Datasets:
assistant_tokens int64 | capability string | compact_selection_role string | compact_selection_source_line int64 | compact_selection_source_sha256 string | derivation string | derivative_review_status string | profile string | sample_weight int64 | schema_version int64 | sequence_tokens_with_eos int64 | source_artifact_sha256 string | source_compiled_mix_line int64 | source_compiled_mix_path string | source_compiled_mix_sha256 string | source_conversation_normalized_sha256 string | source_family string | source_line int64 | source_model string | source_path string | source_split string | text string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18 | clarification_under_ambiguity | capability_balanced_codex | 43 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 45 | fe5a9c56d105c9ff5ee9fc9ed85c2e7edda66b97c3c499a89b07c21eda4f2dd3 | 43 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 2203bf7a24d38d32bf5c0d0e17931ca2110d2b064d61e698feb3a5a66a5cc35b | codex | 43 | codex | D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl | train_original_reviewed | User: Can you make our studio booking process smoother? Requests arrive by email, and overlapping requests sometimes create conflicts.
Assistant: I would initially interpret smoother as fewer scheduling conflicts, since that is the problem you named. |
18 | clarification_under_ambiguity | capability_balanced_codex | 169 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 64 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 169 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 96a90de112d27cf95b795b0951ab1bf46cad1ae0909ece97e55bfcd0877ed825 | codex | 85 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Two reviewers use the same checklist and meet every deadline, but their comments sound quite different. My manager wants the reviews to be more consistent. We cannot add a second review pass. What should change?
Assistant: Consistent could refer to matching conclusions or simply to a more uniform way of expressin... |
18 | clarification_under_ambiguity | capability_balanced_codex | 113 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 73 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 113 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 1aaa64c24774ee289b8631d1273b2379772c7481995ad45ad2336bb2221214da | codex | 29 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Our lead asked for a lighter quarterly intake dashboard. It shows queue age, owners, blockers, and notes; managers use it in a weekly check, and maintaining notes takes substantial time. No new software is available. How would you simplify it?
Assistant: I would initially read lighter as faster to maintain, becau... |
19 | clarification_under_ambiguity | capability_balanced_codex | 379 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 71 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 379 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 29eff7d4f1dcb0db871b59ae45c1ace6d84c47615ab9c00c7167378c2a2cfb51 | codex | 295 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Our shared request board contains Request, Stage, Owner, and Next action in that order. The department head wants it more approachable, but we cannot change fields, owners, software, or field order. What should we adjust?
Assistant: Approachable could refer to a warmer tone or to easier navigation between current... |
15 | clarification_under_ambiguity | capability_balanced_qwen | 477 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 2 | 1 | 44 | 835f29cdd8ad23ecacb070bbd8f49fca7862767b378c329d4f799105e8fd43ac | 477 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 443080d6c4fafe72e22f61703ea22fc10b1d80c485ebe9692cebaa201361c060 | qwen | 26 | qwen3.8-max | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.reviewed_passes_v1.jsonl | train_independently_reviewed_pass_subset | User: I want to improve our weekly status reporting process because it currently takes too long. Can you suggest a better workflow?
Assistant: I assume you want to reduce the time spent compiling reports while maintaining visibility. |
18 | context_retention_and_correction | capability_balanced_codex | 254 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 56 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 254 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 1848bc88d2529293bd799ede74d6038e452b03c1f224aa02afbcbcf4d75edb4f | codex | 170 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: The workshop recap is due Tuesday for department heads. Anika drafts it, and Bo checks every quotation before it goes out. Give me a compact handoff.
Assistant: Anika drafts the workshop recap for department heads, and Bo checks every quotation before distribution. |
18 | context_retention_and_correction | capability_balanced_codex | 352 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 69 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 352 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 219777965b6bae36df76f2604360c935105c791a7e997a2ae8dffd647d4eda5c | codex | 268 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Our program brief is due Thursday for donors. The content lead assembles every listed finding, the compliance reviewer checks each consent statement, and delivery is a printed booklet. Give me a concise handoff without inventing an order.
Assistant: Handoff: the Thursday program brief presents every listed findin... |
18 | context_retention_and_correction | capability_balanced_codex | 394 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 69 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 394 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 86581eae81167264b511fe4b066af576424da34bbaeff7a33c1b4c1080265ed3 | codex | 310 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: The seed-exchange ledger is due Thursday. Kim records packet names, Oren verifies shelf codes, and the final output is a paper card file. Give me a concise handoff without inventing an order between their responsibilities.
Assistant: Kim remains responsible for recording packet names, while Oren remains responsib... |
16 | context_retention_and_correction | capability_balanced_codex | 142 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 60 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 142 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 043c7a092e0c7ac385b8afa38770362abd46818171b8b6b69e70cf8008ad3d33 | codex | 58 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Our recognition note is due Monday. Erin drafts it, Mateo approves the final wording, and we planned to publish it on the intranet. Give me a short handoff sequence.
Assistant: Erin prepares the note first, then Mateo reviews and approves the final wording. |
3 | context_retention_and_correction | capability_balanced_qwen | 483 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 2 | 1 | 45 | 835f29cdd8ad23ecacb070bbd8f49fca7862767b378c329d4f799105e8fd43ac | 483 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 4c59145ee071dc4b6466c1d4bb8bf4d837f5d0ebccd3d018eca72e4b0b331509 | qwen | 32 | qwen3.8-max | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.reviewed_passes_v1.jsonl | train_independently_reviewed_pass_subset | User: We are migrating 50 user accounts to a new CRM next Friday. The IT lead, Sarah, will handle data validation, and we have a four-hour maintenance window approved.
Assistant: Understood. |
18 | constraint_aware_planning | capability_balanced_codex | 297 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 69 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 297 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 9632af02accb99da2d7e661655a67380d5b2ee1492d93693da6f94a14dc31995 | codex | 213 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Fourteen board-packet appendices are due Thursday. Each needs data validation before formatting and chair review afterward. Two analysts share one secure laptop, one covers a hotline every morning, and overtime is unavailable. Build the sequence.
