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README.md CHANGED
@@ -20,10 +20,10 @@ configs:
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  data_files:
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  - split: summary
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  path: trace_replay/summary.parquet
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- - config_name: distributional
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  data_files:
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  - split: summary
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- path: distributional/summary.parquet
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  - config_name: kernels_labeled
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  data_files:
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  - split: train
@@ -95,7 +95,7 @@ dataset_info:
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  - name: summary
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  num_examples: 2902
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  num_bytes: 640182
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- - config_name: distributional
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  features:
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  - name: run_id
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  dtype: string
@@ -224,7 +224,7 @@ Replays exact ISL/OSL sequences from recorded agent sessions (SWE-Bench, Termina
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  17 profiles: `chat-medium`, `chat-multiturn-long`, `chat-multiturn-medium`, `chat-multiturn-short`, `chat-short`, `chat-singleturn`, `coding-singleturn`, `decode-heavy`, `osworld-multiturn-long`, `osworld-multiturn-medium`, `osworld-multiturn-short`, `prefill-heavy`, `random-1k`, `swebench-multiturn-medium`, `swebench-multiturn-short`, `terminalbench-multiturn-medium`, `terminalbench-multiturn-short`
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- ### distributional (245 rows)
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  ISL/OSL sampled from lognormal fits to real workload statistics. 42 combinations, 6 profiles, 7 concurrency levels.
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@@ -236,16 +236,16 @@ Per-kernel Nsight Compute (ncu) profiles across 4 GPUs (A100, H100, RTX 3090, RT
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  ### Concurrency filtering
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- Concurrency is controlled by a fixed-size connection pool. Trace replay uses levels {1, 5, 10, 20, 40, 80}; distributional uses {1, 5, 10, 40, 80, 200, 320}.
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- Early runs used a session-pool size smaller than the declared concurrency (`num_sessions=100` for trace replay, `num_sessions=10` for distributional), capping actual load below the nominal value. Rows where declared concurrency exceeded the session pool were dropped.
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  Configurations where fewer than 75% of requests completed successfully are excluded.
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  | Config | Rows |
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  |--------|------|
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  | trace_replay | 2,902 |
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- | distributional | 245 |
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  | **Total** | **3,147** |
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  ## Coverage
@@ -315,7 +315,7 @@ Each row in `summary.parquet` (both configs):
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  from datasets import load_dataset
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  ds = load_dataset("agent-perf-bench/AgentPerfBench", "trace_replay")
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- # or "distributional", "kernels_labeled"
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  ```
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  ## Benchmark methodology
 
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  data_files:
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  - split: summary
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  path: trace_replay/summary.parquet
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+ - config_name: synthetic_distributional
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  data_files:
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  - split: summary
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+ path: synthetic_distributional/summary.parquet
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  - config_name: kernels_labeled
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  data_files:
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  - split: train
 
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  - name: summary
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  num_examples: 2902
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  num_bytes: 640182
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+ - config_name: synthetic_distributional
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  features:
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  - name: run_id
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  dtype: string
 
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  17 profiles: `chat-medium`, `chat-multiturn-long`, `chat-multiturn-medium`, `chat-multiturn-short`, `chat-short`, `chat-singleturn`, `coding-singleturn`, `decode-heavy`, `osworld-multiturn-long`, `osworld-multiturn-medium`, `osworld-multiturn-short`, `prefill-heavy`, `random-1k`, `swebench-multiturn-medium`, `swebench-multiturn-short`, `terminalbench-multiturn-medium`, `terminalbench-multiturn-short`
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+ ### synthetic_distributional (245 rows)
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  ISL/OSL sampled from lognormal fits to real workload statistics. 42 combinations, 6 profiles, 7 concurrency levels.
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  ### Concurrency filtering
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+ Concurrency is controlled by a fixed-size connection pool. Trace replay uses levels {1, 5, 10, 20, 40, 80}; synthetic_distributional uses {1, 5, 10, 40, 80, 200, 320}.
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+ Early runs used a session-pool size smaller than the declared concurrency (`num_sessions=100` for trace replay, `num_sessions=10` for synthetic_distributional), capping actual load below the nominal value. Rows where declared concurrency exceeded the session pool were dropped.
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  Configurations where fewer than 75% of requests completed successfully are excluded.
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  | Config | Rows |
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  |--------|------|
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  | trace_replay | 2,902 |
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+ | synthetic_distributional | 245 |
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  | **Total** | **3,147** |
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  ## Coverage
 
