Speak or Stay Silent: Context-Aware Turn-Taking in Multi-Party Dialogue
Paper • 2603.11409 • Published
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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
decision_point_id: string
sequence_id: string
meeting_id: string
target_speaker: string
all_speakers: list<item: string>
child 0, item: string
turn_index: int64
turn_type: string
source: string
is_explicit: bool
inference_confidence: int64
context_turns: list<item: struct<speaker: string, text: string>>
child 0, item: struct<speaker: string, text: string>
child 0, speaker: string
child 1, text: string
current_turn: struct<speaker: string, text: string>
child 0, speaker: string
child 1, text: string
addressees_in_current: list<item: string>
child 0, item: string
target_is_addressed: bool
target_spoke_next: bool
decision: string
confidence: string
reason: string
category: string
num_context_turns: int64
num_query_words: int64
current_turn_text_length: int64
is_filler: bool
reasoning: string
to
{'decision_point_id': Value('string'), 'sequence_id': Value('string'), 'meeting_id': Value('string'), 'target_speaker': Value('string'), 'all_speakers': List(Value('string')), 'turn_index': Value('int64'), 'turn_type': Value('string'), 'source': Value('string'), 'is_explicit': Value('bool'), 'inference_confidence': Value('int64'), 'context_turns': List({'speaker': Value('string'), 'text': Value('string')}), 'current_turn': {'speaker': Value('string'), 'text': Value('string')}, 'addressees_in_current': List(Value('string')), 'target_is_addressed': Value('bool'), 'target_spoke_next': Value('bool'), 'decision': Value('string'), 'confidence': Value('string'), 'reason': Value('string'), 'category': Value('string'), 'num_context_turns': Value('int64'), 'num_query_words': Value('int64'), 'current_turn_text_length': Value('int64'), 'is_filler': Value('bool')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
decision_point_id: string
sequence_id: string
meeting_id: string
target_speaker: string
all_speakers: list<item: string>
child 0, item: string
turn_index: int64
turn_type: string
source: string
is_explicit: bool
inference_confidence: int64
context_turns: list<item: struct<speaker: string, text: string>>
child 0, item: struct<speaker: string, text: string>
child 0, speaker: string
child 1, text: string
current_turn: struct<speaker: string, text: string>
child 0, speaker: string
child 1, text: string
addressees_in_current: list<item: string>
child 0, item: string
target_is_addressed: bool
target_spoke_next: bool
decision: string
confidence: string
reason: string
category: string
num_context_turns: int64
num_query_words: int64
current_turn_text_length: int64
is_filler: bool
reasoning: string
to
{'decision_point_id': Value('string'), 'sequence_id': Value('string'), 'meeting_id': Value('string'), 'target_speaker': Value('string'), 'all_speakers': List(Value('string')), 'turn_index': Value('int64'), 'turn_type': Value('string'), 'source': Value('string'), 'is_explicit': Value('bool'), 'inference_confidence': Value('int64'), 'context_turns': List({'speaker': Value('string'), 'text': Value('string')}), 'current_turn': {'speaker': Value('string'), 'text': Value('string')}, 'addressees_in_current': List(Value('string')), 'target_is_addressed': Value('bool'), 'target_spoke_next': Value('bool'), 'decision': Value('string'), 'confidence': Value('string'), 'reason': Value('string'), 'category': Value('string'), 'num_context_turns': Value('int64'), 'num_query_words': Value('int64'), 'current_turn_text_length': Value('int64'), 'is_filler': Value('bool')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
decision_point_id string | sequence_id string | meeting_id string | target_speaker string | all_speakers list | turn_index int64 | turn_type string | source string | is_explicit bool | inference_confidence int64 | context_turns list | current_turn dict | addressees_in_current list | target_is_addressed bool | target_spoke_next bool | decision string | confidence string | reason string | category string | num_context_turns int64 | num_query_words int64 | current_turn_text_length int64 | is_filler bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IS1006b_seq1623_turn8_targetC | IS1006b_seq1623 | IS1006b | C | [
"B",
"C",
"D"
] | 8 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "Too complex ."
},
{
"speaker": "C",
"text": "no"
},
{
"speaker": "D",
"text": "But uh very very good to sell ."
},
{
"speaker": "C",
"text": "but but"
},
{
"speaker": "C",
"text": "Yeah ."
},
{
"speaker": "C",
"text": "No... | {
"speaker": "D",
"text": "Think of a all these young people who would love to say that this remote control only works for them ,"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_ref | 8 | 20 | 102 | false |
ES2009d_seq555_turn10_targetD | ES2009d_seq555 | ES2009d | D | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "C",
"text": "Think it was also realisation of you basically just copy and paste what's given to you into your presentation"
},
{
"speaker": "B",
"text": "Yeah ."
},
{
"speaker": "D",
"text": "Very much , yeah ."
},
{
"speaker": "C",
"text": "which uh wasn't ... | {
"speaker": "C",
"text": "I added like five slides too ,"
} | [
"A"
] | false | false | SILENT | high | C addressed A, not D (ground truth: did not speak) | SILENT_no_ref | 10 | 6 | 30 | false |
IS1003b_seq1163_turn7_targetA | IS1003b_seq1163 | IS1003b | A | [
"A",
"B",
"C"
] | 7 | context | explicit | true | 10 | [
{
"speaker": "C",
"text": "I think it's would be easier to have a link between the remote control and the television ,"
},
{
"speaker": "A",
"text": "Well"
},
{
"speaker": "A",
"text": "that's actually one of the point ,"
},
{
"speaker": "A",
"text": "yeah ?"
},
{
... | {
"speaker": "C",
"text": "So I will let you to do your presentation , so ."
} | [] | false | true | SPEAK | high | A spoke next in conversation (ground truth) | SPEAK_implicit | 7 | 10 | 48 | false |
IS1001b_seq909_turn2_targetA | IS1001b_seq909 | IS1001b | A | [
"A",
"B",
"C",
"D"
] | 2 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "Mm ."
},
{
"speaker": "D",
"text": "Mm ."
}
] | {
"speaker": "B",
"text": "And there are"
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_no_ref | 2 | 3 | 13 | false |
IS1000a_seq664_turn7_targetD | IS1000a_seq664 | IS1000a | D | [
"A",
"B",
"D"
] | 7 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "Um . A mouse ?"
},
{
"speaker": "B",
"text": "This looks likes a cat who has been driven over ."
},
{
"speaker": "A",
"text": "Okay ."
},
{
"speaker": "D",
"text": "Yeah ."
},
{
"speaker": "D",
"text": "And we should sum up its favou... | {
"speaker": "B",
"text": "Yes , the moustache ."
} | [] | false | true | SPEAK | high | D spoke next in conversation (ground truth) | SPEAK_implicit | 7 | 3 | 21 | false |
IS1001b_seq965_turn11_targetA | IS1001b_seq965 | IS1001b | A | [
"A",
"B",
"C",
"D"
] | 11 | response | explicit | true | 10 | [
{
"speaker": "D",
"text": "No no ."
},
{
"speaker": "A",
"text": "She send it to me by email ."
},
{
"speaker": "B",
"text": "Ah yeah . Mm ."
},
{
"speaker": "D",
"text": "I dunno , I dunno it ."
},
{
"speaker": "B",
"text": "Okay ."
},
{
"speaker": "A... | {
"speaker": "B",
"text": "At participant one . Okay ."
} | [] | false | true | SPEAK | high | A spoke next in conversation (ground truth) | SPEAK_implicit | 11 | 4 | 27 | false |
IS1001a_seq744_turn1_targetB | IS1001a_seq744 | IS1001a | B | [
"B",
"C",
"D"
] | 1 | context | explicit | true | 10 | [
{
"speaker": "D",
"text": "Do you know ?"
}
] | {
"speaker": "D",
"text": "It's a cat ."
} | [] | false | true | SPEAK | high | B spoke next in conversation (ground truth) | SPEAK_implicit | 1 | 4 | 12 | false |
ES2008b_seq116_turn10_targetA | ES2008b_seq116 | ES2008b | A | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "D",
"text": "so"
},
{
"speaker": "B",
"text": "No ."
},
{
"speaker": "A",
"text": "It"
},
{
"speaker": "A",
"text": "no ."
},
{
"speaker": "A",
"text": "W d could"
},
{
"speaker": "C",
"text": "Oh ,"
},
{
"speaker": "C",
"... | {
"speaker": "C",
"text": "I suppose it's kind of similar to a very very basic web browser ."
