answer stringlengths 2 697 | deep_reasoning stringlengths 175 534 | dialogue_history listlengths 3 65 | dialogue_id stringlengths 21 51 | domain stringclasses 14
values | id stringlengths 41 72 | is_high_quality bool 2
classes | metadata unknown | quality_flags listlengths 0 10 | quality_score float64 0 1 | source_dataset stringclasses 3
values | source_id stringlengths 11 40 | split stringclasses 1
value | streaming_chunks listlengths 3 65 | streaming_reasoning listlengths 3 65 | task_type stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
do you have any going anywhere in the EU? If you do, those are less expensive. | The dialogue is shopping assistance in shopping retail, with information request intent. Key constraints are item_type=bubble wrap and to post a packa, stamps here. The answer is grounded because it responds to that goal using only those stated details. | [
{
"speaker": "user",
"text": "excuse me, could you tell me which line I ' m supposed to stand in to buy bubble wrap and to post a package?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "you can buy the bubble wrap here, but you ' ll have to stand in line over here to post your passage.... | DailyDialog_test_000046 | shopping | life_mt_sct_DailyDialog_test_000046_target10 | true | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categor... | [] | 1 | DailyDialog | test_000046 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",... | prefix_to_next_assistant_text |
For coach about $1195. | The visible history is a flight booking task in travel transportation. Known constraints are budget=7, 21, $1,700; date_or_duration=afternoon; destination=san francisco; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hello, I need a round trip flight to San Francisco.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hello, how can I help you? Can you give me some specifications?",
"turn_id": 2
},
{
"speaker": "user",
"text": "Yes. I need to be sure if it ... | Taskmaster_dlg-01af92d0-3ba7-42ac-b2d1-3af8ac82df2c | travel | life_mt_sct_Taskmaster_dlg-01af92d0-3ba7-42ac-b2d1-3af8ac82df2c_target18 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [
"low_information_answer"
] | 0.749 | Taskmaster | dlg-01af92d0-3ba7-42ac-b2d1-3af8ac82df2c | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
ok, here you go. That will be 18 pounds and seventy two pence. | The dialogue is shopping assistance in shopping retail, with confirmation clarification intent. Key constraints are item_type=bubble wrap and to post a packa, stamps here. The answer is grounded because it responds to that goal using only those stated details. | [
{
"speaker": "user",
"text": "excuse me, could you tell me which line I ' m supposed to stand in to buy bubble wrap and to post a package?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "you can buy the bubble wrap here, but you ' ll have to stand in line over here to post your passage.... | DailyDialog_test_000046 | shopping | life_mt_sct_DailyDialog_test_000046_target12 | true | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categor... | [] | 1 | DailyDialog | test_000046 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",... | prefix_to_next_assistant_text |
Awesome! You are all set. You're welcome. | The visible history is a flight booking task in travel transportation. Known constraints are budget=7, 21, $1,700; date_or_duration=afternoon; destination=san francisco; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hello, I need a round trip flight to San Francisco.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hello, how can I help you? Can you give me some specifications?",
"turn_id": 2
},
{
"speaker": "user",
"text": "Yes. I need to be sure if it ... | Taskmaster_dlg-01af92d0-3ba7-42ac-b2d1-3af8ac82df2c | travel | life_mt_sct_Taskmaster_dlg-01af92d0-3ba7-42ac-b2d1-3af8ac82df2c_target20 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [] | 0.899 | Taskmaster | dlg-01af92d0-3ba7-42ac-b2d1-3af8ac82df2c | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
that ' s another quid. | The dialogue is shopping assistance in shopping retail, with information request intent. Key constraints are item_type=bubble wrap and to post a packa, stamps here. The answer is grounded because it responds to that goal using only those stated details. | [
{
"speaker": "user",
"text": "excuse me, could you tell me which line I ' m supposed to stand in to buy bubble wrap and to post a package?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "you can buy the bubble wrap here, but you ' ll have to stand in line over here to post your passage.... | DailyDialog_test_000046 | shopping | life_mt_sct_DailyDialog_test_000046_target14 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categor... | [
"low_information_answer"
] | 0.749 | DailyDialog | test_000046 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",... | prefix_to_next_assistant_text |
Do u want to leave in the morning or afternoon flight? | The visible history is a flight booking task in travel transportation. Known constraints are transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi, I need help in finding a flight to Copenhagen.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hi, how can I help you? On which dates?",
"turn_id": 2
},
{
"speaker": "user",
"text": "From March 26th to March 28th.",
"turn_id": 3
}
... | Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | travel | life_mt_sct_Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622_target4 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [] | 1 | Taskmaster | dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | prefix_to_next_assistant_text |
Any price limit? | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=afternoon; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi, I need help in finding a flight to Copenhagen.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hi, how can I help you? On which dates?",
"turn_id": 2
},
{
"speaker": "user",
"text": "From March 26th to March 28th.",
"turn_id": 3
},... | Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | travel | life_mt_sct_Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622_target6 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [
"too_short_answer",
"weak_target_answer"
] | 0.68 | Taskmaster | dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | prefix_to_next_assistant_text |
What seating class do u prefer? | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=afternoon; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi, I need help in finding a flight to Copenhagen.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hi, how can I help you? On which dates?",
"turn_id": 2
},
{
"speaker": "user",
"text": "From March 26th to March 28th.",
"turn_id": 3
},... | Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | travel | life_mt_sct_Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622_target8 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [] | 0.899 | Taskmaster | dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | prefix_to_next_assistant_text |
I found a flight for you. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=afternoon; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi, I need help in finding a flight to Copenhagen.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hi, how can I help you? On which dates?",
"turn_id": 2
},
{
"speaker": "user",
"text": "From March 26th to March 28th.",
"turn_id": 3
},... | Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | travel | life_mt_sct_Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622_target10 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [
"low_information_answer"
] | 0.749 | Taskmaster | dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | prefix_to_next_assistant_text |
Yes it does have snacks and drinks. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=afternoon; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi, I need help in finding a flight to Copenhagen.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hi, how can I help you? On which dates?",
"turn_id": 2
},
{
"speaker": "user",
"text": "From March 26th to March 28th.",
"turn_id": 3
},... | Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | travel | life_mt_sct_Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622_target12 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [] | 0.899 | Taskmaster | dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | prefix_to_next_assistant_text |
Turkish airlines. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=afternoon; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi, I need help in finding a flight to Copenhagen.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hi, how can I help you? On which dates?",
"turn_id": 2
},
{
"speaker": "user",
"text": "From March 26th to March 28th.",
"turn_id": 3
},... | Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | travel | life_mt_sct_Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622_target14 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [
"fragment_answer",
"low_information_answer",
"too_short_answer",
"weak_target_answer"
] | 0.25 | Taskmaster | dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | prefix_to_next_assistant_text |
I have 19 trains going to your destination. Did you have a time of arrival or when you want to leave? | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday; destination=broxbourne; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints. | [
{
"speaker": "user",
"text": "Hello, I need a train leaving cambridge, please.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 1,414 results for trains leaving cambridge, what is your destination and what day are you looking to travel on?",
"turn_id": 2
},
{
"speaker"... | MultiWOZ_MUL1589.json | travel | life_mt_sct_MultiWOZ_MUL1589.json_target4 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL1589.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | prefix_to_next_assistant_text |
The price is $1651. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=afternoon; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi, I need help in finding a flight to Copenhagen.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hi, how can I help you? On which dates?",
"turn_id": 2
},
{
"speaker": "user",
"text": "From March 26th to March 28th.",
"turn_id": 3
},... | Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | travel | life_mt_sct_Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622_target16 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [
"low_information_answer"
] | 0.749 | Taskmaster | dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | prefix_to_next_assistant_text |
The TR7253 leaves at 20:01 and arrives in Broxbourne at 21:01. Would that be okay? | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday; destination=broxbourne; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints. | [
{
"speaker": "user",
"text": "Hello, I need a train leaving cambridge, please.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 1,414 results for trains leaving cambridge, what is your destination and what day are you looking to travel on?",
"turn_id": 2
},
{
"speaker"... | MultiWOZ_MUL1589.json | travel | life_mt_sct_MultiWOZ_MUL1589.json_target6 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL1589.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | prefix_to_next_assistant_text |
You're all set. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=afternoon; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi, I need help in finding a flight to Copenhagen.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hi, how can I help you? On which dates?",
"turn_id": 2
},
{
"speaker": "user",
"text": "From March 26th to March 28th.",
"turn_id": 3
},... | Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | travel | life_mt_sct_Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622_target18 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [
"fragment_answer",
"low_information_answer",
"too_short_answer",
"weak_target_answer"
] | 0.25 | Taskmaster | dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | prefix_to_next_assistant_text |
60 minutes duration. Anything else today? | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday; destination=broxbourne; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints. | [
{
"speaker": "user",
"text": "Hello, I need a train leaving cambridge, please.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 1,414 results for trains leaving cambridge, what is your destination and what day are you looking to travel on?",
"turn_id": 2
},
{
"speaker"... | MultiWOZ_MUL1589.json | travel | life_mt_sct_MultiWOZ_MUL1589.json_target8 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 0.899 | MultiWOZ | MUL1589.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | prefix_to_next_assistant_text |
Enjoy your flight. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=afternoon; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi, I need help in finding a flight to Copenhagen.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hi, how can I help you? On which dates?",
"turn_id": 2
},
{
"speaker": "user",
"text": "From March 26th to March 28th.",
"turn_id": 3
},... | Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | travel | life_mt_sct_Taskmaster_dlg-01be55cd-1f5a-4b88-a5db-469b61813622_target20 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [
"fragment_answer",
"low_information_answer",
"too_short_answer",
"weak_target_answer"
] | 0.25 | Taskmaster | dlg-01be55cd-1f5a-4b88-a5db-469b61813622 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence"... | prefix_to_next_assistant_text |
Yes, I ordered the express service. | The dialogue is general conversation in shopping retail, with information request intent. The most recent user context is: Well, let me check for you. I am sorry, sir. They mistook your order as a normal one.Actualty it's an express laundry, is that right? The answer is grounded only in the visible dialogue history and... | [
{
"speaker": "user",
"text": "Room service.What can I do for you?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "This is room 2012. Where is my laundry? You promised to send to me this morning.",
"turn_id": 2
},
{
"speaker": "user",
"text": "Well, let me check for you. ... | DailyDialog_test_000048 | customer_service | life_mt_sct_DailyDialog_test_000048_target4 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"shopping_retail"
],
"domain_category"... | [
"low_information_answer",
"weak_final_state"
] | 0.749 | DailyDialog | test_000048 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
There are 33 restaurants available. Is there a specific food type you're looking for? | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday; destination=broxbourne; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints. | [
{
"speaker": "user",
"text": "Hello, I need a train leaving cambridge, please.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 1,414 results for trains leaving cambridge, what is your destination and what day are you looking to travel on?",
"turn_id": 2
},
{
"speaker"... | MultiWOZ_MUL1589.json | travel | life_mt_sct_MultiWOZ_MUL1589.json_target10 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL1589.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | prefix_to_next_assistant_text |
Do you prefer non stop or layover? | The visible history is a movie ticketing task in travel transportation. Known constraints are date_or_duration=afternoon, 3 days; destination=seattle, chicago; origin=seattle; transport_type=flight. The answer should address the booking or reservation step while tracking movie, showtime, and seats. | [
{
"speaker": "user",
"text": "Hi. How can I help you? I'm looking to find a round trip commercial airline flight from Seattle to Chicago. I want to leave on September 13th and depart and return in 3 days, afternoon would be a good time of the day.",
"turn_id": 1
},
{
"speaker": "assistant",
... | Taskmaster_dlg-01c15d77-d5ee-45f7-b149-386d4e04d26a | travel | life_mt_sct_Taskmaster_dlg-01c15d77-d5ee-45f7-b149-386d4e04d26a_target4 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"t... | [] | 0.899 | Taskmaster | dlg-01c15d77-d5ee-45f7-b149-386d4e04d26a | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: date_or_duration, destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: no... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: date_or_duration, destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: no... | prefix_to_next_assistant_text |
That's fine. | The dialogue is customer complaint in shopping retail, with problem solving intent. Key constraints are date_or_time=3 hours. The answer is grounded because it responds to that goal using only those stated details. | [
{
"speaker": "user",
"text": "Room service.What can I do for you?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "This is room 2012. Where is my laundry? You promised to send to me this morning.",
"turn_id": 2
},
{
"speaker": "user",
"text": "Well, let me check for you. ... | DailyDialog_test_000048 | customer_service | life_mt_sct_DailyDialog_test_000048_target6 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"shopping_retail"
],
"domain_category"... | [
"fragment_answer",
"low_information_answer",
"too_short_answer",
"weak_slot_evidence",
"weak_target_answer"
] | 0.15 | DailyDialog | test_000048 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
I have 6 different indian restaurants. Might I suggest the Curry King. It is very highly recommended. | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday; destination=broxbourne; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints. | [
{
"speaker": "user",
"text": "Hello, I need a train leaving cambridge, please.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 1,414 results for trains leaving cambridge, what is your destination and what day are you looking to travel on?",
"turn_id": 2
},
{
"speaker"... | MultiWOZ_MUL1589.json | travel | life_mt_sct_MultiWOZ_MUL1589.json_target12 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL1589.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | prefix_to_next_assistant_text |
Hold. One moment. I found a flight at Delta Airline departs at 5:12 PM, arrives at 11:11 PM. Your return flight departs at 2:10 PM, arrives at 4:30 PM. | The visible history is a movie ticketing task in travel transportation. Known constraints are date_or_duration=afternoon, 3 days; destination=seattle, chicago; origin=seattle; transport_type=flight. The answer should address the customer support step while tracking movie, showtime, and seats. | [
{
"speaker": "user",
"text": "Hi. How can I help you? I'm looking to find a round trip commercial airline flight from Seattle to Chicago. I want to leave on September 13th and depart and return in 3 days, afternoon would be a good time of the day.",
"turn_id": 1
},
{
"speaker": "assistant",
... | Taskmaster_dlg-01c15d77-d5ee-45f7-b149-386d4e04d26a | travel | life_mt_sct_Taskmaster_dlg-01c15d77-d5ee-45f7-b149-386d4e04d26a_target6 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"t... | [] | 1 | Taskmaster | dlg-01c15d77-d5ee-45f7-b149-386d4e04d26a | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: date_or_duration, destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: no... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: date_or_duration, destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: no... | prefix_to_next_assistant_text |
Sure. And I'd like you to get some cold medicine for me when you go to the doctor's. | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "I'd like you to do me a favor.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "What is it?",
"turn_id": 2
},
{
"speaker": "user",
"text": "Can you mail this at the post office for me? I have to go to the doctor for an appointment and I don't... | DailyDialog_test_000049 | health_routine | life_mt_sct_DailyDialog_test_000049_target4 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"education_career"
],
"domain_category... | [
"medical_or_health_context",
"sensitive_content"
] | 0.749 | DailyDialog | test_000049 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
The address is 5 Jordans Yard Bridge Street City Centre cb21ug. The phone number is [phone removed]. Can I help you with anything else today? | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday; destination=broxbourne; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints. | [
{
"speaker": "user",
"text": "Hello, I need a train leaving cambridge, please.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 1,414 results for trains leaving cambridge, what is your destination and what day are you looking to travel on?",
"turn_id": 2
},
{
"speaker"... | MultiWOZ_MUL1589.json | travel | life_mt_sct_MultiWOZ_MUL1589.json_target14 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL1589.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | prefix_to_next_assistant_text |
