DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
Paper • 1710.03957 • Published
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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
domains: struct<Ordinary Life: struct<description: string, slots: struct<>>, School Life: struct<description: (... 491 chars omitted)
child 0, Ordinary Life: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 1, School Life: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 2, Culture & Education: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 3, Attitude & Emotion: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 4, Relationship: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 5, Tourism: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 6, Health: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 7, Work: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 8, Politics: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 9, Finance: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
intents: struct<inform: struct<description: string>, question: struct<description: string>, directive: struct (... 63 chars omitted)
child 0, inform: struct<description: string>
child 0, description: string
child 1, question: struct<description: string>
child 0, description: string
child 2, directive: struct<description: string>
child 0, description: string
child 3, commissive: struct<description: string>
child 0, description: string
state: struct<>
dialogue_acts: struct<categorical: list<item: null>, non-categorical: list<item: null>, binary: list<item: string>>
child 0, categorical: list<item: null>
child 0, item: null
child 1, non-categorical: list<item: null>
child 0, item: null
child 2, binary: list<item: string>
child 0, item: string
to
{'dataset': Value('string'), 'data_split': Value('string'), 'dialogue_id': Value('string'), 'original_id': Value('string'), 'domains': List(Value('string')), 'turns': List({'speaker': Value('string'), 'utterance': Value('string'), 'utt_idx': Value('int64'), 'dialogue_acts': {'binary': List({'intent': Value('string'), 'domain': Value('string'), 'slot': Value('string')}), 'categorical': List(Value('null')), 'non-categorical': List(Value('null'))}, 'emotion': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 764, in write_table
self.write_rows_on_file() # in case there are buffered rows to write first
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
domains: struct<Ordinary Life: struct<description: string, slots: struct<>>, School Life: struct<description: (... 491 chars omitted)
child 0, Ordinary Life: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 1, School Life: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 2, Culture & Education: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 3, Attitude & Emotion: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 4, Relationship: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 5, Tourism: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 6, Health: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 7, Work: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 8, Politics: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 9, Finance: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
intents: struct<inform: struct<description: string>, question: struct<description: string>, directive: struct (... 63 chars omitted)
child 0, inform: struct<description: string>
child 0, description: string
child 1, question: struct<description: string>
child 0, description: string
child 2, directive: struct<description: string>
child 0, description: string
child 3, commissive: struct<description: string>
child 0, description: string
state: struct<>
dialogue_acts: struct<categorical: list<item: null>, non-categorical: list<item: null>, binary: list<item: string>>
child 0, categorical: list<item: null>
child 0, item: null
child 1, non-categorical: list<item: null>
child 0, item: null
child 2, binary: list<item: string>
child 0, item: string
to
{'dataset': Value('string'), 'data_split': Value('string'), 'dialogue_id': Value('string'), 'original_id': Value('string'), 'domains': List(Value('string')), 'turns': List({'speaker': Value('string'), 'utterance': Value('string'), 'utt_idx': Value('int64'), 'dialogue_acts': {'binary': List({'intent': Value('string'), 'domain': Value('string'), 'slot': Value('string')}), 'categorical': List(Value('null')), 'non-categorical': List(Value('null'))}, 'emotion': Value('string')})}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, 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 ({'intents', 'state', 'dialogue_acts'}) and 5 missing columns ({'dataset', 'dialogue_id', 'data_split', 'original_id', 'turns'}).
