Update README.md

README.md

@@ -1,337 +1,421 @@
----
-license: mit
-dataset_info:
-- config_name: multi_turn_choice_eng
-  features:
-  - name: context
-    dtype: string
-  - name: multi_turns
-    list:
-    - name: answer
-      dtype: string
-    - name: input
-      dtype: string
-    - name: options
-      sequence: string
-  - name: id
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 46482955
-    num_examples: 58
-  download_size: 28590613
-  dataset_size: 46482955
-- config_name: multi_turn_kv
-  features:
-  - name: id
-    dtype: int64
-  - name: context
-    dtype: string
-  - name: multi_turns
-    list:
-    - name: answer
-      dtype: string
-    - name: input
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 20071200
-    num_examples: 100
-  download_size: 18278186
-  dataset_size: 20071200
-- config_name: multi_turn_many_shot
-  features:
-  - name: context
-    dtype: string
-  - name: multi_turns
-    list:
-    - name: answer
-      dtype: string
-    - name: input
-      dtype: string
-  - name: id
-    dtype: int64
-  - name: task
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 4734315
-    num_examples: 54
-  download_size: 99406
-  dataset_size: 4734315
-- config_name: multi_turn_mf
-  features:
-  - name: id
-    dtype: int64
-  - name: context
-    sequence: int64
-  - name: multi_turns
-    list:
-    - name: answer
-      dtype: int64
-    - name: input
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 24065100
-    num_examples: 100
-  download_size: 3766479
-  dataset_size: 24065100
-- config_name: multi_turn_prefix_suffix
-  features:
-  - name: context
-    dtype: string
-  - name: multi_turns
-    list:
-    - name: answer
-      dtype: string
-    - name: input
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 17498600
-    num_examples: 100
-  download_size: 16417345
-  dataset_size: 17498600
-- config_name: multi_turn_qa_chn
-  features:
-  - name: context
-    dtype: string
-  - name: multi_turns
-    list:
-    - name: answer
-      dtype: string
-    - name: input
-      dtype: string
-  - name: id
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 180437341
-    num_examples: 35
-  download_size: 115936454
-  dataset_size: 180437341
-- config_name: multi_turn_qa_eng
-  features:
-  - name: context
-    dtype: string
-  - name: multi_turns
-    list:
-    - name: answer
-      dtype: string
-    - name: input
-      dtype: string
-  - name: id
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 58359967
-    num_examples: 69
-  download_size: 35648660
-  dataset_size: 58359967
-- config_name: multi_turn_repoqa
-  features:
-  - name: context
-    dtype: string
-  - name: id
-    dtype: int64
-  - name: multi_turns
-    list:
-    - name: answer
-      dtype: string
-    - name: code_ratio
-      dtype: float64
-    - name: description
-      dtype: string
-    - name: end_byte
-      dtype: int64
-    - name: end_line
-      dtype: int64
-    - name: func
-      dtype: string
-    - name: global_end_byte
-      dtype: int64
-    - name: global_end_line
-      dtype: int64
-    - name: global_start_byte
-      dtype: int64
-    - name: global_start_line
-      dtype: int64
-    - name: input
-      dtype: string
-    - name: name
-      dtype: string
-    - name: path
-      dtype: string
-    - name: start_byte
-      dtype: int64
-    - name: start_line
-      dtype: int64
-  - name: lang
-    dtype: string
-  - name: repo
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 24847710
-    num_examples: 88
-  download_size: 4427455
-  dataset_size: 24847710
-- config_name: multi_turn_repoqa_and_kv
-  features:
-  - name: context
-    dtype: string
-  - name: id
-    dtype: int64
-  - name: multi_turns
-    list:
-    - name: answer
-      dtype: string
-    - name: code_ratio
-      dtype: float64
-    - name: description
-      dtype: string
-    - name: end_byte
-      dtype: int64
-    - name: end_line
-      dtype: int64
-    - name: func
-      dtype: string
-    - name: global_end_byte
-      dtype: int64
-    - name: global_end_line
-      dtype: int64
-    - name: global_start_byte
-      dtype: int64
-    - name: global_start_line
-      dtype: int64
-    - name: input
-      dtype: string
-    - name: name
-      dtype: string
-    - name: path
-      dtype: string
-    - name: start_byte
-      dtype: int64
-    - name: start_line
-      dtype: int64
-    - name: task
-      dtype: string
-  - name: lang
-    dtype: string
-  - name: repo
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 25019328
-    num_examples: 88
-  download_size: 8583611
-  dataset_size: 25019328
-- config_name: multi_turn_summary
-  features:
-  - name: context
-    dtype: string
-  - name: multi_turns
-    list:
-    - name: answer
-      dtype: string
-    - name: input
-      dtype: string
-  - name: id
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 28622955
