Global Value Factor Database (GVFD) - Visualisation And Data
Collection
Version controlled refactors for data analysis of the Global Value Factor Database (GVFD) by the International Foundation for Valuing Impacts (IFVI). • 3 items • Updated
Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
country_data: struct<Africa: list<item: struct<country: string, emoji: string, url: string>>, Asia: list<item: struct<country: string, emoji: string, url: string>>, Europe: list<item: struct<country: string, emoji: string, url: string>>, North America: list<item: struct<country: string, emoji: string, url: string>>, South America: list<item: struct<country: string, emoji: string, url: string>>, Oceania: list<item: struct<country: string, emoji: string, url: string>>>
vs
Territory: string
Topic: string
Category: string
Location: string
Impact: string
Reference: string
Units: string
Value: string
Traceback: 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/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
return next(iter(self.iter(batch_size=n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
for key, example in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 543, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
country_data: struct<Africa: list<item: struct<country: string, emoji: string, url: string>>, Asia: list<item: struct<country: string, emoji: string, url: string>>, Europe: list<item: struct<country: string, emoji: string, url: string>>, North America: list<item: struct<country: string, emoji: string, url: string>>, South America: list<item: struct<country: string, emoji: string, url: string>>, Oceania: list<item: struct<country: string, emoji: string, url: string>>>
vs
Territory: string
Topic: string
Category: string
Location: string
Impact: string
Reference: string
Units: string
Value: stringNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
⚠️ DEPRECATED - Dataset Superseded by V2
This refactored IFVI value factor dataset has been supplanted by V2.
This dataset tracked the V2 of the IFVI release that was updated in March 2025. The V2 of the refactored analytical dataset tracking the GVFD was released on August 20th, 2025 and is now available at:
🔗 IFVI Global Value Factors Dataset V2
Please use the V2 dataset for all new projects and analysis.
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