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llm:d2a057a59a02df0c794ddb249db9ddf3349105f011873e782c5c6765a8c02563
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"
}
]
}