} | [
"D"
] | false | false | SILENT | high | C addressed D, not A (ground truth: did not speak) | SILENT_ref | 10 | 14 | 65 | false |
IS1006b_seq1667_turn10_targetD | IS1006b_seq1667 | IS1006b | D | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "D",
"text": "Speakers in the remote cont"
},
{
"speaker": "B",
"text": "Like , you want to find it , you shout"
},
{
"speaker": "D",
"text": "Oh yeah ."
},
{
"speaker": "B",
"text": "control ,"
},
{
"speaker": "A",
"text": "Uh yeah"
},
{
... | {
"speaker": "A",
"text": "Or maybe you want to phone him ."
} | [
"D",
"C",
"B"
] | true | true | SPEAK | high | D was explicitly addressed by A and spoke (ground truth) | SPEAK_explicit | 10 | 7 | 32 | false |
IS1001b_seq919_turn11_targetC | IS1001b_seq919 | IS1001b | C | [
"A",
"B",
"C",
"D"
] | 11 | response | explicit | true | 10 | [
{
"speaker": "A",
"text": "it should be very simple and most button are never used"
},
{
"speaker": "D",
"text": "Mm ."
},
{
"speaker": "A",
"text": "only ten per cent of the button are are used often"
},
{
"speaker": "A",
"text": "so I think we have to do something very ... | {
"speaker": "B",
"text": "Well if it's going to be as simple as possible then just have the remote control , there is no other function that I can see"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 11 | 26 | 124 | false |
IS1000a_seq650_turn0_targetC | IS1000a_seq650 | IS1000a | C | [
"A",
"B",
"C",
"D"
] | 0 | context | explicit | true | 10 | [] | {
"speaker": "A",
"text": "like a pet animal ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 0 | 4 | 19 | false |
IS1003d_inferred424_turn4_targetC | IS1003d_inferred424 | IS1003d | C | [
"A",
"B",
"C",
"D"
] | 4 | context | gemini_inferred | false | 8 | [
{
"speaker": "C",
"text": "Three ?"
},
{
"speaker": "B",
"text": "Yeah , b I think"
},
{
"speaker": "B",
"text": "Yeah ."
},
{
"speaker": "A",
"text": "We have hand dynamo ."
}
] | {
"speaker": "A",
"text": "So the case ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 4 | 3 | 13 | false |
ES2009d_seq517_turn11_targetC | ES2009d_seq517 | ES2009d | C | [
"A",
"B",
"C",
"D"
] | 11 | response | explicit | true | 10 | [
{
"speaker": "A",
"text": "did you guys ever used to build spaceships with Legos"
},
{
"speaker": "C",
"text": "Oh yeah ,"
},
{
"speaker": "D",
"text": "Yeah . Totally ."
},
{
"speaker": "C",
"text": "still have 'em ."
},
{
"speaker": "A",
"text": "everybody k... | {
"speaker": "A",
"text": "No I , no I dunno , I d I I dunno ,"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 11 | 10 | 35 | false |
TS3005b_seq2487_turn10_targetD | TS3005b_seq2487 | TS3005b | D | [
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "D",
"text": "Mm-hmm ."
},
{
"speaker": "B",
"text": "I think ."
},
{
"speaker": "D",
"text": "The most important things on a f on an on an uh remote control are channel selection , volume con selection ,"
},
{
"speaker": "B",
"text": "And"
},
{
"spea... | {
"speaker": "B",
"text": "But shouldn't you put a button of for teletext on the for the people who want to use it ?"
} | [
"D"
] | true | true | SPEAK | high | D was explicitly addressed by B and spoke (ground truth) | SPEAK_explicit | 10 | 20 | 89 | false |
ES2008b_seq132_turn1_targetC | ES2008b_seq132 | ES2008b | C | [
"A",
"B",
"C",
"D"
] | 1 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "We need to decide who our target group is ."
}
] | {
"speaker": "A",
"text": "You um in your analysis of different market um of the marketing , you identified that different groups wanted different things"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 1 | 20 | 126 | false |
IS1006b_seq1636_turn2_targetA | IS1006b_seq1636 | IS1006b | A | [
"A",
"B",
"C",
"D"
] | 2 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "Okay ."
},
{
"speaker": "B",
"text": "Um ."
}
] | {
"speaker": "C",
"text": "And then we can have channel they can say , okay I want eight ,"
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_ref | 2 | 13 | 63 | false |
ES2009d_seq494_turn0_targetD | ES2009d_seq494 | ES2009d | D | [
"A",
"B",
"C",
"D"
] | 0 | context | explicit | true | 10 | [] | {
"speaker": "B",
"text": "and kind of filled in the gaps enough ."
} | [] | false | true | SPEAK | high | D spoke next in conversation (ground truth) | SPEAK_implicit | 0 | 8 | 39 | false |
ES2008b_seq91_turn8_targetA | ES2008b_seq91 | ES2008b | A | [
"A",
"B",
"C",
"D"
] | 8 | context | explicit | true | 10 | [
{
"speaker": "C",
"text": "Uh that was just on the d on the company web site , yeah ."
},
{
"speaker": "D",
"text": "Okay ."
},
{
"speaker": "D",
"text": "'Cause I was like googling"
},
{
"speaker": "A",
"text": "Hmm ."
},
{
"speaker": "B",
"text": "Yeah ."
... | {
"speaker": "B",
"text": "how do I play again ?"
} | [] | false | true | SPEAK | high | A spoke next in conversation (ground truth) | SPEAK_implicit | 8 | 5 | 21 | false |
IS1001a_seq775_turn8_targetC | IS1001a_seq775 | IS1001a | C | [
"A",
"B",
"C"
] | 8 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "It's cool ."
},
{
"speaker": "B",
"text": "I think I like the idea ,"
},
{
"speaker": "B",
"text": "but I'm not sure about the what you ,"
},
{
"speaker": "B",
"text": "who is giving who's giving who's giving our budget . Who's"
},
{
"sp... | {
"speaker": "A",
"text": "Which is you ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_ref | 8 | 3 | 14 | false |
IS1003d_seq1378_turn14_targetC | IS1003d_seq1378 | IS1003d | C | [
"A",
"B",
"C",
"D"
] | 14 | continuation | explicit | true | 10 | [
{
"speaker": "B",
"text": "Oh"
},
{
"speaker": "D",
"text": "because with a traditional one you just have one hand ."
},
{
"speaker": "C",
"text": "You use your y"
},
{
"speaker": "A",
"text": "Yeah , but nobody would be able to take it in the pocket and bring it in the k... | {
"speaker": "A",
"text": "S maybe we can change from th"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_ref | 14 | 7 | 29 | false |
TS3005a_seq2317_turn2_targetC | TS3005a_seq2317 | TS3005a | C | [
"A",
"B",
"C",
"D"
] | 2 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "Uh . Well . Oh ."
},
{
"speaker": "C",
"text": "B"
}
] | {
"speaker": "D",
"text": "It's a mouse ."
} | [] | false | true | SPEAK | high | C spoke next in conversation (ground truth) | SPEAK_implicit | 2 | 4 | 14 | false |
IS1006b_seq1585_turn10_targetC | IS1006b_seq1585 | IS1006b | C | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "D",
"text": "And when does it turn off ?"
},
{
"speaker": "B",
"text": "When you don't touch the control"
},
{
"speaker": "B",
"text": "but you go out of the"
},
{
"speaker": "D",
"text": "Oh"
},
{
"speaker": "B",
"text": "For for enough time"
... | {
"speaker": "B",
"text": "And another nice feature that I would like to implement is uh volume control ."
} | [
"A",
"D",
"C"
] | true | false | SILENT | high | B addressed A, D, C, not C (ground truth: did not speak) | SILENT_no_ref | 10 | 14 | 78 | false |
IS1001b_seq827_turn10_targetA | IS1001b_seq827 | IS1001b | A | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "D",
"text": "Uh the buttons have are to be um uh uh like you say resist resisting to to shocks ."
},
{
"speaker": "A",
"text": "Okay ."
},
{
"speaker": "D",
"text": "Um and fifty per cents of users say they only use uh ten per cents of but of the buttons in the in the r... | {
"speaker": "D",
"text": "F not many buttons , and uh and uh uh u useable buttons ."
} | [
"A",
"C",
"B"
] | true | true | SPEAK | high | A was explicitly addressed by D and spoke (ground truth) | SPEAK_explicit | 10 | 12 | 57 | false |
ES2008a_seq49_turn11_targetC | ES2008a_seq49 | ES2008a | C | [
"A",
"C",
"D"
] | 11 | response | explicit | true | 10 | [
{
"speaker": "A",
"text": "um I guess kind of the same uh discussion that we've been having , we'll get from the actual consum s consumers ."
