ConvLab/t5-small-nlu-tm1_tm2_tm3
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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'state', 'dialogue_acts', 'intents'}) and 5 missing columns ({'original_id', 'dataset', 'turns', 'dialogue_id', 'data_split'}).
This happened while the json dataset builder was generating data using
zip://data/ontology.json::/tmp/hf-datasets-cache/medium/datasets/73265727319914-config-parquet-and-info-ConvLab-tm2-6af003ce/downloads/48bf4295eec3e2c77555430f4552c0e16b91f5ae5db39c6f7d3b11c83437039b
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
domains: struct<flights: struct<description: string, slots: struct<type: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, destination1: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, destination2: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, origin: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, date.depart_origin: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, date.depart_intermediate: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, date.return: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, time_of_day: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, seating_class: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, seat_location: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, stops: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, price_range: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, num.pax: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, luggage: struct<description: string, is_categorical: bool, possible_values: list<item: null>>, total_fare: struct<description: string, is_cate
...
: string
child 15, phone: string
child 6, sports: struct<name.team: string, record.team: string, record.games_ahead: string, record.games_back: string, place.team: string, result.match: string, score.match: string, date.match: string, day.match: string, time.match: string, name.player: string, position.player: string, record.player: string, name.non_player: string, venue: string, other_description.person: string, other_description.team: string, other_description.match: string>
child 0, name.team: string
child 1, record.team: string
child 2, record.games_ahead: string
child 3, record.games_back: string
child 4, place.team: string
child 5, result.match: string
child 6, score.match: string
child 7, date.match: string
child 8, day.match: string
child 9, time.match: string
child 10, name.player: string
child 11, position.player: string
child 12, record.player: string
child 13, name.non_player: string
child 14, venue: string
child 15, other_description.person: string
child 16, other_description.team: string
child 17, other_description.match: string
dialogue_acts: struct<categorical: list<item: null>, non-categorical: list<item: string>, binary: list<item: string>>
child 0, categorical: list<item: null>
child 0, item: null
child 1, non-categorical: list<item: string>
child 0, item: string
child 2, binary: list<item: string>
child 0, item: string
to
{'domains': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'original_id': Value(dtype='string', id=None), 'dataset': Value(dtype='string', id=None), 'turns': [{'dialogue_acts': {'binary': [{'domain': Value(dtype='string', id=None), 'intent': Value(dtype='string', id=None), 'slot': Value(dtype='string', id=None)}], 'categorical': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'non-categorical': [{'domain': Value(dtype='string', id=None), 'end': Value(dtype='int64', id=None), 'intent': Value(dtype='string', id=None), 'slot': Value(dtype='string', id=None), 'start': Value(dtype='int64', id=None), 'value': Value(dtype='string', id=None)}]}, 'speaker': Value(dtype='string', id=None), 'state': {'flights': {'airline': Value(dtype='string', id=None), 'date': Value(dtype='string', id=None), 'date.depart_intermediate': Value(dtype='string', id=None), 'date.depart_origin': Value(dtype='string', id=None), 'date.return': Value(dtype='string', id=None), 'destination1': Value(dtype='string', id=None), 'destination2': Value(dtype='string', id=None), 'fare': Value(dtype='string', id=None), 'flight_number': Value(dtype='string', id=None), 'from': Value(dtype='string', id=None), 'from.time': Value(dtype='string', id=None), 'luggage': Value(dtype='string', id=None), 'num.pax': Value(dtype='string', id=None), 'origin': Value(dtype='string', id=None), 'other_description': Value(dtype='string', id=None), 'price_range': Value(dtype='string', id=None), 'sea
...
scription': Value(dtype='string', id=None), 'phone': Value(dtype='string', id=None), 'price_range': Value(dtype='string', id=None), 'rating': Value(dtype='string', id=None), 'sub-location': Value(dtype='string', id=None), 'time.reservation': Value(dtype='string', id=None), 'type.food': Value(dtype='string', id=None), 'type.meal': Value(dtype='string', id=None), 'type.seating': Value(dtype='string', id=None)}, 'sports': {'date.match': Value(dtype='string', id=None), 'day.match': Value(dtype='string', id=None), 'name.non_player': Value(dtype='string', id=None), 'name.player': Value(dtype='string', id=None), 'name.team': Value(dtype='string', id=None), 'other_description.match': Value(dtype='string', id=None), 'other_description.person': Value(dtype='string', id=None), 'other_description.team': Value(dtype='string', id=None), 'place.team': Value(dtype='string', id=None), 'position.player': Value(dtype='string', id=None), 'record.games_ahead': Value(dtype='string', id=None), 'record.games_back': Value(dtype='string', id=None), 'record.player': Value(dtype='string', id=None), 'record.team': Value(dtype='string', id=None), 'result.match': Value(dtype='string', id=None), 'score.match': Value(dtype='string', id=None), 'time.match': Value(dtype='string', id=None), 'venue': Value(dtype='string', id=None)}}, 'utt_idx': Value(dtype='int64', id=None), 'utterance': Value(dtype='string', id=None)}], 'dialogue_id': Value(dtype='string', id=None), 'data_split': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'state', 'dialogue_acts', 'intents'}) and 5 missing columns ({'original_id', 'dataset', 'turns', 'dialogue_id', 'data_split'}).
