add 1 samples to [D_05], dataset total 1

README.md

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+---
+license: mit
+task_categories:
+- object-detection
+language:
+- zh
+- en
+pretty_name: LottoScan License Plates
+tags:
+- license-plate
+- ocr
+- obb
+size_categories:
+- n<1K
+configs:
+- config_name: default
+  data_files:
+  - split: D_01
+    path: data/D_01/*.parquet
+  - split: D_02
+    path: data/D_02/*.parquet
+  - split: D_03
+    path: data/D_03/*.parquet
+  - split: D_04
+    path: data/D_04/*.parquet
+  - split: D_05
+    path: data/D_05/*.parquet
+  - split: D_06
+    path: data/D_06/*.parquet
+  - split: D_07
+    path: data/D_07/*.parquet
+  - split: D_08
+    path: data/D_08/*.parquet
+  - split: D_09
+    path: data/D_09/*.parquet
+  - split: D_10
+    path: data/D_10/*.parquet
+  - split: D_11
+    path: data/D_11/*.parquet
+  - split: D_12
+    path: data/D_12/*.parquet
+  - split: N_01
+    path: data/N_01/*.parquet
+  - split: N_02
+    path: data/N_02/*.parquet
+  - split: N_03
+    path: data/N_03/*.parquet
+  - split: N_04
+    path: data/N_04/*.parquet
+  - split: N_05
+    path: data/N_05/*.parquet
+  - split: N_06
+    path: data/N_06/*.parquet
+  - split: N_07
+    path: data/N_07/*.parquet
+  - split: N_08
+    path: data/N_08/*.parquet
+  - split: N_09
+    path: data/N_09/*.parquet
+  - split: N_10
+    path: data/N_10/*.parquet
+  - split: N_11
+    path: data/N_11/*.parquet
+  - split: N_12
+    path: data/N_12/*.parquet
+---
+
+# LottoScan License Plates
+
+License plate dataset with **4-point oriented bounding boxes** and plate text labels.
+All images are 640x640 JPEG.
+
+Total samples: **1**
+Splits: **24** (D-01..D-12 for daytime, N-01..N-12 for nighttime)
+
+## Categories (4 dims × cartesian)
+
+Split names use underscore (D_NN, N_NN) because HuggingFace forbids
+dashes in split names.
+
+- Time: D=day / N=night
+- Distance: near / mid / far (encoded in id index 1-4 / 5-8 / 9-12)
+- Plate count: 1-2 (odd within block) / 3+ (even within block)
+- Angle: front <30° (odd) / oblique >30° (even)
+
+Per-split row counts:
+
+| Split | Rows |
+|-------|------|
+| D_01 | 0 |
+| D_02 | 0 |
+| D_03 | 0 |
+| D_04 | 0 |
+| D_05 | 1 |
+| D_06 | 0 |
+| D_07 | 0 |
+| D_08 | 0 |
+| D_09 | 0 |
+| D_10 | 0 |
+| D_11 | 0 |
+| D_12 | 0 |
+| N_01 | 0 |
+| N_02 | 0 |
+| N_03 | 0 |
+| N_04 | 0 |
+| N_05 | 0 |
+| N_06 | 0 |
+| N_07 | 0 |
+| N_08 | 0 |
+| N_09 | 0 |
+| N_10 | 0 |
+| N_11 | 0 |
+| N_12 | 0 |
+
+## Schema (per row)
+
+| Field            | Type           | Description                                      |
+|------------------|----------------|--------------------------------------------------|
+| `image`          | Image          | 640x640 JPEG                                     |
+| `quadrilaterals` | float[N][4][2] | Normalized 4-point quads, order: 左上→右上→右下→左下 |
+| `plate_texts`    | string[N]      | Plate text strings, parallel to quadrilaterals   |
+
+## Usage
+
+```python
+from datasets import load_dataset
+ds_d05 = load_dataset("a27259954/4DataTool", split="D_05")  # 中距離 / 1-2 個 / 直視
+sample = ds_d05[0]
+sample["image"]            # PIL.Image
+sample["quadrilaterals"]   # [[[x,y],...]]
+sample["plate_texts"]      # ["ABC-1234", ...]
+```

data/D_05/D_05-00001.parquet

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