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dfafb8c
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1 Parent(s): 50cee81

Update croissant.json: add all 7 configs with RAI fields

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Files changed (1) hide show
  1. croissant.json +318 -145
croissant.json CHANGED
@@ -49,7 +49,7 @@
49
  },
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  "@type": "sc:Dataset",
51
  "name": "AgentPerfBench",
52
- "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. Provides two dataset configurations: trace_replay (empirical session replays) and distributional (statistical sampling).",
53
  "url": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench",
54
  "license": "https://spdx.org/licenses/Apache-2.0.html",
55
  "conformsTo": "http://mlcommons.org/croissant/1.1",
@@ -76,6 +76,41 @@
76
  "contentUrl": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench/resolve/main/distributional/summary.parquet",
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  "encodingFormat": "application/x-parquet",
78
  "sha256": "bb9a48351e0b612b3125c5d0a8e200638d790269f821e45aae342a4042bfd951"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
79
  }
80
  ],
81
  "recordSet": [
@@ -90,126 +125,63 @@
90
  "@id": "trace-replay-summary/run_id",
91
  "name": "run_id",
92
  "dataType": "sc:Text",
93
- "source": {
94
- "fileObject": {
95
- "@id": "trace-replay-summary-parquet"
96
- },
97
- "extract": {
98
- "column": "run_id"
99
- }
100
- }
101
  },
102
  {
103
  "@type": "cr:Field",
104
  "@id": "trace-replay-summary/model",
105
  "name": "model",
106
  "dataType": "sc:Text",
107
- "source": {
108
- "fileObject": {
109
- "@id": "trace-replay-summary-parquet"
110
- },
111
- "extract": {
112
- "column": "model"
113
- }
114
- }
115
  },
116
  {
117
  "@type": "cr:Field",
118
  "@id": "trace-replay-summary/hardware",
119
  "name": "hardware",
120
  "dataType": "sc:Text",
121
- "source": {
122
- "fileObject": {
123
- "@id": "trace-replay-summary-parquet"
124
- },
125
- "extract": {
126
- "column": "hardware"
127
- }
128
- }
129
  },
130
  {
131
  "@type": "cr:Field",
132
  "@id": "trace-replay-summary/engine",
133
  "name": "engine",
134
  "dataType": "sc:Text",
135
- "source": {
136
- "fileObject": {
137
- "@id": "trace-replay-summary-parquet"
138
- },
139
- "extract": {
140
- "column": "engine"
141
- }
142
- }
143
  },
144
  {
145
  "@type": "cr:Field",
146
  "@id": "trace-replay-summary/profile",
147
  "name": "profile",
148
  "dataType": "sc:Text",
149
- "source": {
150
- "fileObject": {
151
- "@id": "trace-replay-summary-parquet"
152
- },
153
- "extract": {
154
- "column": "profile"
155
- }
156
- }
157
  },
158
  {
159
  "@type": "cr:Field",
160
  "@id": "trace-replay-summary/concurrency",
161
  "name": "concurrency",
162
  "dataType": "sc:Integer",
163
- "source": {
164
- "fileObject": {
165
- "@id": "trace-replay-summary-parquet"
166
- },
167
- "extract": {
168
- "column": "concurrency"
169
- }
170
- }
171
  },
172
  {
173
  "@type": "cr:Field",
174
  "@id": "trace-replay-summary/request_throughput",
175
  "name": "request_throughput",
176
  "dataType": "sc:Float",
177
- "source": {
178
- "fileObject": {
179
- "@id": "trace-replay-summary-parquet"
180
- },
181
- "extract": {
182
- "column": "request_throughput"
183
- }
184
- }
185
  },
186
  {
187
  "@type": "cr:Field",
188
  "@id": "trace-replay-summary/median_ttft_ms",
