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Update dataset availability note

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  SparseVideoNav studies real-world vision-language navigation with sparse future video generation. The datasets contain language instructions, RGB frame sequences, and low-level navigation actions. The number of actions matches the number of RGB frames for every released episode.
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- This repository version contains the processed IFN and BVN subsets. All RGB frames have been processed with EgoBlur for face and license-plate blurring. At the released sampling rate of **4 fps**, the current IFN+BVN release contains **121.74 hours** of navigation data.
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  | Subset | Episodes | RGB frames | Duration @ 4 fps | Task |
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  | --- | ---: | ---: | ---: | --- |
 
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  SparseVideoNav studies real-world vision-language navigation with sparse future video generation. The datasets contain language instructions, RGB frame sequences, and low-level navigation actions. The number of actions matches the number of RGB frames for every released episode.
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+ This repository version contains the processed IFN and BVN subsets used by SparseVideoNav. The complete dataset contains about 140 hours; due to regional policy restrictions, the currently open-sourced portion is approximately 121.74 hours.
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  | Subset | Episodes | RGB frames | Duration @ 4 fps | Task |
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  | --- | ---: | ---: | ---: | --- |