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