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dataset.json

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+{
+  "metadata": {
+    "topic": "Google Research",
+    "language": "English"
+  },
+  "extracted_facts": [
+    "Science One Framework: A verifiable autonomous research framework via Chain-of-Evidence",
+    "SymptomAI: Towards a conversational AI agent for everyday symptom assessment",
+    "Towards a quantum computer that learns from its errors",
+    "Towards demystifying the creativity of diffusion models",
+    "SensorFM: Towards a general intelligence and interface for wearable health data",
+    "The power of collaboration: How we can reduce traffic congestion",
+    "Expanding our Heat Resilience data to 50+ global cities",
+    "Introducing TabFM: A zero-shot foundation model for tabular data",
+    "Accelerating Gemini Nano models on Pixel with frozen Multi-Token Prediction",
+    "Optimizing cloud economics with linear elastic caching",
+    "Thinking to recall: How reasoning unlocks parametric knowledge in LLMs",
+    "From pixels to planning: Earth AI for nature restoration"
+  ],
+  "cleaning_rationale": "This data is valuable for AI training due to its relevance to various research topics.",
+  "quality_score": 0.95
+}