local pinned model. GPU 2 failed with three requests in flight and prevented
CUDA initialization even when excluded. The three unfinished tasks were resumed
from byte-identical saved response history using Qwen3.5-9B hosted by Together
through Hugging Face. No completed local model output was replaced. The provider
reports weight_version=default and does not expose an immutable weight commit;
the exact hosted revision/precision is unverified. providers, model_revision
and per-turn provider distinguish these continuations. They are not a strictly
identical-backend comparison. Decoding values above are the requested settings;
hosted prompt token counts and raw provider metadata are retained. For recovered
rows, wall_seconds measures the successful resumed run, excluding outage time.
All tools execute on the reconstructed 9,288-document DMS at Harvey Labs commit
c2488cfa24fd01ee88016a121479a2f86b394bd4. All documents parsed successfully;
53 original reads matched the reconstruction byte for byte. New tool observations
were independently reexecuted for export verification. Complete assistant text
was checked against raw model responses. Restoring a server-stripped </tool>
stop delimiter is the only assistant-text serialization addition.
Reading the data
Status counts: {"done": 20}. There are
69 executed tool calls and 60,425
generated tokens. A done status means a closed final answer was emitted within
the budget; it does not establish task correctness or beneficial note use.
There were 0 tool-error observations and 12
turns with harness feedback, retained in the transcript and turn table.
Partial or defective outputs, if present, are included with their actual status.
Notes written while solving the original task are intentionally available at the start of its fresh replay, and may contain its answer. This is knowledge rehearsal, not a causal reconstruction of the original session or held-out evaluation. The sample was selected for the earlier rewrite investigation; it is not random or representative. Check factual fidelity, how memory informs decisions, and whether the final reasoning supports the actual answer during qualitative review.
memory_notes contains privileged teacher input. transcript contains the original
task and the complete fresh reasoning/actions/results. final_reasoning and
final_answer come from the same generated final turn. All text is model-authored
and unedited. Native responses and exact teacher messages are retained locally;
the complete teacher messages and execution events are also in raw/<task_id>.json.
| Task / readable trajectory | Status | Notes | Turns | Tool calls |
|---|---|---|---|---|
| n1_03121 | done | 2 | 4 | 2 |
| n1_03542 | done | 3 | 4 | 2 |
| n1_02769 | done | 3 | 4 | 3 |
| n1_03008 | done | 2 | 3 | 2 |
| n2_03469 | done | 2 | 8 | 6 |
| n2_09243 | done | 2 | 3 | 2 |
| n2_04802 | done | 3 | 5 | 4 |
| n2_10000 | done | 2 | 3 | 2 |
| n2_07291 | done | 2 | 4 | 3 |
| n2_05014 | done | 2 | 7 | 5 |
| n3_01880 | done | 3 | 4 | 2 |
| n3_14612 | done | 2 | 4 | 2 |
| n3_08986 | done | 2 | 4 | 2 |
| n3_02995 | done | 3 | 6 | 4 |
| n4_02832 | done | 2 | 4 | 3 |
| n4_06909 | done | 2 | 13 | 11 |
| n5_07834 | done | 2 | 4 | 2 |
| n5_04101 | done | 2 | 6 | 4 |
| n5_09441 | done | 2 | 7 | 6 |
| n5_05607 | done | 2 | 4 | 2 |
Provenance and files
Manifest, structural validation, actor system, teacher memory instruction. The underlying C&H environment is synthetic, from Harvey Labs (MIT); the source note/session datasets are MIT. These records contain synthetic firm tasks and documents, not real client material. Model licensing remains governed by Qwen's model license. Code snapshots and JSONL versions accompany the tables.
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