- Description:
MSLR-WEB are two large-scale Learning-to-Rank datasets released by Microsoft Research. The first dataset (called "30k") contains 30,000 queries and the second dataset (called "10k") contains 10,000 queries. Each dataset consists of query-document pairs represented as feature vectors and corresponding relevance judgment labels.
You can specify whether to use the "10k" or "30k" version of the dataset, and a corresponding fold, as follows:
ds = tfds.load("mslr_web/30k_fold1")
If only mslr_web
is specified, the mslr_web/10k_fold1
option is selected by
default:
# This is the same as `tfds.load("mslr_web/10k_fold1")`
ds = tfds.load("mslr_web")
Homepage: https://www.microsoft.com/en-us/research/project/mslr/
Source code:
tfds.ranking.mslr_web.MslrWeb
Versions:
1.0.0
(default): Initial release.
Auto-cached (documentation): No
Feature structure:
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),
})
- Feature documentation:
Feature | Class | Shape | Dtype | Description |
---|---|---|---|---|
FeaturesDict | ||||
bm25_anchor | Tensor | (None,) | tf.float64 | |
bm25_body | Tensor | (None,) | tf.float64 | |
bm25_title | Tensor | (None,) | tf.float64 | |
bm25_url | Tensor | (None,) | tf.float64 | |
bm25_whole_document | Tensor | (None,) | tf.float64 | |
boolean_model_anchor | Tensor | (None,) | tf.float64 | |
boolean_model_body | Tensor | (None,) | tf.float64 | |
boolean_model_title | Tensor | (None,) | tf.float64 | |
boolean_model_url | Tensor | (None,) | tf.float64 | |
boolean_model_whole_document | Tensor | (None,) | tf.float64 | |
covered_query_term_number_anchor | Tensor | (None,) | tf.float64 | |
covered_query_term_number_body | Tensor | (None,) | tf.float64 | |
covered_query_term_number_title | Tensor | (None,) | tf.float64 | |
covered_query_term_number_url | Tensor | (None,) | tf.float64 | |
covered_query_term_number_whole_document | Tensor | (None,) | tf.float64 | |
covered_query_term_ratio_anchor | Tensor | (None,) | tf.float64 | |
covered_query_term_ratio_body | Tensor | (None,) | tf.float64 | |
covered_query_term_ratio_title | Tensor | (None,) | tf.float64 | |
covered_query_term_ratio_url | Tensor | (None,) | tf.float64 | |
covered_query_term_ratio_whole_document | Tensor | (None,) | tf.float64 | |
idf_anchor | Tensor | (None,) | tf.float64 | |
idf_body | Tensor | (None,) | tf.float64 | |
idf_title | Tensor | (None,) | tf.float64 | |
idf_url | Tensor | (None,) | tf.float64 | |
idf_whole_document | Tensor | (None,) | tf.float64 | |
inlink_number | Tensor | (None,) | tf.float64 | |
label | Tensor | (None,) | tf.float64 | |
length_of_url | Tensor | (None,) | tf.float64 | |
lmir_abs_anchor | Tensor | (None,) | tf.float64 | |
lmir_abs_body | Tensor | (None,) | tf.float64 | |
lmir_abs_title | Tensor | (None,) | tf.float64 | |
lmir_abs_url | Tensor | (None,) | tf.float64 | |
lmir_abs_whole_document | Tensor | (None,) | tf.float64 | |
lmir_dir_anchor | Tensor | (None,) | tf.float64 | |
lmir_dir_body | Tensor | (None,) | tf.float64 | |
lmir_dir_title | Tensor | (None,) | tf.float64 | |
lmir_dir_url | Tensor | (None,) | tf.float64 | |
lmir_dir_whole_document | Tensor | (None,) | tf.float64 | |
lmir_jm_anchor | Tensor | (None,) | tf.float64 | |
lmir_jm_body | Tensor | (None,) | tf.float64 | |
lmir_jm_title | Tensor | (None,) | tf.float64 | |
lmir_jm_url | Tensor | (None,) | tf.float64 | |
lmir_jm_whole_document | Tensor | (None,) | tf.float64 | |
max_of_stream_length_normalized_term_frequency_anchor | Tensor | (None,) | tf.float64 | |
max_of_stream_length_normalized_term_frequency_body | Tensor | (None,) | tf.float64 | |
max_of_stream_length_normalized_term_frequency_title | Tensor | (None,) | tf.float64 | |
max_of_stream_length_normalized_term_frequency_url | Tensor | (None,) | tf.float64 | |
max_of_stream_length_normalized_term_frequency_whole_document | Tensor | (None,) | tf.float64 | |
max_of_term_frequency_anchor | Tensor | (None,) | tf.float64 | |
max_of_term_frequency_body | Tensor | (None,) | tf.float64 | |
