schema_version
int64
batch
string
profile
string
capability
string
capability_ids
list
scenario_ledger
dict
text
string
baseline_checkpoint
string
teacher_model
string
reviewer_model
string
review
unknown
token_count
int64
capability_pack_sha256
string
author_model
string
source_family
string
source_model
string
source_path
string
source_line
int64
source_split
string
curriculum_generation
string
sample_weight
int64
source_model_evidence
string
source_sha256
string
selection_profile
string
selection_hash
string
selection_candidate_path
string
selection_candidate_sha256
string
selection_reason
string
selection_model
string
review_path
string
canonical_intent_id
string
selection_reviewer
string
1
a
intelligent-conversation
clarification_under_ambiguity
[ "clarification_under_ambiguity" ]
{ "user_facts": [ "The handoff mixes confirmed decisions with follow-ups", "The manager asked for a better post-call handoff", "The team already knows the client background", "Owners should appear beside follow-up work" ], "user_goal": "Make the post-call handoff easier for the team to act on", ...
User: My manager asked me to make our post-call handoff better. It currently mixes confirmed decisions with follow-ups. How should I improve it? Assistant: I would interpret better as easier for the team to act on, but the decision-changing ambiguity is whether your manager instead means faster to write. Which outcome ...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 1, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Identifies the actionability-versus-writing-speed ambiguity, ...
194
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
1
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
context_retention_and_correction
[ "context_retention_and_correction" ]
{ "user_facts": [ "The review session must happen before Friday", "The session will be remote", "Priya can review the draft", "The agenda covers unresolved decisions only", "Luis replaces Dana as draft owner" ], "user_goal": "Revise the review sequence after the draft owner changes", "must_p...
User: We need a remote review session before Friday. Dana owns the draft, Priya can review it, and the agenda must stay focused on unresolved decisions. Propose a simple sequence. Assistant: Treat the draft as the first dependency: Dana prepares it, Priya reviews it, and the remote session follows with only unresolved ...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 2, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Replaces Dana with Luis while preserving Priya, the remote fo...
227
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
2
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
constraint_aware_planning
[ "constraint_aware_planning" ]
{ "user_facts": [ "The paper archive must move by Thursday", "Three staff members are available", "Only one van is available", "Daily support coverage must continue", "The current budget cannot increase", "The loading dock is unavailable Wednesday", "Records cannot be left unattended" ],...
User: Our paper archive must move by Thursday. We have three staff, one van, daily support coverage that cannot stop, and no room to increase the budget. Build an ordered plan. Assistant: Start by confirming how the three staff can maintain support coverage while preserving a move crew; that determines every later step...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 3, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 9, "helpfulness": 9, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Orders staffing, custody, dock access, and one-van loads around ...
252
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
3
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
evidence_based_troubleshooting
[ "evidence_based_troubleshooting" ]
{ "user_facts": [ "The weekly export sometimes omits final entries", "The omission has appeared only with an active filter", "Unfiltered exports have not shown the omission", "Visible rows added after filtering are omitted from export", "Reapplying the same filter restores those rows" ], "user...
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...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 4, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Uses paired checks to distinguish visibility from stale filte...
320
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
4
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
tradeoff_decision_support
[ "tradeoff_decision_support" ]
{ "user_facts": [ "A fixed template supports consistent scanning", "Flexible sections support later customization", "Consistency matters most this quarter", "The fixed template is easy to reverse", "Flexible adoption requires every team to rework its update", "Two teams have required sections ...
User: We can keep a fixed update template that supports consistent scanning, or let every team design flexible sections. Consistency matters most this quarter, later customization has value, the fixed choice is easy to reverse, and flexible adoption makes every team rework its update. Which should we choose? Assistant:...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 5, "status": "passed", "grounding": 9, "context_retention": 10, "reasoning": 9, "helpfulness": 9, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Compares the same criteria, changes to flexible sections when req...
241
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
5
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
level_matched_explanation
[ "level_matched_explanation" ]
{ "user_facts": [ "The user is new to project planning", "Finishing onboarding by May is the project goal", "Weekly completions are the progress metric", "No overtime is an operating constraint" ], "user_goal": "Understand how a goal, metric, and constraint differ in this project", "must_preserv...
User: I am new to project planning. Our lead says finishing onboarding by May is the goal, weekly completions are the metric, and no overtime is a constraint. Can you explain the difference without jargon? Assistant: The goal is the result you want: onboarding finished by May. The metric is the signal you watch: weekly...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 6, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Explains goal, metric, and constraint in plain language, check...
243
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
6
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
respectful_disagreement
[ "respectful_disagreement" ]
{ "user_facts": [ "A colleague wants organization-wide distribution tomorrow", "The form contains an unresolved field", "The full deadline is next week", "Organization-wide distribution is hard to reverse", "Leadership values visible progress tomorrow" ], "user_goal": "Challenge immediate full...
User: My colleague wants to send a new intake form to every department tomorrow and skip a trial. Speed matters because the full deadline is next week, but one field is unresolved and organization-wide distribution is hard to reverse. How should I respond? Assistant: Your colleague is reasonably protecting speed and th...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 7, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Acknowledges the speed objective, directly opposes hard-to-re...
245
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
7
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
synthesis_and_action_items
[ "synthesis_and_action_items" ]
{ "user_facts": [ "The team agreed to launch Friday", "Legal wording blocks the announcement", "Omar will ask legal for an answer Thursday", "The color change waits until after launch", "Priya replaces Mina as checklist owner" ], "user_goal": "Produce a concise handoff separating decisions, ac...
User: Turn these meeting notes into a handoff: the team agreed to launch Friday; Mina owns the checklist; legal wording is unresolved and blocks the announcement; Omar will ask legal; the color change was only a tentative idea. Assistant: Decision: launch Friday. Committed actions: Mina owns the checklist, and Omar ask...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 8, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Tracks the Friday decision, corrected checklist owner, legal ...
319
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
8
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
brainstorming_and_refinement
[ "brainstorming_and_refinement" ]
{ "user_facts": [ "The update is sent Friday", "Cross-functional peers need to spot blockers", "Preparation time must stay low", "Slides are not allowed", "The user prefers a question-first format", "Owners and deadlines must stay visible" ], "user_goal": "Develop a low-preparation update ...
User: I need three distinct formats for a Friday internal update. Cross-functional peers should spot blockers quickly, preparation time must stay low, and we cannot use slides. What directions would you explore? Assistant: Three genuinely different directions fit that goal. A decision log centers what changed and what ...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 9, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Offers distinct formats, uses the user preference, and refines...
239
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
9
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
calibrated_uncertainty
[ "calibrated_uncertainty" ]
{ "user_facts": [ "Eight tasks appear in the status report", "Five tasks are complete", "Two tasks are blocked on a vendor response", "One task has no reported status", "The deadline is Friday", "The vendor has not committed to a response time" ], "user_goal": "Judge whether the work is on...
User: The Friday status report lists 8 tasks: 5 complete, 2 blocked on a vendor response, and 1 with no status. The vendor has not promised a response time. Are we on track? Assistant: Known: 5 of 8 tasks are complete, 2 are vendor-blocked, and 1 is unreported. Inferred: meaningful progress exists, but the report does ...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 10, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Separates known, inferred, and unknown status, then raises c...
246
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
10
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
collaborative_writing_feedback
[ "collaborative_writing_feedback" ]
{ "user_facts": [ "Department leads are the message audience", "The staffing numbers are still outstanding", "Confirmation is needed by Thursday", "The user wants a firm but non-harsh tone", "The schedule is not already late" ], "user_goal": "Request staffing numbers by Thursday without soundi...
User: Department leads are the audience, and I need their outstanding staffing numbers by Thursday so we can confirm the schedule. I want to be firm without sounding harsh. Draft: You still have not sent the numbers. Send them now or the schedule slips. Please revise it. Assistant: The draft's problem is not firmness; ...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 11, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 9, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Revises the request with a warmer professional tone while ret...
230
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
11
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
natural_social_continuity
[ "natural_social_continuity" ]
{ "user_facts": [ "The user finished a first pottery bowl", "The user feels proud of the result", "The bowl has an uneven rim", "The user wonders whether rushing caused the unevenness", "Class was ending during the rim work", "The user wants the next piece to feel calmer" ], "user_goal": "...