Great. Have a wonderful time! Thanks for using Cambridge TownInfo Centre. | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday; destination=broxbourne; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints. | [
{
"speaker": "user",
"text": "Hello, I need a train leaving cambridge, please.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 1,414 results for trains leaving cambridge, what is your destination and what day are you looking to travel on?",
"turn_id": 2
},
{
"speaker"... | MultiWOZ_MUL1589.json | travel | life_mt_sct_MultiWOZ_MUL1589.json_target16 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL1589.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": ... | prefix_to_next_assistant_text |
All right. But we demand the draft be accepted by a bank acceptable to us. | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "I'll be willing to come and talk about the financing of our imports.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "It can be solved by drawing a draft on us at 90 days sight.",
"turn_id": 2
},
{
"speaker": "user",
"text": "What about a dra... | DailyDialog_test_000051 | personal_finance | life_mt_sct_DailyDialog_test_000051_target4 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"finance_business"
],
"domain_category... | [
"financial_context",
"sensitive_content"
] | 0.749 | DailyDialog | test_000051 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
Then we will be in a position to arrange for a loan from our bank. You know we exports would like to have our investments returned as early as possible. | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "I'll be willing to come and talk about the financing of our imports.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "It can be solved by drawing a draft on us at 90 days sight.",
"turn_id": 2
},
{
"speaker": "user",
"text": "What about a dra... | DailyDialog_test_000051 | personal_finance | life_mt_sct_DailyDialog_test_000051_target6 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"finance_business"
],
"domain_category... | [
"financial_context",
"fragment_answer",
"sensitive_content"
] | 0.499 | DailyDialog | test_000051 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
So do I. | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "I'll be willing to come and talk about the financing of our imports.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "It can be solved by drawing a draft on us at 90 days sight.",
"turn_id": 2
},
{
"speaker": "user",
"text": "What about a dra... | DailyDialog_test_000051 | personal_finance | life_mt_sct_DailyDialog_test_000051_target8 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"finance_business"
],
"domain_category... | [
"financial_context",
"fragment_answer",
"low_information_answer",
"sensitive_content",
"too_short_answer",
"weak_target_answer"
] | 0.17 | DailyDialog | test_000051 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
Tell me how she looks. | The dialogue is school-life in education career, with information request intent. The most recent user context is: I think that she is very pretty. The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "There's a new girl in school, have you seen her yet?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I haven't seen her yet.",
"turn_id": 2
},
{
"speaker": "user",
"text": "I think that she is very pretty.",
"turn_id": 3
}
] | DailyDialog_test_000052 | other_life | life_mt_sct_DailyDialog_test_000052_target4 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"education_career"... | [
"low_information_answer",
"weak_final_state"
] | 0.749 | DailyDialog | test_000052 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
What height is she? | The dialogue is school-life in education career, with information request intent. The most recent user context is: She's kind of short. The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "There's a new girl in school, have you seen her yet?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I haven't seen her yet.",
"turn_id": 2
},
{
"speaker": "user",
"text": "I think that she is very pretty.",
"turn_id": 3
},
{
"sp... | DailyDialog_test_000052 | other_life | life_mt_sct_DailyDialog_test_000052_target6 | true | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"education_career"... | [
"weak_final_state"
] | 0.899 | DailyDialog | test_000052 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
That's nice, but tell me what she looks like. | The dialogue is school-life in education career, with information request intent. The most recent user context is: She's probably about five feet. The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "There's a new girl in school, have you seen her yet?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I haven't seen her yet.",
"turn_id": 2
},
{
"speaker": "user",
"text": "I think that she is very pretty.",
"turn_id": 3
},
{
"sp... | DailyDialog_test_000052 | other_life | life_mt_sct_DailyDialog_test_000052_target8 | true | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"education_career"... | [
"weak_final_state"
] | 0.899 | DailyDialog | test_000052 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
We have ten choices for you with departures every two hours beginning at 7:27. What is your preference for a departure time? | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday; destination=london, london liverpool; origin=cambridge; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints. | [
{
"speaker": "user",
"text": "I'd like a train that is departing from Cambridge and is going to London Liverpool street.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "There are 70 trains that meet your needs. Would you like to narrow it down by day and/or time of travel?",
"turn_i... | MultiWOZ_MUL0398.json | travel | life_mt_sct_MultiWOZ_MUL0398.json_target4 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL0398.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | prefix_to_next_assistant_text |
I think I might've bumped into her before. | The dialogue is school-life in education career, with planning coordination intent. The most recent user context is: The first thing I noticed was her beautiful brown eyes. The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "There's a new girl in school, have you seen her yet?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I haven't seen her yet.",
"turn_id": 2
},
{
"speaker": "user",
"text": "I think that she is very pretty.",
"turn_id": 3
},
{
"sp... | DailyDialog_test_000052 | other_life | life_mt_sct_DailyDialog_test_000052_target10 | true | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"education_career"... | [
"weak_final_state"
] | 0.899 | DailyDialog | test_000052 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
Booking was successful, the total fee is 83 GBP payable at the station. Reference number is: VNHMJU4N. | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday, friday, morning; destination=london, london liverpool; origin=cambridge; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time ... | [
{
"speaker": "user",
"text": "I'd like a train that is departing from Cambridge and is going to London Liverpool street.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "There are 70 trains that meet your needs. Would you like to narrow it down by day and/or time of travel?",
"turn_i... | MultiWOZ_MUL0398.json | travel | life_mt_sct_MultiWOZ_MUL0398.json_target6 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL0398.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | prefix_to_next_assistant_text |
I believe so. | The dialogue is school-life in education career, with information request intent. The most recent user context is: Are you telling me that you've seen her before? The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "There's a new girl in school, have you seen her yet?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I haven't seen her yet.",
"turn_id": 2
},
{
"speaker": "user",
"text": "I think that she is very pretty.",
"turn_id": 3
},
{
"sp... | DailyDialog_test_000052 | other_life | life_mt_sct_DailyDialog_test_000052_target12 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"education_career"... | [
"fragment_answer",
"low_information_answer",
"too_short_answer",
"weak_final_state",
"weak_target_answer"
] | 0.22 | DailyDialog | test_000052 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
That is correct. Can I help with anything else? | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday, friday, morning; destination=london, london liverpool; origin=cambridge; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time ... | [
{
"speaker": "user",
"text": "I'd like a train that is departing from Cambridge and is going to London Liverpool street.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "There are 70 trains that meet your needs. Would you like to narrow it down by day and/or time of travel?",
"turn_i... | MultiWOZ_MUL0398.json | travel | life_mt_sct_MultiWOZ_MUL0398.json_target8 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 0.899 | MultiWOZ | MUL0398.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | prefix_to_next_assistant_text |
Can I return the car in San Francisco? | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "Take a seat inside and see what you think.So you will take the Porsche then, sir?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Yes, and I want to buy the insurance too. I think it's necessary.",
"turn_id": 2
},
{
"speaker": "user",
"text"... | DailyDialog_test_000053 | shopping | life_mt_sct_DailyDialog_test_000053_target4 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"shopping_retail"
... | [
"financial_context",
"sensitive_content"
] | 0.749 | DailyDialog | test_000053 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
Yes, I've got five restaurants, four center and one in the west that serve British food. Do you have a preference in location? | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday, friday, morning; destination=london, london liverpool; origin=cambridge; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time ... | [
{
"speaker": "user",
"text": "I'd like a train that is departing from Cambridge and is going to London Liverpool street.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "There are 70 trains that meet your needs. Would you like to narrow it down by day and/or time of travel?",
"turn_i... | MultiWOZ_MUL0398.json | travel | life_mt_sct_MultiWOZ_MUL0398.json_target10 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL0398.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | prefix_to_next_assistant_text |