max_of_term_frequency_title | Tensor | (None,) | tf.float64 | |
max_of_term_frequency_url | Tensor | (None,) | tf.float64 | |
max_of_term_frequency_whole_document | Tensor | (None,) | tf.float64 | |
max_of_tf_idf_anchor | Tensor | (None,) | tf.float64 | |
max_of_tf_idf_body | Tensor | (None,) | tf.float64 | |
max_of_tf_idf_title | Tensor | (None,) | tf.float64 | |
max_of_tf_idf_url | Tensor | (None,) | tf.float64 | |
max_of_tf_idf_whole_document | Tensor | (None,) | tf.float64 | |
mean_of_stream_length_normalized_term_frequency_anchor | Tensor | (None,) | tf.float64 | |
mean_of_stream_length_normalized_term_frequency_body | Tensor | (None,) | tf.float64 | |
mean_of_stream_length_normalized_term_frequency_title | Tensor | (None,) | tf.float64 | |
mean_of_stream_length_normalized_term_frequency_url | Tensor | (None,) | tf.float64 | |
mean_of_stream_length_normalized_term_frequency_whole_document | Tensor | (None,) | tf.float64 | |
mean_of_term_frequency_anchor | Tensor | (None,) | tf.float64 | |
mean_of_term_frequency_body | Tensor | (None,) | tf.float64 | |
mean_of_term_frequency_title | Tensor | (None,) | tf.float64 | |
mean_of_term_frequency_url | Tensor | (None,) | tf.float64 | |
mean_of_term_frequency_whole_document | Tensor | (None,) | tf.float64 | |
mean_of_tf_idf_anchor | Tensor | (None,) | tf.float64 | |
mean_of_tf_idf_body | Tensor | (None,) | tf.float64 | |
mean_of_tf_idf_title | Tensor | (None,) | tf.float64 | |
mean_of_tf_idf_url | Tensor | (None,) | tf.float64 | |
mean_of_tf_idf_whole_document | Tensor | (None,) | tf.float64 | |
min_of_stream_length_normalized_term_frequency_anchor | Tensor | (None,) | tf.float64 | |
min_of_stream_length_normalized_term_frequency_body | Tensor | (None,) | tf.float64 | |
min_of_stream_length_normalized_term_frequency_title | Tensor | (None,) | tf.float64 | |
min_of_stream_length_normalized_term_frequency_url | Tensor | (None,) | tf.float64 | |
min_of_stream_length_normalized_term_frequency_whole_document | Tensor | (None,) | tf.float64 | |
min_of_term_frequency_anchor | Tensor | (None,) | tf.float64 | |
min_of_term_frequency_body | Tensor | (None,) | tf.float64 | |
min_of_term_frequency_title | Tensor | (None,) | tf.float64 | |
min_of_term_frequency_url | Tensor | (None,) | tf.float64 | |
min_of_term_frequency_whole_document | Tensor | (None,) | tf.float64 | |
min_of_tf_idf_anchor | Tensor | (None,) | tf.float64 | |
min_of_tf_idf_body | Tensor | (None,) | tf.float64 | |
min_of_tf_idf_title | Tensor | (None,) | tf.float64 | |
min_of_tf_idf_url | Tensor | (None,) | tf.float64 | |
min_of_tf_idf_whole_document | Tensor | (None,) | tf.float64 | |
number_of_slash_in_url | Tensor | (None,) | tf.float64 | |
outlink_number | Tensor | (None,) | tf.float64 | |
page_rank | Tensor | (None,) | tf.float64 | |
quality_score | Tensor | (None,) | tf.float64 | |
quality_score_2 | Tensor | (None,) | tf.float64 | |
query_url_click_count | Tensor | (None,) | tf.float64 | |
site_rank | Tensor | (None,) | tf.float64 | |
stream_length_anchor | Tensor | (None,) | tf.float64 | |
stream_length_body | Tensor | (None,) | tf.float64 | |
stream_length_title | Tensor | (None,) | tf.float64 | |
stream_length_url | Tensor | (None,) | tf.float64 | |
stream_length_whole_document | Tensor | (None,) | tf.float64 | |
sum_of_stream_length_normalized_term_frequency_anchor | Tensor | (None,) | tf.float64 | |
sum_of_stream_length_normalized_term_frequency_body | Tensor | (None,) | tf.float64 | |
sum_of_stream_length_normalized_term_frequency_title | Tensor | (None,) | tf.float64 | |
sum_of_stream_length_normalized_term_frequency_url | Tensor | (None,) | tf.float64 | |
sum_of_stream_length_normalized_term_frequency_whole_document | Tensor | (None,) | tf.float64 | |
sum_of_term_frequency_anchor | Tensor | (None,) | tf.float64 | |
sum_of_term_frequency_body | Tensor | (None,) | tf.float64 | |
sum_of_term_frequency_title | Tensor | (None,) | tf.float64 | |