This happened while the json dataset builder was generating data using
zip://data/ontology.json::/tmp/hf-datasets-cache/medium/datasets/73265727319914-config-parquet-and-info-ConvLab-tm2-6af003ce/downloads/48bf4295eec3e2c77555430f4552c0e16b91f5ae5db39c6f7d3b11c83437039b
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
domains
sequence | dataset
string | original_id
string | dialogue_id
string | turns
list | data_split
string |
|---|---|---|---|---|---|
[
"flights"
] | tm2 | dlg-00100680-00e0-40fe-8321-6d81b21bfc4f | tm2-train-0 | [
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 36,
"intent": "inform",
"slot": "type",
"start": 26,
"value": "round trip"
},
{
"domain": "flights",
"end": 81,
"intent": "inform",
"slot": "origin",
"start": 68,
"value": "San Francisco"
},
{
"domain": "flights",
"end": 91,
"intent": "inform",
"slot": "destination1",
"start": 85,
"value": "Denver"
}
]
},
"speaker": "user",
"state": {
"flights": {
"airline": "",
"date": "",
"date.depart_intermediate": "",
"date.depart_origin": "",
"date.return": "",
"destination1": "Denver",
"destination2": "",
"fare": "",
"flight_number": "",
"from": "",
"from.time": "",
"luggage": "",
"num.pax": "",
"origin": "San Francisco",
"other_description": "",
"price_range": "",
"seat_location": "",
"seating_class": "",
"stops": "",
"stops.location": "",
"time_of_day": "",
"to": "",
"to.time": "",
"total_fare": "",
"type": "round trip"
},
"food-ordering": null,
"hotels": null,
"movies": null,
"music": null,
"restaurant-search": null,
"sports": null
},
"utt_idx": 0,
"utterance": "Hello. I'd like to find a round trip commercial airline flight from San Francisco to Denver."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 40,
"intent": "inform",
"slot": "origin",
"start": 27,
"value": "San Francisco"
},
{
"domain": "flights",
"end": 50,
"intent": "inform",
"slot": "destination1",
"start": 44,
"value": "Denver"
}
]
},
"speaker": "system",
"state": null,
"utt_idx": 1,
"utterance": "Hello, how can I help you? San Francisco to Denver, got it."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": []
},
"speaker": "user",
"state": {
"flights": {
"airline": "",
"date": "",
"date.depart_intermediate": "",
"date.depart_origin": "",
"date.return": "",
"destination1": "Denver",
"destination2": "",
"fare": "",
"flight_number": "",
"from": "",
"from.time": "",
"luggage": "",
"num.pax": "",
"origin": "San Francisco",
"other_description": "",
"price_range": "",
"seat_location": "",
"seating_class": "",
"stops": "",
"stops.location": "",
"time_of_day": "",
"to": "",
"to.time": "",
"total_fare": "",
"type": "round trip"
},
"food-ordering": null,
"hotels": null,
"movies": null,
"music": null,
"restaurant-search": null,
"sports": null
},
"utt_idx": 2,
"utterance": "You're really on top of things. I like that."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": []
},
"speaker": "system",
"state": null,
"utt_idx": 3,
"utterance": "So what days are you looking to fly? Hey, what else can you say?"
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 62,
"intent": "inform",
"slot": "date.depart_origin",
"start": 57,
"value": "today"
},
{
"domain": "flights",
"end": 95,
"intent": "inform",
"slot": "date.return",
"start": 89,
"value": "4 days"
},
{
"domain": "flights",
"end": 169,
"intent": "inform",
"slot": "time_of_day",
"start": 155,
"value": "in the evening"
},
{
"domain": "flights",
"end": 179,
"intent": "inform",
"slot": "date.return",
"start": 173,
"value": "4 days"
},
{
"domain": "flights",
"end": 213,
"intent": "inform",
"slot": "destination1",
"start": 207,
"value": "Denver"
},
{
"domain": "flights",
"end": 246,
"intent": "inform",
"slot": "origin",
"start": 233,
"value": "San Francisco"
}
]
},
"speaker": "user",
"state": {
"flights": {
"airline": "",
"date": "",
"date.depart_intermediate": "",
"date.depart_origin": "today",
"date.return": "4 days",
"destination1": "Denver",
"destination2": "",
"fare": "",
"flight_number": "",
"from": "",
"from.time": "",
"luggage": "",
"num.pax": "",
"origin": "San Francisco",
"other_description": "",
"price_range": "",
"seat_location": "",
"seating_class": "",
"stops": "",
"stops.location": "",
"time_of_day": "in the evening",
"to": "",
"to.time": "",
"total_fare": "",
"type": "round trip"
},
"food-ordering": null,
"hotels": null,
"movies": null,
"music": null,
"restaurant-search": null,
"sports": null
},
"utt_idx": 4,
"utterance": "I'm looking to fly out sometime today, the earliest time today, and I'll be returning in 4 days. So, I would like to fly out sometime tonight and fly back in the evening in 4 days. From I'm looking to go to Denver. I'm flying out of San Francisco."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 92,
"intent": "inform",
"slot": "price_range",
"start": 88,
"value": "$337"
}
]
},
"speaker": "system",
"state": null,
"utt_idx": 5,
"utterance": "That sounds good, where you looking to go? That's right okay we have prices starting at $337."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 68,
"intent": "inform",