Really? I heard in America you can return rental cars in different cities. | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "Take a seat inside and see what you think.So you will take the Porsche then, sir?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Yes, and I want to buy the insurance too. I think it's necessary.",
"turn_id": 2
},
{
"speaker": "user",
"text"... | DailyDialog_test_000053 | shopping | life_mt_sct_DailyDialog_test_000053_target6 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"education_career"... | [
"financial_context",
"sensitive_content"
] | 0.749 | DailyDialog | test_000053 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
I like the oak bistro, it is located at 6 Lensfield Road and is in town centre. Would you like me to make a reservation for you? | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday, friday, morning; destination=london, london liverpool; origin=cambridge; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time ... | [
{
"speaker": "user",
"text": "I'd like a train that is departing from Cambridge and is going to London Liverpool street.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "There are 70 trains that meet your needs. Would you like to narrow it down by day and/or time of travel?",
"turn_i... | MultiWOZ_MUL0398.json | travel | life_mt_sct_MultiWOZ_MUL0398.json_target12 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL0398.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | prefix_to_next_assistant_text |
Well, I guess I will have to drive back down then. Hmm. I didn't think of that. | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "Take a seat inside and see what you think.So you will take the Porsche then, sir?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Yes, and I want to buy the insurance too. I think it's necessary.",
"turn_id": 2
},
{
"speaker": "user",
"text"... | DailyDialog_test_000053 | shopping | life_mt_sct_DailyDialog_test_000053_target8 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"education_career"... | [
"financial_context",
"premature_respond",
"sensitive_content"
] | 0.749 | DailyDialog | test_000053 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
Can you please verify the date and time you would like the booking? | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday, friday, morning; destination=london, london liverpool; origin=cambridge; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time ... | [
{
"speaker": "user",
"text": "I'd like a train that is departing from Cambridge and is going to London Liverpool street.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "There are 70 trains that meet your needs. Would you like to narrow it down by day and/or time of travel?",
"turn_i... | MultiWOZ_MUL0398.json | travel | life_mt_sct_MultiWOZ_MUL0398.json_target14 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL0398.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | prefix_to_next_assistant_text |
Yes. It will be fun. Driving back down the coast. My girlfriend will like it. | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "Take a seat inside and see what you think.So you will take the Porsche then, sir?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Yes, and I want to buy the insurance too. I think it's necessary.",
"turn_id": 2
},
{
"speaker": "user",
"text"... | DailyDialog_test_000053 | shopping | life_mt_sct_DailyDialog_test_000053_target10 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"education_career"... | [
"financial_context",
"premature_respond",
"sensitive_content"
] | 0.749 | DailyDialog | test_000053 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
All booked! Your reference number is RI66QTET. | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday, friday, morning; destination=london, london liverpool; origin=cambridge; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time ... | [
{
"speaker": "user",
"text": "I'd like a train that is departing from Cambridge and is going to London Liverpool street.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "There are 70 trains that meet your needs. Would you like to narrow it down by day and/or time of travel?",
"turn_i... | MultiWOZ_MUL0398.json | travel | life_mt_sct_MultiWOZ_MUL0398.json_target16 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 0.899 | MultiWOZ | MUL0398.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | prefix_to_next_assistant_text |
Where are the keys? | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "Take a seat inside and see what you think.So you will take the Porsche then, sir?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Yes, and I want to buy the insurance too. I think it's necessary.",
"turn_id": 2
},
{
"speaker": "user",
"text"... | DailyDialog_test_000053 | shopping | life_mt_sct_DailyDialog_test_000053_target12 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"education_career"... | [
"financial_context",
"sensitive_content"
] | 0.749 | DailyDialog | test_000053 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
Thank you goodbye. | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday, friday, morning; destination=london, london liverpool; origin=cambridge; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time ... | [
{
"speaker": "user",
"text": "I'd like a train that is departing from Cambridge and is going to London Liverpool street.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "There are 70 trains that meet your needs. Would you like to narrow it down by day and/or time of travel?",
"turn_i... | MultiWOZ_MUL0398.json | travel | life_mt_sct_MultiWOZ_MUL0398.json_target18 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [
"fragment_answer",
"low_information_answer",
"too_short_answer",
"weak_target_answer"
] | 0.25 | MultiWOZ | MUL0398.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | prefix_to_next_assistant_text |
Do you have a specific class you would like to fly? | The visible history is a flight booking task in travel transportation. Known constraints are destination=london; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "I would like help finding a flight to London.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Okay, what dates will you be traveling to London?",
"turn_id": 2
},
{
"speaker": "user",
"text": "August 1st through September 27th.",
"turn_id... | Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | travel | life_mt_sct_Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80_target4 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"duplicate_turn",
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "... | [] | 1 | Taskmaster | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
Look at the crystal clear fridge. You can see so many kinds of seafood in it. They all look very fresh and delicious. | The dialogue is restaurant search in food dining, with planning coordination intent. The most recent user context is: Sound great. Let's go! The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "Look at the show on TV. I am watching a food show at a very famous seafood restaurant. I really want to eat at that restaurant. I am a seafood lover.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Speaking of seafood, my mouth is watering. Let's go to the ... | DailyDialog_test_000055 | shopping | life_mt_sct_DailyDialog_test_000055_target4 | true | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dining"
],... | [
"premature_respond",
"weak_final_state"
] | 0.92 | DailyDialog | test_000055 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
Thank you for contacting Cambridge Towninfo Centre | The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=thursday, friday, morning; destination=london, london liverpool; origin=cambridge; transport_type=train. The answer should address the confirmation clarification step while tracking departure, destination, and t... | [
{
"speaker": "user",
"text": "I'd like a train that is departing from Cambridge and is going to London Liverpool street.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "There are 70 trains that meet your needs. Would you like to narrow it down by day and/or time of travel?",
"turn_i... | MultiWOZ_MUL0398.json | travel | life_mt_sct_MultiWOZ_MUL0398.json_target20 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 0.899 | MultiWOZ | MUL0398.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning... | prefix_to_next_assistant_text |
Do you require any amenities on this light? | The visible history is a flight booking task in travel transportation. Known constraints are destination=london; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "I would like help finding a flight to London.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Okay, what dates will you be traveling to London?",
"turn_id": 2
},
{
"speaker": "user",
"text": "August 1st through September 27th.",
"turn_id... | Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | travel | life_mt_sct_Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80_target6 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"duplicate_turn",
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "... | [] | 0.899 | Taskmaster | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
You sound like a seafood expert. I would like to have some stir-fried squids and steamed shrimps. | The dialogue is restaurant search in food dining, with planning coordination intent. The most recent user context is: True. I would like to have some salmon sashimi and a roast salmon head. The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "Look at the show on TV. I am watching a food show at a very famous seafood restaurant. I really want to eat at that restaurant. I am a seafood lover.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Speaking of seafood, my mouth is watering. Let's go to the ... | DailyDialog_test_000055 | shopping | life_mt_sct_DailyDialog_test_000055_target6 | true | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dining"
],... | [
"premature_respond",
"weak_final_state"
] | 0.92 | DailyDialog | test_000055 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
What is your destination? | The visible history is a taxi booking task in travel transportation. Known constraints are meal_type=breakfast. The answer should address the booking or reservation step while tracking pickup, destination, and time. | [
{
"speaker": "user",
