Upload prompt template grounding_accuracy_response_level.yaml

grounding_accuracy_response_level.yaml

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+prompt:
+  template: "Your task is to check if the Response is accurate to the Evidence.\nGenerate 'Accurate' if the Response is accurate
+    when verified according to the Evidence, or 'Inaccurate' if the Response is inaccurate (contradicts the evidence) or cannot
+    be verified.\n\n**Query**:\n\n{{user_request}}\n\n**End of Query**\n\n**Evidence**\n\n{{context_document}}\n\n**End of
+    Evidence**\n\n**Response**:\n\n{{response}}\n\n**End of Response**\n\nLet's think step-by-step."
+  template_variables:
+    - user_request
+    - context_document
+    - response
+  metadata:
+    description: "An evaluation prompt from the paper 'The FACTS Grounding Leaderboard: Benchmarking LLMs’ Ability to Ground
+      Responses to Long-Form Input' by Google DeepMind.\n    The prompt was copied from the evaluation_prompts.csv file from
+      Kaggle.\n    This specific prompt elicits a binary accurate/inaccurate classifier for the entire response."
+    evaluation_method: response_level
+    tags:
+      - fact-checking
+    version: 1.0.0
+    author: Google DeepMind
+    source: https://www.kaggle.com/datasets/deepmind/FACTS-grounding-examples?resource=download&select=evaluation_prompts.csv
+  client_parameters: {}
+  custom_data: {}