"slot": "stops",
"start": 61,
"value": "nonstop"
},
{
"domain": "flights",
"end": 110,
"intent": "inform",
"slot": "seat_location",
"start": 100,
"value": "aisle seat"
}
]
},
"speaker": "user",
"state": {
"flights": {
"airline": "",
"date": "",
"date.depart_intermediate": "",
"date.depart_origin": "today",
"date.return": "4 days",
"destination1": "Denver",
"destination2": "",
"fare": "",
"flight_number": "",
"from": "",
"from.time": "",
"luggage": "",
"num.pax": "",
"origin": "San Francisco",
"other_description": "",
"price_range": "$337",
"seat_location": "aisle seat",
"seating_class": "",
"stops": "nonstop",
"stops.location": "",
"time_of_day": "in the evening",
"to": "",
"to.time": "",
"total_fare": "",
"type": "round trip"
},
"food-ordering": null,
"hotels": null,
"movies": null,
"music": null,
"restaurant-search": null,
"sports": null
},
"utt_idx": 6,
"utterance": "That sounds very good. I just have two preferences. I want a nonstop flight. And I'd like to get an aisle seat."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 14,
"intent": "inform",
"slot": "stops",
"start": 6,
"value": "Non-Stop"
}
]
},
"speaker": "system",
"state": null,
"utt_idx": 7,
"utterance": "Okay, Non-Stop and if I heard you correctly did you say you wanted to leave as early as possible and also Nile C."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": []
},
"speaker": "user",
"state": {
"flights": {
"airline": "",
"date": "",
"date.depart_intermediate": "",
"date.depart_origin": "today",
"date.return": "4 days",
"destination1": "Denver",
"destination2": "",
"fare": "",
"flight_number": "",
"from": "",
"from.time": "",
"luggage": "",
"num.pax": "",
"origin": "San Francisco",
"other_description": "",
"price_range": "$337",
"seat_location": "aisle seat",
"seating_class": "",
"stops": "Non-Stop",
"stops.location": "",
"time_of_day": "in the evening",
"to": "",
"to.time": "",
"total_fare": "",
"type": "round trip"
},
"food-ordering": null,
"hotels": null,
"movies": null,
"music": null,
"restaurant-search": null,
"sports": null
},
"utt_idx": 8,
"utterance": "Yes."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 40,
"intent": "inform",
"slot": "airline",
"start": 34,
"value": "United"
},
{
"domain": "flights",
"end": 69,
"intent": "inform",
"slot": "from.time",
"start": 60,
"value": "9:20 p.m."
},
{
"domain": "flights",
"end": 85,
"intent": "inform",
"slot": "stops",
"start": 78,
"value": "nonstop"
},
{
"domain": "flights",
"end": 131,
"intent": "inform",
"slot": "other_description",
"start": 97,
"value": "duration is 2 hours and 28 minutes"
},
{
"domain": "flights",
"end": 153,
"intent": "inform",
"slot": "fare",
"start": 149,
"value": "$337"
}
]
},
"speaker": "system",
"state": null,
"utt_idx": 9,
"utterance": "Okay, you got it so it looks like United Airlines leaves at 9:20 p.m. that is nonstop the flight duration is 2 hours and 28 minutes and is priced at $337."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": []
},
"speaker": "user",
"state": {
"flights": {
"airline": "United",
"date": "",
"date.depart_intermediate": "",
"date.depart_origin": "today",
"date.return": "4 days",
"destination1": "Denver",
"destination2": "",
"fare": "$337",
"flight_number": "",
"from": "",
"from.time": "9:20 p.m.",
"luggage": "",
"num.pax": "",
"origin": "San Francisco",
"other_description": "duration is 2 hours and 28 minutes",
"price_range": "$337",
"seat_location": "aisle seat",
"seating_class": "",
"stops": "nonstop",
"stops.location": "",
"time_of_day": "in the evening",
"to": "",
"to.time": "",
"total_fare": "",
"type": "round trip"
},
"food-ordering": null,
"hotels": null,
"movies": null,
"music": null,
"restaurant-search": null,
"sports": null
},
"utt_idx": 10,
"utterance": "That sounds very good."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": []
},
"speaker": "system",
"state": null,
"utt_idx": 11,
"utterance": "Perfect."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 47,
"intent": "inform",
"slot": "time_of_day",
"start": 40,
"value": "evening"
},
{
"domain": "flights",
"end": 85,
"intent": "inform",
"slot": "date.return",
"start": 79,
"value": "4 days"
}
]
},
"speaker": "user",
"state": {
"flights": {
"airline": "United",
"date": "",
"date.depart_intermediate": "",
"date.depart_origin": "today",
"date.return": "4 days",
"destination1": "Denver",
"destination2": "",
"fare": "$337",
"flight_number": "",
"from": "",
"from.time": "9:20 p.m.",
"luggage": "",
"num.pax": "",
"origin": "San Francisco",
"other_description": "duration is 2 hours and 28 minutes",
"price_range": "$337",
"seat_location": "aisle seat",
"seating_class": "",
"stops": "nonstop",
"stops.location": "",
"time_of_day": "evening",
"to": "",
"to.time": "",
"total_fare": "",
"type": "round trip"
},
"food-ordering": null,
"hotels": null,
"movies": null,
"music": null,
"restaurant-search": null,
"sports": null
},
"utt_idx": 12,
"utterance": "And what time will I be I would like an evening flight on the return flight in 4 days. Does that include the return flight?"
