| --- |
| dataset_info: |
| - config_name: auto |
| features: |
| - name: id |
| dtype: string |
| - name: context |
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| - name: fields |
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| - name: metadata |
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| splits: |
| - name: train |
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| num_examples: 2000 |
| - name: validation |
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| 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 |
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| num_examples: 2000 |
| - name: validation |
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| num_examples: 250 |
| - name: test |
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| num_examples: 250 |
| download_size: 4421087 |
| dataset_size: 12650838 |
| - config_name: camera |
| features: |
| - name: id |
| dtype: string |
| - name: context |
| dtype: string |
| - name: fields |
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| - name: metadata |
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| splits: |
| - name: train |
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| num_examples: 1967 |
| - name: validation |
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| num_examples: 250 |
| - name: test |
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| 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 |
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| num_examples: 2000 |
| - name: validation |
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| num_examples: 250 |
| - name: test |
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| num_examples: 250 |
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| 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 |
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| num_examples: 2000 |
| - name: validation |
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| num_examples: 250 |
| - name: test |
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| 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 |
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| num_examples: 250 |
| - name: test |
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| num_examples: 250 |
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| 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 |
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| num_examples: 2000 |
| - name: validation |
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| num_examples: 250 |
| - name: test |
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| 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 |
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| num_examples: 2000 |
| - name: validation |
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| num_examples: 250 |
| - name: test |
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| num_examples: 250 |
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| 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](http://web.archive.org/web/20210630013015id_/https://codeplexarchive.blob.core.windows.net/archive/projects/swde/swde.zip). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/web_extraction.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/web_extraction.py#L440). |
|
|
| [Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions. |
|
|