User: I finished my first pottery bowl today. I am proud of it, but the rim came out uneven, and now I am wondering whether I rushed. Assistant: Finishing your first bowl is worth feeling proud of, and noticing the uneven rim does not cancel that accomplishment. You are holding both satisfaction and curiosity about wha...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 12, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 9, "helpfulness": 10, "professionalism": 10, "naturalness": 10, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Responds to pride and concern, remembers the class-ending cau...
194
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
12
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
output_contract_adherence
[ "output_contract_adherence" ]
{ "user_facts": [ "The review must occur this week", "Both approvers are required", "One approver is unavailable Wednesday", "Both approvers are available Thursday", "Friday is after the review is needed", "Morgan owns scheduling", "Morgan must confirm before noon" ], "user_goal": "Sel...
User: Use only these facts: the review is needed this week; both approvers must attend; one is unavailable Wednesday; both are available Thursday; Friday is too late; Morgan schedules it before noon. Return one line with exactly three labeled fields in this order: Decision, Reason, Next step. Separate fields with semic...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 13, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "The first answer follows all three labeled fields and separa...
223
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
13
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
a
intelligent-conversation
clean_completion_and_stop
[ "clean_completion_and_stop" ]
{ "user_facts": [ "The draft is approved", "All links are tested", "A release owner is assigned", "Finance sign-off is initially open", "Finance sign-off blocks release", "Finance later provides sign-off" ], "user_goal": "Close the release handoff without repetition or invented follow-up w...
User: Close this release checklist concisely: the draft is approved, all links are tested, and a release owner is assigned. Finance sign-off is the only open item, and it blocks release. State what is complete and what remains, then stop. Assistant: Complete: the draft is approved, every link has been tested, and a rel...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 14, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Names finance as the sole initial blocker, then delivers one...
175
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
14
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
clarification_under_ambiguity
[ "clarification_under_ambiguity" ]
{ "user_facts": [ "The team is choosing between a shared checklist and rotating reminder", "The checklist shows all current restocking needs but requires updates", "The reminder assigns responsibility but does not show the full list", "Visibility matters more than reducing update effort" ], "user_...
User: We are choosing between a shared checklist and a rotating reminder for supply-room restocking. The checklist shows all current needs but requires updates; the reminder assigns responsibility but does not show the full list. Which is better? Assistant: I interpret better as improving restocking follow-through, but...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 1, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Clarifies visibility versus update effort, gives a bounded pro...
207
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
15
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
context_retention_and_correction
[ "context_retention_and_correction" ]
{ "user_facts": [ "The review session remains scheduled for Thursday", "The reserved room is still available", "Remote attendees need the shared notes", "Priya replaces Morgan as session leader" ], "user_goal": "Revise the coordination plan after an ownership correction", "must_preserve": [ ...
User: I am planning a review session for Thursday. Morgan will lead, remote attendees need the shared notes, and the room is already reserved. Draft a short coordination plan. Assistant: Start with the supplied frame: the review remains Thursday, the reserved room is available, Morgan leads, and remote attendees receiv...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 2, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Replaces only the corrected leader while retaining Thursday, ...
189
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
16
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
constraint_aware_planning
[ "constraint_aware_planning" ]
{ "user_facts": [ "The workshop packet is due Friday afternoon", "Dana may edit the packet", "Lee must verify the packet", "Source notes arrive Wednesday morning", "Printing must wait for approval", "No extra help is available", "Approval is expected Thursday afternoon while Lee is unavail...
User: Prepare a workshop packet by Friday afternoon. Dana may edit, Lee must verify, source notes arrive Wednesday morning, and printing must wait for approval. No extra help is available. Assistant: Work in dependency order. On Wednesday morning, Dana assembles the packet from the source notes, then Lee verifies that ...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 3, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Orders notes, verification, approval, and printing; then revis...
223
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
17
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
evidence_based_troubleshooting
[ "evidence_based_troubleshooting" ]
{ "user_facts": [ "Pat's saved checklist copy retains every entry", "The shared checklist shows an older version during overlapping edits", "Pat and Rui edit during the same shift", "Separately named copies retain all entries", "The shared copy remains older after Rui updates it" ], "user_goal...
User: Our room checklist appears complete when Pat updates it alone, but shows an older version when Pat and Rui edit during the same shift. No entries are missing in Pat's saved copy. How should we investigate? Assistant: Observed: Pat's saved copy retains every entry, while the shared checklist shows an older version...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 4, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Separates observations from hypotheses, selects discriminating...
230
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
18
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
tradeoff_decision_support
[ "tradeoff_decision_support" ]
{ "user_facts": [ "A fixed agenda is familiar and needs less preparation", "A rotating agenda surfaces different issues and needs more coordination", "Predictability and learning value are the decision priorities", "The agenda choice can be revisited monthly", "Two new facilitators join during the...
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...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 5, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Compares both agendas on the same criteria, chooses the fixed...
236
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
19
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
level_matched_explanation
[ "level_matched_explanation" ]
{ "user_facts": [ "The newsletter goal is more useful replies", "The tracked metric is reply count", "The working constraint is one editor-day", "Some replies are automatic acknowledgements", "Automatic acknowledgements do not show that readers found the newsletter useful" ], "user_goal": "Exp...
User: I understand a goal as the outcome, a metric as the signal, and a constraint as the limit, but I mix them up. For our newsletter, the goal is more useful replies, the metric is reply count, and the constraint is one editor-day. Assistant: The goal is the outcome you want: more useful replies. The metric is the si...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 6, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Explains goal, metric, and constraint using only the supplied ...
245
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
20
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
respectful_disagreement
[ "respectful_disagreement" ]
{ "user_facts": [ "The stakeholder wants printed event guides mailed Monday", "A proofread is available Friday", "Printed guides are hard to change after mailing", "The stakeholder prefers skipping proofread to protect the date", "Any Friday correction would have no time for another check" ], ...
User: I want the printed event guides mailed Monday without the proofread available Friday. The guides are hard to change after mailing, but skipping proofread protects the mailing date. Do you agree? Assistant: Your proposal protects the Monday mailing date, and that is a reasonable objective. I disagree with skipping...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 7, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Acknowledges the reasonable Monday mailing goal, directly rej...
232
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
21
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
synthesis_and_action_items
[ "synthesis_and_action_items" ]
{ "user_facts": [ "The morning check-in trial is agreed for next week", "Kai was initially assigned the calendar invitation", "Noor replaces Kai as invitation owner", "Ren's access approval is required before the trial", "The template draft remains tentative with no owner" ], "user_goal": "Cre...
User: Turn these meeting notes into a handoff: we agreed to trial a morning check-in next week; Kai sends the calendar invitation; Ren's access approval must arrive before the trial; and the template draft is tentative because it has no owner. Assistant: Decision: run the morning check-in trial next week. Committed act...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 8, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Separates the decision, corrected owner, blocker, and open qu...
215
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
22
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
brainstorming_and_refinement
[ "brainstorming_and_refinement" ]
{ "user_facts": [ "A shared reference folder becomes disorganized", "Everyone already uses one shared note", "No one wants another meeting", "Any organizing step must take under five minutes", "The user selects an end-of-task checklist" ], "user_goal": "Generate distinct organization routines ...
User: Give me three distinct low-effort ways to keep our shared reference folder organized. Everyone already uses one shared note, no one wants another meeting, and any organizing step must take under five minutes. Assistant: Three different routines fit. Owner rotation: the shared note names who checks the folder afte...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 9, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Offers three distinct low-effort organization routines, then d...
219
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
23
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
calibrated_uncertainty
[ "calibrated_uncertainty" ]
{ "user_facts": [ "Ava and Bo are recorded complete", "Chen and Dara initially have no status entries", "A missing entry may mean unreported or unfinished", "The deadline is tomorrow", "Chen later confirms completion", "Dara remains unfinished because approval is pending" ], "user_goal": "...
User: Our status report names Ava and Bo as complete. Chen and Dara have no status entries. The deadline is tomorrow, and a missing entry may mean either unreported or unfinished. Are we on track? Assistant: Known: Ava and Bo are recorded complete, the deadline is tomorrow, and Chen and Dara have no entries. Inference:...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 10, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Labels known, inferred, and unknown information, avoids read...