-    num_examples: 70
-  download_size: 14245669
-  dataset_size: 28622955
-- config_name: multi_turn_summary_with_needles
-  features:
-  - name: context
-    dtype: string
-  - name: multi_turns
-    list:
-    - name: answer
-      dtype: string
-    - name: input
-      dtype: string
-    - name: task
-      dtype: string
-  - name: id
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 28629718
-    num_examples: 70
-  download_size: 14233712
-  dataset_size: 28629718
-- config_name: multi_turn_vt
-  features:
-  - name: index
-    dtype: int64
-  - name: input
-    dtype: string
-  - name: length
-    dtype: int64
-  - name: multi_turns
-    list:
-    - name: answer
-      sequence: string
-    - name: input
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 42549030
-    num_examples: 90
-  download_size: 2160077
-  dataset_size: 42549030
-configs:
-- config_name: multi_turn_choice_eng
-  data_files:
-  - split: train
-    path: multi_turn_choice_eng/train-*
-- config_name: multi_turn_kv
-  data_files:
-  - split: train
-    path: multi_turn_kv/train-*
-- config_name: multi_turn_many_shot
-  data_files:
-  - split: train
-    path: multi_turn_many_shot/train-*
-- config_name: multi_turn_mf
-  data_files:
-  - split: train
-    path: multi_turn_mf/train-*
-- config_name: multi_turn_prefix_suffix
-  data_files:
-  - split: train
-    path: multi_turn_prefix_suffix/train-*
-- config_name: multi_turn_qa_chn
-  data_files:
-  - split: train
-    path: multi_turn_qa_chn/train-*
-- config_name: multi_turn_qa_eng
-  data_files:
-  - split: train
-    path: multi_turn_qa_eng/train-*
-- config_name: multi_turn_repoqa
-  data_files:
-  - split: train
-    path: multi_turn_repoqa/train-*
-- config_name: multi_turn_repoqa_and_kv
-  data_files:
-  - split: train
-    path: multi_turn_repoqa_and_kv/train-*
-- config_name: multi_turn_summary
-  data_files:
-  - split: train
-    path: multi_turn_summary/train-*
-- config_name: multi_turn_summary_with_needles
-  data_files:
-  - split: train
-    path: multi_turn_summary_with_needles/train-*
-- config_name: multi_turn_vt
-  data_files:
-  - split: train
-    path: multi_turn_vt/train-*
----
+---
+license: mit
+dataset_info:
+- config_name: multi_turn_choice_eng
+  features:
+  - name: context
+    dtype: string
+  - name: multi_turns
+    list:
+    - name: answer
+      dtype: string
+    - name: input
+      dtype: string
+    - name: options
+      sequence: string
+  - name: id
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 46482955
+    num_examples: 58
+  download_size: 28590613
+  dataset_size: 46482955
+- config_name: multi_turn_kv
+  features:
+  - name: id
+    dtype: int64
+  - name: context
+    dtype: string
+  - name: multi_turns
+    list:
+    - name: answer
+      dtype: string
+    - name: input
+      dtype: string
+  splits:
+  - name: train
+    num_bytes: 20071200
+    num_examples: 100
+  download_size: 18278186
+  dataset_size: 20071200
+- config_name: multi_turn_many_shot
+  features:
+  - name: context
+    dtype: string
+  - name: multi_turns
+    list:
+    - name: answer
+      dtype: string
+    - name: input
+      dtype: string
+  - name: id
+    dtype: int64
+  - name: task
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 4734315
+    num_examples: 54
+  download_size: 99406
+  dataset_size: 4734315
+- config_name: multi_turn_mf
+  features:
+  - name: id
+    dtype: int64
+  - name: context
+    sequence: int64
+  - name: multi_turns
+    list:
+    - name: answer
+      dtype: int64
+    - name: input
+      dtype: string
+  splits:
+  - name: train
+    num_bytes: 24065100
+    num_examples: 100
+  download_size: 3766479
+  dataset_size: 24065100
+- config_name: multi_turn_prefix_suffix
+  features:
+  - name: context
+    dtype: string
+  - name: multi_turns
+    list:
+    - name: answer
+      dtype: string
+    - name: input
+      dtype: string
+  splits:
+  - name: train
+    num_bytes: 17498600
+    num_examples: 100
+  download_size: 16417345
+  dataset_size: 17498600
+- config_name: multi_turn_qa_chn
+  features:
+  - name: context
+    dtype: string
+  - name: multi_turns
+    list:
+    - name: answer
+      dtype: string
+    - name: input
+      dtype: string
+  - name: id
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 180437341
+    num_examples: 35
+  download_size: 115936454
+  dataset_size: 180437341
+- config_name: multi_turn_qa_eng
+  features:
+  - name: context
+    dtype: string
+  - name: multi_turns
+    list:
+    - name: answer
+      dtype: string
+    - name: input
+      dtype: string
+  - name: id
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 58359967
+    num_examples: 69
+  download_size: 35648660
+  dataset_size: 58359967
+- config_name: multi_turn_repoqa
+  features:
+  - name: context
+    dtype: string
+  - name: id