},
{
"speaker": "D",
"text": "Mm-hmm ."
},
{
"speaker": "A",
"text": "Mm 'kay um ."
},
{
"speaker": "A",
"text": "And you will get... | {
"speaker": "A",
"text": "I haven't gotten an agenda yet ,"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_ref | 11 | 7 | 32 | false |
ES2009d_seq391_turn8_targetA | ES2009d_seq391 | ES2009d | A | [
"A",
"B",
"C"
] | 8 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "it is"
},
{
"speaker": "B",
"text": "uh the entire thing is covered in a rubber coating"
},
{
"speaker": "B",
"text": "so it's very durable uh ,"
},
{
"speaker": "B",
"text": "it's not gonna break like some types of plastic that's dropped ."
}... | {
"speaker": "B",
"text": "I dunno if you noticed ,"
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_no_ref | 8 | 5 | 24 | false |
IS1003d_seq1367_turn9_targetB | IS1003d_seq1367 | IS1003d | B | [
"B",
"C",
"D"
] | 9 | context | explicit | true | 10 | [
{
"speaker": "C",
"text": "the smaller the the the so you can c you can c you can control the scale ."
},
{
"speaker": "D",
"text": "yeah ."
},
{
"speaker": "C",
"text": "But in the traditional controller , how do how can you control the scale ?"
},
{
"speaker": "D",
"tex... | {
"speaker": "C",
"text": "but you can also do it in the b if you you do not wa if you do not want to browsing all the channel you can just p there's also a button here ."
} | [] | false | true | SPEAK | high | B spoke next in conversation (ground truth) | SPEAK_implicit | 9 | 35 | 143 | false |
IS1008b_seq2084_turn10_targetB | IS1008b_seq2084 | IS1008b | B | [
"B",
"C"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "B",
"text": "That's why we're all here at the table ,"
},
{
"speaker": "B",
"text": "so that if we think of it and our research indicates certain things and um w we it's complementary ."
},
{
"speaker": "C",
"text": "Yeah ."
},
{
"speaker": "B",
"text": "I a... | {
"speaker": "C",
"text": "that's definitely a very important factor , especially to users who are gonna be buying the thing and then using it almost on an daily basis in a lot of cases , I think ."
} | [
"B"
] | true | true | SPEAK | high | B was explicitly addressed by C and spoke (ground truth) | SPEAK_explicit | 10 | 33 | 170 | false |
IS1003d_seq1430_turn1_targetD | IS1003d_seq1430 | IS1003d | D | [
"A",
"B",
"C",
"D"
] | 1 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "An but we have integrated scroll wheel with push dut button ."
}
] | {
"speaker": "A",
"text": "And I think this is one ."
} | [] | false | true | SPEAK | high | D spoke next in conversation (ground truth) | SPEAK_implicit | 1 | 6 | 25 | false |
IS1003d_seq1274_turn8_targetD | IS1003d_seq1274 | IS1003d | D | [
"A",
"B",
"C",
"D"
] | 8 | context | explicit | true | 10 | [
{
"speaker": "C",
"text": "Base ."
},
{
"speaker": "A",
"text": "In the basement . In the basement ."
},
{
"speaker": "C",
"text": "Here ?"
},
{
"speaker": "A",
"text": "And where is the solar solar cell ?"
},
{
"speaker": "D",
"text": "But we say uh we sa we ... | {
"speaker": "A",
"text": "Do you think it won't be It won't cris increase the price ?"
} | [] | false | false | SILENT | high | D did not speak next (ground truth) | SILENT_no_ref | 8 | 14 | 59 | false |
IS1003d_inferred431_turn12_targetD | IS1003d_inferred431 | IS1003d | D | [
"A",
"B",
"C",
"D"
] | 12 | continuation | gemini_inferred | false | 8 | [
{
"speaker": "A",
"text": "but we have you the the voice recognition ,"
},
{
"speaker": "D",
"text": "Yeah , if"
},
{
"speaker": "C",
"text": "Wait ."
},
{
"speaker": "D",
"text": "Yeah ."
},
{
"speaker": "D",
"text": "Double curved ."
},
{
"speaker": ... | {
"speaker": "B",
"text": "So it's yellow and very a very ha it's very happy , so ."
} | [] | false | true | SPEAK | high | D spoke next in conversation (ground truth) | SPEAK_implicit | 12 | 14 | 56 | false |
IS1003d_seq1256_turn10_targetC | IS1003d_seq1256 | IS1003d | C | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "C",
"text": "Mush"
},
{
"speaker": "B",
"text": "Yeah but it's not like really mushroom because you have uh you know uh like lemon shape , you know ,"
},
{
"speaker": "C",
"text": "Mushroom design , yeah ."
},
{
"speaker": "B",
"text": "centre is yellow and ... | {
"speaker": "B",
"text": "I hope nobody will eat it"
} | [
"A",
"D",
"C"
] | true | true | SPEAK | high | C was explicitly addressed by B and spoke (ground truth) | SPEAK_explicit | 10 | 6 | 25 | false |
IS1006b_seq1575_turn2_targetB | IS1006b_seq1575 | IS1006b | B | [
"A",
"B",
"C",
"D"
] | 2 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "Sure , sure ."
},
{
"speaker": "C",
"text": "Yeah ."
}
] | {
"speaker": "C",
"text": "Maybe it can be yeah middle of like , between those two"
} | [] | false | true | SPEAK | high | B spoke next in conversation (ground truth) | SPEAK_implicit | 2 | 11 | 55 | false |
IS1008b_seq2095_turn11_targetC | IS1008b_seq2095 | IS1008b | C | [
"B",
"C",
"D"
] | 11 | response | explicit | true | 10 | [
{
"speaker": "C",
"text": "and s if we spend that time and effort on features that we're not gonna use , maybe it's better to spend it on the f thinking more about features that we actually do want ,"
},
{
"speaker": "C",
"text": "but"
},
{
"speaker": "D",
"text": "Oh"
},
{
"... | {
"speaker": "B",
"text": "and , you know , we can't hang out here"
} | [] | false | true | SPEAK | high | C spoke next in conversation (ground truth) | SPEAK_implicit | 11 | 9 | 39 | false |
IS1003d_seq1390_turn1_targetB | IS1003d_seq1390 | IS1003d | B | [
"A",
"B",
"C",
"D"
] | 1 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "It need maybe some wo further work , but it's"
}
] | {
"speaker": "D",
"text": "Yeah , especially on the easy to use"
} | [] | false | true | SPEAK | high | B spoke next in conversation (ground truth) | SPEAK_implicit | 1 | 7 | 36 | false |
ES2009d_seq397_turn8_targetA | ES2009d_seq397 | ES2009d | A | [
"A",
"B",
"C",
"D"
] | 8 | context | explicit | true | 10 | [
{
"speaker": "C",
"text": "Um it's encased in a new uh type of uh"
},
{
"speaker": "D",
"text": "Oh okay ,"
},
{
"speaker": "D",
"text": "there's preservatives involved ,"
},
{
"speaker": "C",
"text": "polymer"
},
{
"speaker": "B",
"text": "Yeah ."
},
{
... | {
"speaker": "B",
"text": "We got a bit ahead of ourselves ,"
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_ref | 8 | 7 | 33 | false |
IS1001c_seq987_turn10_targetC | IS1001c_seq987 | IS1001c | C | [
"A",
"B",
"C"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "B",
"text": "Um"
},
{
"speaker": "B",
"text": "the I I just want to mention the the problem of the the r wheels sensor which is much more expensive than any push button ,"
},
{
"speaker": "A",
"text": "Okay ."
},
{
"speaker": "B",
"text": "and if we could re... | {
"speaker": "A",
"text": "You can easily find the button in the dark or so ?"
} | [
"C"
] | true | true | SPEAK | high | C was explicitly addressed by A and spoke (ground truth) | SPEAK_explicit | 10 | 11 | 50 | false |
IS1006b_seq1555_turn2_targetC | IS1006b_seq1555 | IS1006b | C | [
"A",
"B",
"C",
"D"
] | 2 | context | explicit | true | 10 | [
{
"speaker": "D",
"text": "I didn't have time"
},
{
"speaker": "D",
"text": "the meeting was very tight ,"
}
] | {
"speaker": "D",
"text": "so that's basically my findings ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 2 | 6 | 33 | false |
IS1001a_seq765_turn10_targetD | IS1001a_seq765 | IS1001a | D | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "B",
"text": "Mm ."
},
{
"speaker": "A",
"text": "With rou okay ."
},
{
"speaker": "A",
"text": "Like for okay ."
},
{
"speaker": "B",
"text": "Something like that , least fits in your hand ."
