Link paper and update task category to other

README.md

@@ -1,19 +1,23 @@
 ---
 license: mit
 task_categories:
-  - text-generation
-tags:
-  - llm-serving
-  - streaming-inference
-  - vllm
-  - systems
+- other
 pretty_name: Stream2LLM Data
+tags:
+- llm-serving
+- streaming-inference
+- vllm
+- systems
 viewer: false
 ---
 
 # Stream2LLM Dataset
 
-Dataset for the paper: *Stream2LLM: Overlap Context Streaming and Prefill for Reduced Time-to-First-Token* (MLSys 2026 artifact evaluation). Contains workload traces, experiment run logs, and performance model measurements used to produce all figures, tables, and inline numbers in the paper.
+Dataset for the paper: [Stream2LLM: Overlap Context Streaming and Prefill for Reduced Time-to-First-Token (TTFT)](https://huggingface.co/papers/2604.16395) (MLSys 2026 artifact evaluation).
+
+GitHub Repository: [https://github.com/rajveerb/stream2llm/](https://github.com/rajveerb/stream2llm/)
+
+Contains workload traces, experiment run logs, and performance model measurements used to produce all figures, tables, and inline numbers in the paper.
 
 This repository is a git submodule of the main [Stream2LLM artifact](https://github.com/rajveerb/stream2llm/tree/mlsys_artifact) (branch: `mlsys_artifact`). Data files are stored with Git LFS on HuggingFace. To fetch everything:
 
@@ -149,4 +153,4 @@ The `run_metrics.csv` file logs timestamped events for each experiment run:
 
 The ANNS corpus is stored as sharded JSON files (`retrieved_corpus_content.*.json` and `retrieved_corpus_content.part.*.json`). Each file maps document IDs to their text content, used for constructing input sequences from ANNS retrieval results.
 
-The `query_trace_map_5k.json` file maps query IDs to their corresponding pipeline trace filenames and query text.
+The `query_trace_map_5k.json` file maps query IDs to their corresponding pipeline trace filenames and query text.