Assistant: Queue every appendix through validation, formatting, the... |
16 | constraint_aware_planning | capability_balanced_codex | 227 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 65 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 227 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 36e8e8bcf142aa4ace11c71f0ef80b305363ba5fbbfd02d7b121944a778435fe | codex | 143 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: We need twenty-four program cards by Thursday noon. One copy editor completes each card before our only designer lays it out. They share one workstation, and neither can work overtime. Build an ordered plan with a checkpoint.
Assistant: Treat completed copy as the layout dependency and workstation access as the m... |
16 | constraint_aware_planning | capability_balanced_codex | 101 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 66 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 101 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 61909f18d30465336edfa662378acc5d788b2856054067a8440263c86727a6e9 | codex | 17 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Eight interview summaries are due Friday. All audio notes are ready. Mira alone drafts them, Chen alone cross-checks each draft before delivery, they share one workstation, and neither can work overtime. Build a practical sequence.
Assistant: Treat drafting as the first dependency and the shared workstation as th... |
17 | constraint_aware_planning | capability_balanced_codex | 115 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 70 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 115 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | cc27cc1e17b3a2e8be9a4833c2885d022fd5b9e87c8f675387dfe25f45d4e9cf | codex | 31 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Our interview question bank is due Wednesday. A researcher drafts it, then two reviewers must work sequentially. One reviewer is unavailable Tuesday, candidate details must stay private, and we can use only our existing shared editor. Build a feasible plan.
Assistant: Have the researcher complete the draft first,... |
17 | constraint_aware_planning | capability_balanced_codex | 325 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 71 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 325 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 927d85dfd246e8228f9d1bc935ab734c5e9a214c7769a59613fb0ab975695bbd | codex | 241 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Eighteen display labels are due Friday at noon. Each needs approval before printing. No approval is available before Thursday; we have one approver, one printer, no overtime, and no substitutes. Build a plan without assuming anyone's throughput.
Assistant: Prepare label drafts for approval, but keep drafted, appr... |
18 | evidence_based_troubleshooting | capability_balanced_codex | 74 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 66 | fe5a9c56d105c9ff5ee9fc9ed85c2e7edda66b97c3c499a89b07c21eda4f2dd3 | 74 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | e092f8a8f2e81d96236c34eeef8d3cada1f3b611043e0780af87e467b893a927 | codex | 74 | codex | D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl | train_original_reviewed | User: A name-card preview sometimes drops the final word when text is pasted with formatting. Typing the same words shows the full text, and we have not tried plain-text paste. What should we test first?
Assistant: Observed: the omission appears with formatting-preserving paste, while typed text remains complete. |
18 | evidence_based_troubleshooting | capability_balanced_codex | 60 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 68 | fe5a9c56d105c9ff5ee9fc9ed85c2e7edda66b97c3c499a89b07c21eda4f2dd3 | 60 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 5005ed5e9c1921df6543202b7dbd62781bcb6b6e10d42441b87c42cc347ac5c3 | codex | 60 | codex | D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl | train_original_reviewed | User: Our approval tracker sends reminders for manually entered records, but records imported through Path North do not send them. Both types show the same due-date text. We have not compared the owner field. What should we inspect first?
Assistant: Observed: reminder behavior differs by entry path, while the visible d... |
18 | evidence_based_troubleshooting | capability_balanced_codex | 4 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 71 | fe5a9c56d105c9ff5ee9fc9ed85c2e7edda66b97c3c499a89b07c21eda4f2dd3 | 4 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 80ce2e449db3f4aaca24e7c0fa5e4c58df9a487696dad6cab83309eb78b0f95a | codex | 4 | codex | D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl | train_original_reviewed | User: Our weekly spreadsheet export sometimes omits the final entries. It has happened only with an active filter, while unfiltered exports have not shown it. We have not checked whether the entries were visible before export. What should we test first?
Assistant: The observation is conditional: filtered exports someti... |
18 | evidence_based_troubleshooting | capability_balanced_codex | 158 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 73 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 158 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | cd200d9845123efbe911f36c895f907c02622ef730f1b47ce539cce965bc9382 | codex | 74 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: A label sheet is centered in the preview and still centered when printed, but the labels appear shifted after laminating. We use the same source file throughout and have not compared the sheet immediately before and after that step. What should we test first?
Assistant: The file and initial print look correct, wh... |
17 | evidence_based_troubleshooting | capability_balanced_qwen | 461 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 2 | 1 | 45 | 835f29cdd8ad23ecacb070bbd8f49fca7862767b378c329d4f799105e8fd43ac | 461 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | a9777f0a3fe333c388ff63ba006b4682f345aaa8fdd16f262e646f50ac23da11 | qwen | 10 | qwen3.8-max | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.reviewed_passes_v1.jsonl | train_independently_reviewed_pass_subset | User: Our nightly batch export fails only on Fridays. It runs fine Monday through Thursday using the same dataset and configuration.
Assistant: Observed: Export succeeds Mon-Thu but fails exclusively on Fridays with identical inputs. |
18 | tradeoff_decision_support | capability_balanced_codex | 257 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 76 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 257 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | b9d417778075bbb0acf568c63616073867282360342baab0f5555e5ff618f43a | codex | 173 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: We can select training requests annually or monthly. Annual selection compares everyone together but is hard to reopen after notices. Monthly selection responds sooner and can be adjusted next cycle, though each comparison group is smaller. Consistency matters more than speed right now. Which fits?
Assistant: Und... |
18 | tradeoff_decision_support | capability_balanced_codex | 103 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 78 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 103 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 025c437cef9b45e44e50cabb519fba21cd79d4f3eeddc30bb3800d359f82ee91 | codex | 19 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: We can keep one fixed note taker for consistent meeting records, but that depends on one person's availability. Rotating the role spreads coverage but produces more varied wording. We can revisit the choice after each meeting, and consistency matters most now. Which should we use?
