The dataset viewer is not available for this subset.
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 80, 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.
ARB OfficeQA data packet
The training data packet of Applied RSI Bench's (ARB) OfficeQA benchmark: the documents a
post-training agent may study before it trains a model for OfficeQA, Databricks' questions on
the U.S. Treasury Bulletin (1939-2025). One archive, L.tar.gz, built by ARB's data_packet
pipeline (map, scout, script, list, build) from OfficeQA's questions without their answers,
kept to sources whose terms allow redistribution, plus OfficeQA's own corpus.
| documents | 14,030 |
| text | 7.33 GB of normalized text |
| archive | L.tar.gz, 1,348,189,673 bytes, sha256 f3656e69260c33573702dac15a7c4ca5b01d239054d1a80f55f172c0ee9a3410 |
| tree | sha256 392f57cd096f9ad69767cbf93c3fe837adf85ef508c835273068313b6bb804cb over PACKET.json's paths and hashes |
| built | 2026-10-06 |
What it holds
| source | documents |
|---|---|
U.S. Treasury Bulletin, every issue January 1939 to September 2025 (fraser.stlouisfed.org/treasury-bulletin-407/) |
697 |
| Bureau of the Fiscal Service (fiscal.treasury.gov, fiscaldata.treasury.gov and its API) | 3,748 |
| Federal Reserve Board releases and data (federalreserve.gov) | 1,916 |
| U.S. Treasury (home.treasury.gov, treasury.gov, TIC and foreign-currency reports) | 1,290 |
| Export-Import Bank digital archives | 999 |
| Bureau of Labor Statistics (CPI-U and other series, handbooks, releases) | 995 |
| IRS Data Book and Statistics of Income | 963 |
| NIST/SEMATECH Engineering Statistics Handbook | 897 |
| other U.S. federal agencies (Railroad Retirement Board 592, Census 546, GovInfo 300, FCA 222, TTB 196, DOL 127, CMS 122, White House and OMB 124, and 12 more) | 2,468 |
| Wikipedia | 57 |
Licenses and attribution
- The Treasury Bulletin texts are Databricks' parsed text of the bulletins, from the Hugging
Face dataset
databricks/officeqa(revision763a8366,treasury_bulletins_parsed/transformed), licensed CC BY-SA 4.0 by Databricks ("OfficeQA: A Grounded Reasoning Benchmark", 2025). The bulletins themselves are U.S. Treasury publications, archived by FRASER (Federal Reserve Bank of St. Louis); each document carries its issue page's FRASER address. - Wikipedia texts are CC BY-SA 4.0.
- Everything else is a work of the U.S. federal government (17 U.S.C. § 105).
Pages from hosts whose terms do not allow redistribution (FRED, regional Federal Reserve
Banks, FRASER's other publications, archive mirrors, foreign and international bodies) are left
out; PACKET.json lists every file with its source URL.
No OfficeQA questions or answers
OfficeQA's dataset terms forbid using its answer keys to train models evaluated on OfficeQA. The
build read the questions without their answers, and the packet holds neither. A 16-gram check
(ARB's python -m contamination overlap) finds 0 of OfficeQA's 206 test questions with 25 % or
more of their 16-word spans in the packet; no 16-word span of any of them appears in it.
- Downloads last month
- -