Final dataset-card compliance cleanup

CHECKSUMS_SHA256.txt

@@ -12,8 +12,8 @@ ef32375fae0bdec981f173bc618360bea4e9a2c399fa57265c86d57fb1766ac3  data/processed
 8b4b2237e13b4a39a8d948ddd9c9bbe9c6cb68f32a6b58c67a4093bca1d353e0  data/processed/normalized_cleaned.parquet
 a037706bee3eae6ddebc709c2343a91dbf3c2d28be67ea2012a180391de74639  data/processed/valid_indices.csv
 96ada0dcfef13f89e1ab3b096e8d77ac129d3905421f1a5621bd82142b027dd0  LICENSE_OR_USAGE_NOTES.md
-29a0c67c8e0d91e96f9cced88592839b350c15c4b412b170ac29c234e30096b5  MANIFEST.csv
-8179da9fefc54ad559192d9ef097f5c5299e6240262d249dbcd9b63f00156b92  metadata/active_experiment_config.json
+c84e9ae79270bb36882559ef7e2ed3d87452035de4f30b449669ba37d805bc59  MANIFEST.csv
+0be665f3ec913c54623e61b7cc17836e3cedd5cafd49ea2c72a462dd66031dc9  metadata/active_experiment_config.json
 ab23f1170985390b129b6ffa0d5ba7528111938ba1a5684f3b453a3129ac0753  metadata/bandit_instances/cyclic_5s__final_embedding_divisor_hidden_512__linearized__f7d2fe4d2f94833d.json
 b832d1e4ed75c0917ceda28aaeed00fee827cbdcd3679cbf20d40568298f5f3e  metadata/cyclic_replay_5s_config_with_beta.json
 7f04eb36a1c8538ab3fe0a0277dae5991e96cdbbfe164288800749cb9e5118ff  metadata/cyclic_replay_5s_indices.npy
@@ -21,7 +21,7 @@ b832d1e4ed75c0917ceda28aaeed00fee827cbdcd3679cbf20d40568298f5f3e  metadata/cycli
 83677be3aa7398d150b3387a62a73f60180e415edce1f02d4b76eaf62740c274  metadata/cyclic_replay_trim_points.json
 4d3d4271e407cf724fba8e8af10955e3b8c8f4a1a47832fc377a3966ad8dc683  metadata/final_embedding_divisor_hidden_512/learned_embeddings.npy
 548fbbf3398c4073dca3d1ea7a91ff08cfeebc6c9c3a5e1fec2c0ae35291368d  metadata/final_embedding_divisor_hidden_512/meta.json
-8e5105aad6ff69e73eeac88ec8f1ce64debc8d2d81c57cfd558b231a57d79f25  provenance_public.md
-a9a0bf290bb1a90f5ff82a258fb5b7b417f956b927c35977f7eb3df24bdd712a  README.md
+5ec2f22421d3475b18e39829e8ce4ed2fc930cbec848a28116c3b11f58537897  provenance_public.md
+3e89220219854ad37b9ca58df9a841a4a963b73b230a0985fe5d5962d9c59ef6  README.md
 a2cd894dffef44b771d09703242bd68e7f91bded083132ed9660b66f8d850348  sensor_locations/gq_sensor_locations_active_nodes.csv
 9c7575c6a1396beab04a180327fca783ca4d87b8e96d14a2af7d3e9ba42b1843  sensor_locations/gq_sensor_locations_source.csv