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  from datasets import load_dataset
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  ds = load_dataset("agent-perf-bench/AgentPerfBench", "trace_replay")
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+ # or "synthetic_distributional", "kernels_labeled"
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  ```
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  ## Benchmark methodology
croissant.json CHANGED
@@ -49,7 +49,7 @@
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  },
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  "@type": "sc:Dataset",
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  "name": "AgentPerfBench",
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- "description": "LLM inference benchmark dataset measuring serving performance (TTFT, TPOT, throughput) across 9 models, 4 GPU platforms, 2 serving engines under agentic and chat workloads. Three configurations: trace_replay, distributional, and kernels_labeled.",
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  "url": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench",
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  "license": "https://spdx.org/licenses/Apache-2.0.html",
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  "conformsTo": "http://mlcommons.org/croissant/1.1",
@@ -71,9 +71,9 @@
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  },
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  {
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  "@type": "cr:FileObject",
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- "@id": "distributional-summary-parquet",
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- "name": "distributional/summary.parquet",
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- "contentUrl": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench/resolve/main/distributional/summary.parquet",
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  "encodingFormat": "application/x-parquet",
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  "sha256": "67d63072831143e929e0b6d6464744756f783b53ac30fed0232bc01c601676ec"
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  },
@@ -223,18 +223,18 @@
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  },
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  {
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  "@type": "cr:RecordSet",
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- "@id": "distributional-summary",
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- "name": "Distributional Summary",
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- "description": "One row per benchmark configuration from distributional runs (statistical sampling from lognormal fits to recorded workload statistics).",
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  "field": [
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  {
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  "@type": "cr:Field",
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- "@id": "distributional-summary/run_id",
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  "name": "run_id",
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  "dataType": "sc:Text",
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  "source": {
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  "fileObject": {
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- "@id": "distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "run_id"
@@ -243,12 +243,12 @@
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  },
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  {
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  "@type": "cr:Field",
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- "@id": "distributional-summary/model",
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  "name": "model",
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  "dataType": "sc:Text",
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  "source": {
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  "fileObject": {
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- "@id": "distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "model"
@@ -257,12 +257,12 @@
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  },
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  {
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  "@type": "cr:Field",
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- "@id": "distributional-summary/hardware",
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  "name": "hardware",
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  "dataType": "sc:Text",
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  "source": {
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  "fileObject": {
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- "@id": "distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "hardware"
@@ -271,12 +271,12 @@
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  },
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  {
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  "@type": "cr:Field",
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- "@id": "distributional-summary/engine",
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  "name": "engine",
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  "dataType": "sc:Text",
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  "source": {
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  "fileObject": {
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- "@id": "distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "engine"
@@ -285,12 +285,12 @@
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  },
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  {
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  "@type": "cr:Field",
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- "@id": "distributional-summary/profile",
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  "name": "profile",
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  "dataType": "sc:Text",
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  "source": {
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  "fileObject": {
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- "@id": "distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "profile"
@@ -299,12 +299,12 @@
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  },
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  {
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  "@type": "cr:Field",
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- "@id": "distributional-summary/concurrency",
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  "name": "concurrency",
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  "dataType": "sc:Integer",
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  "source": {
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  "fileObject": {
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- "@id": "distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "concurrency"
@@ -313,12 +313,12 @@
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  },
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  {
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  "@type": "cr:Field",
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- "@id": "distributional-summary/request_throughput",
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  "name": "request_throughput",
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  "dataType": "sc:Float",
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  "source": {
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  "fileObject": {
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- "@id": "distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "request_throughput"
@@ -327,12 +327,12 @@
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  },
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  {
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  "@type": "cr:Field",
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- "@id": "distributional-summary/median_ttft_ms",
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  "name": "median_ttft_ms",
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  "dataType": "sc:Float",
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  "source": {
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  "fileObject": {
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- "@id": "distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "median_ttft_ms"
@@ -341,12 +341,12 @@
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  },
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  {
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  "@type": "cr:Field",
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- "@id": "distributional-summary/median_tpot_ms",
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  "name": "median_tpot_ms",
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  "dataType": "sc:Float",
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  "source": {
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  "fileObject": {
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- "@id": "distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "median_tpot_ms"
 
