OpenMLDatasets/ted_2025_07_sample
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). 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 100 260,000+ File size ~50 KB ~150 MB+ Format CSV (UTF-8) CSV (UTF-8) Columns… See the full description on the dataset page: https://huggingface.co/datasets/OpenMLDatasets/ted_2025_07_sample.
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).
The full dataset (200,000+ rows) is available for purchase here: Full Dataset on Gumroad
Free Sample vs Full Dataset
Contents
- Procurement notices parsed from official TED XML
- Normalized, analysis-ready columns:
notice_id— unique identifier of the noticepublication_date— publication date (ISO 8601, may include timezone offset)buyer_id— anonymized buyer/organization IDcpv_code— Common Procurement Vocabulary (CPV 2008, 8-digit)lot_id— identifier for the procurement lotlot_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 estimatedbest_value_source— which field thebest_valuecame fromcurrency— contract currencysource_file— original TED XML filecpv_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
