license: other
task_categories:
- text-generation
- text-classification
- image-classification
- question-answering
- summarization
- feature-extraction
language:
- en
tags:
- web-scraping
- dataset
- webscraper-pro
- curated
- citations
pretty_name: fff
size_categories:
- n<1K
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:
- The scraper first scrolls down each page to determine its full length and trigger lazy-loaded content
- It then scrolls back up and scrapes viewport by viewport, deduplicating across viewports
- After fully scraping the current page, it looks for "Next" buttons or pagination links
- 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
MLA 9th Edition Citations
"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.
"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.
"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.
"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.
"Topic: AMSE Artist | Conservatory Honors Program | Learn@VCS." learn.vcs.net, https://learn.vcs.net/course/view.php?id=1623§ion=8#tabs-tree-start. Accessed 31 Mar. 2026.
"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.
"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.
"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.
"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.
"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.
"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.
"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.
"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.
"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.
"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.
"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
(n.d.). Quarter 4 (2025-26): March 30/31 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241536#
(n.d.). Quarter 4 (2025-26): March 26/27 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241535
(n.d.). Quarter 4 (2025-26): March 24/25 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241534
(n.d.). Quarter 4 (2025-26): March 19/23 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342734&chapterid=241533
(n.d.). Topic: AMSE Artist | Conservatory Honors Program | Learn@VCS. https://learn.vcs.net/course/view.php?id=1623§ion=8#tabs-tree-start
(n.d.). Quarter 4 (2025-26): March 13 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342915
(n.d.). Quarter 4 (2025-26): March 17 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245511
(n.d.). Quarter 4 (2025-26): March 26 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245495
(n.d.). Quarter 4 (2025-26): March 24 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245494
(n.d.). Quarter 4 (2025-26): March 30 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342915&chapterid=245496
(n.d.). Quarter 3 (2025-26): January 6 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342914
(n.d.). Quarter 3 (2025-26): January 8 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245490
(n.d.). Quarter 3 (2025-26): March 11 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245489
(n.d.). Quarter 3 (2025-26): March 5 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245487
(n.d.). Quarter 3 (2025-26): March 9 | Learn@VCS. https://learn.vcs.net/mod/book/view.php?id=342914&chapterid=245488
(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:
- We do NOT own any of this data. All rights to scraped content belong to the original authors, creators, publishers, and rights holders.
- The Software (WebScraper Pro) is open source. Standalone scraper forks must stay open source. Library use in other projects is unrestricted.
- Compatible with MIT, Apache 2.0, BSD, ISC, and MPL 2.0 — other projects can freely use this code.
- Users are solely responsible for ensuring they have the legal right to scrape, store, and redistribute any content they collect.
- 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.txtdirectives - 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