Dataset Viewer
Duplicate
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:    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 byte

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.

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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