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 18,
"intent": "inform",
"slot": "from.time",
"start": 9,
"value": "5:30 a.m."
}
]
},
"speaker": "system",
"state": null,
"utt_idx": 13,
"utterance": "How does 5:30 a.m. work?"
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 17,
"intent": "inform",
"slot": "time_of_day",
"start": 10,
"value": "evening"
}
]
},
"speaker": "user",
"state": {
"flights": {
"airline": "United",
"date": "",
"date.depart_intermediate": "",
"date.depart_origin": "today",
"date.return": "4 days",
"destination1": "Denver",
"destination2": "",
"fare": "$337",
"flight_number": "",
"from": "",
"from.time": "5:30 a.m.",
"luggage": "",
"num.pax": "",
"origin": "San Francisco",
"other_description": "duration is 2 hours and 28 minutes",
"price_range": "$337",
"seat_location": "aisle seat",
"seating_class": "",
"stops": "nonstop",
"stops.location": "",
"time_of_day": "evening",
"to": "",
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"utterance": "Well, the evening works better."
},
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"utterance": "Okay, got it. 6:55 p.m."
},
{
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"utt_idx": 16,
"utterance": "That works. That's very good."
},
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"utterance": "Alright, perfect so that is United Airlines as well."
},
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},
"utt_idx": 18,
"utterance": "Excellent. Thank you so much, assistant."
},
{
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"utterance": "Pleasure all mine. Enjoy your trip to Denver, have a great night. Your welcome."
},
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},
"utt_idx": 20,
"utterance": "I think I'm all set. Thank you so much."
}
] | train |
[
"flights"
] | tm2 | dlg-005d7a68-35ec-4ed0-a0ab-715a499b48b7 | tm2-train-1 | [
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"utterance": "Hi assistant, need help finding a flight from Houston to London."
},
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"utterance": "Okay, you got it."
},
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"utterance": "Need to fly out on July 2nd in the afternoon."
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"utterance": "And when would you like to come back?"
},
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"utterance": "I need to fly back July 7th. I need something cheap."
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"utt_idx": 6,
"utterance": "Let's go ahead and book that."
},
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"utterance": "All right you're all set, is that it?"
},
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},
"utt_idx": 8,
"utterance": "That's it. Thank you."
},
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"utterance": "My pleasure, take care, enjoy your flight. Have a great night."
},
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},
"utt_idx": 10,
"utterance": "Bye."
}
] | train |
[
"flights"
] | tm2 | dlg-006d8337-fc53-4aac-8895-b2f0caa14baa | tm2-train-2 | [
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"utterance": "Hi. How can I help you?"
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"utterance": "Hello. I need to take a trip to Albany, New York."
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"utterance": "Okay. I see that you're in Seattle right now. Is that where you want to fly out from to Albany?"
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"utterance": "Correct."
},
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"utterance": "What dates do you want to travel?"
},
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"value": "exactly in one week"
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"utterance": "I'd like to leave this Friday and return exactly in one week."
},
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"utterance": "Do you want to return on next Thursday or Friday?"
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"utt_idx": 7,
"utterance": "Friday morning."
},
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"utterance": "Okay, I will find a return flight on 19th morning."
},
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"utt_idx": 9,
"utterance": "Thank you. United Airlines, preferable."
},
{
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"utterance": "How many tickets do you need?"
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"utterance": "There are no direct flights in any class. I will look for the shortest layover for you."
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"utterance": "Thank you."
},
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"utterance": "Is there anything else you want me to look for?"
},
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"utterance": "I'll definitely need Wi-Fi on the flight, please. I'd like morning flights."
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"utterance": "Okay, is that it?"
},
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"utt_idx": 21,
"utterance": "Yes."
},
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"utterance": "I found you a 6 am flight with United Airlines. The cost of the ticket is $1,430. It has Wi-Fi, first class and has one stop for an hour and a half. The total flight time is 7 hours and 24 minutes. How does that sound?"
},
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"utterance": "That is beautiful. I think I'm going to go ahead and take that. And you'll book that for me?"
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"utterance": "I can. Do you want to know the return flight details first?"
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"utterance": "Yes, please."
},
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"utterance": "The return flight leaves at 10:20 am has one stop for 15 minutes and arrives back in Seattle at 3:36 pm. How does that work for you?"
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"utterance": "That's perfect. Thank you."
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"utterance": "Great. You're welcome. It's booked."
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"utterance": "And you'll send me the details to my email?"
},
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"utterance": "I will do that. It is done. Thank you."
