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float64
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Good. Have you got any other questions?
The dialogue is technical support in education career, with information request intent. Key constraints are event_type=appointment. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Excuse me. I have an appointment with Mr. Li at nine. May I come in?", "turn_id": 1 }, { "speaker": "assistant", "text": "Yes, come in please. I am Mr. Li. You must be My Liu, right?", "turn_id": 2 }, { "speaker": "user", "text": "Yes, I am My Li...
DailyDialog_test_000074
schedule
life_mt_sct_DailyDialog_test_000074_target16
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...
[]
0.899
DailyDialog
test_000074
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: event_type; changed slots: none; removed slots: none.", "reasoning_confidence": "high", ...
[ { "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: event_type; changed slots: none; removed slots: none.", "reasoning_confidence": "high", ...
prefix_to_next_assistant_text
You're all set on that train, and your reservation reference number is 3XM02AO1. The total due at the station will be 132.8GBP. Can I help with anything else today?
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=wednesday; 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": "Hi, I need a train that leaves on Wednesday and arrives by 08:45.", "turn_id": 1 }, { "speaker": "assistant", "text": "I'm going to need a little more information from you. Where will you be leaving from? Where are you traveling to?", "turn_id": 2 }, { ...
MultiWOZ_PMUL1121.json
travel
life_mt_sct_MultiWOZ_PMUL1121.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": [ "travel_tr...
[]
1
MultiWOZ
PMUL1121.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: date_or_duration, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none. Unsupported ...
[ { "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: date_or_duration, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none. Unsupported ...
prefix_to_next_assistant_text
Okay, is that all?
The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=wednesday; destination=paris; 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 finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_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...
[]
0.899
Taskmaster
dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
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 contact you in a week. See you.
The dialogue is technical support in education career, with confirmation clarification intent. Key constraints are event_type=appointment. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Excuse me. I have an appointment with Mr. Li at nine. May I come in?", "turn_id": 1 }, { "speaker": "assistant", "text": "Yes, come in please. I am Mr. Li. You must be My Liu, right?", "turn_id": 2 }, { "speaker": "user", "text": "Yes, I am My Li...
DailyDialog_test_000074
schedule
life_mt_sct_DailyDialog_test_000074_target18
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...
[ "premature_respond" ]
0.95
DailyDialog
test_000074
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: event_type; changed slots: none; removed slots: none.", "reasoning_confidence": "high", ...
[ { "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: event_type; changed slots: none; removed slots: none.", "reasoning_confidence": "high", ...
prefix_to_next_assistant_text
Sure! I highly suggest All Saints Church. Would you like more information?
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=wednesday; 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": "Hi, I need a train that leaves on Wednesday and arrives by 08:45.", "turn_id": 1 }, { "speaker": "assistant", "text": "I'm going to need a little more information from you. Where will you be leaving from? Where are you traveling to?", "turn_id": 2 }, { ...
MultiWOZ_PMUL1121.json
travel
life_mt_sct_MultiWOZ_PMUL1121.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": [ "travel_tr...
[]
1
MultiWOZ
PMUL1121.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: date_or_duration, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none. Unsupported ...
[ { "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: date_or_duration, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none. Unsupported ...
prefix_to_next_assistant_text
Ok.
The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=wednesday; destination=paris; 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 finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_target8
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...
[ "answer_not_grounded", "fragment_answer", "generic_answer", "too_short_answer", "weak_target_answer" ]
0
Taskmaster
dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
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
I suggest the Old Schools. The address is Trinity Lane and the phone number is [phone removed].
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=wednesday; 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": "Hi, I need a train that leaves on Wednesday and arrives by 08:45.", "turn_id": 1 }, { "speaker": "assistant", "text": "I'm going to need a little more information from you. Where will you be leaving from? Where are you traveling to?", "turn_id": 2 }, { ...
MultiWOZ_PMUL1121.json
travel
life_mt_sct_MultiWOZ_PMUL1121.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": [ "travel_tr...
[]
1
MultiWOZ
PMUL1121.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: date_or_duration, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none. Unsupported ...
[ { "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: date_or_duration, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none. Unsupported ...
prefix_to_next_assistant_text
Okay, anything else?
The visible history is a flight booking task in travel transportation. Known constraints are budget=$1,000; date_or_duration=wednesday; destination=paris; 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 finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_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...
[ "too_short_answer", "weak_target_answer" ]
0.68
Taskmaster
dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
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 are very welcome. Enjoy your trip.
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=wednesday; 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": "Hi, I need a train that leaves on Wednesday and arrives by 08:45.", "turn_id": 1 }, { "speaker": "assistant", "text": "I'm going to need a little more information from you. Where will you be leaving from? Where are you traveling to?", "turn_id": 2 }, { ...
MultiWOZ_PMUL1121.json
travel
life_mt_sct_MultiWOZ_PMUL1121.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": [ "travel_tr...
[]
0.899
MultiWOZ
PMUL1121.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: date_or_duration, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none. Unsupported ...
[ { "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: date_or_duration, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none. Unsupported ...
prefix_to_next_assistant_text
Ok sure. Just to confirm you are looking for flights out from Houston to Paris.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$1,000; date_or_duration=wednesday; destination=paris; 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 finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_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...
[]
1
Taskmaster
dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
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
Outlets have more reasonable prices.
The dialogue is shopping assistance in shopping retail, with planning coordination intent. Key constraints are item_type=n inexpensive cashmere sweater. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Hello, where can I buy an inexpensive cashmere sweater?", "turn_id": 1 }, { "speaker": "assistant", "text": "Maybe you should look around for an outlet.", "turn_id": 2 }, { "speaker": "user", "text": "That is a wonderful idea.", "turn_id": 3 ...
DailyDialog_test_000076
shopping
life_mt_sct_DailyDialog_test_000076_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" ]
0.749
DailyDialog
test_000076
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
Sure, they are in the moderate price range.
The visible history is a restaurant search task in food dining. 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": "Could you tell me where Cotto is located?", "turn_id": 1 }, { "speaker": "assistant", "text": "I have them at 183 East Road City Centre, cb11bg.", "turn_id": 2 }, { "speaker": "user", "text": "Great! Do you know what price range they are in?", ...
MultiWOZ_SNG02071.json
shopping
life_mt_sct_MultiWOZ_SNG02071.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...