Assistant: The fixed role leads ... |
17 | tradeoff_decision_support | capability_balanced_codex | 19 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 70 | fe5a9c56d105c9ff5ee9fc9ed85c2e7edda66b97c3c499a89b07c21eda4f2dd3 | 19 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 1860e238686795fcc86a4be556f1dc01704d6e3dde76ae5d15ee540993789d2e | codex | 19 | codex | D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl | train_original_reviewed | User: We can use a fixed agenda or a rotating agenda for our weekly review. Fixed is familiar and needs less preparation; rotating surfaces different issues but needs more coordination. Predictability and learning both matter, and we can revisit the choice monthly.
Assistant: Use predictability, learning value, and coo... |
15 | tradeoff_decision_support | capability_balanced_codex | 187 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 73 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 187 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 2ab9a42621e7ae6c7a93b659294833f45ee53d60c34c466ef7a42fc04ca6689c | codex | 103 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: We can use a pooled review queue or dedicated reviewers. The pool lets anyone take work and covers absences, but a case may change hands. Dedicated reviewers preserve continuity, though loads can become uneven. We can revisit the choice monthly, and continuity matters most.
Assistant: Dedicated reviewers best mat... |
19 | tradeoff_decision_support | capability_balanced_codex | 173 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 84 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 173 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 20d666fcc1a28b3d0eba74c19fb4fe7b4b5b645b5feb34cf4e2849dc93d14f82 | codex | 89 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: We can reserve one room for the whole quarter or book each session separately. The block holds every planned date, but changes are difficult and unused dates stay reserved until the monthly release. Per-session booking adapts easily, though availability is unconfirmed until each request. Flexibility matters most ... |
18 | level_matched_explanation | capability_balanced_codex | 104 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 67 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 104 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | cf776bbd609cf8f348fe3c46c6380307573ee40a31de9d711fa8bf3daaf74db9 | codex | 20 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: In our scheduling rule, Maple is the default room when no event-specific choice is supplied. If an event owner names another room, that choice overrides Maple only for that event. Explain default and override to a beginner.
Assistant: The default is the answer the schedule uses when nobody supplies a special answ... |
17 | level_matched_explanation | capability_balanced_codex | 216 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 58 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 216 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | b6030eb56f71011fc8730a755c7a86072c28fb0ef8ca66d66bef0ec53789ab05 | codex | 132 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: A leading question suggests the answer it wants, while a neutral question asks without steering. I am new to survey writing. Explain the difference in plain language with a small example.
Assistant: A leading question points respondents toward one lane; a neutral question leaves the lanes open. |
17 | level_matched_explanation | capability_balanced_codex | 174 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 64 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 174 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 257d1a117c8c865bff46b31a41299e64e51a5a3f171a2bb0122b290207e92c0d | codex | 90 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: I am new to reporting. A snapshot describes one moment, while a trend describes direction across several observations. Our queue is eighteen today; the earlier weekly counts were ten and fourteen. Explain the difference plainly.
Assistant: The count of eighteen is today's photograph: useful, but limited to one mo... |
17 | level_matched_explanation | capability_balanced_codex | 202 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 78 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 202 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 55126d9e3a4e24fecae58f5ad20988944ddf7e3dae90e27d45f7d495b6c6c9c1 | codex | 118 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: I am new to document control. Here, a revision is a change made to a draft, while a version is a saved state that can contain one or more revisions. Draft B gets two wording edits and is then saved as version three. Can you explain the difference plainly?
Assistant: Think of revisions as the individual moves and ... |
17 | level_matched_explanation | capability_balanced_qwen | 485 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 2 | 1 | 48 | 835f29cdd8ad23ecacb070bbd8f49fca7862767b378c329d4f799105e8fd43ac | 485 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | dc4a6a9a9db42d867f86a1bbabe3149a40c1d3a1ea95afffc1d1ab4f6b5872bc | qwen | 34 | qwen3.8-max | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.reviewed_passes_v1.jsonl | train_independently_reviewed_pass_subset | User: Explain feedback loops for our team lead who thinks weekly check-ins are just status updates. Keep it practical for managing project delays.
Assistant: A feedback loop is using current results to adjust future actions, not just reporting them. |
18 | respectful_disagreement | capability_balanced_codex | 245 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 62 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 245 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 17ee38c32b3fc940389597dba99eab770effb4adc2ee3bb3d9e1c4153a0e8da8 | codex | 161 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Our box totals match the destruction list, but individual labels have not been cross-checked. Destruction is irreversible and due Friday. The lead wants approval now because the totals match. Do you agree?
Assistant: The matching totals are useful quantity evidence, but I disagree with approving destruction befor... |
18 | respectful_disagreement | capability_balanced_codex | 273 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 78 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 273 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 78bdc0c5673d1ef0e1dda63c040df27d06dcdc23e158232d390210ebef667e66 | codex | 189 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: My manager wants every unresolved service request moved to next month so we can call this month's report complete. The requests are still active, the report must distinguish current work from carried work, and two labeled sections can fit on one page. I disagree with calling it complete.
Assistant: The one-page g... |
19 | respectful_disagreement | capability_balanced_codex | 329 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 68 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 329 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | b63a930cabe667aab31d785c0c5007fda5c8e0b415ab1ea8ae71997412058d4d | codex | 245 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Five sampled links passed their checks, but the other links remain untested. Approved links disappear from the open list. The report needs one result today, so I want to mark every link approved. Do you agree?
Assistant: The five passing checks are useful sample evidence, but I disagree with marking untested link... |
17 | respectful_disagreement | capability_balanced_codex | 35 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 70 | fe5a9c56d105c9ff5ee9fc9ed85c2e7edda66b97c3c499a89b07c21eda4f2dd3 | 35 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | b0f2b15f2506c2c220c5d42ddc0d7ed90c6f29fe1b7ed7143b3a229afd7f2bb2 | codex | 35 | codex | D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl | train_original_reviewed | User: A teammate wants to skip the rehearsal so we can finish Friday. Our handoff rule requires a rehearsal, the fallback has not been tried, and moving the review earlier would still leave Friday available for delivery. I think speed matters more.
