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@@ -61,10 +61,10 @@ These steps were done by the Hugging Face team.
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  ## Dataset Structure
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  Each example in the dataset contains pairs of query and answer sentences and is formatted as a dictionary:
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  ```
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- {"query": [sentence_1], "pos": [answer]}
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- {"query": [sentence_1], "pos": [answer]}
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  ...
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- {"query": [sentence_1], "pos": [answer]}
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  ```
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  This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar sentences.
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  ### Usage Example
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  ## Dataset Structure
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  Each example in the dataset contains pairs of query and answer sentences and is formatted as a dictionary:
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  ```
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+ {"query": [sentence_1], "pos": [sentence_2]}
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+ {"query": [sentence_1], "pos": [sentence_2]}
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  ...
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+ {"query": [sentence_1], "pos": [sentence_2]}
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  ```
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  This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar sentences.
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  ### Usage Example