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/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
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: JSON parse error: Column(/estimated_value_min) changed from number to string in row 201
During handling of the above exception, another exception occurred:
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/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Value is too big!
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 71, 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.
US Government Bids — Historical Sample
10,000 historical US government procurement bids with full titles, descriptions, and structured metadata. All bids in this dataset have due dates at least 30 days in the past — this is a historical corpus for research and ML training, not a live opportunity feed.
Source: ProcureTap — aggregated from 290+ federal, state, and local procurement portals (SAM.gov, Grants.gov, state portals, Bonfire, PlanetBids, Jaggaer, BidNet Direct, DemandStar, and many more).
License: CC-BY-4.0. Free to redistribute with attribution.
Refresh cadence: Monthly.
Citation:
ProcureTap (2026). US Government Bids — Historical Sample. https://huggingface.co/datasets/ProcureTap/us-government-bids-sample
Schema
Each line in bids.jsonl is a JSON object with the following fields:
| Field | Type | Description |
|---|---|---|
id |
int | ProcureTap internal ID (stable, referenceable at procuretap.com/bid/{id}) |
external_id |
string | null | Original solicitation number from the source system |
title |
string | Bid title (as scraped from source, may include prefixes/codes) |
description |
string | Bid description text (truncated to 2,500 characters where longer) |
state |
string | null | 2-letter US state code (federal bids may be null or "US") |
city |
string | null | City if location-specific |
industry |
string | null | Industry classification (comma-separated for multi-industry) |
bid_type |
string | null | RFP / RFQ / IFB / ITB / etc. |
status |
string | closed / awarded / open (open here means due_date past but source system hasn't marked closed yet) |
posted_date |
string (ISO 8601) | null | Date bid was posted by the agency |
due_date |
string (ISO 8601) | Deadline for responses (always >30 days in the past for this dataset) |
award_date |
string (ISO 8601) | null | If awarded, the date of award |
estimated_value_min |
number | null | Lower bound of contract value in USD (where disclosed) |
estimated_value_max |
number | null | Upper bound of contract value in USD (where disclosed) |
source_url |
string | null | URL to the original source posting |
source_platform |
string | null | The originating platform (e.g., sam_gov, bonfire, planetbids) |
org_name |
string | null | Name of the issuing agency/organization |
org_type |
string | null | Agency type (federal, state, city, county, school_district, hospital, university, etc.) |
org_state |
string | null | The state where the organization is based |
What is EXCLUDED
To protect privacy and honor the terms of aggregation from source systems:
- Contact information (name, email, phone) is stripped from every record
- Full RFP document text is not included (only the bid metadata + description)
- No bids with
due_dateless than 30 days ago (protects the value of live procurement data) - No bids with descriptions shorter than 100 characters (low signal)
- No bids with titles shorter than 10 characters (usually stubs or errors)
Suggested uses
- Text classification: train models to classify RFPs by industry, agency type, or contract type
- Named-entity recognition: extract dollar amounts, deadline dates, set-aside categories, geographic locations
- Summarization: generate short summaries of long procurement descriptions
- Question answering: answer questions about historical government procurement patterns
- Embedding models: build vector representations of procurement documents for similarity search
- Baseline data: benchmark procurement-aware AI assistants against real-world procurement text
Related dataset
For aggregate statistics (bid counts by state, industry, agency, total value), see ProcureTap/us-government-procurement-stats.
About ProcureTap
ProcureTap is a US government procurement bid aggregation platform. Free tier lets anyone browse and search 200,000+ active government contracts across federal, state, and local agencies. Pro tier ($99/mo) adds instant email alerts, unlimited saved searches, and full document access. The live data on procuretap.com is refreshed every 6 hours.
If this dataset is useful to your work, attribution back to procuretap.com is appreciated (though not legally required beyond CC-BY-4.0 terms).
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