This happened while the json dataset builder was generating data using
hf://datasets/yevgeniy03/dailydialog/dummy_data.json (at revision bb851bd632871834f679e51c695c9e27548cfea3), [/tmp/hf-datasets-cache/medium/datasets/23539200204500-config-parquet-and-info-yevgeniy03-dailydialog-f2eb5935/hub/datasets--yevgeniy03--dailydialog/snapshots/bb851bd632871834f679e51c695c9e27548cfea3/data.zip (origin=hf://datasets/yevgeniy03/dailydialog@bb851bd632871834f679e51c695c9e27548cfea3/data.zip), /tmp/hf-datasets-cache/medium/datasets/23539200204500-config-parquet-and-info-yevgeniy03-dailydialog-f2eb5935/hub/datasets--yevgeniy03--dailydialog/snapshots/bb851bd632871834f679e51c695c9e27548cfea3/dummy_data.json (origin=hf://datasets/yevgeniy03/dailydialog@bb851bd632871834f679e51c695c9e27548cfea3/dummy_data.json), /tmp/hf-datasets-cache/medium/datasets/23539200204500-config-parquet-and-info-yevgeniy03-dailydialog-f2eb5935/hub/datasets--yevgeniy03--dailydialog/snapshots/bb851bd632871834f679e51c695c9e27548cfea3/shuffled_dial_ids.json (origin=hf://datasets/yevgeniy03/dailydialog@bb851bd632871834f679e51c695c9e27548cfea3/shuffled_dial_ids.json)], ['hf://datasets/yevgeniy03/dailydialog@bb851bd632871834f679e51c695c9e27548cfea3/data.zip', 'hf://datasets/yevgeniy03/dailydialog@bb851bd632871834f679e51c695c9e27548cfea3/dummy_data.json', 'hf://datasets/yevgeniy03/dailydialog@bb851bd632871834f679e51c695c9e27548cfea3/shuffled_dial_ids.json']
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)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
domains: struct<Ordinary Life: struct<description: string, slots: struct<>>, School Life: struct<description: (... 491 chars omitted)
child 0, Ordinary Life: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 1, School Life: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 2, Culture & Education: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 3, Attitude & Emotion: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 4, Relationship: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 5, Tourism: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 6, Health: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 7, Work: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 8, Politics: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
child 9, Finance: struct<description: string, slots: struct<>>
child 0, description: string
child 1, slots: struct<>
intents: struct<inform: struct<description: string>, question: struct<description: string>, directive: struct (... 63 chars omitted)
child 0, inform: struct<description: string>
child 0, description: string
child 1, question: struct<description: string>
child 0, description: string
child 2, directive: struct<description: string>
child 0, description: string
child 3, commissive: struct<description: string>
child 0, description: string
state: struct<>
dialogue_acts: struct<categorical: list<item: null>, non-categorical: list<item: null>, binary: list<item: string>>
child 0, categorical: list<item: null>
child 0, item: null
child 1, non-categorical: list<item: null>
child 0, item: null
child 2, binary: list<item: string>
child 0, item: string
to
{'dataset': Value('string'), 'data_split': Value('string'), 'dialogue_id': Value('string'), 'original_id': Value('string'), 'domains': List(Value('string')), 'turns': List({'speaker': Value('string'), 'utterance': Value('string'), 'utt_idx': Value('int64'), 'dialogue_acts': {'binary': List({'intent': Value('string'), 'domain': Value('string'), 'slot': Value('string')}), 'categorical': List(Value('null')), 'non-categorical': List(Value('null'))}, 'emotion': Value('string')})}
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 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1832, 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.