[ "weak_final_state" ]
0.899
MultiWOZ
SNG02071.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: item_type; 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: item_type; resolved missing slots: none.", "reasoning_confidence": "high", ...
prefix_to_next_assistant_text
Okay, I found a flight departing at 3:40 p.m. with their friends.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$1,000; date_or_duration=wednesday; destination=paris; 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 finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_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-02329aef-3c98-40bc-ae70-c11eeeca2235
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
No problem. Good luck
The dialogue is shopping assistance in shopping retail, with problem solving intent. Key constraints are item_type=n inexpensive cashmere sweater. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Hello, where can I buy an inexpensive cashmere sweater?", "turn_id": 1 }, { "speaker": "assistant", "text": "Maybe you should look around for an outlet.", "turn_id": 2 }, { "speaker": "user", "text": "That is a wonderful idea.", "turn_id": 3 ...
DailyDialog_test_000076
shopping
life_mt_sct_DailyDialog_test_000076_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"...
[ "low_information_answer" ]
0.749
DailyDialog
test_000076
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
You're welcome. Have a great day.
The visible history is a restaurant search task in food dining. 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": "Could you tell me where Cotto is located?", "turn_id": 1 }, { "speaker": "assistant", "text": "I have them at 183 East Road City Centre, cb11bg.", "turn_id": 2 }, { "speaker": "user", "text": "Great! Do you know what price range they are in?", ...
MultiWOZ_SNG02071.json
shopping
life_mt_sct_MultiWOZ_SNG02071.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", "weak_final_state" ]
0.749
MultiWOZ
SNG02071.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: item_type; 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: item_type; resolved missing slots: none.", "reasoning_confidence": "high", ...
prefix_to_next_assistant_text
The ticket price is $893 round trip.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$1,000; date_or_duration=wednesday; destination=paris; 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 finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_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-02329aef-3c98-40bc-ae70-c11eeeca2235
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
They're 250NT each, but they're not edible. They're only used for worship.
The dialogue is uncertain context in general daily life, with information request intent. Key constraints are budget=30. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Wow! Your fruit looks really fresh! How much are these apples?", "turn_id": 1 }, { "speaker": "assistant", "text": "The apples are 30NT each. How many would you like?", "turn_id": 2 }, { "speaker": "user", "text": "Let's see, 30NT is about... alm...
DailyDialog_test_000077
other_life
life_mt_sct_DailyDialog_test_000077_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": [ "general_daily_lif...
[ "low_taxonomy_confidence" ]
0.749
DailyDialog
test_000077
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
Return departs at 10:10 a.m. with Air France.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$1,000; date_or_duration=wednesday; destination=paris; transport_type=flight. The answer should address the customer support step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi. I need help finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_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...
[]
1
Taskmaster
dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
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
Wait! Don't go just yet. These bananas are pretty cheap--only 35NT for this bunch.
The dialogue is uncertain context in general daily life, with information request intent. Key constraints are budget=30, 250, 8 dollars. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Wow! Your fruit looks really fresh! How much are these apples?", "turn_id": 1 }, { "speaker": "assistant", "text": "The apples are 30NT each. How many would you like?", "turn_id": 2 }, { "speaker": "user", "text": "Let's see, 30NT is about... alm...
DailyDialog_test_000077
other_life
life_mt_sct_DailyDialog_test_000077_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": [ "general_daily_lif...
[ "low_taxonomy_confidence" ]
0.749
DailyDialog
test_000077
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
Okay great, is that all?
The visible history is a flight booking task in travel transportation. Known constraints are budget=$1,000; date_or_duration=wednesday; destination=paris; 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 finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_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-02329aef-3c98-40bc-ae70-c11eeeca2235
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
They're also good for your digestion! Would you like some kiwis, too?
The dialogue is uncertain context in general daily life, with information request intent. Key constraints are budget=30, 250, 8 dollars. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Wow! Your fruit looks really fresh! How much are these apples?", "turn_id": 1 }, { "speaker": "assistant", "text": "The apples are 30NT each. How many would you like?", "turn_id": 2 }, { "speaker": "user", "text": "Let's see, 30NT is about... alm...
DailyDialog_test_000077
other_life
life_mt_sct_DailyDialog_test_000077_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": [ "general_daily_lif...
[ "low_taxonomy_confidence" ]
0.749
DailyDialog
test_000077
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 feature is unavailable at the moment.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$1,000; date_or_duration=wednesday; destination=paris; 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 finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_target22
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-02329aef-3c98-40bc-ae70-c11eeeca2235
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
They're imported from New Zealand. Four for 50NT. Nine for a hundred.
The dialogue is uncertain context in general daily life, with information request intent. Key constraints are budget=30, 250, 8 dollars. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Wow! Your fruit looks really fresh! How much are these apples?", "turn_id": 1 }, { "speaker": "assistant", "text": "The apples are 30NT each. How many would you like?", "turn_id": 2 }, { "speaker": "user", "text": "Let's see, 30NT is about... alm...
DailyDialog_test_000077
other_life
life_mt_sct_DailyDialog_test_000077_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": [ "general_daily_lif...
[ "low_taxonomy_confidence" ]
0.749
DailyDialog
test_000077
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
1:45 p.m.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$1,000; date_or_duration=wednesday; destination=paris; transport_type=flight. The answer should address the customer support step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi. I need help finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_target24
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-02329aef-3c98-40bc-ae70-c11eeeca2235
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
really? Why?
The dialogue is uncertain context in general daily life, with information request intent. The most recent user context is: well, I wanted to let you know that I've put in my notice. The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Amelia, could you spare a few minutes?", "turn_id": 1 }, { "speaker": "assistant", "text": "sure. What do you need?", "turn_id": 2 }, { "speaker": "user", "text": "well, I wanted to let you know that I've put in my notice.", "turn_id": 3 } ...
DailyDialog_test_000078
schedule
life_mt_sct_DailyDialog_test_000078_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": [ "general_daily_lif...
[ "low_taxonomy_confidence", "too_short_answer", "weak_final_state", "weak_target_answer" ]
0.6
DailyDialog
test_000078
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
8:15 in the morning.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$1,000, 3; date_or_duration=wednesday; destination=paris; 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 finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_target26
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-02329aef-3c98-40bc-ae70-c11eeeca2235
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
but surely they won't fire you! You're one of the most experienced managers here!
The dialogue is workplace conversation in education career, with planning coordination intent. The most recent user context is: it's complicated. But basically it boils down to one thing. This company is downsizing and I can't continue working for a company that may let me go. The answer is grounded only in the visible...
[ { "speaker": "user", "text": "Amelia, could you spare a few minutes?", "turn_id": 1 }, { "speaker": "assistant", "text": "sure. What do you need?", "turn_id": 2 }, { "speaker": "user", "text": "well, I wanted to let you know that I've put in my notice.", "turn_id": 3 },...
DailyDialog_test_000078
schedule
life_mt_sct_DailyDialog_test_000078_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"...