MANIFEST.csv

@@ -13,7 +13,7 @@ data/processed/gdf_cleaned.parquet,processed_data,Processed vehicle bandit table
 data/processed/normalized_cleaned.parquet,processed_data,Processed vehicle bandit table produced from the included raw GQ audio/GPS data.,1242844,8b4b2237e13b4a39a8d948ddd9c9bbe9c6cb68f32a6b58c67a4093bca1d353e0,2026-04-27T02:49:27.692793+00:00,normalized_cleaned.parquet,yes,
 data/processed/valid_indices.csv,processed_data,Processed vehicle bandit table produced from the included raw GQ audio/GPS data.,43873,a037706bee3eae6ddebc709c2343a91dbf3c2d28be67ea2012a180391de74639,2026-04-27T02:49:27.703796+00:00,valid_indices.csv,yes,
 LICENSE_OR_USAGE_NOTES.md,documentation,Public dataset documentation.,739,96ada0dcfef13f89e1ab3b096e8d77ac129d3905421f1a5621bd82142b027dd0,2026-09-12T18:00:05.088814+00:00,,no,Generated/sanitized public metadata.
-metadata/active_experiment_config.json,metadata,Configuration or portable replay/mixing metadata.,900,8179da9fefc54ad559192d9ef097f5c5299e6240262d249dbcd9b63f00156b92,2026-09-12T17:58:49.210588+00:00,,no,Generated/sanitized public metadata.
+metadata/active_experiment_config.json,metadata,Configuration or portable replay/mixing metadata.,903,0be665f3ec913c54623e61b7cc17836e3cedd5cafd49ea2c72a462dd66031dc9,2026-09-12T19:07:02.251536+00:00,,no,Generated/sanitized public metadata.
 metadata/bandit_instances/cyclic_5s__final_embedding_divisor_hidden_512__linearized__f7d2fe4d2f94833d.json,metadata,Configuration or portable replay/mixing metadata.,728,ab23f1170985390b129b6ffa0d5ba7528111938ba1a5684f3b453a3129ac0753,2026-09-12T18:04:08.153156+00:00,cyclic_5s__final_embedding_divisor_hidden_512__linearized__f7d2fe4d2f94833d.json,no,Generated/sanitized public metadata.
 metadata/cyclic_replay_5s_config_with_beta.json,metadata,Configuration or portable replay/mixing metadata.,1538,b832d1e4ed75c0917ceda28aaeed00fee827cbdcd3679cbf20d40568298f5f3e,2026-09-12T18:04:01.823033+00:00,cyclic_replay_5s_config_with_beta.json,no,Generated/sanitized public metadata.
 metadata/cyclic_replay_5s_indices.npy,metadata,Replay/Markov-chain metadata for the paper instance.,8000128,7f04eb36a1c8538ab3fe0a0277dae5991e96cdbbfe164288800749cb9e5118ff,2026-05-06T08:05:30.453203+00:00,cyclic_replay_5s_indices.npy,yes,
@@ -21,7 +21,7 @@ metadata/cyclic_replay_5s_K20_state_labels_one_period.npy,metadata,Replay/Markov
 metadata/cyclic_replay_trim_points.json,metadata,Replay/Markov-chain metadata for the paper instance.,346,83677be3aa7398d150b3387a62a73f60180e415edce1f02d4b76eaf62740c274,2026-04-27T02:58:39.574180+00:00,cyclic_replay_trim_points.json,yes,
 metadata/final_embedding_divisor_hidden_512/learned_embeddings.npy,derived_model,Derived embedding/reward model artifact used to construct the bandit rewards.,92545760,4d3d4271e407cf724fba8e8af10955e3b8c8f4a1a47832fc377a3966ad8dc683,2026-04-26T04:27:24.939331+00:00,learned_embeddings.npy,yes,
 metadata/final_embedding_divisor_hidden_512/meta.json,derived_model,Configuration or portable replay/mixing metadata.,1386,548fbbf3398c4073dca3d1ea7a91ff08cfeebc6c9c3a5e1fec2c0ae35291368d,2026-09-12T18:04:14.495842+00:00,meta.json,no,Generated/sanitized public metadata.
-provenance_public.md,documentation,Public dataset documentation.,3562,8e5105aad6ff69e73eeac88ec8f1ce64debc8d2d81c57cfd558b231a57d79f25,2026-09-12T17:59:56.682455+00:00,,no,Generated/sanitized public metadata.
-README.md,documentation,Public dataset documentation.,6426,a9a0bf290bb1a90f5ff82a258fb5b7b417f956b927c35977f7eb3df24bdd712a,2026-09-12T18:09:10.144825+00:00,,no,Generated/sanitized public metadata.
+provenance_public.md,documentation,Public dataset documentation.,3545,5ec2f22421d3475b18e39829e8ce4ed2fc930cbec848a28116c3b11f58537897,2026-09-12T19:06:53.457058+00:00,,no,Generated/sanitized public metadata.
+README.md,documentation,Public dataset documentation.,6776,3e89220219854ad37b9ca58df9a841a4a963b73b230a0985fe5d5962d9c59ef6,2026-09-12T19:06:44.963373+00:00,,no,Generated/sanitized public metadata.
 sensor_locations/gq_sensor_locations_active_nodes.csv,sensor_locations,Active 9-node sensor GPS table after applying DROP_NODES=[6].,374,a2cd894dffef44b771d09703242bd68e7f91bded083132ed9660b66f8d850348,2026-09-12T15:33:21.411245+00:00,nodes_gps.csv,filtered_rows,Rows filtered to active paper nodes only; coordinate values unchanged.
 sensor_locations/gq_sensor_locations_source.csv,sensor_locations,Source sensor GPS table used by preprocessing; node 6 is recorded but excluded from the paper instance.,419,9c7575c6a1396beab04a180327fca783ca4d87b8e96d14a2af7d3e9ba42b1843,2025-08-13T13:19:05.629519+00:00,nodes_gps.csv,yes,

