Drop the Refiner link from the callout

README.md

@@ -27,7 +27,7 @@ configs:
 
 # WGO-Bench: What's Going On Benchmark
 
-> **Read the write-up:** [Segmenting Robot Video into Actionable Subtasks](https://macrodata.co/blog/annotating-robot-video-subtasks?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=wgo-bench) covers how WGO-Bench was built, the 60+ annotation pipeline experiments we ran on it, and what worked. Code: [macrodata-labs/refiner](https://github.com/macrodata-labs/refiner).
+> **Read the write-up:** [Segmenting Robot Video into Actionable Subtasks](https://macrodata.co/blog/annotating-robot-video-subtasks?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=wgo-bench) covers how WGO-Bench was built, the 60+ annotation pipeline experiments we ran on it, and what worked.
 
 WGO-Bench is a small, manually annotated benchmark for evaluating how well vision-language models can turn robot and egocentric manipulation videos into timestamped subtask annotations.