MichielBuisman/Leesplank-vloeiend-nl-curriculum-cp2
Leesplank NL — Embeddings & Clusters (Checkpoint 2) 5.39 million Dutch texts, each annotated with a 384-dimensional semantic embedding, a K-means cluster assignment, and — for a stratified sample of ~100,800 rows — a measured BF16 perplexity score from IBM Granite 4.0 Micro (3B Dense). This checkpoint is the analytical core of a project with two concrete goals: running high-quality Dutch language processing on consumer hardware, and doing it in a way that is transparent enough… See the full description on the dataset page: https://huggingface.co/datasets/MichielBuisman/Leesplank-vloeiend-nl-cu
| Author / organization | MichielBuisman |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 151 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 8 March 2026 |
| Last updated at source | 12 March 2026 |
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- 16 Oct 2026 Description: Leesplank NL — Embeddings & Clusters (Checkpoint 2) 5.39 million Dutch texts, each annotated with a 384-dimensional semantic embedding, a K-means cluster assignment, and — for a stratified sample of ~100,800 rows — a measured BF16 perplexit → Leesplank NL — Embeddings & Clusters (Checkpoint 2) 5.39 million Dutch texts, each annotated with a 384-dimensional semantic embedding, a K-means cluster assignment, and — for a stratified sample of ~100,800 rows — a measured BF16 perplexit
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