[ "fragment_answer", "premature_respond", "weak_final_state" ]
0.499
DailyDialog
test_000078
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 is none that serves that food. can you change location?
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 am on a budget and need a cheap place to eat.", "turn_id": 1 }, { "speaker": "assistant", "text": "There are 22 cheap places to eat in the area. Do you have a preference of food type?", "turn_id": 2 }, { "speaker": "user", "text": "I'd like Ind...
MultiWOZ_PMUL4833.json
cooking
life_mt_sct_MultiWOZ_PMUL4833.json_target4
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...
[ "financial_context", "sensitive_content" ]
0.749
MultiWOZ
PMUL4833.json
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
Your welcome. Goodbye.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$1,000, 3; date_or_duration=wednesday; destination=paris; 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 finding a flight to Paris, France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, great.", "turn_id": 2 }, { "speaker": "user", "text": "I'd like to leave on Wednesday, April 12th.", "turn_id": 3 }, { "spea...
Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235
travel
life_mt_sct_Taskmaster_dlg-02329aef-3c98-40bc-ae70-c11eeeca2235_target28
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-02329aef-3c98-40bc-ae70-c11eeeca2235
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
well that's great news! Congratulations! Where will you be located?
The dialogue is workplace conversation in education career, with information request intent. The most recent user context is: well, to be honest, there's another reason. I've got a better offer. The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Amelia, could you spare a few minutes?", "turn_id": 1 }, { "speaker": "assistant", "text": "sure. What do you need?", "turn_id": 2 }, { "speaker": "user", "text": "well, I wanted to let you know that I've put in my notice.", "turn_id": 3 },...
DailyDialog_test_000078
schedule
life_mt_sct_DailyDialog_test_000078_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" ]
0.97
DailyDialog
test_000078
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
la raza is fine for you. can i give you the contact?
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 am on a budget and need a cheap place to eat.", "turn_id": 1 }, { "speaker": "assistant", "text": "There are 22 cheap places to eat in the area. Do you have a preference of food type?", "turn_id": 2 }, { "speaker": "user", "text": "I'd like Ind...
MultiWOZ_PMUL4833.json
cooking
life_mt_sct_MultiWOZ_PMUL4833.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...
[ "financial_context", "sensitive_content" ]
0.749
MultiWOZ
PMUL4833.json
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
Are layovers okay?
The visible history is a flight booking task in travel transportation. Known constraints are 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": "Hello. All right, today I need your help finding up a flight, a round trip flight from Los Angeles to Chicago.", "turn_id": 1 }, { "speaker": "assistant", "text": "For what days?", "turn_id": 2 }, { "speaker": "user", "text": "The days are going ...
Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a
travel
life_mt_sct_Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a_target4
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-0255be42-6aa3-4b83-995c-73a21bf5de8a
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'll be sad to see you go, but it sounds like you're found yourself a great opportunity.
The dialogue is workplace conversation in education career, with information request intent. Key constraints are location=new york. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Amelia, could you spare a few minutes?", "turn_id": 1 }, { "speaker": "assistant", "text": "sure. What do you need?", "turn_id": 2 }, { "speaker": "user", "text": "well, I wanted to let you know that I've put in my notice.", "turn_id": 3 },...
DailyDialog_test_000078
schedule
life_mt_sct_DailyDialog_test_000078_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"...
[ "premature_respond" ]
0.95
DailyDialog
test_000078
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 table will be reserved for 15 minutes. Reference number is: UKTN9VKD.
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 am on a budget and need a cheap place to eat.", "turn_id": 1 }, { "speaker": "assistant", "text": "There are 22 cheap places to eat in the area. Do you have a preference of food type?", "turn_id": 2 }, { "speaker": "user", "text": "I'd like Ind...
MultiWOZ_PMUL4833.json
cooking
life_mt_sct_MultiWOZ_PMUL4833.json_target8
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...
[ "financial_context", "premature_respond", "sensitive_content" ]
0.749
MultiWOZ
PMUL4833.json
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
What time would you like to leave?
The visible history is a flight booking task in travel transportation. Known constraints are 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": "Hello. All right, today I need your help finding up a flight, a round trip flight from Los Angeles to Chicago.", "turn_id": 1 }, { "speaker": "assistant", "text": "For what days?", "turn_id": 2 }, { "speaker": "user", "text": "The days are going ...
Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a
travel
life_mt_sct_Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a_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...
[]
0.899
Taskmaster
dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a
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
I'm sorry to bring this up, but would it be possible for you to write me a letter of recommendation before you go?
The dialogue is workplace conversation in education career, with information request intent. Key constraints are location=new york. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Amelia, could you spare a few minutes?", "turn_id": 1 }, { "speaker": "assistant", "text": "sure. What do you need?", "turn_id": 2 }, { "speaker": "user", "text": "well, I wanted to let you know that I've put in my notice.", "turn_id": 3 },...
DailyDialog_test_000078
schedule
life_mt_sct_DailyDialog_test_000078_target12
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"...
[]
1
DailyDialog
test_000078
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
El Shaddai is an inexpensive guesthouse with internet service. Would you like me to make you a reservation there?
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 am on a budget and need a cheap place to eat.", "turn_id": 1 }, { "speaker": "assistant", "text": "There are 22 cheap places to eat in the area. Do you have a preference of food type?", "turn_id": 2 }, { "speaker": "user", "text": "I'd like Ind...
MultiWOZ_PMUL4833.json
cooking
life_mt_sct_MultiWOZ_PMUL4833.json_target10
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...
[ "financial_context", "sensitive_content" ]
0.749
MultiWOZ
PMUL4833.json
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
Got it. The Earliest flight is at 5:48 AM for departure.
The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=morning; 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": "Hello. All right, today I need your help finding up a flight, a round trip flight from Los Angeles to Chicago.", "turn_id": 1 }, { "speaker": "assistant", "text": "For what days?", "turn_id": 2 }, { "speaker": "user", "text": "The days are going ...
Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a
travel
life_mt_sct_Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a_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...
[]
1
Taskmaster
dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a
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
thanks. I appreciate that.
The dialogue is workplace conversation in education career, with recommendation intent. Key constraints are location=new york. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Amelia, could you spare a few minutes?", "turn_id": 1 }, { "speaker": "assistant", "text": "sure. What do you need?", "turn_id": 2 }, { "speaker": "user", "text": "well, I wanted to let you know that I've put in my notice.", "turn_id": 3 },...
DailyDialog_test_000078
schedule
life_mt_sct_DailyDialog_test_000078_target14
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" ]
0.749
DailyDialog
test_000078
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
alexander bed and breakfast fits those criteria, would you like me to book a stay?
