image
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28
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label
class label
10 classes
embedding_foundation
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embedding_ft
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outlier_score_ft
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outlier_score_foundation
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nn_image
dict
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Dataset Card for "mnist-outlier"

📚 This dataset is an enriched version of the MNIST Dataset.

The workflow is described in the medium article: Changes of Embeddings during Fine-Tuning of Transformers.

Explore the Dataset

The open source data curation tool Renumics Spotlight allows you to explorer this dataset. You can find a Hugging Face Space running Spotlight with this dataset here: https://huggingface.co/spaces/renumics/mnist-outlier. Analyze with Spotlight

Or you can explorer it locally:

!pip install renumics-spotlight datasets
from renumics import spotlight
import datasets

ds = datasets.load_dataset("renumics/mnist-outlier", split="train")
df = ds.rename_columns({"label":"labels"}).to_pandas()
df["label_str"] = df["labels"].apply(lambda x: ds.features["label"].int2str(x))
dtypes = {
    "nn_image": spotlight.Image,
    "image": spotlight.Image,
    "embedding_ft": spotlight.Embedding,
    "embedding_foundation": spotlight.Embedding,
}
spotlight.show(
    df,
    dtype=dtypes,
    layout="https://spotlight.renumics.com/resources/layout_pre_post_ft.json",
)
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