Restore original dataset structure with virtual MAC addresses

.gitattributes

@@ -59,3 +59,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
 data/airport/fingerprint_database/raw_observations.csv filter=lfs diff=lfs merge=lfs -text
+data/Airport/Fingerprint[[:space:]]Database/OriginDat/RSSOridat.csv filter=lfs diff=lfs merge=lfs -text
+data/Airport/Fingerprint[[:space:]]Database/Traditional[[:space:]]Process/Traditional[[:space:]]Process[[:space:]]Dat.csv filter=lfs diff=lfs merge=lfs -text

README.md

@@ -12,153 +12,147 @@ tags:
 
 # HubEdgeLoc Dataset
 
-This repository contains the official privacy-preserving dataset accompanying the paper
+This repository contains the official dataset accompanying the IMWUT paper
 "HubEdgeLoc: Edge-Based Temporally Robust Real-Time Localization for Mobile Assets in Transport Hubs."
 
-The dataset contains longitudinal Wi-Fi received signal strength (RSS) observations from an
-anonymized airport terminal and two anonymized university buildings. The airport data includes an
-initial evaluation and five subsequent monthly evaluations. The campus data includes an initial
-evaluation and two subsequent monthly evaluations.
+HubEdgeLoc is a longitudinal Wi-Fi received signal strength (RSS) dataset collected to study the
+long-term robustness and generalization of lightweight indoor-localization methods on edge devices.
 
 ## Dataset highlights
 
-- **Longitudinal observations:** The airport collections span five months, while the campus
-  collections span two months, supporting research on temporal drift and AP fluctuations.
-- **Two deployment scenarios:** The release covers a large, dynamic transport hub and structured
-  university buildings.
-- **Edge-oriented representations:** Raw long-form observations and compact Top-K fingerprints are
-  provided for research on localization under constrained memory and computation budgets.
-- **Privacy-preserving release:** Wireless identifiers and coordinates are anonymized consistently
-  across collection periods.
-
-This dataset is publicly available under the Creative Commons Attribution 4.0 International
-(CC BY 4.0) license.
-
-## Known limitations
-
-This release does not contain the scan boundaries that associate individual temporal
-RSS observations with trajectory positions. Consequently, temporal observations and positions are
-provided as separate `*_unlinked.csv` files. The exact 80/20 train-validation indices used in the
-paper are also not included. Users must account for these limitations and must not claim that the
-released temporal files alone reproduce the paper's complete evaluation pipeline.
-
-## Privacy
-
-- Raw BSSID/MAC values are replaced globally by random opaque `ap_id` values.
-- A source identifier maps to the same `ap_id` across sites and collection months.
-- The private recovery mapping is not included in this repository.
-- SSIDs, personal identities, global coordinates, and fine-grained timestamps are not included.
-- Coordinates use anonymized local Cartesian coordinate systems measured in meters.
-- Site and institution names are withheld to reduce operational and privacy risks.
+- **Longitudinal span:** Five monthly evaluation collections from a large transportation hub and
+  two monthly evaluation collections from a university building.
+- **Two deployment scenarios:** The campus data was collected on the second floor of the New Main
+  Building at Beihang University. The airport data was collected on the departure level of Terminal
+  2 at Guiyang Longdongbao International Airport.
+- **Multiple database representations:** The original fingerprint data, a conventional dense
+  representation, and the compact Score/Top-K representation used by HubEdgeLoc are all retained.
+- **Edge-oriented:** The compact representation supports research on RSS localization under limited
+  memory and computation budgets.
+
+## Privacy protection
+
+All real BSSID/MAC values have been replaced by unique virtual MAC addresses before publication.
+The published values in the `Mac` fields are synthetic identifiers and are not the actual
+BSSID/MAC addresses broadcast by the access points at either deployment site.
+The same original identifier is represented by the same virtual MAC throughout the airport and
+campus data and across all collection months. The virtual addresses use the locally administered
+unicast prefix `02`. The private recovery mapping is not included. The all-zero MAC value is retained
+only where it is used as a padding entry in the original processed data.
+
+No SSIDs, personal-device identifiers, passenger identities, global coordinates, or fine-grained
+timestamps are included. Coordinates are expressed in the original local Cartesian coordinate
+systems in meters.
 
