This PR significantly enhances the dataset card for the Hugging Face repository, transforming it into a comprehensive resource for users.
Key changes include:
- **Linking to the Paper:** The dataset is now explicitly linked to its associated paper, "[LoopServe: An Adaptive Dual-phase LLM Inference Acceleration System for Multi-Turn Dialogues](https://huggingface.co/papers/2507.13681)", ensuring proper attribution and context.
- **Updating `pretty_name`:** The `pretty_name` metadata has been updated from `MKV_Cache` to `LoopServe Multi-Turn Dialogue Benchmark` to accurately reflect the benchmark introduced in the paper, improving discoverability.
- **Expanding `configs` Metadata:** The `configs` metadata now accurately lists all available sub-datasets and splits, including `conversations.jsonl` and all `multi_turn` and `single_turn` categories (few-shot learning, needle-in-haystack, question-answering, summarization), making it easier for users to load specific parts of the bench…