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 am on a budget and need a cheap place to eat.", "turn_id": 1 }, { "speaker": "assistant", "text": "There are 22 cheap places to eat in the area. Do you have a preference of food type?", "turn_id": 2 }, { "speaker": "user", "text": "I'd like Ind...
MultiWOZ_PMUL4833.json
cooking
life_mt_sct_MultiWOZ_PMUL4833.json_target12
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...
[ "financial_context", "sensitive_content" ]
0.749
MultiWOZ
PMUL4833.json
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
For the return flight, I have a 6 AM and a 9:22 AM.
The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=morning; 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": "Hello. All right, today I need your help finding up a flight, a round trip flight from Los Angeles to Chicago.", "turn_id": 1 }, { "speaker": "assistant", "text": "For what days?", "turn_id": 2 }, { "speaker": "user", "text": "The days are going ...
Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a
travel
life_mt_sct_Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a_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-0255be42-6aa3-4b83-995c-73a21bf5de8a
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
The address is 56 Saint Barnabas Road. Is there anything else that I can help you with?
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 am on a budget and need a cheap place to eat.", "turn_id": 1 }, { "speaker": "assistant", "text": "There are 22 cheap places to eat in the area. Do you have a preference of food type?", "turn_id": 2 }, { "speaker": "user", "text": "I'd like Ind...
MultiWOZ_PMUL4833.json
cooking
life_mt_sct_MultiWOZ_PMUL4833.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...
[ "financial_context", "sensitive_content" ]
0.749
MultiWOZ
PMUL4833.json
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 Itinerary has been sent to your email.
The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=morning, 9:22 am; 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": "Hello. All right, today I need your help finding up a flight, a round trip flight from Los Angeles to Chicago.", "turn_id": 1 }, { "speaker": "assistant", "text": "For what days?", "turn_id": 2 }, { "speaker": "user", "text": "The days are going ...
Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a
travel
life_mt_sct_Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a_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-0255be42-6aa3-4b83-995c-73a21bf5de8a
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, sir. I apologize for that. Here ' s the file you were looking for, Mr. Emory.
The dialogue is workplace conversation in education career, with recommendation intent. The most recent user context is: Christine, I know you ' re new here and there ' s a lot to learn, but you are going to have to learn to keep your work in better order. We can ' t afford to lose an important document. The answer is ...
[ { "speaker": "user", "text": "the James ' s file, Christine?", "turn_id": 1 }, { "speaker": "assistant", "text": "I had it right here a minute ago, Mr. Emory. Umm. Just a minute...", "turn_id": 2 }, { "speaker": "user", "text": "Christine, I know you ' re new here and there '...
DailyDialog_test_000080
shopping
life_mt_sct_DailyDialog_test_000080_target4
true
{ "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...
[ "premature_respond", "weak_final_state" ]
0.92
DailyDialog
test_000080
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 using our system today!
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 am on a budget and need a cheap place to eat.", "turn_id": 1 }, { "speaker": "assistant", "text": "There are 22 cheap places to eat in the area. Do you have a preference of food type?", "turn_id": 2 }, { "speaker": "user", "text": "I'd like Ind...
MultiWOZ_PMUL4833.json
cooking
life_mt_sct_MultiWOZ_PMUL4833.json_target16
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...
[ "financial_context", "sensitive_content" ]
0.749
MultiWOZ
PMUL4833.json
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
Bye.
The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=morning, 9:22 am; 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": "Hello. All right, today I need your help finding up a flight, a round trip flight from Los Angeles to Chicago.", "turn_id": 1 }, { "speaker": "assistant", "text": "For what days?", "turn_id": 2 }, { "speaker": "user", "text": "The days are going ...
Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a
travel
life_mt_sct_Taskmaster_dlg-0255be42-6aa3-4b83-995c-73a21bf5de8a_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-0255be42-6aa3-4b83-995c-73a21bf5de8a
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
What are those dates again?
The visible history is a flight booking task in travel transportation. Known constraints are destination=seattle; origin=seattle, april; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hello. I'd like to see about booking a flight from Seattle, Washington to Myrtle Beach, South Carolina.", "turn_id": 1 }, { "speaker": "assistant", "text": "One moment.", "turn_id": 2 }, { "speaker": "user", "text": "The dates would be from April...
Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
travel
life_mt_sct_Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d_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...
[]
0.899
Taskmaster
dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
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
Can you give me some specifications?
The visible history is a flight booking task in travel transportation. Known constraints are destination=seattle; origin=seattle, april; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hello. I'd like to see about booking a flight from Seattle, Washington to Myrtle Beach, South Carolina.", "turn_id": 1 }, { "speaker": "assistant", "text": "One moment.", "turn_id": 2 }, { "speaker": "user", "text": "The dates would be from April...
Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
travel
life_mt_sct_Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d_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...
[]
0.899
Taskmaster
dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
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
Do you want to leave in the morning or afternoon flight?
The visible history is a flight booking task in travel transportation. Known constraints are budget=$900; destination=seattle; origin=seattle, april; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hello. I'd like to see about booking a flight from Seattle, Washington to Myrtle Beach, South Carolina.", "turn_id": 1 }, { "speaker": "assistant", "text": "One moment.", "turn_id": 2 }, { "speaker": "user", "text": "The dates would be from April...
Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
travel
life_mt_sct_Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d_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...
[]
1
Taskmaster
dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
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
I do not have any flights for under $900.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$900; date_or_duration=morning; destination=seattle; origin=seattle, april. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hello. I'd like to see about booking a flight from Seattle, Washington to Myrtle Beach, South Carolina.", "turn_id": 1 }, { "speaker": "assistant", "text": "One moment.", "turn_id": 2 }, { "speaker": "user", "text": "The dates would be from April...
Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
travel
life_mt_sct_Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d_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...
[]
0.899
Taskmaster
dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
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
Perfect. I found a flight for you.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$900, $1,500; date_or_duration=morning; destination=seattle; origin=seattle, april. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hello. I'd like to see about booking a flight from Seattle, Washington to Myrtle Beach, South Carolina.", "turn_id": 1 }, { "speaker": "assistant", "text": "One moment.", "turn_id": 2 }, { "speaker": "user", "text": "The dates would be from April...
Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
travel
life_mt_sct_Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d_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-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
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
Would you like this to-go?