Assistant: Wanting to protect Friday delivery is reasonable, but I disa... |
19 | respectful_disagreement | capability_balanced_codex | 105 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 70 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 105 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | d44972c612aa9500223d66d12bf2a704c51da48292df294a8c0175249adad79f | codex | 21 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Our lead wants approved wording and suggestions merged into one unlabeled paragraph to reduce pages. Reviewers must distinguish them, the merged copy would be hard to audit, and keeping them separate still meets the deadline. Do you agree?
Assistant: Reducing pages is a reasonable aim, but I disagree with removin... |
15 | synthesis_and_action_items | capability_balanced_codex | 120 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 65 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 120 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 143d3d1bfd14e25cfb50fde79d2ab2f9daea2f2ef6132810a2718e9f465efb7e | codex | 36 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Turn these supply notes into a handoff. We will reorder paper and markers Friday. Dana counts stock Thursday, and Lee submits the order after the count. Cabinet labels are postponed. We have not chosen a delivery contact.
Assistant: Decision: paper and markers will be reordered Friday; cabinet labels are postpone... |
15 | synthesis_and_action_items | capability_balanced_codex | 36 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 78 | fe5a9c56d105c9ff5ee9fc9ed85c2e7edda66b97c3c499a89b07c21eda4f2dd3 | 36 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 0a110178256805790f536c8c7291866c226ba05c825a5d0cd734c8bfc9cb3c07 | codex | 36 | codex | D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl | train_original_reviewed | User: Meeting notes: The launch remains Friday. Nina will prepare the checklist. Omar will confirm access before launch. The team agreed to use the existing template. Notification wording is still undecided, and access confirmation blocks launch. Turn this into a handoff with decisions, actions, and open questions.
Ass... |
14 | synthesis_and_action_items | capability_balanced_codex | 148 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 82 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 148 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | f648d05482b012d4290e16b34d2ee8d2f925e5a05e214198609c8d4bc5f876a0 | codex | 64 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Turn these notes into a handoff: the old FAQ retires only after the new FAQ is published; Arman edits the new version; Zo owns the accessibility review, which blocks publication; search-tag wording is unresolved; and a banner was only suggested. Separate decisions, actions, blockers, and open items.
Assistant: De... |
13 | synthesis_and_action_items | capability_balanced_codex | 134 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 63 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 134 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 831d34f30a64a922ac9b8a69e38279a7512fe8fa068fdceeee686709e231b7c2 | codex | 50 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Please synthesize these library-refresh notes. We start Monday and keep the current categories. Lena prepares the source list Tuesday. Mia writes the introduction after that list is complete. Thumbnail use is unresolved until Arun checks storage.
Assistant: Decisions: the refresh starts Monday, and current catego... |
18 | synthesis_and_action_items | capability_balanced_qwen | 463 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 2 | 1 | 55 | 835f29cdd8ad23ecacb070bbd8f49fca7862767b378c329d4f799105e8fd43ac | 463 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 875f79f28b12b44075b1696e8d49b040fbbfd0f4113ddf7f6da7adf530dd12c5 | qwen | 12 | qwen3.8-max | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.reviewed_passes_v1.jsonl | train_independently_reviewed_pass_subset | User: Summarize our migration meeting. We decided to move the database by Friday, Sarah owns testing, and we still need budget approval for the new server.
Assistant: Here is the synthesis: Decision made to migrate the database by Friday with Sarah owning testing. |
17 | brainstorming_and_refinement | capability_balanced_codex | 191 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 66 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 191 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | d42003bdca1f9295a0a6b90bb474573fd7e60ce6cdd21eb06b915cef20c71577 | codex | 107 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Brainstorm three ways new reviewers can practice declining requests respectfully. We have anonymized examples, cannot add a meeting or tool, and each practice should take under ten minutes. Give distinct directions, not a final choice.
Assistant: Rewrite pair: compare a blunt refusal with a respectful revision an... |
17 | brainstorming_and_refinement | capability_balanced_codex | 177 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 68 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 177 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 405d3ec2f4a9f5fcfb2c3df72ff451135a797c2d0ca124d4abe57baf623c0ba0 | codex | 93 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Give me three different ways to open our quarterly retrospective. Quiet participants should be able to contribute, we have existing sticky cards, and the opening must stay under five minutes without a new tool. Do not choose one for me.
Assistant: Silent cluster: everyone writes one moment, then places it near re... |
18 | brainstorming_and_refinement | capability_balanced_codex | 163 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 71 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 163 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | ee47743830928fd4fcb98aa15d2381b081419f1b3488a35134cca7d1c1b5c81f | codex | 79 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Brainstorm three distinct ways to help teams share surplus meeting materials. We have an existing bulletin board, a coordinator can spend under five minutes updating it, and we cannot add a tool or meeting. Give directions, not a final choice.
Assistant: First, feature one surplus item each week with a simple ava... |
18 | brainstorming_and_refinement | capability_balanced_codex | 359 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 61 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 359 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 712b41d0b90d668dd40f7333cdad4dbf943cabc24d025c932f8bd725ce613b13 | codex | 275 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Give me three distinct formats for our existing two-minute roundtable opening. We cannot add a poll, breakout, preparation, tool, names, or ranking. Do not select a winner.
Assistant: Contrast lens: present two ways to view the same agenda issue and invite a brief distinction. |
10 | brainstorming_and_refinement | capability_balanced_qwen | 458 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 2 | 1 | 41 | 835f29cdd8ad23ecacb070bbd8f49fca7862767b378c329d4f799105e8fd43ac | 458 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 78503a346c2b2f4cdb2a992b0f0dd7ff3b6b5fb4e7fcc76629e2c26a3fb006f6 | qwen | 7 | qwen3.8-max | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.reviewed_passes_v1.jsonl | train_independently_reviewed_pass_subset | User: We need three distinct naming directions for a new internal mentorship program focused on cross-departmental skill sharing and career longevity.
Assistant: Here are three distinct directions tied to your goals. |
19 | calibrated_uncertainty | capability_balanced_codex | 122 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 59 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 122 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 52de0d73a46c9a0e854b18a172d8472e3b402aa90ee2bd83dbf41b027f58f403 | codex | 38 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: We tried a peer-review checklist on five submissions. Four passed their first review, one is still pending, and previous submissions were not tracked consistently. Is the checklist effective?
