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llm:8c5f5eda457bc1b4e9c284cb522c07dcfb6acd7aae9d0f99202fa667a6fddb19
Edit
{
"action": "final",
"content": "## Geographic Distribution\n\nYes, this dataset has a geographic dimension through the **Country (of organization)** field, which indicates where the organizations behind these AI benchmarks are based.\n\n### Distribution Across Locations\n\nThe data shows a **strong concentration in two countries**:\n\n- **United States of America**: 998 benchmarks (76.13%) — more than three-quarters of all entries\n- **China**: 271 benchmarks (20.67%) — about one-fifth of entries\n- **France**: 41 benchmarks (3.13%) — a distant third\n- **China, United States of America** (joint): 1 benchmark (0.08%)\n\nTogether, the US and China account for **96.8% of all benchmarks** in this dataset, indicating that AI model development and benchmarking is heavily dominated by organizations in these two countries. France is the only other country with notable representation, though at less than 4% of the total.\n\nThis geographic concentration reflects the current landscape of AI research and development, where American and Chinese organizations are the primary contributors to benchmark datasets.",
"charts": [
{
"kind": "bar",
"x": "country",
"series": [
"count"
],
"title": "Benchmarks by Country"
}
]
}