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Datasets:
BSC-LT
/
NextProcurement-NER-Spanish-UTE-Company-annotated

Tasks:
Token Classification
Languages:
Spanish
Tags:
License:
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: O
0 O
ALTA O
VELOCIDAD O
... O
É O
D O
| O
m O
S O
DATOS O
DE O
LA O
LICITACIÓN O
: O
Ó O
al O
—— O
S O
Z O
É O
; O
EJECUCIÓN O
DE O
LAS O
OBRAS O
DEL O
PROYECTO O
DE O
a O
A O
CONSTRUCCIÓN O
DE O
LA O
ADECUACIÓN O
DE O
LAS O
VÍAS O
, O
Ç O
Expediente O
: O
3.19 O
/ O
20830.0271 O
ANDENES O
Y O
ELECTRIFICACIÓN O
DE O
LA O
ESTACIÓN O
DE O
POLA O
a O
DE O
LENA O
x O
x O
V O
lA O
ã O
\ O
Plazo O
de O
ejecución O
del O
contrato O
\ O
DIEZ O
( O
10 O
) O
MESES O
\ O
x O
r O
rrrr O
— O
2 O
\ O
BASE O
IMPONIBLE O
IVA O
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Dataset Card for NextProcurement-NER-Spanish-UTE-Company-annotated

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.

Citation Information

[N/A]

Contributions

[N/A]

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Point of Contact:
langtech@bsc.es
Size of downloaded dataset files:
1.92 MB
Size of the auto-converted Parquet files:
1.1 MB
Number of rows:
262,809

Models trained or fine-tuned on BSC-LT/NextProcurement-NER-Spanish-UTE-Company-annotated