+    dtype: int64
+  - name: multi_turns
+    list:
+    - name: answer
+      dtype: string
+    - name: code_ratio
+      dtype: float64
+    - name: description
+      dtype: string
+    - name: end_byte
+      dtype: int64
+    - name: end_line
+      dtype: int64
+    - name: func
+      dtype: string
+    - name: global_end_byte
+      dtype: int64
+    - name: global_end_line
+      dtype: int64
+    - name: global_start_byte
+      dtype: int64
+    - name: global_start_line
+      dtype: int64
+    - name: input
+      dtype: string
+    - name: name
+      dtype: string
+    - name: path
+      dtype: string
+    - name: start_byte
+      dtype: int64
+    - name: start_line
+      dtype: int64
+  - name: lang
+    dtype: string
+  - name: repo
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 24847710
+    num_examples: 88
+  download_size: 4427455
+  dataset_size: 24847710
+- config_name: multi_turn_repoqa_and_kv
+  features:
+  - name: context
+    dtype: string
+  - name: id
+    dtype: int64
+  - name: multi_turns
+    list:
+    - name: answer
+      dtype: string
+    - name: code_ratio
+      dtype: float64
+    - name: description
+      dtype: string
+    - name: end_byte
+      dtype: int64
+    - name: end_line
+      dtype: int64
+    - name: func
+      dtype: string
+    - name: global_end_byte
+      dtype: int64
+    - name: global_end_line
+      dtype: int64
+    - name: global_start_byte
+      dtype: int64
+    - name: global_start_line
+      dtype: int64
+    - name: input
+      dtype: string
+    - name: name
+      dtype: string
+    - name: path
+      dtype: string
+    - name: start_byte
+      dtype: int64
+    - name: start_line
+      dtype: int64
+    - name: task
+      dtype: string
+  - name: lang
+    dtype: string
+  - name: repo
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 25019328
+    num_examples: 88
+  download_size: 8583611
+  dataset_size: 25019328
+- config_name: multi_turn_summary
+  features:
+  - name: context
+    dtype: string
+  - name: multi_turns
+    list:
+    - name: answer
+      dtype: string
+    - name: input
+      dtype: string
+  - name: id
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 28622955
+    num_examples: 70
+  download_size: 14245669
+  dataset_size: 28622955
+- config_name: multi_turn_summary_with_needles
+  features:
+  - name: context
+    dtype: string
+  - name: multi_turns
+    list:
+    - name: answer
+      dtype: string
+    - name: input
+      dtype: string
+    - name: task
+      dtype: string
+  - name: id
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 28629718
+    num_examples: 70
+  download_size: 14233712
+  dataset_size: 28629718
+- config_name: multi_turn_vt
+  features:
+  - name: index
+    dtype: int64
+  - name: input
+    dtype: string
+  - name: length
+    dtype: int64
+  - name: multi_turns
+    list:
+    - name: answer
+      sequence: string
+    - name: input
+      dtype: string
+  splits:
+  - name: train
+    num_bytes: 42549030
+    num_examples: 90
+  download_size: 2160077
+  dataset_size: 42549030
+configs:
+- config_name: multi_turn_choice_eng
+  data_files:
+  - split: train
+    path: multi_turn_choice_eng/train-*
+- config_name: multi_turn_kv
+  data_files:
+  - split: train
+    path: multi_turn_kv/train-*
+- config_name: multi_turn_many_shot
+  data_files:
+  - split: train
+    path: multi_turn_many_shot/train-*
+- config_name: multi_turn_mf
+  data_files:
+  - split: train
+    path: multi_turn_mf/train-*
+- config_name: multi_turn_prefix_suffix
+  data_files:
+  - split: train
+    path: multi_turn_prefix_suffix/train-*
+- config_name: multi_turn_qa_chn
+  data_files:
+  - split: train
+    path: multi_turn_qa_chn/train-*
+- config_name: multi_turn_qa_eng
+  data_files:
+  - split: train
+    path: multi_turn_qa_eng/train-*
+- config_name: multi_turn_repoqa
+  data_files:
+  - split: train
+    path: multi_turn_repoqa/train-*
+- config_name: multi_turn_repoqa_and_kv
+  data_files:
+  - split: train
+    path: multi_turn_repoqa_and_kv/train-*
+- config_name: multi_turn_summary
+  data_files:
+  - split: train
+    path: multi_turn_summary/train-*
+- config_name: multi_turn_summary_with_needles
+  data_files:
+  - split: train
+    path: multi_turn_summary_with_needles/train-*
+- config_name: multi_turn_vt
+  data_files:
+  - split: train
+    path: multi_turn_vt/train-*
+---
+
+# SCBench
+
+[[Paper]]()
+[[Code]](https://github.com/microsoft/MInference/SCBench)
+
+![SCBench](./data/framework.png)
+
+SCBench (SharedContextBench) is a comprehensive benchmark to evaluate efficient long-context methods in a KV cache-centric perspective, analyzing their performance across **the full KV cache lifecycle (generation, compression, retrieval, and loading)** in real-world scenarios where context memory (KV cache) is shared and reused across multiple requests.