dataset string | data_split string | dialogue_id string | original_id string | domains list | turns list |
|---|---|---|---|---|---|
dailydialog | train | dailydialog-train-0 | train-0 | [
"Attitude & Emotion"
] | [
{
"speaker": "user",
"utterance": "Say, Jim, how about going for a few beers after dinner?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "directive",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical":... |
dailydialog | train | dailydialog-train-1 | train-1 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Can you do push-ups?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": "no emotio... |
dailydialog | train | dailydialog-train-2 | train-2 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Can you study with the radio on?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion"... |
dailydialog | train | dailydialog-train-3 | train-3 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Are you all right?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": "no emotion"... |
dailydialog | train | dailydialog-train-4 | train-4 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Hey John, nice skates. Are they new?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emot... |
dailydialog | train | dailydialog-train-5 | train-5 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Hey Lydia, what are you reading?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion"... |
dailydialog | train | dailydialog-train-6 | train-6 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Frank's getting married, do you believe this?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
... |
dailydialog | train | dailydialog-train-7 | train-7 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "I hear you bought a new house in the northern suburbs.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "inform",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
... |
dailydialog | train | dailydialog-train-8 | train-8 | [
"Attitude & Emotion"
] | [
{
"speaker": "user",
"utterance": "Hi, Becky, what's up?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": "no emoti... |
dailydialog | train | dailydialog-train-9 | train-9 | [
"Attitude & Emotion"
] | [
{
"speaker": "user",
"utterance": "How are Zina's new programmers working out?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
... |
dailydialog | train | dailydialog-train-10 | train-10 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Do you like cooking?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": "no emotio... |
dailydialog | train | dailydialog-train-11 | train-11 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Anyone home? Jen!",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": "no emotion"
... |
dailydialog | train | dailydialog-train-12 | train-12 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "You look so tan and healthy!",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "inform",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": "hap... |
dailydialog | train | dailydialog-train-13 | train-13 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Diana, do you like the perfume I gave you?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
... |
dailydialog | train | dailydialog-train-14 | train-14 | [
"Ordinary Life"
] | [
{
"speaker": "user",
"utterance": "Ah, ah, ah ...",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "inform",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": "no emotion"
},
... |
dailydialog | train | dailydialog-train-15 | train-15 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Hi Bill, I saw your grandma yesterday.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "inform",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emot... |
dailydialog | train | dailydialog-train-16 | train-16 | [
"School Life"
] | [
{
"speaker": "user",
"utterance": "I would like to register for a class today.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "directive",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
... |
dailydialog | train | dailydialog-train-17 | train-17 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Dad, why are you taping the windows?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emot... |
dailydialog | train | dailydialog-train-18 | train-18 | [
"School Life"
] | [
{
"speaker": "user",
"utterance": "Hi, my name is Lean, and I'm from Russia.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "inform",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"e... |
dailydialog | train | dailydialog-train-19 | train-19 | [
"Ordinary Life"
] | [
{
"speaker": "user",
"utterance": "Can I help you?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": "no emotion"
... |
dailydialog | train | dailydialog-train-20 | train-20 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Here's your hot dog and beer. What happened? Did I miss anything?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-cate... |
dailydialog | train | dailydialog-train-21 | train-21 | [
"Attitude & Emotion"
] | [
{
"speaker": "user",
"utterance": "How do you like the pizza here?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion":... |
dailydialog | train | dailydialog-train-22 | train-22 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Do you have a light?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": "no emotio... |
dailydialog | train | dailydialog-train-23 | train-23 | [
"Attitude & Emotion"
] | [
{
"speaker": "user",
"utterance": "I was scared stiff of giving my first performance.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "inform",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
... |
dailydialog | train | dailydialog-train-24 | train-24 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Excuse me. Could you please take a picture of us with this camera?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "directive",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-ca... |
dailydialog | train | dailydialog-train-25 | train-25 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Every country should face the history.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "inform",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emot... |
dailydialog | train | dailydialog-train-26 | train-26 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Do you like traveling, Kathy?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
