Datasets:
Languages:
English
Size:
1K - 10K
Tags:
procurement
government-contracts
alternative-data
finance
quantitative-finance
entity-resolution
License:
| license: other | |
| license_name: valan-evaluation-license | |
| license_link: https://valan.io/legal | |
| pretty_name: Valan Procurement Intelligence — Public Sample | |
| language: | |
| - en | |
| tags: | |
| - procurement | |
| - government-contracts | |
| - alternative-data | |
| - finance | |
| - quantitative-finance | |
| - entity-resolution | |
| - point-in-time | |
| - tabular | |
| - awards | |
| - tenders | |
| size_categories: | |
| - 1K<n<10K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: valan_sample_1k_fin_awards.parquet | |
| # Valan Procurement Intelligence — Public Sample | |
| **A free 1,000-row sample of the [Valan Technologies](https://valan.io) global procurement intelligence feed: point-in-time, entity-resolved government contract awards linked to the awarded company's tradable security (ticker / LEI / ISIN).** | |
| Valan Technologies maintains one of the most comprehensive privately-held public procurement datasets in existence: **100M+ contract awards and tenders from 150+ government sources across 222 countries and territories**, in 8 languages, updated daily, entity-resolved against a 72.4-million-row global company master. This dataset is the public evaluation slice. Feed snapshot: **2026-05-30**. | |
| | | | | |
| |---|---| | |
| | 📖 Full data dictionary | [DATA_DICTIONARY.md](DATA_DICTIONARY.md) · [valan.io/data-dictionary](https://valan.io/data-dictionary) | | |
| | 🧠 Machine-readable corpus | [valan.io/llms-full.txt](https://valan.io/llms-full.txt) | | |
| | 📚 Glossary / FAQ | [valan.io/glossary](https://valan.io/glossary) | | |
| | 📰 Research built on this data | [valan.io/research](https://valan.io/research) | | |
| | 🐙 GitHub mirror | [IrishJohn1973/valan-procurement-sample](https://github.com/IrishJohn1973/valan-procurement-sample) | | |
| | 💼 Full feed access | john@valan.io | | |
| ## What's in each row | |
| A government contract award — buyer, supplier, date, value, currency, procurement category (CPV / VPV / NAICS) — resolved to the supplier's legal entity (LEI), primary listing (ISIN, exchange, MIC), and **point-in-time ticker**: | |
| - **`ticker_as_of`** with **`pit_confirmed = True`** — the ticker **as of the award date**, sourced from a genuine dated listing window. **Forward-bias-free. Use this for backtests.** | |
| - **`ultimate_parent_ticker`** — the supplier's **current** parent rollup (who owns it *today*), not as-of the award. Useful for screening; look-ahead present. | |
| The reference loader (`valan_sample_loader.py`, requires `pandas` + `pyarrow`) demonstrates PIT-correct filtering and keeps the two concepts strictly separate. The design rule across the full feed: a ticker is either genuinely point-in-time or honestly NULL — never a current value dressed as as-of. | |
| ## Scope — read first | |
| This is a **curated investable-only slice** (`investable_flag = True` on every row). In the full universe only **~17%** of awards (12.3M of 71.9M) carry a tradable ticker — **do not extrapolate coverage from this file.** It demonstrates the schema, identity resolution, and point-in-time mechanics, not the live hit-rate. | |
| `award_value` is in **local currency** (`currency` column; this slice spans AUD, BRL, CZK, EUR, HUF, PLN, USD). Never sum across currencies. For real obligated value use `value_type = 'award'`, positive value, and exclude IDIQ/framework ceilings (`value_is_ceiling = True`). | |
| ## Compliance (verified at export) | |
| PII-clean (email PII removed, verified zero; business-contact phones retained as published procurement data). No PRC-sourced data (`ccgp_*` sources and `buyer_country = 'CN'` excluded). Russia/Belarus excluded on/after 2022-02-24. CUI/radioactive rows excluded from the standard feed. No sanctioned buyer or supplier present in this slice. | |
| ## The full feed | |
| | Table | Rows | What it is | | |
| |---|---|---| | |
| | `fin_awards` | 71,888,513 | Financial-modelled awards (12,345,679 investable) — this sample's schema | | |
| | `master_awards` | 71,857,265 | Text-rich awards: titles, descriptions, source URLs | | |
| | `fin_tenders` | 24,984,433 | Open solicitations — the forward pipeline | | |
| | `master_tenders` | 24,274,179 | Descriptive tenders | | |
| | `entity_dim` | 312,156 | LEI-bridged company dimension | | |
| | `subcontract_graph` | 3,311,541 | Sub→prime contract linkage with tier depth | | |
| Daily refresh · S3 parquet delivery · SHA256-checksummed manifests · by institutional arrangement: **john@valan.io** | |
| ## License | |
| Sample data is free for evaluation, research, and benchmarking with attribution to *Valan Technologies (valan.io)*. The loader script is MIT. Underlying records originate from publicly available government procurement portals. The full feed is licensed separately. Not investment advice. | |
| © 2026 Valan Technologies Limited, Wicklow, Ireland (CRO 802395). | |