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abhinav-joshi
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Commit
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6eae533
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Parent(s):
4e3a907
add meta data
Browse files- app.py +1 -1
- uploads.py +7 -0
app.py
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@@ -433,7 +433,7 @@ with demo:
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## Quick Links
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- [**Website**](https://exploration-lab.github.io/IL-TUR): The landing page for IL-TUR
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- [**arXiv Paper**](https://arxiv.org/
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- [**GitHub Repository**](https://github.com/exploration-lab/IL-TUR): Access the source code, fine-tuning scripts, and additional resources for the IL-TUR dataset.
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- [**Dataset on Hugging Face**](https://huggingface.co/datasets/Exploration-Lab/IL-TUR): Direct link to download the IL-TUR dataset.
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- [**Leaderboard on Hugging Face Spaces**](https://huggingface.co/spaces/Exploration-Lab/IL-TUR_leaderboard): Current rankings and submissions for the IL-TUR dataset challenges.
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## Quick Links
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- [**Website**](https://exploration-lab.github.io/IL-TUR): The landing page for IL-TUR
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- [**arXiv Paper**](https://arxiv.org/html/2407.05399v1): Detailed information about the IL-TUR dataset and its significance in unlearning tasks.
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- [**GitHub Repository**](https://github.com/exploration-lab/IL-TUR): Access the source code, fine-tuning scripts, and additional resources for the IL-TUR dataset.
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- [**Dataset on Hugging Face**](https://huggingface.co/datasets/Exploration-Lab/IL-TUR): Direct link to download the IL-TUR dataset.
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- [**Leaderboard on Hugging Face Spaces**](https://huggingface.co/spaces/Exploration-Lab/IL-TUR_leaderboard): Current rankings and submissions for the IL-TUR dataset challenges.
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uploads.py
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@@ -91,6 +91,13 @@ def add_new_eval(
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# Get evaluation scores
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submission = get_evaluation_scores(gold_data, submission_data)
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else:
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# Read submission directly if it's not in predictions format
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with open(path_to_file, "r") as f:
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# Get evaluation scores
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submission = get_evaluation_scores(gold_data, submission_data)
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# Add metadata
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submission["Method"] = method_name
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submission["Submitted By"] = submitted_by
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# submission["Organisation"] = organisation
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# submission["Email"] = mail
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submission["Github Link"] = url
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else:
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# Read submission directly if it's not in predictions format
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with open(path_to_file, "r") as f:
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