Add 8 synchronized three-view uint16 NumPy training samples

README.md

@@ -14,7 +14,7 @@ pretty_name: Low-altitude RF world-model training episodes
 
 # Low-altitude RF world-model training data
 
-推荐下载 **compact_uint16** 完整 NumPy 训练包。当前清单含 **3913 条**（动态 UAV RF 实体 3308 条，历史辅助 605 条）。统计范围：`committed_on_huggingface`，正在增量上传，尚不是全量完成声明。
+推荐下载 **compact_uint16** 完整 NumPy 训练包。当前清单含 **3921 条**（动态 UAV RF 实体 3308 条，历史辅助 613 条）。统计范围：`committed_on_huggingface`，正在增量上传，尚不是全量完成声明。
 
 完整下载清单：[`compact_uint16/manifests/train.jsonl`](https://huggingface.co/datasets/DaftJun/RFWM/resolve/main/compact_uint16/manifests/train.jsonl)。每行含仓库内路径、字节数、SHA256、城市、物理场景组、版本及训练用途。每个 `.tar.gz` 是可独立读取的完整样本，包含：
 

compact_uint16/README.md

@@ -14,7 +14,7 @@ pretty_name: Low-altitude RF world-model training episodes
 
 # Low-altitude RF world-model training data
 
-推荐下载 **compact_uint16** 完整 NumPy 训练包。当前清单含 **3913 条**（动态 UAV RF 实体 3308 条，历史辅助 605 条）。统计范围：`committed_on_huggingface`，正在增量上传，尚不是全量完成声明。
+推荐下载 **compact_uint16** 完整 NumPy 训练包。当前清单含 **3921 条**（动态 UAV RF 实体 3308 条，历史辅助 613 条）。统计范围：`committed_on_huggingface`，正在增量上传，尚不是全量完成声明。
 
 完整下载清单：[`compact_uint16/manifests/train.jsonl`](https://huggingface.co/datasets/DaftJun/RFWM/resolve/main/compact_uint16/manifests/train.jsonl)。每行含仓库内路径、字节数、SHA256、城市、物理场景组、版本及训练用途。每个 `.tar.gz` 是可独立读取的完整样本，包含：
 

compact_uint16/data/legacy_aux/data_v3_gpuopt_p3/chicago/chicago_033_episode_005.tar.gz

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+size 246092419

compact_uint16/data/legacy_aux/data_v3_gpuopt_p3/houston/houston_021_episode_001.tar.gz

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+size 237712733

compact_uint16/data/legacy_aux/data_v3_gpuopt_p3/houston/houston_021_episode_002.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:97535426bae5db31e001285a8341a408b0ac53904e94a548ef796fa988c16859
+size 235254930

compact_uint16/data/legacy_aux/data_v3_gpuopt_p3/houston/houston_021_episode_003.tar.gz

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+size 232137953

compact_uint16/data/legacy_aux/data_v3_gpuopt_p3/houston/houston_021_episode_005.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f2f65b52363bc606a84d4d9d067f361977bc49969215f1ad74647686635c5f32
+size 230307137

compact_uint16/data/legacy_aux/data_v5/chicago/chicago_region_00000_bs_uav_episode_000.tar.gz

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+size 144963174

compact_uint16/data/legacy_aux/data_v5/chicago/chicago_region_00001_bs_uav_episode_000.tar.gz

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+size 121842182

compact_uint16/data/legacy_aux/data_v5/chicago/chicago_region_00002_bs_uav_episode_000.tar.gz

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+version https://git-lfs.github.com/spec/v1
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+size 107120815

compact_uint16/dataset_summary.json

@@ -1,17 +1,17 @@
 {
-  "updated_shanghai": "2026-11-01T04:42:47.535813+08:00",
+  "updated_shanghai": "2026-11-01T04:43:47.831323+08:00",
   "scope": "committed_on_huggingface",
   "repository": "DaftJun/RFWM",
-  "complete_samples": 3913,
+  "complete_samples": 3921,
   "dynamic_rf_samples": 3308,
-  "legacy_auxiliary_samples": 605,
+  "legacy_auxiliary_samples": 613,
   "counts_by_city": {
     "boston": 752,
-    "chicago": 1581,
-    "houston": 1580
+    "chicago": 1585,
+    "houston": 1584
   },
-  "unique_physical_groups": 3911,
-  "total_tar_bytes": 729076357598,
+  "unique_physical_groups": 3919,
+  "total_tar_bytes": 730631788941,
   "split": "train",
   "rf_encoding": "uint16 centi-dBm; decode to float32 dBm with step 0.01 and offset 32768; invalid code 0",
   "edition": "uint16",

compact_uint16/manifests/legacy_aux_train.jsonl

@@ -285,6 +285,7 @@
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 {"record_id": "data_v3_gpuopt_p3/houston_000_episode_001", "sample_id": "houston_000_episode_001", "scene_id": "houston_000", "source_version": "data_v3_gpuopt_p3", "city": "houston", "split": "train", "source_split": "train", "physical_episode_group": "39d6ace9accf07ee45af541ca6f46516b0e0062510fe74b14f0a85e6228372d6", "dynamic_rf_uav_body": false, "recommended_training_use": "legacy_multi_transmitter_rf_pretraining", "qa_protocol": "legacy_version_gates", "confidence_evaluated": true, "control_schedule": "legacy_per_frame_or_source_config", "path": "compact_uint16/data/legacy_aux/data_v3_gpuopt_p3/houston/houston_000_episode_001.tar.gz", "sha256": "747671da0267eefccffdabf7ff2b0ed85b6cabb9fcbb75195297df194f730461", "bytes": 236434520, "rf_shape": [30, 24, 512, 512], "rf_dataset": null, "rf_dtype": "uint16", "rf_unit": "dBm", "rf_compression": {"codec": "gzip", "level": 4, "array_order": "F"}, "invalid_value": 0, "visual_views": ["bs", "topdown", "elevated"], "rgb_image_count": 90, "packaged_shanghai": "2026-11-01T03:08:44.315134+08:00", "export_seconds": 48.025, "rf_file": "rss_dbm_uint16.npy", "rf_encoding": "uint16_centi_dbm_v1", "decoded_invalid": "NaN", "step_db": 0.01, "integer_offset": 32768, "additional_quantization_error_db": 0.0, "clipped_voxels": 0, "source_float32_path": "data/legacy_aux/data_v3_gpuopt_p3/houston/houston_000_episode_001.tar", "source_float32_sha256": "91d2d5b38251e383740ed9d3e76a015c1c91582e1d9a2598173c321cbca1b052", "source_float32_bytes": 326133760, "source_float32_packaged_shanghai": "2026-11-01T03:07:50.939106+08:00", "conversion_validation": {"rss_shape": [30, 24, 512, 512], "rss_dtype": "uint16", "rss_array_order": "F", "rss_all_values_exact": true, "state_arrays_exact": 9, "rgb_images": 90, "rgb_timestamps_exact": true, "numpy_directory_bytes": 428310647, "source_tar_bytes": 326133760, "conversion_and_verification_seconds": 26.618}}
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compact_uint16/manifests/train.jsonl

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