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"utterance": "You're welcome. Thank you so much."
},
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"utterance": "Have a good flight."
}
] | train |
[
"flights"
] | tm2 | dlg-00754a9a-1b01-465d-adb9-5215a32d174d | tm2-train-3 | [
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"utterance": "I like to make a round-trip from Miami to Madrid."
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"utterance": "Miami to where?"
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"utterance": "M a d r i d."
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"utterance": "Oh, Madrid. When?"
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"utterance": "I'd like to leave today evening and return in 5 days."
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"utterance": "Okay, thank you."
}
] | train |
[
"flights"
] | tm2 | dlg-009c3fa1-6f6e-48dd-84c8-c52dbde6a4ae | tm2-train-4 | [
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"utterance": "Okay, perfect."
},
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"utterance": "The total price is $555. You are all set."
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},
"utt_idx": 13,
"utterance": "Thank you very much."
}
] | train |
[
"flights"
] | tm2 | dlg-00e32998-0b0f-47f1-a4f0-2ce90f1718d0 | tm2-train-5 | [
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"utterance": "Hi. I'm looking for a round-trip commercial airline flight. I got to get to a funeral. I'm going from San Francisco to Chicago."
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"utterance": "Okay, sorry to hear about the loss."
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"utterance": "Alright, that's perfect. What time does that leave, and what time does the return flight leave?"
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},
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"utterance": "Have a great night."
}
] | train |
[
"flights"
] | tm2 | dlg-011f951c-2231-4dca-a55b-4ef97e599e7e | tm2-train-6 | [
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},
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},
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},
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"utterance": "Perfect! did you want me to book this flight?"
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"utterance": "Thank you. I appreciate it."
},
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"utterance": "You're welcome. Enjoy your flight. Goodbye. Goodbye."
}
] | train |
[
"flights"
] | tm2 | dlg-019cbf4f-e4f4-40e5-b37d-e0d25be5d76a | tm2-train-7 | [
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"utterance": "Okay, So you want to go from Los Angeles to Las Vegas on April 1st and return on April 3rd. Is that correct?"
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"utterance": "What are your other preferences for the flight?"
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"utterance": "Okay, Got it. Anything else?"
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"utt_idx": 10,
"utterance": "That should do it."
},
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"utterance": "Hold on just a second. Hold on just a second. I found tickets that cost $79 and will be leaving at 7:50 PM and arrive at 8:53 PM This is Spirit Airlines and it is a nonstop flight."
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"utterance": "Okay, Is it for two adults?"
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"utterance": "Yes."
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"utterance": "The total ticket price is $157. Shall I book this for you now?"
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"utterance": "Yes, please."
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"utterance": "Aright. The return trip will be leaving at 7:58 PM. Enjoy your flight."
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"utterance": "All right, Thank you. Goodbye."
},
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}
] | train |
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"utt_idx": 7,
"utterance": "I'll choose that flight. That sounds good. Thank you."
}
] | train |
[
"flights"
] | tm2 | dlg-01d9b972-93b3-4e89-9eee-a460fa64d241 | tm2-train-9 | [
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"utterance": "Okay, from which airport in New York?"
},
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},
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"utterance": "I'll be leaving April the 14th."
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"utterance": "Okay."
},
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"utterance": "I'd like to leave in the morning before 10:00 A.M."
},
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},
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"utterance": "I'm looking for a dine for tonight."
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"utterance": "And I'd like to sit in coach."
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"utt_idx": 17,
"utterance": "And a flight with WiFi would be good."
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"utt_idx": 19,
"utterance": "That's all."
},
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"utterance": "Alright, up to how much for a non-stop flight?"
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"domain": "flights",
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"domain": "flights",
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"utterance": "There are flights with Delta, Virgin America, Jet blue and America. There are 3 times to fly with Delta 7 A.M, 8:10 A.M or 9:30 A.M."
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"utterance": "How about 7:00 A.M?"
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"utterance": "You will arrive in at 10:40 A.M."
},
{
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"utt_idx": 25,
"utterance": "Okay, that works for me."
},
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"value": "$209"
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]
},
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"utterance": "Total for this one way non-stop flight with delta is $209."
},
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"type": "one way"
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},
"utt_idx": 27,
"utterance": "Okay, perfect."
},
{
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"utt_idx": 28,
"utterance": "I'll send you the details."
},
{
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"type": "one way"
},
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},
"utt_idx": 29,
"utterance": "Thank you."
},
{
"dialogue_acts": {
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},
"speaker": "system",
"state": null,
"utt_idx": 30,
"utterance": "Goodbye."
}
] | train |
[
"flights"
] | tm2 | dlg-01ef3e7d-d895-409e-8d5c-eb5c1c285a80 | tm2-train-10 | [
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"utt_idx": 0,
"utterance": "Hello, how may I help you?"
},
{
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{
"domain": "flights",
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"value": "London"
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"utterance": "I would like help finding a flight to London."
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"value": "London"
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},
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"utt_idx": 2,
"utterance": "Okay, what dates will you be traveling to London?"
