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? 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 |
|---|---|---|---|---|---|---|
[
{
"property": [
"Social: Our People & Our Communities : Corporate Charitable Contributions (excluding employee matching) ",
"time"
],
"property_value": [
"$2,616,880 ",
"FY21 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
""
],
"predicate_hash": [
"973cd38ed3b12954acfcc32d5b498eb8",
"973cd38ed3b12954acfcc32d5b498eb8"
]
},
{
"property": [
"Social: Our People & Our Communities : Corporate Charitable Contributions (excluding employee matching) ",
"time"
],
"property_value": [
"$3,187,997 ",
"FY22 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
""
],
"predicate_hash": [
"f5b9486f76e3757c7bcf1460501b0727",
"f5b9486f76e3757c7bcf1460501b0727"
]
},
{
"property": [
"Social: Our People & Our Communities : Percentage of Employees Participating in Employee Network Groups ",
"time"
],
"property_value": [
"25.0% ",
"FY21 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
""
],
"predicate_hash": [
"00c104a10278d2a3ae70f54bcb11f995",
"00c104a10278d2a3ae70f54bcb11f995"
]
},
{
"property": [
"Social: Our People & Our Communities : Percentage of Employees Participating in Employee Network Groups ",
"time"
],
"property_value": [
"27.6% ",
"FY22 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
""
],
"predicate_hash": [
"e838e4c7fa261e4d3c0bf87644d12e58",
"e838e4c7fa261e4d3c0bf87644d12e58"
]
},
{
"property": [
"Social: Our People & Our Communities : Average Hours of Development per Employee ",
"time"
],
"property_value": [
"12 ",
"FY21 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
""
],
"predicate_hash": [
"b896d2c8418de39aa827c7b0265cb852",
"b896d2c8418de39aa827c7b0265cb852"
]
},
{
"property": [
"Social: Our People & Our Communities : Average Hours of Development per Employee ",
"time"
],
"property_value": [
"16 ",
"FY22 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
""
],
"predicate_hash": [
"6a4e1f98a986d62df3cce344b14d7298",
"6a4e1f98a986d62df3cce344b14d7298"
]
},
{
"property": [
"Social: Our People & Our Communities : Employee Volunteerism - Hours ",
"time"
],
"property_value": [
"3,363 ",
"FY21 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
""
],
"predicate_hash": [
"7b30de0f69fa2e62b943fd01e2d175e6",
"7b30de0f69fa2e62b943fd01e2d175e6"
]
},
{
"property": [
"Social: Our People & Our Communities : Employee Volunteerism - Hours ",
"time"
],
"property_value": [
"8,034 ",
"FY22 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
""
],
"predicate_hash": [
"c957247fade600e43e870ba15a40bb38",
"c957247fade600e43e870ba15a40bb38"
]
},
{
"property": [
"Social: Our People & Our Communities : Number and rate of fatalities as a result of work-related injury ",
"time"
],
"property_value": [
"0 ",
"FY21 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
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],
"predicate_hash": [
"79f3a9b36d533273fc736dfb5c866710",
"79f3a9b36d533273fc736dfb5c866710"
]
},
{
"property": [
"Social: Our People & Our Communities : Number and rate of fatalities as a result of work-related injury ",
"time"
],
"property_value": [
"0 ",
"FY22 Data "
],
"unit": [
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""
],
"subject": [
"",
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],
"subject_value": [
"",
""
],
"predicate_hash": [
"f3b2384af927db05434dc80358dfb20e",
"f3b2384af927db05434dc80358dfb20e"
]
},
{
"property": [
"Social: Our People & Our Communities : High-consequent work-related injuries (excluding fatalities) ",
"time"
],
"property_value": [
"0 ",
"FY21 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
""
],
"predicate_hash": [
"59a120044c70c2d30b39326eec4f4419",
"59a120044c70c2d30b39326eec4f4419"
]
},
{
"property": [
"Social: Our People & Our Communities : High-consequent work-related injuries (excluding fatalities) ",
"time"
],
"property_value": [
"0 ",
"FY22 Data "
],
"unit": [
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],
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""
],
"subject_value": [
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""
],
"predicate_hash": [
"eb3d52aec0a6b4c8e5dfb838be1ef6f2",
"eb3d52aec0a6b4c8e5dfb838be1ef6f2"
]
},
{
"property": [
"Social: Our People & Our Communities : Charitable Causes Supported ",
"time"
],
"property_value": [
"2,596 ",
"FY21 Data "
],
"unit": [
"",
""
],
"subject": [
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],
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],
"predicate_hash": [
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]
},
{
"property": [
"Social: Our People & Our Communities : Charitable Causes Supported ",
"time"
],
"property_value": [
"2,872 ",
"FY22 Data "
],
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],
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],
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],
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]
},
{
"property": [
"Social: Our People & Our Communities : Charitable Matching (of employee donations and MySMILE “Rewards”) ",
"time"
],
"property_value": [
"$1,856,702 ",
"FY21 Data "
],
"unit": [
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],
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],
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],
"predicate_hash": [
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]
},
{
"property": [
"Social: Our People & Our Communities : Charitable Matching (of employee donations and MySMILE “Rewards”) ",
"time"
],
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"FY22 Data "
],
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],
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]
},
{
"property": [
"Social: Our People & Our Communities : Overall Employee Participation (Matching & Volunteerism) ",
"time"
],
"property_value": [
"34.5% ",
"FY21 Data "
],
"unit": [
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""
],
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""
],
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],
"predicate_hash": [
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]
},
{
"property": [
"Social: Our People & Our Communities : Overall Employee Participation (Matching & Volunteerism) ",
"time"
],
"property_value": [
"30.6% ",
"FY22 Data "
],
"unit": [
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""