},
{
"speaker": "C",
"text": "Yeah ."
},
{
"sp... | {
"speaker": "A",
"text": "And also it have , i it may be it may be important for the remote control to be uh To , to resist to various shocks that can happen if it fall ."
} | [
"D",
"C",
"B"
] | true | false | SILENT | high | A addressed D, C, B, not D (ground truth: did not speak) | SILENT_no_ref | 10 | 31 | 144 | false |
IS1006b_seq1588_turn1_targetC | IS1006b_seq1588 | IS1006b | C | [
"B",
"C",
"D"
] | 1 | context | explicit | true | 10 | [
{
"speaker": "C",
"text": "Distance ."
}
] | {
"speaker": "B",
"text": "According to the distance ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_ref | 1 | 4 | 27 | false |
IS1001b_seq947_turn12_targetC | IS1001b_seq947 | IS1001b | C | [
"A",
"B",
"C"
] | 12 | continuation | explicit | true | 10 | [
{
"speaker": "A",
"text": "What is the expert of uh"
},
{
"speaker": "C",
"text": "Yeah ."
},
{
"speaker": "B",
"text": "The channels change one by one ."
},
{
"speaker": "C",
"text": "Yeah ."
},
{
"speaker": "B",
"text": "So you have to"
},
{
"speaker... | {
"speaker": "A",
"text": "That's a good idea ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 12 | 5 | 20 | false |
IS1000a_seq716_turn2_targetA | IS1000a_seq716 | IS1000a | A | [
"A",
"C",
"D"
] | 2 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "Mm ."
},
{
"speaker": "C",
"text": "Oh"
}
] | {
"speaker": "C",
"text": "in that case you can you always hook up with uh someone who is providing that"
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_ref | 2 | 16 | 77 | false |
IS1001b_seq939_turn13_targetC | IS1001b_seq939 | IS1001b | C | [
"A",
"B",
"C",
"D"
] | 13 | continuation | explicit | true | 10 | [
{
"speaker": "B",
"text": "Yeah when you zap usually you will have to press the same button all the time"
},
{
"speaker": "A",
"text": "Yeah ."
},
{
"speaker": "B",
"text": "and"
},
{
"speaker": "C",
"text": "Or we can do something like that ."
},
{
"speaker": "C"... | {
"speaker": "B",
"text": "I mean you know there is are some with a wheel like this ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_ref | 13 | 13 | 58 | false |
IS1003d_seq1291_turn11_targetA | IS1003d_seq1291 | IS1003d | A | [
"A",
"B",
"C",
"D"
] | 11 | response | explicit | true | 10 | [
{
"speaker": "D",
"text": "I dunno ."
},
{
"speaker": "A",
"text": "And you know , you have the finger here , with the buttons ?"
},
{
"speaker": "C",
"text": "Yeah ."
},
{
"speaker": "C",
"text": "Hmm ."
},
{
"speaker": "B",
"text": "That's uh yeah , is that"... | {
"speaker": "C",
"text": "Uh , for turn turn the ball ."
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_ref | 11 | 6 | 29 | false |
IS1006b_seq1540_turn0_targetD | IS1006b_seq1540 | IS1006b | D | [
"A",
"B",
"C",
"D"
] | 0 | context | explicit | true | 10 | [] | {
"speaker": "B",
"text": "No , I don't think so ."
} | [] | false | true | SPEAK | high | D spoke next in conversation (ground truth) | SPEAK_implicit | 0 | 6 | 23 | false |
ES2009d_seq483_turn1_targetD | ES2009d_seq483 | ES2009d | D | [
"A",
"B",
"C",
"D"
] | 1 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "That's very natural ."
}
] | {
"speaker": "A",
"text": "Very natural look ."
} | [] | false | true | SPEAK | high | D spoke next in conversation (ground truth) | SPEAK_implicit | 1 | 3 | 19 | false |
ES2009c_seq250_turn8_targetD | ES2009c_seq250 | ES2009c | D | [
"A",
"B",
"C",
"D"
] | 8 | context | explicit | true | 10 | [
{
"speaker": "D",
"text": "which actually might even come into play beforehand ,"
},
{
"speaker": "A",
"text": "Okay ,"
},
{
"speaker": "D",
"text": "it may help us decide for now . Temporarily anyway ."
},
{
"speaker": "A",
"text": "perfect ."
},
{
"speaker": "A"... | {
"speaker": "A",
"text": "so I guess that makes sense for you to take it from here ."
} | [] | false | true | SPEAK | high | D spoke next in conversation (ground truth) | SPEAK_implicit | 8 | 13 | 58 | false |
IS1001b_seq932_turn12_targetC | IS1001b_seq932 | IS1001b | C | [
"A",
"B",
"C",
"D"
] | 12 | continuation | explicit | true | 10 | [
{
"speaker": "B",
"text": "How should they how should we implement that ?"
},
{
"speaker": "B",
"text": "Because uh could be numerical only or could be also incremental ."
},
{
"speaker": "A",
"text": "Yeah ."
},
{
"speaker": "A",
"text": "Incremental definitely because z... | {
"speaker": "B",
"text": "you have if you press them for a long time"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_ref | 12 | 10 | 42 | false |
IS1008a_seq1992_turn1_targetA | IS1008a_seq1992 | IS1008a | A | [
"A",
"C",
"D"
] | 1 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "then we can have the further discussion again ."
}
] | {
"speaker": "C",
"text": "Uh are there other people who will be contributing to the plan ?"
} | [] | false | true | SPEAK | high | A spoke next in conversation (ground truth) | SPEAK_implicit | 1 | 12 | 64 | false |
ES2002c_inferred100_turn108_targetC | ES2002c_inferred100 | ES2002c | C | [
"A",
"B",
"C",
"D"
] | 108 | continuation | gemini_inferred | false | 7 | [
{
"speaker": "D",
"text": "because it's very hard and sort of glassy and glossy ,"
},
{
"speaker": "D",
"text": "Um and then so this is"
},
{
"speaker": "D",
"text": "I dunno like um"
},
{
"speaker": "D",
"text": "Yeah ."
},
{
"speaker": "B",
"text": "Great ."... | {
"speaker": "B",
"text": "Chip on print , is that that's an industrial design thing , is it David ?"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 108 | 14 | 73 | false |
TS3005a_seq2368_turn3_targetD | TS3005a_seq2368 | TS3005a | D | [
"B",
"C",
"D"
] | 3 | context | explicit | true | 10 | [
{
"speaker": "D",
"text": "Simplicity ."
},
{
"speaker": "C",
"text": "or the first one is broken ,"
},
{
"speaker": "D",
"text": "Yeah ."
}
] | {
"speaker": "C",
"text": "so uh uh perhaps they have a got a an older television ,"
} | [] | false | true | SPEAK | high | D spoke next in conversation (ground truth) | SPEAK_implicit | 3 | 12 | 56 | false |
IS1001b_seq796_turn0_targetB | IS1001b_seq796 | IS1001b | B | [
"A",
"B",
"C",
"D"
] | 0 | context | explicit | true | 10 | [] | {
"speaker": "A",
"text": "If you remember yeah"
} | [] | false | true | SPEAK | high | B spoke next in conversation (ground truth) | SPEAK_implicit | 0 | 4 | 20 | false |
IS1003d_seq1372_turn10_targetB | IS1003d_seq1372 | IS1003d | B | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "A",
"text": "And from ten to ten channels here ."
},
{
"speaker": "C",
"text": "Y one to ten , ten to twelve , uh ten to t uh twenty . Ten to twenty"
},
{
"speaker": "C",
"text": "and this one , t one two three four five six , like this ."
},
{
"speaker": "A",
... | {
"speaker": "C",
"text": "I i this is just a base ."
} | [
"A",
"D",
"B"
] | true | true | SPEAK | high | B was explicitly addressed by C and spoke (ground truth) | SPEAK_explicit | 10 | 7 | 25 | false |
IS1006b_seq1553_turn9_targetB | IS1006b_seq1553 | IS1006b | B | [
"A",
"B",
"D"
] | 9 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "Mm-mm . Okay ."
},
{
"speaker": "D",
"text": "this is of course ,"
},
{
"speaker": "D",
"text": "depends on that ."
},
{
"speaker": "D",
"text": "And um I don't have any conclusion ,"
},
{
"speaker": "D",
"text": "I didn't have time"... | {
"speaker": "A",
"text": "Mm I think it's good , okay . You done a good review ."
