File size: 2,443 Bytes
81d1e39 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | # EU Public Procurement — July 2025 (Enriched CSV)
This dataset contains **all public procurement notices from July 2025**,
parsed and enriched from the European Union's [TED (Tenders Electronic Daily)](https://ted.europa.eu/).
The **full dataset (200,000+ rows)** is available for purchase here: [Full Dataset on Gumroad](https://openmldatasets.gumroad.com/l/rexjp)
## Free Sample vs Full Dataset
| Feature | Free Sample (this repo) | Full Dataset (Gumroad) |
|--------------------|--------------------------|--------------------------|
| Rows | 100 | 260,000+ |
| File size | ~50 KB | ~150 MB+ |
| Format | CSV (UTF-8) | CSV (UTF-8) |
| Columns | 11 (see below) | 11 (same schema) |
## Contents
- Procurement notices parsed from official TED XML
- Normalized, analysis-ready columns:
- `notice_id` — unique identifier of the notice
- `publication_date` — publication date (ISO 8601, may include timezone offset)
- `buyer_id` — anonymized buyer/organization ID
- `cpv_code` — Common Procurement Vocabulary (CPV 2008, 8-digit)
- `lot_id` — identifier for the procurement lot
- `lot_name` — contract title (local language)
- `lot_description` — contract description (local language)
- `award_value` — award value (in euros, numeric)
- `currency` — contract currency
- `source_file` — original TED XML file
- `cpv_label` — CPV 2008 English description
## Added Value
While the raw TED data is free and open, this dataset provides:
- Parsed and normalized structure (from thousands of XML files → single CSV)
- Automatic CPV 2008 code enrichment with human-readable labels
- Ready for machine learning pipelines and analytics without preprocessing
## Source & License
- Contains information from the EU’s TED portal.
© European Union. Reuse governed by **Commission Decision 2011/833/EU**.
No endorsement by the European Union is implied.
- Enrichment (parsing, CPV mapping, packaging) © 2025 OpenML Datasets,
released under **Creative Commons Zero v1.0 Universal (CC0)**.
## Suggested Uses
- **Machine learning**: NER, classification, contract value forecasting
- **Market intelligence**: sector and supplier mapping
- **Procurement research**: transparency, competition, and cross-country studies |