Datasets:
schema_version int64 1 1 | batch stringclasses 1
value | text stringlengths 775 1.45k | profile stringclasses 1
value | capability stringclasses 10
values | capability_ids listlengths 1 1 | scenario_ledger dict | capability_pack_sha256 stringclasses 1
value | baseline_checkpoint stringclasses 1
value | teacher_model stringclasses 1
value | author_model stringclasses 1
value | judge_model stringclasses 1
value | judge_is_independent bool 1
class | reviewer_model stringclasses 3
values | independent_review dict | teacher_response_content stringlengths 1.24k 2.11k | teacher_response dict | teacher_prompt_sha256 stringlengths 64 64 | conversation_sha256 stringlengths 64 64 | token_count int64 145 252 | orchestration_seed int64 20.3M 20.3M | provider_seed_supplied bool 1
class | attempt int64 31 1.13k | variation stringclasses 6
values | judge_response_content stringlengths 301 444 | judge dict | source_run_manifest_sha256 stringclasses 1
value | source_candidate_sha256 stringclasses 1
value | source_line int64 5 302 | source_row_sha256 stringlengths 64 64 | source_review_shard_path stringclasses 3
values | source_review_shard_sha256 stringclasses 3
values | independent_review_sha256 stringlengths 64 64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | qwen-intelligent-1h-20260824-r1 | User: Our office document scanning workflow has slowed significantly this week, taking twice as long per batch as usual.
Assistant: Observed symptom is a two-fold increase in batch processing time starting this week. Plausible explanations include network congestion during transfer or scanner hardware degradation. To d... | intelligent-conversation | evidence_based_troubleshooting | [
"evidence_based_troubleshooting"
] | {
"user_facts": [
"Office document scanning workflow slowed significantly this week",
"Batch processing now takes twice as long as usual",
"Local USB scans operate at normal speed",
"Network transfers remain slow during off-peak hours"
],
"user_goal": "Diagnose root cause of scanning slowdown usin... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 5,
"source_row_sha256": "c33d30a965bc193c14790f452885d506fc7938a74b0c6c809dc1bb6264ec1d36",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity_... | {"conversation":"User: Our office document scanning workflow has slowed significantly this week, taking twice as long per batch as usual.\nAssistant: Observed symptom is a two-fold increase in batch processing time starting this week. Plausible explanations include network congestion during transfer or scanner hardware... | {
"provider_request_id": "ad5a5443-6b25-9d62-a0f7-e24bc2445ea7",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 662,
"total_tokens": 933,
"completion_tokens": 271,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 662
}
},
"r... | 95465e233c61edba9b15a36827924639885ef54af8e17791deb079dd54661232 | c68ce30705d0cc7c255c94217f6ddb9450e53474f93b6860f72aa1fb303a0032 | 169 | 20,260,824 | false | 31 | a short professional conversation ending in a precise deliverable or clean stop | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly demonstrates evidence-based troubleshooting by separating observations from hypotheses and selecting discriminat... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly demonstrates evidence-based troubleshooting by separating observations f... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 5 | c33d30a965bc193c14790f452885d506fc7938a74b0c6c809dc1bb6264ec1d36 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 5fea1c0b590ed0f699a6202c24d4667e6f250b4e8044a229d1775a130f8f4548 |
1 | qwen-intelligent-1h-20260824-r1 | User: I need to shorten this handoff note to the design team about the Q3 dashboard delay. Keep my caveat that data validation is incomplete, but make it less wordy so they actually read it.
Assistant: Your audience is the design team, and the goal is a quick read that still flags the validation risk. Here is a tighter... | intelligent-conversation | collaborative_writing_feedback | [
"collaborative_writing_feedback"
] | {
"user_facts": [
"Handoff note is for the design team",
"Topic is Q3 dashboard delay",
"Caveat: data validation is incomplete",
"Delay applies only to the analytics module",
"User prefers concise tone"
],
"user_goal": "Shorten handoff note while preserving validation caveat and correcting sco... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 7,
"source_row_sha256": "6f656c111d832afc103c659713f4f319320a4fd88bb1816c8a11fc2b6eab62fb",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 10,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: I need to shorten this handoff note to the design team about the Q3 dashboard delay. Keep my caveat that data validation is incomplete, but make it less wordy so they actually read it.\nAssistant: Your audience is the design team, and the goal is a quick read that still flags the validation risk.... | {
"provider_request_id": "2bf2c4ca-90da-91ed-99c9-08e335475230",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 673,
"total_tokens": 999,
"completion_tokens": 326,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 673
}
},
"r... | b2b1b6403f0b45b0873dcb8dd844db58912965281b57418b34e1e19a2f482748 | 714b9984d7b4bdcadb44c1da437893de7ac8c876b062ff265455d6ede6b1cf50 | 225 | 20,260,824 | false | 38 | a calm peer-to-peer discussion in which the second user turn corrects one fact | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":10,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly executed the collaborative writing feedback capability by accurately correcting the scope to the analytics modu... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 10,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly executed the collaborative writing feedback capability by accurately co... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 7 | 6f656c111d832afc103c659713f4f319320a4fd88bb1816c8a11fc2b6eab62fb | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 12d30edd9a82d1873c0015b8b17ff6b1192fde701d864165134724c5910f9fed |
1 | qwen-intelligent-1h-20260824-r1 | User: Our batch invoice generator fails only when processing records dated after midnight on Fridays. It runs fine all other days and times.
Assistant: Observed failure is specific to post-midnight Friday records. Plausible causes include a timezone conversion error during the weekend transition or a scheduled maintena... | intelligent-conversation | evidence_based_troubleshooting | [
"evidence_based_troubleshooting"
] | {
"user_facts": [
"Batch invoice generator fails only on records dated after midnight on Fridays",
"Generator runs fine all other days and times",
"Manual trigger on Saturday morning with Friday-dated records succeeded"
],
"user_goal": "Diagnose why the batch invoice generator fails under one specific... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 8,
"source_row_sha256": "66d6fa527acaa01dde06b0eb4f48dfc09a91e76e62158f566275812889cbf719",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity_... | {"conversation":"User: Our batch invoice generator fails only when processing records dated after midnight on Fridays. It runs fine all other days and times.\nAssistant: Observed failure is specific to post-midnight Friday records. Plausible causes include a timezone conversion error during the weekend transition or a ... | {
"provider_request_id": "d2d6ad09-06ba-99f5-8b66-363273e404e5",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 665,
"total_tokens": 925,
"completion_tokens": 260,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 665
}
},
"r... | 3bd87c15ab52fe7d8fff43b1012b3031d24c7679e47bfd83da0f1412a5108d2f | b0d198fc4ca370d90f3d04817c8dccb165c70f53d9bff52fea9c23b7c507799c | 168 | 20,260,824 | false | 45 | a practical workplace exchange with concrete but self-contained details | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly demonstrates evidence-based troubleshooting by distinguishing hypotheses, selecting a discriminating check, and ... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly demonstrates evidence-based troubleshooting by distinguishing hypotheses... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 8 | 66d6fa527acaa01dde06b0eb4f48dfc09a91e76e62158f566275812889cbf719 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 0939073006c17836347f376bb5eb63fd8615612d08b619dd7bb711e207af73b4 |
1 | qwen-intelligent-1h-20260824-r1 | User: I mix up goals, metrics, and constraints when planning projects. Can you explain the difference simply?
