Dragon Finance Corpus
Collection
▓▒░ A balanced corpus of public financial data across ten product classes — US and global official, keyless sources; every figure hub-measured. ░▒▓ • 11 items • Updated • 1
Dataset Viewer
The dataset viewer is not available for this subset.
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 92, in _split_generators
inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 6268, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Must pass at least one table
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 — crypto
stored: 8.01 MB · shards: 20 · class: crypto · sources: US + global official
Digital assets from US venues — Kraken and Coinbase Exchange public market data.
Part of the Dragon Finance Corpus — public financial data from US federal agencies, world official institutions and public registries. Nothing licensed, paywalled or registration-only.
Front door: Dragon-Finance-Corpus
— every card, the chunked corpus and the derived artefacts, all measured from the hub;
collection
— this repo and its siblings.
Coverage
| Spot | Kraken OHLC (20 pairs, daily/hourly) and Coinbase Exchange daily candles (24 pairs) |
| Futures positioning | held in the Commodities repo: CFTC COT for crypto futures |
Size
| metric | value |
|---|---|
| stored | 8.01 MB |
| shards | 20 |
| training-ready tokens | 1 chunk(s), ~0.000 M tokens (0.0000% of the chunked corpus) |
Training-ready text
Measured 2026-11-04 07:21 UTC over 39 of 39 shard(s), 1 counted before its latest append. Tokens use the one convention these cards share - chars / 4 over the chunked text - so each figure is reconcilable against the shards.
| source | chunks | text | tokens | share |
|---|---|---|---|---|
coinbase |
1 | 0.000 GB | 0.0 M | 0.00% |
Class attribution uses the shard path's first segment, so a tier that shares a segment with
another class (census, federalreserve, sec) is attributed to its dominant class.
Sources present
| source | jurisdiction | data | licence |
|---|---|---|---|
| Coinbase Exchange | US | product stats + daily candles | commercial (US venue) |
| Kraken | US | OHLC candles | commercial (US venue) |
| progress.png | n/a | n/a | n/a |
What you can do with it
- Track US-venue digital-asset prices
- Compare regulated futures positioning
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 |
5.8 KB |
coinbase/exchange/0000.tar |
593.9 KB |
coinbase/exchange/0001.tar |
389.1 KB |
coinbase/exchange/0002.tar |
297.0 KB |
coinbase/exchange/0003.tar |
215.0 KB |
coinbase/exchange/0004.tar |
368.6 KB |
Showing 6 of 20 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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