The dialogue is uncertain context in general daily life, with information request intent. The most recent user context is: Very nice. Thank you. The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Excuse me. Check please.", "turn_id": 1 }, { "speaker": "assistant", "text": "OK, how was everything?", "turn_id": 2 }, { "speaker": "user", "text": "Very nice. Thank you.", "turn_id": 3 } ]
DailyDialog_test_000083
other_life
life_mt_sct_DailyDialog_test_000083_target4
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_taxonomy_confidence", "weak_final_state" ]
0.749
DailyDialog
test_000083
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
Departs at 12:00 PM.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$900, $1,500; date_or_duration=morning; destination=seattle; origin=seattle, april. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hello. I'd like to see about booking a flight from Seattle, Washington to Myrtle Beach, South Carolina.", "turn_id": 1 }, { "speaker": "assistant", "text": "One moment.", "turn_id": 2 }, { "speaker": "user", "text": "The dates would be from April...
Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
travel
life_mt_sct_Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d_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...
[ "low_information_answer" ]
0.749
Taskmaster
dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
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, no problem. Here you are. That'll be 25 dollars.
The dialogue is uncertain context in general daily life, with problem solving intent. The most recent user context is: Yes, can you put it in a plastic bag? The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Excuse me. Check please.", "turn_id": 1 }, { "speaker": "assistant", "text": "OK, how was everything?", "turn_id": 2 }, { "speaker": "user", "text": "Very nice. Thank you.", "turn_id": 3 }, { "speaker": "assistant", "text": "Would...
DailyDialog_test_000083
other_life
life_mt_sct_DailyDialog_test_000083_target6
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...
[ "answer_not_grounded", "low_taxonomy_confidence", "weak_final_state" ]
0.499
DailyDialog
test_000083
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
Layover in Atlanta for 1 hour and 46 minutes.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$900, $1,500; date_or_duration=morning; destination=seattle; origin=seattle, april. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hello. I'd like to see about booking a flight from Seattle, Washington to Myrtle Beach, South Carolina.", "turn_id": 1 }, { "speaker": "assistant", "text": "One moment.", "turn_id": 2 }, { "speaker": "user", "text": "The dates would be from April...
Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
travel
life_mt_sct_Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d_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-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
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, we accept Visa and MasterCard.
The dialogue is banking support in finance business, with information request intent. The most recent user context is: Do you take credit cards? The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Excuse me. Check please.", "turn_id": 1 }, { "speaker": "assistant", "text": "OK, how was everything?", "turn_id": 2 }, { "speaker": "user", "text": "Very nice. Thank you.", "turn_id": 3 }, { "speaker": "assistant", "text": "Would...
DailyDialog_test_000083
other_life
life_mt_sct_DailyDialog_test_000083_target8
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", "weak_final_state" ]
0.749
DailyDialog
test_000083
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
No problem.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$900, $1,500; date_or_duration=morning; destination=seattle; origin=seattle, april. The answer should address the customer support step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hello. I'd like to see about booking a flight from Seattle, Washington to Myrtle Beach, South Carolina.", "turn_id": 1 }, { "speaker": "assistant", "text": "One moment.", "turn_id": 2 }, { "speaker": "user", "text": "The dates would be from April...
Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
travel
life_mt_sct_Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d_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...
[ "answer_not_grounded", "fragment_answer", "generic_answer", "too_short_answer", "weak_target_answer" ]
0
Taskmaster
dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
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
Thanks. I'll be right back.
The dialogue is banking support in finance business, with confirmation clarification intent. The most recent user context is: OK, here you are. The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Excuse me. Check please.", "turn_id": 1 }, { "speaker": "assistant", "text": "OK, how was everything?", "turn_id": 2 }, { "speaker": "user", "text": "Very nice. Thank you.", "turn_id": 3 }, { "speaker": "assistant", "text": "Would...
DailyDialog_test_000083
other_life
life_mt_sct_DailyDialog_test_000083_target10
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", "weak_final_state" ]
0.749
DailyDialog
test_000083
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
Cotto is located on 183 East Road City Centre and has the postcode cb11bg. Is there anything else I could help you with today?
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'm looking for information in Cambridge. Can you help?", "turn_id": 1 }, { "speaker": "assistant", "text": "I'd be happy to help you with all things Cambridge. What can I help you find today?", "turn_id": 2 }, { "speaker": "user", "text": "I'd l...
MultiWOZ_MUL2418.json
daily_advice
life_mt_sct_MultiWOZ_MUL2418.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
MUL2418.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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
[ { "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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
prefix_to_next_assistant_text
You're all set.
The visible history is a flight booking task in travel transportation. Known constraints are budget=$900, $1,500; date_or_duration=morning; destination=seattle; origin=seattle, april. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hello. I'd like to see about booking a flight from Seattle, Washington to Myrtle Beach, South Carolina.", "turn_id": 1 }, { "speaker": "assistant", "text": "One moment.", "turn_id": 2 }, { "speaker": "user", "text": "The dates would be from April...
Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
travel
life_mt_sct_Taskmaster_dlg-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d_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-029578d0-2b26-4bb3-8b7c-cbbd5008cd7d
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
Here's your receipt.
The dialogue is banking support in finance business, with confirmation clarification intent. The most recent user context is: OK. The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Excuse me. Check please.", "turn_id": 1 }, { "speaker": "assistant", "text": "OK, how was everything?", "turn_id": 2 }, { "speaker": "user", "text": "Very nice. Thank you.", "turn_id": 3 }, { "speaker": "assistant", "text": "Would...
DailyDialog_test_000083
other_life
life_mt_sct_DailyDialog_test_000083_target12
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...
[ "fragment_answer", "low_information_answer", "too_short_answer", "weak_final_state", "weak_target_answer" ]
0.22
DailyDialog
test_000083
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
Riverboat Georgina is located at cambridge passenger cruisers, jubilee house, phone number [phone removed]. Can I help you with anything else?
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'm looking for information in Cambridge. Can you help?", "turn_id": 1 }, { "speaker": "assistant", "text": "I'd be happy to help you with all things Cambridge. What can I help you find today?", "turn_id": 2 }, { "speaker": "user", "text": "I'd l...
MultiWOZ_MUL2418.json
daily_advice
life_mt_sct_MultiWOZ_MUL2418.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" ]
0.97
MultiWOZ
MUL2418.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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
[ { "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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
prefix_to_next_assistant_text
Okay, round trip or one way?
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 } ]
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_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": "...
[]
0.899
Taskmaster
dlg-02a3add6-906b-4598-89f9-614ff412bc5a
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
You're welcome. Please come again.
The dialogue is banking support in finance business, with small talk intent. The most recent user context is: Thank you. The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Excuse me. Check please.", "turn_id": 1 }, { "speaker": "assistant", "text": "OK, how was everything?", "turn_id": 2 }, { "speaker": "user", "text": "Very nice. Thank you.", "turn_id": 3 }, { "speaker": "assistant", "text": "Would...
DailyDialog_test_000083
other_life
life_mt_sct_DailyDialog_test_000083_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", "weak_final_state" ]
0.749
DailyDialog
test_000083
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
The attraction type for the Riverboat Georgina is "boat." Can I be of any further assistance today?
