mslr_web

  • Descripción :

MSLR-WEB son dos conjuntos de datos de aprendizaje para clasificar a gran escala publicados por Microsoft Research. El primer conjunto de datos (llamado "30k") contiene 30 000 consultas y el segundo conjunto de datos (llamado "10k") contiene 10 000 consultas. Cada conjunto de datos consta de pares de consulta-documento representados como vectores de características y etiquetas de juicio de relevancia correspondientes.

Puede especificar si desea usar la versión "10k" o "30k" del conjunto de datos y el pliegue correspondiente, de la siguiente manera:

ds = tfds.load("mslr_web/30k_fold1")

Si solo se especifica mslr_web , la opción mslr_web/10k_fold1 se selecciona de manera predeterminada:

# This is the same as `tfds.load("mslr_web/10k_fold1")`
ds = tfds.load("mslr_web")
FeaturesDict({
    'bm25_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'bm25_body': Tensor(shape=(None,), dtype=tf.float64),
    'bm25_title': Tensor(shape=(None,), dtype=tf.float64),
    'bm25_url': Tensor(shape=(None,), dtype=tf.float64),
    'bm25_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'boolean_model_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'boolean_model_body': Tensor(shape=(None,), dtype=tf.float64),
    'boolean_model_title': Tensor(shape=(None,), dtype=tf.float64),
    'boolean_model_url': Tensor(shape=(None,), dtype=tf.float64),
    'boolean_model_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'covered_query_term_number_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'covered_query_term_number_body': Tensor(shape=(None,), dtype=tf.float64),
    'covered_query_term_number_title': Tensor(shape=(None,), dtype=tf.float64),
    'covered_query_term_number_url': Tensor(shape=(None,), dtype=tf.float64),
    'covered_query_term_number_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'covered_query_term_ratio_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'covered_query_term_ratio_body': Tensor(shape=(None,), dtype=tf.float64),
    'covered_query_term_ratio_title': Tensor(shape=(None,), dtype=tf.float64),
    'covered_query_term_ratio_url': Tensor(shape=(None,), dtype=tf.float64),
    'covered_query_term_ratio_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'idf_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'idf_body': Tensor(shape=(None,), dtype=tf.float64),
    'idf_title': Tensor(shape=(None,), dtype=tf.float64),
    'idf_url': Tensor(shape=(None,), dtype=tf.float64),
    'idf_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'inlink_number': Tensor(shape=(None,), dtype=tf.float64),
    'label': Tensor(shape=(None,), dtype=tf.float64),
    'length_of_url': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_abs_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_abs_body': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_abs_title': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_abs_url': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_abs_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_dir_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_dir_body': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_dir_title': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_dir_url': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_dir_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_jm_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_jm_body': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_jm_title': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_jm_url': Tensor(shape=(None,), dtype=tf.float64),
    'lmir_jm_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_stream_length_normalized_term_frequency_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_stream_length_normalized_term_frequency_body': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_stream_length_normalized_term_frequency_title': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_stream_length_normalized_term_frequency_url': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_stream_length_normalized_term_frequency_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_term_frequency_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_term_frequency_body': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_term_frequency_title': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_term_frequency_url': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_term_frequency_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_tf_idf_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_tf_idf_body': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_tf_idf_title': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_tf_idf_url': Tensor(shape=(None,), dtype=tf.float64),
