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Flatten data/readings/ → data/

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Remove the intermediate readings/ subdirectory level — dataset naming
(synthetic_YYYYMMDD, manual_YYYYMMDD) already encodes what the data is.
Update all path references across scripts and docs accordingly.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Nathan Schneider
2026-03-20 17:46:23 -06:00
parent 1a80219a25
commit 60e83783ec
533 changed files with 97 additions and 97 deletions
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10
analysis/scripts/classify_readings.py
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@@ -7,10 +7,10 @@ filled with the neutral value (5), so shortform readings can still be
classified — though with lower confidence.
Usage:
python3 scripts/classify_readings.py data/readings/manual_20260320/readings.csv
python3 scripts/classify_readings.py data/readings/manual_20260320/readings.csv \\
--training data/readings/synthetic_20251116/readings.csv \\
--output data/readings/manual_20260320/analysis/classifications.csv
python3 scripts/classify_readings.py data/manual_20260320/readings.csv
python3 scripts/classify_readings.py data/manual_20260320/readings.csv \\
--training data/synthetic_20251116/readings.csv \\
--output data/manual_20260320/analysis/classifications.csv
"""
import argparse
@@ -29,7 +29,7 @@ def main():
parser.add_argument('input_csv', help='Readings CSV to classify')
parser.add_argument(
'--training',
default='data/readings/synthetic_20251116/readings.csv',
default='data/synthetic_20251116/readings.csv',
help='Training CSV for classifier (default: synthetic_20251116)'
)
parser.add_argument(