Assistant: Think of a road trip. The goal is reaching the beach by sunset. The metric is your speedometer showing sixty miles per hour to track progress. Constraints are the fuel tank capacity and traffic laws ... | intelligent-conversation | level_matched_explanation | [
"level_matched_explanation"
] | {
"user_facts": [
"User confuses goals, metrics, and constraints in project planning",
"Constraint is arriving before 5 PM for check-in, not sunset"
],
"user_goal": "Understand the distinction between goals, metrics, and constraints with a corrected example",
"must_preserve": [
"5 PM check-in deadli... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 9,
"source_row_sha256": "a1f3d6f00e165d50565b345941da24ad8e2e13dc2c0cbe71b7c0c840c36d0f8e",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity_... | {"conversation":"User: I mix up goals, metrics, and constraints when planning projects. Can you explain the difference simply?\nAssistant: Think of a road trip. The goal is reaching the beach by sunset. The metric is your speedometer showing sixty miles per hour to track progress. Constraints are the fuel tank capacity... | {
"provider_request_id": "1e22960c-a568-9893-b2ea-7a8838940a7c",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 671,
"total_tokens": 978,
"completion_tokens": 307,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 671
}
},
"r... | 5863349f9644fd79fe55d8eb0c5e8ce5c137c1da0bc8e42b79af24c03e6847ea | 7eb1cb943db494f32126d94ca7747e770458947072e6c88d20b406fe84c03cc4 | 214 | 20,260,824 | false | 47 | a calm peer-to-peer discussion in which the second user turn corrects one fact | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly adapts the road trip analogy to the corrected 5 PM constraint while preserving the required structure and checki... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly adapts the road trip analogy to the corrected 5 PM constraint while pres... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 9 | a1f3d6f00e165d50565b345941da24ad8e2e13dc2c0cbe71b7c0c840c36d0f8e | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | dfd6b589dd43d037b3418571ae761a57ef42666a170bbd6f535688b95bb2461f |
1 | qwen-intelligent-1h-20260824-r1 | User: Draft a message to the vendor stating we cannot accept delivery before November 10 due to warehouse renovations. Keep it firm but professional.
Assistant: Here is a draft: We cannot accept delivery before November 10 due to ongoing warehouse renovations. Please confirm rescheduling. This states the constraint cle... | intelligent-conversation | collaborative_writing_feedback | [
"collaborative_writing_feedback"
] | {
"user_facts": [
"Cannot accept delivery before November 10",
"Warehouse renovations are the reason",
"Receiving team fully booked until November 12",
"November 12 is earliest viable date",
"Vendor is the audience"
],
"user_goal": "Communicate delivery delay constraint firmly but professional... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 13,
"source_row_sha256": "c215baff2132e3ec2b7c9dcb8dbbf8f5c3c09040da60e3bb918c0af03ec27611",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identi... | {"conversation":"User: Draft a message to the vendor stating we cannot accept delivery before November 10 due to warehouse renovations. Keep it firm but professional.\nAssistant: Here is a draft: We cannot accept delivery before November 10 due to ongoing warehouse renovations. Please confirm rescheduling. This states ... | {
"provider_request_id": "4c93a60d-e94c-9cbe-889c-3dd905cfe458",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 639,
"total_tokens": 926,
"completion_tokens": 287,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 639
}
},
"r... | 68b1af83d57c7fa78c0fa998c71d3c05f695e08cc8a953eefe4d3ae36f03660d | 29df664d03d4b8385a1b15c961affe0cd26ae9bc0a6122719b2a7af0ee8b525b | 176 | 20,260,824 | false | 52 | a decision-support exchange that distinguishes settled facts from open questions | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant accurately integrated the new date constraint and tone adjustment while preserving all ledger facts and providing a clear ... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant accurately integrated the new date constraint and tone adjustment while preserving... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 13 | c215baff2132e3ec2b7c9dcb8dbbf8f5c3c09040da60e3bb918c0af03ec27611 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 14423c9d569eb5b08f168e0008dc3ee8a4811e404e516cec06cae333ef51d64e |
1 | qwen-intelligent-1h-20260824-r1 | User: Draft a handoff note for the compliance team about the Q3 audit. State that data collection is complete, but legal review is still pending. Keep it brief.
Assistant: Here is a concise draft: "Q3 audit data collection is complete. Legal review remains pending." This separates the settled fact from the open item cl... | intelligent-conversation | collaborative_writing_feedback | [
"collaborative_writing_feedback"
] | {
"user_facts": [
"Q3 audit data collection is complete",
"Legal review is pending",
"Legal review expected by Friday",
"Audience is compliance team"
],
"user_goal": "Shorten handoff note while preserving caveat and adjusting tone",
"must_preserve": [
"Q3 audit reference",
"Data collecti... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 20,
"source_row_sha256": "ef5a2cdb8c73afb81d3f0d405c2bcc2a63970d5c478ef7756803999be44a39c1",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 10,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identit... | {"conversation":"User: Draft a handoff note for the compliance team about the Q3 audit. State that data collection is complete, but legal review is still pending. Keep it brief.\nAssistant: Here is a concise draft: \"Q3 audit data collection is complete. Legal review remains pending.\" This separates the settled fact f... | {
"provider_request_id": "2d34c9a0-f7bb-953d-9cab-f655f5070654",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 632,
"total_tokens": 900,
"completion_tokens": 268,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 632
}
},
"r... | 4085658d2601584c415212244e6f00d249e6fd7a8f3171866ed2e86802295436 | b5650d8f8705fc34e8a4d84f70adec8f87d5150dd6948d112b5480b9a76802f6 | 183 | 20,260,824 | false | 80 | a decision-support exchange that distinguishes settled facts from open questions | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":10,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly executed the collaborative writing feedback capability by integrating all ledger facts, adjusting tone as reque... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 10,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly executed the collaborative writing feedback capability by integrating a... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 20 | ef5a2cdb8c73afb81d3f0d405c2bcc2a63970d5c478ef7756803999be44a39c1 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 1f222ccf41b150696310af2a9b046173a79141ac126cf21641b578cbee492aaf |
1 | qwen-intelligent-1h-20260824-r1 | 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. Bridge emphasizes connection across silos. Anchor focuses on stability and long-term retention. Spark h... | intelligent-conversation | brainstorming_and_refinement | [
"brainstorming_and_refinement"
] | {
"user_facts": [
"Program focuses on cross-departmental skill sharing",
"Program focuses on career longevity",
"Must avoid nautical terms",
"Name must be under two syllables for badge printing"
],
"user_goal": "Develop a name for an internal mentorship program that reflects stability and longevit... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 22,
"source_row_sha256": "f05deed765a58acae6258c001f7120812c7dcd81607c829fb86ca9c7e48d99ab",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: We need three distinct naming directions for a new internal mentorship program focused on cross-departmental skill sharing and career longevity.\nAssistant: Here are three distinct directions tied to your goals. Bridge emphasizes connection across silos. Anchor focuses on stability and long-term ... | {
"provider_request_id": "ebdaefc6-37bf-944c-b389-7e25af622aed",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 633,
"total_tokens": 918,
"completion_tokens": 285,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 633
}
},
"r... | e4f10f19c0ded1d4fe6a2813e812d63742ccd1effaa0b846eef2a555084d4e72 | 78503a346c2b2f4cdb2a992b0f0dd7ff3b6b5fb4e7fcc76629e2c26a3fb006f6 | 179 | 20,260,824 | false | 92 | a concise planning or handoff conversation with explicit constraints | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly adhered to all constraints, successfully refined the selected direction with distinct non-nautical monosyllabic ... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly adhered to all constraints, successfully refined the selected direction ... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 22 | f05deed765a58acae6258c001f7120812c7dcd81607c829fb86ca9c7e48d99ab | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | d4138f0e73a7a103386b6d9303b000d62fde80f9f19399a8627c5fd6ea1a62fc |
1 | qwen-intelligent-1h-20260824-r1 | User: Summarize our migration planning chat. We agreed on a phased rollout starting June 1, Sarah owns data validation, and we need vendor sign-off before phase two.