    'max_of_tf_idf_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_stream_length_normalized_term_frequency_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_stream_length_normalized_term_frequency_body': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_stream_length_normalized_term_frequency_title': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_stream_length_normalized_term_frequency_url': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_stream_length_normalized_term_frequency_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_term_frequency_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_term_frequency_body': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_term_frequency_title': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_term_frequency_url': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_term_frequency_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_tf_idf_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_tf_idf_body': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_tf_idf_title': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_tf_idf_url': Tensor(shape=(None,), dtype=tf.float64),
    'mean_of_tf_idf_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_stream_length_normalized_term_frequency_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_stream_length_normalized_term_frequency_body': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_stream_length_normalized_term_frequency_title': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_stream_length_normalized_term_frequency_url': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_stream_length_normalized_term_frequency_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_term_frequency_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_term_frequency_body': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_term_frequency_title': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_term_frequency_url': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_term_frequency_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_tf_idf_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_tf_idf_body': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_tf_idf_title': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_tf_idf_url': Tensor(shape=(None,), dtype=tf.float64),
    'min_of_tf_idf_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'number_of_slash_in_url': Tensor(shape=(None,), dtype=tf.float64),
    'outlink_number': Tensor(shape=(None,), dtype=tf.float64),
    'page_rank': Tensor(shape=(None,), dtype=tf.float64),
    'quality_score': Tensor(shape=(None,), dtype=tf.float64),
    'quality_score_2': Tensor(shape=(None,), dtype=tf.float64),
    'query_url_click_count': Tensor(shape=(None,), dtype=tf.float64),
    'site_rank': Tensor(shape=(None,), dtype=tf.float64),
    'stream_length_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'stream_length_body': Tensor(shape=(None,), dtype=tf.float64),
    'stream_length_title': Tensor(shape=(None,), dtype=tf.float64),
    'stream_length_url': Tensor(shape=(None,), dtype=tf.float64),
    'stream_length_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_stream_length_normalized_term_frequency_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_stream_length_normalized_term_frequency_body': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_stream_length_normalized_term_frequency_title': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_stream_length_normalized_term_frequency_url': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_stream_length_normalized_term_frequency_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_term_frequency_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_term_frequency_body': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_term_frequency_title': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_term_frequency_url': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_term_frequency_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_tf_idf_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_tf_idf_body': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_tf_idf_title': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_tf_idf_url': Tensor(shape=(None,), dtype=tf.float64),
    'sum_of_tf_idf_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'url_click_count': Tensor(shape=(None,), dtype=tf.float64),
