Datasets:
Languages:
English
Size:
100K<n<1M
Tags:
autonomous-navigation
autonomous-driving
imitation-learning
continual-learning
domain-shift
semantic-segmentation
License:
checo1092 commited on
Commit ·
e49b848
1
Parent(s): 1aa9bd3
Rename dataset manifest and add dataset illustrations
Browse files- .gitattributes +2 -0
- README.md +11 -1
- dataset_info.json +1 -1
- benchmark_manifest.json → dataset_manifest.json +0 -0
- docs/assets/trajectories_by_split.pdf +3 -0
- docs/assets/trajectories_by_split.png +3 -0
- docs/assets/weather_traffic.pdf +3 -0
- docs/assets/weather_traffic.png +3 -0
- docs/assets/weather_traffic_frames.json +92 -0
- docs/data_dictionary.md +6 -6
- docs/data_provenance.md +5 -5
- docs/figures.md +17 -0
- docs/sensor_configuration.md +1 -1
.gitattributes
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@@ -7,3 +7,5 @@
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*.sha256 text
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LICENSE text
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VERSION text
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*.sha256 text
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LICENSE text
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VERSION text
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docs/assets/*.pdf filter=lfs diff=lfs merge=lfs -text
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docs/assets/*.png filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -212,7 +212,7 @@ See `spatial_splits.json` for the final frozen spawn indices.
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```text
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dataset_info.json Dataset-level release summary.
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-
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spatial_splits.json Frozen spatial train/validation/test split.
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shards_manifest.csv Shard-level manifest with SHA256 checksums.
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checksums.sha256 SHA256 checksum file for all tar shards.
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@@ -254,3 +254,13 @@ All authors contributed equally to this work.
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## Limitations
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EgoSpatial-CL is a simulated dataset. It does not provide continuous intra-sequence domain transitions, optical flow, dense depth, 2D/3D object boxes, or multi-view camera annotations. It should be used as a compact, spatially controlled dataset for navigation/control-oriented studies rather than as a replacement for large-scale perception datasets.
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```text
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dataset_info.json Dataset-level release summary.
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dataset_manifest.json Episode, domain, split, shard, and provenance manifest.
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spatial_splits.json Frozen spatial train/validation/test split.
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shards_manifest.csv Shard-level manifest with SHA256 checksums.
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checksums.sha256 SHA256 checksum file for all tar shards.
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## Limitations
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EgoSpatial-CL is a simulated dataset. It does not provide continuous intra-sequence domain transitions, optical flow, dense depth, 2D/3D object boxes, or multi-view camera annotations. It should be used as a compact, spatially controlled dataset for navigation/control-oriented studies rather than as a replacement for large-scale perception datasets.
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## Dataset illustrations
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Weather and traffic at two Town02 starting slots. [Frame identities, trajectory maps by split, and reproduction links](docs/figures.md).
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The release manifest is named `dataset_manifest.json`. The filename replaces the earlier name; its contents and the frozen split are unchanged.