Assistant: Here is the synthesis: Decision made for a phased rollout beginning June 1. Sarah is assigned as owner of data validation. A blocking dependenc... | intelligent-conversation | synthesis_and_action_items | [
"synthesis_and_action_items"
] | {
"user_facts": [
"Phased rollout starts June 1",
"Sarah owns data validation",
"Vendor sign-off required before phase three",
"Mike handles user training by May 20"
],
"user_goal": "Obtain an accurate summary distinguishing decisions, owners, dependencies, and corrections from a planning discussi... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 24,
"source_row_sha256": "6acece8fbdfd60b54009a372083677b84b0ac3315967baf6ab84903a7f28bd19",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: Summarize our migration planning chat. We agreed on a phased rollout starting June 1, Sarah owns data validation, and we need vendor sign-off before phase two.\nAssistant: Here is the synthesis: Decision made for a phased rollout beginning June 1. Sarah is assigned as owner of data validation. A ... | {
"provider_request_id": "77589220-993b-906b-86bb-211fa355f844",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 662,
"total_tokens": 971,
"completion_tokens": 309,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 662
}
},
"r... | 25994f2588899d6a29bf02b88a57b24cdc3bc745bb295314d86c142c68c77eb7 | 993819d93d90bf9c1a961b7f81e84290158feb7bdce4acce2b7e17f671548a03 | 194 | 20,260,824 | false | 105 | a natural conversation whose follow-up changes the best answer | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant accurately synthesized all decisions, owners, and the corrected dependency without inventing facts or dropping constraints... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant accurately synthesized all decisions, owners, and the corrected dependency without... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 24 | 6acece8fbdfd60b54009a372083677b84b0ac3315967baf6ab84903a7f28bd19 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 7b8385c68517980220737297982160cbb8bea4a15ccd23a5b59f94aabab542b1 |
1 | qwen-intelligent-1h-20260824-r1 | User: I finally negotiated a remote work agreement with my manager, but now I worry about staying visible for promotions.
Assistant: Securing that remote agreement is a significant accomplishment. Balancing flexibility with career visibility is a valid concern. Since your manager approved the arrangement, we can build ... | intelligent-conversation | natural_social_continuity | [
"natural_social_continuity"
] | {
"user_facts": [
"Negotiated remote work agreement with manager",
"Targeting senior analyst role by next June",
"Manager confirmed remote work does not disqualify from promotion",
"Manager emphasized measurable output over physical presence"
],
"user_goal": "Maintain promotion visibility while wo... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 25,
"source_row_sha256": "7cb9db5baaac3ead1c486b08a31b875a9a7129efa856062edae59f908e16369d",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: I finally negotiated a remote work agreement with my manager, but now I worry about staying visible for promotions.\nAssistant: Securing that remote agreement is a significant accomplishment. Balancing flexibility with career visibility is a valid concern. Since your manager approved the arrangem... | {
"provider_request_id": "7473371d-5564-92ab-964f-7abfbd6a7f4a",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 674,
"total_tokens": 927,
"completion_tokens": 253,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 674
}
},
"r... | a8594ccc8873ad35eec1fb881d81bb528d40c087012a727233c995302d507d5a | c2af1d1ae6b5b10682d397e27b11a5e3fc85c4132d1396446b818969eda68c29 | 159 | 20,260,824 | false | 123 | a decision-support exchange that distinguishes settled facts from open questions | {"grounding":10,"context_retention":10,"reasoning":9,"helpfulness":9,"professionalism":10,"naturalness":8,"directness":9,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant accurately retains ledger facts and offers a relevant strategy while maintaining appropriate boundaries, though the phrasing ... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 10,
"naturalness": 8,
"directness": 9,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant accurately retains ledger facts and offers a relevant strategy while maintaining appr... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 25 | 7cb9db5baaac3ead1c486b08a31b875a9a7129efa856062edae59f908e16369d | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 6322d50fb753bf4420b433f7ac60c1ff8f3c0216c7023d5b8294b82511ebb4ad |
1 | qwen-intelligent-1h-20260824-r1 | 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. Plausible causes include scheduled maintenance windows, Friday-specific data volume sp... | intelligent-conversation | evidence_based_troubleshooting | [
"evidence_based_troubleshooting"
] | {
"user_facts": [
"Nightly batch export fails only on Fridays",
"Export runs fine Monday through Thursday",
"Same dataset and configuration used daily",
"Error log shows permission denied at 2 AM Friday",
"Security team rotates service account keys weekly at 2 AM Friday"
],
"user_goal": "Diagn... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 29,
"source_row_sha256": "6753babb1bd6c13ab68a40b6cdd5f448c511cae9b11538b79ef6b897aa7c54d5",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: Our nightly batch export fails only on Fridays. It runs fine Monday through Thursday using the same dataset and configuration.\nAssistant: Observed: Export succeeds Mon-Thu but fails exclusively on Fridays with identical inputs. Plausible causes include scheduled maintenance windows, Friday-speci... | {
"provider_request_id": "4d38da4b-41a8-94a8-af16-b3ff48c39883",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 669,
"total_tokens": 970,
"completion_tokens": 301,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 669
}
},
"r... | 65dd12d7eb9263d4d4074557d9d0e982152c9c58a6e6ae07ae3fa92965226c5d | a9777f0a3fe333c388ff63ba006b4682f345aaa8fdd16f262e646f50ac23da11 | 186 | 20,260,824 | false | 129 | a natural conversation whose follow-up changes the best answer | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly demonstrates evidence-based troubleshooting by separating observations from hypotheses, selecting discriminating... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly demonstrates evidence-based troubleshooting by separating observations f... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 29 | 6753babb1bd6c13ab68a40b6cdd5f448c511cae9b11538b79ef6b897aa7c54d5 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | d61ed7cba9057644c25efa2545c0bfd867866900a464ae844202e895dae8f631 |
1 | qwen-intelligent-1h-20260824-r1 | User: Why do team averages sometimes hide important performance differences in our department reports?
