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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowTypeError
Message: ("Expected bytes, got a 'float' object", 'Conversion failed for column company_info with type object')
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Missing a name for object member. in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
for key, example in iterator:
^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 503, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 181, in _generate_tables
pa_table = pa.Table.from_pandas(df, preserve_index=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 4795, in pyarrow.lib.Table.from_pandas
File "/src/services/worker/.venv/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 637, in dataframe_to_arrays
arrays = [convert_column(c, f)
^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 625, in convert_column
raise e
File "/src/services/worker/.venv/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 619, in convert_column
result = pa.array(col, type=type_, from_pandas=True, safe=safe)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/array.pxi", line 365, in pyarrow.lib.array
File "pyarrow/array.pxi", line 91, in pyarrow.lib._ndarray_to_array
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: ("Expected bytes, got a 'float' object", 'Conversion failed for column company_info with type object')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.
Dataset Summary
This dataset was created as part of the Master's thesis Automated Analysis of Sustainability Reports: Using Large Language Models for the Extraction and Prediction of EU Taxonomy-Compliant KPIs (University of Innsbruck, 2025). It contains parsed annual and sustainability reports from 190 European companies subject to EU Taxonomy reporting obligations for the fiscal year 2023. Each record includes extracted Key Performance Indicators (KPIs) and verified company-level metadata.
The dataset supports research on automated analysis of corporate sustainability disclosures, the extraction of EU Taxonomy-aligned financial KPIs, and the evaluation of large language models for compliance-related information extraction tasks.
Data Structure
Each JSON file represents one company-year record and follows this schema:
{
"company_name": "",
"company_info": {
"name": "",
"industry": "",
"country": "",
"revenue": "",
"number_of_employees": "",
"company_type": "",
"sector": ""
},
"extracted_kpis": {
"currency": "",
"units": "",
"turnoverKPI": {
"totalTurnover": {
"value": "",
"percentage": ""
},
"eligibleTurnover": {
"value": "",
"percentage": ""
},
"alignedTurnover": {
"value": "",
"percentage": ""
},
"nonEligibleTurnover": {
"value": "",
"percentage": ""
}
},
"capexKPI": {
"totalCapex": {
"value": "",
"percentage": ""
},
"eligibleCapex": {
"value": "",
"percentage": ""
},
"alignedCapex": {
"value": "",
"percentage": ""
},
"eligibleNotAlignedCapex": {
"value": "",
"percentage": ""
},
"nonEligibleCapex": {
"value": "",
"percentage": ""
}
},
"opexKPI": {
"totalOpex": {
"value": "",
"percentage": ""
},
"eligibleOpex": {
"value": "",
"percentage": ""
},
"alignedOpex": {
"value": "",
"percentage": ""
},
"nonEligibleOpex": {
"value": "",
"percentage": ""
}
}
},
"taxonomy_section": "",
"report_without_taxonomy": "",
"full_report": "",
"taxonomy_data": {
"activities": []
}
}
Data Fields
| Field | Type | Description |
|---|---|---|
company_name |
string | Official name of the company |
company_info.industry |
string | Industry classification |
company_info.country |
string | Country of headquarters |
company_info.revenue |
numeric / string | Annual revenue (euros) |
company_info.number_of_employees |
integer | Number of employees |
company_info.company_type |
string | Type of company (e.g., public, private) |
company_info.sector |
string | Economic sector classification |
extracted_kpis.currency |
string | Currency used for KPI reporting |
extracted_kpis.units |
string | Units used for financial figures (e.g., million) |
extracted_kpis.turnoverKPI.* |
object | Reported turnover values and percentages (total, eligible, aligned, non-eligible) |
extracted_kpis.capexKPI.* |
object | Reported capital expenditure values and percentages |
extracted_kpis.opexKPI.* |
object | Reported operating expenditure values and percentages |
taxonomy_section |
string | Extracted text of the EU Taxonomy disclosure section |
report_without_taxonomy |
string | Full report text excluding the EU Taxonomy section |
full_report |
string | Complete parsed annual or sustainability report |
taxonomy_data.activities |
list | Reported EU Taxonomy activities for the company |
License
Creative Commons CC0 1.0 Universal (Public Domain Dedication) You are free to use, share, and adapt the dataset without any restrictions or attribution.
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