189
  "name": "median_ttft_ms",
190
  "dataType": "sc:Float",
191
- "source": {
192
- "fileObject": {
193
- "@id": "trace-replay-summary-parquet"
194
- },
195
- "extract": {
196
- "column": "median_ttft_ms"
197
- }
198
- }
199
  },
200
  {
201
  "@type": "cr:Field",
202
  "@id": "trace-replay-summary/median_tpot_ms",
203
  "name": "median_tpot_ms",
204
  "dataType": "sc:Float",
205
- "source": {
206
- "fileObject": {
207
- "@id": "trace-replay-summary-parquet"
208
- },
209
- "extract": {
210
- "column": "median_tpot_ms"
211
- }
212
- }
213
  }
214
  ]
215
  },
@@ -224,126 +196,327 @@
224
  "@id": "distributional-summary/run_id",
225
  "name": "run_id",
226
  "dataType": "sc:Text",
227
- "source": {
228
- "fileObject": {
229
- "@id": "distributional-summary-parquet"
230
- },
231
- "extract": {
232
- "column": "run_id"
233
- }
234
- }
235
  },
236
  {
237
  "@type": "cr:Field",
238
  "@id": "distributional-summary/model",
239
  "name": "model",
240
  "dataType": "sc:Text",
241
- "source": {
242
- "fileObject": {
243
- "@id": "distributional-summary-parquet"
244
- },
245
- "extract": {
246
- "column": "model"
247
- }
248
- }
249
  },
250
  {
251
  "@type": "cr:Field",
252
  "@id": "distributional-summary/hardware",
253
  "name": "hardware",
254
  "dataType": "sc:Text",
255
- "source": {
256
- "fileObject": {
257
- "@id": "distributional-summary-parquet"
258
- },
259
- "extract": {
260
- "column": "hardware"
261
- }
262
- }
263
  },
264
  {
265
  "@type": "cr:Field",
266
  "@id": "distributional-summary/engine",
267
  "name": "engine",
268
  "dataType": "sc:Text",
269
- "source": {
270
- "fileObject": {
271
- "@id": "distributional-summary-parquet"
272
- },
273
- "extract": {
274
- "column": "engine"
275
- }
276
- }
277
  },
278
  {
279
  "@type": "cr:Field",
280
  "@id": "distributional-summary/profile",
281
  "name": "profile",
282
  "dataType": "sc:Text",
283
- "source": {
284
- "fileObject": {
285
- "@id": "distributional-summary-parquet"
286
- },
287
- "extract": {
288
- "column": "profile"
289
- }
290
- }
291
  },
292
  {
293
  "@type": "cr:Field",
294
  "@id": "distributional-summary/concurrency",
295
  "name": "concurrency",
296
  "dataType": "sc:Integer",
297
- "source": {
298
- "fileObject": {
299
- "@id": "distributional-summary-parquet"
300
- },
301
- "extract": {
302
- "column": "concurrency"
303
- }
304
- }
305
  },
306
  {
307
  "@type": "cr:Field",
308
  "@id": "distributional-summary/request_throughput",
309
  "name": "request_throughput",
310
  "dataType": "sc:Float",
311
- "source": {
312
- "fileObject": {
313
- "@id": "distributional-summary-parquet"
314
- },
315
- "extract": {
316
- "column": "request_throughput"
317
- }
318
- }
319
  },
320
  {
321
  "@type": "cr:Field",
322
  "@id": "distributional-summary/median_ttft_ms",
323
  "name": "median_ttft_ms",
324
  "dataType": "sc:Float",
325
- "source": {
326
- "fileObject": {
327
- "@id": "distributional-summary-parquet"
328
- },
329
- "extract": {
330
- "column": "median_ttft_ms"
331
- }
332
- }
333
  },
334
  {
335
  "@type": "cr:Field",
336
  "@id": "distributional-summary/median_tpot_ms",
337
  "name": "median_tpot_ms",
338
  "dataType": "sc:Float",
339
- "source": {
340
- "fileObject": {
341
- "@id": "distributional-summary-parquet"
342
- },
343
- "extract": {
344
- "column": "median_tpot_ms"
345
- }
346
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
347
  }
348
  ]
349
  }
 
