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@@ -91,6 +91,8 @@ citation: "@inproceedings{paheding2026mmlsv2,\n title={Mmlsv2: A multimodal dat
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  # MMLS v2: Multimodal Martian Landslide Dataset
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  This repository hosts a Hugging Face compatible, Parquet-formatted version of the **MMLS v2** dataset. It contains 128x128 multi-channel images for Martian landslide segmentation, featuring 7 data channels and 1 segmentation mask.
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  > **Disclaimer:** I am not the original creator of this dataset. I am hosting this pre-processed version to allow researchers to easily stream the multi-channel arrays directly into PyTorch training pipelines without dealing with manual TIFF decoding. All credit for data collection and the original paper belongs to the authors of MMLSv2. Please see the Citation section below.
 
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  # MMLS v2: Multimodal Martian Landslide Dataset
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/658b1ad65c6fb5d5e311d7a3/zsLLj1lvwaaWtgOuVEF2m.png)
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  This repository hosts a Hugging Face compatible, Parquet-formatted version of the **MMLS v2** dataset. It contains 128x128 multi-channel images for Martian landslide segmentation, featuring 7 data channels and 1 segmentation mask.
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  > **Disclaimer:** I am not the original creator of this dataset. I am hosting this pre-processed version to allow researchers to easily stream the multi-channel arrays directly into PyTorch training pipelines without dealing with manual TIFF decoding. All credit for data collection and the original paper belongs to the authors of MMLSv2. Please see the Citation section below.