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'm looking for information in Cambridge. Can you help?", "turn_id": 1 }, { "speaker": "assistant", "text": "I'd be happy to help you with all things Cambridge. What can I help you find today?", "turn_id": 2 }, { "speaker": "user", "text": "I'd l...
MultiWOZ_MUL2418.json
daily_advice
life_mt_sct_MultiWOZ_MUL2418.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
MUL2418.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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
[ { "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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
prefix_to_next_assistant_text
Okay, what class would you like to fly?
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 }, { "speaker": ...
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_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-02a3add6-906b-4598-89f9-614ff412bc5a
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 task is tough.
The dialogue is workplace conversation in education career, with information request intent. The most recent user context is: Why? The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "You look upset, anything wrong?", "turn_id": 1 }, { "speaker": "assistant", "text": "I'm going to quit the job.", "turn_id": 2 }, { "speaker": "user", "text": "Why?", "turn_id": 3 } ]
DailyDialog_test_000084
emotional_support
life_mt_sct_DailyDialog_test_000084_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": [ "education...
[ "low_information_answer", "weak_final_state" ]
0.749
DailyDialog
test_000084
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
No, that is the attraction type listed in our database. It is listed as a boat attraction.
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'm looking for information in Cambridge. Can you help?", "turn_id": 1 }, { "speaker": "assistant", "text": "I'd be happy to help you with all things Cambridge. What can I help you find today?", "turn_id": 2 }, { "speaker": "user", "text": "I'd l...
MultiWOZ_MUL2418.json
daily_advice
life_mt_sct_MultiWOZ_MUL2418.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
MUL2418.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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
[ { "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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
prefix_to_next_assistant_text
Okay, when would you like to leave and return?
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the customer support step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 }, { "speaker": ...
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_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-02a3add6-906b-4598-89f9-614ff412bc5a
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
Thanks for your concern.
The dialogue is workplace conversation in education career, with small talk intent. The most recent user context is: You'd look before you leap. The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "You look upset, anything wrong?", "turn_id": 1 }, { "speaker": "assistant", "text": "I'm going to quit the job.", "turn_id": 2 }, { "speaker": "user", "text": "Why?", "turn_id": 3 }, { "speaker": "assistant", "text": "The task is ...
DailyDialog_test_000084
emotional_support
life_mt_sct_DailyDialog_test_000084_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": [ "education...
[ "low_information_answer", "weak_final_state" ]
0.749
DailyDialog
test_000084
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
Your welcome! Is there anything else I can help you with today?
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'm looking for information in Cambridge. Can you help?", "turn_id": 1 }, { "speaker": "assistant", "text": "I'd be happy to help you with all things Cambridge. What can I help you find today?", "turn_id": 2 }, { "speaker": "user", "text": "I'd l...
MultiWOZ_MUL2418.json
daily_advice
life_mt_sct_MultiWOZ_MUL2418.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...
[ "weak_final_state" ]
0.97
MultiWOZ
MUL2418.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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
[ { "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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
prefix_to_next_assistant_text
Sounds good any other preferences?
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the customer support step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 }, { "speaker": ...
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_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": "...
[]
0.899
Taskmaster
dlg-02a3add6-906b-4598-89f9-614ff412bc5a
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
Well, maybe I can put them in the airport storage there.
The dialogue is travel planning in travel transportation, with emotional support intent. Key constraints are date_or_duration=24 hours; destination=new york, london. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "How long will you stay in New York?", "turn_id": 1 }, { "speaker": "assistant", "text": "Just tor three days. I won't need these luggages.CouId I put them here?", "turn_id": 2 }, { "speaker": "user", "text": "I am sorry. If you have here more tha...
DailyDialog_test_000085
travel
life_mt_sct_DailyDialog_test_000085_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": [ "travel_transportation" ], "domain_cat...
[ "weak_slot_evidence" ]
0.749
DailyDialog
test_000085
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: destination; 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: destination; changed slots: none; removed slots: none.", "reasoning_confidence": "medium...
prefix_to_next_assistant_text
Your welcome. Thank you for contacting us.
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'm looking for information in Cambridge. Can you help?", "turn_id": 1 }, { "speaker": "assistant", "text": "I'd be happy to help you with all things Cambridge. What can I help you find today?", "turn_id": 2 }, { "speaker": "user", "text": "I'd l...
MultiWOZ_MUL2418.json
daily_advice
life_mt_sct_MultiWOZ_MUL2418.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...
[ "weak_final_state" ]
0.899
MultiWOZ
MUL2418.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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
[ { "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: none; resolved missing slots: none.", "reasoning_confidence": "high", "reas...
prefix_to_next_assistant_text
Sure, anything else? Okay great.
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 }, { "speaker": ...
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_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": "...
[]
0.899
Taskmaster
dlg-02a3add6-906b-4598-89f9-614ff412bc5a
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
Walk that way for about four blocks. The hotel's about two blocks north of there.
The dialogue is general conversation in travel transportation, with recommendation intent. Key constraints are hotel_preference=hotel. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Excuse me. Do you know where the Admiral Hotel is?", "turn_id": 1 }, { "speaker": "assistant", "text": "That's over on Callaway Street, isn't it?", "turn_id": 2 }, { "speaker": "user", "text": "Yes, but I can't find Callaway Street.", "turn_i...
DailyDialog_test_000087
travel
life_mt_sct_DailyDialog_test_000087_target4
true
{ "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": [ "travel_transportation" ], "domain_cat...
[ "premature_respond" ]
0.95
DailyDialog
test_000087
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: hotel_preference; changed slots: none; removed slots: none.", "reasoning_confidence": "m...
[ { "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: hotel_preference; changed slots: none; removed slots: none.", "reasoning_confidence": "m...
prefix_to_next_assistant_text
I have several options for you. Where is your destination?
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=wednesday; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints.
[ { "speaker": "user", "text": "Howdy, I need a train heading into cambridge.", "turn_id": 1 }, { "speaker": "assistant", "text": "I would be happy to help you find a train. Where are you departing from?", "turn_id": 2 }, { "speaker": "user", "text": "I am departing from norwic...
MultiWOZ_PMUL1181.json
travel
life_mt_sct_MultiWOZ_PMUL1181.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": [ "travel_tr...
[]
1
MultiWOZ
PMUL1181.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
There is one flight for two thousand nine hundred one dollars.
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 }, { "speaker": ...
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_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-02a3add6-906b-4598-89f9-614ff412bc5a
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
Not at all.
The dialogue is general conversation in travel transportation, with small talk intent. Key constraints are hotel_preference=hotel. The answer is grounded because it responds to that goal using only those stated details.
