Add dataset card

README.md

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+---
+language:
+- en
+tags:
+- video-generation
+- image-to-video
+- visual-reasoning
+- reinforcement-learning
+pretty_name: VBVR-Pro-RL
+size_categories:
+- 10K<n<100K
+---
+
+# VBVR-Pro-RL
+
+<p align="center">
+    <a href="https://huggingface.co/datasets/Video-Reason/VBVR-Pro-Bench" target="_blank">
+        <img alt="VBVR-Pro-Bench" src="https://img.shields.io/badge/%F0%9F%A4%97%20_VBVR_Pro_Bench-Benchmark-ffc107?color=ffc107&logoColor=white" height="20" />
+    </a>
+    <a href="https://huggingface.co/datasets/Video-Reason/VBVR-Pro-SFT-Video" target="_blank">
+        <img alt="VBVR-Pro-SFT-Video" src="https://img.shields.io/badge/%F0%9F%A4%97%20_VBVR_Pro_SFT-Video-ffc107?color=ffc107&logoColor=white" height="20" />
+    </a>
+    <a href="https://huggingface.co/datasets/Video-Reason/VBVR-Pro-SFT-Image" target="_blank">
+        <img alt="VBVR-Pro-SFT-Image" src="https://img.shields.io/badge/%F0%9F%A4%97%20_VBVR_Pro_SFT-Image-ffc107?color=ffc107&logoColor=white" height="20" />
+    </a>
+    <a href="https://github.com/Video-Reason/VBVR-Pro-Bench" target="_blank">
+        <img alt="Scorer" src="https://img.shields.io/badge/Scorer-VBVR_Pro_Bench-100000?style=flat-square&logo=github&logoColor=white" height="20" />
+    </a>
+    <a href="LICENSE">
+        <img alt="License" src="https://img.shields.io/badge/License-Apache_2.0-blue.svg" height="20" />
+    </a>
+</p>
+
+
+The **reinforcement-learning split** of VBVR-Pro: 50 parameterized tasks × 1,000 instances, held out from the SFT splits, in both a video (TI2V) and an interleaved-image setting.
+
+
+## At a glance
+
+| Property | Value |
+|---|---|
+| Tasks | **50** |
+| Instances per task | **1,000** |
+| Total instances | **50,000** per setting |
+| Archives | 50 video + 50 image tar.gz |
+| Total size | **10.9 GB** (video 9.7 + image 1.2) |
+| Resolution | **1024 × 1024**, as generated |
+| Video | 16 fps, MPEG-4 Part 2, no re-encode |
+
+## Layout
+
+```
+.
+├── VBVR-Pro-RL-Video/
+│   ├── G-131_select_next_figure_increasing_size_sequence_data-generator.tar.gz
+│   └── …                                                     # 50 archives
+├── VBVR-Pro-RL-Image/
+│   ├── G-131_select_next_figure_increasing_size_sequence_data-generator.tar.gz
+│   └── …                                                     # 50 archives
+├── video_jsonl/                                              # 50 files
+├── image_jsonl/                                              # 50 files
+├── meta_video_rl.json
+└── meta_image_rl.json
+```
+
+An archive under `VBVR-Pro-RL-Video/` extracts to:
+
+```
+G-131_select_next_figure_increasing_size_sequence_data-generator/        # task
+└── select_next_figure_increasing_size_sequence_task/                    # subtask
+    ├── select_next_figure_increasing_size_sequence_00005005/            # sample
+    │   ├── first_frame.png          # conditioning image  (1024 × 1024)
+    │   ├── metadata.json            # task parameters, ground truth, scoring contract
+    │   └── video/
+    │       ├── prompt.txt           # instruction
+    │       ├── ground_truth.mp4     # reference video     (16 fps, MPEG-4 Part 2)
+    │       └── final_frame.png      # last frame of the reference video
+    ├── select_next_figure_increasing_size_sequence_00005006/            # same files
+    ├── …
+    └── select_next_figure_increasing_size_sequence_00006004/            # 1,000 samples per task
+```
+
+The matching archive under `VBVR-Pro-RL-Image/` has the same task, subtask and
+sample names, with the reference output as an image sequence instead:
+
+```
+G-131_select_next_figure_increasing_size_sequence_data-generator/
+└── select_next_figure_increasing_size_sequence_task/
+    ├── select_next_figure_increasing_size_sequence_00005005/
+    │   ├── first_frame.png          # conditioning image  (1024 × 1024)
+    │   ├── metadata.json            # task parameters, ground truth, scoring contract
+    │   └── image/
+    │       ├── prompt.txt           # instruction
+    │       ├── frame_1.png          # reference output, step 1
+    │       └── …                    # up to frame_N.png
+    ├── select_next_figure_increasing_size_sequence_00005006/
+    ├── …
+    └── select_next_figure_increasing_size_sequence_00006004/
+```
+
+## Usage
+
+```bash
+huggingface-cli download Video-Reason/VBVR-Pro-RL --repo-type dataset --local-dir ./rl
+mkdir -p rl-data && for f in ./rl/VBVR-Pro-RL-Video/*.tar.gz; do tar xzf "$f" -C rl-data; done
+```
+
+### Index files
+
+`meta_video_rl.json` and `meta_image_rl.json` map every task to its jsonl under
+`video_jsonl/` and `image_jsonl/`. `root` is the directory the archives were
+extracted into and `length` is that task's row count (1,000 throughout).
+
+Video rows carry `sample_id`, `first_frame`, `metadata`, `clip_path`,
+`final_frame` and `prompt`, every path relative to `root` — the same schema as
+[VBVR-Pro-SFT-Video](https://huggingface.co/datasets/Video-Reason/VBVR-Pro-SFT-Video).
+Image rows carry `id`, `image`, `conversations` and `annotation_steps`, matching
+[VBVR-Pro-SFT-Image](https://huggingface.co/datasets/Video-Reason/VBVR-Pro-SFT-Image).