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Browse files- README.md +7 -8
- croissant.json +953 -953
- kernel_profiles/kernels_labeled.parquet +2 -2
- synthetic_distributional/summary.parquet +2 -2
README.md
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dtype: float64
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- name: summary
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num_examples:
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num_bytes: 70836
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- config_name: per_layer_kernel
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features:
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# AgentPerfBench
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LLM inference benchmark:
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## Dataset configurations
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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 (
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ISL/OSL sampled from lognormal fits to real workload statistics.
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### per_layer_kernel (37 rows)
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### Quality filtering
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Concurrency levels: trace_replay {1, 5, 10, 20, 40, 80}, synthetic_distributional {1, 5, 10}. Configurations where fewer than 75% of requests completed successfully are excluded. Summary metrics are computed from successful requests only.
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| Config | Rows |
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|--------|------|
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| trace_replay | 2,932 |
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| synthetic_distributional |
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| per_layer_kernel | 37 |
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| kernels_labeled | 148,077 |
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| mse_validation | 28 |
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dtype: float64
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splits:
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- name: summary
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num_examples: 1365
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- config_name: per_layer_kernel
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features:
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- name: record_type
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# AgentPerfBench
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LLM inference benchmark: 4,297 main sweep rows and 37 per-layer kernel validation rows, plus 148,077 per-kernel NCU profiles, across 9 models, 14 GPU configurations, and 2 serving engines (vLLM 0.19.0, SGLang 0.5.9). All models served in BF16 except gpt-oss, which uses mxfp4 for projection weights.
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## Dataset configurations
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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 (1,365 rows)
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ISL/OSL sampled from lognormal fits to real workload statistics. 49 unique (model, hardware, engine) combinations, 20 profiles, 11 concurrency levels {1, 5, 10, 20, 40, 80, 120, 160, 200, 256, 320}, 6.5% matrix fill.
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20 profiles: `chat-medium`, `chat-multiturn`, `chat-multiturn-long`, `chat-multiturn-medium`, `chat-multiturn-short`, `chat-multiturn-synth`, `chat-short`, `chat-singleturn`, `chat-singleturn-synth`, `coding-singleturn`, `osworld-multiturn`, `osworld-multiturn-long`, `osworld-multiturn-medium`, `osworld-multiturn-short`, `osworld-multiturn-synth`, `swebench-multiturn`, `swebench-multiturn-synth`, `terminalbench-multiturn`, `terminalbench-multiturn-short`, `terminalbench-multiturn-synth`
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### per_layer_kernel (37 rows)
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### Quality filtering
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Concurrency levels: trace_replay {1, 5, 10, 20, 40, 80}, synthetic_distributional {1, 5, 10, 20, 40, 80, 120, 160, 200, 256, 320}. Configurations where fewer than 75% of requests completed successfully are excluded. Summary metrics are computed from successful requests only.
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| Config | Rows |
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|--------|------|
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| trace_replay | 2,932 |
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| synthetic_distributional | 1,365 |
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| per_layer_kernel | 37 |
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| kernels_labeled | 148,077 |
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| mse_validation | 28 |
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},
|
| 928 |
+
{
|
| 929 |
+
"@id": "https://github.com/TerminalBench/TerminalBench",
|
| 930 |
+
"name": "TerminalBench"
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"@id": "https://github.com/xlang-ai/OSWorld",
|
| 934 |
+
"name": "OSWorld"
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"@id": "https://huggingface.co/datasets/Aeala/ShareGPT_Vicuna_unfiltered",
|
| 938 |
+
"name": "ShareGPT"
|
| 939 |
+
}
|
| 940 |
+
],
|
| 941 |
+
"prov:wasGeneratedBy": {
|
| 942 |
+
"@type": "prov:Activity",
|
| 943 |
+
"name": "AgentPerfBench benchmark collection",
|
| 944 |
+
"description": "Deploy model on target GPU with specified engine and tensor parallelism. Send requests per configuration after warmup using closed-loop concurrency control. Record per-request TTFT, TPOT, ITL, E2EL, and token counts. Compute summary statistics. Sanitize credentials and convert to Parquet."
|
| 945 |
+
},
|
| 946 |
+
"rai:dataCollection": "Automated benchmark collection. Models deployed on target GPU with specified engine and tensor parallelism. Requests sent per workload profile using closed-loop concurrency control with semaphore. Per-request TTFT, TPOT, ITL, E2EL, and token counts recorded. Kernel profiles collected via Nsight Compute (ncu) with hardware counter metrics.",
|
| 947 |
+
"rai:dataCollectionType": "Automated measurement via benchmarking scripts. No human subjects or crowdsourcing.",
|
| 948 |
+
"rai:dataCollectionMissingData": "Some model-hardware-concurrency combinations are absent due to OOM or engine incompatibility. Concurrency levels exceeding the session-pool size were filtered (see Concurrency filtering in README).",
|
| 949 |
+
"rai:dataPreprocessing": "Credentials and API endpoints stripped. Configurations with fewer than 75% of requests completing successfully are excluded. Summary statistics computed from successful requests. Kernel names demangled from NCU output.",
|
| 950 |
+
"rai:dataAnnotationProtocol": "Not applicable. Fully automated benchmark collection with no human annotation.",
|
| 951 |
+
"rai:dataAnnotationPlatform": "Not applicable. No human annotation.",
|
| 952 |
+
"rai:dataAnnotationAnalysis": "Not applicable. No human annotation."
|
| 953 |
+
}
|
kernel_profiles/kernels_labeled.parquet
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f9822c8c872bbfc00bc69d335ebef23bb8603f9a9e624267c56905f1e8cf8aa8
|
| 3 |
+
size 657407
|
synthetic_distributional/summary.parquet
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e641197686e02248ff063fceb9046efaf03e5e2e7fbb50d5d57f785e17c9157
|
| 3 |
+
size 307276
|