+
+## Dataset
+
+![SCBench](./data/overview.png)
+
+SCBench covers 12 diverse tasks that test four key long-context capabilities: string retrieval, semantic retrieval, global information processing, and multi-tasking.
+
+### String Retrieval
+- **Retr.KV**: Tests key-value lookup in large JSON objects with random, incompressible content
+- **Retr.Prefix-Suffix**: Evaluates finding strings with specific prefix and suffix patterns 
+- **Retr.MultiHop**: Assesses multi-hop variable tracing capabilities in long inputs
+
+### Semantic Retrieval
+- **Code.RepoQA**: Function retrieval from large codebases based on natural language descriptions
+- **Language QA**: Includes English QA, Chinese QA, and multi-choice questions on long texts
+- Requires semantic understanding on length inputs
+
+### Global Information Processing
+- **Many-shot ICL**: Tests in-context learning with hundreds of examples
+- **Math.Find**: Statistical tasks on large arrays
+- **En.Sum**: Summarization of documents
+- Requires global information processing or aggregation
+
+### Multi-Tasking
+- **Mix.Sum+NIAH**: Combines summarization with needle-in-haystack search
+- **Mix.RepoQA+KV**: Integrates code function retrieval with key-value lookup
+- Requires multi-tasking or multi-step reasoning
+
+## Two Shared Context Modes
+The benchmark evaluates these tasks across two shared context modes:
+- **Multi-turn Mode**: Caches context within single sessions
+- **Multi-request Mode**: Shares context across multiple sessions
+
+## Compared to previous long-context benchmarks
+
+![SCBench](./data/comparison.png)
+
+Our SCBench is the first long-context benchmark that covers single-turn, multi-turn, and multi-request scenarios. In addition, our impelmentation also involves KV cache reuse techniques, thereby providing a more comprehensive analysis on the full KV cache lifecycle of efficient long-context methods.
+
+## Results and Findings
+
+![SCBench](./data/results.png)
+
+Our SCBench reveals that the following key insights:
+
+### Finding 1: Sub-O(n) Memory is Problematic in Multi-Request/Multi-Turn Decoding
+- Sparse decoding methods with sub-O(n) memory perform well on first queries but lose accuracy in subsequent requests
+- Methods maintaining O(n) memory with sub-O(n²) computation during pre-filling can better approximate full attention accuracy across multiple queries
+
+### Finding 2: Task Performance Shows Varying Decline Patterns
+- Sparse KV cache methods excel in tasks requiring global information processing
+- O(n) memory is essential for tasks involving exact match retrieval
+
+### Finding 3: Performance vs Compression Rate
+- All methods show performance degradation as compression rates increase
+- Sub-O(n) memory methods exhibit significant drop at 1/4 compression rate
+- Methods like RetrievalAttention and KIVI that maintain O(n) memory with sparse decoding show better resilience at higher compression rates
+
+### Finding 4: Issues with Long-Generation Scenarios
+- Attention distribution shifts significantly as generation length and number of rounds increase
+- This out-of-distribution (OOD) issue impacts performance even for O(n) memory methods
+
+### Finding 5: Dynamic vs Static Patterns
+- Dynamic sparse patterns generally outperform static patterns
+
+## Citation
+
+```bibtex
+@article{li2024scbench,
+    title={SCBench: A KV cache-centric analysis of long-context methods},
+    author={Li, Yucheng and Jiang, Huiqiang and Wu, Qianhui and Luo, Xufang and Ahn, Surin and Zhang, Chengruidong and Abdi, Amir H and Li, Dongsheng and Gao, Jianfeng and Yang, Yuqing and Qiu, Lili},
+    journal={arXiv preprint arXiv:2407.02490},
+    year={2024}
+}
+```