Datasets:
dataset_info:
- config_name: auto
features:
- name: id
dtype: string
- name: context
dtype: string
- name: fields
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 11238415
num_examples: 2000
- name: validation
num_bytes: 1413271
num_examples: 250
- name: test
num_bytes: 967686
num_examples: 250
download_size: 3083883
dataset_size: 13619372
- config_name: book
features:
- name: id
dtype: string
- name: context
dtype: string
- name: fields
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 10607037
num_examples: 2000
- name: validation
num_bytes: 1154204
num_examples: 250
- name: test
num_bytes: 889597
num_examples: 250
download_size: 4421087
dataset_size: 12650838
- config_name: camera
features:
- name: id
dtype: string
- name: context
dtype: string
- name: fields
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 12385911
num_examples: 1967
- name: validation
num_bytes: 1460617
num_examples: 250
- name: test
num_bytes: 1358161
num_examples: 234
download_size: 3991272
dataset_size: 15204689
- config_name: job
features:
- name: id
dtype: string
- name: context
dtype: string
- name: fields
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 9442196
num_examples: 2000
- name: validation
num_bytes: 1496159
num_examples: 250
- name: test
num_bytes: 837263
num_examples: 250
download_size: 4275553
dataset_size: 11775618
- config_name: movie
features:
- name: id
dtype: string
- name: context
dtype: string
- name: fields
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 8255353
num_examples: 2000
- name: validation
num_bytes: 772403
num_examples: 250
- name: test
num_bytes: 1212301
num_examples: 250
download_size: 4180518
dataset_size: 10240057
- config_name: nbaplayer
features:
- name: id
dtype: string
- name: context
dtype: string
- name: fields
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 10604602
num_examples: 2000
- name: validation
num_bytes: 1240665
num_examples: 250
- name: test
num_bytes: 1575637
num_examples: 250
download_size: 4043722
dataset_size: 13420904
- config_name: restaurant
features:
- name: id
dtype: string
- name: context
dtype: string
- name: fields
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 9732954
num_examples: 2000
- name: validation
num_bytes: 1368139
num_examples: 250
- name: test
num_bytes: 968450
num_examples: 250
download_size: 3831925
dataset_size: 12069543
- config_name: university
features:
- name: id
dtype: string
- name: context
dtype: string
- name: fields
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 8480872
num_examples: 2000
- name: validation
num_bytes: 1615878
num_examples: 250
- name: test
num_bytes: 922002
num_examples: 250
download_size: 2706175
dataset_size: 11018752
configs:
- config_name: auto
data_files:
- split: train
path: auto/train-*
- split: validation
path: auto/validation-*
- split: test
path: auto/test-*
- config_name: book
data_files:
- split: train
path: book/train-*
- split: validation
path: book/validation-*
- split: test
path: book/test-*
- config_name: camera
data_files:
- split: train
path: camera/train-*
- split: validation
path: camera/validation-*
- split: test
path: camera/test-*
- config_name: job
data_files:
- split: train
path: job/train-*
- split: validation
path: job/validation-*
- split: test
path: job/test-*
- config_name: movie
data_files:
- split: train
path: movie/train-*
- split: validation
path: movie/validation-*
- split: test
path: movie/test-*
- config_name: nbaplayer
data_files:
- split: train
path: nbaplayer/train-*
- split: validation
path: nbaplayer/validation-*
- split: test
path: nbaplayer/test-*
- config_name: restaurant
data_files:
- split: train
path: restaurant/train-*
- split: validation
path: restaurant/validation-*
- split: test
path: restaurant/test-*
- config_name: university
data_files:
- split: train
path: university/train-*
- split: validation
path: university/validation-*
- split: test
path: university/test-*
license: other
source_datasets: []
tags:
- decision-model
swde
SWDE (Hao et al., SIGIR 2011) attribute records over the visible text of real web pages.
SWDE has 124,291 product, book, job, movie, player, restaurant, car and university pages from 80
websites (8 verticals, 10 sites each), each page one entity, with page-level values of 3 to 5
attributes per vertical labelled by per-site handcrafted regular expressions over DOM text nodes
(procedural labels; <NULL> when the page has no value). Each page's HTML is converted to
visible text (VisibleText) and every value is located verbatim, word-bounded, after decoding
character references and collapsing whitespace; attributes with an unlocated value are left out,
never turned into nulls. Pages longer than window characters are cut to one window holding
every located value. One config per vertical; one row per page with fields =
{attribute: [[(start, value), ...] per distinct value]} (JSON, empty for a labelled null).
SWDE has no official split: each vertical's ten sites are split by hash (8 train, 1 validation,
1 test; swde_split), so evaluation websites are unseen. Pages are template-generated, so each
site contributes its pages_per_site lowest-hash eligible pages.
Original data: original distribution. Repackaged as parquet for tasksource by scripts/repackage_dataset/web_extraction.py.
Conversion provenance: source revisions, hashes, configuration and exclusions.