} | [] | false | true | SPEAK | high | B spoke next in conversation (ground truth) | SPEAK_implicit | 9 | 12 | 54 | false |
IS1001b_seq850_turn12_targetC | IS1001b_seq850 | IS1001b | C | [
"A",
"B",
"C",
"D"
] | 12 | continuation | explicit | true | 10 | [
{
"speaker": "A",
"text": "To have L_C_D_ and voice ."
},
{
"speaker": "D",
"text": "to have the"
},
{
"speaker": "D",
"text": "s yes"
},
{
"speaker": "D",
"text": "and speech recognition ."
},
{
"speaker": "D",
"text": "And uh and the others is not so importa... | {
"speaker": "A",
"text": "we have to take care of that point of view I think"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 12 | 12 | 50 | false |
IS1000a_seq617_turn9_targetC | IS1000a_seq617 | IS1000a | C | [
"B",
"C",
"D"
] | 9 | context | explicit | true | 10 | [
{
"speaker": "C",
"text": "Okay , and then ."
},
{
"speaker": "B",
"text": "So"
},
{
"speaker": "B",
"text": "we uh we will wait for Anna , a few minutes ."
},
{
"speaker": "C",
"text": "Yeah , s yeah , um ."
},
{
"speaker": "D",
"text": "Mm ."
},
{
"s... | {
"speaker": "D",
"text": "but the the mic should not"
} | [] | false | true | SPEAK | high | C spoke next in conversation (ground truth) | SPEAK_implicit | 9 | 6 | 26 | false |
IS1006b_seq1582_turn0_targetA | IS1006b_seq1582 | IS1006b | A | [
"A",
"B",
"D"
] | 0 | context | explicit | true | 10 | [] | {
"speaker": "B",
"text": "And let us include two nice features into this device ,"
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_no_ref | 0 | 10 | 55 | false |
IS1000a_seq648_turn10_targetA | IS1000a_seq648 | IS1000a | A | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "B",
"text": "Mm ."
},
{
"speaker": "A",
"text": "They're ears , by the way ."
},
{
"speaker": "C",
"text": "'s a cat ."
},
{
"speaker": "A",
"text": "No ."
},
{
"speaker": "A",
"text": "Um close though ."
},
{
"speaker": "A",
"text": ... | {
"speaker": "B",
"text": "It's like a cat ,"
} | [
"A"
] | true | true | SPEAK | high | A was explicitly addressed by B and spoke (ground truth) | SPEAK_explicit | 10 | 5 | 17 | false |
ES2009d_seq406_turn0_targetC | ES2009d_seq406 | ES2009d | C | [
"B",
"C",
"D"
] | 0 | context | explicit | true | 10 | [] | {
"speaker": "B",
"text": "Oh no , we haven't talked about that yet have we ?"
} | [] | false | true | SPEAK | high | C spoke next in conversation (ground truth) | SPEAK_implicit | 0 | 11 | 50 | false |
IS1001c_seq1074_turn4_targetC | IS1001c_seq1074 | IS1001c | C | [
"A",
"B",
"C",
"D"
] | 4 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "Uh what do you mean by case ?"
},
{
"speaker": "A",
"text": "I think it's the box that should be spongy , banana's shape ."
},
{
"speaker": "B",
"text": "Yeah ."
},
{
"speaker": "B",
"text": "Uh I mean for me if we use a a spongy banana case , d... | {
"speaker": "B",
"text": "I just want to have so something to prin to to fix my my components onto that box , and that's it ."
} | [] | false | true | SPEAK | high | C spoke next in conversation (ground truth) | SPEAK_implicit | 4 | 22 | 99 | false |
ES2009d_seq467_turn2_targetB | ES2009d_seq467 | ES2009d | B | [
"A",
"B",
"D"
] | 2 | context | explicit | true | 10 | [
{
"speaker": "D",
"text": "you're in charge"
},
{
"speaker": "D",
"text": "so"
}
] | {
"speaker": "D",
"text": "there you go ."
} | [] | false | false | SILENT | high | B did not speak next (ground truth) | SILENT_no_ref | 2 | 3 | 14 | false |
TS3005a_seq2301_turn10_targetC | TS3005a_seq2301 | TS3005a | C | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "A",
"text": "you can erase it with the eraser ,"
},
{
"speaker": "A",
"text": "but uh you shouldn't delete an entire page ,"
},
{
"speaker": "A",
"text": "but just create a new blank one ."
},
{
"speaker": "B",
"text": "Right ."
},
{
"speaker": "D",
... | {
"speaker": "A",
"text": "And you can also um let's see I think it's here uh change the uh colour of your pen ,"
} | [
"D",
"C",
"B"
] | true | true | SPEAK | high | C was explicitly addressed by A and spoke (ground truth) | SPEAK_explicit | 10 | 21 | 85 | false |
ES2008b_seq138_turn12_targetA | ES2008b_seq138 | ES2008b | A | [
"A",
"B",
"C",
"D"
] | 12 | continuation | explicit | true | 10 | [
{
"speaker": "B",
"text": "Mm-hmm ."
},
{
"speaker": "C",
"text": "Is it is it something that's gonna be sold separately from the television"
},
{
"speaker": "C",
"text": "or is it something that comes w with a television ?"
},
{
"speaker": "C",
"text": "'Cause that would... | {
"speaker": "D",
"text": "I dunno I'm gonna be given any other numbers broken down in terms of age later ,"
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_no_ref | 12 | 17 | 80 | false |
IS1001c_seq1045_turn10_targetD | IS1001c_seq1045 | IS1001c | D | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "A",
"text": "So I think it's a good aspect and it should be kept ."
},
{
"speaker": "C",
"text": "How do we make it look cool is the question ."
},
{
"speaker": "A",
"text": "Cool , fancy ?"
},
{
"speaker": "C",
"text": "Yeah ."
},
{
"speaker": "A",
... | {
"speaker": "C",
"text": "Well the obvious thing is a banana , I guess ."
} | [
"A",
"D",
"B"
] | true | true | SPEAK | high | D was explicitly addressed by C and spoke (ground truth) | SPEAK_explicit | 10 | 9 | 46 | false |
IS1008a_seq1973_turn9_targetA | IS1008a_seq1973 | IS1008a | A | [
"A",
"C",
"D"
] | 9 | context | explicit | true | 10 | [
{
"speaker": "D",
"text": "We'll have to simply we'll have to work on it together ."
},
{
"speaker": "A",
"text": "Mm-hmm ."
},
{
"speaker": "A",
"text": "Okay ,"
},
{
"speaker": "A",
"text": "so uh by when you think you can uh give me some kind of uh project plan , okay ... | {
"speaker": "C",
"text": "What is the goal of the project ?"
} | [] | false | true | SPEAK | high | A spoke next in conversation (ground truth) | SPEAK_implicit | 9 | 7 | 33 | false |
IS1003b_seq1122_turn12_targetA | IS1003b_seq1122 | IS1003b | A | [
"A",
"B",
"C",
"D"
] | 12 | continuation | explicit | true | 10 | [
{
"speaker": "B",
"text": "Yeah"
},
{
"speaker": "B",
"text": "you maybe you have some international standards ,"
},
{
"speaker": "B",
"text": "where you know , if you can use one is the other are or almost the same , so the sign ."
},
{
"speaker": "C",
"text": "Oh"
},
... | {
"speaker": "B",
"text": "you know that"
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_ref | 12 | 3 | 13 | false |
IS1001c_seq1067_turn0_targetC | IS1001c_seq1067 | IS1001c | C | [
"A",
"B",
"C",
"D"
] | 0 | context | explicit | true | 10 | [] | {
"speaker": "A",
"text": "Maybe we can keep the banana ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 0 | 6 | 30 | false |
IS1006b_seq1571_turn10_targetC | IS1006b_seq1571 | IS1006b | C | [
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "B",
"text": "but it's not from a T_V_ ,"
},
{
"speaker": "B",
"text": "it's from a much easier device like air conditioning or something ."
},
{
"speaker": "B",
"text": "But you know , we can use it for a T_V_ easily ."
},
{
"speaker": "B",
"text": "Only but... | {
"speaker": "D",
"text": "I would say the simplest one as long as there are the uh I find the buttons that I need every time I need a button ."
} | [
"B"
] | false | false | SILENT | high | D addressed B, not C (ground truth: did not speak) | SILENT_ref | 10 | 26 | 116 | false |
IS1003d_inferred391_turn31_targetA | IS1003d_inferred391 | IS1003d | A | [
"A",
"B",
"C",
"D"
] | 31 | continuation | gemini_inferred | false | 7 | [
{
"speaker": "C",
"text": "'Kay"
},
{
"speaker": "D",
"text": "'Kay ,"
},
{
"speaker": "A",
"text": "And in case"
},
{
"speaker": "C",
"text": "Yep ."
