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Datasets:
ray0rf1re
/
Site.scraped

Tasks:
Text Generation
Text Classification
Image Classification
Languages:
English
Size:
n<1K
Tags:
web-scraping
dataset
webscraper-pro
curated
citations
License:
Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
type: string
src: string
alt: string
width: int64
height: int64
source_url: string
source_title: string
author: string
scraped_at: string
citation_mla: string
citation_apa: string
publishDate: null
title: string
isbn: null
url: string
description: null
siteName: string
apa: string
mla: string
contentType: null
license: null
accessDate: string
to
{'mla': Value('string'), 'apa': Value('string'), 'url': Value('string'), 'title': Value('string'), 'author': Value('string'), 'accessDate': Value('string'), 'siteName': Value('string'), 'publishDate': Value('null'), 'license': Value('null'), 'description': Value('null'), 'contentType': Value('null'), 'isbn': Value('null')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 265, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              type: string
              src: string
              alt: string
              width: int64
              height: int64
              source_url: string
              source_title: string
              author: string
              scraped_at: string
              citation_mla: string
              citation_apa: string
              publishDate: null
              title: string
              isbn: null
              url: string
              description: null
              siteName: string
              apa: string
              mla: string
              contentType: null
              license: null
              accessDate: string
              to
              {'mla': Value('string'), 'apa': Value('string'), 'url': Value('string'), 'title': Value('string'), 'author': Value('string'), 'accessDate': Value('string'), 'siteName': Value('string'), 'publishDate': Value('null'), 'license': Value('null'), 'description': Value('null'), 'contentType': Value('null'), 'isbn': Value('null')}
              because column names don't match

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fff

Collected with WebScraper Pro v0.7.2.2

Dataset Description

This dataset was collected using WebScraper Pro, an open-source Firefox extension and CLI tool for structured web data collection with automatic scroll-first pagination, MLA/APA citations, and HuggingFace integration.

Dataset Summary

Metric Value
Total Records 922
Total Words 22666
Images 35
Links 823
Audio Files 0
Pages Scraped 19
Unique Sources 16
Unique Domains 1
Unique Authors 0
Collection Date 31 Mar. 2026
Last Updated 2026-04-01T01:46:33.295Z

Intended Uses

  • Text Generation — Training or fine-tuning language models on web content
  • Text Classification — Categorizing web content by topic, sentiment, or type
  • Summarization — Generating summaries from scraped articles
  • Question Answering — Building QA datasets from structured web content
  • Image Classification — Training image models on web-sourced images
  • Link Analysis — Web graph construction and analysis
  • Audio Transcription — Processing audio files (converted to .wav)
  • Citation Analysis — Studying citation patterns and web attribution
  • Information Retrieval — Building search indices from web content
  • Dataset Curation — As a base for creating refined, domain-specific datasets

Out-of-Scope Uses

  • This dataset should NOT be used to train models for generating deceptive content
  • Content should not be re-published without proper attribution
  • Individual source licenses may restrict certain commercial uses

Data Format

File Format Description
data/text_data.jsonl JSONL Scraped text content with full metadata and citations
data/images.jsonl JSONL Image references with alt text and dimensions
data/links.jsonl JSONL Extracted hyperlinks with anchor text
data/audio.jsonl JSONL Audio/video file references
data/citations.jsonl JSONL MLA + APA citation records per source

Data Fields

Each JSONL text record contains:

{
  "id": "unique-record-id",
  "type": "text",
  "text": "scraped text content",
  "tag": "html-element-tag",
  "source_url": "https://example.com/page",
  "source_title": "Page Title",
  "author": "Original Author",
  "site_name": "example.com",
  "scraped_at": "2024-01-01T12:00:00Z",
  "citation_mla": "MLA 9th edition formatted citation",
  "citation_apa": "APA 7th edition formatted citation"
}

Data Collection

Data was collected using WebScraper Pro's scroll-first auto-scan approach:

  1. The scraper first scrolls down each page to determine its full length and trigger lazy-loaded content
  2. It then scrolls back up and scrapes viewport by viewport, deduplicating across viewports
  3. After fully scraping the current page, it looks for "Next" buttons or pagination links
  4. All sources are automatically cited in both MLA 9th and APA 7th edition formats

Collection Configuration

  • Scroll-First Mode: Enabled (checks page length before scraping)
  • Auto-scroll: Enabled
  • Auto-next page: Enabled
  • Robots.txt: Respected
  • Export Format: jsonl
  • Citation Format: MLA 9th + APA 7th

Source Domains

  • learn.vcs.net

Sources & Citations

Source Summary

# Source Author License Content Type
1 Quarter 4 (2025-26): March 30/31 | Learn@VCS Unknown See source Web page
2 Quarter 4 (2025-26): March 26/27 | Learn@VCS Unknown See source Web page
3 Quarter 4 (2025-26): March 24/25 | Learn@VCS Unknown See source Web page
4 Quarter 4 (2025-26): March 19/23 | Learn@VCS Unknown See source Web page
5 Topic: AMSE Artist | Conservatory Honors Program | Learn@VCS Unknown See source Web page
6 Quarter 4 (2025-26): March 13 | Learn@VCS Unknown See source Web page
7 Quarter 4 (2025-26): March 17 | Learn@VCS Unknown See source Web page
8 Quarter 4 (2025-26): March 26 | Learn@VCS Unknown See source Web page
9 Quarter 4 (2025-26): March 24 | Learn@VCS Unknown See source Web page
10 Quarter 4 (2025-26): March 30 | Learn@VCS Unknown See source Web page
11 Quarter 3 (2025-26): January 6 | Learn@VCS Unknown See source Web page
12 Quarter 3 (2025-26): January 8 | Learn@VCS Unknown See source Web page
13 Quarter 3 (2025-26): March 11 | Learn@VCS Unknown See source Web page
14 Quarter 3 (2025-26): March 5 | Learn@VCS Unknown See source Web page
15 Quarter 3 (2025-26): March 9 | Learn@VCS Unknown See source Web page
16 Quarter 3 (2025-26): February 26 | Learn@VCS Unknown See source Web page

MLA 9th Edition Citations

  1. "Quarter 4 (2025-26): March 30/31 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241536#. Accessed 31 Mar. 2026.

