Datasets:
ArXiv:
License:
philipphager
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85b1f64
Update README.md
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README.md
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@@ -65,8 +65,8 @@ Each row of the click / annotation dataset contains the following attributes. Us
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| serp_height | Tensor[int32] | Pixel height of a document on the screen |
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| slipoff_count_after_click | Tensor[int32] | Number of times a document was scrolled off the screen after previously clicking on it |
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| bm25 | Tensor[float32] | BM25 score for documents |
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| tf_idf | Tensor[float32] | TF-IDF score for documents |
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| tf | Tensor[float32] | Term frequency for documents |
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| idf | Tensor[float32] | Inverse document frequency for documents |
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@@ -94,8 +94,8 @@ Each row of the click / annotation dataset contains the following attributes. Us
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| query_document_embedding | Tensor[Tensor[float16]] | BERT CLS token |
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| label | Tensor[int32] | Relevance judgments on a scale from 0 (bad) to 4 (excellent) |
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| bm25 | Tensor[float32] | BM25 score for documents |
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| tf_idf | Tensor[float32] | TF-IDF score for documents |
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| tf | Tensor[float32] | Term frequency for documents |
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| idf | Tensor[float32] | Inverse document frequency for documents |
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| serp_height | Tensor[int32] | Pixel height of a document on the screen |
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| slipoff_count_after_click | Tensor[int32] | Number of times a document was scrolled off the screen after previously clicking on it |
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| bm25 | Tensor[float32] | BM25 score for documents |
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| bm25_title | Tensor[float32] | BM25 score for document titles |
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| bm25_abstract | Tensor[float32] | BM25 score for document abstracts |
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| tf_idf | Tensor[float32] | TF-IDF score for documents |
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| tf | Tensor[float32] | Term frequency for documents |
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| idf | Tensor[float32] | Inverse document frequency for documents |
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| query_document_embedding | Tensor[Tensor[float16]] | BERT CLS token |
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| label | Tensor[int32] | Relevance judgments on a scale from 0 (bad) to 4 (excellent) |
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| bm25 | Tensor[float32] | BM25 score for documents |
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| bm25_title | Tensor[float32] | BM25 score for document titles |
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| bm25_abstract | Tensor[float32] | BM25 score for document abstracts |
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| tf_idf | Tensor[float32] | TF-IDF score for documents |
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| tf | Tensor[float32] | Term frequency for documents |
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| idf | Tensor[float32] | Inverse document frequency for documents |
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