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Datasets:
OpenMLDatasets
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ted_2025_08_sample

Modalities:
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Text
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
dataset
procurement
europe
tenders
machine-learning
nlp
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metadata
language:
  - en
tags:
  - dataset
  - procurement
  - europe
  - tenders
  - machine-learning
  - nlp
  - financial-data
  - public-sector
license: other
pretty_name: EU Public Procurement — August 2025
size_categories:
  - 100K<n<1M

EU Public Procurement — August 2025 (Enriched CSV)

This dataset contains all public procurement notices from August 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 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 Sumant B,
    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