OpenMLDatasets/ted_2025_08_sample

EU Public Procurement — August 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).

The full dataset (200,000+ rows) is available for purchase here: Full Dataset on Gumroad

Free Sample vs Full Dataset

Feature	Free Sample (this repo)	Full Dataset (Gumroad)
Rows	100	200,000+
File size	~50 KB	~120 MB+
Format	CSV (UTF-8)	CSV (UTF-8)
Columns	14 (see below)	14 (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 — contract award value (when available, numeric)
  • final_value — overall contract value at notice/result level (if present)
  • best_value — most reliable value selected among award, final, and estimated
  • best_value_source — which field the best_value came from
  • 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
• Multiple contract value fields (award, final, best) for flexible analysis
• 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