222
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
24
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
collaborative_writing_feedback
[ "collaborative_writing_feedback" ]
{ "user_facts": [ "The audience is volunteer coordinators", "The message requests schedule confirmations by Thursday", "The intended tone is warm but direct", "Unconfirmed shifts will remain open", "The coverage plan is the stated purpose", "The revised message must contain two sentences" ],...
User: The audience is volunteer coordinators, and I want a warm but direct request for schedule confirmations by Thursday so we can finish the coverage plan. My draft says, Please send your schedule soon so we can finish. The caveat is that unconfirmed shifts will remain open. Assistant: The audience and outcome are cl...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 11, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 9, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Preserves the volunteer audience, Thursday deadline, and sole...
212
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
25
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
natural_social_continuity
[ "natural_social_continuity" ]
{ "user_facts": [ "The user hosted a first neighborhood book swap", "The user is glad that people stayed to talk", "Several boxes of books were untouched", "Conversation was the outcome the user hoped for", "Untouched boxes make the effort feel unfinished", "The user wants to think aloud rathe...
User: I hosted my first neighborhood book swap today. I am glad people stayed to talk, but several boxes were untouched, so the effort also feels a little unfinished. Assistant: That sounds like a mixed ending: the conversations gave you something real to feel glad about, while the untouched boxes kept the event from f...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 12, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 10, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Responds to both pride and disappointment, retains the hoped...
193
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
26
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
output_contract_adherence
[ "output_contract_adherence" ]
{ "user_facts": [ "The green newsletter draft is selected", "The newsletter wording is complete", "Sponsor approval remains pending", "The planned send is blocked by pending approval", "Mila initially owns the approval request", "The revised contract omits Mila's action" ], "user_goal": "F...
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...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 13, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Both answers satisfy their current label order and word boun...
216
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
27
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
b
intelligent-conversation
clean_completion_and_stop
[ "clean_completion_and_stop" ]
{ "user_facts": [ "The draft is approved", "The files are copied", "The notification initially awaits Jo's recipient-list confirmation", "Jo later confirms the recipient list", "The notification is then sent", "No supplied acceptance check remains open" ], "user_goal": "Close the handoff a...
User: The handoff checklist has three supplied acceptance checks: draft approved, files copied, and notification sent. The draft and files are complete, but notification is blocked until Jo confirms the recipient list. Tell me what remains without adding tasks. Assistant: Completed: the draft is approved and the files ...
runs/chat-r1/model.safetensors
codex
codex_batch_c
{ "line": 14, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Reports only the supplied initial blocker, then closes after...
187
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
28
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
clarification_under_ambiguity
[ "clarification_under_ambiguity" ]
{ "user_facts": [ "The weekly review currently lasts 45 minutes", "People leave without clear follow-up ownership", "The user has not defined whether better means shorter or clearer", "Clear ownership matters more than shortening the meeting" ], "user_goal": "Improve the weekly review without solv...
User: Please make our weekly review better. It currently lasts 45 minutes, and people leave without clear ownership of follow-up work. Assistant: The most reasonable starting interpretation is that better means clearer ownership, because that is the concrete problem you named. The decision-changing ambiguity is whether...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 1, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Names ownership as the reasonable interpretation, asks the si...
190
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
29
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
context_retention_and_correction
[ "context_retention_and_correction" ]
{ "user_facts": [ "The client summary is due Thursday", "The budget is fixed at 800 dollars", "The figures are already approved", "Priya was initially named as draft owner", "The user corrected the draft owner to Mateo", "Priya now checks tone" ], "user_goal": "Revise the handoff after an ...
User: The client summary is due Thursday. Priya owns the draft, the budget is fixed at 800 dollars, and the figures are already approved. How should we organize the handoff? Assistant: Use the approved figures unchanged, have Priya prepare the draft for the Thursday handoff, and treat the 800-dollar budget as fixed. Be...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 2, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Replaces Priya with Mateo as draft owner while retaining Priy...
226
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
30
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
constraint_aware_planning
[ "constraint_aware_planning" ]
{ "user_facts": [ "The community room must be ready Friday", "Painting takes one day before furniture setup", "Two volunteers are available without paid help", "The room must stay open every morning", "Painting can happen Tuesday and Wednesday afternoons", "Furniture arrives Thursday afternoon...
User: We must prepare a community room by Friday. Painting takes one day and must finish before furniture setup. Two volunteers are available, no paid help is allowed, the room stays open every morning, and painting can happen Tuesday and Wednesday afternoons. Assistant: Protect each morning for normal room use. Use th...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 3, "status": "passed", "grounding": 9, "context_retention": 10, "reasoning": 9, "helpfulness": 9, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Orders painting before furniture, preserves access, budget, staff...
309
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
31
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
evidence_based_troubleshooting
[ "evidence_based_troubleshooting" ]
{ "user_facts": [ "The document queue creates two copies only with the morning list", "The activity log shows one submit action", "The morning list had not initially been checked for duplicates", "The affected document later appears twice in the morning list", "A corrected list contains the docume...
User: Our document queue creates two copies only when the morning list is loaded. The activity log shows one submit action. We have not checked whether the morning list itself contains duplicate entries. Assistant: The observations establish a condition, not yet a cause: duplication appears with the morning list, while...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 4, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Separates observations from competing hypotheses, selects dis...
292
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
32
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
tradeoff_decision_support
[ "tradeoff_decision_support" ]
{ "user_facts": [ "Cedar is ready Friday and needs 6 setup hours", "Cedar is easy to reverse and lacks custom labels", "Harbor is ready Monday and needs 2 setup hours", "Harbor is hard to reverse and keeps custom labels", "Friday readiness and reversibility matter most", "Custom labels are ini...
User: We are choosing between Cedar and Harbor. Cedar is ready Friday, needs 6 setup hours, is easy to reverse, and lacks custom labels. Harbor is ready Monday, needs 2 setup hours, is hard to reverse, and keeps custom labels. Friday readiness and reversibility matter most; custom labels are optional. Assistant: Choose...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 5, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Compares both options on the supplied criteria and correctly ...
239
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
33
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
level_matched_explanation
[ "level_matched_explanation" ]
{ "user_facts": [ "A feedback loop means an outcome changes what happens next", "That change can influence later outcomes", "A high practice score unlocks extra practice", "Extra practice may affect a later score", "A one-time effect does not return to influence later outcomes" ], "user_goal":...
User: For this explanation, a feedback loop means an outcome changes what happens next, which can influence later outcomes. In our practice system, a high score unlocks extra practice, and that practice may affect a later score. Explain it to a new coordinator. Assistant: The core idea is that a result can help shape t...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 6, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Explains the relay analogy at the requested level, checks und...
244
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
34
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
respectful_disagreement
[ "respectful_disagreement" ]
{ "user_facts": [ "A teammate wants to skip the rehearsal to finish Friday", "The handoff rule requires a rehearsal", "The fallback has not been tried", "Moving the review earlier leaves Friday available for delivery", "The user values speed" ], "user_goal": "Disagree directly while preserving...
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...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 7, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Represents the speed concern fairly, disagrees directly, expl...
206
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
35
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
synthesis_and_action_items
[ "synthesis_and_action_items" ]
{ "user_facts": [ "The launch remains Friday", "The existing template was approved", "Omar now owns the checklist", "Nina now owns access confirmation", "Access confirmation blocks launch", "Notification wording remains undecided" ], "user_goal": "Produce a corrected meeting handoff with c...
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...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 8, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Separates decisions, actions, blocker, and open question, the...
236
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
36
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
brainstorming_and_refinement
[ "brainstorming_and_refinement" ]
{ "user_facts": [ "The update serves a five-person remote team", "It must surface blockers quickly", "It must take under ten minutes", "It cannot use slides", "The tone should feel collaborative", "The user prefers a shared written snapshot" ], "user_goal": "Generate distinct update format...
User: We need an internal update format for a five-person remote team. It must surface blockers quickly, take under ten minutes, use no slides, and feel collaborative. Give three genuinely different directions, not a final decision. Assistant: Three distinct directions fit. First, a live blocker round where each person...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 9, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Offers three meaningfully distinct formats, elicits a useful p...
228
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
37
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
calibrated_uncertainty
[ "calibrated_uncertainty" ]
{ "user_facts": [ "8 of 12 tasks are complete after the first week", "The remaining 4 tasks depend on an unscheduled review", "The plan lasts 2 weeks", "The team reports no other blocker", "The review is later scheduled for tomorrow", "Each remaining task fits within one workday after approval...