},
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"domain": "flights",
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"value": "August 1st"
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"intent": "inform",
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"value": "September 27th"
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"utt_idx": 3,
"utterance": "August 1st through September 27th."
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{
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"utt_idx": 4,
"utterance": "Do you have a specific class you would like to fly?"
},
{
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"domain": "flights",
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"intent": "inform",
"slot": "seating_class",
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"utt_idx": 5,
"utterance": "Business class."
},
{
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"utt_idx": 6,
"utterance": "Do you require any amenities on this light?"
},
{
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},
"utt_idx": 7,
"utterance": "No, I do not."
},
{
"dialogue_acts": {
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"domain": "flights",
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"intent": "inform",
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"value": "LAX"
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]
},
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"utt_idx": 8,
"utterance": "What time would you like to leave LAX?"
},
{
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},
"utt_idx": 9,
"utterance": "4:00 p.m."
},
{
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"value": "3:45 p.m"
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]
},
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"utt_idx": 10,
"utterance": "Let me check available flights. One second. I found a flight at 3:45 p.m. is that okay?"
},
{
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},
"utt_idx": 11,
"utterance": "Yes, that's fine."
},
{
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]
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"utt_idx": 12,
"utterance": "What time would you like to a return flight on September 27th?"
},
{
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},
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"utt_idx": 13,
"utterance": "10:00 a.m."
},
{
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"domain": "flights",
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},
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"utterance": "I found a flight departing at 10:10 a.m. is that okay?"
},
{
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},
"utt_idx": 15,
"utterance": "Yes, that's fine."
},
{
"dialogue_acts": {
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"utt_idx": 16,
"utterance": "Would you like to know the pricing for this flight?"
},
{
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},
"utt_idx": 17,
"utterance": "Yes."
},
{
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"intent": "inform",
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"value": "$3,707"
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]
},
"speaker": "system",
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"utt_idx": 18,
"utterance": "Pricing for this flight is $3,707."
},
{
"dialogue_acts": {
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},
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},
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"utterance": "No. I would not."
},
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},
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"utterance": "No."
},
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"utterance": "Okay, enjoy your trip."
}
] | train |
[
"flights"
] | tm2 | dlg-01ff0557-678d-4110-8768-ee7afbdcb2f2 | tm2-train-11 | [
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"utterance": "Hi Assistant. I need to find a round-trip, commercial, airline flight from Los Angeles to Chicago. Can you help me?"
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"utterance": "Oh, I would like to leave today and return in 5 days and I would like to leave as early as possible."
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"utterance": "Okay and what class would you prefer to fly in?"
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"utterance": "Sure, there is a nonstop flight leaving Los Angeles at 4:35 p.m. and arriving in Chicago at 10:43 p.m."
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"utterance": "Okay, that sounds great."
},
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"utterance": "Okay, let me check return flights for you."
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"utterance": "Thank you."
},
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"utterance": "Did you say you would prefer an early morning flight?"
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"utterance": "I would like to leave as early as possible. Yes."
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"utterance": "Okay, one moment please."
},
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"utterance": "Sure."
},
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"utterance": "There is a nonstop flight leaving Chicago at 6 a.m. and arriving in LA at 8:27 a.m."
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"utterance": "Okay, that sounds great. I need that flight for sure."
},
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"utterance": "Okay, great. I will book these flights for you."
},
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"utterance": "Thank you so much."
},
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"utterance": "You're welcome. I hope you enjoy your trip."
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"utterance": "Have a good night."
},
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"utterance": "You too. Good bye!"
},
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"utt_idx": 21,
"utterance": "Goodbye."
}
] | train |
[
"flights"
] | tm2 | dlg-01ff0a9f-8602-462a-affc-28039002fe80 | tm2-train-12 | [
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"utterance": "I'll take that one."
},
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"domain": "flights",
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"value": "Los Angeles"
},
{
"domain": "flights",
"end": 41,
"intent": "inform",
"slot": "to.time",
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"value": "1:30 PM"
},
{
"domain": "flights",
"end": 81,
"intent": "inform",
"slot": "fare",
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"value": "$8291"
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]
},
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"state": null,
"utt_idx": 31,
"utterance": "You will arrive in Los Angeles at 1:30 PM. Your total for this trip will be $8291. Is that okay?"
},
{
"dialogue_acts": {
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"categorical": [],
"non-categorical": []
},
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"utt_idx": 32,
"utterance": "Yes."
},
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"utt_idx": 33,
"utterance": "Okay. Anything else?"
},
{
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"categorical": [],
"non-categorical": []
},
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},
"utt_idx": 34,
"utterance": "Could you give me the flight numbers?"
},
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"dialogue_acts": {
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"value": "AA 6185"
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]
},
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"utt_idx": 35,
"utterance": "Yes. It's AA 6185. Is that all?"
},
{
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},
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"to": "Los Angeles",
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"type": "round trip"
},
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},
"utt_idx": 36,
"utterance": "That's all. Thank you."
},
{
"dialogue_acts": {
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},
"speaker": "system",
"state": null,
"utt_idx": 37,
"utterance": "Alright, goodbye. Enjoy your flight."
},
{
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},
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},
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},
"utt_idx": 38,
"utterance": "Alright."
