Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type
struct<stated_value: string, rate_value: int64, rate_unit: string, payment_cycle: string, payment_condition: string, eligibility_requirement: string>
to
{'stated_value': Value('string'), 'payment_condition': Value('string'), 'eligibility_requirement': Value('string'), 'equity_detail': Value('string')}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<stated_value: string, rate_value: int64, rate_unit: string, payment_cycle: string, payment_condition: string, eligibility_requirement: string>
to
{'stated_value': Value('string'), 'payment_condition': Value('string'), 'eligibility_requirement': Value('string'), 'equity_detail': Value('string')}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.
Employment Contract Compensation Clause Fact Verification Dataset
This dataset covers compensation provisions in employment contracts, including base pay, bonuses, commissions, equity, pay schedules, deductions, and reimbursements. Each record links a contract clause used as evidence with a compensation claim to verify, and may include amounts, currencies, payment conditions, eligibility requirements, a verification result, an evidence quote, normalized facts, and an explanation. It supports training and evaluating models that determine whether compensation claims are grounded in contract text, particularly when the contract does not specify the claimed information.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| claim_text | string | Original text of a compensation-related factual claim to be checked against the contract clause. |
| claim_category | string | Category of the compensation provision addressed by the factual claim. |
| evidence_quote | string | Original contract excerpt that supports, contradicts, or contextualizes the claim; this may be empty when the contract makes no relevant provision. |
| normalized_fact | object | Structured compensation details extracted from the contract clause and claim, such as amount, currency, payment conditions, and eligibility requirements. Attributes that cannot be determined may be left blank. |
| verification_status | string | Result of checking the compensation claim against the contract clause; Not specified indicates that the contract does not provide sufficient evidence to support the claim. |
| contract_clause_text | string | Original employment contract text related to compensation, provided as evidence for verification. |
| verification_explanation | string | Explanation of how the contract clause supports, contradicts, or fails to support the claim, helping prevent unspecified information from being treated as a contractual fact. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Source & Contact
- Downloads last month
- 39