release/DATA_DICTIONARY.md

SenseShift-RL Data Dictionary

worlds.parquet

Column	Meaning
world_id	Stable authored geographic-world identifier.
world_role	Train, calibration, or held-out test geography.
world_role_sha256	Hash used to assign the frozen world role.
latitude_bin, longitude_bin	Authored fixed-cell indices.
cell_center_latitude, cell_center_longitude	Fixed geometric cell center.
site_count	Number of sites; exactly eight in environment v1.

sites.parquet

Column	Meaning
world_id, slot	World and action-slot key.
site_id, monitor_id	AQShift-US/EPA source identifiers.
latitude, longitude, elevation_m	Static EPA site metadata.
train_valid_coverage	Training-period valid-day fraction used for selection.
distance_to_cell_center_km	Authored haversine distance used in panel selection.

measurements.parquet

Column	Meaning
track	Allowed protocol partition.
world_id, slot, site_id, monitor_id, local_date	Natural row key and provenance.
measurement_value_ppm	Valid EPA daily 8-hour ozone maximum; null otherwise.
value_normalized	(value - train median) / train IQR; null otherwise.
valid_measurement	Whether this row may enter reward truth.
availability_reason	Validity reason or no_source_row.
source_last_change_date	EPA record revision date where a source row exists.

episodes.parquet

Column	Meaning
episode_id	Unique fixed episode identifier.
track, world_id	Protocol partition and world.
episode_start_date, episode_end_date	Inclusive 90-day boundary.
calendar_year, quarter_index	Calendar grouping.
episode_days	Exactly 90 in environment v1.

normalization.json

Global training-only median/IQR statistics and the method-lock hash.

baseline_episode_metrics.parquet

One row per policy, test episode, and policy seed. It contains total and per-calendar-day return, field Huber loss, query rate, selected-missing rate, scorable coverage, and episode size.

baseline_metrics.json and tabular_q_values.npy

Macro-by-world summaries with uncertainty metadata, plus the frozen transparent Q-table used for test evaluation.