  2. "Quarter 4 (2025-26): March 26/27 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241535. Accessed 31 Mar. 2026.

  3. "Quarter 4 (2025-26): March 24/25 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241534. Accessed 31 Mar. 2026.

  4. "Quarter 4 (2025-26): March 19/23 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241533. Accessed 31 Mar. 2026.

  5. "Topic: AMSE Artist | Conservatory Honors Program | Learn@VCS." learn.vcs.net, https://learn.vcs.net/course/view.php?id=1623&section=8#tabs-tree-start. Accessed 31 Mar. 2026.

  6. "Quarter 4 (2025-26): March 13 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342915. Accessed 31 Mar. 2026.

  7. "Quarter 4 (2025-26): March 17 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245511. Accessed 31 Mar. 2026.

  8. "Quarter 4 (2025-26): March 26 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245495. Accessed 31 Mar. 2026.

  9. "Quarter 4 (2025-26): March 24 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245494. Accessed 31 Mar. 2026.

  10. "Quarter 4 (2025-26): March 30 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245496. Accessed 31 Mar. 2026.

  11. "Quarter 3 (2025-26): January 6 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342914. Accessed 31 Mar. 2026.

  12. "Quarter 3 (2025-26): January 8 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245490. Accessed 31 Mar. 2026.

  13. "Quarter 3 (2025-26): March 11 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245489. Accessed 31 Mar. 2026.

  14. "Quarter 3 (2025-26): March 5 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245487. Accessed 31 Mar. 2026.

  15. "Quarter 3 (2025-26): March 9 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245488. Accessed 31 Mar. 2026.

  16. "Quarter 3 (2025-26): February 26 | Learn@VCS." learn.vcs.net, https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245484. Accessed 31 Mar. 2026.

APA 7th Edition Citations

  1. (n.d.). Quarter 4 (2025-26): March 30/31 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241536#

  2. (n.d.). Quarter 4 (2025-26): March 26/27 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241535

  3. (n.d.). Quarter 4 (2025-26): March 24/25 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241534

  4. (n.d.). Quarter 4 (2025-26): March 19/23 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241533

  5. (n.d.). Topic: AMSE Artist | Conservatory Honors Program | Learn@VCS. https://learn.vcs.net/course/view.php?id=1623&section=8#tabs-tree-start

  6. (n.d.). Quarter 4 (2025-26): March 13 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342915

  7. (n.d.). Quarter 4 (2025-26): March 17 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245511

  8. (n.d.). Quarter 4 (2025-26): March 26 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245495

  9. (n.d.). Quarter 4 (2025-26): March 24 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245494

  10. (n.d.). Quarter 4 (2025-26): March 30 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245496

  11. (n.d.). Quarter 3 (2025-26): January 6 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342914

  12. (n.d.). Quarter 3 (2025-26): January 8 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245490

  13. (n.d.). Quarter 3 (2025-26): March 11 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245489

  14. (n.d.). Quarter 3 (2025-26): March 5 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245487

  15. (n.d.). Quarter 3 (2025-26): March 9 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245488

  16. (n.d.). Quarter 3 (2025-26): February 26 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245484

Licensing

Uni-S License v3.0 (Universal Scraping License)

This dataset and the tool that collected it are governed by the Uni-S License v3.0.

Key points:

  1. We do NOT own any of this data. All rights to scraped content belong to the original authors, creators, publishers, and rights holders.
  2. The Software (WebScraper Pro) is open source. Standalone scraper forks must stay open source. Library use in other projects is unrestricted.
  3. Compatible with MIT, Apache 2.0, BSD, ISC, and MPL 2.0 — other projects can freely use this code.
  4. Users are solely responsible for ensuring they have the legal right to scrape, store, and redistribute any content they collect.
  5. Citations are provided to assist attribution, not to grant permission to use content.

Source Content Licenses

Individual content items retain their original licensing from their respective sources. Users of this dataset MUST verify and comply with the licensing terms of each individual source before use.

The dataset maintainer (minerofthesoal / ray0rf1re) explicitly does NOT claim ownership of any scraped content. All rights remain with original creators.

Source licenses should be verified individually at the original URLs.

Attribution Requirements

  • All original authors and sources are cited in both MLA 9th and APA 7th edition formats
  • When using content from this dataset, you MUST cite the original source
  • Citation data is available in data/citations.jsonl
  • Any rights holder may request removal of their content by opening an issue at github.com/minerofthesoal/Scraper

Ethical Considerations

  • All data was collected from publicly accessible web pages
  • Original authors and sources are cited using MLA 9th and APA 7th edition formats
  • This dataset respects robots.txt directives
  • No paywalled or login-required content was collected
  • Users of this dataset should verify licensing of individual sources
  • Personal information should be handled in accordance with applicable privacy laws

Additional Information

Collection Tool

  • Tool: WebScraper Pro v0.6.6.1
  • Type: Firefox Extension + Python CLI + GUI
  • Features: Area selection, scroll-first auto-scan, MLA/APA citations, HuggingFace upload
  • Owner Dataset: ray0rf1re/Site.scraped

Contact

For questions about this dataset, please open an issue at github.com/minerofthesoal/Scraper.

Generated by WebScraper Pro v0.6.6.1
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