49
  },
50
  "@type": "sc:Dataset",
51
  "name": "AgentPerfBench",
52
+ "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. Seven configurations: trace_replay, distributional, kernels_labeled, roofline_quadrant, coding_agent_prompts, osworld_trajectories, and predictions.",
53
  "url": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench",
54
  "license": "https://spdx.org/licenses/Apache-2.0.html",
55
  "conformsTo": "http://mlcommons.org/croissant/1.1",
 
76
  "contentUrl": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench/resolve/main/distributional/summary.parquet",
77
  "encodingFormat": "application/x-parquet",
78
  "sha256": "bb9a48351e0b612b3125c5d0a8e200638d790269f821e45aae342a4042bfd951"
79
+ },
80
+ {
81
+ "@type": "cr:FileObject",
82
+ "@id": "kernels-labeled-parquet",
83
+ "name": "kernel_profiles/kernels_labeled.parquet",
84
+ "contentUrl": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench/resolve/main/kernel_profiles/kernels_labeled.parquet",
85
+ "encodingFormat": "application/x-parquet"
86
+ },
87
+ {
88
+ "@type": "cr:FileObject",
89
+ "@id": "roofline-quadrant-parquet",
90
+ "name": "kernel_profiles/roofline_quadrant.parquet",
91
+ "contentUrl": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench/resolve/main/kernel_profiles/roofline_quadrant.parquet",
92
+ "encodingFormat": "application/x-parquet"
93
+ },
94
+ {
95
+ "@type": "cr:FileObject",
96
+ "@id": "coding-agent-prompts-parquet",
97
+ "name": "workload_traces/coding_agent_prompts.parquet",
98
+ "contentUrl": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench/resolve/main/workload_traces/coding_agent_prompts.parquet",
99
+ "encodingFormat": "application/x-parquet"
100
+ },
101
+ {
102
+ "@type": "cr:FileObject",
103
+ "@id": "osworld-trajectories-parquet",
104
+ "name": "workload_traces/osworld_trajectories.parquet",
105
+ "contentUrl": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench/resolve/main/workload_traces/osworld_trajectories.parquet",
106
+ "encodingFormat": "application/x-parquet"
107
+ },
108
+ {
109
+ "@type": "cr:FileObject",
110
+ "@id": "predictions-parquet",
111
+ "name": "predictions/serving_predictions.parquet",
112
+ "contentUrl": "https://huggingface.co/datasets/agent-perf-bench/AgentPerfBench/resolve/main/predictions/serving_predictions.parquet",
113
+ "encodingFormat": "application/x-parquet"
114
  }
115
  ],
116
  "recordSet": [
 
125
  "@id": "trace-replay-summary/run_id",
126
  "name": "run_id",
127
  "dataType": "sc:Text",
128
+ "source": { "fileObject": { "@id": "trace-replay-summary-parquet" }, "extract": { "column": "run_id" } }
 
 
 
 
 
 
 
129
  },
130
  {
131
  "@type": "cr:Field",
132
  "@id": "trace-replay-summary/model",
133
  "name": "model",
134
  "dataType": "sc:Text",
135
+ "source": { "fileObject": { "@id": "trace-replay-summary-parquet" }, "extract": { "column": "model" } }
 
 
 
 
 
 
 
136
  },
137
  {
138
  "@type": "cr:Field",
139
  "@id": "trace-replay-summary/hardware",
140
  "name": "hardware",
141
  "dataType": "sc:Text",
142
+ "source": { "fileObject": { "@id": "trace-replay-summary-parquet" }, "extract": { "column": "hardware" } }
 
 
 
 
 
 
 
143
  },
144
  {
145
  "@type": "cr:Field",
146
  "@id": "trace-replay-summary/engine",
147
  "name": "engine",
148
  "dataType": "sc:Text",
149
+ "source": { "fileObject": { "@id": "trace-replay-summary-parquet" }, "extract": { "column": "engine" } }
 
 
 
 
 
 
 
150
  },
151
  {
152
  "@type": "cr:Field",
153
  "@id": "trace-replay-summary/profile",
154
  "name": "profile",
155
  "dataType": "sc:Text",
156
+ "source": { "fileObject": { "@id": "trace-replay-summary-parquet" }, "extract": { "column": "profile" } }
 
 
 
 
 
 
 
157
  },
158
  {
159
  "@type": "cr:Field",
160
  "@id": "trace-replay-summary/concurrency",
161
  "name": "concurrency",
162
  "dataType": "sc:Integer",
163
+ "source": { "fileObject": { "@id": "trace-replay-summary-parquet" }, "extract": { "column": "concurrency" } }
 
 
 
 
 
 
 
164
  },
165
  {
166
  "@type": "cr:Field",
167
  "@id": "trace-replay-summary/request_throughput",
168
  "name": "request_throughput",
169
  "dataType": "sc:Float",
170
+ "source": { "fileObject": { "@id": "trace-replay-summary-parquet" }, "extract": { "column": "request_throughput" } }
 
 
 
 
 
 
 
171
  },
172
  {
173
  "@type": "cr:Field",
174
  "@id": "trace-replay-summary/median_ttft_ms",
175
  "name": "median_ttft_ms",
176
  "dataType": "sc:Float",
177
+ "source": { "fileObject": { "@id": "trace-replay-summary-parquet" }, "extract": { "column": "median_ttft_ms" } }
 