"text": "I'd like to be picked up today from alexander bed and breakfast",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Absolutely! When would you like to arrive?",
"turn_id": 2
},
{
"speaker": "user",
"text": "I would like for the taxi to be here a... | MultiWOZ_SNG01735.json | cooking | life_mt_sct_MultiWOZ_SNG01735.json_target4 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"travel_transportation"
],
"do... | [] | 0.899 | MultiWOZ | SNG01735.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: meal_type; changed slots: none; removed slots: none; new missing slots: ingredients; resolved missing slots: none.",
"reasoning_confidence": "high... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: meal_type; changed slots: none; removed slots: none; new missing slots: ingredients; resolved missing slots: none.",
"reasoning_confidence": "high... | prefix_to_next_assistant_text |
What time would you like to leave LAX? | The visible history is a flight booking task in travel transportation. Known constraints are destination=london; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "I would like help finding a flight to London.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Okay, what dates will you be traveling to London?",
"turn_id": 2
},
{
"speaker": "user",
"text": "August 1st through September 27th.",
"turn_id... | Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | travel | life_mt_sct_Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80_target8 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"duplicate_turn",
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "... | [] | 0.899 | Taskmaster | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
Let's go into the restaurant and find a table to order some food. | The dialogue is restaurant search in shopping retail, with booking or reservation intent. The most recent user context is: You are not too bad as well. I also want to have a steamed lobster. It is really taste like heaven. The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "Look at the show on TV. I am watching a food show at a very famous seafood restaurant. I really want to eat at that restaurant. I am a seafood lover.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Speaking of seafood, my mouth is watering. Let's go to the ... | DailyDialog_test_000055 | shopping | life_mt_sct_DailyDialog_test_000055_target8 | true | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"shopping_retail"
... | [
"premature_respond",
"weak_final_state"
] | 0.92 | DailyDialog | test_000055 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
I have booked a blue volkswagen and contact number [phone removed]. | The visible history is a taxi booking task in travel transportation. Known constraints are ingredients=rice; meal_type=breakfast. The answer should address the booking or reservation step while tracking pickup, destination, and time. | [
{
"speaker": "user",
"text": "I'd like to be picked up today from alexander bed and breakfast",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Absolutely! When would you like to arrive?",
"turn_id": 2
},
{
"speaker": "user",
"text": "I would like for the taxi to be here a... | MultiWOZ_SNG01735.json | cooking | life_mt_sct_MultiWOZ_SNG01735.json_target6 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"travel_transportation"
],
"do... | [
"answer_not_grounded"
] | 0.499 | MultiWOZ | SNG01735.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: meal_type; changed slots: none; removed slots: none; new missing slots: ingredients; resolved missing slots: none.",
"reasoning_confidence": "high... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: meal_type; changed slots: none; removed slots: none; new missing slots: ingredients; resolved missing slots: none.",
"reasoning_confidence": "high... | prefix_to_next_assistant_text |
Let me check available flights. One second. I found a flight at 3:45 p.m. is that okay? | The visible history is a flight booking task in travel transportation. Known constraints are destination=london; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "I would like help finding a flight to London.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Okay, what dates will you be traveling to London?",
"turn_id": 2
},
{
"speaker": "user",
"text": "August 1st through September 27th.",
"turn_id... | Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | travel | life_mt_sct_Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80_target10 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"duplicate_turn",
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "... | [] | 1 | Taskmaster | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
OK. I will wait for you inside the restaurant | The dialogue is restaurant search in shopping retail, with information request intent. Key constraints are item_type=in front of the seafood fridge. The answer is grounded because it responds to that goal using only those stated details. | [
{
"speaker": "user",
"text": "Look at the show on TV. I am watching a food show at a very famous seafood restaurant. I really want to eat at that restaurant. I am a seafood lover.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Speaking of seafood, my mouth is watering. Let's go to the ... | DailyDialog_test_000055 | shopping | life_mt_sct_DailyDialog_test_000055_target10 | true | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"shopping_retail"
... | [] | 0.899 | DailyDialog | test_000055 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
Perfect. Have a great day! | The visible history is a taxi booking task in travel transportation. Known constraints are ingredients=rice; meal_type=breakfast. The answer should address the booking or reservation step while tracking pickup, destination, and time. | [
{
"speaker": "user",
"text": "I'd like to be picked up today from alexander bed and breakfast",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Absolutely! When would you like to arrive?",
"turn_id": 2
},
{
"speaker": "user",
"text": "I would like for the taxi to be here a... | MultiWOZ_SNG01735.json | cooking | life_mt_sct_MultiWOZ_SNG01735.json_target8 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"travel_transportation"
],
"do... | [
"low_information_answer"
] | 0.749 | MultiWOZ | SNG01735.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: meal_type; changed slots: none; removed slots: none; new missing slots: ingredients; resolved missing slots: none.",
"reasoning_confidence": "high... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: meal_type; changed slots: none; removed slots: none; new missing slots: ingredients; resolved missing slots: none.",
"reasoning_confidence": "high... | prefix_to_next_assistant_text |
What time would you like to a return flight on September 27th? | The visible history is a flight booking task in travel transportation. Known constraints are destination=london; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "I would like help finding a flight to London.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Okay, what dates will you be traveling to London?",
"turn_id": 2
},
{
"speaker": "user",
"text": "August 1st through September 27th.",
"turn_id... | Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | travel | life_mt_sct_Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80_target12 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"duplicate_turn",
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "... | [] | 1 | Taskmaster | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
About how much will it cost? | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "Where do you want to go?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I'm going to the hospital.",
"turn_id": 2
},
{
"speaker": "user",
"text": "Get in. I'll take you.",
"turn_id": 3
}
] | DailyDialog_test_000056 | schedule | life_mt_sct_DailyDialog_test_000056_target4 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"health_we... | [
"medical_or_health_context",
"sensitive_content"
] | 0.749 | DailyDialog | test_000056 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
You could try Castle Galleries. Their phone number is [phone removed], and admission is free. Can I help you with anything else? | The visible history is a attraction search task in travel transportation. It should track the visible goal, constraints, and next step. The answer should ask, confirm, or respond only to details present in the visible history. | [
{
"speaker": "user",
"text": "I will be in the centre area and I need a place to go.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "What do you like? Museums and architecture, nightclubs and theatres?",
"turn_id": 2
},
{
"speaker": "user",
"text": "A museum would be gre... | MultiWOZ_PMUL4290.json | travel | life_mt_sct_MultiWOZ_PMUL4290.json_target4 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [
"weak_final_state"
] | 0.97 | MultiWOZ | PMUL4290.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
I found a flight departing at 10:10 a.m. is that okay? | The visible history is a flight booking task in travel transportation. Known constraints are destination=london; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "I would like help finding a flight to London.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Okay, what dates will you be traveling to London?",
"turn_id": 2
},
{
"speaker": "user",
"text": "August 1st through September 27th.",
"turn_id... | Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | travel | life_mt_sct_Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80_target14 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"duplicate_turn",
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "... | [] | 1 | Taskmaster | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
By the way, what's the time? | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "Where do you want to go?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I'm going to the hospital.",
"turn_id": 2
},
{
"speaker": "user",
"text": "Get in. I'll take you.",
"turn_id": 3
},
{
"speaker": "assistant",
"text": "A... | DailyDialog_test_000056 | schedule | life_mt_sct_DailyDialog_test_000056_target6 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"health_we... | [
"medical_or_health_context",
"sensitive_content"
] | 0.749 | DailyDialog | test_000056 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
Do you need a reservation? | The visible history is a restaurant booking task in travel transportation. It should track cuisine, area, price, time, and party size. The answer should ask, confirm, or respond only to details present in the visible history. | [