}
] | train |
[
"flights"
] | tm2 | dlg-0202ef4d-5de8-441c-b66c-29521cea52b3 | tm2-train-13 | [
{
"dialogue_acts": {
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},
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"state": null,
"utt_idx": 0,
"utterance": "Hi. How can I help you?"
},
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{
"domain": "flights",
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"intent": "inform",
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"value": "Seattle, Washington"
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},
"utt_idx": 1,
"utterance": "I'd like help finding a flight to Seattle, Washington."
},
{
"dialogue_acts": {
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"domain": "flights",
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"value": "Seattle, Washington"
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{
"domain": "flights",
"end": 53,
"intent": "inform",
"slot": "origin",
"start": 45,
"value": "New York"
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]
},
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"state": null,
"utt_idx": 2,
"utterance": "Okay, a flight to Seattle, Washington. Which New York airport will you be departing from?"
},
{
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"domain": "flights",
"end": 43,
"intent": "inform",
"slot": "origin",
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"value": "New York airport"
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]
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"origin": "New York airport",
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"stops.location": "",
"time_of_day": "",
"to": "",
"to.time": "",
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"type": ""
},
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"hotels": null,
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},
"utt_idx": 3,
"utterance": "I would like to leave from New York airport."
},
{
"dialogue_acts": {
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"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 31,
"intent": "inform",
"slot": "origin",
"start": 6,
"value": "JFK International Airport"
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]
},
"speaker": "system",
"state": null,
"utt_idx": 4,
"utterance": "Okay. JFK International Airport departure is set."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
{
"domain": "flights",
"end": 40,
"intent": "inform",
"slot": "date.depart_origin",
"start": 27,
"value": "15th of March"
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{
"domain": "flights",
"end": 69,
"intent": "inform",
"slot": "date.return",
"start": 56,
"value": "20th of March"
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},
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"flight_number": "",
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"from.time": "",
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"type": ""
},
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},
"utt_idx": 5,
"utterance": "Okay. I'd like to leave on 15th of March and be back on 20th of March."
},
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"domain": "flights",
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"value": "March 15th"
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{
"domain": "flights",
"end": 62,
"intent": "inform",
"slot": "date.return",
"start": 52,
"value": "March 20th"
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"state": null,
"utt_idx": 6,
"utterance": "That was departure on March 15th and return date is March 20th, correct?"
},
{
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"categorical": [],
"non-categorical": []
},
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"type": ""
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},
"utt_idx": 7,
"utterance": "Yes."
},
{
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"domain": "flights",
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"intent": "inform",
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"domain": "flights",
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"intent": "inform",
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"value": "Seattle Washington"
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]
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"utt_idx": 8,
"utterance": "I have found few flights from JFK to Seattle Washington. Do you have any preferred time to depart?"
},
{
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"non-categorical": [
{
"domain": "flights",
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"intent": "inform",
"slot": "time_of_day",
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"value": "in the morning"
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]
},
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"to.time": "",
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"type": ""
},
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},
"utt_idx": 9,
"utterance": "I'd prefer to leave sometime in the morning."
},
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"dialogue_acts": {
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"domain": "flights",
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"intent": "inform",
"slot": "time_of_day",
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"value": "morning"
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]
},
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"state": null,
"utt_idx": 10,
"utterance": "Okay, morning flight departure is set."
},
{
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"domain": "flights",
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"intent": "inform",
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"value": "under $1,000"
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]
},
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"type": ""
},
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"utt_idx": 11,
"utterance": "I'd also like the price to be under $1,000."
},
{
"dialogue_acts": {
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"domain": "flights",
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},
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"state": null,
"utt_idx": 12,
"utterance": "Okay price point is less than $1,000 is set."
},
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"dialogue_acts": {
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"categorical": [],
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"domain": "flights",
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"intent": "inform",
"slot": "seating_class",
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"value": "economy"
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]
},
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"to.time": "",
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"type": ""
},
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},
"utt_idx": 13,
"utterance": "And I like economy seating."
},
{
"dialogue_acts": {
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"domain": "flights",
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"value": "economy class"
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]
},
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"state": null,
"utt_idx": 14,
"utterance": "Okay, economy class is set."
},
{
"dialogue_acts": {
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"domain": "flights",
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"value": "less than two layovers"
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]
},
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"type": ""
},
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},
"utt_idx": 15,
"utterance": "I'd also like there to be less than two layovers."
},
{
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"domain": "flights",
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"value": "non-stop"
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]
},
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"state": null,
"utt_idx": 16,
"utterance": "I have found two non-stop flights. Would you like the price for those?"
},
{
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"categorical": [],
"non-categorical": []
},
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"state": {
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"to.time": "",
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"type": ""
},
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},
"utt_idx": 17,
"utterance": "Yes."
},
{
"dialogue_acts": {
"binary": [],
"categorical": [],
"non-categorical": [
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"domain": "flights",
"end": 31,
"intent": "inform",
"slot": "from.time",
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"value": "7:15 a.m."
},
{
"domain": "flights",
"end": 48,
"intent": "inform",
"slot": "to",
"start": 41,
"value": "Seattle"
},
{
"domain": "flights",
"end": 62,
"intent": "inform",
"slot": "to.time",
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"value": "10:25 a.m."