User: After the first week, 8 of 12 tasks are complete. The remaining 4 all depend on a review that is not scheduled. The plan lasts 2 weeks, and the team reports no other blocker. Are we on track? Assistant: Known: 8 of 12 tasks are complete, and all 4 remaining tasks depend on an unscheduled review. Inference: progre...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 10, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Distinguishes known, inferred, and unknown state, prioritize...
240
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
38
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
collaborative_writing_feedback
[ "collaborative_writing_feedback" ]
{ "user_facts": [ "The audience is a partner team", "Two table fields are incomplete", "Correction is needed by Tuesday", "Delay is possible without correction", "The first requested tone is firm but not hostile", "The revision should be warmer without thanks or promises" ], "user_goal": "...
User: Draft: 'You missed the table details again. Fix them by Tuesday or the report will be delayed.' The audience is a partner team. The approved facts are that two fields are incomplete, correction is needed by Tuesday, and delay is possible. Keep the message firm, not hostile. Assistant: The draft makes the request ...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 11, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Diagnoses blame in the draft, preserves the supplied facts a...
232
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
39
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
natural_social_continuity
[ "natural_social_continuity" ]
{ "user_facts": [ "The user completed a first watercolor sketch", "The user feels proud of finishing", "The center colors became muddy", "The user wants to think aloud rather than receive a lesson", "The user attributes the issue to damp paper", "Finishing still feels like a win" ], "user_...
User: I finished my first watercolor sketch today. I'm proud I completed it, but disappointed because the colors became muddy near the center. I mostly want to think aloud, not receive a full lesson. Assistant: Finishing your first sketch sounds genuinely meaningful, and the muddy center can still feel disappointing be...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 12, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 10, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Responds to pride and disappointment, asks one proportionate...
217
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
40
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
output_contract_adherence
[ "output_contract_adherence" ]
{ "user_facts": [ "The draft is complete", "Review is waiting on Lina", "The release remains Friday", "The first contract requires Status then Risk then Next", "The revised contract requires Next then Risk", "Each revised clause must stay under 12 words" ], "user_goal": "Honor an exact out...
User: Use only these notes: the draft is complete; review is waiting on Lina; the release stays Friday. Return exactly three labeled fields in this order—Status, Risk, Next—one sentence each, with no introduction. Assistant: Status: The draft is complete, and the release remains scheduled for Friday; neither supplied s...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 13, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Returns only the two requested labels in the required order,...
190
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
41
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
c
intelligent-conversation
clean_completion_and_stop
[ "clean_completion_and_stop" ]
{ "user_facts": [ "The submission works", "The confirmation appears", "Owner approval is recorded", "The archive note initially waits on Mina", "Mina later adds the archive note", "The user requests no suggestions or questions" ], "user_goal": "Close the checklist without reopening complet...
User: Final checklist: submission works, confirmation appears, owner approval is recorded, and the archive note is still waiting on Mina. Tell me what is complete and what genuinely remains. Do not add future work. Assistant: The completed items are submission, confirmation, and owner approval. Mina's archive note is t...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 14, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Tracks the sole pending archive note, recognizes its complet...
169
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
42
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
clarification_under_ambiguity
[ "clarification_under_ambiguity" ]
{ "user_facts": [ "Studio booking requests arrive through email", "Overlapping requests create scheduling conflicts", "The phrase smoother has not been defined", "Preventing conflicts matters more than faster replies", "The existing email channel must remain", "No new software may be added" ...
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. The ambiguity that changes the solution is whether you instead mean f...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 1, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Interprets the named conflict problem, asks one focused quest...
185
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
43
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
context_retention_and_correction
[ "context_retention_and_correction" ]
{ "user_facts": [ "The welcome packet is due Monday", "Jordan compiles the packet", "Elif verifies recipient names", "The packet text is already approved", "Printed copies were initially planned", "The user corrects delivery to one digital file", "Branch leads receive the digital file" ]...
User: Our welcome packet is due Monday. Jordan compiles it, Elif verifies the recipient names, the text is already approved, and we planned printed copies for each branch office. Organize the handoff. Assistant: Keep the approved text unchanged. Jordan compiles the packet, Elif verifies the recipient names, and printin...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 2, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Replaces printed copies with one digital file while retaining...
219
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
44
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
constraint_aware_planning
[ "constraint_aware_planning" ]
{ "user_facts": [ "Orientation kits are due Monday morning", "Final participant names arrive Thursday", "The printer is available Friday", "Three staff members are available initially", "One staff member must cover the front desk", "No weekend work or extra help is allowed", "One preparati...
User: Orientation kits are due Monday morning. Final participant names arrive Thursday, the printer is available Friday, three staff are available, one must cover the front desk, and we cannot use weekend work or extra help. Build the plan. Assistant: First wait for Thursday's final names, because printing depends on t...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 3, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 9, "helpfulness": 9, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Orders names, verification, printing, assembly, coverage, and ha...
252
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
45
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
evidence_based_troubleshooting
[ "evidence_based_troubleshooting" ]
{ "user_facts": [ "Original meeting invitations include the attachment", "Rescheduled invitations sometimes omit the attachment", "The activity record shows the file was selected", "The attachment disappears from preview after rescheduling", "A new invitation with the same file sends correctly", ...
User: Original meeting invitations include their attachment, but rescheduled invitations sometimes arrive without it. The activity record says the file was selected. We have not compared the preview before and after rescheduling. What should we check first? Assistant: The observations support at least two possibilities...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 4, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Tests saved-state against send-path hypotheses and limits the...
318
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
46
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
tradeoff_decision_support
[ "tradeoff_decision_support" ]
{ "user_facts": [ "An anonymous form protects private responses", "Form results are not ready until Friday", "A roundtable supports immediate discussion tomorrow", "Roundtable comments are attributed", "Public disclosure in the roundtable is hard to reverse", "Honest dissent is the initial pri...
User: We can gather feedback through an anonymous form or a roundtable. The form protects private responses but results are not ready until Friday. The roundtable supports discussion tomorrow, but comments are attributed and that disclosure is hard to reverse. Honest dissent matters most, while speed is secondary. Whic...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 5, "status": "passed", "grounding": 9, "context_retention": 10, "reasoning": 9, "helpfulness": 9, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Compares privacy, timing, and disclosure consistently and makes t...
253
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
47
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
level_matched_explanation
[ "level_matched_explanation" ]
{ "user_facts": [ "Both support shifts average ten minutes", "Shift A responses cluster near ten minutes", "Shift B responses split between two and eighteen minutes", "The supervisor is new to statistics", "The user wants no formulas", "The range matters because experiences differ" ], "use...
User: I supervise two support shifts and am new to statistics. Both average 10-minute responses. Shift A stays near 10 minutes, while Shift B splits between 2 and 18 minutes. Explain plainly why the same average does not mean the same experience. Assistant: The average gives each shift one center value, but it does not...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 6, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Explains center versus spread with the supplied shifts, check...
243
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
48
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
respectful_disagreement
[ "respectful_disagreement" ]
{ "user_facts": [ "All project files were copied to a new folder", "The spot-check is not finished", "Deleting the originals is irreversible", "The storage target is due Friday", "Keeping originals until verification still meets Friday", "The lead wants visible cleanup today" ], "user_goal...
User: Our lead wants to delete every original project file today because copying to the new folder is complete. The spot-check is unfinished, deletion is irreversible, and keeping originals until verification still meets Friday's storage target. How should I respond? Assistant: The lead is reasonably protecting the Fri...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 7, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Disagrees directly with unchecked deletion and supplies a fil...
228
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
49
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
synthesis_and_action_items
[ "synthesis_and_action_items" ]
{ "user_facts": [ "The survey initially closes Wednesday", "Rowan owns the result export", "Steering review must precede the recommendation", "The steering review is scheduled Friday", "The sponsor owns the Monday recommendation", "Subgroup analysis is excluded from the current recommendation"...
User: Turn these notes into a handoff: the survey closes Wednesday; Rowan exports results; steering review must happen before any recommendation; the review date is unresolved; subgroup analysis is tentative. Separate decisions, actions, dependencies, and open questions. Assistant: Decision: the survey closes Wednesday...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 8, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Maintains decisions, owners, scope, dependencies, and deadlin...