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dailydialog | train | dailydialog-train-27 | train-27 | [
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dailydialog | train | dailydialog-train-28 | train-28 | [
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dailydialog | train | dailydialog-train-29 | train-29 | [
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dailydialog | train | dailydialog-train-30 | train-30 | [
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dailydialog | train | dailydialog-train-31 | train-31 | [
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dailydialog | train | dailydialog-train-32 | train-32 | [
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dailydialog | train | dailydialog-train-33 | train-33 | [
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dailydialog | train | dailydialog-train-34 | train-34 | [
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dailydialog | train | dailydialog-train-35 | train-35 | [
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dailydialog | train | dailydialog-train-36 | train-36 | [
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dailydialog | train | dailydialog-train-37 | train-37 | [
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dailydialog | train | dailydialog-train-38 | train-38 | [
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dailydialog | train | dailydialog-train-39 | train-39 | [
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dailydialog | train | dailydialog-train-40 | train-40 | [
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dailydialog | train | dailydialog-train-41 | train-41 | [
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dailydialog | train | dailydialog-train-42 | train-42 | [
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dailydialog | train | dailydialog-train-43 | train-43 | [
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dailydialog | train | dailydialog-train-44 | train-44 | [
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dailydialog | train | dailydialog-train-45 | train-45 | [
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dailydialog | train | dailydialog-train-46 | train-46 | [
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dailydialog | train | dailydialog-train-47 | train-47 | [
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dailydialog | train | dailydialog-train-48 | train-48 | [
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dailydialog | train | dailydialog-train-49 | train-49 | [
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dailydialog | train | dailydialog-train-50 | train-50 | [
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dailydialog | train | dailydialog-train-51 | train-51 | [
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dailydialog | train | dailydialog-train-52 | train-52 | [
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dailydialog | train | dailydialog-train-53 | train-53 | [
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dailydialog | train | dailydialog-train-54 | train-54 | [
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dailydialog | train | dailydialog-train-55 | train-55 | [
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dailydialog | train | dailydialog-train-56 | train-56 | [
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dailydialog | train | dailydialog-train-57 | train-57 | [
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dailydialog | train | dailydialog-train-58 | train-58 | [
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dailydialog | train | dailydialog-train-59 | train-59 | [
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dailydialog | train | dailydialog-train-60 | train-60 | [
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dailydialog | train | dailydialog-train-61 | train-61 | [
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dailydialog | train | dailydialog-train-62 | train-62 | [
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dailydialog | train | dailydialog-train-63 | train-63 | [
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dailydialog | train | dailydialog-train-64 | train-64 | [
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dailydialog | train | dailydialog-train-65 | train-65 | [
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"emo... |
dailydialog | train | dailydialog-train-66 | train-66 | [
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dailydialog | train | dailydialog-train-67 | train-67 | [
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dailydialog | train | dailydialog-train-68 | train-68 | [
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dailydialog | train | dailydialog-train-69 | train-69 | [
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dailydialog | train | dailydialog-train-70 | train-70 | [
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dailydialog | train | dailydialog-train-71 | train-71 | [
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dailydialog | train | dailydialog-train-72 | train-72 | [
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dailydialog | train | dailydialog-train-73 | train-73 | [
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dailydialog | train | dailydialog-train-74 | train-74 | [
"Relationship"
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dailydialog | train | dailydialog-train-75 | train-75 | [
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dailydialog | train | dailydialog-train-76 | train-76 | [
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dailydialog | train | dailydialog-train-77 | train-77 | [
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dailydialog | train | dailydialog-train-78 | train-78 | [
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dailydialog | train | dailydialog-train-79 | train-79 | [
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dailydialog | train | dailydialog-train-80 | train-80 | [
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dailydialog | train | dailydialog-train-81 | train-81 | [
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dailydialog | train | dailydialog-train-82 | train-82 | [
