Upload README.md with huggingface_hub

README.md

@@ -1,6 +1,6 @@
 ---
 dataset_info:
-- config_name: default
+- config_name: vllm
   features:
   - name: commit_hash
     dtype: string
@@ -140,87 +140,91 @@ dataset_info:
     num_examples: 15
   download_size: 52410
   dataset_size: 91137
-- config_name: vllm
-  features:
-  - name: commit_hash
-    dtype: string
-  - name: pr_url
-    dtype: string
-  - name: pr_date
-    dtype: string
-  - name: timeline_extracted_at
-    dtype: string
-  - name: analysis_extracted_at
-    dtype: string
-  - name: models
-    list: string
-  - name: perf_command
-    dtype: string
-  - name: has_serving
-    dtype: bool
-  - name: has_latency
-    dtype: bool
-  - name: has_throughput
-    dtype: bool
-  - name: uses_lm_eval
-    dtype: bool
-  - name: commit_subject
-    dtype: string
-  - name: commit_message
-    dtype: string
-  - name: commit_date
-    dtype: string
-  - name: files_changed
-    list: string
-  - name: stats
-    struct:
-    - name: commit_year
-      dtype: int64
-    - name: num_edited_lines
-      dtype: int64
-    - name: num_files
-      dtype: int64
-    - name: num_hunks
-      dtype: int64
-    - name: num_non_test_edited_lines
-      dtype: int64
-    - name: num_non_test_files
-      dtype: int64
-    - name: num_test_files
-      dtype: int64
-    - name: only_non_test_files
-      dtype: int64
-    - name: only_test_files
-      dtype: int64
-  - name: diff_text
-    dtype: string
-  - name: apis
-    list: string
-  - name: affected_paths
-    list: string
-  - name: repo
-    dtype: string
-  - name: hardware
-    dtype: string
-  - name: lm_eval_command
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 545364
-    num_examples: 39
-  download_size: 192570
-  dataset_size: 545364
 configs:
-- config_name: default
+- config_name: vllm
   data_files:
   - split: train
-    path: data/train-*
+    path: vllm/train-*
 - config_name: sglang
   data_files:
   - split: train
     path: sglang/train-*
-- config_name: vllm
-  data_files:
-  - split: train
-    path: vllm/train-*
+license: apache-2.0
+task_categories:
+- text-generation
+language:
+- en
+size_categories:
+- n<1K
+tags:
+- performance-optimization
+- software-engineering
+- benchmark
+- ai-agents
+- code
 ---
+
+# ISO-Bench Dataset
+
+A curated dataset of real-world software performance optimization commits from [vLLM](https://github.com/vllm-project/vllm) and [SGLang](https://github.com/sgl-project/sglang), designed for evaluating AI agents on code optimization tasks.
+
+## Dataset Summary
+
+| Config | Commits | Repository |
+|--------|---------|------------|
+| `vllm` | 39 | vLLM (LLM inference engine) |
+| `sglang` | 15 | SGLang (LLM serving framework) |
+
+Each entry represents a human-authored performance optimization commit with:
+- The original commit diff and message
+- Performance benchmark commands (`perf_command`)
+- Model configurations for benchmarking
+- Hardware requirements
+- API surface analysis
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load vLLM optimization commits
+vllm = load_dataset('Lossfunk/ISO-Bench', 'vllm', split='train')
+
+# Load SGLang optimization commits
+sglang = load_dataset('Lossfunk/ISO-Bench', 'sglang', split='train')
+
+# Example: inspect a commit
+print(vllm[0]['commit_subject'])
+print(vllm[0]['perf_command'])
+print(vllm[0]['models'])
+```
+
+## Schema
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `commit_hash` | string | Short hash of the optimization commit |
+| `pr_url` | string | URL to the pull request |
+| `commit_subject` | string | Commit message subject line |
+| `commit_message` | string | Full commit message |
+| `diff_text` | string | Unified diff of the optimization |
+| `models` | list[string] | HuggingFace model IDs used for benchmarking |
+| `perf_command` | string | Command to run the performance benchmark |
+| `has_serving` | bool | Whether commit affects serving performance |
+| `has_latency` | bool | Whether commit affects latency |
+| `has_throughput` | bool | Whether commit affects throughput |
+| `uses_lm_eval` | bool | Whether correctness is validated via lm-eval |
+| `lm_eval_command` | string | lm-eval command for correctness validation |
+| `files_changed` | list[string] | Files modified in the commit |
+| `apis` | list[string] | Affected API endpoints/functions |
+| `affected_paths` | list[string] | Code paths affected by the change |
+| `hardware` | string | Required hardware (e.g., GPU type) |
+| `stats` | struct | Commit statistics (lines changed, files, hunks) |
+
+## How It Works
+
+Each dataset entry captures a real performance optimization made by an expert developer. AI agents are given the codebase at the parent commit (before optimization) and must independently discover and implement a performance improvement. Their patches are then benchmarked against the human expert's solution using wall-clock timing comparisons.
+
+## License
+
+Apache 2.0