    'url_dwell_time': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_stream_length_normalized_term_frequency_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_stream_length_normalized_term_frequency_body': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_stream_length_normalized_term_frequency_title': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_stream_length_normalized_term_frequency_url': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_stream_length_normalized_term_frequency_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_term_frequency_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_term_frequency_body': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_term_frequency_title': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_term_frequency_url': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_term_frequency_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_tf_idf_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_tf_idf_body': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_tf_idf_title': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_tf_idf_url': Tensor(shape=(None,), dtype=tf.float64),
    'variance_of_tf_idf_whole_document': Tensor(shape=(None,), dtype=tf.float64),
    'vector_space_model_anchor': Tensor(shape=(None,), dtype=tf.float64),
    'vector_space_model_body': Tensor(shape=(None,), dtype=tf.float64),
    'vector_space_model_title': Tensor(shape=(None,), dtype=tf.float64),
    'vector_space_model_url': Tensor(shape=(None,), dtype=tf.float64),
    'vector_space_model_whole_document': Tensor(shape=(None,), dtype=tf.float64),
})
  • Documentación de características :
Rasgo Clase Forma Tipo D Descripción
CaracterísticasDict
bm25_ancla Tensor (Ninguna,) tf.float64
bm25_cuerpo Tensor (Ninguna,) tf.float64
bm25_title Tensor (Ninguna,) tf.float64
bm25_url Tensor (Ninguna,) tf.float64
bm25_documento_completo Tensor (Ninguna,) tf.float64
modelo_booleano_ancla Tensor (Ninguna,) tf.float64
booleano_modelo_cuerpo Tensor (Ninguna,) tf.float64
título_del_modelo_booleano Tensor (Ninguna,) tf.float64
boolean_model_url Tensor (Ninguna,) tf.float64
boolean_model_whole_document Tensor (Ninguna,) tf.float64
cubierto_consulta_término_número_ancla Tensor (Ninguna,) tf.float64
cubierto_consulta_término_número_cuerpo Tensor (Ninguna,) tf.float64
cubierto_consulta_término_número_título Tensor (Ninguna,) tf.float64
cubierto_consulta_término_número_url Tensor (Ninguna,) tf.float64
cubierto_consulta_término_número_documento_completo Tensor (Ninguna,) tf.float64
cubierto_consulta_término_ratio_anchor Tensor (Ninguna,) tf.float64
cubierto_consulta_término_ratio_cuerpo Tensor (Ninguna,) tf.float64
cubierto_consulta_término_ratio_título Tensor (Ninguna,) tf.float64
url_término_consulta_cubierto_url Tensor (Ninguna,) tf.float64
cubierto_consulta_término_ratio_todo_documento Tensor (Ninguna,) tf.float64
idf_anchor Tensor (Ninguna,) tf.float64
idf_cuerpo Tensor (Ninguna,) tf.float64
idf_title Tensor (Ninguna,) tf.float64
idf_url Tensor (Ninguna,) tf.float64
idf_documento_completo Tensor (Ninguna,) tf.float64
número_enlace Tensor (Ninguna,) tf.float64
etiqueta Tensor (Ninguna,) tf.float64
longitud_de_url Tensor (Ninguna,) tf.float64
lmir_abs_anchor Tensor (Ninguna,) tf.float64
lmir_abs_cuerpo Tensor (Ninguna,) tf.float64
lmir_abs_title Tensor (Ninguna,) tf.float64
lmir_abs_url Tensor (Ninguna,) tf.float64
lmir_abs_todo_documento Tensor (Ninguna,) tf.float64
lmir_dir_anchor Tensor (Ninguna,) tf.float64
lmir_dir_cuerpo Tensor (Ninguna,) tf.float64
lmir_dir_title Tensor (Ninguna,) tf.float64
lmir_dir_url Tensor (Ninguna,) tf.float64
lmir_dir_documento_completo Tensor (Ninguna,) tf.float64
lmir_jm_anchor Tensor (Ninguna,) tf.float64
lmir_jm_cuerpo Tensor (Ninguna,) tf.float64
lmir_jm_title Tensor (Ninguna,) tf.float64
lmir_jm_url Tensor (Ninguna,) tf.float64
lmir_jm_documento_completo Tensor (Ninguna,) tf.float64
max_of_stream_length_normalized_term_frequency_anchor Tensor (Ninguna,) tf.float64
max_of_stream_length_normalized_term_frequency_body Tensor (Ninguna,) tf.float64
max_of_stream_length_normalized_term_frequency_title Tensor (Ninguna,) tf.float64
max_of_stream_length_normalized_term_frequency_url Tensor (Ninguna,) tf.float64
max_of_stream_length_normalized_term_frequency_whole_document Tensor (Ninguna,) tf.float64
max_of_term_frequency_anchor Tensor (Ninguna,) tf.float64
max_of_term_frequency_body Tensor (Ninguna,) tf.float64
max_of_term_frequency_title Tensor (Ninguna,) tf.float64
max_of_term_frequency_url Tensor (Ninguna,) tf.float64
max_of_term_frequency_whole_document Tensor (Ninguna,) tf.float64
max_of_tf_idf_anchor Tensor (Ninguna,) tf.float64
max_of_tf_idf_cuerpo Tensor (Ninguna,) tf.float64
max_of_tf_idf_title Tensor (Ninguna,) tf.float64
max_of_tf_idf_url Tensor (Ninguna,) tf.float64
max_of_tf_idf_whole_document Tensor (Ninguna,) tf.float64
mean_of_stream_length_normalized_term_frequency_anchor Tensor (Ninguna,) tf.float64
media_de_la_longitud_del_flujo_término_normalizado_frecuencia_cuerpo Tensor (Ninguna,) tf.float64
mean_of_stream_length_normalized_term_frequency_title Tensor (Ninguna,) tf.float64
mean_of_stream_length_normalized_term_frequency_url Tensor (Ninguna,) tf.float64
media_de_la_longitud_del_flujo_término_normalizado_frecuencia_documento_completo Tensor (Ninguna,) tf.float64
media_de_término_frecuencia_ancla Tensor (Ninguna,) tf.float64
media_de_término_frecuencia_cuerpo Tensor (Ninguna,) tf.float64