README.md

@@ -1,18 +1,14 @@
 ---
-license: other
-task_categories:
-- audio-classification
-- time-series-forecasting
 tags:
 - audio
 - geospatial
 - vehicle-tracking
 - sensor-network
 - contextual-bandits
-pretty_name: Grace's Quarters Acoustic Vehicle Tracking Dataset
+pretty_name: Open-Field Acoustic Readings Dataset
 ---
 
-# Grace's Quarters Acoustic Vehicle Tracking Dataset
+# Open-Field Acoustic Readings Dataset
 
 Distribution Statement A. Approved for public release; distribution is unlimited.
 
@@ -20,9 +16,11 @@ Distribution Statement A. Approved for public release; distribution is unlimited
 
 This repository contains synchronized outdoor acoustic recordings, vehicle GPS,
 sensor locations, processed 200 ms observations, and portable derived metadata
-for one Grace's Quarters vehicle-tracking sequence. It contains dataset files and
-dataset documentation only. Research algorithms, experiment drivers, training
-code, plotting code, notebooks, and manuscript sources are not included.
+for the single approved open-field vehicle-tracking sequence used by the
+associated experiment. It is not a release of other recordings collected at
+the deployment site. This repository contains dataset files and dataset
+documentation only. Research algorithms, experiment drivers, training code,
+plotting code, notebooks, and manuscript sources are not included.
 
 The sequence uses nine active acoustic nodes: `1, 2, 3, 4, 5, 7, 8, 9, 10`.
 Node 6 is retained in the source sensor-location table for provenance but was
@@ -44,6 +42,15 @@ There are no `examples_with_embed.pkl` or bandit-instance pickle caches in this
 release. Those objects are implementation caches reconstructible from the
 released tables, arrays, metadata, and an experiment implementation.
 
+## Distribution and Usage Status
+
+This dataset was approved for public release under:
+
+Distribution Statement A. Approved for public release; distribution is unlimited.
+
+No separate standard open-source or Creative Commons license is asserted by
+this dataset card. See `LICENSE_OR_USAGE_NOTES.md` for the approved usage notes.
+
 ## Raw Formats
 
 ### Audio

metadata/active_experiment_config.json

@@ -1,5 +1,5 @@
 {
-  "dataset": "Grace's Quarters vehicle bandit instance",
+  "dataset": "Open-field acoustic vehicle bandit instance",
   "raw_sequence": "20250812_1050",
   "vehicle_gps_public_file": "data/gps/vehicle_gps_20250812_105042.csv",
   "active_nodes": [

provenance_public.md

@@ -67,8 +67,8 @@ Direct model inference differed from the retained embedding array by at most
 The resulting cyclic instance, including rewards, replay indices, states,
 transition matrix, and mixing estimates, matched the prior cache exactly.
 
-No original/private Grace's Quarters scientific file was read during the clean
-build. The public data therefore contain sufficient scientific information to
+No original/private scientific file was read during the clean build. The
+public data therefore contain sufficient scientific information to
 reconstruct the experimental instance when combined with the experiment
 implementation. Private validation logs and source filesystem paths are not
 part of this release.