Assistant: Averages smooth out extremes, masking individual variation. Imagine two teams averaging eight hours per task. Team A consistently takes seven to nine hours, while Team B ranges from two to fourteen hours. T... | intelligent-conversation | level_matched_explanation | [
"level_matched_explanation"
] | {
"user_facts": [
"Team averages can hide performance differences in department reports",
"Support ticket resolution averages four hours",
"Customer complaints suggest some tickets take days"
],
"user_goal": "Investigate variation in support ticket resolution times despite a four-hour average",
"mus... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 33,
"source_row_sha256": "bfe1b158e3e8dc72f36404f77a2236cd48d022ee8824aaba818af4ee2ef40d48",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: Why do team averages sometimes hide important performance differences in our department reports?\nAssistant: Averages smooth out extremes, masking individual variation. Imagine two teams averaging eight hours per task. Team A consistently takes seven to nine hours, while Team B ranges from two to... | {
"provider_request_id": "5a48c00d-b581-9aad-b8d8-e922141c3bd3",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 667,
"total_tokens": 934,
"completion_tokens": 267,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 667
}
},
"r... | 0e122bb362186d3aec0fb34f35492b652e1be5d44d26c0697db4baf5aaf029e5 | 85e2d7a593ba4211f20c31eda718897d51da4ba9c8e90a1312fe13649c4856d6 | 183 | 20,260,824 | false | 145 | a natural conversation whose follow-up changes the best answer | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly adapts explanation depth to the user's specific scenario while preserving all ledger facts and providing actiona... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly adapts explanation depth to the user's specific scenario while preservin... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 33 | bfe1b158e3e8dc72f36404f77a2236cd48d022ee8824aaba818af4ee2ef40d48 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 7bb02007379c1631146ece1233308a225b4d79b6137a9e299236759497f67a34 |
1 | qwen-intelligent-1h-20260824-r1 | 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. Open question remains regarding budget approval for the... | intelligent-conversation | synthesis_and_action_items | [
"synthesis_and_action_items"
] | {
"user_facts": [
"Database migration decision made",
"Original deadline was Friday",
"Original testing owner was Sarah",
"Budget approval needed for new server",
"Testing owner corrected to Marcus",
"Deadline corrected to next Wednesday",
"Budget approval pending specifically from Finance... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 37,
"source_row_sha256": "bf227aca471d0874e68f4ea90215c83849d08a79efc553a432b6fcf3962e6b05",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"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.\nAssistant: Here is the synthesis: Decision made to migrate the database by Friday with Sarah owning testing. Open question remains regarding budge... | {
"provider_request_id": "e7bc1e49-437e-986c-9b06-f2fb3059f7ed",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 678,
"total_tokens": 974,
"completion_tokens": 296,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 678
}
},
"r... | 632902bc2fb4c1c370951e69ff24fe396fc58e173173cbec55f6b73556ccb183 | 875f79f28b12b44075b1696e8d49b040fbbfd0f4113ddf7f6da7adf530dd12c5 | 189 | 20,260,824 | false | 161 | a natural conversation whose follow-up changes the best answer | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant accurately synthesized the corrected facts, preserved all ledger constraints, and clearly distinguished decisions from ope... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant accurately synthesized the corrected facts, preserved all ledger constraints, and ... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 37 | bf227aca471d0874e68f4ea90215c83849d08a79efc553a432b6fcf3962e6b05 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 404b8b306b79f5b9042d54bfa98dfff393290c9fc23cf625cd332a22d4cc2069 |
1 | qwen-intelligent-1h-20260824-r1 | 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. Since support coverage is the primary differentiator you ment... | intelligent-conversation | natural_social_continuity | [
"natural_social_continuity"
] | {
"user_facts": [
"Choosing between two vendors",
"Cheaper option lacks support",
"Worried about downtime during Q3 migration",
"Requires four-hour onsite response for critical failures",
"Budget vendor cannot guarantee four-hour onsite response"
],
"user_goal": "Select a vendor that meets cri... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 42,
"source_row_sha256": "fa711765fc41742fae7ae945e4c22cf95580c523181bd049f9101c0b40eca9ca",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: I’m feeling stuck choosing between two vendors because the cheaper option lacks support, and I worry about downtime during our Q3 migration.\nAssistant: It is understandable to feel hesitant when balancing cost against the risk of Q3 migration downtime. Since support coverage is the primary diffe... | {
"provider_request_id": "b9204cbf-1036-944b-adcf-f320592674b0",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 671,
"total_tokens": 941,
"completion_tokens": 270,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 671
}
},
"r... | e9614e7c3793b356179f4da78050428f9e4d661c93e36f1b555fd02761ffa667 | 8d10a235afc25044a6eb0bdc903eae40315e68f7d609227a150449dd067bb6f2 | 173 | 20,260,824 | false | 179 | a decision-support exchange that distinguishes settled facts from open questions | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly adheres to capability constraints by validating the user's worry, retaining the Q3 migration and four-hour onsit... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly adheres to capability constraints by validating the user's worry, retain... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 42 | fa711765fc41742fae7ae945e4c22cf95580c523181bd049f9101c0b40eca9ca | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 7af8d82a6861ffda91be47093a4fde371871f7c8bbbe29cef406045d55d77577 |
1 | qwen-intelligent-1h-20260824-r1 | 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. Unknown: Why the two users stopped or if their issues are systemic. Inferred: The dash... | intelligent-conversation | calibrated_uncertainty | [
"calibrated_uncertainty"
] | {
"user_facts": [
"Q3 pilot had mixed feedback",
"Three users loved the new dashboard",
"Two users stopped using it after a week",
"Churning users were trying to export weekly reports",
"Export now requires four clicks instead of previous two"
],
"user_goal": "Decide whether to roll out the ne... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 47,
"source_row_sha256": "f46fea586497a5487a8a1ff522d407f1199b696363ef181f3c5e79fa17f4f03b",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"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?\nAssistant: Known: Three users responded positively; two churned within seven days. Unknown: Why the two users stopped or if their issues are systemic. ... | {
"provider_request_id": "a6140ce3-3895-90ed-ba48-de367c036822",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 642,
"total_tokens": 954,
"completion_tokens": 312,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 642
}
},
"r... | 459f9e210a415414d8a46247d95685af27bbd08115bbcdd76673bdd2809d1f08 | 491eae22a1acb707712def8f0d855d2af2500b8adc90fb0f02a4423f8e0e7adf | 204 | 20,260,824 | false | 191 | a practical workplace exchange with concrete but self-contained details | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly distinguishes knowns from inferences and recommends a specific, decision-relevant evidence update without fabric... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly distinguishes knowns from inferences and recommends a specific, decision... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 47 | f46fea586497a5487a8a1ff522d407f1199b696363ef181f3c5e79fa17f4f03b | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 45fdae8d107056b5c12594395789a9902af90c985bbf5ec6bc50c3ffd5d6fae0 |
1 | qwen-intelligent-1h-20260824-r1 | User: Draft a handoff note for the Q3 audit team. State that revenue recognition is finalized, but vendor accruals remain unverified. Keep it brief and factual.