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  },
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  "@type": "sc:Dataset",
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  "name": "AgentPerfBench",
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+ "description": "LLM inference benchmark dataset measuring serving performance (TTFT, TPOT, throughput) across 9 models, 4 GPU platforms, 2 serving engines under agentic and chat workloads. Three configurations: trace_replay, synthetic_distributional, and kernels_labeled.",
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  "url": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench",
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  "license": "https://spdx.org/licenses/Apache-2.0.html",
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  "conformsTo": "http://mlcommons.org/croissant/1.1",
 
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  },
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  {
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  "@type": "cr:FileObject",
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+ "@id": "synthetic-distributional-summary-parquet",
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+ "name": "synthetic_distributional/summary.parquet",
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+ "contentUrl": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench/resolve/main/synthetic_distributional/summary.parquet",
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  "encodingFormat": "application/x-parquet",
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  "sha256": "67d63072831143e929e0b6d6464744756f783b53ac30fed0232bc01c601676ec"
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  },
 
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  },
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  {
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  "@type": "cr:RecordSet",
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+ "@id": "synthetic-distributional-summary",
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+ "name": "Synthetic Distributional Summary",
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+ "description": "One row per benchmark configuration from synthetic distributional runs (statistical sampling from lognormal fits to recorded workload statistics).",
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  "field": [
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  {
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  "@type": "cr:Field",
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+ "@id": "synthetic-distributional-summary/run_id",
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  "name": "run_id",
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  "dataType": "sc:Text",
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  "source": {
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  "fileObject": {
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+ "@id": "synthetic-distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "run_id"
 
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  },
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  {
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  "@type": "cr:Field",
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+ "@id": "synthetic-distributional-summary/model",
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  "name": "model",
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  "dataType": "sc:Text",
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  "source": {
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  "fileObject": {
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+ "@id": "synthetic-distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "model"
 
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  },
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  {
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  "@type": "cr:Field",
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+ "@id": "synthetic-distributional-summary/hardware",
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  "name": "hardware",
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  "dataType": "sc:Text",
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  "source": {
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  "fileObject": {
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+ "@id": "synthetic-distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "hardware"
 
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  },
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  {
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  "@type": "cr:Field",
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+ "@id": "synthetic-distributional-summary/engine",
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  "name": "engine",
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  "dataType": "sc:Text",
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  "source": {
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  "fileObject": {
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+ "@id": "synthetic-distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "engine"
 
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  },
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  {
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  "@type": "cr:Field",
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+ "@id": "synthetic-distributional-summary/profile",
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  "name": "profile",
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  "dataType": "sc:Text",
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  "source": {
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  "fileObject": {
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+ "@id": "synthetic-distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "profile"
 
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  },
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  {
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  "@type": "cr:Field",
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+ "@id": "synthetic-distributional-summary/concurrency",
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  "name": "concurrency",
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  "dataType": "sc:Integer",
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  "source": {
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  "fileObject": {
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+ "@id": "synthetic-distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "concurrency"
 
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  },
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  {
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  "@type": "cr:Field",
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+ "@id": "synthetic-distributional-summary/request_throughput",
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  "name": "request_throughput",
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  "dataType": "sc:Float",
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  "source": {
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  "fileObject": {
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+ "@id": "synthetic-distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "request_throughput"
 
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  },
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  {
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  "@type": "cr:Field",
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+ "@id": "synthetic-distributional-summary/median_ttft_ms",
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  "name": "median_ttft_ms",
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  "dataType": "sc:Float",
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  "source": {
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  "fileObject": {
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+ "@id": "synthetic-distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "median_ttft_ms"
 
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  },
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  {
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  "@type": "cr:Field",
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+ "@id": "synthetic-distributional-summary/median_tpot_ms",
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  "name": "median_tpot_ms",
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  "dataType": "sc:Float",
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  "source": {
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  "fileObject": {
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+ "@id": "synthetic-distributional-summary-parquet"
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  },
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  "extract": {
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  "column": "median_tpot_ms"
synthetic_distributional/summary.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:67d63072831143e929e0b6d6464744756f783b53ac30fed0232bc01c601676ec
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+ size 68747