},
{
"speaker": "B",
"text": "Okay ."
},
{
"speaker": "A",
"text": "Maybe , I hope so ."
},
{... | {
"speaker": "D",
"text": "So you have"
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_ref | 31 | 3 | 11 | false |
IS1001a_seq731_turn12_targetA | IS1001a_seq731 | IS1001a | A | [
"A",
"B"
] | 12 | continuation | explicit | true | 10 | [
{
"speaker": "B",
"text": "Original ."
},
{
"speaker": "A",
"text": "Is recorded ? Okay ?"
},
{
"speaker": "A",
"text": "Okay so welcome everyone ."
},
{
"speaker": "A",
"text": "So we are here for the kickoff meeting of uh the process of designing a new remote control ."... | {
"speaker": "B",
"text": "It's true ."
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_ref | 12 | 3 | 11 | false |
ES2002c_inferred201_turn0_targetC | ES2002c_inferred201 | ES2002c | C | [
"A",
"B",
"C",
"D"
] | 0 | context | gemini_inferred | false | 8 | [] | {
"speaker": "B",
"text": "I know we're gonna have like rubber buttons"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 0 | 9 | 43 | false |
IS1001b_seq780_turn11_targetC | IS1001b_seq780 | IS1001b | C | [
"A",
"B",
"C",
"D"
] | 11 | continuation | explicit | true | 10 | [
{
"speaker": "C",
"text": "Okay ."
},
{
"speaker": "A",
"text": "Okay everyone's ready ."
},
{
"speaker": "B",
"text": "Hello ."
},
{
"speaker": "A",
"text": "So we are here for uh for uh functional design ."
},
{
"speaker": "A",
"text": "Okay ?"
},
{
... | {
"speaker": "A",
"text": "so user requirement specification , technical function design and working design ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 11 | 10 | 82 | false |
IS1001b_seq893_turn9_targetA | IS1001b_seq893 | IS1001b | A | [
"A",
"B",
"C",
"D"
] | 9 | context | explicit | true | 10 | [
{
"speaker": "C",
"text": "Usually this is less tha at two dollars per chip ."
},
{
"speaker": "B",
"text": "Okay ."
},
{
"speaker": "A",
"text": "Because we are"
},
{
"speaker": "B",
"text": "So you have any idea for a powerful one that has uh good enough for do speech r... | {
"speaker": "B",
"text": "No it doesn't ."
} | [] | false | true | SPEAK | high | A spoke next in conversation (ground truth) | SPEAK_implicit | 9 | 4 | 15 | false |
IS1001b_seq813_turn9_targetB | IS1001b_seq813 | IS1001b | B | [
"A",
"B",
"D"
] | 9 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "Maybe you can s"
},
{
"speaker": "A",
"text": "It's"
},
{
"speaker": "D",
"text": "Uh in"
},
{
"speaker": "D",
"text": "yeah okay ."
},
{
"speaker": "A",
"text": "Messenger no ?"
},
{
"speaker": "D",
"text": "No ."
},
... | {
"speaker": "A",
"text": "In which folder ?"
} | [] | false | true | SPEAK | high | B spoke next in conversation (ground truth) | SPEAK_implicit | 9 | 3 | 17 | false |
IS1003d_seq1274_turn12_targetA | IS1003d_seq1274 | IS1003d | A | [
"A",
"B",
"C",
"D"
] | 12 | continuation | explicit | true | 10 | [
{
"speaker": "C",
"text": "Base ."
},
{
"speaker": "A",
"text": "In the basement . In the basement ."
},
{
"speaker": "C",
"text": "Here ?"
},
{
"speaker": "A",
"text": "And where is the solar solar cell ?"
},
{
"speaker": "D",
"text": "But we say uh we sa we ... | {
"speaker": "B",
"text": "but it it's might be okay , so ."
} | [] | false | true | SPEAK | high | A spoke next in conversation (ground truth) | SPEAK_implicit | 12 | 8 | 32 | false |
IS1003d_inferred390_turn4_targetC | IS1003d_inferred390 | IS1003d | C | [
"A",
"C",
"D"
] | 4 | response | gemini_inferred | false | 7 | [
{
"speaker": "C",
"text": "'Kay"
},
{
"speaker": "D",
"text": "'Kay ,"
},
{
"speaker": "A",
"text": "And in case"
},
{
"speaker": "C",
"text": "Yep ."
}
] | {
"speaker": "A",
"text": "Maybe , I hope so ."
} | [] | false | true | SPEAK | high | C spoke next in conversation (ground truth) | SPEAK_implicit | 4 | 4 | 19 | false |
IS1003d_seq1404_turn8_targetC | IS1003d_seq1404 | IS1003d | C | [
"A",
"B",
"C",
"D"
] | 8 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "just keep on going , just to have an idea ."
},
{
"speaker": "C",
"text": "The solar cell is too expensive ."
},
{
"speaker": "D",
"text": "Yeah ."
},
{
"speaker": "B",
"text": "Is Yes a wooden pl I and that's"
},
{
"speaker": "B",
"... | {
"speaker": "A",
"text": "I think it's more like double curved ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 8 | 8 | 38 | false |
TS3005a_seq2301_turn6_targetB | TS3005a_seq2301 | TS3005a | B | [
"A",
"B",
"C",
"D"
] | 6 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "you can erase it with the eraser ,"
},
{
"speaker": "A",
"text": "but uh you shouldn't delete an entire page ,"
},
{
"speaker": "A",
"text": "but just create a new blank one ."
},
{
"speaker": "B",
"text": "Right ."
},
{
"speaker": "D",
... | {
"speaker": "A",
"text": "because we don't use it yet ."
} | [] | false | true | SPEAK | high | B spoke next in conversation (ground truth) | SPEAK_implicit | 6 | 7 | 29 | false |
IS1001b_seq919_turn10_targetB | IS1001b_seq919 | IS1001b | B | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "A",
"text": "it should be very simple and most button are never used"
},
{
"speaker": "D",
"text": "Mm ."
},
{
"speaker": "A",
"text": "only ten per cent of the button are are used often"
},
{
"speaker": "A",
"text": "so I think we have to do something very ... | {
"speaker": "A",
"text": "So yeah the key point here is simple ."
} | [
"D",
"C",
"B"
] | true | true | SPEAK | high | B was explicitly addressed by A and spoke (ground truth) | SPEAK_explicit | 10 | 8 | 38 | false |
IS1000a_seq621_turn0_targetC | IS1000a_seq621 | IS1000a | C | [
"A",
"B",
"C",
"D"
] | 0 | context | explicit | true | 10 | [] | {
"speaker": "D",
"text": "Can't help you with that ."
} | [] | false | true | SPEAK | high | C spoke next in conversation (ground truth) | SPEAK_implicit | 0 | 6 | 26 | false |
IS1000a_seq669_turn7_targetD | IS1000a_seq669 | IS1000a | D | [
"A",
"B",
"C",
"D"
] | 7 | context | explicit | true | 10 | [
{
"speaker": "D",
"text": "it's a shark ,"
},
{
"speaker": "D",
"text": "yeah ."
},
{
"speaker": "B",
"text": "Oh ,"
},
{
"speaker": "B",
"text": "yes , why not ?"
},
{
"speaker": "B",
"text": "Good idea ."
},
{
"speaker": "C",
"text": "Ah"
},
... | {
"speaker": "C",
"text": "you know it's going to eat the cat rather than the cat eating the fish , no ?"
} | [] | false | false | SILENT | high | D did not speak next (ground truth) | SILENT_no_ref | 7 | 17 | 77 | false |
ES2009d_seq544_turn8_targetD | ES2009d_seq544 | ES2009d | D | [
"A",
"B",
"C",
"D"
] | 8 | context | explicit | true | 10 | [
{
"speaker": "D",
"text": "It's still gotta be technically car shaped"
},
{
"speaker": "A",
"text": "you can"
},
{
"speaker": "D",
"text": "or it won't fit on the road ,"
},
{
"speaker": "D",
"text": "you know ?"
},
{
"speaker": "A",
"text": "Yeah ."
},
{
... | {
"speaker": "C",
"text": "What is that ? Our limited ability to think outside the box ?"
} | [] | false | true | SPEAK | high | D spoke next in conversation (ground truth) | SPEAK_implicit | 8 | 11 | 61 | false |
IS1000a_seq678_turn0_targetD | IS1000a_seq678 | IS1000a | D | [
"B",
"C",
"D"
] | 0 | context | explicit | true | 10 | [] | {
"speaker": "B",
"text": "Let's continue to uh to the real stuff ."
