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<dbpedia:Parlour_music>
Parlour music
Parlour music is a type of popular music which, as the name suggests, is intended to be performed in the parlours of middle-class homes by amateur singers and pianists. Disseminated as sheet music, its heyday came in the 19th century, as a result of a steady increase in the number of households with enough surplus cash to purchase musical instruments and instruction in music, and with the leisure time and cultural motivation to engage in recreational music-making.
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<dbpedia:Third-party_administrator>
Third-party administrator
"A third-party administrator (TPA) is an organization that processes insurance claims or certain as(...TRUNCATED)
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<dbpedia:Indigenous_land_rights>
Indigenous land rights
"Indigenous land rights are the rights of indigenous peoples to land, either individually or collect(...TRUNCATED)
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<dbpedia:Agagite>
Agagite
"The term Agagite is used in the Book of Esther as a description of Haman. The term is understood t(...TRUNCATED)
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<dbpedia:Vanoise_National_Park>
Vanoise National Park
"Vanoise National Park (French: Parc national de la Vanoise), is a French national park between the (...TRUNCATED)
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<dbpedia:Sushruta_Samhita>
Sushruta Samhita
"The Suśrutasamhitā is an important Sanskrit text on medicine, considered to be one of the earlies(...TRUNCATED)
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<dbpedia:Gumla_block>
Gumla block
"Gumla block, one of the eleven administrative blocks of Gumla district, Jharkhand state, India, has(...TRUNCATED)
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<dbpedia:Leverett_Saltonstall>
Leverett Saltonstall
"Leverett A. Saltonstall (September 1, 1892 – June 17, 1979) was an American Republican politician(...TRUNCATED)
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<dbpedia:Trevignano>
Trevignano
Trevignano is a town and comune in the province of Treviso, Veneto, Italy.
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<dbpedia:Aleksandrovsky_Sad_(Moscow_Metro)>
Aleksandrovsky Sad (Moscow Metro)
"Aleksandrovsky Sad (Russian: Алекса́ндровский сад, IPA: [ɐlʲɪˈksandrəfskʲ(...TRUNCATED)
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DBPedia SPLADE + OpenAI: 100,000 SPLADE Sparse Vectors + OpenAI Embedding

This dataset has both OpenAI and SPLADE vectors for 100,000 DBPedia entries. This adds SPLADE Vectors to KShivendu/dbpedia-entities-openai-1M/

Model id used to make these vectors:

model_id = "naver/efficient-splade-VI-BT-large-doc"

For processing the query, use this:

model_id = "naver/efficient-splade-VI-BT-large-query"

If you'd like to extract the indices and weights/values from the vectors, you can do so using the following snippet:

import numpy as np
vec = np.array(ds[0]['vec']) # where ds is the dataset

def get_indices_values(vec):
  sparse_indices = vec.nonzero()
  sparse_values = vec[sparse_indices]
  return sparse_indices, sparse_values
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