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{
"domain": "flights",
"end": 71,
"intent": "inform",
"slot": "total_fare",
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"value": "$406"
},
{
"domain": "flights",
"end": 82,
"intent": "inform",
"slot": "type",
"start": 72,
"value": "round trip"
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]
},
"speaker": "system",
"state": null,
"utt_idx": 18,
"utterance": "One flight departs at 7:15 a.m. lands in Seattle at 10:25 a.m. for $406 round trip."
},
{
"dialogue_acts": {
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"categorical": [],
"non-categorical": []
},
"speaker": "user",
"state": {
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"type": "round trip"
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},
"utt_idx": 19,
"utterance": "Okay."
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"utterance": "Is there anything else I can help you with?"
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"utterance": "I will send you flight details to your email have a safe flight. See you later. Bye."
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"utterance": "Okay."
}
] | train |
[
"flights"
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"utt_idx": 16,
"utterance": "Thank you."
},
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"utterance": "You're welcome. Have a safe trip."
}
] | train |
End of preview.
YAML Metadata
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Dataset Card for Taskmaster-2
- Repository: https://github.com/google-research-datasets/Taskmaster/tree/master/TM-2-2020
- Paper: https://arxiv.org/pdf/1909.05358.pdf
- Leaderboard: None
- Who transforms the dataset: Qi Zhu(zhuq96 at gmail dot com)
To use this dataset, you need to install ConvLab-3 platform first. Then you can load the dataset via:
from convlab.util import load_dataset, load_ontology, load_database
dataset = load_dataset('tm2')
ontology = load_ontology('tm2')
database = load_database('tm2')
For more usage please refer to here.
Dataset Summary
The Taskmaster-2 dataset consists of 17,289 dialogs in the seven domains. Unlike Taskmaster-1, which includes both written "self-dialogs" and spoken two-person dialogs, Taskmaster-2 consists entirely of spoken two-person dialogs. In addition, while Taskmaster-1 is almost exclusively task-based, Taskmaster-2 contains a good number of search- and recommendation-oriented dialogs, as seen for example in the restaurants, flights, hotels, and movies verticals. The music browsing and sports conversations are almost exclusively search- and recommendation-based. All dialogs in this release were created using a Wizard of Oz (WOz) methodology in which crowdsourced workers played the role of a 'user' and trained call center operators played the role of the 'assistant'. In this way, users were led to believe they were interacting with an automated system that “spoke” using text-to-speech (TTS) even though it was in fact a human behind the scenes. As a result, users could express themselves however they chose in the context of an automated interface.
- How to get the transformed data from original data:
- Download master.zip.
- Run
python preprocess.pyin the current directory.
- Main changes of the transformation:
- Remove dialogs that are empty or only contain one speaker.
- Split each domain dialogs into train/validation/test randomly (8:1:1).
- Merge continuous turns by the same speaker (ignore repeated turns).
- Annotate
dialogue actsaccording to the original segment annotations. Addintentannotation (==inform). The type ofdialogue actis set tonon-categoricalif theslotis not inanno2slotinpreprocess.py). Otherwise, the type is set tobinary(and thevalueis empty). If there are multiple spans overlapping, we only keep the shortest one, since we found that this simple strategy can reduce the noise in annotation. - Add
domain,intent, andslotdescriptions. - Add
stateby accumulatenon-categorical dialogue actsin the order that they appear. - Keep the first annotation since each conversation was annotated by two workers.
- Annotations:
- dialogue acts, state.
Supported Tasks and Leaderboards
NLU, DST, Policy, NLG
Languages
English
Data Splits
| split | dialogues | utterances | avg_utt | avg_tokens | avg_domains | cat slot match(state) | cat slot match(goal) | cat slot match(dialogue act) | non-cat slot span(dialogue act) |
|---|---|---|---|---|---|---|---|---|---|
| train | 13838 | 234321 | 16.93 | 9.1 | 1 | - | - | - | 100 |
| validation | 1731 | 29349 | 16.95 | 9.15 | 1 | - | - | - | 100 |
| test | 1734 | 29447 | 16.98 | 9.07 | 1 | - | - | - | 100 |
| all | 17303 | 293117 | 16.94 | 9.1 | 1 | - | - | - | 100 |
7 domains: ['flights', 'food-ordering', 'hotels', 'movies', 'music', 'restaurant-search', 'sports']
- cat slot match: how many values of categorical slots are in the possible values of ontology in percentage.
- non-cat slot span: how many values of non-categorical slots have span annotation in percentage.
Citation
@inproceedings{byrne-etal-2019-taskmaster,
title = {Taskmaster-1:Toward a Realistic and Diverse Dialog Dataset},
author = {Bill Byrne and Karthik Krishnamoorthi and Chinnadhurai Sankar and Arvind Neelakantan and Daniel Duckworth and Semih Yavuz and Ben Goodrich and Amit Dubey and Kyu-Young Kim and Andy Cedilnik},
booktitle = {2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing},
address = {Hong Kong},
year = {2019}
}
Licensing Information
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