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PIXIE-Splade-Preview

Feature Extraction
sentence-transformers
Safetensors
modernbert
sentence-similarity
sparse-encoder
sparse
splade
telepix
text-embeddings-inference
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@@ -79,10 +79,10 @@ Descriptions of the benchmark datasets used for evaluation are as follows:
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  #### Sparse Embedding
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  | Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |
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  |------|:---:|:---:|:---:|:---:|:---:|:---:|
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- | telepix/PIXIE-Splade-Preview | Sparse(0.1B) | 0.6677 | 0.6238 | 0.6628 | 0.6831 | 0.7009 |
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- | [BM25](https://github.com/xhluca/bm25s) | Sparse | 0.4251 | 0.3798 | 0.4238 | 0.4400 | 0.4566 |
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- | naver/splade-v3 | Sparse(0.1B) | 0.0587 | 0.0468 | 0.0568 | 0.0620 | 0.0690 |
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  #### Dense Embedding
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  | Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |
 
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  #### Sparse Embedding
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  | Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |
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  |------|:---:|:---:|:---:|:---:|:---:|:---:|
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+ | telepix/PIXIE-Splade-Preview | 0.1B | 0.6677 | 0.6238 | 0.6628 | 0.6831 | 0.7009 |
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  | | | | | | | |
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+ | [BM25](https://github.com/xhluca/bm25s) | N/A | 0.4251 | 0.3798 | 0.4238 | 0.4400 | 0.4566 |
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+ | naver/splade-v3 | 0.1B | 0.0587 | 0.0468 | 0.0568 | 0.0620 | 0.0690 |
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  #### Dense Embedding
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  | Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |