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dataset_info.json

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+{
+  "name": "kindness_responsibility_forgivingness_dataset",
+  "version": "1.0.0",
+  "description": "A text dataset designed to teach AI models about kindness, responsibility, and forgivingness through moral reasoning, examples, and language transformation tasks.",
+  "languages": ["en"],
+  "license": "CC-BY-4.0",
+  "num_samples": {
+    "kindness": 250,
+    "responsibility": 250,
+    "forgivingness": 250
+  },
+  "structure": {
+    "fields": ["instruction", "input", "output"],
+    "format": "JSONL"
+  },
+  "author": "MathAIOfficial",
+  "created": "2025-10-26"
+}

dataset_info.yaml

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+pretty_name: Kindness, Responsibility & Forgivingness Dataset
+language:
+  - en
+license: cc-by-4.0
+task_categories:
+  - text2text-generation
+  - instruction-following
+size_categories:
+  - n<1K
+source_datasets: []
+annotations_creators:
+  - human-authored
+  - synthetic-expansion
+dataset_info:
+  features:
+    - name: instruction
+      dtype: string
+    - name: input
+      dtype: string
+    - name: output
+      dtype: string
+  splits:
+    - name: kindness
+      num_examples: 250
+    - name: responsibility
+      num_examples: 250
+    - name: forgivingness
+      num_examples: 3000
+description: >
+  This dataset trains AI systems to express and reason about kindness, responsibility, and forgivingness.
+  It includes moral reasoning, behavior reflections, rewrites for tone improvement, and short examples for emotional intelligence tasks.
+homepage: https://huggingface.co/datasets/MathAIOfficial/Responsibility
+dataset_version: "1.0.0"

schema.json

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+{
+  "type": "object",
+  "properties": {
+    "instruction": {
+      "type": "string",
+      "description": "The prompt or directive for the model."
+    },
+    "input": {
+      "type": "string",
+      "description": "Optional supporting information or context for the instruction."
+    },
+    "output": {
+      "type": "string",
+      "description": "Expected or ideal response from the model."
+    }
+  },
+  "required": ["instruction", "output"]
+}