The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0x93 in position 8262: invalid start byte
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2569, in __iter__
for key, example in self.ex_iterable:
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 336, in __iter__
for key_example in islice(self.generate_examples_fn(**gen_kwargs), shard_example_idx_start, None):
~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 58, in _get_pipeline_from_tar
current_example[field_name] = cls.DECODERS[data_extension](current_example[field_name])
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 301, in text_loads
return data.decode("utf-8")
~~~~~~~~~~~^^^^^^^^^
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x93 in position 8262: invalid start byteNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dragon Finance — macro
US economic and market statistics — prices, output, employment, income, trade and household wealth.
Part of the Dragon Finance Corpus — US public financial data from federal and official sources only. Nothing licensed, paywalled or registration-only.
Coverage
| Prices | CPI, PPI (BLS) |
| Activity | GDP, income, employment by state and county (BEA) |
| Labour | QCEW employment and wages by industry and county, 1986–present |
| Trade | Census international trade by commodity and country |
| Business dynamics | firm entry, exit and job creation |
| Rates and money | FRED series |
| Wealth | Fed distributional accounts, SCF |
| Tax | IRS Statistics of Income, Form 990 |
| Utterances | Federal Reserve speeches, FOMC, press |
Size
| metric | value |
|---|---|
| stored | 67.53 GB |
| shards | 99 |
Sources present
| source | jurisdiction | data | licence |
|---|---|---|---|
| BEA | US | regional accounts | public |
| BLS | US | QCEW employment and wages | public |
| US Census | US | trade, housing, business dynamics | public |
| BLS | US | CPI / PPI flat files | public |
| US Census | US | economic census, ACS, CBP | public |
| FRED | US | rates + macro series | CC-BY-4.0 |
| Federal Reserve | US | Z.1 accounts, SCF, DFA | public |
| FRED (St. Louis Fed) | US | rates + macro series | CC-BY-4.0 |
| IRS | US | Statistics of Income / Form 990 | US public record |
What you can do with it
- Build macro panels from official series
- Benchmark regional activity and wages
- Analyse household wealth distribution
- Study firm dynamics by industry
For engineers
Data is stored as tar shards (the hub caps a directory at 10,000 files and these tiers run to millions). Members keep their original names and relative paths.
import tarfile
with tarfile.open("0000.tar") as tf:
print(tf.getnames()[:5])
tf.extractall("out/")
| shard | size |
|---|---|
README.md |
2.6 KB |
bea/national/0000.tar |
71.7 KB |
bea/regional/0000.tar |
75.33 MB |
bls/flat-files/0000.tar |
1.46 GB |
bls/series-data/0000.tar |
6.26 GB |
bls/series-data/0001.tar |
12.86 GB |
Showing 6 of 99 shards.
Every shard records its sha256 in the pipeline ledgers; shards are append-only, so a resumed run re-uploads only what changed. A shard with a failed member is never marked complete, so missed files are retried rather than dropped.
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