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dataset_info.json
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@@ -75,6 +75,6 @@
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"episode_id": "town-local integer identifier in the original episode directory naming scheme",
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"episode": "town-local episode directory name, unique only together with town and split",
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"episode_uid": "release-level unique episode identifier formatted as <town>/<split>/<episode>",
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-
"global_episode_index": "release-level integer index assigned in
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}
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}
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"episode_id": "town-local integer identifier in the original episode directory naming scheme",
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"episode": "town-local episode directory name, unique only together with town and split",
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"episode_uid": "release-level unique episode identifier formatted as <town>/<split>/<episode>",
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"global_episode_index": "release-level integer index assigned in dataset_manifest.json order"
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}
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}
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benchmark_manifest.json → dataset_manifest.json
RENAMED
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File without changes
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docs/assets/trajectories_by_split.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d1daa463f720b56282303b892285adb0e56386f146751f3ab963bb7bc2a8452
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size 171103
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docs/assets/trajectories_by_split.png
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Git LFS Details
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docs/assets/weather_traffic.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:bffd91ff06bbd71ec00e89ec1e28da0ffe27750ab477a0b7d93a620c43cdb7fe
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size 3410483
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docs/assets/weather_traffic.png
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Git LFS Details
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docs/assets/weather_traffic_frames.json
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{
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"frames": [
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{
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"row": 1,
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"column": 1,
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"episode_uid": "Town02_Opt/train/episode_0000",
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"frame": 7847,
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"rgb_path": "Town02_Opt/train/episode_0000/images/007847.png",
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"sha256": "e6f9c7aabb9af806ce20c2efa51793eee664c07e00dc7bc67575780447f217f5",
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"domain": "clear__NPC00_none",
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"spawn_index": 84
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},
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{
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"row": 1,
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"column": 2,
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"episode_uid": "Town02_Opt/train/episode_0030",
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"frame": 106232,
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"rgb_path": "Town02_Opt/train/episode_0030/images/106232.png",
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"sha256": "2487905cbc2ff79919f2507cab13b6d362468f56224b11a01e4e3f3e4d5e65a3",
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"domain": "hardrain__NPC00_none",
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"spawn_index": 84
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},
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{
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"row": 1,
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"column": 3,
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"episode_uid": "Town02_Opt/train/episode_0040",
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"frame": 25719,
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"rgb_path": "Town02_Opt/train/episode_0040/images/025719.png",
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"sha256": "b44acd218373c5fbd398345050c280adb54f0686ce39ce617882c90cc63388ca",
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"domain": "clear__NPC11_veh_high",
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"spawn_index": 84
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},
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{
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"row": 1,
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"column": 4,
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"episode_uid": "Town02_Opt/train/episode_0050",
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"frame": 128349,
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"rgb_path": "Town02_Opt/train/episode_0050/images/128349.png",
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"sha256": "a5065d7780167ca53276bb9f61752e0895e39dedbf9f66421866ef25562b150a",
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"domain": "hardrain__NPC11_veh_high",
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"spawn_index": 84
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},
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{
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"row": 2,
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"column": 1,
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"episode_uid": "Town02_Opt/test/episode_0009",
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"frame": 98024,
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"rgb_path": "Town02_Opt/test/episode_0009/images/098024.png",
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"sha256": "289e612eb4a76f43db44b8de75d2e25037791b24dcd0adc40959689628005bf4",
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"domain": "clear__NPC00_none",
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"spawn_index": 5
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},
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{
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"row": 2,
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"column": 2,
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"episode_uid": "Town02_Opt/test/episode_0039",
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"frame": 19986,
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"rgb_path": "Town02_Opt/test/episode_0039/images/019986.png",
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"sha256": "6caada53b3bb156742273f2b55abc452510d20ce51a3f502c3bef1e3a5150918",
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"domain": "hardrain__NPC00_none",
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"spawn_index": 5
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},
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{
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"row": 2,
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"column": 3,
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"episode_uid": "Town02_Opt/test/episode_0049",
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"frame": 117436,
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"rgb_path": "Town02_Opt/test/episode_0049/images/117436.png",
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"sha256": "8e6d3fd019872f2a82622ba367b60c210642066acbda357d74c6d190c7b67051",
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"domain": "clear__NPC11_veh_high",
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"spawn_index": 5
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},
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{
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"row": 2,
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"column": 4,
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"episode_uid": "Town02_Opt/test/episode_0059",
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"frame": 17698,
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"rgb_path": "Town02_Opt/test/episode_0059/images/017698.png",
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"sha256": "9c0858400dc52645994fa78ce28adaa861b0071ba91188d2b1bb2120974c7f66",
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"domain": "hardrain__NPC11_veh_high",
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"spawn_index": 5
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}
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],
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"columns": [
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"clear without NPCs",
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"hard rain without NPCs",
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"clear with vehicles",
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"hard rain with vehicles"
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],
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"maximum_xy_offset_m": 0.57,
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"maximum_heading_offset_deg": 0.6
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}
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docs/data_dictionary.md
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- `episode_id` is a town-local integer identifier inherited from the original episode directory naming scheme.