],
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],
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],
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"6fd54880e0b28bf1c5a517d9782bb3ce"
]
},
{
"property": [
"Social: Our People & Our Communities : Cybersecurity Academy - Partners Enrolled ",
"time"
],
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"1,500 ",
"FY21 Data "
],
"unit": [
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],
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],
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],
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"cc742d45b6bae4ae2eefb81d7deca0dd",
"cc742d45b6bae4ae2eefb81d7deca0dd"
]
},
{
"property": [
"Social: Our People & Our Communities : Cybersecurity Academy - Partners Enrolled ",
"time"
],
"property_value": [
"2,200 ",
"FY22 Data "
],
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""
],
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],
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],
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]
},
{
"property": [
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"time"
],
"property_value": [
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"FY21 Data "
],
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],
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],
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],
"predicate_hash": [
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]
},
{
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"time"
],
"property_value": [
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"FY22 Data "
],
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""
],
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""
],
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],
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]
},
{
"property": [
"Social: Our People & Our Communities : Employee Donations ",
"time"
],
"property_value": [
"$1,021,599 ",
"FY21 Data "
],
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""
],
"subject": [
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],
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],
"predicate_hash": [
"1f5663671323e68bc3ecdbf778e78e1b",
"1f5663671323e68bc3ecdbf778e78e1b"
]
},
{
"property": [
"Social: Our People & Our Communities : Employee Donations ",
"time"
],
"property_value": [
"$1,115,897 ",
"FY22 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
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],
"predicate_hash": [
"70f2d23d7751f5a2193dca7974e1ab06",
"70f2d23d7751f5a2193dca7974e1ab06"
]
},
{
"property": [
"Social: Our People & Our Communities : Cybersecurity Academy - Countries Reached ",
"time"
],
"property_value": [
"75 ",
"FY21 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
""
],
"predicate_hash": [
"fb04c23de8e2bd19dadd20a4a5c8dab5",
"fb04c23de8e2bd19dadd20a4a5c8dab5"
]
},
{
"property": [
"Social: Our People & Our Communities : Cybersecurity Academy - Countries Reached ",
"time"
],
"property_value": [
"86 ",
"FY22 Data "
],
"unit": [
"",
""
],
"subject": [
"",
""
],
"subject_value": [
"",
""
],
"predicate_hash": [
"5d302918b415b55f07d36f3a5b6edcf3",
"5d302918b415b55f07d36f3a5b6edcf3"
]
}
] | {
"data_hash": "4c71232d4655229f0dcdf987b15c61b7",
"document": {
"languages": [
"en"
],
"advanced": {
"symbol": "NYSE: PANW",
"ticker": "PANW",
"website": [
"https://www.paloaltonetworks.com/"
],
"year": 2022,
"exchange": "NYSE",
"industry": "Networking & Communication Devices",
"location": "Santa Clara, California",
"employees": "1001-5000 Employees",
"sector": "Technology"
},
"subjects": [
"Technology"
],
"publication_date": "2022-01-01T12:00:00.000+00:00",
"affiliations": [
{
"name": "Palo Alto Networks Inc",
"id": "palo-alto",
"source": "ir-solutions"
}
],
"collection": {
"name": "ESG Reports",
"alias": [
"esg-report"
],
"type": "Document",
"version": "1.3.0"
},
"abstract": [
"Palo Alto Networks, Inc. provides enterprise security platform to enterprises, service providers, and government entities worldwide. Its platform includes Next-Generation Firewall that delivers application, user, and content visibility and control, as well as protection against network-based cyber threats; and Threat Intelligence Cloud that offers central intelligence capabilities, as wellas automated delivery of preventative measures against cyber attacks."
],
"url_refs": [
"https://www.responsibilityreports.com/HostedData/ResponsibilityReports/PDF/NYSE_PANW_2022.pdf"
],
"title": "2022 Environmental, Social and Governance Report",
"type": "ESG report",
"logs": [
{
"date": "2023-08-17T07:02:01.636047+00:00",
"agent": "CCS",
"comment": "CCS v9.1.1 parsing of documents",
"type": "parsing",
"task": null
},
{
"date": "2023-08-21T11:26:37.184+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": "1edb91af84c6c4c8fce5d2c69f201b2304d01a7a99b6f12b374b48f5af9d0091",
"index_tables": 5
},
"collection": "esg",
"sub_collection": [
"social"
],
"entities": [
"training hours per employee",
"number of other fatalities"
],
"ratio_numbers": 1.1428571428571428
} | [
[
"header_1",
"time_value",
"time_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
],
[
"property",
"property_value",
"property_value"
]
] | [
[
"Social: Our People & Our Communities ",
"FY21 Data ",
"FY22 Data "
],
[
"Corporate Charitable Contributions (excluding employee matching) ",
"$2,616,880 ",
"$3,187,997 "
],
[
"Percentage of Employees Participating in Employee Network Groups ",
"25.0% ",
"27.6% "
],
[
"Average Hours of Development per Employee ",
"12 ",
"16 "
],
[
"Employee Volunteerism - Hours ",
"3,363 ",
"8,034 "
],
[
"Number and rate of fatalities as a result of work-related injury ",
"0 ",
"0 "
],
[
"High-consequent work-related injuries (excluding fatalities) ",
"0 ",
"0 "
],
[
"Charitable Causes Supported ",
"2,596 ",
"2,872 "
],
[
"Charitable Matching (of employee donations and MySMILE “Rewards”) ",
"$1,856,702 ",
"$1,091,221 "
],
[
"Overall Employee Participation (Matching & Volunteerism) ",
"34.5% ",
"30.6% "
],
[
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[
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[
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]
] | table | augmented | fa5d002e9f5147a76ff522c22c6095ae |
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End of preview.