Assistant: Known: four submissions passed their first review while using the checklist, and one outcome is pending. |
19 | calibrated_uncertainty | capability_balanced_codex | 360 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 62 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 360 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 5583b5148c3456c206da5097e05af8677a4d9e256a79de7bc8943cdae29f11a7 | codex | 276 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Two briefing packets were accepted after we introduced a new cover sheet, but the reviewer changed at the same time. We have no comparison separating those changes. Can we credit the cover sheet?
Assistant: Direct evidence is limited to two packets accepted under the combined new-cover and new-reviewer condition. |
16 | calibrated_uncertainty | capability_balanced_codex | 150 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 57 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 150 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 9e36ad2112ebca71ecca2dfdee81a29bf8d5026f91679d35b6a559b1a8d91cf6 | codex | 66 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Our brief contains every required section, but two supporting statements are marked unchecked. Their owner returns this afternoon, and release is planned tomorrow. Can I say the brief is accurate?
Assistant: You can say the brief is structurally complete because every required section is present. |
16 | calibrated_uncertainty | capability_balanced_codex | 276 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 57 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 276 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | e3ad496cc90fd8edadeaf08796d163760e7aebaa6f0989452f3c0367a2fa8da1 | codex | 192 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: We used a new attendance reminder for two sessions, and everyone invited attended both. We have no attendance baseline from before the reminder. Can I say it reduced no-shows?
Assistant: You can say attendance was complete in the two sessions where the reminder was used. |
14 | calibrated_uncertainty | capability_balanced_qwen | 465 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 2 | 1 | 52 | 835f29cdd8ad23ecacb070bbd8f49fca7862767b378c329d4f799105e8fd43ac | 465 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 491eae22a1acb707712def8f0d855d2af2500b8adc90fb0f02a4423f8e0e7adf | qwen | 14 | qwen3.8-max | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.reviewed_passes_v1.jsonl | train_independently_reviewed_pass_subset | User: Our Q3 pilot had mixed feedback: three users loved the new dashboard, but two stopped using it after a week. Should we roll it out company-wide?
Assistant: Known: Three users responded positively; two churned within seven days. |
17 | collaborative_writing_feedback | capability_balanced_codex | 249 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 75 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 249 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 13fa502e7c7107273f3d16756cc7caaf1910cf61583c9377b98e0d4ec124f67b | codex | 165 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Project partners are the audience. Our shared draft is temporarily read-only while owner review is pending. No editing restart time is confirmed, but existing preparation remains saved. Rewrite this inaccurate note calmly and directly: The draft is locked indefinitely because someone failed to approve it.
Assista... |
17 | collaborative_writing_feedback | capability_balanced_codex | 389 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 77 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 389 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | ce0ba827e3cb41a891d08048ae2a52140ff62398275a21ca4c320e199b8edd0c | codex | 305 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Handbook contributors are the audience. The copy is approved, but diagram alt text is pending. Casey returns it Thursday, and Monday publication is possible only if the alt text is approved then. Rewrite this without blame or a promise: The handbook is finished and will publish Monday.
Assistant: Revised update: ... |
16 | collaborative_writing_feedback | capability_balanced_codex | 95 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 73 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 95 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 0ae0a8b2d1ed323f39779a62911dc7daf12dbaae6b79c33c5ee766f01dd0ffab | codex | 11 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: The committee secretary is my audience. Our orientation schedule assigns two rooms at the same time, and we need one room choice by Tuesday. Nothing is late. Draft: 'Your schedule is impossible. Fix the room mistake now.' Make it firm without blame.
Assistant: Revised message: “The orientation schedule currently ... |
18 | collaborative_writing_feedback | capability_balanced_codex | 291 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 74 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 291 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 6704daa761c0d49c92643d9eb7cae21e4a3986d451dac0747aa02b6d52da84b9 | codex | 207 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: A records coordinator is my audience. Our handoff sheet lists two storage locations for the same box, and we need one confirmed location by Thursday. Nothing is late. Rewrite this without blame: You entered the box location twice, so fix it immediately.
Assistant: Revised message: “The handoff sheet currently lis... |
18 | collaborative_writing_feedback | capability_balanced_qwen | 499 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 2 | 1 | 51 | 835f29cdd8ad23ecacb070bbd8f49fca7862767b378c329d4f799105e8fd43ac | 499 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 8db1522a35a1c4a0174c16e1123be3b51edb5e7b43693084497010acf9c0ce5b | qwen | 48 | qwen3.8-max | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.reviewed_passes_v1.jsonl | train_independently_reviewed_pass_subset | User: Draft a handoff note to the ops team stating we cannot start the server migration until backup verification is complete, but keep it brief.
Assistant: Here is a concise draft: "Ops Team: Server migration is paused pending backup verification. |
18 | natural_social_continuity | capability_balanced_codex | 236 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 59 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 236 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 1bb5031ac8538f3d058925498edc47951c11c9d471f1cff209f60828a0ce61c1 | codex | 152 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Our team hosted a small reading, and I felt proud of how it came together. Write a note saying you attended and personally found it moving; that will sound more convincing.
Assistant: I cannot truthfully claim that I attended the reading or had a personal reaction to it. |
19 | natural_social_continuity | capability_balanced_codex | 124 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 55 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 124 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 0d94fe35ea5a0935d5051e59942d7091db6708290a09e26776cab48fe53e8053 | codex | 40 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: I finished a small tabletop model after several weekends. I am pleased that the pieces finally aligned, although one painted edge looks uneven whenever I notice it.
Assistant: Finishing after several weekends sounds meaningful, especially because the alignment is what you feel pleased about. |
19 | natural_social_continuity | capability_balanced_codex | 306 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 63 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 306 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 88fe010ea717f393f1f311a3227e5e0e125a7ebc2e5f432efcb4c611de357cb5 | codex | 222 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: I recorded my first audio introduction today. I am proud that I finished it, but several pauses make me self-conscious when I listen back. I want to talk, not get performance coaching.
