Update dataset (CC-BY-4.0)

LICENSE

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+CC-BY-4.0

README.md

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----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+tags:
+  - image-dataset
+  - object-detection
+  - tic-tac-toe
+task_categories:
+  - object-detection
+---
+
+# Tic-tac-toe Board Dataset
+
+## Overview
+- Dataset for occupancy detection of tic-tac-toe boards (top-down view).
+- Contents: real images `real/images` and YOLO-format labels `real/labels`. Synthetic data can be generated on-demand with the scripts in this repo.
+- Classes: 0=empty_cell, 1=white_circle_cell, 2=black_cross_cell
+
+## License
+- Dataset: CC-BY-4.0
+- Real images contain no PII/portraits. Credit per README/model card.
+- Source code (generation, training, inference): https://github.com/guren-kaina/AMD_Robotics_Hackathon_2025_ProjectTemplate/tree/main/mission2/code/tic_tac_toe_overlay
+
+## Data contents
+- Resolution: depends on capture device (boards are typically centered).
+- Annotation: YOLO txt (class cx cy w h) normalized coords. Matching `.txt` lives in `real/labels`.
+- Synthetic data: generated via `main.py --num-train/--num-val` (noise/contrast changes/distractors included) into `data/synth_grid/`.
+- Parquet export: `dataset.parquet` (generated by `make hf-dataset-stage`) with columns: image, label_file, class_id, cx, cy, w, h. One row per bbox; empty label files produce a single row with null class/coords.
+
+## Suggested splits
+- Real images are limited; mix synthetic:real around 8:2 and hold out val/test separately.
+
+## Notes and care
+- Optimized for top-down view; for oblique viewpoints or different board designs, re-label and retrain.
+- For new token designs or colors, add annotations and retrain.
+
+## Usage example
+```bash
+python main.py --real-data real --num-train 1000 --num-val 200 --force-train
+```

dataset.parquet

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+size 5837