} | [] | false | true | SPEAK | high | D spoke next in conversation (ground truth) | SPEAK_implicit | 0 | 9 | 40 | false |
ES2002c_seq1_turn682_targetC | ES2002c_seq1 | ES2002c | C | [
"A",
"B",
"C",
"D"
] | 682 | continuation | explicit | true | 10 | [
{
"speaker": "B",
"text": "Okay , well"
},
{
"speaker": "D",
"text": "It kinda does make sense , doesn't it ,"
},
{
"speaker": "D",
"text": "because when we get into the end of meeting we're kind of talking about action and design as opposed to background ."
},
{
"speaker": "... | {
"speaker": "B",
"text": "I don't know if there is really ,"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 682 | 8 | 33 | false |
ES2002c_seq1_turn109_targetC | ES2002c_seq1 | ES2002c | C | [
"A",
"B",
"C",
"D"
] | 109 | continuation | explicit | true | 10 | [
{
"speaker": "B",
"text": "Okay , well"
},
{
"speaker": "D",
"text": "It kinda does make sense , doesn't it ,"
},
{
"speaker": "D",
"text": "because when we get into the end of meeting we're kind of talking about action and design as opposed to background ."
},
{
"speaker": "... | {
"speaker": "D",
"text": "And when I first saw that I thought hmm , well do we want to actually try and think about this trend and how we add something to it ,"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 109 | 28 | 133 | false |
ES2008b_seq117_turn0_targetD | ES2008b_seq117 | ES2008b | D | [
"A",
"B",
"C",
"D"
] | 0 | context | explicit | true | 10 | [] | {
"speaker": "A",
"text": "W d could"
} | [] | false | false | SILENT | high | D did not speak next (ground truth) | SILENT_ref | 0 | 3 | 9 | false |
IS1003b_seq1104_turn10_targetD | IS1003b_seq1104 | IS1003b | D | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "C",
"text": "you're"
},
{
"speaker": "D",
"text": "One ."
},
{
"speaker": "C",
"text": "No ,"
},
{
"speaker": "C",
"text": "I'm participant one ."
},
{
"speaker": "B",
"text": "Three three , it's three"
},
{
"speaker": "B",
"text": "s... | {
"speaker": "C",
"text": "did you save your presentation ?"
} | [
"D"
] | true | true | SPEAK | high | D was explicitly addressed by C and spoke (ground truth) | SPEAK_explicit | 10 | 5 | 32 | false |
ES2002a_inferred23_turn1_targetA | ES2002a_inferred23 | ES2002a | A | [
"A",
"B",
"D"
] | 1 | context | gemini_inferred | false | 9 | [
{
"speaker": "A",
"text": "and I kind of like whales ."
}
] | {
"speaker": "B",
"text": "God , I still don't know what I'm gonna write about ."
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_ref | 1 | 12 | 53 | false |
ES2008a_seq55_turn4_targetC | ES2008a_seq55 | ES2008a | C | [
"A",
"B",
"C"
] | 4 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "'Kay ."
},
{
"speaker": "C",
"text": "Yep ."
},
{
"speaker": "B",
"text": "I'm sure we'll be busy ."
},
{
"speaker": "A",
"text": "Mm 'kay um"
}
] | {
"speaker": "A",
"text": "I'll type up mi minutes"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 4 | 6 | 23 | false |
IS1001a_seq752_turn11_targetB | IS1001a_seq752 | IS1001a | B | [
"A",
"B",
"C"
] | 11 | response | explicit | true | 10 | [
{
"speaker": "B",
"text": "He looks like a bong ."
},
{
"speaker": "A",
"text": "Like a what ?"
},
{
"speaker": "B",
"text": "Okay ."
},
{
"speaker": "B",
"text": "Sorry ."
},
{
"speaker": "B",
"text": "No ."
},
{
"speaker": "C",
"text": "Quite squ... | {
"speaker": "A",
"text": "Okay so I hope that it helps you uh in the process of designing a remote control ."
} | [] | false | true | SPEAK | high | B spoke next in conversation (ground truth) | SPEAK_implicit | 11 | 17 | 82 | false |
IS1003d_seq1394_turn13_targetC | IS1003d_seq1394 | IS1003d | C | [
"A",
"B",
"C",
"D"
] | 13 | continuation | explicit | true | 10 | [
{
"speaker": "A",
"text": "And if not if it's not the case y you would have to redesign it ."
},
{
"speaker": "B",
"text": "Oh yeah ."
},
{
"speaker": "C",
"text": "Yeah ."
},
{
"speaker": "A",
"text": "So , just have a look at the okay here is the"
},
{
"speaker"... | {
"speaker": "B",
"text": "um solar cells , yeah ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 13 | 4 | 23 | false |
ES2008b_seq121_turn12_targetC | ES2008b_seq121 | ES2008b | C | [
"A",
"B",
"C",
"D"
] | 12 | continuation | explicit | true | 10 | [
{
"speaker": "C",
"text": "news headlines ."
},
{
"speaker": "B",
"text": "But if you ever see the T_V_ saying like go to page one sixty on Ceefax now , that's what they're talking about ."
},
{
"speaker": "A",
"text": "How ?"
},
{
"speaker": "D",
"text": "Oh ."
},
{
... | {
"speaker": "A",
"text": "Okay um , well ,"
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 12 | 3 | 16 | false |
IS1001b_seq921_turn10_targetB | IS1001b_seq921 | IS1001b | B | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "B",
"text": "Well if it is going to be just a T_V_ remote control it is going to be very simple ."
},
{
"speaker": "A",
"text": "Yeah okay ."
},
{
"speaker": "A",
"text": "So yeah the key point here is simple ."
},
{
"speaker": "A",
"text": "Maybe ."
},
... | {
"speaker": "A",
"text": "Maybe switch T_V_ on and off"
} | [
"D",
"C",
"B"
] | true | true | SPEAK | high | B was explicitly addressed by A and spoke (ground truth) | SPEAK_explicit | 10 | 6 | 28 | false |
ES2009c_seq336_turn1_targetA | ES2009c_seq336 | ES2009c | A | [
"A",
"B",
"C",
"D"
] | 1 | context | explicit | true | 10 | [
{
"speaker": "D",
"text": "Mm-hmm ."
}
] | {
"speaker": "B",
"text": "because we need to escape the traditional shape of a remote ."
} | [] | false | true | SPEAK | high | A spoke next in conversation (ground truth) | SPEAK_implicit | 1 | 11 | 61 | false |
ES2008b_seq142_turn10_targetD | ES2008b_seq142 | ES2008b | D | [
"A",
"B",
"C",
"D"
] | 10 | addressing | explicit | true | 10 | [
{
"speaker": "A",
"text": "those are"
},
{
"speaker": "A",
"text": "that's all specific for speech recognition ."
},
{
"speaker": "A",
"text": "Are we gonna use that as one of our functions ?"
},
{
"speaker": "C",
"text": "Um ."
},
{
"speaker": "B",
"text": "M... | {
"speaker": "C",
"text": "we've got a price limit of was it twelve twelve and a half Euros for to produce it ?"
} | [
"A",
"D",
"B"
] | true | false | SILENT | high | C addressed A, D, B, not D (ground truth: did not speak) | SILENT_no_ref | 10 | 19 | 84 | false |
ES2009d_seq570_turn9_targetD | ES2009d_seq570 | ES2009d | D | [
"A",
"B",
"C",
"D"
] | 9 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "I don't"
},
{
"speaker": "B",
"text": "we kind of designed it to look little bit like a face ."
},
{
"speaker": "D",
"text": "I know it is ."
},
{
"speaker": "A",
"text": "Yeah but"
},
{
"speaker": "B",
"text": "It's a happy face ."
... | {
"speaker": "C",
"text": "I hope you appreciate the uh incorporation of some tin foil from a uh random Kit-Kat bar"
} | [] | false | true | SPEAK | high | D spoke next in conversation (ground truth) | SPEAK_implicit | 9 | 18 | 88 | false |
ES2008b_seq204_turn8_targetC | ES2008b_seq204 | ES2008b | C | [
"A",
"B",
"C"
] | 8 | context | explicit | true | 10 | [
{
"speaker": "B",
"text": "Yeah ."
},
{
"speaker": "C",
"text": "I dunno if you can"
},
{
"speaker": "A",
"text": "Just 'cause it is an electronic device ,"
},
{
"speaker": "A",
"text": "the"
},
{
"speaker": "C",
"text": "Yeah ."
},
{
"speaker": "B",
... | {
"speaker": "B",
"text": "I don't I don't think of a way you can operate a chip and convert that much data without without one ."
