nielsr HF Staff commited on
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Add link to paper and project page

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This PR adds links to the paper and the project page to the dataset card for better discoverability and provenance.

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  1. README.md +17 -14
README.md CHANGED
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  ---
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- license:
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- - odc-by
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- - cc-by-nc-4.0
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  language:
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- - en
 
 
 
 
 
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  task_categories:
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- - text-generation
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- tags:
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- - safety
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- - data-attribution
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- - data-filtering
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- - gradient-embeddings
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- - tulu
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- - sft
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  pretty_name: SafeTulu
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- size_categories:
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- - 100K<n<1M
 
 
 
 
 
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  configs:
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  - config_name: safe_tulu
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  default: true
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  > ⚠️ **Content warning:** `saferlhf_with_metadata` contains harmful requests and harmful responses taken from PKU-SafeRLHF
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  SafeTulu is a version of the [Tulu 3 SFT mixture](https://huggingface.co/datasets/allenai/tulu-3-sft-mixture) with the examples most likely to harm a model's safety removed. Each Tulu 3 example is scored by how close its training gradient is to the gradients of harmful [PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF) examples, and the highest-scoring examples are removed.
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  Along with the filtered dataset, we release the gradient embedding of every Tulu 3 and SafeRLHF example and the score of every Tulu 3 example. This lets you build your own version of SafeTulu. Some customization examples: keeping and filtering only non-English data, removing only 10% of the data, etc.
 
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  ---
 
 
 
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  language:
3
+ - en
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+ license:
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+ - odc-by
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+ - cc-by-nc-4.0
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+ size_categories:
8
+ - 100K<n<1M
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  task_categories:
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+ - text-generation
 
 
 
 
 
 
 
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  pretty_name: SafeTulu
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+ tags:
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+ - safety
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+ - data-attribution
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+ - data-filtering
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+ - gradient-embeddings
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+ - tulu
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+ - sft
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  configs:
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  - config_name: safe_tulu
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  default: true
 
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  > ⚠️ **Content warning:** `saferlhf_with_metadata` contains harmful requests and harmful responses taken from PKU-SafeRLHF
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+ **Paper:** [Follow the Gradient: Tracing Safety Degradation Back to Training Data](https://huggingface.co/papers/2610.37481)
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+ **Project page:** [DatologyAI blog](https://www.datologyai.com/blog/follow-the-gradient)
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+
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  SafeTulu is a version of the [Tulu 3 SFT mixture](https://huggingface.co/datasets/allenai/tulu-3-sft-mixture) with the examples most likely to harm a model's safety removed. Each Tulu 3 example is scored by how close its training gradient is to the gradients of harmful [PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF) examples, and the highest-scoring examples are removed.
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  Along with the filtered dataset, we release the gradient embedding of every Tulu 3 and SafeRLHF example and the score of every Tulu 3 example. This lets you build your own version of SafeTulu. Some customization examples: keeping and filtering only non-English data, removing only 10% of the data, etc.