The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'input', 'output'}) and 7 missing columns ({'structured_data', 'ud_type', 'source', 'augmentation_status', 'current_hash', 'cell_annotations', 'unstructured_data'}).

This happened while the json dataset builder was generating data using

hf://datasets/ds4sd/SemTabNet/se_indirect_1d/train.jsonl (at revision cb298ccfe43b8d04f8cc16b34bc0955c0c59f44a)

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
              input: string
              output: string
              to
              {'structured_data': [{'property': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'property_value': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'unit': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'subject': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'subject_value': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'predicate_hash': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}], 'source': {'data_hash': Value(dtype='string', id=None), 'document': {'languages': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'advanced': {'symbol': Value(dtype='string', id=None), 'ticker': Value(dtype='string', id=None), 'website': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'year': Value(dtype='int64', id=None), 'exchange': Value(dtype='string', id=None), 'industry': Value(dtype='string', id=None), 'location': Value(dtype='string', id=None), 'employees': Value(dtype='string', id=None), 'sector': Value(dtype='string', id=None)}, 'subjects': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'publication_date': Value(dtype='string', id=None), 'affiliations': [{'name': Value(dtype='string', id=None), 'id': Value(dtype='string', id=None), 'source': Value(dtype='string', id=None)}], 'collection': {'name': Value(dtype='string', id=None), 'alias': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'type': Value(dtype='string', id=None), 'version': Value(dtype='string', id=None)}, 'abstract': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'url_refs': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'title': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'logs': [{'date': Value(dtype='string', id=None), 'agent': Value(dtype='string', id=None), 'comment': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'task': Value(dtype='string', id=None)}], 'document_hash': Value(dtype='string', id=None), 'index_tables': Value(dtype='int64', id=None)}, 'collection': Value(dtype='string', id=None), 'sub_collection': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'entities': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'ratio_numbers': Value(dtype='float64', id=None)}, 'cell_annotations': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'unstructured_data': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'ud_type': Value(dtype='string', id=None), 'augmentation_status': Value(dtype='string', id=None), 'current_hash': Value(dtype='string', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1572, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1136, in stream_convert_to_parquet
                  builder._prepare_split(
                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 2 new columns ({'input', 'output'}) and 7 missing columns ({'structured_data', 'ud_type', 'source', 'augmentation_status', 'current_hash', 'cell_annotations', 'unstructured_data'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/ds4sd/SemTabNet/se_indirect_1d/train.jsonl (at revision cb298ccfe43b8d04f8cc16b34bc0955c0c59f44a)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

structured_data
list
source
dict
cell_annotations
sequence
unstructured_data
sequence
ud_type
string
augmentation_status
string
current_hash
string
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table
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{ "data_hash": "bae0ebdc666cea92089e352bb56711b8", "document": { "languages": [ "en" ], "advanced": { "symbol": "ASX: YAL", "ticker": "YAL", "website": [ "https://www.yancoal.com.au/" ], "year": 2022, "exchange": "ASX", "industry": "Thermal Coal", "location": "Sydney, Australia", "employees": "1001-5000 Employees", "sector": "Energy" }, "subjects": [ "Energy" ], "publication_date": "2022-01-01T12:00:00.000+00:00", "affiliations": [ { "name": "Yancoal Australia Ltd", "id": "yancoal-australia-ltd", "source": "ir-solutions" } ], "collection": { "name": "ESG Reports", "alias": [ "esg-report" ], "type": "Document", "version": "1.3.0" }, "abstract": [ "Yancoal Australia Ltd engages in the exploration, development, production, and marketing of metallurgical and thermal coal in Japan, Singapore, China, South Korea, Taiwan, Thailand, Australia, and internationally. It owns 95% interests in the Moolarben coal mine located in the Western Coalfields of New South Wales; 100% interests in the Stratford Duralie mines located within the New SouthWales Gloucester Basin; 100% interests in the Yarrabee mine located to the northeast of Blackwater in Central Queensland's Bowen Basin; and 80% interests in the Mount Thorley mine and 84.5% interests in the Warkworth mine in the Hunter Valley region of New South Wales. It also manages six other projects in New South Wales, Queensland, and Western Australia. The company was founded in 2004 and is based in Sydney, Australia. Yancoal Australia Ltd is a subsidiary of Yanzhou Coal Mining Company Limited." ], "url_refs": [ "https://www.responsibilityreports.com/HostedData/ResponsibilityReports/PDF/ASX_YAL_2022.pdf" ], "title": "2022 ESG Report", "type": "ESG report", "logs": [ { "date": "2023-08-17T12:33:27.584590+00:00", "agent": "CCS", "comment": "CCS v9.1.1 parsing of documents", "type": "parsing", "task": null }, { "date": "2023-08-21T11:31:29.419+00:00", "agent": "CXS", "comment": "enrich esg-report-metadata-20230628 to esg-report-20230815", "type": "text enrichment", "task": "enrich esg-report-metadata-20230628 to esg-report-20230815" } ], "document_hash": "401b916dbabd69c1590296d7d5a1860d087bd4932c9e58ce3bf150e145e0d782", "index_tables": 3 }, "collection": "esg", "sub_collection": [ "environment" ], "entities": [ "scope 1 ghg emissions" ], "ratio_numbers": 1.8055555555555556 }
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