} | [] | false | true | SPEAK | high | C spoke next in conversation (ground truth) | SPEAK_implicit | 8 | 23 | 102 | false |
ES2002a_inferred0_turn68_targetC | ES2002a_inferred0 | ES2002a | C | [
"A",
"B",
"C",
"D"
] | 68 | continuation | gemini_inferred | false | 10 | [
{
"speaker": "B",
"text": "Okay"
},
{
"speaker": "B",
"text": "Um so first of all , just to kind of make sure that we all know each other ,"
},
{
"speaker": "D",
"text": "And I'm Andrew and I'm uh our marketing"
},
{
"speaker": "B",
"text": "so we're designing a new remot... | {
"speaker": "B",
"text": "so y you know what you're doing there ."
} | [] | false | false | SILENT | high | C did not speak next (ground truth) | SILENT_no_ref | 68 | 9 | 39 | false |
IS1006b_seq1652_turn9_targetC | IS1006b_seq1652 | IS1006b | C | [
"A",
"B",
"C",
"D"
] | 9 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "Wouldn't that make uh arguments ?"
},
{
"speaker": "C",
"text": "They can make"
},
{
"speaker": "D",
"text": "Yeah , of course ."
},
{
"speaker": "A",
"text": "I want uh"
},
{
"speaker": "D",
"text": "That's no problem , we will sell... | {
"speaker": "A",
"text": "y you can buy one with"
} | [] | false | true | SPEAK | high | C spoke next in conversation (ground truth) | SPEAK_implicit | 9 | 6 | 22 | false |
IS1001a_seq735_turn6_targetB | IS1001a_seq735 | IS1001a | B | [
"A",
"B"
] | 6 | context | explicit | true | 10 | [
{
"speaker": "A",
"text": "so to have an advantage over our competitors we have to be original , we have to be trendy and we have to also try to be user-friendly ."
},
{
"speaker": "A",
"text": "So uh the design step will be divided in three uh main points ."
},
{
"speaker": "A",
"te... | {
"speaker": "A",
"text": "And then we will move to f conceptual design where we'll specify the different component involved , what kind of user interf interface we want and what are the different uh trend in user interface and stuff like that ."
} | [] | false | false | SILENT | high | B did not speak next (ground truth) | SILENT_no_ref | 6 | 39 | 218 | false |
ES2009c_seq292_turn11_targetA | ES2009c_seq292 | ES2009c | A | [
"A",
"B",
"C",
"D"
] | 11 | response | explicit | true | 10 | [
{
"speaker": "A",
"text": "we're gonna make"
},
{
"speaker": "A",
"text": "I mean we we're not talking about selling eight zillion of these things ,"
},
{
"speaker": "A",
"text": "we just couldn't , not for twenty-five Euros ,"
},
{
"speaker": "D",
"text": "Right ."
},
... | {
"speaker": "C",
"text": "I'm thinking that's uh definitely a good idea"
} | [] | false | false | SILENT | high | A did not speak next (ground truth) | SILENT_ref | 11 | 10 | 45 | false |
End of preview.
Dataset Card for Multi-Party Dialogue
Dataset Details
Dataset Description
This dataset is designed for proactive decision prediction (SPEAK or REMAIN SILENT) in multi-party conversations: given a conversational context and a current utterance, the task is to predict whether a specific participant (the target speaker) will speak next (SPEAK) or remain silent (SILENT).
Each sample captures a decision point in a conversation — a moment where the target speaker either takes the floor or stays silent. The dataset is balanced (50/50 SPEAK/SILENT) and spans three domains: meeting transcripts (AMI, SPGI) and TV show dialogues (Friends).
- Curated by: Ishiki Labs
- Language(s): English
- License: Apache 2.0
Dataset Sources
- AMI Corpus: Meeting recordings and transcripts: AMI Corpus
- Friends Corpus: TV show transcripts from the sitcom Friends Friends Corpus
- SPGI2.0 Corpus: Earnings call transcripts from S&P Global SPGI2.0
Dataset Structure
Splits and Sizes
| Dataset | Train | Val | Test | Total |
|---|---|---|---|---|
| AMI | 11,270 | 1,408 | 1,410 | 14,088 |
| Friends | 10,289 | 1,286 | 1,287 | 12,862 |
| SPGI | 79,432 | 9,929 | 9,929 | 99,290 |
Fields
| Field | Type | Description |
|---|---|---|
decision_point_id |
string | Unique identifier for the decision point |
sequence_id |
string | ID of the conversation sequence |
meeting_id |
string | Source meeting or episode ID |
target_speaker |
string | The speaker whose next-turn behavior is predicted |
all_speakers |
list[str] | All active participants in the conversation |
turn_index |
int | Index of the current turn in the sequence |
turn_type |
string | Whether the current turn is addressing or context |
source |
string | Annotation source (e.g. explicit, friends_explicit, spgi_heuristic) |
is_explicit |
bool | Whether the addressee is explicitly marked |
inference_confidence |
int | Confidence score (1–10) for the addressee inference |
context_turns |
list[dict] | Prior turns with speaker and text fields |
current_turn |
dict | The current utterance with speaker and text |
addressees_in_current |
list[str] | Speakers explicitly addressed in the current turn |
target_is_addressed |
bool | Whether the target speaker is directly addressed |
target_spoke_next |
bool | Ground truth: did the target speaker take the next turn? |
decision |
string | Label: SPEAK or SILENT |
confidence |
string | Confidence of the label (high, medium, low) |
reason |
string | Human-readable explanation for the label |
category |
string | Fine-grained label category (see below) |
num_context_turns |
int | Number of context turns provided |
num_query_words |
int | Word count of the current turn |
current_turn_text_length |
int | Character length of the current turn |
is_filler |
bool | Whether the current turn is a filler utterance |
Label Categories
| Category | Description |
|---|---|
SPEAK_explicit (I1) |
Target is directly addressed and speaks next |
SPEAK_implicit (I2) |
Target speaks next without being explicitly addressed |
SILENT_no_ref (S1) |
Target is not addressed and does not speak next |
SILENT_ref (S2) |
Target is referenced/addressed but does not speak next |
Files per Split
Each split contains:
{split}_samples.jsonl— the main samples{split}_samples_with_reasoning.jsonl— same samples with an addedreasoningfield explaining the labelfiltering_summary.json— summary statistics from dataset curationstage4_filtered_samples.jsonl— all filtered samples before train/val/test splitting
Dataset Creation
Curation Rationale
Multi-party conversations require participants (and models) to track who is being addressed and anticipate who will speak next. Existing dialogue datasets largely focus on two-party settings. This dataset was created to support research on proactive, context-aware response prediction in realistic multi-party settings with 2–7 participants.
Source Data
Data Collection and Processing
- AMI Corpus — Meeting transcripts with explicit addressee annotations. Decision points were extracted at each turn where a speaker change could occur.
- Friends Corpus — TV show scripts with scene-level speaker turns. Explicit addressee mentions (e.g., "Hey Joey, ...") were used to label addressee information.
- SPGI Corpus — Earnings call transcripts. Addressees were inferred heuristically from conversation structure (e.g., question-answer pairs, moderator patterns).
Each decision point consists of a fixed-length context window, a current utterance, and a binary label indicating whether the target speaker took the next turn. The dataset was filtered to remove low-confidence samples and balanced to 50/50 SPEAK/SILENT via stratified sampling.
Who are the source data producers?
- AMI Corpus: Recorded and annotated by the AMI Consortium (University of Edinburgh and collaborators)
- Friends Corpus: Transcripts from the TV show Friends (NBC)
- SPGI Corpus: Earnings call transcripts from S&P Global Market Intelligence
Annotation Process
- AMI / Friends: Labels are derived from ground-truth speaker-turn sequences and explicit addressee annotations in the original corpora.
- SPGI: Labels are derived heuristically from turn-taking patterns;
inference_confidencereflects annotation certainty. - A
reasoningfield (in*_with_reasoning.jsonlfiles) provides a natural language explanation for each label, generated to support chain-of-thought training.
Personal and Sensitive Information
- AMI and SPGI data may contain real names of meeting/call participants. No additional anonymization has been applied beyond what is present in the original corpora.
- Friends data is fictional dialogue from a TV show.
Citation
If you use this corpus, please cite our work:
@misc{bhagtani2026speakstaysilentcontextaware,
title={Speak or Stay Silent: Context-Aware Turn-Taking in Multi-Party Dialogue},
author={Bhagtani, Kratika and Anand, Mrinal and Xu, Yu Chen and Yadav, Amit Kumar Singh},
year={2026},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2603.11409}
}
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