Spaces:
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Update README.md
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README.md
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Our goal: make LAM datasets more discoverable and usable to support researchers, institutions, and ML practitioners working with cultural heritage data.
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</details>
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<details>
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<summary><strong>📂 What You'll Find</strong></summary>
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- **Spaces**: tools for interactive exploration and demonstration
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</details>
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<details>
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<summary><strong>🧩 Get Involved</strong></summary>
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- Share your work using BigLAM resources
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</details>
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## 🌍 Why It Matters
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Cultural heritage data is often underrepresented in machine learning. BigLAM helps address this by:
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- Ensuring that ML systems reflect diverse human knowledge and expression
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- Developing tools and methods that work well with the unique formats, values, and needs of LAMs
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*Empowering AI with the richness of human culture.*
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Our goal: make LAM datasets more discoverable and usable to support researchers, institutions, and ML practitioners working with cultural heritage data.
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</details>
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<details>
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<summary><strong>📂 What You'll Find</strong></summary>
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- **Spaces**: tools for interactive exploration and demonstration
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</details>
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<details>
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<summary><strong>🧩 Get Involved</strong></summary>
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- Share your work using BigLAM resources
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</details>
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## 🌍 Why It Matters
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Cultural heritage data is often underrepresented in machine learning. BigLAM helps address this by:
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- Ensuring that ML systems reflect diverse human knowledge and expression
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- Developing tools and methods that work well with the unique formats, values, and needs of LAMs
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