{
"speaker": "user",
"text": "I will be in the centre area and I need a place to go.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "What do you like? Museums and architecture, nightclubs and theatres?",
"turn_id": 2
},
{
"speaker": "user",
"text": "A museum would be gre... | MultiWOZ_PMUL4290.json | travel | life_mt_sct_MultiWOZ_PMUL4290.json_target6 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [
"weak_final_state"
] | 0.899 | MultiWOZ | PMUL4290.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
Would you like to know the pricing for this flight? | The visible history is a flight booking task in travel transportation. Known constraints are destination=london; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "I would like help finding a flight to London.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Okay, what dates will you be traveling to London?",
"turn_id": 2
},
{
"speaker": "user",
"text": "August 1st through September 27th.",
"turn_id... | Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | travel | life_mt_sct_Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80_target16 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"duplicate_turn",
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "... | [] | 1 | Taskmaster | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
It's a quarter to 12. Could you please drive a little faster? | This sample contains safety-sensitive context. The reasoning should stay conservative, avoid amplifying sensitive details, and only support a safe, bounded assistant response. | [
{
"speaker": "user",
"text": "Where do you want to go?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I'm going to the hospital.",
"turn_id": 2
},
{
"speaker": "user",
"text": "Get in. I'll take you.",
"turn_id": 3
},
{
"speaker": "assistant",
"text": "A... | DailyDialog_test_000056 | schedule | life_mt_sct_DailyDialog_test_000056_target8 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"health_we... | [
"medical_or_health_context",
"sensitive_content"
] | 0.749 | DailyDialog | test_000056 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the visible dialogue prefix is used. The turn is handled conservatively because the context is safety-sensitive, so the state keeps prior safe context and waits for a safe next response.",
"reasoning_confidence": "medium",
"reasoning_type": "safet... | prefix_to_next_assistant_text |
Charlie Chan is a cheap Chinese restaurant in the center of town at Regent Street City Centre. Can I provide any additional information to you? | The visible history is a restaurant booking task in travel transportation. It should track cuisine, area, price, time, and party size. The answer should ask, confirm, or respond only to details present in the visible history. | [
{
"speaker": "user",
"text": "I will be in the centre area and I need a place to go.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "What do you like? Museums and architecture, nightclubs and theatres?",
"turn_id": 2
},
{
"speaker": "user",
"text": "A museum would be gre... | MultiWOZ_PMUL4290.json | travel | life_mt_sct_MultiWOZ_PMUL4290.json_target8 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [
"weak_final_state"
] | 0.97 | MultiWOZ | PMUL4290.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
Pricing for this flight is $3,707. | The visible history is a flight booking task in travel transportation. Known constraints are destination=london; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "I would like help finding a flight to London.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Okay, what dates will you be traveling to London?",
"turn_id": 2
},
{
"speaker": "user",
"text": "August 1st through September 27th.",
"turn_id... | Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | travel | life_mt_sct_Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80_target18 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"duplicate_turn",
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "... | [] | 0.899 | Taskmaster | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
Jingdezhen? Isn't it called ' the capital of porcelain '? | The dialogue is uncertain context in general daily life, with information request intent. Key constraints are item_type=tea; preference=tea. The answer is grounded because it responds to that goal using only those stated details. | [
{
"speaker": "user",
"text": "You're made a good choice. This china tea set is unusual.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Where was it from?",
"turn_id": 2
},
{
"speaker": "user",
"text": "It was made in Jingdezhen.",
"turn_id": 3
}
] | DailyDialog_test_000057 | shopping | life_mt_sct_DailyDialog_test_000057_target4 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"general_daily_life"
],
"domain_catego... | [
"low_taxonomy_confidence"
] | 0.749 | DailyDialog | test_000057 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type, preference; changed slots: none; removed slots: none.",
"reasoning_confidence... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type, preference; changed slots: none; removed slots: none.",
"reasoning_confidence... | prefix_to_next_assistant_text |
Of course. The postcode is cb21db. Can I help you with anything else today? | The visible history is a restaurant booking task in travel transportation. It should track cuisine, area, price, time, and party size. The answer should ask, confirm, or respond only to details present in the visible history. | [
{
"speaker": "user",
"text": "I will be in the centre area and I need a place to go.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "What do you like? Museums and architecture, nightclubs and theatres?",
"turn_id": 2
},
{
"speaker": "user",
"text": "A museum would be gre... | MultiWOZ_PMUL4290.json | travel | life_mt_sct_MultiWOZ_PMUL4290.json_target10 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [
"weak_final_state"
] | 0.97 | MultiWOZ | PMUL4290.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
Would you like to book multi outbound and return flight? | The visible history is a flight booking task in travel transportation. Known constraints are destination=london; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "I would like help finding a flight to London.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Okay, what dates will you be traveling to London?",
"turn_id": 2
},
{
"speaker": "user",
"text": "August 1st through September 27th.",
"turn_id... | Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | travel | life_mt_sct_Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80_target20 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"duplicate_turn",
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "... | [] | 1 | Taskmaster | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
This is the very thing I've been dreaming of. | The dialogue is uncertain context in general daily life, with confirmation clarification intent. Key constraints are item_type=tea; preference=tea. The answer is grounded because it responds to that goal using only those stated details. | [
{
"speaker": "user",
"text": "You're made a good choice. This china tea set is unusual.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Where was it from?",
"turn_id": 2
},
{
"speaker": "user",
"text": "It was made in Jingdezhen.",
"turn_id": 3
},
{
"speaker"... | DailyDialog_test_000057 | shopping | life_mt_sct_DailyDialog_test_000057_target6 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"general_daily_life"
],
"domain_catego... | [
"answer_not_grounded",
"low_taxonomy_confidence"
] | 0.499 | DailyDialog | test_000057 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type, preference; changed slots: none; removed slots: none.",
"reasoning_confidence... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type, preference; changed slots: none; removed slots: none.",
"reasoning_confidence... | prefix_to_next_assistant_text |
Okay! What hotel are you staying at? | The visible history is a taxi booking task in travel transportation. Known constraints are hotel_preference=hotel; transport_type=taxi. The answer should address the booking or reservation step while tracking pickup, destination, and time. | [
{
"speaker": "user",
"text": "I will be in the centre area and I need a place to go.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "What do you like? Museums and architecture, nightclubs and theatres?",
"turn_id": 2
},
{
"speaker": "user",
"text": "A museum would be gre... | MultiWOZ_PMUL4290.json | travel | life_mt_sct_MultiWOZ_PMUL4290.json_target12 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 0.899 | MultiWOZ | PMUL4290.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
Is there anything else I can help you with? | The visible history is a flight booking task in travel transportation. Known constraints are destination=london; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "I would like help finding a flight to London.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Okay, what dates will you be traveling to London?",
"turn_id": 2
},
{
"speaker": "user",
"text": "August 1st through September 27th.",
"turn_id... | Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | travel | life_mt_sct_Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80_target22 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"duplicate_turn",
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "... | [] | 0.899 | Taskmaster | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
It must be most precious. | The dialogue is uncertain context in general daily life, with recommendation intent. Key constraints are item_type=tea; preference=tea. The answer is grounded because it responds to that goal using only those stated details. | [
{
"speaker": "user",
"text": "You're made a good choice. This china tea set is unusual.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Where was it from?",
"turn_id": 2
},
{
"speaker": "user",
"text": "It was made in Jingdezhen.",
"turn_id": 3
},
{
"speaker"... | DailyDialog_test_000057 | shopping | life_mt_sct_DailyDialog_test_000057_target8 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"general_daily_life"
],
"domain_catego... | [
"low_information_answer",
"low_taxonomy_confidence"
] | 0.749 | DailyDialog | test_000057 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type, preference; changed slots: none; removed slots: none.",