Assistant: Here is a concise draft: "Revenue recognition for Q3 is finalized. Vendor accruals remain unverified and require validation before sign-off." This s... | intelligent-conversation | collaborative_writing_feedback | [
"collaborative_writing_feedback"
] | {
"user_facts": [
"Revenue recognition for Q3 is finalized",
"Vendor accruals remain unverified",
"Finance owns the accrual validation",
"Validation must be completed by Friday at noon",
"Missing the deadline will delay the board report"
],
"user_goal": "Draft a brief, factual handoff note dis... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 53,
"source_row_sha256": "2dcb4c334c9d2b3fd86b7b9c0d3a700f9122c7ad0a5dc1be59295d4629e6cc07",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identi... | {"conversation":"User: Draft a handoff note for the Q3 audit team. State that revenue recognition is finalized, but vendor accruals remain unverified. Keep it brief and factual.\nAssistant: Here is a concise draft: \"Revenue recognition for Q3 is finalized. Vendor accruals remain unverified and require validation befor... | {
"provider_request_id": "d3ee4a3d-d39e-9ba2-b552-557149a1dac4",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 674,
"total_tokens": 1011,
"completion_tokens": 337,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 674
}
},
"... | 16c7279b39cd4941316fce8d14543b2a012001853a6fab927205f0435b9dbbe3 | ff44c449739de148c687bcea6feeb3d8132e9d59db68203ab1dd106e1e5e7df6 | 209 | 20,260,824 | false | 206 | a decision-support exchange that distinguishes settled facts from open questions | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":10,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly integrated all new constraints regarding ownership, deadline, and consequences while preserving the required ne... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 10,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly integrated all new constraints regarding ownership, deadline, and conse... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 53 | 2dcb4c334c9d2b3fd86b7b9c0d3a700f9122c7ad0a5dc1be59295d4629e6cc07 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | a3e9b73fcb2bb817398db5d37b469f8018dfd0f02ba466d35296c49317235742 |
1 | qwen-intelligent-1h-20260824-r1 | User: Our internal scheduling tool fails for 120 staff only during the Monday morning peak. Three engineers are available, but we cannot interrupt customer support or authorize overtime.
Assistant: Observed failure occurs exclusively during Monday morning peak for all 120 staff. Plausible causes include database connec... | intelligent-conversation | evidence_based_troubleshooting | [
"evidence_based_troubleshooting"
] | {
"user_facts": [
"Internal scheduling tool serves 120 staff",
"Failure occurs only during Monday morning peak",
"Three engineers are available",
"Cannot interrupt customer support",
"Cannot authorize overtime",
"Database connection counts remain stable during peak",
"Authentication timeou... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 56,
"source_row_sha256": "b84cfedd6bb17a4092da3273b1f44426070a32057feace3adc90bb18e8f929d7",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: Our internal scheduling tool fails for 120 staff only during the Monday morning peak. Three engineers are available, but we cannot interrupt customer support or authorize overtime.\nAssistant: Observed failure occurs exclusively during Monday morning peak for all 120 staff. Plausible causes inclu... | {
"provider_request_id": "ea86a5ff-cf1a-96a8-9943-bc7c28fdb116",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 672,
"total_tokens": 972,
"completion_tokens": 300,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 672
}
},
"r... | f0c3eb80f0126d8d8df1fcaaf0a57eae007ddc6814cdc031150539722d61dfee | ddb23a20eeb1c59ea67a5eafac7ca2fa71ecba9626a8a0c34463563dea34b6cf | 193 | 20,260,824 | false | 213 | a practical workplace exchange with concrete but self-contained details | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly demonstrates evidence-based troubleshooting by distinguishing hypotheses, selecting a discriminating check, and ... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly demonstrates evidence-based troubleshooting by distinguishing hypotheses... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 56 | b84cfedd6bb17a4092da3273b1f44426070a32057feace3adc90bb18e8f929d7 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | fab057c4ad41a42fd1f8d347ab59fe315ce364341da46fc3dc90b1e723b93167 |
1 | qwen-intelligent-1h-20260824-r1 | User: Explain the difference between a goal, a metric, and a constraint simply.
Assistant: Think of planning a road trip. The goal is reaching the beach safely. The metric is your speedometer reading to track progress. The constraint is having only one tank of gas. Goals define success, metrics measure movement toward ... | intelligent-conversation | level_matched_explanation | [
"level_matched_explanation"
] | {
"user_facts": [
"Team frequently confuses goals, metrics, and constraints",
"Q3 sales target is $500k",
"Zero-overtime budget limit is in effect"
],
"user_goal": "Clarify distinctions between goal, metric, and constraint using specific Q3 sales context",
"must_preserve": [
"$500k Q3 sales targ... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 57,
"source_row_sha256": "cfd9dd1799b7303c33cdfaa985fb12c475dbeaaebaa64fcdac8397fef4849aab",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: Explain the difference between a goal, a metric, and a constraint simply.\nAssistant: Think of planning a road trip. The goal is reaching the beach safely. The metric is your speedometer reading to track progress. The constraint is having only one tank of gas. Goals define success, metrics measur... | {
"provider_request_id": "52182ef6-4bb5-9eaa-b310-27b2a0b1f589",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 656,
"total_tokens": 934,
"completion_tokens": 278,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 656
}
},
"r... | 2fa94b908792c35ffc25810b490bb531ac8d0abe6cd4035c1e57e04027ffdd4f | 03ce9484c2d67c90acfffd4b29065b9559d5510f04d3cbf6edb6cfd72e8ad121 | 186 | 20,260,824 | false | 215 | a natural conversation whose follow-up changes the best answer | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly adapted the explanation to the specific Q3 sales and zero-overtime constraints while maintaining clear distincti... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly adapted the explanation to the specific Q3 sales and zero-overtime const... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 57 | cfd9dd1799b7303c33cdfaa985fb12c475dbeaaebaa64fcdac8397fef4849aab | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 2e92be0532f0abd68558301fbfd44d556778f42af927100f267812a71c3738e6 |
1 | qwen-intelligent-1h-20260824-r1 | User: The Q3 budget report shows a $50k variance in vendor costs, but the ledger matches invoices perfectly. I suspect a formula error in the summary tab.
