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Move personal TSV into repo's data/metadata/ folder

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Personal copy of all_video_info_merged.tsv now lives at
~/cupido/data/metadata/all_video_info_merged.tsv (gitignored) instead
of ~/cupido_metadata.tsv. That sits next to the other small metadata
CSVs (barrier_opening, etc.) — the natural home for it. Updated all
five notebooks and processed/README accordingly.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
Giorgio Gilestro 2026-05-01 09:30:22 +01:00
parent f08e4b843d
commit ac3b8c13f0
7 changed files with 14 additions and 10 deletions
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2
notebooks/getting_started/03_compare_trained_vs_naive.ipynb
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@ -66,7 +66,7 @@
"metadata": {},
"execution_count": null,
"outputs": [],
"source": "# Pick the metadata TSV: prefer your personal copy if you have one,\n# otherwise fall back to the shared (read-only) master.\n#\n# To make a personal copy that you can edit (e.g. flip `include` flags\n# for noisy rows), run this ONCE in a terminal:\n# cp /mnt/data/projects/cupido/all_video_info_merged.tsv ~/cupido_metadata.tsv\nSHARED_TSV = DATA_DIR / \"all_video_info_merged.tsv\"\nPERSONAL_TSV = Path.home() / \"cupido_metadata.tsv\"\ntsv_path = PERSONAL_TSV if PERSONAL_TSV.exists() else SHARED_TSV\n\n# Load the metadata TSV first — it's small and fast.\nmeta = pd.read_csv(tsv_path, sep=\"\\t\")\nprint(f\"loaded {tsv_path} ({'personal' if tsv_path == PERSONAL_TSV else 'shared (read-only)'})\")\nprint(f\"metadata rows: {len(meta)}\")\n"
"source": "# Pick the metadata TSV: prefer your personal copy (a writable copy in\n# your repo's data/metadata/ folder) if you have one, otherwise fall\n# back to the shared (read-only) master on the data volume.\n#\n# To make a personal copy that you can edit (e.g. flip `include` flags\n# for noisy rows), run this ONCE in a terminal:\n# cp /mnt/data/projects/cupido/all_video_info_merged.tsv ~/cupido/data/metadata/\nSHARED_TSV = DATA_DIR / \"all_video_info_merged.tsv\"\nPERSONAL_TSV = REPO_ROOT / \"data\" / \"metadata\" / \"all_video_info_merged.tsv\"\ntsv_path = PERSONAL_TSV if PERSONAL_TSV.exists() else SHARED_TSV\n\n# Load the metadata TSV first — it's small and fast.\nmeta = pd.read_csv(tsv_path, sep=\"\\t\")\nprint(f\"loaded {tsv_path} ({'personal' if tsv_path == PERSONAL_TSV else 'shared (read-only)'})\")\nprint(f\"metadata rows: {len(meta)}\")\n"
},
{
"cell_type": "markdown",