---
license: cc-by-4.0
task_categories:
  - text-classification
  - text-generation
  - summarization
  - token-classification
  - question-answering
language:
  - en
tags:
  - government
  - procurement
  - public-sector
  - RFP
  - RFQ
  - IFB
  - contracts
  - United States
  - historical
  - open-data
pretty_name: US Government Bids — Historical Sample
size_categories:
  - 1K<n<10K
---

# 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](https://procuretap.com) — 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](https://creativecommons.org/licenses/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_date` less 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`](https://huggingface.co/datasets/ProcureTap/us-government-procurement-stats).

## About ProcureTap

[ProcureTap](https://procuretap.com) 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).