Update README.md

README.md

@@ -1,12 +1,154 @@
 ---
-license: apache-2.0
+license: cc-by-2.0
 task_categories:
 - token-classification
 language:
 - es
 ---
 
-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.
+
+# 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]