Assistant: Observed: $50k variance between report and ledger despite matching invoices. Plausible causes include a hidden filter excluding rows, a currency conversio... | intelligent-conversation | evidence_based_troubleshooting | [
"evidence_based_troubleshooting"
] | {
"user_facts": [
"Q3 budget report shows variance in vendor costs",
"Ledger matches invoices perfectly",
"Variance amount is $45k",
"No filters are active on summary tab",
"Source range covers all vendor categories"
],
"user_goal": "Identify root cause of budget report variance",
"must_pres... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 58,
"source_row_sha256": "0abc22439e4414daff610549829b0892a597078f7a291eff83a91c0b1466c3b4",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: The Q3 budget report shows a $50k variance in vendor costs, but the ledger matches invoices perfectly. I suspect a formula error in the summary tab.\nAssistant: Observed: $50k variance between report and ledger despite matching invoices. Plausible causes include a hidden filter excluding rows, a ... | {
"provider_request_id": "140ed320-4ef7-9c4c-9117-44280526aa4c",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 661,
"total_tokens": 952,
"completion_tokens": 291,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 661
}
},
"r... | 59668c59227b568e47123547fa299cb8866987450f93ceae9f0d5bcda5c968e7 | 362b6c40f57d9917b8dbc1e6a8224f4ceef6db3e28d1c8f2e6bccda8b9486f87 | 190 | 20,260,824 | false | 227 | a calm peer-to-peer discussion in which the second user turn corrects one fact | {"grounding":10,"context_retention":10,"reasoning":9,"helpfulness":9,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant correctly updates the variance amount, rules out eliminated hypotheses based on new evidence, and proposes discriminating ch... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant correctly updates the variance amount, rules out eliminated hypotheses based on new ... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 58 | 0abc22439e4414daff610549829b0892a597078f7a291eff83a91c0b1466c3b4 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 50967438d8f3157a124083dc24bd04cc98abd9e98b67d9889eaf918ea9becf8c |
1 | qwen-intelligent-1h-20260824-r1 | User: Draft a project update for the design team stating the prototype review is moved to Friday at 2 PM because the client requested more time.
Assistant: Here is a draft for the design team: The prototype review has been rescheduled to Friday at 2 PM per the client's request for additional preparation time. Please up... | intelligent-conversation | collaborative_writing_feedback | [
"collaborative_writing_feedback"
] | {
"user_facts": [
"Prototype review moved to Friday at 2 PM",
"Client requested less preparation time",
"Audience is the design team"
],
"user_goal": "Draft a project update notifying the design team of a rescheduled prototype review",
"must_preserve": [
"Friday at 2 PM timing",
"Client as t... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 59,
"source_row_sha256": "cef839bdef0cb211bc40ccc71b7417ce20011ce66e53815274b71bc4f43d53d1",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 10,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identit... | {"conversation":"User: Draft a project update for the design team stating the prototype review is moved to Friday at 2 PM because the client requested more time.\nAssistant: Here is a draft for the design team: The prototype review has been rescheduled to Friday at 2 PM per the client's request for additional preparati... | {
"provider_request_id": "7e53dc0a-9f12-967b-bb6a-02b51dcd86d6",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 666,
"total_tokens": 922,
"completion_tokens": 256,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 666
}
},
"r... | d258d0b627572154ad3a93778a39d6320a0e80142624758da9ad0eb85aaf719a | 16ccbcfc884ae315a9a08f63c3cfb73dd4b67bf77d640a3e99cd9a552b861425 | 165 | 20,260,824 | false | 234 | a calm peer-to-peer discussion in which the second user turn corrects one fact | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant accurately incorporated the user's factual correction regarding preparation time while preserving all ledger constraints a... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant accurately incorporated the user's factual correction regarding preparation time w... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 59 | cef839bdef0cb211bc40ccc71b7417ce20011ce66e53815274b71bc4f43d53d1 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 2388de0f71c8d41bc965b939155fc26ae100b1427f0bfc9e7fd1cefc1ead1fb6 |
1 | qwen-intelligent-1h-20260824-r1 | User: Please summarize our migration planning meeting. We decided to move the database on November 10, Sarah owns the backup verification, and we still need to resolve the API latency issue before go-live.
Assistant: Here is the synthesis: Decision made to migrate the database on November 10. Sarah is assigned as owner... | intelligent-conversation | synthesis_and_action_items | [
"synthesis_and_action_items"
] | {
"user_facts": [
"Database migration scheduled for November 12",
"Sarah owns backup verification",
"Mark will draft rollback plan by Friday",
"API latency issue remains unresolved before go-live"
],
"user_goal": "Obtain an accurate summary of meeting decisions and next steps incorporating a date ... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 61,
"source_row_sha256": "44f839491977d0f484d995e2438246737b8286265fc50d7ada3fe760eacb77a0",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: Please summarize our migration planning meeting. We decided to move the database on November 10, Sarah owns the backup verification, and we still need to resolve the API latency issue before go-live.\nAssistant: Here is the synthesis: Decision made to migrate the database on November 10. Sarah is... | {
"provider_request_id": "853f5067-702e-9a3b-94fb-99e2eafaafc5",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 669,
"total_tokens": 981,
"completion_tokens": 312,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 669
}
},
"r... | e216fe9abcbcaa76a1cdc52d031e1a7daf41a2e041743d8de2453680b9461d18 | 33ece6e5d27daaffb386785132f5af3c8e666f9188022c8526741f7da662351a | 204 | 20,260,824 | false | 245 | a short professional conversation ending in a precise deliverable or clean stop | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant accurately synthesized the corrected migration date, assigned owners, and open questions without inventing facts or droppi... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant accurately synthesized the corrected migration date, assigned owners, and open que... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 61 | 44f839491977d0f484d995e2438246737b8286265fc50d7ada3fe760eacb77a0 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 3e73ebdb92bb29b8e2ad4a7e01f5fca9284234b642132bc6986778a115045631 |
1 | qwen-intelligent-1h-20260824-r1 | User: Our Q3 expense report shows a $4,200 variance against budget. The raw ledger totals match receipts, but the summary tab differs. I suspect a formula error in the consolidation sheet.
