Dragon Finance Corpus
Collection
A balanced corpus of public financial data across product classes. • 11 items • Updated • 1
Dataset Viewer
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Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 84, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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 — insurance
Insurance and pensions — employee benefit plans, variable insurance products, flood insurance.
Part of the Dragon Finance Corpus — US public financial data from federal and official sources only. Nothing licensed, paywalled or registration-only.
The chart is regenerated from hub measurements by publish_product_visuals(): the filled bar
is what the Hugging Face hub reports as stored for this repository, the dashed line is this
class's budget. The per-class growth curve needs two samples to draw and fills in as the
supervisor records them.
Coverage
| Pensions and welfare plans | DOL Form 5500 filings |
| Insurance products | SEC variable insurance product filings |
| Flood insurance | FEMA openFEMA NFIP policies and claims |
Size
| metric | value |
|---|---|
| stored | 44.67 GB |
| shards | 261 |
Sources present
| source | jurisdiction | data | licence |
|---|---|---|---|
| US DOL | US | Form 5500 filings | US public record |
| openFEMA | US | NFIP policies and claims | public |
| progress.png | n/a | n/a | n/a |
| SEC variable-insurance-product-data-sets | US | SEC bulk data set | US public record |
What you can do with it
- Study plan funding and participation
- Analyse flood-insurance exposure
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 |
3.0 KB |
dol/form5500/0000.tar |
138.44 MB |
dol/form5500/0001.tar |
35.49 MB |
dol/form5500/0002.tar |
75.86 MB |
dol/form5500/0003.tar |
182.65 MB |
dol/form5500/0004.tar |
51.40 MB |
Showing 6 of 261 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.
Not advice, no warranty, no endorsement. Compiled from third-party public sources and provided 'as is': derived and model-generated content may be wrong, and source material is routinely restated, amended or superseded. No source agency, exchange or company has reviewed, approved or endorsed this dataset, and none is affiliated with its publisher. Do not use it to re-identify any person, to manipulate any market, or as the sole basis for any decision about any person, entity or instrument. Terms of use:
DISCLAIMER.md.
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