"reasoning_confidence... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: item_type, preference; changed slots: none; removed slots: none.",
"reasoning_confidence... | prefix_to_next_assistant_text |
Okay, thank you. | The visible history is a taxi booking task in travel transportation. Known constraints are hotel_preference=hotel; transport_type=taxi. The answer should address the booking or reservation step while tracking pickup, destination, and time. | [
{
"speaker": "user",
"text": "I will be in the centre area and I need a place to go.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "What do you like? Museums and architecture, nightclubs and theatres?",
"turn_id": 2
},
{
"speaker": "user",
"text": "A museum would be gre... | MultiWOZ_PMUL4290.json | travel | life_mt_sct_MultiWOZ_PMUL4290.json_target14 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [
"fragment_answer",
"low_information_answer",
"too_short_answer",
"weak_target_answer"
] | 0.25 | MultiWOZ | PMUL4290.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
Okay, enjoy your trip. | The visible history is a flight booking task in travel transportation. Known constraints are destination=london; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "I would like help finding a flight to London.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Okay, what dates will you be traveling to London?",
"turn_id": 2
},
{
"speaker": "user",
"text": "August 1st through September 27th.",
"turn_id... | Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | travel | life_mt_sct_Taskmaster_dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80_target24 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"duplicate_turn",
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "... | [
"low_information_answer"
] | 0.749 | Taskmaster | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoning_confi... | prefix_to_next_assistant_text |
Yes? | The dialogue is shopping assistance in shopping retail, with information request intent. The most recent user context is: Oh, Would you do me a favor? The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "Hello, Miao Li, Where are you going?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hello, I am going to the store to buy some fruit.",
"turn_id": 2
},
{
"speaker": "user",
"text": "Oh, Would you do me a favor?",
"turn_id": 3
}
] | DailyDialog_test_000058 | shopping | life_mt_sct_DailyDialog_test_000058_target4 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"shopping_... | [
"too_short_answer",
"weak_final_state",
"weak_target_answer"
] | 0.65 | DailyDialog | test_000058 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
Booking completed! Booked car type: blue lexus Contact number: [phone removed] | The visible history is a taxi booking task in travel transportation. Known constraints are hotel_preference=hotel; transport_type=taxi. The answer should address the booking or reservation step while tracking pickup, destination, and time. | [
{
"speaker": "user",
"text": "I will be in the centre area and I need a place to go.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "What do you like? Museums and architecture, nightclubs and theatres?",
"turn_id": 2
},
{
"speaker": "user",
"text": "A museum would be gre... | MultiWOZ_PMUL4290.json | travel | life_mt_sct_MultiWOZ_PMUL4290.json_target16 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [
"premature_respond"
] | 0.95 | MultiWOZ | PMUL4290.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
Okay and what class would you prefer to fly in? | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=5 days; destination=chicago, los angeles; origin=los angeles; transport_type=flight. The answer should address the customer support step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi Assistant. I need to find a round-trip, commercial, airline flight from Los Angeles to Chicago. Can you help me?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Sure. Just a moment, please. And what are your travel dates?",
"turn_id": 2
},
{
... | Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | travel | life_mt_sct_Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2_target4 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [] | 1 | Taskmaster | dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | prefix_to_next_assistant_text |
Sure. Do you want it to be registered? | The dialogue is shopping assistance in shopping retail, with information request intent. The most recent user context is: Please mail this letter for me on your way to the store. The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "Hello, Miao Li, Where are you going?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hello, I am going to the store to buy some fruit.",
"turn_id": 2
},
{
"speaker": "user",
"text": "Oh, Would you do me a favor?",
"turn_id": 3
},
{
... | DailyDialog_test_000058 | shopping | life_mt_sct_DailyDialog_test_000058_target6 | true | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"shopping_... | [
"weak_final_state"
] | 0.899 | DailyDialog | test_000058 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
You're welcome have a great day | The visible history is a taxi booking task in travel transportation. Known constraints are hotel_preference=hotel; transport_type=taxi. The answer should address the booking or reservation step while tracking pickup, destination, and time. | [
{
"speaker": "user",
"text": "I will be in the centre area and I need a place to go.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "What do you like? Museums and architecture, nightclubs and theatres?",
"turn_id": 2
},
{
"speaker": "user",
"text": "A museum would be gre... | MultiWOZ_PMUL4290.json | travel | life_mt_sct_MultiWOZ_PMUL4290.json_target18 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [
"low_information_answer"
] | 0.749 | MultiWOZ | PMUL4290.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
Sure, there is a nonstop flight leaving Los Angeles at 4:35 p.m. and arriving in Chicago at 10:43 p.m. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=5 days; destination=chicago, los angeles; origin=los angeles; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi Assistant. I need to find a round-trip, commercial, airline flight from Los Angeles to Chicago. Can you help me?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Sure. Just a moment, please. And what are your travel dates?",
"turn_id": 2
},
{
... | Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | travel | life_mt_sct_Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2_target6 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [] | 1 | Taskmaster | dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | prefix_to_next_assistant_text |
Yes, I will be glad to mail your letter. | The dialogue is shopping assistance in shopping retail, with problem solving intent. The most recent user context is: Yes, I think so. There are some pictures in it. It would be a great pity if they were lost. The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "Hello, Miao Li, Where are you going?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hello, I am going to the store to buy some fruit.",
"turn_id": 2
},
{
"speaker": "user",
"text": "Oh, Would you do me a favor?",
"turn_id": 3
},
{
... | DailyDialog_test_000058 | shopping | life_mt_sct_DailyDialog_test_000058_target8 | true | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"shopping_... | [
"premature_respond",
"weak_final_state"
] | 0.899 | DailyDialog | test_000058 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
Alright, I've booked a table for 4 at 17:30 on Thursday. Your reference number is VLG5U01Z. | The visible history is a restaurant booking task in food dining. Known constraints are time_constraint=thursday. The answer should address the booking or reservation step while tracking cuisine, area, price, time, and party size. | [
{
"speaker": "user",
"text": "I am looking for a particular restaurant called city stop restaurant.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "It is an expensive european restaurant in the north part of town. Would you like to make a booking?",
"turn_id": 2
},
{
"speake... | MultiWOZ_SNG0551.json | cooking | life_mt_sct_MultiWOZ_SNG0551.json_target4 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dining"
],
"domain_categ... | [
"premature_respond"
] | 0.95 | MultiWOZ | SNG0551.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: ingredients; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: ingredients; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
Okay, let me check return flights for you. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=5 days; destination=chicago, los angeles; origin=los angeles; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi Assistant. I need to find a round-trip, commercial, airline flight from Los Angeles to Chicago. Can you help me?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Sure. Just a moment, please. And what are your travel dates?",
"turn_id": 2
},
{
... | Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | travel | life_mt_sct_Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2_target8 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [] | 0.899 | Taskmaster | dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | prefix_to_next_assistant_text |
you are welcome. | The dialogue is shopping assistance in shopping retail, with small talk intent. The most recent user context is: Thanks. The answer is grounded only in the visible dialogue history and should stay conservative. | [
{
"speaker": "user",
"text": "Hello, Miao Li, Where are you going?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Hello, I am going to the store to buy some fruit.",
"turn_id": 2
},
{
"speaker": "user",
"text": "Oh, Would you do me a favor?",
"turn_id": 3
},
{
... | DailyDialog_test_000058 | shopping | life_mt_sct_DailyDialog_test_000058_target10 | false | {
"category": "daily_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"shopping_... | [
"answer_not_grounded",
"fragment_answer",
"generic_answer",
"too_short_answer",
"weak_final_state",
"weak_target_answer"
] | 0 | DailyDialog | test_000058 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible dailydialog prefix is used. The user turn updates the daily dialogue context and response policy without relying on future turns; added slots: none; changed slots: none; removed slots: none.",
"reasoning_confidence": "medium",
... | prefix_to_next_assistant_text |