Assistant: Observed behavior: Raw ledger matches receipts, but summary tab shows a $4,200 variance. Plausible explanations include ... | intelligent-conversation | evidence_based_troubleshooting | [
"evidence_based_troubleshooting"
] | {
"user_facts": [
"Q3 expense report shows $4,200 variance against budget",
"Raw ledger totals match receipts",
"Summary tab differs from raw ledger",
"Summary range covers all rows",
"Variance equals exactly three vendor payments marked as pending approval"
],
"user_goal": "Identify cause of ... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 66,
"source_row_sha256": "c2d5b9cd2ad4952402abecaf7b55ab43052e43ff55347535a041031345f5d806",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: Our Q3 expense report shows a $4,200 variance against budget. The raw ledger totals match receipts, but the summary tab differs. I suspect a formula error in the consolidation sheet.\nAssistant: Observed behavior: Raw ledger matches receipts, but summary tab shows a $4,200 variance. Plausible exp... | {
"provider_request_id": "93f8e9b0-715d-9623-be7c-2180de1c4288",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 668,
"total_tokens": 979,
"completion_tokens": 311,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 668
}
},
"r... | 42e5169d35930ee2bbe1d827f41841a84d755552595b066f37fb68d6e3c08a65 | 1a70e8316cc0219fc56d5ad6623f30baeb2dfcdf1642853db395e6e25d1a815b | 197 | 20,260,824 | false | 269 | a practical workplace exchange with concrete but self-contained details | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly demonstrates evidence-based troubleshooting by separating observations from hypotheses, selecting discriminating... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly demonstrates evidence-based troubleshooting by separating observations f... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 66 | c2d5b9cd2ad4952402abecaf7b55ab43052e43ff55347535a041031345f5d806 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 238a6189f604a4d3a4d1d650b5bcb6a72a9169c29d4ec10635f96df2bcb69476 |
1 | qwen-intelligent-1h-20260824-r1 | User: Draft a handoff note to Sarah about the Q3 budget review. Mention that preliminary numbers are ready but flag that vendor invoices are still pending verification.
Assistant: Here is a concise draft preserving your caveat: "Sarah, the preliminary Q3 budget numbers are ready for your review. Please note that vendor... | intelligent-conversation | collaborative_writing_feedback | [
"collaborative_writing_feedback"
] | {
"user_facts": [
"Handoff recipient is Sarah",
"Topic is Q3 budget review",
"Preliminary numbers are ready",
"Vendor invoices are pending verification",
"Sarah presents to finance tomorrow morning"
],
"user_goal": "Shorten handoff note while preserving caveat about unverified invoices",
"mu... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 72,
"source_row_sha256": "7d3ee055d4a36f4e98e9eeecd14058da0e679abba4af17126a9f46952ca7df15",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 10,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identit... | {"conversation":"User: Draft a handoff note to Sarah about the Q3 budget review. Mention that preliminary numbers are ready but flag that vendor invoices are still pending verification.\nAssistant: Here is a concise draft preserving your caveat: \"Sarah, the preliminary Q3 budget numbers are ready for your review. Plea... | {
"provider_request_id": "37c43832-94cc-9d9f-8e37-6805e2f5cc44",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 660,
"total_tokens": 965,
"completion_tokens": 305,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 660
}
},
"r... | 9184b18ff60a819f6557958b40f4db2bb080fe317b5b9fc42c6771f991025585 | f10fec9bc12fed3d87bd5d888cdd274a25ffc9c7ede2b25faaf5af9d69ba7b4b | 194 | 20,260,824 | false | 290 | a concise planning or handoff conversation with explicit constraints | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":10,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly executed the collaborative writing feedback capability by integrating the warmth adjustment and deadline contex... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 10,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly executed the collaborative writing feedback capability by integrating t... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 72 | 7d3ee055d4a36f4e98e9eeecd14058da0e679abba4af17126a9f46952ca7df15 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | df3a0a4727db15ef9a0fe443d1c07f0271b13730f5535b3f4a9b4bf9b599b124 |
1 | qwen-intelligent-1h-20260824-r1 | User: I finally submitted my grant proposal after months of work, but now I'm worried the budget justification section was too vague for the review panel.
Assistant: Submitting after months of effort is a significant milestone, and it is understandable to feel uncertain about specific sections like the budget justifica... | intelligent-conversation | natural_social_continuity | [
"natural_social_continuity"
] | {
"user_facts": [
"Submitted grant proposal after months of work",
"Concerned budget justification section was too vague",
"Wants to prepare supplementary documentation",
"Restricts suggestions to items in original methodology section"
],
"user_goal": "Prepare supplementary documentation for grant... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 73,
"source_row_sha256": "668d80b8b246ad38b7faad2d0bcc2fe64137b0865c7b9dbd45d3a01f557b1e1f",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: I finally submitted my grant proposal after months of work, but now I'm worried the budget justification section was too vague for the review panel.\nAssistant: Submitting after months of effort is a significant milestone, and it is understandable to feel uncertain about specific sections like th... | {
"provider_request_id": "798cadd0-1d4b-9d66-914b-500ccd0c219d",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 679,
"total_tokens": 925,
"completion_tokens": 246,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 679
}
},
"r... | a70239525e1dc63fcfb00483ec62891310a4849a74a683faec336a9361f0aff7 | 3ae194cf0b8c7d286ebbe6ea5c04b6c9e5fe8761170ff31cd94929693aed1891 | 162 | 20,260,824 | false | 291 | a decision-support exchange that distinguishes settled facts from open questions | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly adheres to all constraints, retains the methodology restriction, validates the user's emotion without claiming p... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly adheres to all constraints, retains the methodology restriction, validat... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 73 | 668d80b8b246ad38b7faad2d0bcc2fe64137b0865c7b9dbd45d3a01f557b1e1f | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | e29182cd01b5574f264aa56a0f9f370b95fb75f516eadddd7e944dab61bf85f7 |
1 | qwen-intelligent-1h-20260824-r1 | User: Draft a note to the design team saying their latest mockups ignore the accessibility guidelines we agreed on last month and need immediate rework.