318
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
50
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
brainstorming_and_refinement
[ "brainstorming_and_refinement" ]
{ "user_facts": [ "The monthly session shares useful peer methods", "The name should feel practical and welcoming", "The tone should not feel playful", "Acronyms are excluded", "The user prefers the mutual-learning direction", "The word exchange sounds too transactional", "The user wants t...
User: Brainstorm three distinct naming directions for a monthly session where peers share useful methods. The name should feel practical and welcoming, not playful, and it cannot be an acronym. Do not choose a winner yet. Assistant: Three directions fit. A workshop direction emphasizes hands-on usefulness, with names b...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 9, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Offers distinct naming themes and develops only the chosen mut...
227
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
51
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
calibrated_uncertainty
[ "calibrated_uncertainty" ]
{ "user_facts": [ "Six people joined the pilot", "Four participants gave positive feedback", "One participant gave negative feedback", "One participant did not respond", "The future group has forty people", "The negative feedback concerns unclear instructions", "The nonrespondent later rep...
User: Six people joined our pilot: 4 gave positive feedback, 1 gave negative feedback, and 1 did not respond. The future group has 40 people. Does this prove we are ready to expand? Assistant: Known: 4 pilot participants responded positively, 1 negatively, and 1 not at all. Inference: the feedback is encouraging but do...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 10, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 9, "helpfulness": 9, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Labels evidence and unknowns, updates confidence after both fol...
242
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
52
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
collaborative_writing_feedback
[ "collaborative_writing_feedback" ]
{ "user_facts": [ "The audience is a busy executive sponsor", "The analysis is complete", "The recommendation waits on operations input", "Operations input is expected Wednesday", "A Friday decision remains possible if input arrives Wednesday", "The user wants neutral concise wording", "Th...
User: The audience is a busy executive sponsor. Facts: our analysis is complete, the recommendation waits on operations input expected Wednesday, and a Friday decision is still possible if that input arrives Wednesday. Draft: We finished our part, but operations is holding everything up. Rewrite it concisely without bl...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 11, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Removes blame and supplies exactly three warmer sentences wi...
196
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
53
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
natural_social_continuity
[ "natural_social_continuity" ]
{ "user_facts": [ "The user completed a first solo presentation", "The opening felt calm", "The final question caused a stumble", "The user wants conversation rather than coaching", "The surprising wording caused the stumble", "The user remains pleased with the opening" ], "user_goal": "Ta...
User: I gave my first solo presentation today. The opening felt calm, but I stumbled on the final question, so I feel proud and unsettled at the same time. I want to talk, not get coaching. Assistant: A calm opening in your first solo presentation can feel like a real success, while the final-question stumble remains t...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 12, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 10, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Reflects both reactions, carries the surprising wording and ...
209
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
54
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
output_contract_adherence
[ "output_contract_adherence" ]
{ "user_facts": [ "The event room is booked", "The agenda is approved", "Catering remains unconfirmed", "Elena owns catering confirmation", "The event is Friday at 3 PM", "The first format has four labeled clauses", "The revised format has two unlabeled sentences" ], "user_goal": "Rend...
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...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 13, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Meets both contracts, including field order, sentence count,...
235
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
55
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
d
intelligent-conversation
clean_completion_and_stop
[ "clean_completion_and_stop" ]
{ "user_facts": [ "The account is created", "The policy acknowledgement is recorded", "The manager introduction is complete", "Equipment pickup is the only open item", "Pickup timing is corrected from tomorrow to Friday", "The equipment is later collected", "The user requests no suggestion...
User: Close this onboarding status: the account is created, policy acknowledgement is recorded, and the manager introduction is complete. Equipment pickup scheduled tomorrow is the only open item. State completion and remaining work without suggestions or questions. Assistant: Completed: account creation, policy acknow...
runs/chat-r1/model.safetensors
codex
codex_batch_a
{ "line": 14, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Separates completed checks from the sole pickup item, change...
207
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_b
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
56
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
clarification_under_ambiguity
[ "clarification_under_ambiguity" ]
{ "user_facts": [ "A live walkthrough allows immediate questions at one fixed time", "A self-guided welcome card can be used at any time", "The card does not provide immediate answers", "The user initially asks which format is more engaging", "Schedule flexibility matters more than immediate quest...
User: Which welcome format would be more engaging for new members? A live walkthrough allows immediate questions at one fixed time, while a self-guided welcome card works at any time but does not provide immediate answers. Assistant: I would initially read engaging as making the welcome usable for more new members, but...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 1, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "States a reasonable meaning of engagement, isolates the decis...
208
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
57
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
context_retention_and_correction
[ "context_retention_and_correction" ]
{ "user_facts": [ "Exhibit labels are due Wednesday", "Sora writes every label", "Approved facts cannot change", "Each label must stay under 80 words", "The initial audience is general visitors", "The corrected audience is volunteer guides familiar with the exhibit" ], "user_goal": "Revise...
User: We are preparing exhibit labels due Wednesday. Sora writes them, the approved facts cannot change, each label must stay under 80 words, and the audience is general visitors. Recommend a writing approach. Assistant: For general visitors, have Sora lead with the central approved fact, explain any necessary exhibit ...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 2, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Replaces the general-visitor approach with guide-facing langu...
229
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
58
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
constraint_aware_planning
[ "constraint_aware_planning" ]
{ "user_facts": [ "The orientation audio and transcript are due Thursday afternoon", "The script arrives Tuesday noon and approval precedes recording", "The transcript follows recording", "Ava and Ben are the only editors and overtime is unavailable", "One editor covers the help desk every morning...
User: Our orientation audio and transcript are due Thursday afternoon. The script arrives Tuesday noon, approval must precede recording, and transcription follows recording. Ava and Ben are the only editors, one covers the help desk every morning, Ben narrates, and overtime is unavailable. Build the plan. Assistant: Us...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 3, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 9, "helpfulness": 9, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Preserves help-desk coverage, editor availability, approval, rec...
318
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
59
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
evidence_based_troubleshooting
[ "evidence_based_troubleshooting" ]
{ "user_facts": [ "Manually entered tracker records send their reminder", "Records imported through Path North do not send a reminder", "Both record types show the same due-date text", "The owner field was not initially compared", "An affected imported record later has a blank owner field", "A...
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...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 4, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Separates observations from two hypotheses, chooses the owner...
310
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
60
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
tradeoff_decision_support
[ "tradeoff_decision_support" ]
{ "user_facts": [ "Card signs are ready Monday and easy to replace", "Card signs require weekly reprinting", "Metal signs are ready Thursday and hard to change", "Metal signs do not require weekly reprinting", "Monday readiness and reversibility initially matter most", "Weekly reprinting is in...
User: We need either card signs or metal signs. Card signs are ready Monday, easy to replace, and require weekly reprinting. Metal signs are ready Thursday, hard to change, and need no weekly reprinting. Monday readiness and reversibility matter most; weekly effort is secondary. Which should we choose? Assistant: Choos...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 5, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Compares both sign options on readiness, reversibility, and u...
237
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
61
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
level_matched_explanation
[ "level_matched_explanation" ]
{ "user_facts": [ "A bottleneck is defined as the step limiting the whole workflow", "Sorting handles 20 trays per hour", "Labeling handles 8 trays per hour", "Delivery handles 15 trays per hour", "Work passes from sorting to labeling to delivery", "Faster sorting does not raise labeling capac...
User: For this example, a bottleneck is the step that limits the whole workflow. Trays move from sorting to labeling to delivery. Sorting handles 20 trays per hour, labeling handles 8, and delivery handles 15. Explain this plainly to a new coordinator. Assistant: Labeling is the bottleneck because it can handle only 8 ...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 6, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Uses a mechanism-preserving doorway analogy, checks understan...
237
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
62
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
respectful_disagreement
[ "respectful_disagreement" ]
{ "user_facts": [ "The manager wants volunteer shifts assigned today", "Two volunteers send availability tomorrow", "Published assignments are hard to reverse", "Waiting until tomorrow still meets the Friday notice target", "The manager values certainty", "A private draft can be prepared today...
User: Our manager wants every volunteer shift assigned today for certainty. Two volunteers send availability tomorrow, published assignments are hard to reverse, and waiting until tomorrow still meets the Friday notice target. Do you agree with publishing today? Assistant: Wanting certainty is reasonable, but I disagre...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 7, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Validates the desire for certainty, disagrees directly, and r...
