Datasets:

---

ConvLab

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dailydialog

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ConvLab 22

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 3 new columns ({'dialogue_acts', 'state', 'intents'}) and 5 missing columns ({'dataset', 'turns', 'data_split', 'original_id', 'dialogue_id'}).

This happened while the json dataset builder was generating data using

zip://data/ontology.json::/tmp/hf-datasets-cache/heavy/datasets/17491416840772-config-parquet-and-info-ConvLab-dailydialog-4827645f/downloads/af2c057713ccdff4ffad9c27632fc7bcfacb3c1feaa81c3947b4ea4b332ed1d5

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              domains: struct<Ordinary Life: struct<description: string, slots: struct<>>, School Life: struct<description: string, slots: struct<>>, Culture & Education: struct<description: string, slots: struct<>>, Attitude & Emotion: struct<description: string, slots: struct<>>, Relationship: struct<description: string, slots: struct<>>, Tourism: struct<description: string, slots: struct<>>, Health: struct<description: string, slots: struct<>>, Work: struct<description: string, slots: struct<>>, Politics: struct<description: string, slots: struct<>>, Finance: struct<description: string, slots: struct<>>>
                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<description: string>, commissive: struct<description: string>>
                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(dtype='string', id=None), 'turns': [{'dialogue_acts': {'binary': [{'domain': Value(dtype='string', id=None), 'intent': Value(dtype='string', id=None), 'slot': Value(dtype='string', id=None)}], 'categorical': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'non-categorical': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None)}, 'emotion': Value(dtype='string', id=None), 'speaker': Value(dtype='string', id=None), 'utt_idx': Value(dtype='int64', id=None), 'utterance': Value(dtype='string', id=None)}], 'data_split': Value(dtype='string', id=None), 'original_id': Value(dtype='string', id=None), 'dialogue_id': Value(dtype='string', id=None), 'domains': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 3 new columns ({'dialogue_acts', 'state', 'intents'}) and 5 missing columns ({'dataset', 'turns', 'data_split', 'original_id', 'dialogue_id'}).
              
              This happened while the json dataset builder was generating data using
              
              zip://data/ontology.json::/tmp/hf-datasets-cache/heavy/datasets/17491416840772-config-parquet-and-info-ConvLab-dailydialog-4827645f/downloads/af2c057713ccdff4ffad9c27632fc7bcfacb3c1feaa81c3947b4ea4b332ed1d5
              
              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)