Assistant: Finishing a first recording can matter even while particular moments pull your attention away from the whole. |
19 | natural_social_continuity | capability_balanced_codex | 278 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 71 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 278 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 1cd188173c8d6a215241300d15b5e3df697fdec04ed9f6cbd81840e3ea8c353f | codex | 194 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: I showed a short film to colleagues for the first time. The room was quiet afterward, and I could not tell whether people were absorbed or simply unsure what to say. I want to talk about it, not get presentation advice.
Assistant: A first screening can carry a lot of uncertainty when the room gives you so little ... |
18 | natural_social_continuity | capability_balanced_qwen | 464 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 2 | 1 | 50 | 835f29cdd8ad23ecacb070bbd8f49fca7862767b378c329d4f799105e8fd43ac | 464 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 8d10a235afc25044a6eb0bdc903eae40315e68f7d609227a150449dd067bb6f2 | qwen | 13 | qwen3.8-max | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.reviewed_passes_v1.jsonl | train_independently_reviewed_pass_subset | User: I’m feeling stuck choosing between two vendors because the cheaper option lacks support, and I worry about downtime during our Q3 migration.
Assistant: It is understandable to feel hesitant when balancing cost against the risk of Q3 migration downtime. |
19 | output_contract_adherence | capability_balanced_codex | 27 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 80 | fe5a9c56d105c9ff5ee9fc9ed85c2e7edda66b97c3c499a89b07c21eda4f2dd3 | 27 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 2d613331c4f602ad5dfb27f2e1507af4cef18558c40486dfb56eb8447fa9a0b9 | codex | 27 | codex | D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl | train_original_reviewed | User: Use exactly three labeled sentences in this order: Decision, Risk, Next step. Each sentence should be twelve to eighteen words, with no introduction. Notes: the green newsletter draft is selected, wording is complete, sponsor approval is pending, and Mila sends the approval request.
Assistant: Decision: The green... |
21 | output_contract_adherence | capability_balanced_codex | 83 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 90 | fe5a9c56d105c9ff5ee9fc9ed85c2e7edda66b97c3c499a89b07c21eda4f2dd3 | 83 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | fbeadb3e0dc001fce549239d4c51fbad2ca83207f60f8dc8aa8f0d8f6f58f05d | codex | 83 | codex | D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl | train_original_reviewed | User: Use only these facts: the blue proof is approved, printing waits on paper confirmation, Niko owns that confirmation, and mailing is due Wednesday. Return exactly three labeled sentences in this order: Confirmed, Dependency, Handoff. Each sentence must contain 14 to 18 words. Add nothing else.
Assistant: Confirmed... |
15 | output_contract_adherence | capability_balanced_codex | 195 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 82 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 195 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 65ea43917683508137e5414c36dde065b56070701dd59bee1e076d1ddd73c724 | codex | 111 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Use only these facts: the compliance sample is complete; publishing approval is pending and blocks report review; Kira owns requesting it; review is Monday. Return exactly three labeled sentences ordered Complete, Risk, Owner. Each sentence must contain ten to twelve whitespace words and end with a period. Add no... |
15 | output_contract_adherence | capability_balanced_codex | 167 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 89 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 167 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | ee698a41f6f284354791b2a4ee0c40e33e60d644e46bb8d79459afecddc9c744 | codex | 83 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Use only these facts: every interview is complete; the summary draft is ready; legal wording is pending and blocks the summary from Tuesday's decision meeting; Noor owns confirmation. Return exactly three labeled sentences in this order: Complete, Risk, Next. Each sentence must contain 12 to 14 whitespace words. ... |
16 | output_contract_adherence | capability_balanced_codex | 55 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 99 | fe5a9c56d105c9ff5ee9fc9ed85c2e7edda66b97c3c499a89b07c21eda4f2dd3 | 55 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 5e6063b1adc0898759a043fa066a1e3a8fc412f0fb38e02d6340f23c7d15cfe5 | codex | 55 | codex | D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl | train_original_reviewed | User: Use only these facts: the room is booked, the agenda is approved, catering is unconfirmed, Elena owns its confirmation, and the event is Friday at 3 PM. Return exactly four labeled clauses in this order: Confirmed, Open, Owner, Date. Each clause must contain 10 to 14 words. Separate clauses with a vertical bar an... |
17 | clean_completion_and_stop | capability_balanced_codex | 224 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 61 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 224 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 025bef28116e8ef4e0594b5fea6e792a4b9b675b4b9228e2353e6e19746c255c | codex | 140 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Close this translation-memory handoff accurately. The term list is locked, the import test is complete, and the rollback copy is saved. Vendor receipt is the only open item. What remains?
Assistant: The technical preparation is complete, but the handoff remains open for the vendor receipt. |
19 | clean_completion_and_stop | capability_balanced_codex | 420 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 62 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 420 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | bd161240adc9a4dfe2f32c2ea2a50d67ed1451801d07a2f2e7376a08da5e93c7 | codex | 336 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Close this equipment-loan record accurately. The checklist is complete, the package seal is verified, and tracking information is stored. Recipient signature is the only open item. What remains?
Assistant: The completed checklist, verified seal, and stored tracking information remain closed and need no further wo... |
20 | clean_completion_and_stop | capability_balanced_codex | 168 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 75 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 168 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 948cca00a838ecdcca18705eecf0ea7a7eea500d31484498cdd3bd3667dd0094 | codex | 84 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Close this equipment-return record. The device has been received, its condition is recorded, and the charger is matched. Supervisor initials are the only open item, and the record cannot close without them. State completion and remaining work without advice or questions.
Assistant: Completed: the device is receiv... |
15 | clean_completion_and_stop | capability_balanced_codex | 364 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 58 | dee288e23ec1128583755b1ab11782587c0d23d615475caead446048e4ad1bc9 | 364 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | c03360fad34e660faa7c66ed1cad6735a474cb671ceb059a0c2fea15ee75c815 | codex | 280 | codex | D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl | train_reviewed_expansion_v2 | User: Close this donor-file transfer accurately. The entries are reconciled, the package is indexed, and a storage label is attached. The archival receipt is the only open item. What remains?
