Trim README

README.md

@@ -60,6 +60,7 @@ configs:
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 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.
 
 
@@ -133,18 +134,6 @@ huggingface-cli download Video-Reason/VBVR-Pro-RL --repo-type dataset --local-di
 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).
-
 ## License
 
 VBVR-Pro source code, scripts, configuration files and task-specific scoring