[ { "speaker": "user", "text": "Excuse me. Do you know where the Admiral Hotel is?", "turn_id": 1 }, { "speaker": "assistant", "text": "That's over on Callaway Street, isn't it?", "turn_id": 2 }, { "speaker": "user", "text": "Yes, but I can't find Callaway Street.", "turn_i...
DailyDialog_test_000087
travel
life_mt_sct_DailyDialog_test_000087_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": [ "travel_transportation" ], "domain_cat...
[ "fragment_answer", "low_information_answer", "too_short_answer", "weak_target_answer" ]
0.25
DailyDialog
test_000087
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: hotel_preference; changed slots: none; removed slots: none.", "reasoning_confidence": "m...
[ { "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: hotel_preference; changed slots: none; removed slots: none.", "reasoning_confidence": "m...
prefix_to_next_assistant_text
The earliest after 18:45 is the TR8658, leaving Norwich at 19:16. Can I reserve you one or more seats on this train?
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=wednesday; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints.
[ { "speaker": "user", "text": "Howdy, I need a train heading into cambridge.", "turn_id": 1 }, { "speaker": "assistant", "text": "I would be happy to help you find a train. Where are you departing from?", "turn_id": 2 }, { "speaker": "user", "text": "I am departing from norwic...
MultiWOZ_PMUL1181.json
travel
life_mt_sct_MultiWOZ_PMUL1181.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": [ "travel_tr...
[]
1
MultiWOZ
PMUL1181.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
Okay, would you like me to book that flight.
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 }, { "speaker": ...
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_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": "...
[]
0.899
Taskmaster
dlg-02a3add6-906b-4598-89f9-614ff412bc5a
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
Booking was successful, the total fee is 17.6 GBP payable at the station. Your reference number is AXH1NM1I. Do you need assistance with anything else?
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=wednesday; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints.
[ { "speaker": "user", "text": "Howdy, I need a train heading into cambridge.", "turn_id": 1 }, { "speaker": "assistant", "text": "I would be happy to help you find a train. Where are you departing from?", "turn_id": 2 }, { "speaker": "user", "text": "I am departing from norwic...
MultiWOZ_PMUL1181.json
travel
life_mt_sct_MultiWOZ_PMUL1181.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": [ "travel_tr...
[]
1
MultiWOZ
PMUL1181.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
Would you like to know about your return flight.
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 }, { "speaker": ...
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_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-02a3add6-906b-4598-89f9-614ff412bc5a
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
It looks like there is The Cherry Hinton Village Centre. Can I get you more information about it?
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=wednesday; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints.
[ { "speaker": "user", "text": "Howdy, I need a train heading into cambridge.", "turn_id": 1 }, { "speaker": "assistant", "text": "I would be happy to help you find a train. Where are you departing from?", "turn_id": 2 }, { "speaker": "user", "text": "I am departing from norwic...
MultiWOZ_PMUL1181.json
travel
life_mt_sct_MultiWOZ_PMUL1181.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": [ "travel_tr...
[]
1
MultiWOZ
PMUL1181.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
There is one non stop for $3,387.
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 }, { "speaker": ...
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_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": "...
[]
0.899
Taskmaster
dlg-02a3add6-906b-4598-89f9-614ff412bc5a
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, please tell her that band practice has been moved to Tuesday night at eight thirty.
The dialogue is uncertain context in general daily life, with information request intent. The most recent user context is: No, I ' m afraid not, Mary. May I take a message for her? The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Hello?", "turn_id": 1 }, { "speaker": "assistant", "text": "Hi, Mr. Smith. This is Mary. Is Jenny there?", "turn_id": 2 }, { "speaker": "user", "text": "No, I ' m afraid not, Mary. May I take a message for her?", "turn_id": 3 } ]
DailyDialog_test_000090
other_life
life_mt_sct_DailyDialog_test_000090_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": [ "general_d...
[ "low_taxonomy_confidence", "weak_final_state" ]
0.749
DailyDialog
test_000090
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
their phone number is [phone removed]. anything else?
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=wednesday; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints.
[ { "speaker": "user", "text": "Howdy, I need a train heading into cambridge.", "turn_id": 1 }, { "speaker": "assistant", "text": "I would be happy to help you find a train. Where are you departing from?", "turn_id": 2 }, { "speaker": "user", "text": "I am departing from norwic...
MultiWOZ_PMUL1181.json
travel
life_mt_sct_MultiWOZ_PMUL1181.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": [ "travel_tr...
[]
0.899
MultiWOZ
PMUL1181.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
Is there anything else I can do for you?
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 }, { "speaker": ...
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_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-02a3add6-906b-4598-89f9-614ff412bc5a
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
No, but if she has any questions, she can call me at 555-2345.
The dialogue is uncertain context in general daily life, with problem solving intent. The most recent user context is: O. K. No problem. Anything else? The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Hello?", "turn_id": 1 }, { "speaker": "assistant", "text": "Hi, Mr. Smith. This is Mary. Is Jenny there?", "turn_id": 2 }, { "speaker": "user", "text": "No, I ' m afraid not, Mary. May I take a message for her?", "turn_id": 3 }, { "sp...
DailyDialog_test_000090
other_life
life_mt_sct_DailyDialog_test_000090_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": [ "general_d...
[ "low_taxonomy_confidence", "weak_final_state" ]
0.749
DailyDialog
test_000090
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
Sure, the postcode is cb19ej. Can I help you find any other information about Cambridge?
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=wednesday; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints.
[ { "speaker": "user", "text": "Howdy, I need a train heading into cambridge.", "turn_id": 1 }, { "speaker": "assistant", "text": "I would be happy to help you find a train. Where are you departing from?", "turn_id": 2 }, { "speaker": "user", "text": "I am departing from norwic...
MultiWOZ_PMUL1181.json
travel
life_mt_sct_MultiWOZ_PMUL1181.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": [ "travel_tr...
[]
1
MultiWOZ
PMUL1181.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
Okay, I booked your flight and emailed you the Details.
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the confirmation clarification step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 }, { "speaker": ...
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_target24
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-02a3add6-906b-4598-89f9-614ff412bc5a
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
Thank you. Bye.
The dialogue is uncertain context in general daily life, with booking or reservation intent. The most recent user context is: All right, I ' ll leave her the message, Mary. Thanks for calling. The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Hello?", "turn_id": 1 }, { "speaker": "assistant", "text": "Hi, Mr. Smith. This is Mary. Is Jenny there?", "turn_id": 2 }, { "speaker": "user", "text": "No, I ' m afraid not, Mary. May I take a message for her?", "turn_id": 3 }, { "sp...
