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Add github link

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  1. src/about.py +3 -1
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@@ -111,7 +111,9 @@ TITLE = """<h1 align="center" id="space-title"> It's TIME</h1>"""
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  # What does your leaderboard evaluate?
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  INTRODUCTION_TEXT = """
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- TIME introduces a unified benchmark for time series probabilistic forecasting that supports evaluation at **multiple granularities**, ranging from overall performance across datasets to dataset-level, variate-level, and even individual test windows (with visualization). Beyond conventional analysis, the benchmark enables **pattern-driven, cross-dataset benchmarking** by grouping variates with similar temporal features, where patterns are defined based on groups of tsfeatures that capture properties such as trend, seasonality, and stationarity, offering a more systematic understanding of model behavior. For data and results, please refer to 🤗 [dataset](https://huggingface.co/datasets/TIME-benchmark/TIME-1.0/tree/main).
 
 
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  """
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  # An integrated archive further enriches the platform by providing structural tsfeatures and statistical descriptors of all variates,
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  # ensuring both comprehensive evaluation and transparent interpretability across diverse forecasting scenarios
 
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  # What does your leaderboard evaluate?
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  INTRODUCTION_TEXT = """
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+ TIME introduces a unified benchmark for time series probabilistic forecasting that supports evaluation at **multiple granularities**, ranging from overall performance across datasets to dataset-level, variate-level, and even individual test windows (with visualization). Beyond conventional analysis, the benchmark enables **pattern-driven, cross-dataset benchmarking** by grouping variates with similar temporal features, where patterns are defined based on groups of tsfeatures that capture properties such as trend, seasonality, and stationarity, offering a more systematic understanding of model behavior.
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+ For data and results, please refer to 🤗 [dataset](https://huggingface.co/datasets/TIME-benchmark/TIME-1.0/tree/main).
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+ For result submissions, please refer to our [Github repo](https://github.com/zqiao11/TIME/tree/main).
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  """
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  # An integrated archive further enriches the platform by providing structural tsfeatures and statistical descriptors of all variates,
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  # ensuring both comprehensive evaluation and transparent interpretability across diverse forecasting scenarios