You too, enjoy your meal! | The visible history is a restaurant booking task in food dining. Known constraints are time_constraint=thursday. The answer should address the booking or reservation step while tracking cuisine, area, price, time, and party size. | [
{
"speaker": "user",
"text": "I am looking for a particular restaurant called city stop restaurant.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "It is an expensive european restaurant in the north part of town. Would you like to make a booking?",
"turn_id": 2
},
{
"speake... | MultiWOZ_SNG0551.json | cooking | life_mt_sct_MultiWOZ_SNG0551.json_target6 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dining"
],
"domain_categ... | [
"low_information_answer"
] | 0.749 | MultiWOZ | SNG0551.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: ingredients; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: ingredients; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
Did you say you would prefer an early morning flight? | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=5 days; destination=chicago, los angeles; origin=los angeles; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi Assistant. I need to find a round-trip, commercial, airline flight from Los Angeles to Chicago. Can you help me?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Sure. Just a moment, please. And what are your travel dates?",
"turn_id": 2
},
{
... | Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | travel | life_mt_sct_Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2_target10 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [] | 1 | Taskmaster | dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | prefix_to_next_assistant_text |
Royal Spice is located at Victoria Avenue Chesterton, postcode cb41eh. Its phone number is [phone removed]. Is there any other information you need? | The visible history is a restaurant search task in travel transportation. It should track cuisine, area, and price. The answer should ask, confirm, or respond only to details present in the visible history. | [
{
"speaker": "user",
"text": "I need a cheap place to dine at in the north.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 2 options available. Would you rather have Indian or Italian food?",
"turn_id": 2
},
{
"speaker": "user",
"text": "I want Indian food. Pleas... | MultiWOZ_MUL2384.json | travel | life_mt_sct_MultiWOZ_MUL2384.json_target4 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [
"weak_final_state"
] | 0.97 | MultiWOZ | MUL2384.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
Okay, one moment please. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=5 days; destination=chicago, los angeles; origin=los angeles; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi Assistant. I need to find a round-trip, commercial, airline flight from Los Angeles to Chicago. Can you help me?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Sure. Just a moment, please. And what are your travel dates?",
"turn_id": 2
},
{
... | Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | travel | life_mt_sct_Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2_target12 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [
"low_information_answer"
] | 0.749 | Taskmaster | dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | prefix_to_next_assistant_text |
It's a theatre on the south side of town, over on clifton way. | The visible history is a restaurant search task in travel transportation. It should track cuisine, area, and price. The answer should ask, confirm, or respond only to details present in the visible history. | [
{
"speaker": "user",
"text": "I need a cheap place to dine at in the north.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 2 options available. Would you rather have Indian or Italian food?",
"turn_id": 2
},
{
"speaker": "user",
"text": "I want Indian food. Pleas... | MultiWOZ_MUL2384.json | travel | life_mt_sct_MultiWOZ_MUL2384.json_target6 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [
"answer_not_grounded",
"off_topic_answer",
"premature_respond",
"weak_final_state"
] | 0.22 | MultiWOZ | MUL2384.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
There is a nonstop flight leaving Chicago at 6 a.m. and arriving in LA at 8:27 a.m. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=5 days; destination=chicago, los angeles; origin=los angeles; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi Assistant. I need to find a round-trip, commercial, airline flight from Los Angeles to Chicago. Can you help me?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Sure. Just a moment, please. And what are your travel dates?",
"turn_id": 2
},
{
... | Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | travel | life_mt_sct_Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2_target14 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [] | 1 | Taskmaster | dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | prefix_to_next_assistant_text |
You are welcome, glad to help. Bye. | The visible history is a restaurant search task in travel transportation. It should track cuisine, area, and price. The answer should ask, confirm, or respond only to details present in the visible history. | [
{
"speaker": "user",
"text": "I need a cheap place to dine at in the north.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 2 options available. Would you rather have Indian or Italian food?",
"turn_id": 2
},
{
"speaker": "user",
"text": "I want Indian food. Pleas... | MultiWOZ_MUL2384.json | travel | life_mt_sct_MultiWOZ_MUL2384.json_target8 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [
"weak_final_state"
] | 0.899 | MultiWOZ | MUL2384.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
Okay, great. I will book these flights for you. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=5 days; destination=chicago, los angeles; origin=los angeles; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi Assistant. I need to find a round-trip, commercial, airline flight from Los Angeles to Chicago. Can you help me?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Sure. Just a moment, please. And what are your travel dates?",
"turn_id": 2
},
{
... | Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | travel | life_mt_sct_Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2_target16 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [] | 0.899 | Taskmaster | dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | prefix_to_next_assistant_text |
Okay, I've booked a black Volkswagen for you. | The visible history is a taxi booking task in travel transportation. Known constraints are transport_type=taxi. The answer should address the booking or reservation step while tracking pickup, destination, and time. | [
{
"speaker": "user",
"text": "I need a cheap place to dine at in the north.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 2 options available. Would you rather have Indian or Italian food?",
"turn_id": 2
},
{
"speaker": "user",
"text": "I want Indian food. Pleas... | MultiWOZ_MUL2384.json | travel | life_mt_sct_MultiWOZ_MUL2384.json_target10 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 0.899 | MultiWOZ | MUL2384.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
You're welcome. I hope you enjoy your trip. | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=5 days; destination=chicago, los angeles; origin=los angeles; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi Assistant. I need to find a round-trip, commercial, airline flight from Los Angeles to Chicago. Can you help me?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Sure. Just a moment, please. And what are your travel dates?",
"turn_id": 2
},
{
... | Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | travel | life_mt_sct_Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2_target18 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [] | 0.899 | Taskmaster | dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | prefix_to_next_assistant_text |
Sure, contact number [phone removed]. Can I be of further assistance today? | The visible history is a taxi booking task in travel transportation. Known constraints are transport_type=taxi. The answer should address the booking or reservation step while tracking pickup, destination, and time. | [
{
"speaker": "user",
"text": "I need a cheap place to dine at in the north.",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "I have 2 options available. Would you rather have Indian or Italian food?",
"turn_id": 2
},
{
"speaker": "user",
"text": "I want Indian food. Pleas... | MultiWOZ_MUL2384.json | travel | life_mt_sct_MultiWOZ_MUL2384.json_target12 | true | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain_categories": [
"food_dini... | [] | 1 | MultiWOZ | MUL2384.json | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible multiwoz prefix is used. The user turn is treated as new task evidence; added slots: none; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.",
"reasoning_confidence": "high",
... | prefix_to_next_assistant_text |
You too. Good bye! | The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=5 days; destination=chicago, los angeles; origin=los angeles; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates. | [
{
"speaker": "user",
"text": "Hi Assistant. I need to find a round-trip, commercial, airline flight from Los Angeles to Chicago. Can you help me?",
"turn_id": 1
},
{
"speaker": "assistant",
"text": "Sure. Just a moment, please. And what are your travel dates?",
"turn_id": 2
},
{
... | Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | travel | life_mt_sct_Taskmaster_dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2_target20 | false | {
"category": "task_oriented_dialogue",
"category_taxonomy_method": "deterministic_source_aware_rules_v1",
"chunk_level": "turn",
"cleaning_flags": [
"too_many_turns",
"too_short_average_turn"
],
"construction_type": "prefix_to_next_assistant_turn",
"deep_reasoning_method": "rule_based",
"domain... | [
"low_information_answer"
] | 0.749 | Taskmaster | dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | train | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | [
{
"chunk_id": "C1",
"reasoning": "After turn 1, only the current visible taskmaster prefix is used. The user turn is treated as new task evidence; added slots: destination, origin, transport_type; changed slots: none; removed slots: none; new missing slots: none; resolved missing slots: none.",
"reasoni... | prefix_to_next_assistant_text |
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