Oxford 3000 YouTube Comparison

This repository is dedicated to verifying the coverage of the YouTube subtitles wordlist (3000 Oxford Words in 4 Hours video) against the official Oxford 3000 vocabulary database.

Table of Contents

• Source Video Information
• Repository Structure
• Running the Analysis
• Running the Unit Tests
• Related Projects

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Source Video Information

• Title: Learn 3000 Oxford Words in 1 Video (4 Hours) - Understand 95% of English – Real Conversations

• URL: YouTube Video Link

• Description: This video promises to cover the entire Oxford 3000 wordlist using subtitles. This repository contains the raw subtitle transcripts in English (.en) and Russian (.ru) translation along with text transcripts.

• Source Video Materials (Copied to Root):

  • Learn 3000 Oxford Words in 1 Video (4 Hours) - Understand 95% of English – Real Conversations - YouTube.url (Shortcut to video)
  • English Subtitles (.srt): 20260713121030-learn-3000-oxford-words.en.srt
  • English Transcript (.txt): 20260713121030-learn-3000-oxford-words.en.txt
  • Russian Subtitles (.srt): 20260713121030-learn-3000-oxford-words.ru.srt
  • Russian Transcript (.txt): 20260713121030-learn-3000-oxford-words.ru.txt

• Kardenwort Core Exports (from 20241223170748-kardenwort):

  • English sentence triplets JSON: 20260713162200-hi-rose-good-morning.triple.sentence.en.json
  • English sentence triplets TSV: 20260713162200-hi-rose-good-morning.triple.sentence.en.tsv
  • English word triplets TSV: 20260713162224-hi-rose-good-morning.triple.word.en.tsv

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Repository Structure

U:\voothi\20260715201717-oxford-3000-youtube-comparison\
├── scripts/
│   └── compare_dicts.py                     # Normalized comparison and classification script
├── tests/
│   └── test_compare.py                      # Unit tests for comparison functions
├── 20260715200613-3000-oxford-words-in-4.tsv # YouTube subtitles wordlist to verify
├── 20260715160822-oxford-3000.en.tsv        # Oxford 3000 reference database with levels
├── 20260715165539-oxford-5000-expanded.en.tsv # Oxford 5000 expanded reference database
├── 20260713121030-learn-3000-oxford-words.* # Video subtitles and text files (en/ru)
├── 20260713162200-hi-rose-good-morning.*    # Kardenwort Core export files
├── 20260715202804-dictionary-comparison-results.md # Markdown findings report
├── 20260715202804-missing-words.tsv         # TSV dataset of missing words
├── 20260715202804-superfluous-words.tsv     # TSV dataset of superfluous words
├── Learn 3000 Oxford Words... - YouTube.url  # Link to YouTube video source
├── .gitattributes                           # Git attributes configuration
├── .gitignore                               # Git ignore configuration
├── LICENSE                                  # MIT License
└── README.md                                # This document

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Running the Analysis

To run the dictionary comparison script and update the results:

python scripts/compare_dicts.py

The script will read the datasets, match them against spelling rules and CEFR level definitions from the local reference databases, and write a detailed analysis markdown report to 20260715202804-dictionary-comparison-results.md along with detailed TSV lists of missing and superfluous words to 20260715202804-missing-words.tsv and 20260715202804-superfluous-words.tsv.

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Running the Unit Tests

Execute the unit test suite from the terminal:

python tests/test_compare.py

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Related Projects

• Oxford Curation Project: Oxford 3000/5000 Wordlist Curation & Caching Pipeline
• Kardenwort Core: Kardenwort Core Extraction Project

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