Class 2 Homework — Data Collection & Extraction (geomingical) - #18
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Personal modifications to Task 1 & 2 to fit seismology research workflow: Task 1 (Paper Metadata): - NHESS web scraper demo (arxiv_clean.json, same format as arXiv requirement) - MinerU-based metadata extraction from 32-paper seismology corpus (papers_metadata.json) Task 2 (PDF → Text + Images): - MinerU layout-aware parser replaces Tesseract OCR for text-based PDFs - PyMuPDF native image extraction replaces screenshot-based OCR - Pipeline documented in pipeline_overview.md (Mermaid flowchart) - Sample output included: chang-2023 (.md, content_list.json, 13 native images) - Batch processing script: batch_process.py Task 3 (ASR): - Whisper transcription with timestamps (1 representative sample) Task 4: N/A — MinerU produces clean structured output upstream, eliminating the need for HTML cleaning, dedup, and PII removal
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Summary
Submission for Week 2 homework: Data Collection & Extraction.
Task 1 and Task 2 were adapted to fit a seismology research workflow instead of the arXiv/Tesseract default approach. Core skills are the same; tools and corpus differ.
arxiv_clean.json) + MinerU-based metadata extraction from 32-paper seismology corpus (papers_metadata.json)pipeline_overview.md). Sample output included forchang-2023.talks_transcripts.jsonl)Key files
class2/hw_output/Paper_Abstract/papers_metadata.jsonclass2/hw_output/Paper_Abstract/arxiv_clean.jsonclass2/hw_output/pdf_ocr/pipeline_overview.mdclass2/hw_output/pdf_ocr/sample/chang-2023/class2/hw_output/yt_transcription/talks_transcripts.jsonlSee
class2/Class 2 Homework.ipynbCell 8 for full submission summary and modification rationale.🤖 Generated with Claude Code