 ## Directory structure
 
+The original data organization, filenames, row order, headers, numerical values, and derived
+representations are preserved. Only real MAC values have been replaced.
+
 ```text
 data/
-  airport/
-    fingerprint_database/
-      raw_observations.csv
-      processed/
-        reference_positions.csv
-        ap_index.csv
-        topk_ap_indices.csv
-        topk_rss_magnitudes.csv
-    init/
-    month_1/ ... month_5/
-  campus/
-    fingerprint_database/
-      raw_observations.csv
-      processed/
-        reference_positions.csv
-        ap_index.csv
-        topk_ap_indices.csv
-        topk_rss_magnitudes.csv
-    init/
-    month_1/ ... month_2/
+|-- Airport/
+|   |-- Fingerprint Database/
+|   |   |-- OriginDat/
+|   |   |   `-- RSSOridat.csv
+|   |   |-- Traditional Process/
+|   |   |   `-- Traditional Process Dat.csv
+|   |   `-- After Score Process/
+|   |       |-- Macnumtrain.csv
+|   |       |-- postrain.csv
+|   |       |-- ToPKnumMactrain.csv
+|   |       `-- TopKRSStrain.csv
+|   |-- Init/
+|   |-- Month1/
+|   |-- Month2/
+|   |-- Month3/
+|   |-- Month4/
+|   `-- Month5/
+`-- Campus/
+    |-- Fingerprint Database/
+    |   |-- Original Data/
+    |   |   `-- RSSOridat.csv
+    |   |-- After Traditional Process/
+    |   |   `-- Traditional Process Dat.csv
+    |   `-- After Score Process/
+    |       |-- Macnumtrain.csv
+    |       |-- postrain.csv
+    |       |-- TopKnumMactrain.csv
+    |       `-- TopKRSStrain.csv
+    |-- Init/
+    |-- Month1/
+    `-- Month2/
 ```
 
-Each temporal collection contains `observations_unlinked.csv` and `positions_unlinked.csv`.
+Each `Init` or `MonthX` directory contains its original `RSS_dat*.csv` Wi-Fi observation file and
+`postest.csv` local-coordinate file.
 
-## Dataset size
-
-| Site | Collection | RSS observation rows | Position rows |
-|---|---:|---:|---:|
-| Airport | Fingerprint database | 433,999 | 2,335 processed reference positions |
-| Airport | Init | 34,135 | 358 |
-| Airport | Month 1 | 16,262 | 358 |
-| Airport | Month 2 | 14,515 | 358 |
-| Airport | Month 3 | 17,053 | 358 |
-| Airport | Month 4 | 11,442 | 358 |
-| Airport | Month 5 | 8,808 | 358 |
-| Campus | Fingerprint database | 74,158 | 1,605 processed reference positions |
-| Campus | Init | 6,392 | 221 |
-| Campus | Month 1 | 5,984 | 221 |
-| Campus | Month 2 | 5,846 | 221 |
-
-Airport Month 3 contains 49 source rows with a missing AP identifier. They are retained as
-`UNKNOWN` so the released row count remains traceable to the paper. These rows must not be treated
-as observations of one shared AP.
+## Fingerprint database
 
-## Data dictionary
+The fingerprint database contains the reference data used to construct the radio map. Three forms
+are provided so that users can inspect the original observations and compare storage strategies.
 
-### Fingerprint database
+### Original data
 
-`raw_observations.csv` contains:
+- Airport: `Airport/Fingerprint Database/OriginDat/RSSOridat.csv`
+- Campus: `Campus/Fingerprint Database/Original Data/RSSOridat.csv`
 
-- `observation_group_id`: source-side observation group identifier.
-- `ap_id`: random opaque identifier that remains stable throughout the release.
-- `mean_rss_dbm`: mean RSS in dBm as stored in the source export.
+These files retain the original columns:
 
-`processed/reference_positions.csv` contains:
+- `Group`: observation group identifier.
+- `Mac`: privacy-preserving virtual MAC address.
+- `AvgRSS`: average RSS value for the group and AP.
 