DailyDialog_test_000090
other_life
life_mt_sct_DailyDialog_test_000090_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": [ "general_d...
[ "fragment_answer", "low_information_answer", "low_taxonomy_confidence", "too_short_answer", "weak_final_state", "weak_target_answer" ]
0.17
DailyDialog
test_000090
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
enjoy your time in Cambridge!
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=wednesday; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints.
[ { "speaker": "user", "text": "Howdy, I need a train heading into cambridge.", "turn_id": 1 }, { "speaker": "assistant", "text": "I would be happy to help you find a train. Where are you departing from?", "turn_id": 2 }, { "speaker": "user", "text": "I am departing from norwic...
MultiWOZ_PMUL1181.json
travel
life_mt_sct_MultiWOZ_PMUL1181.json_target16
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": [ "travel_tr...
[ "low_information_answer" ]
0.749
MultiWOZ
PMUL1181.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
Have a great flight.
The visible history is a flight booking task in travel transportation. Known constraints are destination=paris; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "Hi assistant. Yes, I'm trying to schedule an airplane flight to France.", "turn_id": 1 }, { "speaker": "assistant", "text": "Okay, where in France?", "turn_id": 2 }, { "speaker": "user", "text": "Paris.", "turn_id": 3 }, { "speaker": ...
Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a
travel
life_mt_sct_Taskmaster_dlg-02a3add6-906b-4598-89f9-614ff412bc5a_target26
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-02a3add6-906b-4598-89f9-614ff412bc5a
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'm sorry. I can't quite follow you. Would you mind speaking slowly?
The dialogue is uncertain context in general daily life, with information request intent. The most recent user context is: Can you tell me how to get to the Jade Buddha Temple? The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "Do you speak English?", "turn_id": 1 }, { "speaker": "assistant", "text": "Yes, a little.", "turn_id": 2 }, { "speaker": "user", "text": "Can you tell me how to get to the Jade Buddha Temple?", "turn_id": 3 } ]
DailyDialog_test_000091
other_life
life_mt_sct_DailyDialog_test_000091_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", "weak_final_state" ]
0.749
DailyDialog
test_000091
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
Royal Standard has good reviews. Their phone # is [phone removed] and they are located at 290 Mill Road City Centre.
The visible history is a restaurant search task in travel transportation. Known constraints are date_or_duration=tonight. The answer should address the information request step while tracking cuisine, area, and price.
[ { "speaker": "user", "text": "Hi there. I'm trying to find a place to eat tonight. I'd like it to be more high end and expensive, and serve gastropub food. Can you help me?", "turn_id": 1 }, { "speaker": "assistant", "text": "I have three Gastropub restaurants that meet your criteria. Two ar...
MultiWOZ_MUL1604.json
travel
life_mt_sct_MultiWOZ_MUL1604.json_target4
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...
[ "premature_respond", "weak_slot_evidence" ]
0.749
MultiWOZ
MUL1604.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: date_or_duration; 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: date_or_duration; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.", "reasoning_confidence"...
prefix_to_next_assistant_text
Do you have anyone travelling along with you?
The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=4 days; origin=la; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "I need a flight from LA to Miami.", "turn_id": 1 }, { "speaker": "assistant", "text": "I can help you with that. Can you please confirm the dates of your travel?", "turn_id": 2 }, { "speaker": "user", "text": "I want to leave today latest time po...
Taskmaster_dlg-02d3cc76-c1bb-4b86-9c08-48b01dbeaaf2
travel
life_mt_sct_Taskmaster_dlg-02d3cc76-c1bb-4b86-9c08-48b01dbeaaf2_target4
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": [ "travel_tr...
[ "weak_slot_evidence" ]
0.749
Taskmaster
dlg-02d3cc76-c1bb-4b86-9c08-48b01dbeaaf2
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: origin, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.", "reasoning_con...
[ { "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: origin, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.", "reasoning_con...
prefix_to_next_assistant_text
Yes, it's so helpful.
The dialogue is uncertain context in general daily life, with information request intent. The most recent user context is: So you have all the news on broadcast? The answer is grounded only in the visible dialogue history and should stay conservative.
[ { "speaker": "user", "text": "How do you get road news?", "turn_id": 1 }, { "speaker": "assistant", "text": "I've a driver mate in my car!", "turn_id": 2 }, { "speaker": "user", "text": "So you have all the news on broadcast?", "turn_id": 3 } ]
DailyDialog_test_000092
other_life
life_mt_sct_DailyDialog_test_000092_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_information_answer", "low_taxonomy_confidence", "weak_final_state" ]
0.749
DailyDialog
test_000092
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 can help you with that. First, can you tell me where you will be departing and the timeframe you had in mind?
The visible history is a train booking task in travel transportation. Known constraints are date_or_duration=tonight, thursday; transport_type=train. The answer should address the booking or reservation step while tracking departure, destination, and time constraints.
[ { "speaker": "user", "text": "Hi there. I'm trying to find a place to eat tonight. I'd like it to be more high end and expensive, and serve gastropub food. Can you help me?", "turn_id": 1 }, { "speaker": "assistant", "text": "I have three Gastropub restaurants that meet your criteria. Two ar...
MultiWOZ_MUL1604.json
travel
life_mt_sct_MultiWOZ_MUL1604.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...
[ "weak_slot_evidence" ]
0.749
MultiWOZ
MUL1604.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: date_or_duration; 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: date_or_duration; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.", "reasoning_confidence"...
prefix_to_next_assistant_text
Would you like to travel by economy, business class, premium economy or first class?
The visible history is a flight booking task in travel transportation. Known constraints are date_or_duration=4 days; origin=la; transport_type=flight. The answer should address the booking or reservation step while tracking origin, destination, and travel dates.
[ { "speaker": "user", "text": "I need a flight from LA to Miami.", "turn_id": 1 }, { "speaker": "assistant", "text": "I can help you with that. Can you please confirm the dates of your travel?", "turn_id": 2 }, { "speaker": "user", "text": "I want to leave today latest time po...
Taskmaster_dlg-02d3cc76-c1bb-4b86-9c08-48b01dbeaaf2
travel
life_mt_sct_Taskmaster_dlg-02d3cc76-c1bb-4b86-9c08-48b01dbeaaf2_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": [ "travel_tr...
[ "weak_slot_evidence" ]
0.749
Taskmaster
dlg-02d3cc76-c1bb-4b86-9c08-48b01dbeaaf2
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: origin, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.", "reasoning_con...
[ { "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: origin, transport_type; changed slots: none; removed slots: none; new missing slots: destination; resolved missing slots: none.", "reasoning_con...
prefix_to_next_assistant_text