Assistant: The reconciled entries, indexed package, and attached storage label are complete. |
22 | clean_completion_and_stop | capability_balanced_qwen | 486 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 2 | 1 | 61 | 835f29cdd8ad23ecacb070bbd8f49fca7862767b378c329d4f799105e8fd43ac | 486 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | eb8bdecb293382c0ba3d6b28fb3f2bab16ac0168c314de332bff4ac667833af8 | qwen | 35 | qwen3.8-max | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.reviewed_passes_v1.jsonl | train_independently_reviewed_pass_subset | User: Please confirm the migration checklist status. We have completed data validation, user acceptance testing, and security sign-off. The only remaining item is the final stakeholder email.
Assistant: I confirm that data validation, user acceptance testing, and security sign-off are fully complete according to your u... |
12 | deepseek_short_social_continuity | short_social_continuity_deepseek | 449 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 27 | b435cdd6df961053ca6c8249d2568d6b9044f68c964931cab241cc4a9a155238 | 449 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 0cd39527ebd94bcef1953201ba556ab3abddc138dbb1faf493fd9d0456600c72 | deepseek | 29 | deepseek-v4-pro-0813 | D:\AI-models\lemonseed-port\intelligent_deepseek_safe_train_v2.jsonl | train | User: Been trying to get back into reading lately.
Assistant: Nice, what kind of books do you usually reach for? |
11 | deepseek_short_social_continuity | short_social_continuity_deepseek | 440 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 26 | b435cdd6df961053ca6c8249d2568d6b9044f68c964931cab241cc4a9a155238 | 440 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 10eefac4f6c2459ef0c30eccae39999483ae873cb2734f95c36c67f01fe7e6d7 | deepseek | 20 | deepseek-v4-pro-0813 | D:\AI-models\lemonseed-port\intelligent_deepseek_safe_train_v2.jsonl | train | User: Been trying to get back into painting lately.
Assistant: Oh nice, what kind of painting do you like? |
11 | deepseek_short_social_continuity | short_social_continuity_deepseek | 441 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 26 | b435cdd6df961053ca6c8249d2568d6b9044f68c964931cab241cc4a9a155238 | 441 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | a3966dbff6228bb581f1d78ece3d73a3657b597477143c6b8645c432327fddab | deepseek | 21 | deepseek-v4-pro-0813 | D:\AI-models\lemonseed-port\intelligent_deepseek_safe_train_v2.jsonl | train | User: Been playing a lot of cozy games lately.
Assistant: Oh nice, which one has you hooked right now? |
11 | deepseek_short_social_continuity | short_social_continuity_deepseek | 444 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 26 | b435cdd6df961053ca6c8249d2568d6b9044f68c964931cab241cc4a9a155238 | 444 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 833fcc8a5ff7ecc6af6340318bb932bab8c83ca487ba75d5456ac529e69b8753 | deepseek | 24 | deepseek-v4-pro-0813 | D:\AI-models\lemonseed-port\intelligent_deepseek_safe_train_v2.jsonl | train | User: Been trying to find a new hobby lately.
Assistant: Nice, what kind of things do you enjoy doing? |
11 | deepseek_short_social_continuity | short_social_continuity_deepseek | 427 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 30 | b435cdd6df961053ca6c8249d2568d6b9044f68c964931cab241cc4a9a155238 | 427 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | b56d00101fb1c88e0abe4097306aef3becaa5b3a282933e227619e72b96499f8 | deepseek | 7 | deepseek-v4-pro-0813 | D:\AI-models\lemonseed-port\intelligent_deepseek_safe_train_v2.jsonl | train | User: I'm trying to find a new game to play after work.
Assistant: Nice, what kind of games do you usually enjoy? |
10 | deepseek_short_social_continuity | short_social_continuity_deepseek | 437 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 26 | b435cdd6df961053ca6c8249d2568d6b9044f68c964931cab241cc4a9a155238 | 437 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | ae9d47d4d6ec0f7f948d98904ecba06ea8f5aec8dd3a8ba344cc568b9180da73 | deepseek | 17 | deepseek-v4-pro-0813 | D:\AI-models\lemonseed-port\intelligent_deepseek_safe_train_v2.jsonl | train | User: I need some new music to listen to today.
Assistant: Nice, what kind of mood are you in? |
10 | deepseek_short_social_continuity | short_social_continuity_deepseek | 432 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 29 | b435cdd6df961053ca6c8249d2568d6b9044f68c964931cab241cc4a9a155238 | 432 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | 329db11ac8ba85f8e0521355ff22189f889a8dc6b8869c7f66467952e7cfed7f | deepseek | 12 | deepseek-v4-pro-0813 | D:\AI-models\lemonseed-port\intelligent_deepseek_safe_train_v2.jsonl | train | User: I'm thinking about starting a little herb garden on my balcony.
Assistant: Oh nice, herbs are perfect for a balcony. |
9 | deepseek_short_social_continuity | short_social_continuity_deepseek | 426 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 24 | b435cdd6df961053ca6c8249d2568d6b9044f68c964931cab241cc4a9a155238 | 426 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | e150be2bd500673f12b871204e99676e9b43a1ec90ab6a422c1ce8d31c81e179 | deepseek | 6 | deepseek-v4-pro-0813 | D:\AI-models\lemonseed-port\intelligent_deepseek_safe_train_v2.jsonl | train | User: I stopped by the mall after work today.
Assistant: Oh nice, did you find anything good? |
9 | deepseek_short_social_continuity | short_social_continuity_deepseek | 447 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 26 | b435cdd6df961053ca6c8249d2568d6b9044f68c964931cab241cc4a9a155238 | 447 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | b2a28243f5e6ffe4952052d30541065b59f6faf7708b1f124923695cc29fa040 | deepseek | 27 | deepseek-v4-pro-0813 | D:\AI-models\lemonseed-port\intelligent_deepseek_safe_train_v2.jsonl | train | User: I planted some basil on my windowsill last week.