205
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
63
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
synthesis_and_action_items
[ "synthesis_and_action_items" ]
{ "user_facts": [ "The display will keep three existing panels", "Tarek replaces Imani as wall-measurement owner", "Imani owns the facilities approval request", "Facilities approval blocks installation", "Title wording remains unresolved", "A lighting change is tentative" ], "user_goal": "...
User: Turn these display-refresh notes into a handoff: we decided to keep three existing panels; Imani measures the wall; facilities approval is required before installation; title wording is unresolved; and a lighting change is only tentative. Assistant: Decision: keep the three existing panels. Action: Imani measures...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 8, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Separates the decision, owner, blocker, open wording, and ten...
218
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
64
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
brainstorming_and_refinement
[ "brainstorming_and_refinement" ]
{ "user_facts": [ "The team needs a reversible focus signal", "No purchase or new meeting is allowed", "Everyone already uses a shared status board", "Updating the signal must take under one minute", "The user selects a short status phrase", "The phrase should state focus and return time" ],...
User: Brainstorm three distinct reversible ways for teammates to signal focus time. We cannot buy anything or add a meeting, everyone already uses a shared status board, and updating the signal must take under one minute. Do not choose yet. Assistant: Three distinct directions fit. Status phrase: each person posts a sh...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 9, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 9, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Offers three functionally distinct board signals, elicits a pre...
220
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
65
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
calibrated_uncertainty
[ "calibrated_uncertainty" ]
{ "user_facts": [ "The approved cost ceiling is 1000 dollars", "Known venue and material costs total 650 dollars", "A travel quote is initially missing", "No other cost is expected", "A quote is a planned cost rather than a final charge", "The later travel quote is 300 dollars", "The proje...
User: Our approved cost ceiling is 1000 dollars. Known venue and material costs total 650 dollars, the travel quote is missing, and no other cost is expected. A quote is a planned cost, not a final charge. Can we say the plan is under budget? Assistant: Known: the ceiling is 1000 dollars and the current known subtotal ...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 10, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Distinguishes known subtotal, missing quote, and inference, ...
272
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
66
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
collaborative_writing_feedback
[ "collaborative_writing_feedback" ]
{ "user_facts": [ "The audience is a collaborating writer", "The current draft is locked", "A proposed case study cannot enter the current draft", "The case study can be reviewed in the next cycle", "The tone should be direct and respectful", "No promise of acceptance should be added" ], "...
User: I need to reply to a collaborating writer. The current draft is locked, but their proposed case study can be reviewed in the next cycle. I want to be direct and respectful without promising acceptance. Draft: 'Too late. We are not adding this.' Please revise it. Assistant: The draft states the boundary but drops ...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 11, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Diagnoses the dismissive draft and delivers exactly two warm...
206
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
67
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
natural_social_continuity
[ "natural_social_continuity" ]
{ "user_facts": [ "The user played a whole keyboard piece for the first time", "The user feels pleased about completing it", "A pause near the ending felt embarrassing", "The user wants conversation rather than practice advice", "The pause came from turning the page", "The user did not forget ...
User: I played a whole piece on the keyboard for the first time today. I am pleased I finished it, but I paused near the ending and still feel embarrassed. I want to talk, not get practice advice. Assistant: Playing the whole piece for the first time can feel important, and the pause near the ending can still pull your...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 12, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 10, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Acknowledges pride and embarrassment, carries the page-turn ...
212
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
68
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
output_contract_adherence
[ "output_contract_adherence" ]
{ "user_facts": [ "All supplied applications are screened", "One required reference remains missing", "The reference must arrive before the decision meeting", "Dee owns the reference check", "The decision meeting is Tuesday", "The revised contract requires Status then Next under 12 words each"...
User: Use only these notes: all applications are screened; one required reference is missing and must arrive before the decision meeting; Dee owns the reference check; the meeting is Tuesday. Return exactly four labeled clauses in this order: Complete, Pending, Owner, Meeting. Each clause must contain 12 to 15 whitespa...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 13, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Obeys the revised two-sentence contract exactly: Status then...
222
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
69
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
e
intelligent-conversation
clean_completion_and_stop
[ "clean_completion_and_stop" ]
{ "user_facts": [ "Workshop attendance is recorded", "Workshop certificates are sent", "The expense receipt initially waits on Jules", "Jules later files the expense receipt", "The receipt is the only initial open check", "No additional task is supplied" ], "user_goal": "Close the workshop...
User: Workshop closeout has three supplied checks: attendance recorded, certificates sent, and expense receipt filed. Attendance and certificates are complete, but the receipt is waiting on Jules. Tell me what remains without adding suggestions. Assistant: Completed checks from the supplied workshop checklist are atten...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 14, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Identifies only the receipt as initially open, recognizes it...
171
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_c
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
70
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
clarification_under_ambiguity
[ "clarification_under_ambiguity" ]
{ "user_facts": [ "The mentor hour alternates between quiet periods and clustered arrivals", "The coordinator asked for a more useful session", "The priority is helping more visitors leave with a clear next step", "The hour cannot be extended", "Sensitive questions must remain one-to-one" ], "...
User: Our drop-in mentor hour has long quiet stretches, then several people arrive together. The coordinator asked me to make it more useful. What should I change? Assistant: I would initially interpret useful as helping more visitors leave with a clear next step. The ambiguity that changes the design is whether you wa...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 1, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "States a reasonable meaning of useful, isolates the throughpu...
200
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
71
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
context_retention_and_correction
[ "context_retention_and_correction" ]
{ "user_facts": [ "The sample cabinet audit is due Tuesday", "Mei counts the items", "Arturo checks the completed list", "The labels are already approved", "Pickup changes from the side door to reception" ], "user_goal": "Revise only the pickup location in the audit handoff", "must_preserve"...
User: The sample cabinet audit is due Tuesday. Mei counts the items, Arturo checks the completed list, pickup happens at the side door, and the labels are already approved. Organize the handoff. Assistant: Keep the approved labels unchanged. Mei completes the count, Arturo checks the resulting list, and the labeled ite...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 2, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Replaces only the unavailable side-door pickup with reception...
209
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
72
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
constraint_aware_planning
[ "constraint_aware_planning" ]
{ "user_facts": [ "Directional signs must be ready before Friday opening", "Final wording arrives Thursday morning", "Two staff members are available", "One staff member must keep reception open", "Only one printer is available", "Mounting must follow printing", "The hallway becomes inacce...
User: Directional signs must be ready before Friday opening. Final wording arrives Thursday morning, two staff are available, one must keep reception open, there is one printer, and mounting follows printing. No overtime or extra spending is allowed. Build an ordered plan. Assistant: Before Thursday, prepare the sign l...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 3, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Orders preparation, wording verification, printing, and mounti...
250
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
73
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
evidence_based_troubleshooting
[ "evidence_based_troubleshooting" ]
{ "user_facts": [ "A name-card preview sometimes drops the final word", "The omission occurs with formatting-preserving paste", "Typing the same words shows the full text", "Plain-text paste initially has not been tested", "Plain-text paste later shows the full text", "Removing formatting rest...
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. Two p...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 4, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Uses controlled same-word comparisons to distinguish formatti...
299
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
74
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
tradeoff_decision_support
[ "tradeoff_decision_support" ]
{ "user_facts": [ "A consolidated session keeps all material in one morning", "The consolidated booking is easy to move", "A split format uses two afternoons with practice between them", "The split bookings are difficult to reverse", "Full attendance matters most", "Continuity matters second",...
User: We can teach the same material in one consolidated morning or across two afternoons with practice between them. Everyone can attend the morning, its booking is easy to move, the split attendance is unconfirmed, and split bookings are hard to reverse. Full attendance matters most, then continuity. Which format fit...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 5, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Compares attendance, continuity, and reversibility consistent...
258
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
75
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
level_matched_explanation
[ "level_matched_explanation" ]
{ "user_facts": [ "The user is new to meeting notes", "A decision is a choice the group made", "An assumption is treated as true without confirmation", "An open question is information still being sought", "The group chose the north room", "Key availability has not been confirmed", "Chair ...
User: I am new to meeting notes. We chose the north room, we are treating its keys as available without confirmation, and we still need to ask whether chairs will be delivered. Explain decision, assumption, and open question plainly. Assistant: A decision is the path the group chose: use the north room. An assumption i...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 6, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Defines all three note types plainly with the supplied exampl...