Assistant: Audience is the design team; goal is compliance without damaging collaboration. Current phrasing risks sounding accusatory. Revised: The latest mockups appe... | intelligent-conversation | collaborative_writing_feedback | [
"collaborative_writing_feedback"
] | {
"user_facts": [
"Accessibility guidelines were agreed upon last month",
"Only the navigation component ignores the guidelines",
"Tone must be direct but professional"
],
"user_goal": "Request correction of accessibility non-compliance without sounding harsh",
"must_preserve": [
"Direct but pro... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 79,
"source_row_sha256": "ee2ee6ebbd23891c31b7b3b8a7dc8935776e99188414427c095e0b539b83cdda",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identi... | {"conversation":"User: Draft a note to the design team saying their latest mockups ignore the accessibility guidelines we agreed on last month and need immediate rework.\nAssistant: Audience is the design team; goal is compliance without damaging collaboration. Current phrasing risks sounding accusatory. Revised: The l... | {
"provider_request_id": "e1267584-3759-90f2-9865-28058bc601e5",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 638,
"total_tokens": 893,
"completion_tokens": 255,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 638
}
},
"r... | 89240620a3d3bd5758c9fcc3d360578c1ebb3dd9e912075190e4608e4f6d8ed4 | 487dcab3c20e2d19d750e2c6e94e154ff32acf525fe33f0b4a5435e4b6437f33 | 172 | 20,260,824 | false | 304 | a calm peer-to-peer discussion in which the second user turn corrects one fact | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant accurately incorporated the user's scope correction and tone preference into a precise revision that fully adhered to the ... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant accurately incorporated the user's scope correction and tone preference into a pre... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 79 | ee2ee6ebbd23891c31b7b3b8a7dc8935776e99188414427c095e0b539b83cdda | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 0967e8d28bf32449a294aa43c0329b50f47f9325e5882a19895a4388038a0296 |
1 | qwen-intelligent-1h-20260824-r1 | User: Our quarterly sales report shows a 15% revenue drop in Q3, but unit volume increased by 8%. The finance team says the data source is unchanged. What caused this discrepancy?
Assistant: Observed: Q3 revenue down 15% while unit volume up 8%, with unchanged data sources. Plausible explanations include lower average ... | intelligent-conversation | evidence_based_troubleshooting | [
"evidence_based_troubleshooting"
] | {
"user_facts": [
"Q3 revenue dropped 15%",
"Unit volume increased 8%",
"Data source is unchanged",
"ASP dropped 22%",
"Unapproved clearance sale on legacy inventory occurred",
"Clearance sale was not reflected in pricing master data"
],
"user_goal": "Identify cause of revenue-volume discr... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 80,
"source_row_sha256": "af801fad7bb7648f37efe5e80f31205eecc32b0260916861bd00b262288dcf60",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: Our quarterly sales report shows a 15% revenue drop in Q3, but unit volume increased by 8%. The finance team says the data source is unchanged. What caused this discrepancy?\nAssistant: Observed: Q3 revenue down 15% while unit volume up 8%, with unchanged data sources. Plausible explanations incl... | {
"provider_request_id": "2c63c9ab-795b-9077-96ca-487532787272",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 658,
"total_tokens": 1011,
"completion_tokens": 353,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 658
}
},
"... | e534a49a7bf090d407ebd62b19944fa530508603e3808e1a0a65119891475b6f | 85e6dd7c55ef1f85d72b34176165b01bc7ba7f0015450ade833740fd709b53ba | 235 | 20,260,824 | false | 311 | a natural conversation whose follow-up changes the best answer | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant perfectly demonstrates evidence-based troubleshooting by separating observations from hypotheses, selecting a discriminati... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant perfectly demonstrates evidence-based troubleshooting by separating observations f... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 80 | af801fad7bb7648f37efe5e80f31205eecc32b0260916861bd00b262288dcf60 | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 2341e020ef7f45e95daafc93bcf7bca19deae8ba239a8c91c58c8f2ec67d85ea |
1 | qwen-intelligent-1h-20260824-r1 | 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. The key ambiguity is whether the bottleneck is data gathering or formatting. Is the de... | intelligent-conversation | clarification_under_ambiguity | [
"clarification_under_ambiguity"
] | {
"user_facts": [
"Weekly status reporting process currently takes too long",
"Formatting is already automated and fast",
"Delay is strictly in data gathering",
"Three team leads submit updates late every Friday"
],
"user_goal": "Improve weekly status reporting process to reduce time spent",
"mu... | fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b | runs/chat-r1/model.safetensors | qwen3.8-max | qwen3.8-max | qwen3.8-max | false | codex_batch_a | {
"line": 93,
"source_row_sha256": "e1cc1c695ff4c550aad862b36cc27e6088ba35b3aa78acb365e010484bec6dab",
"status": "passed",
"grounding": 10,
"context_retention": 10,
"reasoning": 9,
"helpfulness": 9,
"professionalism": 9,
"naturalness": 9,
"directness": 9,
"unsupported_assumptions": [],
"identity... | {"conversation":"User: I want to improve our weekly status reporting process because it currently takes too long. Can you suggest a better workflow?\nAssistant: I assume you want to reduce the time spent compiling reports while maintaining visibility. The key ambiguity is whether the bottleneck is data gathering or for... | {
"provider_request_id": "0d166945-0cd3-912a-bae4-c8a57e2fe9b3",
"reported_model": "qwen3.8-max",
"finish_reason": "stop",
"usage": {
"prompt_tokens": 668,
"total_tokens": 944,
"completion_tokens": 276,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 668
}
},
"r... | d702e2d27304b9d2ca6002acaa0dc471aa094f56244cc4811392a70f6cfc8f01 | 443080d6c4fafe72e22f61703ea22fc10b1d80c485ebe9692cebaa201361c060 | 193 | 20,260,824 | false | 378 | a calm peer-to-peer discussion in which the second user turn corrects one fact | {"grounding":10,"context_retention":10,"reasoning":10,"helpfulness":10,"professionalism":10,"naturalness":9,"directness":10,"unsupported_assumptions":[],"identity_safe":true,"reason":"The assistant correctly identified the material ambiguity, asked a focused clarification question, and provided a conditional provisiona... | {
"grounding": 10,
"context_retention": 10,
"reasoning": 10,
"helpfulness": 10,
"professionalism": 10,
"naturalness": 9,
"directness": 10,
"unsupported_assumptions": [],
"identity_safe": true,
"reason": "The assistant correctly identified the material ambiguity, asked a focused clarification questio... | 9588250c1604b804627a03f3ed43d755b128be7c8ae89520f3fc325c0a5e3c63 | 0c3c6c09e6381916bcf59149fc6521f9fad2f8fd279f02cadd9d81c8d7b1885b | 93 | e1cc1c695ff4c550aad862b36cc27e6088ba35b3aa78acb365e010484bec6dab | D:\AI-models\lemonseed-port\intelligent_qwen38_cogen_1h_20260824_r1.review-a.json | f2e93d81a7bdf386eea4440c4ad6da9175cf796e48422bb6f251792d53e1c007 | 03ca7c4f58eba91b6f31c99ffa72dc111fae7e0ac93f060672c5565c9f61777e |
End of preview. Expand in Data Studio
lemonseed-qwen38-cogen-reviewed
LemonSeed — Qwen3.8-Max-teacher co-generated data, reviewed passes (v1).
Contents
intelligent_qwen38_cogen_1h_20260824_r1.reviewed_passes_v1.jsonl(71 rows)
Format
JSON Lines (.jsonl), one example per line.
Provenance
LLM-teacher co-generated instruction/chat data for LemonSeed fine-tuning.
- Downloads last month
- 32