título_de_frecuencia_media_del_término Tensor (Ninguna,) tf.float64
URL_frecuencia_promedio_del_término Tensor (Ninguna,) tf.float64
media_de_término_frecuencia_todo_documento Tensor (Ninguna,) tf.float64
media_de_tf_idf_anchor Tensor (Ninguna,) tf.float64
media_de_tf_idf_cuerpo Tensor (Ninguna,) tf.float64
mean_of_tf_idf_title Tensor (Ninguna,) tf.float64
mean_of_tf_idf_url Tensor (Ninguna,) tf.float64
mean_of_tf_idf_whole_document Tensor (Ninguna,) tf.float64
min_of_stream_length_normalized_term_frequency_anchor Tensor (Ninguna,) tf.float64
min_of_stream_length_normalized_term_frequency_body Tensor (Ninguna,) tf.float64
min_of_stream_length_normalized_term_frequency_title Tensor (Ninguna,) tf.float64
min_of_stream_length_normalized_term_frequency_url Tensor (Ninguna,) tf.float64
min_of_stream_length_normalized_term_frequency_whole_document Tensor (Ninguna,) tf.float64
min_of_term_frequency_anchor Tensor (Ninguna,) tf.float64
min_of_term_frequency_body Tensor (Ninguna,) tf.float64
min_of_term_frequency_title Tensor (Ninguna,) tf.float64
min_of_term_frequency_url Tensor (Ninguna,) tf.float64
min_of_term_frequency_whole_document Tensor (Ninguna,) tf.float64
min_of_tf_idf_anchor Tensor (Ninguna,) tf.float64
min_of_tf_idf_body Tensor (Ninguna,) tf.float64
min_of_tf_idf_title Tensor (Ninguna,) tf.float64
min_of_tf_idf_url Tensor (Ninguna,) tf.float64
min_of_tf_idf_whole_document Tensor (Ninguna,) tf.float64
número_de_barra_en_url Tensor (Ninguna,) tf.float64
outlink_number Tensor (Ninguna,) tf.float64
rango de página Tensor (Ninguna,) tf.float64
puntuación_de_calidad Tensor (Ninguna,) tf.float64
puntuación_de_calidad_2 Tensor (Ninguna,) tf.float64
consulta_url_click_count Tensor (Ninguna,) tf.float64
site_rank Tensor (Ninguna,) tf.float64
stream_length_anchor Tensor (Ninguna,) tf.float64
stream_length_body Tensor (Ninguna,) tf.float64
stream_length_title Tensor (Ninguna,) tf.float64
stream_length_url Tensor (Ninguna,) tf.float64
stream_length_whole_document Tensor (Ninguna,) tf.float64
sum_of_stream_length_normalized_term_frequency_anchor Tensor (Ninguna,) tf.float64
sum_of_stream_length_normalized_term_frequency_body Tensor (Ninguna,) tf.float64
sum_of_stream_length_normalized_term_frequency_title Tensor (Ninguna,) tf.float64
sum_of_stream_length_normalized_term_frequency_url Tensor (Ninguna,) tf.float64
sum_of_stream_length_normalized_term_frequency_whole_document Tensor (Ninguna,) tf.float64
sum_of_term_frequency_anchor Tensor (Ninguna,) tf.float64
suma_de_término_frecuencia_cuerpo Tensor (Ninguna,) tf.float64
suma_de_término_frecuencia_título Tensor (Ninguna,) tf.float64
sum_of_term_frequency_url Tensor (Ninguna,) tf.float64
sum_of_term_frequency_whole_document Tensor (Ninguna,) tf.float64
sum_of_tf_idf_anchor Tensor (Ninguna,) tf.float64
suma_de_tf_idf_cuerpo Tensor (Ninguna,) tf.float64
suma_de_tf_idf_title Tensor (Ninguna,) tf.float64
suma_de_tf_idf_url Tensor (Ninguna,) tf.float64
sum_of_tf_idf_whole_document Tensor (Ninguna,) tf.float64
url_click_count Tensor (Ninguna,) tf.float64
url_permanencia_tiempo Tensor (Ninguna,) tf.float64
variance_of_stream_length_normalized_term_frequency_anchor Tensor (Ninguna,) tf.float64
variance_of_stream_length_normalized_term_frequency_body Tensor (Ninguna,) tf.float64
variance_of_stream_length_normalized_term_frequency_title Tensor (Ninguna,) tf.float64
variance_of_stream_length_normalized_term_frequency_url Tensor (Ninguna,) tf.float64
variance_of_stream_length_normalized_term_frequency_whole_document Tensor (Ninguna,) tf.float64
variance_of_term_frequency_anchor Tensor (Ninguna,) tf.float64
variación_de_término_frecuencia_cuerpo Tensor (Ninguna,) tf.float64
variación_de_término_frecuencia_título Tensor (Ninguna,) tf.float64
varianza_de_término_frecuencia_url Tensor (Ninguna,) tf.float64
varianza_de_término_frecuencia_todo_documento Tensor (Ninguna,) tf.float64
variación_de_tf_idf_anchor Tensor (Ninguna,) tf.float64
variación_de_tf_idf_cuerpo Tensor (Ninguna,) tf.float64
variación_de_tf_idf_title Tensor (Ninguna,) tf.float64
variación_de_tf_idf_url Tensor (Ninguna,) tf.float64
variación_de_tf_idf_documento_completo Tensor (Ninguna,) tf.float64
vector_space_model_anchor Tensor (Ninguna,) tf.float64
vector_espacio_modelo_cuerpo Tensor (Ninguna,) tf.float64
vector_space_model_title Tensor (Ninguna,) tf.float64
vector_space_model_url Tensor (Ninguna,) tf.float64
vector_space_model_whole_document Tensor (Ninguna,) tf.float64
@article{DBLP:journals/corr/QinL13,
  author    = {Tao Qin and Tie{-}Yan Liu},
  title     = {Introducing {LETOR} 4.0 Datasets},
  journal   = {CoRR},
  volume    = {abs/1306.2597},
  year      = {2013},
  url       = {http://arxiv.org/abs/1306.2597},
  timestamp = {Mon, 01 Jul 2013 20:31:25 +0200},
  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/QinL13},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

