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pandas
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lxucs nielsr HF Staff commited on
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Add link to Github repository (#2)

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- Add link to Github repository (463d088a421ac2b6cf3cf7a6debcebf36f57ba3e)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +13 -15
README.md CHANGED
@@ -1,23 +1,23 @@
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  ---
 
 
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  license: apache-2.0
 
 
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  task_categories:
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  - text-retrieval
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- language:
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- - zh
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  tags:
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  - text
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  - retrieval
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- size_categories:
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- - 1K<n<10K
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  configs:
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- - config_name: passages
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- data_files:
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- - split: test
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- path: passages/test*
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- - config_name: queries
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- data_files:
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- - split: test
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- path: queries/test*
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  ---
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  The dataset **CapRetrieval** introduced in the EMNLP 2025 Finding paper: [[Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings](https://arxiv.org/abs/2506.08592)].
@@ -42,7 +42,6 @@ A small amount of queries do not have any relevant captions; they are excluded i
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  Please see the evaluation script and results at https://github.com/lxucs/CapRetrieval.
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-
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  | Type | Model | nDCG@10 |
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  |----------|-------------------------|-----------|
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  | **BM25** | Basic BM25 | 66.54 |
@@ -77,5 +76,4 @@ The trained models (based on `bge-base-zh-v1.5`) are trained with queries by our
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  address = "Suzhou, China",
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  publisher = "Association for Computational Linguistics"
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  }
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- ```
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-
 
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  ---
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+ language:
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+ - zh
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  license: apache-2.0
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+ size_categories:
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+ - 1K<n<10K
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  task_categories:
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  - text-retrieval
 
 
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  tags:
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  - text
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  - retrieval
 
 
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  configs:
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+ - config_name: passages
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+ data_files:
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+ - split: test
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+ path: passages/test*
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+ - config_name: queries
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+ data_files:
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+ - split: test
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+ path: queries/test*
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  ---
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  The dataset **CapRetrieval** introduced in the EMNLP 2025 Finding paper: [[Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings](https://arxiv.org/abs/2506.08592)].
 
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  Please see the evaluation script and results at https://github.com/lxucs/CapRetrieval.
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  | Type | Model | nDCG@10 |
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  |----------|-------------------------|-----------|
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  | **BM25** | Basic BM25 | 66.54 |
 
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  address = "Suzhou, China",
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  publisher = "Association for Computational Linguistics"
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  }
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+ ```