Sentence embeddings for document sets in DUC 2002 summarization task

vectoresoracionessets.npy​ List of sentence embeddings for each document set in the DUC 2002

n_oracionessets.npy ​List of that include the number of sentences for each document set

Example [280, 152, 82, ... ,]

In the Example the first document set consider 280 sentences, the second document set has 152 sentences. In relation with the ​vectoresoracionessets.npy ​file this must be interpreted as the first 280 sentences indexes [0-279] are part of the first document set the following 152 sentences indexes [280 - 431] are part of the second document set and so on.

vectoresdocumentossets.npy​ List of documents embeddings for each document set in the DUC 2002

n_documentossets.npy ​List of that include the number of documents for each document set

Example [6, 8, 10, ... ,]

In the Example the first document set consider 6 documents, the second document set has 8 documents. In relation with the ​vectoresdocumentossets.npy ​file this must be interpreted as the first 6 documents indexes [0-5] are part of the first document set the following 8 documents indexes [6 - 14] are part of the second document set and so on.

vectorescentroidessets.npy ​List of embeddings for each document set in the DUC 2002 oracionesGSA.npy ​List of index for each sentence selected in the gold-standard

summaries A in the DUC 2002

oracionesGSB.npy ​List of index for each sentence selected in the gold-standard summaries B in the DUC 2002

CE_D, CE_S, CE_Set ​Folders include the central embedding and the list of index for each sentence in the generated summary for each proposed method.

Ejemplo_set0 ​Folder includes the example data plotted as result in the linked article