Datasets:
goker
/
hyperlinks

Dataset card Data Studio Files Community
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'position_number'}) and 1 missing columns ({'page_number'}).

This happened while the csv dataset builder was generating data using

hf://datasets/goker/hyperlinks/datasets/dataset_bing_positioned_20250120_011415.csv (at revision d1477e4af81d10d9b4faf8d5ac6da3129a847434)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              order: int64
              href: string
              innerText: string
              innerHTML: string
              title: string
              ariaLabel: string
              ariaLabeledText: string
              isVisual: bool
              ariaHidden: bool
              isVisible: bool
              target: string
              role: string
              tabIndex: double
              isKeyboardAccessible: bool
              fontSize: int64
              fontWeight: int64
              underlined: bool
              color: string
              backgroundColor: string
              actualBackgroundColor: string
              x: double
              y: double
              width: double
              height: double
              documentWidth: int64
              documentHeight: int64
              deviceScaleFactor: int64
              viewportWidth: int64
              viewportHeight: int64
              hasAltText: bool
              google_position: int64
              bing_position: int64
              website: string
              position_number: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4277
              to
              {'order': Value(dtype='int64', id=None), 'href': Value(dtype='string', id=None), 'innerText': Value(dtype='string', id=None), 'innerHTML': Value(dtype='string', id=None), 'title': Value(dtype='string', id=None), 'ariaLabel': Value(dtype='string', id=None), 'ariaLabeledText': Value(dtype='string', id=None), 'isVisual': Value(dtype='bool', id=None), 'ariaHidden': Value(dtype='bool', id=None), 'isVisible': Value(dtype='bool', id=None), 'target': Value(dtype='string', id=None), 'role': Value(dtype='string', id=None), 'tabIndex': Value(dtype='float64', id=None), 'isKeyboardAccessible': Value(dtype='bool', id=None), 'fontSize': Value(dtype='int64', id=None), 'fontWeight': Value(dtype='int64', id=None), 'underlined': Value(dtype='bool', id=None), 'color': Value(dtype='string', id=None), 'backgroundColor': Value(dtype='string', id=None), 'actualBackgroundColor': Value(dtype='string', id=None), 'x': Value(dtype='float64', id=None), 'y': Value(dtype='float64', id=None), 'width': Value(dtype='float64', id=None), 'height': Value(dtype='float64', id=None), 'documentWidth': Value(dtype='int64', id=None), 'documentHeight': Value(dtype='int64', id=None), 'deviceScaleFactor': Value(dtype='int64', id=None), 'viewportWidth': Value(dtype='int64', id=None), 'viewportHeight': Value(dtype='int64', id=None), 'hasAltText': Value(dtype='bool', id=None), 'google_position': Value(dtype='int64', id=None), 'bing_position': Value(dtype='int64', id=None), 'website': Value(dtype='string', id=None), 'page_number': Value(dtype='int64', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1420, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1052, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'position_number'}) and 1 missing columns ({'page_number'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/goker/hyperlinks/datasets/dataset_bing_positioned_20250120_011415.csv (at revision d1477e4af81d10d9b4faf8d5ac6da3129a847434)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

order
int64
href
string
innerText
string
innerHTML
string
title
string
ariaLabel
null
ariaLabeledText
null
isVisual
bool
ariaHidden
null
isVisible
bool
target
null
role
null
tabIndex
null
isKeyboardAccessible
bool
fontSize
int64
fontWeight
int64
underlined
bool
color
string
backgroundColor
string
actualBackgroundColor
string
x
float64
y
float64
width
float64
height
float64
documentWidth
int64
documentHeight
int64
deviceScaleFactor
int64
viewportWidth
int64
viewportHeight
int64
hasAltText
null
google_position
int64
bing_position
int64
website
string
page_number
int64
3
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Browse and search our App Directories
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https://www.theparisreview.org/blog/2025/01/06/making-of-a-poem-hua-xi-on-toilet/
Making of a Poem: Hua Xi on “Toilet” By Hua Xi January 6, 2025  “I want to live a beautiful life but I can’t help but notice there is something fundamentally disgusting about it all.” THE DAILY MAKING OF A POEM
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https://www.hudl.com/products/hudl
Hudl Online and mobile platform for video sharing and review
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https://www.johnhancock.com/help-center/life-insurance.html
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https://www.thenorthwestern.com/obituaries/
Obituaries       
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https://www.muckbootcompany.com/mens-boots/
Shop All
Shop All
Shop All
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https://nationalpost.com/category/news/
NEWS
<span data-evt-skip-click="true" data-tb-category="">News</span>
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End of preview.