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dailydialog | train | dailydialog-train-83 | train-83 | [
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dailydialog | train | dailydialog-train-84 | train-84 | [
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dailydialog | train | dailydialog-train-85 | train-85 | [
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],
"categorical": [],
"non-categorical": []
},
"emotion": "hap... |
dailydialog | train | dailydialog-train-86 | train-86 | [
"Attitude & Emotion"
] | [
{
"speaker": "user",
"utterance": "Could I see the manager please? I have a complaint to make.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "directive",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categoric... |
dailydialog | train | dailydialog-train-87 | train-87 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Congratulations, Vivian. You won the grand prize, again.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "inform",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": [... |
dailydialog | train | dailydialog-train-88 | train-88 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "We are going to the concert this evening. Will you join us.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "directive",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categoric... |
dailydialog | train | dailydialog-train-89 | train-89 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "You' v been work here for nearly a month, how do you feel about the job?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"n... |
dailydialog | train | dailydialog-train-90 | train-90 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "The music is on. May I have the pleasure to dance with you?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "directive",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categoric... |
dailydialog | train | dailydialog-train-91 | train-91 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Excuse me, is this seat taken?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": ... |
dailydialog | train | dailydialog-train-92 | train-92 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Look at this headline, Soo Mi.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "inform",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": "n... |
dailydialog | train | dailydialog-train-93 | train-93 | [
"Attitude & Emotion"
] | [
{
"speaker": "user",
"utterance": "Boy! What a beauty! I fall in love with her at the first sight.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "inform",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categori... |
dailydialog | train | dailydialog-train-94 | train-94 | [
"School Life"
] | [
{
"speaker": "user",
"utterance": "Excuse me. Where do I register?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion":... |
dailydialog | train | dailydialog-train-95 | train-95 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "How was your education going on in Australia?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
... |
dailydialog | train | dailydialog-train-96 | train-96 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Do you have any particular hobbies, Tom?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"... |
dailydialog | train | dailydialog-train-97 | train-97 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "What's the plot of your new movie?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotio... |
dailydialog | train | dailydialog-train-98 | train-98 | [
"Relationship"
] | [
{
"speaker": "user",
"utterance": "Who's that old lady trimming the trees?",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "question",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"e... |
dailydialog | train | dailydialog-train-99 | train-99 | [
"Attitude & Emotion"
] | [
{
"speaker": "user",
"utterance": "Mom. My legs are killing me.",
"utt_idx": 0,
"dialogue_acts": {
"binary": [
{
"intent": "directive",
"domain": "",
"slot": ""
}
],
"categorical": [],
"non-categorical": []
},
"emotion": "... |
End of preview.
YAML Metadata Warning:The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Dataset Card for DailyDialog
- Repository: http://yanran.li/dailydialog
- Paper: https://arxiv.org/pdf/1710.03957.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('dailydialog')
ontology = load_ontology('dailydialog')
database = load_database('dailydialog')
For more usage please refer to here.
Dataset Summary
DailyDialog is a high-quality multi-turn dialog dataset. It is intriguing in several aspects. The language is human-written and less noisy. The dialogues in the dataset reflect our daily communication way and cover various topics about our daily life. We also manually label the developed dataset with communication intention and emotion information.
- How to get the transformed data from original data:
- Download ijcnlp_dailydialog.zip.
- Run
python preprocess.pyin the current directory.
- Main changes of the transformation:
- Use
topicannotation asdomain. If duplicated dialogs are annotated with different topics, use the most frequent one. - Use
intentannotation asbinarydialogue act. - Retain emotion annotation in the
emotionfield of each turn. - Use nltk to remove space before punctuation:
utt = ' '.join([detokenizer.detokenize(word_tokenize(s)) for s in sent_tokenize(utt)]). - Replace
" ’ "with"'":utt = utt.replace(' ’ ', "'"). - Add space after full-stop
- Use
- Annotations:
- intent, emotion
Supported Tasks and Leaderboards
NLU, 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 | 11118 | 87170 | 7.84 | 11.22 | 1 | - | - | - | - |
| validation | 1000 | 8069 | 8.07 | 11.16 | 1 | - | - | - | - |
| test | 1000 | 7740 | 7.74 | 11.36 | 1 | - | - | - | - |
| all | 13118 | 102979 | 7.85 | 11.22 | 1 | - | - | - | - |
10 domains: ['Ordinary Life', 'School Life', 'Culture & Education', 'Attitude & Emotion', 'Relationship', 'Tourism', 'Health', 'Work', 'Politics', 'Finance']
- 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{li2017dailydialog,
author = {Li, Yanran and Su, Hui and Shen, Xiaoyu and Li, Wenjie and Cao, Ziqiang and Niu, Shuzi},
title = {DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset},
booktitle = {Proceedings of The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)},
year = {2017}
}
Licensing Information
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