 
 
 
 
 
 
178
  },
179
  {
180
  "@type": "cr:Field",
181
  "@id": "trace-replay-summary/median_tpot_ms",
182
  "name": "median_tpot_ms",
183
  "dataType": "sc:Float",
184
+ "source": { "fileObject": { "@id": "trace-replay-summary-parquet" }, "extract": { "column": "median_tpot_ms" } }
 
 
 
 
 
 
 
185
  }
186
  ]
187
  },
 
196
  "@id": "distributional-summary/run_id",
197
  "name": "run_id",
198
  "dataType": "sc:Text",
199
+ "source": { "fileObject": { "@id": "distributional-summary-parquet" }, "extract": { "column": "run_id" } }
 
 
 
 
 
 
 
200
  },
201
  {
202
  "@type": "cr:Field",
203
  "@id": "distributional-summary/model",
204
  "name": "model",
205
  "dataType": "sc:Text",
206
+ "source": { "fileObject": { "@id": "distributional-summary-parquet" }, "extract": { "column": "model" } }
 
 
 
 
 
 
 
207
  },
208
  {
209
  "@type": "cr:Field",
210
  "@id": "distributional-summary/hardware",
211
  "name": "hardware",
212
  "dataType": "sc:Text",
213
+ "source": { "fileObject": { "@id": "distributional-summary-parquet" }, "extract": { "column": "hardware" } }
 
 
 
 
 
 
 
214
  },
215
  {
216
  "@type": "cr:Field",
217
  "@id": "distributional-summary/engine",
218
  "name": "engine",
219
  "dataType": "sc:Text",
220
+ "source": { "fileObject": { "@id": "distributional-summary-parquet" }, "extract": { "column": "engine" } }
 
 
 
 
 
 
 
221
  },
222
  {
223
  "@type": "cr:Field",
224
  "@id": "distributional-summary/profile",
225
  "name": "profile",
226
  "dataType": "sc:Text",
227
+ "source": { "fileObject": { "@id": "distributional-summary-parquet" }, "extract": { "column": "profile" } }
 
 
 
 
 
 
 
228
  },
229
  {
230
  "@type": "cr:Field",
231
  "@id": "distributional-summary/concurrency",
232
  "name": "concurrency",
233
  "dataType": "sc:Integer",
234
+ "source": { "fileObject": { "@id": "distributional-summary-parquet" }, "extract": { "column": "concurrency" } }
 
 
 
 
 
 
 
235
  },
236
  {
237
  "@type": "cr:Field",
238
  "@id": "distributional-summary/request_throughput",
239
  "name": "request_throughput",
240
  "dataType": "sc:Float",
241
+ "source": { "fileObject": { "@id": "distributional-summary-parquet" }, "extract": { "column": "request_throughput" } }
 
 
 
 
 
 
 
242
  },
243
  {
244
  "@type": "cr:Field",
245
  "@id": "distributional-summary/median_ttft_ms",
246
  "name": "median_ttft_ms",
247
  "dataType": "sc:Float",
248
+ "source": { "fileObject": { "@id": "distributional-summary-parquet" }, "extract": { "column": "median_ttft_ms" } }
 
 
 
 
 
 
 