sum_of_term_frequency_url | Tensor | (None,) | tf.float64 | |
sum_of_term_frequency_whole_document | Tensor | (None,) | tf.float64 | |
sum_of_tf_idf_anchor | Tensor | (None,) | tf.float64 | |
sum_of_tf_idf_body | Tensor | (None,) | tf.float64 | |
sum_of_tf_idf_title | Tensor | (None,) | tf.float64 | |
sum_of_tf_idf_url | Tensor | (None,) | tf.float64 | |
sum_of_tf_idf_whole_document | Tensor | (None,) | tf.float64 | |
url_click_count | Tensor | (None,) | tf.float64 | |
url_dwell_time | Tensor | (None,) | tf.float64 | |
variance_of_stream_length_normalized_term_frequency_anchor | Tensor | (None,) | tf.float64 | |
variance_of_stream_length_normalized_term_frequency_body | Tensor | (None,) | tf.float64 | |
variance_of_stream_length_normalized_term_frequency_title | Tensor | (None,) | tf.float64 | |
variance_of_stream_length_normalized_term_frequency_url | Tensor | (None,) | tf.float64 | |
variance_of_stream_length_normalized_term_frequency_whole_document | Tensor | (None,) | tf.float64 | |
variance_of_term_frequency_anchor | Tensor | (None,) | tf.float64 | |
variance_of_term_frequency_body | Tensor | (None,) | tf.float64 | |
variance_of_term_frequency_title | Tensor | (None,) | tf.float64 | |
variance_of_term_frequency_url | Tensor | (None,) | tf.float64 | |
variance_of_term_frequency_whole_document | Tensor | (None,) | tf.float64 | |
variance_of_tf_idf_anchor | Tensor | (None,) | tf.float64 | |
variance_of_tf_idf_body | Tensor | (None,) | tf.float64 | |
variance_of_tf_idf_title | Tensor | (None,) | tf.float64 | |
variance_of_tf_idf_url | Tensor | (None,) | tf.float64 | |
variance_of_tf_idf_whole_document | Tensor | (None,) | tf.float64 | |
vector_space_model_anchor | Tensor | (None,) | tf.float64 | |
vector_space_model_body | Tensor | (None,) | tf.float64 | |
vector_space_model_title | Tensor | (None,) | tf.float64 | |
vector_space_model_url | Tensor | (None,) | tf.float64 | |
vector_space_model_whole_document | Tensor | (None,) | tf.float64 |
Supervised keys (See
as_supervised
doc):None
Figure (tfds.show_examples): Not supported.
Citation:
@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 (default config)
Download size:
1.15 GiB
Dataset size:
381.58 MiB
Splits:
Split | Examples |
---|---|
'test' |
2,000 |
'train' |
6,000 |
'vali' |
2,000 |
- Examples (tfds.as_dataframe):
mslr_web/10k_fold2
Download size:
1.15 GiB
Dataset size:
381.58 MiB
Splits:
Split | Examples |
---|---|
'test' |
2,000 |
'train' |
6,000 |
'vali' |
2,000 |
- Examples (tfds.as_dataframe):
mslr_web/10k_fold3
Download size:
1.15 GiB
Dataset size:
381.58 MiB
Splits:
Split | Examples |
---|---|
'test' |
2,000 |
'train' |
6,000 |
'vali' |
2,000 |
- Examples (tfds.as_dataframe):
mslr_web/10k_fold4
Download size:
1.15 GiB
Dataset size:
381.58 MiB
Splits:
Split | Examples |
---|---|
'test' |
2,000 |
'train' |
6,000 |
'vali' |
2,000 |
- Examples (tfds.as_dataframe):
mslr_web/10k_fold5
Download size:
1.15 GiB
Dataset size:
381.58 MiB
Splits:
Split | Examples |
---|---|
'test' |
2,000 |
'train' |
6,000 |
'vali' |
2,000 |
- Examples (tfds.as_dataframe):
mslr_web/30k_fold1
Download size:
3.59 GiB
Dataset size:
1.17 GiB
Splits:
Split | Examples |
---|---|
'test' |
6,306 |
'train' |
18,919 |
'vali' |
6,306 |
- Examples (tfds.as_dataframe):
mslr_web/30k_fold2
Download size:
3.59 GiB
Dataset size:
1.17 GiB
Splits:
Split | Examples |
---|---|
'test' |
6,307 |
'train' |
18,918 |
'vali' |
6,306 |
- Examples (tfds.as_dataframe):
mslr_web/30k_fold3
Download size:
3.59 GiB
Dataset size:
1.17 GiB
Splits:
Split | Examples |
---|---|
'test' |
6,306 |
'train' |
18,918 |
'vali' |
6,307 |
- Examples (tfds.as_dataframe):
mslr_web/30k_fold4
Download size:
3.59 GiB
Dataset size:
1.17 GiB
Splits:
Split | Examples |
---|---|
'test' |
6,306 |
'train' |
18,919 |
'vali' |
6,306 |
- Examples (tfds.as_dataframe):
mslr_web/30k_fold5
Download size:
3.59 GiB
Dataset size:
1.17 GiB
Splits:
Split | Examples |
---|---|
'test' |
6,306 |
'train' |
18,919 |
'vali' |
6,306 |
- Examples (tfds.as_dataframe):