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Update README.md

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@@ -59,8 +59,8 @@ This dataset aims to develop effective solutions for detecting and mitigating th
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  | Name | Description | Link |
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  | ------------- | ------------- | ---------------------|
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- | ELSA1M_track1 | Dataset of 1M images generated using diffusion model | https://huggingface.co/datasets/rs9000/ELSA1M_track1 |
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- | ELSA500k_track2 | Dataset of 500k images generated using diffusion model with diffusion attentive attribution maps [1] | https://huggingface.co/datasets/rs9000/ELSA500k_track2 |
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  ```python
@@ -68,7 +68,7 @@ from daam import WordHeatMap
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  from datasets import load_dataset
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  import torch
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- elsa_data = load_dataset("rs9000/ELSA500k_track2", split="train", streaming=True)
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  for sample in elsa_data:
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  image = sample.pop("image")
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  metadata = sample
 
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  | Name | Description | Link |
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  | ------------- | ------------- | ---------------------|
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+ | ELSA1M_track1 | Dataset of 1M images generated using diffusion model | https://huggingface.co/datasets/elsaEU/ELSA1M_track1 |
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+ | ELSA500k_track2 | Dataset of 500k images generated using diffusion model with diffusion attentive attribution maps [1] | https://huggingface.co/datasets/elsaEU/ELSA500k_track2 |
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  ```python
 
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  from datasets import load_dataset
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  import torch
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+ elsa_data = load_dataset("elsaEU/ELSA500k_track2", split="train", streaming=True)
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  for sample in elsa_data:
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  image = sample.pop("image")
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  metadata = sample