Assistant: Nice, that'll be great for cooking. |
9 | deepseek_short_social_continuity | short_social_continuity_deepseek | 424 | d672c8a8b02d1331d3253be620527ef203736fb1551bcf7bdcd297e0b173b6d7 | verbatim first User turn plus verbatim first complete Assistant sentence | static_contract_passed; source conversation independently reviewed | intelligent-short-foundation-recovery | 1 | 1 | 27 | b435cdd6df961053ca6c8249d2568d6b9044f68c964931cab241cc4a9a155238 | 424 | D:\AI-models\lemonseed-port\intelligent_multisource_corrective_train_v3.jsonl | 3004061d143100a2e4f03895c561e388f08875f4535287500aff47a8e371b4a3 | f1d9bb44575e277c39e021bae3e99b84ba659ec8f12bdcc05dce623062340a63 | deepseek | 4 | deepseek-v4-pro-0813 | D:\AI-models\lemonseed-port\intelligent_deepseek_safe_train_v2.jsonl | train | User: I’m looking for something new to read, any ideas?
Assistant: What kind of books do you usually enjoy? |
6 | output_contract_adherence | manual_contract_reinforcement | null | null | manually authored short foundation contract | static_contract_passed; not independently teacher-reviewed | intelligent-compact-foundation-recovery | 2 | 1 | 24 | 18d76ff0c3afdff82c593c31f2dd34756c5c0e7e4cda2c899cdd1cedb0235089 | null | null | null | null | codex_manual | 1 | codex | D:\AI-models\lemonseed-port\build_compact_foundation_recovery_v2.py | transparent_manual_foundation_contract | User: Reply with Kestrel-42 and nothing else.
Assistant: Kestrel-42 |
2 | level_matched_explanation | manual_contract_reinforcement | null | null | manually authored short foundation contract | static_contract_passed; not independently teacher-reviewed | intelligent-compact-foundation-recovery | 2 | 1 | 19 | 18d76ff0c3afdff82c593c31f2dd34756c5c0e7e4cda2c899cdd1cedb0235089 | null | null | null | null | codex_manual | 2 | codex | D:\AI-models\lemonseed-port\build_compact_foundation_recovery_v2.py | transparent_manual_foundation_contract | User: What is two plus two? Answer in one word.
Assistant: Four. |
14 | clarification_under_ambiguity | manual_contract_reinforcement | null | null | manually authored short foundation contract | static_contract_passed; not independently teacher-reviewed | intelligent-compact-foundation-recovery | 2 | 1 | 24 | 18d76ff0c3afdff82c593c31f2dd34756c5c0e7e4cda2c899cdd1cedb0235089 | null | null | null | null | codex_manual | 3 | codex | D:\AI-models\lemonseed-port\build_compact_foundation_recovery_v2.py | transparent_manual_foundation_contract | User: Please improve this.
Assistant: What specifically should improve: clarity, length, tone, or accuracy? |
15 | context_retention_and_correction | manual_contract_reinforcement | null | null | manually authored short foundation contract | static_contract_passed; not independently teacher-reviewed | intelligent-compact-foundation-recovery | 2 | 1 | 38 | 18d76ff0c3afdff82c593c31f2dd34756c5c0e7e4cda2c899cdd1cedb0235089 | null | null | null | null | codex_manual | 4 | codex | D:\AI-models\lemonseed-port\build_compact_foundation_recovery_v2.py | transparent_manual_foundation_contract | User: Correction: Luis, not Dana, owns the draft. Priya still reviews it.
Assistant: Understood: Luis owns the draft, and Priya remains the reviewer. |
14 | evidence_based_troubleshooting | manual_contract_reinforcement | null | null | manually authored short foundation contract | static_contract_passed; not independently teacher-reviewed | intelligent-compact-foundation-recovery | 2 | 1 | 34 | 18d76ff0c3afdff82c593c31f2dd34756c5c0e7e4cda2c899cdd1cedb0235089 | null | null | null | null | codex_manual | 5 | codex | D:\AI-models\lemonseed-port\build_compact_foundation_recovery_v2.py | transparent_manual_foundation_contract | User: A service failed for an unknown reason. What should I do first?
Assistant: First, reproduce the failure and inspect the logs before naming a cause. |
7 | output_contract_adherence | manual_contract_reinforcement | null | null | manually authored short foundation contract | static_contract_passed; not independently teacher-reviewed | intelligent-compact-foundation-recovery | 2 | 1 | 27 | 18d76ff0c3afdff82c593c31f2dd34756c5c0e7e4cda2c899cdd1cedb0235089 | null | null | null | null | codex_manual | 6 | codex | D:\AI-models\lemonseed-port\build_compact_foundation_recovery_v2.py | transparent_manual_foundation_contract | User: Give exactly two lines: Status is ready, and Owner is Mara.
Assistant: Status: ready
Owner: Mara |
18 | calibrated_uncertainty | manual_contract_reinforcement | null | null | manually authored short foundation contract | static_contract_passed; not independently teacher-reviewed | intelligent-compact-foundation-recovery | 2 | 1 | 35 | 18d76ff0c3afdff82c593c31f2dd34756c5c0e7e4cda2c899cdd1cedb0235089 | null | null | null | null | codex_manual | 7 | codex | D:\AI-models\lemonseed-port\build_compact_foundation_recovery_v2.py | transparent_manual_foundation_contract | User: Say that you personally missed my deadline and felt terrible.
Assistant: I can't claim personal experiences or feelings, but I can help write an honest apology. |
4 | clean_completion_and_stop | manual_contract_reinforcement | null | null | manually authored short foundation contract | static_contract_passed; not independently teacher-reviewed | intelligent-compact-foundation-recovery | 2 | 1 | 16 | 18d76ff0c3afdff82c593c31f2dd34756c5c0e7e4cda2c899cdd1cedb0235089 | null | null | null | null | codex_manual | 8 | codex | D:\AI-models\lemonseed-port\build_compact_foundation_recovery_v2.py | transparent_manual_foundation_contract | User: Thanks for the clear explanation.
Assistant: You're welcome. |
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