---
pretty_name: Stocks Weekly Government Contracts Entities
language:
- en
license: other
task_categories:
- time-series-forecasting
- tabular-regression
tags:
- finance
- quantitative-trading
- backtesting
- algorithmic-trading
- stocks
- equities
- weekly
size_categories:
- 100K<n<1M
extra_gated_prompt: "This dataset is free to browse and gated for download. Approval is tied to a Papers With Backtest subscription, which also covers the other datasets in this organisation and the strategy catalogue at https://paperswithbacktest.com. Plans and what each one includes: https://paperswithbacktest.com/pricing"
dataset_info:
  features:
  - name: symbol
    dtype: string
  - name: recipient_uei
    dtype: string
  - name: recipient_parent_uei
    dtype: string
  - name: recipient_name
    dtype: string
  - name: recipient_parent_name
    dtype: string
  - name: names
    dtype: string
  - name: similarity
    dtype: float64
  - name: bloomberg_share_id
    dtype: string
  splits:
  - name: train
    num_examples: 662714
---

# Stocks Weekly Government Contracts Entities

Weekly universe of government contract recipients and parents mapped to public tickers.

**662,714 rows** over 15,680 symbols, 8 columns. Updated by Papers With Backtest.

## Why It Matters

This dataset connects government award entities to tradable tickers by:

- **Exposure mapping:** Links subsidiaries and parents to listed equities for accurate government revenue attribution.
- **Counterparty risk:** Track changes in recipient status, ownership, or cage codes that may impact eligibility.
- **Pipeline discovery:** Expanding entity footprints can indicate contract momentum before revenue is reported.

## Load It

**Installation/Upgrade:**

```bash
pip install --upgrade pwb-toolbox
```

**Load the Dataset:**

```python
from pwb_toolbox import datasets as pwb_ds

df = pwb_ds.load_dataset("Stocks-Weekly-GovernmentContractsEntities", symbols=["GD"])
print(df.iloc[0, :])
```

**Example Output:**

```
symbol                                                       GD
recipient_uei                                      C16WE1ZDKT21
recipient_parent_uei                               VF58HFRNGEL8
recipient_name           QBASE-MCNEIL INTEGRATED SOLUTIONS RLLP
recipient_parent_name                     GENERAL DYNAMICS CORP
names                                     GENERAL DYNAMICS CORP
similarity                                                  1.0
bloomberg_share_id                                         None
```

## Columns

| Column Name | Description |
| :--- | :--- |
| **symbol** | Public company ticker linked to the recipient. |
| **recipient_uei** | Unique entity identifier for the recipient. |
| **recipient_parent_uei** | Unique entity identifier for the recipient's parent. |
| **recipient_name** | Name of the contract recipient. |
| **recipient_parent_name** | Name of the recipient's parent entity. |
| **names** | Matched company names associated with the ticker. |
| **similarity** | Similarity score between the entity and ticker. |
| **bloomberg_share_id** | Bloomberg share identifier for the matched entity. |

## Access

Browsing the card and the schema is open to anyone. Downloading the files needs an approved request, tied to a subscription: [what each plan includes](https://paperswithbacktest.com/pricing). The same subscription covers the other datasets in this organisation.

## Elsewhere

- [Dataset page and coverage charts](https://paperswithbacktest.com/datasets/stocks-weekly-governmentcontractsentities)
- [The strategy catalogue](https://paperswithbacktest.com/strategies), 3,806 papers and 4,837 replicated strategies
- [`pwb-toolbox`](https://github.com/paperswithbacktest/pwb-toolbox), the loader used in the snippet above
- [`awesome-systematic-trading`](https://github.com/paperswithbacktest/awesome-systematic-trading), the replicated strategies with their measured Sharpe
- [Every dataset in this organisation](https://huggingface.co/datasets/paperswithbacktest)

Papers With Backtest publishes 32 datasets on the Hub and codes the papers that use them. Every strategy in the catalogue is run over its own full history before it is published, which is where the numbers above come from.