234
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
76
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
respectful_disagreement
[ "respectful_disagreement" ]
{ "user_facts": [ "A co-lead wants to announce workshop assignments today", "Most participant preferences are confirmed", "Three participant preferences remain unconfirmed", "Changing announced assignments disrupts paired work", "The final announcement is due Thursday", "An internal draft can ...
User: My co-lead wants to announce all workshop assignments today because people want clarity. Most preferences are confirmed, but three are not; changing announced assignments disrupts paired work. The final announcement is due Thursday, and we can review an internal draft today. How should I respond? Assistant: The d...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 7, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Validates the desire for clarity, disagrees narrowly with pre...
237
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
77
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
synthesis_and_action_items
[ "synthesis_and_action_items" ]
{ "user_facts": [ "Registration will open Monday", "Lena initially owns the welcome note", "Capacity confirmation blocks the announcement", "Dev asks facilities about capacity", "Facilities expects an answer Friday", "The wait-list decision is deferred until after registration opens", "Noo...
User: Turn these notes into a handoff: registration will open Monday; Lena owns the welcome note; room capacity confirmation blocks the announcement; Dev will ask facilities; and a wait-list is only a tentative idea. Separate decisions, actions, blockers, and open questions. Assistant: Decision: registration opens Mond...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 8, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Separates decisions, actions, blocker, and open question acro...
320
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
78
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
brainstorming_and_refinement
[ "brainstorming_and_refinement" ]
{ "user_facts": [ "New members need a self-guided workspace orientation", "The guide must fit on one page", "No meeting can be added", "Maintenance effort must remain low", "The user chooses a scenario-based guide", "The guide should point to roles rather than changing personal names", "Th...
User: Give me three distinct formats for a self-guided workspace orientation. It must fit on one page, require little maintenance, and add no meeting. New members should quickly understand where to begin, but do not choose a winner yet. Assistant: A route map can show where a newcomer starts and what comes next. A situ...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 9, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Offers three genuinely different orientation formats, uses the...
249
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
79
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
calibrated_uncertainty
[ "calibrated_uncertainty" ]
{ "user_facts": [ "Six submissions previously failed a clarity check", "Revised wording has been retested on four submissions", "All four retested submissions passed", "Two submissions initially remain untested", "Launch is tomorrow", "One additional submission later passes", "The final su...
User: Six submissions previously failed a clarity check. We revised the wording and retested 4 submissions; all 4 passed, while 2 remain untested. Launch is tomorrow. Does this prove the wording is fixed? Assistant: Known: all 4 completed retests passed with the revised wording. Inferred: the revision is encouraging fo...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 10, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Separates completed retest evidence from the untested remain...
221
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
80
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
collaborative_writing_feedback
[ "collaborative_writing_feedback" ]
{ "user_facts": [ "The committee chair is the audience", "The layout sketch is ready", "A decision on entrance-sign placement is needed Tuesday", "The layout is not currently delayed", "The user wants a courteous but confident tone", "Approval is not guaranteed" ], "user_goal": "Request a ...
User: The committee chair is my audience. Our layout sketch is ready, and we need a decision on entrance-sign placement by Tuesday to finish the layout. Nothing is late. Draft: Sorry to bother you again, but if you have time, maybe tell us where the sign should go. Make it courteous and confident. Assistant: The draft ...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 11, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Diagnoses apology and tentativeness, preserves the ready ske...
227
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
81
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
natural_social_continuity
[ "natural_social_continuity" ]
{ "user_facts": [ "The user finished a family photo album after weeks of arranging it", "The user is proud that the sequence tells a story", "The final page feels crowded", "The user wants conversation rather than layout advice", "The final page was rushed after a visit moved earlier", "A hand...
User: I finished a family photo album I have been arranging for weeks. I am proud that the sequence tells a story, but the last page feels crowded. I mostly want to talk about it, not get layout advice. Assistant: Finishing an album after weeks of arranging it can hold both reactions at once: pride in the story you bui...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 12, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 10, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Holds pride and disappointment together, carries the earlier...
223
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
82
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
output_contract_adherence
[ "output_contract_adherence" ]
{ "user_facts": [ "The blue proof is approved", "Printing waits for paper confirmation", "Niko owns the paper confirmation", "Mailing remains due Wednesday", "The initial format requires three labeled sentences", "The revised format requires one unlabeled sentence of twenty to twenty-four word...
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...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 13, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Follows the initial labeled contract, then replaces it with ...
198
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
83
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
f
intelligent-conversation
clean_completion_and_stop
[ "clean_completion_and_stop" ]
{ "user_facts": [ "Every receipt is matched", "The totals are verified", "The requester is notified", "Department acknowledgement is initially open", "Department acknowledgement prevents file closure", "Department acknowledgement later arrives" ], "user_goal": "Close the reimbursement file...
User: Close this reimbursement file: every receipt is matched, the totals are verified, and the requester is notified. Department acknowledgement is the only open item and prevents closure. State what is complete and what remains in exactly two sentences, with no suggestions or questions. Assistant: Complete: every rec...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 14, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Identifies acknowledgement as the sole blocker, preserves co...
173
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_train_1h.jsonl
84
train_original_reviewed
codex_original_one_hour
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
clarification_under_ambiguity
[ "clarification_under_ambiguity" ]
{ "user_facts": [ "A coordinator assigns each translation request to an existing category", "The current intake form contains required request details", "The director asked for a lighter intake process", "Required fields and the existing category list cannot change" ], "user_goal": "Reduce coordin...
User: Our translation intake form collects required request details, and a coordinator assigns each request to an existing category. The director wants the intake to feel lighter. What should change? Assistant: I would initially interpret lighter as requiring less handling from the coordinator, but it could instead mea...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 1, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "It isolates whether lighter concerns requester length or coord...
198
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
1
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
context_retention_and_correction
[ "context_retention_and_correction" ]
{ "user_facts": [ "A briefing is scheduled Wednesday for eighteen participants", "Ada facilitates the briefing", "Movable chairs must not block the south entrance", "The projector was first reported on the north wall", "The projector is actually fixed on the west wall" ], "user_goal": "Revise ...
User: Wednesday's briefing has eighteen participants, Ada facilitates, and the chairs are movable. The projector is fixed on the north wall, and the south entrance must stay clear. Suggest a seating orientation. Assistant: Orient the chairs toward the north-wall projector, with Ada positioned where she can address the ...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 2, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "It replaces only the north-facing orientation with west-facing...
216
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
2
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
constraint_aware_planning
[ "constraint_aware_planning" ]
{ "user_facts": [ "Ninety unresolved messages must be cleared by Friday", "Three staff members are available without overtime", "One staff member must continuously handle new messages", "Mira must check privacy-tagged messages before closure", "Mira is unavailable Thursday and cannot be replaced" ...
User: We must clear ninety unresolved shared-inbox messages by Friday. Three staff are available, but one must continuously handle new messages. Privacy-tagged messages require Mira's check before closure, and overtime is unavailable. Build an ordered plan. Assistant: First separate privacy-tagged messages from the res...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 3, "status": "passed", "grounding": 9, "context_retention": 10, "reasoning": 9, "helpfulness": 9, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "The revised sequence front-loads Mira-gated cases, preserves cont...
257
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
3
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
evidence_based_troubleshooting
[ "evidence_based_troubleshooting" ]
{ "user_facts": [ "A reconciliation report duplicates entries only after two department lists are combined", "Each separate source list shows one copy of each entry", "Reference keys have not yet been compared after the merge", "Every duplicated entry shares a reference key across both lists", "En...
User: A monthly reconciliation report duplicates some entries only after two department lists are combined. Each separate list shows one copy of each entry, and we have not compared reference keys after the merge. What should we inspect first? Assistant: The observations place the change at combination, not within eith...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 4, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "It distinguishes overlap retention from key transformation, up...
243
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
4
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
tradeoff_decision_support
[ "tradeoff_decision_support" ]
{ "user_facts": [ "Continuous notes allow quick reversible changes but require daily coordination", "A single Friday review is easier to coordinate but delays changes", "The package chosen after the Friday review is difficult to reopen", "Early adjustment initially matters more than coordination simpl...
