Add dataset card for SceneText50

This PR adds a dataset card for SceneText50, including the `object-detection` task category, relevant tags, and links to the paper and code repository. It also documents the dataset structure and annotation format, and provides download instructions from the GitHub README.

README.md

@@ -1,3 +1,56 @@
 ---
 license: apache-2.0
+task_categories:
+- object-detection
+tags:
+- scene-text
+- text-detection
+- video
+- multilingual
 ---
+
+# SceneText50
+
+SceneText50 is a diverse multilingual outdoor dataset introduced in the paper [Back-Tracking from Clarity: Self-Learning to See Text from Afar](https://huggingface.co/papers/2609.32477).
+
+It consists of 50 outdoor ego-centric videos (~840 clips) from 17 countries, with quadrilateral text annotations. The annotations are for **evaluation**; the self-learning pipeline introduced in the paper needs no manual labels for training.
+
+Code: https://github.com/trid2912/BackTrackingText
+
+## Dataset structure
+
+```text
+tracking_data/
+├── 01/ 02/ ... 50/                 # one folder per video
+│   ├── clip_10/                    # a clip = a short frame sequence
+│   │   ├── clip_10_0000.jpg
+│   │   ├── clip_10_0001.jpg
+│   │   └── ...
+│   ├── clip_10_0000.txt            # per-frame annotation (same basename as the frame)
+│   ├── clip_10_0001.txt
+│   └── ...
+```
+
+Each annotation line is one text instance:
+
+```text
+instance_id x1 y1 x2 y2 x3 y3 x4 y4
+```
+
+`instance_id` is the track ID (consistent across frames of a clip) and the four `(x, y)` pairs are the clockwise quadrilateral corners.
+
+## Sample usage
+
+Download from Hugging Face:
+
+```bash
+# option 1 — huggingface-cli
+pip install -U "huggingface_hub[cli]"
+huggingface-cli download Tri1/SceneText50 --repo-type dataset --local-dir data/tracking_data
+
+# option 2 — git + git-lfs
+git lfs install
+git clone https://huggingface.co/datasets/Tri1/SceneText50 data/tracking_data
+```
+
+Point `--image_root` at this `tracking_data` folder when running the tracker / pipeline.