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@@ -70,7 +70,7 @@ In our recent research on [Instruction-Pretrain](https://huggingface.co/instruct
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  ### Pre-templatized Testing Splits
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  To easily reproduce our prompting results, we have uploaded the filled-in zero/few-shot input instructions and output completions of the test each domain-specific task: [biomedicine-tasks](https://huggingface.co/datasets/AdaptLLM/medicine-tasks), [finance-tasks](https://huggingface.co/datasets/AdaptLLM/finance-tasks), and [law-tasks](https://huggingface.co/datasets/AdaptLLM/law-tasks).
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- **Note:** those filled-in instructions are specifically tailored for models before alignment and do NOT fit for the specific data format required for chat models.
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  ### Evaluating Any Huggingface LMs on Domain-Specific Tasks (💡New!)
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  You can use the following scripts to reproduce our results and evaluate any other Huggingface models on the testing splits:
@@ -110,7 +110,10 @@ You can use the following scripts to reproduce our results and evaluate any othe
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  ```
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  ### Raw Datasets
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- We have also uploaded the [raw training and testing splits](https://huggingface.co/datasets/AdaptLLM/ConvFinQA), for facilitating fine-tuning or other usages.
 
 
 
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  ## Citation
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  If you find our work helpful, please cite us:
 
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  ### Pre-templatized Testing Splits
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  To easily reproduce our prompting results, we have uploaded the filled-in zero/few-shot input instructions and output completions of the test each domain-specific task: [biomedicine-tasks](https://huggingface.co/datasets/AdaptLLM/medicine-tasks), [finance-tasks](https://huggingface.co/datasets/AdaptLLM/finance-tasks), and [law-tasks](https://huggingface.co/datasets/AdaptLLM/law-tasks).
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+ Note: those filled-in instructions are specifically tailored for models before alignment and do NOT fit for the specific data format required for chat models.
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  ### Evaluating Any Huggingface LMs on Domain-Specific Tasks (💡New!)
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  You can use the following scripts to reproduce our results and evaluate any other Huggingface models on the testing splits:
 
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  ```
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  ### Raw Datasets
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+ We have also uploaded the raw training and testing splits, for facilitating fine-tuning or other usages: [ChemProt](https://huggingface.co/datasets/AdaptLLM/ChemProt), [RCT](https://huggingface.co/datasets/AdaptLLM/RCT), [ConvFinQA](https://huggingface.co/datasets/AdaptLLM/ConvFinQA), [FiQA_SA](https://huggingface.co/datasets/AdaptLLM/FiQA_SA), [Headline](https://huggingface.co/datasets/AdaptLLM/Headline), [NER](https://huggingface.co/datasets/AdaptLLM/NER), [FPB](https://huggingface.co/datasets/AdaptLLM/FPB)
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+
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+ ### Domain Knowledge Probing
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+ Our pre-processed knowledge probing datasets are available at: [med_knowledge_prob](https://huggingface.co/datasets/AdaptLLM/med_knowledge_prob) and [law_knowledge_prob](https://huggingface.co/datasets/AdaptLLM/law_knowledge_prob)
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  ## Citation
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  If you find our work helpful, please cite us: