Dragon Finance Corpus
Collection
A balanced corpus of public financial data across product classes. • 10 items • Updated
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1539, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
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 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1419, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 976, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 794, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1401, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1579, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
csv unknown | __key__ string | __url__ string |
|---|---|---|
[
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11... | yield_curve_1990 | hf://datasets/dragonlimited/Dragon-Finance-Rates@b53de0eb1599a8e43c187b0a15ecb569cbd35297/data/treasury/0000.tar |
[
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11... | yield_curve_1991 | hf://datasets/dragonlimited/Dragon-Finance-Rates@b53de0eb1599a8e43c187b0a15ecb569cbd35297/data/treasury/0000.tar |
[
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11... | yield_curve_1992 | hf://datasets/dragonlimited/Dragon-Finance-Rates@b53de0eb1599a8e43c187b0a15ecb569cbd35297/data/treasury/0000.tar |
[
68,
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11... | yield_curve_1993 | hf://datasets/dragonlimited/Dragon-Finance-Rates@b53de0eb1599a8e43c187b0a15ecb569cbd35297/data/treasury/0000.tar |
[
68,
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116,
101,
44,
34,
51,
32,
77,
111,
34,
44,
34,
54,
32,
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34,
44,
34,
49,
32,
89,
114,
34,
44,
34,
50,
32,
89,
114,
34,
44,
34,
51,
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89,
114,
34,
44,
34,
53,
32,
89,
114,
34,
44,
34,
55,
32,
89,
11... | yield_curve_1994 | hf://datasets/dragonlimited/Dragon-Finance-Rates@b53de0eb1599a8e43c187b0a15ecb569cbd35297/data/treasury/0000.tar |
[
68,
97,
116,
101,
44,
34,
51,
32,
77,
111,
34,
44,
34,
54,
32,
77,
111,
34,
44,
34,
49,
32,
89,
114,
34,
44,
34,
50,
32,
89,
114,
34,
44,
34,
51,
32,
89,
114,
34,
44,
34,
53,
32,
89,
114,
34,
44,
34,
55,
32,
89,
11... | yield_curve_1995 | hf://datasets/dragonlimited/Dragon-Finance-Rates@b53de0eb1599a8e43c187b0a15ecb569cbd35297/data/treasury/0000.tar |
[
68,
97,
116,
101,
44,
34,
51,
32,
77,
111,
34,
44,
34,
54,
32,
77,
111,
34,
44,
34,
49,
32,
89,
114,
34,
44,
34,
50,
32,
89,
114,
34,
44,
34,
51,
32,
89,
114,
34,
44,
34,
53,
32,
89,
114,
34,
44,
34,
55,
32,
89,
11... | yield_curve_1996 | hf://datasets/dragonlimited/Dragon-Finance-Rates@b53de0eb1599a8e43c187b0a15ecb569cbd35297/data/treasury/0000.tar |
[
68,
97,
116,
101,
44,
34,
51,
32,
77,
111,
34,
44,
34,
54,
32,
77,
111,
34,
44,
34,
49,
32,
89,
114,
34,
44,
34,
50,
32,
89,
114,
34,
44,
34,
51,
32,
89,
114,
34,
44,
34,
53,
32,
89,
114,
34,
44,
34,
55,
32,
89,
11... | yield_curve_1997 | hf://datasets/dragonlimited/Dragon-Finance-Rates@b53de0eb1599a8e43c187b0a15ecb569cbd35297/data/treasury/0000.tar |
[
68,
97,
116,
101,
44,
34,
51,
32,
77,
111,
34,
44,
34,
54,
32,
77,
111,
34,
44,
34,
49,
32,
89,
114,
34,
44,
34,
50,
32,
89,
114,
34,
44,
34,
51,
32,
89,
114,
34,
44,
34,
53,
32,
89,
114,
34,
44,
34,
55,
32,
89,
11... | yield_curve_1998 | hf://datasets/dragonlimited/Dragon-Finance-Rates@b53de0eb1599a8e43c187b0a15ecb569cbd35297/data/treasury/0000.tar |
"RGF0ZSwiMyBNbyIsIjYgTW8iLCIxIFlyIiwiMiBZciIsIjMgWXIiLCI1IFlyIiwiNyBZciIsIjEwIFlyIiwiMjAgWXIiLCIzMCB(...TRUNCATED) | yield_curve_1999 | "hf://datasets/dragonlimited/Dragon-Finance-Rates@b53de0eb1599a8e43c187b0a15ecb569cbd35297/data/trea(...TRUNCATED) |
End of preview.
Dragon Finance — rates
US sovereign rates and public finance — the risk-free curve and federal cash flows.
Part of the Dragon Finance Corpus — US public financial data from federal and official sources only. Nothing licensed, paywalled or registration-only.
Coverage
| Yield curve | Treasury daily yield curve, all maturities |
| Auctions | TreasuryDirect auction results |
| Fiscal | Treasury fiscal data: debt to the penny, average interest rates, interest expense, FX rates |
Size
| metric | value |
|---|---|
| stored | 687.8 KB |
| shards | 3 |
Sources present
| source | jurisdiction | data | licence |
|---|---|---|---|
| US Treasury | US | daily yield curve | public domain |
| treasurydirect | n/a | n/a | n/a |
What you can do with it
- Build discount curves
- Track issuance and auction demand
- Monitor federal interest cost
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 |
1.7 KB |
data/treasury/0000.tar |
675.8 KB |
treasurydirect/auctions/0000.tar |
10.2 KB |
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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