-- `reference_id`: one-based identifier shared by the processed Top-K files.
-- `x_m`, `y_m`: local Cartesian coordinates in meters.
+### Traditional representation
 
-`processed/ap_index.csv` contains:
+- Airport: `Airport/Fingerprint Database/Traditional Process/Traditional Process Dat.csv`
+- Campus: `Campus/Fingerprint Database/After Traditional Process/Traditional Process Dat.csv`
 
-- `ap_index`: compact integer used by `topk_ap_indices.csv`.
-- `ap_id`: opaque AP identifier; `PAD` represents the padding entry.
+These files contain the original conventional dense fingerprint representation. They are retained
+without numerical or structural changes.
 
-`processed/topk_ap_indices.csv` contains:
+### Score/Top-K representation
 
-- `reference_id`: foreign key to `reference_positions.csv`.
-- `ap_index_01` through `ap_index_20`: ranked compact AP indices. Index `1` is the source padding value.
+The `After Score Process` directories contain:
 
-`processed/topk_rss_magnitudes.csv` contains:
+- `Macnumtrain.csv`: virtual MAC addresses and their compact integer identifiers.
+- `postrain.csv`: reference-point coordinates in the local coordinate system.
+- `ToPKnumMactrain.csv` or `TopKnumMactrain.csv`: Top-K compact AP identifiers for each reference point.
+- `TopKRSStrain.csv`: corresponding Top-K RSS magnitudes. The value `99` is the original padding value.
 
-- `reference_id`: foreign key to `reference_positions.csv`.
-- `rss_magnitude_01` through `rss_magnitude_20`: positive RSS magnitudes. For example, `58`
-  represents approximately `-58 dBm`; `99` is the source padding value.
+The filename `ToPKnumMactrain.csv` in the airport data is preserved from the original dataset.
 
-### Temporal collections
+## Temporal evaluation collections
 
-`observations_unlinked.csv` contains:
+`Init` was collected immediately after construction of the fingerprint database. `Month1` through
+`Month5` for the airport and `Month1` through `Month2` for the campus are subsequent longitudinal
+collections used to evaluate temporal variation and localization degradation over time.
 
-- `record_id`: one-based row identifier added during release preparation. It is not a scan ID.
-- `ap_id`: random opaque AP identifier.
-- `rss_dbm`: RSS in dBm.
+- `RSS_dat*.csv`: Wi-Fi observations with `Mac` and `RSS` fields, retained in the original order.
+- `postest.csv`: corresponding reference trajectory coordinates in the original local coordinate
+  system, retained in the original order.
 
-`positions_unlinked.csv` contains:
-
-- `position_id`: one-based row identifier added during release preparation.
-- `x_m`, `y_m`: local Cartesian coordinates in meters.
-
-The word `unlinked` is intentional. The supplied source export contains neither a scan identifier
-nor group boundaries connecting these RSS rows to position rows. Do not infer the relationship by
-evenly dividing rows or by detecting repeated AP identifiers.
+## Dataset size
 
-## Excluded derived data
+| Site | Collection | RSS records |
+|---|---:|---:|
+| Airport | Init | 34,135 |
+| Airport | Month 1 | 16,262 |
+| Airport | Month 2 | 14,515 |
+| Airport | Month 3 | 17,053 |
+| Airport | Month 4 | 11,442 |
+| Airport | Month 5 | 8,808 |
+| Campus | Init | 6,392 |
+| Campus | Month 1 | 5,984 |
+| Campus | Month 2 | 5,846 |
 
-The original working directory included a 1.98 GB legacy dense matrix dominated by zero
-placeholders. This derived representation is excluded because its construction procedure was not
-documented sufficiently to guarantee bit-for-bit regeneration. The compact raw and Top-K
-representations are retained.
+The counts denote AP observation records, rather than the number of reference trajectory points.
 
 ## Intended use
 
 The dataset is intended for research on indoor RSS fingerprinting, temporal drift, lightweight
-localization, and edge deployment. It must not be used to infer the real-world identity of a site,
-access point, employee, passenger, or device owner.
+localization, and edge deployment. It must not be used to infer or recover the identity of an access
+point, employee, passenger, or device owner.
 
 ## License
 

data/Airport/Fingerprint Database/After Score Process/Macnumtrain.csv

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