249
  },
250
  {
251
  "@type": "cr:Field",
252
  "@id": "distributional-summary/median_tpot_ms",
253
  "name": "median_tpot_ms",
254
  "dataType": "sc:Float",
255
+ "source": { "fileObject": { "@id": "distributional-summary-parquet" }, "extract": { "column": "median_tpot_ms" } }
256
+ }
257
+ ]
258
+ },
259
+ {
260
+ "@type": "cr:RecordSet",
261
+ "@id": "kernels-labeled",
262
+ "name": "Kernels Labeled",
263
+ "description": "Per-kernel CUDA profiling data from NCU (Nsight Compute). Individual kernel invocations across 4 GPUs and 13 model/sweep sources.",
264
+ "field": [
265
+ {
266
+ "@type": "cr:Field",
267
+ "@id": "kernels-labeled/source",
268
+ "name": "source",
269
+ "dataType": "sc:Text",
270
+ "source": { "fileObject": { "@id": "kernels-labeled-parquet" }, "extract": { "column": "source" } }
271
+ },
272
+ {
273
+ "@type": "cr:Field",
274
+ "@id": "kernels-labeled/gpu",
275
+ "name": "gpu",
276
+ "dataType": "sc:Text",
277
+ "source": { "fileObject": { "@id": "kernels-labeled-parquet" }, "extract": { "column": "gpu" } }
278
+ },
279
+ {
280
+ "@type": "cr:Field",
281
+ "@id": "kernels-labeled/model",
282
+ "name": "model",
283
+ "dataType": "sc:Text",
284
+ "source": { "fileObject": { "@id": "kernels-labeled-parquet" }, "extract": { "column": "model" } }
285
+ },
286
+ {
287
+ "@type": "cr:Field",
288
+ "@id": "kernels-labeled/kernel_family",
289
+ "name": "kernel_family",
290
+ "dataType": "sc:Text",
291
+ "source": { "fileObject": { "@id": "kernels-labeled-parquet" }, "extract": { "column": "kernel_family" } }
292
+ },
293
+ {
294
+ "@type": "cr:Field",
295
+ "@id": "kernels-labeled/kernel_name",
296
+ "name": "kernel_name",
297
+ "dataType": "sc:Text",
298
+ "source": { "fileObject": { "@id": "kernels-labeled-parquet" }, "extract": { "column": "kernel_name" } }
299
+ },
300
+ {
301
+ "@type": "cr:Field",
302
+ "@id": "kernels-labeled/gpu_time_duration_ms",
303
+ "name": "gpu_time_duration_ms",
304
+ "dataType": "sc:Float",
305
+ "source": { "fileObject": { "@id": "kernels-labeled-parquet" }, "extract": { "column": "gpu_time_duration_ms" } }
306
+ },
307
+ {
308
+ "@type": "cr:Field",
309
+ "@id": "kernels-labeled/dram_bytes_sum",
310
+ "name": "dram_bytes_sum",
311
+ "dataType": "sc:Float",
312
+ "source": { "fileObject": { "@id": "kernels-labeled-parquet" }, "extract": { "column": "dram_bytes_sum" } }
313
+ }
314
+ ]
315
+ },
316
+ {
317
+ "@type": "cr:RecordSet",
318
+ "@id": "roofline-quadrant",
319
+ "name": "Roofline Quadrant",
320
+ "description": "Operational intensity and achieved throughput per kernel for roofline analysis. H100 reference hardware.",
321
+ "field": [
322
+ {
323
+ "@type": "cr:Field",
324
+ "@id": "roofline-quadrant/model",
325
+ "name": "model",
326
+ "dataType": "sc:Text",
327
+ "source": { "fileObject": { "@id": "roofline-quadrant-parquet" }, "extract": { "column": "model" } }
328
+ },
329
+ {
330
+ "@type": "cr:Field",
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+ "@id": "roofline-quadrant/hardware",
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+ "name": "Coding Agent Prompts",
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+ "description": "System/user prompt pairs with output token counts from SWE-Bench coding agent sessions.",
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+ },
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+ {
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+ "@type": "cr:RecordSet",
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+ "@id": "osworld-trajectories",
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+ "name": "OSWorld Trajectories",
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+ "description": "Multi-turn OSWorld sessions with per-turn action/observation data (up to 30 turns per session).",
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+ "field": [
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+ {
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+ "@type": "cr:Field",
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+ "@id": "osworld-trajectories/session_id",
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+ {
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+ "@type": "cr:RecordSet",
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+ "@id": "predictions",
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+ "name": "Serving Predictions",
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+ "description": "Predicted vs. measured latency for each serving configuration across 14 hardware configs.",
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+ {
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+ "@type": "cr:Field",
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+ "@id": "predictions/hardware_config",
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+ "name": "hardware_config",
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+ "dataType": "sc:Text",
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+ "source": { "fileObject": { "@id": "predictions-parquet" }, "extract": { "column": "model" } }
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+ },
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+ "@id": "predictions/cache_hit_rate",
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+ "name": "cache_hit_rate",
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+ "dataType": "sc:Float",
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+ "source": { "fileObject": { "@id": "predictions-parquet" }, "extract": { "column": "cache_hit_rate" } }
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+ },
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+ "@type": "cr:Field",
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+ "@id": "predictions/cache_aware_applied",
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+ "name": "cache_aware_applied",
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+ "dataType": "sc:Boolean",
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+ "source": { "fileObject": { "@id": "predictions-parquet" }, "extract": { "column": "cache_aware_applied" } }
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  ]
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  }