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README.md
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---
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license:
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task_categories:
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- token-classification
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language:
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- es
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---
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The tags used are `UTE` (seen 656 times) and `SINGLE_COMPANY` (seen 530 times).
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---
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license: cc-by-2.0
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task_categories:
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- token-classification
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language:
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- es
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---
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# Dataset Card for NextProcurement-NER-Spanish-UTE-Company-annotated
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## Dataset Description
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- **Point of Contact:** [email protected]
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### Dataset Summary
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This dataset in IOB2-format contains annotations of mentions of UTEs (Unión Temporal de Empresas) and companies in public tenders.
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The annotated documents are the results of text extraction from PDF files using OCR, with the corresponding transcription errors.
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The tags used are `UTE` (seen 656 times) and `SINGLE_COMPANY` (seen 530 times).
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### Supported Tasks and Leaderboards
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Token classification
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### Languages
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The dataset is in Catalan (`es-ES`).
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## Dataset Structure
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### Data Instances
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```
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En O
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resumen O
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, O
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la O
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documentación O
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técnica O
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presentada O
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por O
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el O
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solicitante O
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VIAS B-SINGLE_COMPANY
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Y I-SINGLE_COMPANY
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CONSTRUCCIONES I-SINGLE_COMPANY
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, I-SINGLE_COMPANY
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S.A. I-SINGLE_COMPANY
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, O
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ha O
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obtenido O
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una O
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valoración O
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total O
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( O
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Vt O
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) O
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de O
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: O
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25,10 O
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puntos O
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. O
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La O
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puntuación O
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total O
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( O
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Pt O
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) O
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es O
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de O
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31,78 O
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puntos O
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. O
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```
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### Data Fields
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[N/A]
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### Data Splits
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The dataset contains a single file.
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## Dataset Creation
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### Source Data
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#### Initial Data Collection and Normalization
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The source data are scraped public tender documents from the European portal for public procurement, Tenders Electronic Daily (TED),
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and for the Spanish State Contracting Platform (PLACE).
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The text is extracted from the original PDF files, performing OCR on the scanned documents.
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#### Who are the source language producers?
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Spanish Public administrations.
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### Annotations
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#### Annotation process
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The documements have been manually annotated with the Prodigy Annotation tool.
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#### Who are the annotators?
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Personnel from the Language Technologies Unit at the Barcelona Supercomputing Center
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### Personal and Sensitive Information
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No personal or sensitive information included.
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## Considerations for Using the Data
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### Social Impact of Dataset
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[N/A]
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### Discussion of Biases
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[N/A]
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### Other Known Limitations
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[N/A]
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## Additional Information
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### Dataset Curators
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Language Technologies Unit at the Barcelona Supercomputing Center ([email protected]).
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This work has been promoted and financed by the European Commission Health and Digital Executive Agency, Connecting Europe Facility,
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Grant Agreement Nº INEA/CEF/ICT/A2020/2373713
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Action Title Open Harmonized and Enriched Procurement Data Platform (nextProcurement)
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Action number 2020-ES-IA-0255
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### Licensing Information
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This work is licensed under a [Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/deed.en).
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### Citation Information
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[N/A]
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### Contributions
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[N/A]
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