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  ---
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- language: "en" # Example: en
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- license: "apache-2.0" #"cc-by-4.0" # Example: apache-2.0 or any license from https://hf.co/docs/hub/repositories-licenses
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- library_name: "transformers" # Optional. Example: keras or any library from https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Libraries.ts
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  This is the Digital Socrates 13B (DS-13B) model described in our paper: <b>Digital Socrates: Evaluating LLMs through explanation critiques</b> (arXiv link: https://arxiv.org/abs/2311.09613).
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  # More details about Digital Socrates ...
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  For more details about Digital Socrates, please refer to our:
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  * 📄Paper: https://arxiv.org/abs/2311.09613
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- * 💻Dataset: https://allenai.org/data/digital-socrates
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language: en
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+ license: apache-2.0
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+ library_name: transformers
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+ model-index:
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+ - name: digital-socrates-13b
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ value: 58.36
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ value: 80.14
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU (5-Shot)
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+ type: cais/mmlu
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+ config: all
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 57.01
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 44.47
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: Winogrande (5-shot)
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+ type: winogrande
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+ config: winogrande_xl
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+ split: validation
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 74.59
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: GSM8k (5-shot)
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+ type: gsm8k
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+ config: main
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 29.49
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
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+ name: Open LLM Leaderboard
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  ---
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  This is the Digital Socrates 13B (DS-13B) model described in our paper: <b>Digital Socrates: Evaluating LLMs through explanation critiques</b> (arXiv link: https://arxiv.org/abs/2311.09613).
 
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  # More details about Digital Socrates ...
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  For more details about Digital Socrates, please refer to our:
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  * 📄Paper: https://arxiv.org/abs/2311.09613
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+ * 💻Dataset: https://allenai.org/data/digital-socrates
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_allenai__digital-socrates-13b)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |57.34|
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+ |AI2 Reasoning Challenge (25-Shot)|58.36|
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+ |HellaSwag (10-Shot) |80.14|
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+ |MMLU (5-Shot) |57.01|
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+ |TruthfulQA (0-shot) |44.47|
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+ |Winogrande (5-shot) |74.59|
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+ |GSM8k (5-shot) |29.49|
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+