Datasets:
Update README.md
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README.md
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@@ -104,6 +104,30 @@ The dataset is processed from the Mooncake [official repository](https://github.
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This is mainly for inferencing system benchmarking workload.
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## Dataset Card Authors and Contact
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- Jiacheng Li: jiacheng.li@epfl.ch
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This is mainly for inferencing system benchmarking workload.
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* `Timestamp`: The timestamp field indicates the relative arrival times of requests, ranging from 0 to 3,600,000, in milliseconds.
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* `Input & Output Length`: For privacy protection, our trace does not include actual text or tokens. Instead, it uses input_length and output_length, representing the number of input and output tokens, similar to Splitwise.
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* `Hash ID`: The hash_ids field describes prefix caching relationships. It is generated by hashing token blocks (with a block size of 512) into prefix hash values that include both the current and all preceding blocks. The resulting hash values are then mapped to globally unique IDs. Identical hash IDs indicate that a block of tokens, along with preceding tokens, are the same, thus allowing reuse within the corresponding
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KVCache. For example, in the provided samples, the first 12 hash IDs are identical, indicating they can share prefix caching for the first 12×512=6,144 tokens.
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```json
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[
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{
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'hash_ids': [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 2111, 2112],
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'input_length': 6955,
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'output_length': 52,
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'timestamp': 27000
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},
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{
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'hash_ids': [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 2124],
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'input_length': 6472,
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'output_length': 26,
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'timestamp': 30000
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}
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]
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```
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## Dataset Card Authors and Contact
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- Jiacheng Li: jiacheng.li@epfl.ch
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