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- `episode` is the town-local directory name, for example `episode_0000`.
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- `episode_uid` in `
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- `global_episode_index` in `
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## Core Counts
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| `provenance` | object | Generation provenance summary. |
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| `notes` | array | Release notes. |
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### `
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Episode-level and shard-level manifest.
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| Field | Type | Description |
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|---|---|---|
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| `warnings` | array | Packaging/manifest warnings; empty for the validated v1.0.0 metadata state. |
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| `provenance` | object | Generation provenance summary. |
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#### `
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Each object in `episodes` describes one complete episode. Release-level uniqueness is provided by `episode_uid` and `global_episode_index`.
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| `spawn_index` | integer | CARLA spawn-point index used for the ego vehicle. |
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| `meta_summary` | object | Selected episode metadata copied from `meta.json`, including map, seed, weather label, and key weather parameters. |
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#### `
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Each object in `shards` describes one packed tar shard.
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- `episode_id` is a town-local integer identifier inherited from the original episode directory naming scheme.
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- `episode` is the town-local directory name, for example `episode_0000`.
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- `episode_uid` in `dataset_manifest.json` is the unique release-level identifier formatted as `<Town>/<split>/<episode>`.
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- `global_episode_index` in `dataset_manifest.json` is a unique integer index assigned in manifest order.
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## Core Counts
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| `provenance` | object | Generation provenance summary. |
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| `notes` | array | Release notes. |
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### `dataset_manifest.json`
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Episode-level and shard-level manifest. The legacy key `benchmark_name` is retained for schema compatibility; `dataset_name` identifies the dataset.
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| Field | Type | Description |
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|---|---|---|
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| `warnings` | array | Packaging/manifest warnings; empty for the validated v1.0.0 metadata state. |
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| `provenance` | object | Generation provenance summary. |
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#### `dataset_manifest.json.episodes[]`
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Each object in `episodes` describes one complete episode. Release-level uniqueness is provided by `episode_uid` and `global_episode_index`.
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| `spawn_index` | integer | CARLA spawn-point index used for the ego vehicle. |
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| `meta_summary` | object | Selected episode metadata copied from `meta.json`, including map, seed, weather label, and key weather parameters. |
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#### `dataset_manifest.json.shards[]`
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Each object in `shards` describes one packed tar shard.
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docs/data_provenance.md
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License: CC BY 4.0
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```
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The public v1.0.0 artifact is a dataset with
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## Provenance Summary
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```text
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spatial_splits.json
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-
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```
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Episode identifiers in the release manifest:
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| File | Purpose |
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|---|---|
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| `dataset_info.json` | Dataset-level summary, version, license, repository links, counts, and provenance summary. |
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| `
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| `spatial_splits.json` | Frozen spatial train/validation/test split by town and spawn index. |
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| `shards_manifest.csv` | Tabular shard manifest with path, SHA256, size, town, split, and included episodes. |
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| `checksums.sha256` | Standard SHA256 checksum file for all tar shards. |
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- `VERSION` is final;
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- `CITATION.cff` is reviewed;
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- `dataset_info.json` has no local paths and no internal pre-release names;
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- `
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- `checksums.sha256` and `shards_manifest.csv` are present and verified;
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- `docs/data_dictionary.md`, `docs/sensor_configuration.md`, and this provenance document are reviewed;
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- no further file renaming, repository renaming, or license changes are expected.
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- `README.md`;
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- `dataset_info.json`;
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- `
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- `CITATION.cff`;
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- `docs/data_provenance.md`;
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- any Scientific Data manuscript references to the dataset repository.
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License: CC BY 4.0
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```
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The public v1.0.0 artifact is a dataset with fixed starting-location assignments and documented domains. The accompanying code repository provides dataset generation, validation, loading, and visualization utilities. Detailed continual-learning and KAN methods and evaluations are outside the scope of this dataset release and are reserved for a separate methodological article.