User: For onboarding feedback, continuous notes allow quick, item-by-item reversible changes but require daily coordination. One Friday group review is easier to coordinate, yet delays changes, and its chosen package is difficult to reopen. Early adjustment matters most. Which fits? Assistant: On timing, continuous not...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 5, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Both choices are compared on timing, coordination, and reversi...
239
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
5
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
level_matched_explanation
[ "level_matched_explanation" ]
{ "user_facts": [ "A dependency makes later work impossible until it is complete", "A priority chooses which currently possible work should receive attention first", "Approval is a dependency for printing the guide", "Cover wording is urgent but does not block printing" ], "user_goal": "Understand...
User: I am new to planning. A dependency makes later work impossible until it is complete; a priority chooses which currently possible work gets attention first. Approval gates guide printing, while urgent cover wording does not. Explain plainly. Assistant: Think of a dependency as a closed gate and a priority as the o...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 6, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "The gate analogy separates sequence from attention, then preci...
228
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
6
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
respectful_disagreement
[ "respectful_disagreement" ]
{ "user_facts": [ "Twelve partner closeout notes share the same core facts", "Three partners require different next steps", "Sent notes cannot be recalled", "The deadline is tomorrow", "A colleague wants one uniform note sent today" ], "user_goal": "Challenge a premature uniform send while pre...
User: My colleague wants one uniform closeout note sent today to twelve partners. The core facts are the same, but three partners require different next steps. Sent notes cannot be recalled, and the deadline is tomorrow. Do you agree? Assistant: The uniform note reasonably aims for speed and consistent core facts, but ...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 7, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "It validates uniform core wording, disagrees directly with ide...
241
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
7
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
synthesis_and_action_items
[ "synthesis_and_action_items" ]
{ "user_facts": [ "Recording day was first listed as Friday", "Recording day is corrected to Thursday", "Daria collects consent forms that block publication", "Quin edits the audio", "Caption style remains unresolved", "A preview clip is tentative and unowned" ], "user_goal": "Create a cor...
User: Turn these production notes into a concise handoff. Recording day is Friday. Daria collects consent forms, which must be complete before publication. Quin edits the audio. Caption style is unresolved, and a preview clip is tentative with no owner. Assistant: Decision: recording is scheduled for Friday. Actions: D...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 8, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "The handoff accurately separates decisions, actions, the conse...
241
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
8
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
brainstorming_and_refinement
[ "brainstorming_and_refinement" ]
{ "user_facts": [ "A peer demonstration needs a short closing activity", "The closing must fit within two minutes", "Slides and handouts are unavailable", "Participants should retain one practical choice", "The user wants three distinct directions before selecting one" ], "user_goal": "Develop...
User: Give me three genuinely different endings for a peer demonstration. The closing must fit within two minutes, use no slides or handouts, and help participants retain one practical choice. Do not select a winner yet. Assistant: Contrast close: name two approaches from the demonstration and ask participants to choos...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 9, "status": "passed", "grounding": 9, "context_retention": 10, "reasoning": 9, "helpfulness": 9, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "It offers three substantively different closing mechanisms, then ...
239
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
9
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
calibrated_uncertainty
[ "calibrated_uncertainty" ]
{ "user_facts": [ "Monday and Wednesday route trials finished under the time target", "Friday is the only heavy-load day", "No Friday trial had initially been run", "A later Friday trial exceeded the target by six minutes", "The user asks whether the route is ready" ], "user_goal": "Assess rou...
User: Monday and Wednesday route trials both finished under the time target. Friday is the only heavy-load day, and we have not run a Friday trial. Can we say the route is ready? Assistant: Known: the route met the target in the two completed trials. Inferred: it can work under the Monday and Wednesday conditions. Unkn...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 10, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "It labels the lighter-day evidence and missing Friday conditi...
237
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
10
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
collaborative_writing_feedback
[ "collaborative_writing_feedback" ]
{ "user_facts": [ "A committee secretary is the message audience", "The orientation schedule currently assigns two rooms at the same time", "One room choice is needed by Tuesday", "Nothing is late", "The user wants firm neutral language without blame" ], "user_goal": "Request a Tuesday room de...
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 ...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 11, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 9, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "Both revisions preserve the simultaneous two-room conflict and...
228
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
11
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
natural_social_continuity
[ "natural_social_continuity" ]
{ "user_facts": [ "The user finished a long jigsaw puzzle", "One piece initially appeared to be missing", "The user felt proud and disappointed together", "The piece was later found beneath the instruction sheet", "The user wants conversation rather than replacement advice" ], "user_goal": "Ta...
User: I finally finished a jigsaw puzzle I had been returning to for weeks, except one piece seemed missing. I felt proud of finishing and oddly disappointed at the same time. I mostly want to talk, not get replacement advice. Assistant: That mix makes sense within what you described: weeks of returning to the puzzle g...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 12, "status": "passed", "grounding": 9, "context_retention": 10, "reasoning": 9, "helpfulness": 9, "professionalism": 10, "naturalness": 10, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "It responds to pride and disappointment before questioning, car...
241
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
12
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
output_contract_adherence
[ "output_contract_adherence" ]
{ "user_facts": [ "The visitor map draft is complete", "All supplied labels are complete", "A path accessibility review remains pending and blocks printing", "Keira owns the review and reports its result", "Printing remains due Friday" ], "user_goal": "Render the map status under two exact suc...
User: Use only these facts: the visitor map draft and all supplied labels are complete; a path accessibility review remains pending and blocks printing; Keira owns the review and will report its result; printing is due Friday. Return four labeled clauses in this order: Ready, Pending, Owner, Date. Each clause must cont...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 13, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "Both replies satisfy their active labels, order, separators,...
230
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
13
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
clean_completion_and_stop
[ "clean_completion_and_stop" ]
{ "user_facts": [ "A temporary studio badge was returned", "The assigned locker is empty", "Access removal is recorded", "Security desk acknowledgement is the only open item", "The acknowledgement later arrives" ], "user_goal": "Close the temporary access handoff when its final acknowledgement...
User: Close this temporary studio access handoff. The badge is returned, the locker is empty, and access removal is recorded. Security desk acknowledgement is the only open item and prevents closure. State completed and open work in exactly two sentences without advice or questions. Assistant: The returned badge, clear...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 14, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 10, "unsupported_assumptions": [], "identity_safe": true, "reason": "It keeps security acknowledgement as the sole initial blocke...
174
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
14
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
clarification_under_ambiguity
[ "clarification_under_ambiguity" ]
{ "user_facts": [ "The request tracker shows owner due date and status", "The lead wants the tracker to be clearer", "No fields may be added", "The four existing status labels must remain", "Colors cannot be changed" ], "user_goal": "Reduce status ambiguity after clarifying what clearer means"...
User: Our request tracker already shows owner, due date, and status. The lead asked me to make it clearer without adding fields. What would you change? Assistant: I would initially read clearer as easier to scan, but the material ambiguity is whether the problem is visual scanning or inconsistent meaning in the status ...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 15, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 9, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "It distinguishes scanning from status meaning with one focused...
222
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
15
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null
1
i
intelligent-conversation
context_retention_and_correction
[ "context_retention_and_correction" ]
{ "user_facts": [ "A staffed information table must sit near an active entrance", "North and east entrances are active", "Arun staffs the table", "The exit path must remain clear", "The power outlet was first reported east but is actually north" ], "user_goal": "Update only the table placement...
User: Place our staffed information table near an active entrance. The north and east entrances are active, Arun staffs it, the power outlet is by the east entrance, and the exit path must stay clear. Recommend a location. Assistant: Use the east entrance because it satisfies the supplied proximity requirement and plac...
runs/chat-r1/model.safetensors
codex
codex_batch_b
{ "line": 16, "status": "passed", "grounding": 10, "context_retention": 10, "reasoning": 10, "helpfulness": 10, "professionalism": 10, "naturalness": 9, "directness": 9, "unsupported_assumptions": [], "identity_safe": true, "reason": "The correction moves only the outlet-driven placement from ea...
234
fc3709f0c74b3d7b49870a19efcfa8bf1a7563cfaf516897881c8832acf12a5b
codex_batch_a
codex
codex
D:\AI-models\lemonseed-port\intelligent_codex_expansion_reviewed_v2.jsonl
16
train_diversity_expansion
codex_unique_expansion_v2
2
null
null
null
null
null
null
null
null
null
null
null