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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:** langtech@bsc.es |
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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 (langtech@bsc.es). |
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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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