Add link to paper and project page
Browse filesThis PR adds links to the paper and the project page to the dataset card for better discoverability and provenance.
README.md
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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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-
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task_categories:
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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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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:
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- 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:
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- 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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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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