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## Provenance Summary
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```text
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spatial_splits.json
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dataset_manifest.json
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```
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Episode identifiers in the release manifest:
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| File | Purpose |
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|---|---|
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| `dataset_info.json` | Dataset-level summary, version, license, repository links, counts, and provenance summary. |
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| `dataset_manifest.json` | Episode-level and shard-level manifest with domains, splits, spawn indices, shard paths, byte sizes, and SHA256 checksums. |
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| `spatial_splits.json` | Frozen spatial train/validation/test split by town and spawn index. |
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| `shards_manifest.csv` | Tabular shard manifest with path, SHA256, size, town, split, and included episodes. |
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| `checksums.sha256` | Standard SHA256 checksum file for all tar shards. |
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- `VERSION` is final;
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- `CITATION.cff` is reviewed;
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- `dataset_info.json` has no local paths and no internal pre-release names;
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- `dataset_manifest.json` has no local paths and includes final release metadata;
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- `checksums.sha256` and `shards_manifest.csv` are present and verified;
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| 295 |
- `docs/data_dictionary.md`, `docs/sensor_configuration.md`, and this provenance document are reviewed;
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| 296 |
- no further file renaming, repository renaming, or license changes are expected.
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|
| 300 |
- `README.md`;
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| 301 |
- `dataset_info.json`;
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+
- `dataset_manifest.json`;
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| 303 |
- `CITATION.cff`;
|
| 304 |
- `docs/data_provenance.md`;
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| 305 |
- any Scientific Data manuscript references to the dataset repository.
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docs/figures.md
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# Dataset illustrations
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| 2 |
+
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| 3 |
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## Weather and background traffic
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| 4 |
+
|
| 5 |
+

|
| 6 |
+
|
| 7 |
+
Two Town02 starting slots: spawn 84 (training, top) and spawn 5 (test, bottom). Columns: clear and hard rain without traffic, followed by clear and hard rain with vehicles. Episodes with traffic requested 50 vehicles. Frames retain the full field of view; poses within each row differ by at most 0.57 m and 0.6 degrees. See [frame identifiers](assets/weather_traffic_frames.json) and [PDF](assets/weather_traffic.pdf).
|
| 8 |
+
|
| 9 |
+
## Trajectories by split
|
| 10 |
+
|
| 11 |
+

|
| 12 |
+
|
| 13 |
+
Seven towns, two domains (clear without NPCs and clear with vehicles and pedestrians), ten starting slots per town/domain: 140 episodes with 1,000 saved positions each. Colours identify train/validation/test assignments; dots identify starts. Both conditions within a town share a spatial scale; scale bars differ between towns. Nearby paths may occupy different lanes or directions. Distinct starting slots do not imply disjoint routes. [PDF](assets/trajectories_by_split.pdf).
|
| 14 |
+
|
| 15 |
+
## Reproduction and CLIP characterization
|
| 16 |
+
|
| 17 |
+
[Figure-generation scripts and CLIP diagram](https://github.com/checo1092/egospatial-cl-code/blob/main/docs/publication_figures.md) are provided in the code repository. Images in this dataset repository are covered by its CC BY 4.0 license.
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docs/sensor_configuration.md
CHANGED
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@@ -313,7 +313,7 @@ Each town uses 10 frozen spawn slots reused across all compact domains:
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|
| 313 |
1 test slot
|
| 314 |
```
|
| 315 |
|
| 316 |
-
The exact spawn indices are stored in `spatial_splits.json` and episode-level records in `
|
| 317 |
|
| 318 |
Excluded from release v1.0.0:
|
| 319 |
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|
| 313 |
1 test slot
|
| 314 |
```
|
| 315 |
|
| 316 |
+
The exact spawn indices are stored in `spatial_splits.json` and episode-level records in `dataset_manifest.json`.
|
| 317 |
|
| 318 |
Excluded from release v1.0.0:
|
| 319 |
|