mslr_web/10k_fold1 (configuración predeterminada)

  • Tamaño de descarga : 1.15 GiB

  • Tamaño del conjunto de datos : 381.58 MiB

  • Divisiones :

Separar Ejemplos
'test' 2,000
'train' 6,000
'vali' 2,000

mslr_web/10k_fold2

  • Tamaño de descarga : 1.15 GiB

  • Tamaño del conjunto de datos : 381.58 MiB

  • Divisiones :

Separar Ejemplos
'test' 2,000
'train' 6,000
'vali' 2,000

mslr_web/10k_fold3

  • Tamaño de descarga : 1.15 GiB

  • Tamaño del conjunto de datos : 381.58 MiB

  • Divisiones :

Separar Ejemplos
'test' 2,000
'train' 6,000
'vali' 2,000

mslr_web/10k_fold4

  • Tamaño de descarga : 1.15 GiB

  • Tamaño del conjunto de datos : 381.58 MiB

  • Divisiones :

Separar Ejemplos
'test' 2,000
'train' 6,000
'vali' 2,000

mslr_web/10k_fold5

  • Tamaño de descarga : 1.15 GiB

  • Tamaño del conjunto de datos : 381.58 MiB

  • Divisiones :

Separar Ejemplos
'test' 2,000
'train' 6,000
'vali' 2,000

mslr_web/30k_fold1

  • Tamaño de descarga : 3.59 GiB

  • Tamaño del conjunto de datos : 1.17 GiB

  • Divisiones :

Separar Ejemplos
'test' 6,306
'train' 18,919
'vali' 6,306

mslr_web/30k_fold2

  • Tamaño de descarga : 3.59 GiB

  • Tamaño del conjunto de datos : 1.17 GiB

  • Divisiones :

Separar Ejemplos
'test' 6,307
'train' 18,918
'vali' 6,306

mslr_web/30k_fold3

  • Tamaño de descarga : 3.59 GiB

  • Tamaño del conjunto de datos : 1.17 GiB

  • Divisiones :

Separar Ejemplos
'test' 6,306
'train' 18,918
'vali' 6,307

mslr_web/30k_fold4

  • Tamaño de descarga : 3.59 GiB

  • Tamaño del conjunto de datos : 1.17 GiB

  • Divisiones :

Separar Ejemplos
'test' 6,306
'train' 18,919
'vali' 6,306

mslr_web/30k_fold5

  • Tamaño de descarga : 3.59 GiB

  • Tamaño del conjunto de datos : 1.17 GiB

  • Divisiones :

Separar Ejemplos
'test' 6,306
'train' 18,919
'vali' 6,306