Update README.md

README.md

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 ## Soft-digits Dataset
-This dataset is a combination of a
+The soft-digits dataset is released under the CC-BY-SA 4.0 license. This dataset is a combination of a
 
 - re-annotated subset of the [MNIST](http://yann.lecun.com/exdb/mnist/) dataset, originally created by Yann LeCun and Corinna Cortes. (released under CC-BY-SA 3.0)
 - re-annotated subset of the [distributional Ambiguous-MNIST](https://github.com/omegafragger/DDU) dataset, originally created by Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H.S. Torr, and Yarin Gal. (released under MIT license) 
 
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+### Dataset Field Descriptions
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+*   **images** (list of size `[1, 28, 28]`): List representing the grayscale image.
+*   **original_labels** (list): The original label associated with the source data.
+*   **indices** (int64): The indices for each data instance.
+*   **file_name** (string): The specific file name (e.g., `1.png`).
+*   **human_uncert_mean** (double): The "mean uncertainty" ($u_{mean}$): the average magnitude of doubt across all annotators for an image.
+*   **pct_ann_unsure** (double): The "unsure proportion" ($u_{prop}$): the fraction of annotators who expressed uncertainty at least once for a given image, capturing the consensus of doubt.
+*   **soft_label_yes_unc_equal** (list of floats): Equally-weighted soft-labels ($soft_e$). Both "Yes" and "Unsure" selections receive a weight of 1 to form each annotator’s individual probability distribution. These individual distributions are then averaged to create the final image-level soft-label.   
+*   **soft_label** (list of floats): Uncertainty-weighted soft-labels ($soft_w$). "Unsure" selections are down-weighted to 0.5 at the annotator level to reflect a lower class-likelihood, while "Yes" remains 1, before averaging the distributions.
+*   **soft_label_argmax** (list of floats): New majority voted labels ($maj_n$). A one-hot encoded label representing the class that received the highest consensus from the human annotators, derived directly from the soft-label distributions.
+*   **split** (string): The dataset split, either "train", "val", or "test".
+*   **source** (string): The origin source, either "mnist" or "mukhoti".
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