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Update README.md

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@@ -35,3 +35,7 @@ print("Model prediction: {0}".format(pred.outputs[0].text))
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  # Model prediction: [Retrieval] <paragraph> ... (this query requires factual grounding, call a retriever) </paragraph> [Relevant] 太和殿、中和殿、保和殿 [Utility:5] </s>
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  ```
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  # Model prediction: [Retrieval] <paragraph> ... (this query requires factual grounding, call a retriever) </paragraph> [Relevant] 太和殿、中和殿、保和殿 [Utility:5] </s>
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  ```
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+ ### Data
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+ The data used to train the model is also available ([FINAL_OUTPUT_4w.jsonl](https://huggingface.co/Aman/selfrag-zh_baichuan2_7b_chat/blob/main/FINAL_OUTPUT_4w.jsonl)), which is constructed using [Belle](https://github.com/LianjiaTech/BELLE/tree/main/data/1.5M) SFT data and Wikipedia Chinese docs.
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+ Hope you enjoy it!
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+