Datasets:

nvidia
/

aisimulate-fpm-dataset

{
  "compression": "zstd",
  "compression_level": 3,
  "representations": {
    "forward-pass-records-parquet-v1": "source_row: int64\nmeasurement_id: string\nphase: string\nbatch_size: int64\ntotal_prefill_tokens: int64\ntotal_kv_read_tokens: int64\ntruth_latency_ms: double\nsource_file: string\noriginal_source_row: int64",
    "fpm-iterations-parquet-v1": "source_row: int64\nlayout: string\niteration_id: string\ncomplete: bool\nexpected_dp_ranks: list<item: int64>\n  child 0, item: int64\nmax_rank_wall_time: double\nwall_time: double\nbenchmark_id: int64\nrank_measurements: list<item: struct<version: int64, worker_id: string, dp_rank: int64, counter_id: int64, wall_time: d (... 598 chars omitted)\n  child 0, item: struct<version: int64, worker_id: string, dp_rank: int64, counter_id: int64, wall_time: double, rece (... 586 chars omitted)\n      child 0, version: int64\n      child 1, worker_id: string\n      child 2, dp_rank: int64\n      child 3, counter_id: int64\n      child 4, wall_time: double\n      child 5, received_at_ns: int64\n      child 6, source_line: int64\n      child 7, wire_counter: int64\n      child 8, observed_at_unix_ms: double\n      child 9, _recv_ts: double\n      child 10, scheduled_requests: struct<num_prefill_requests: int64, sum_prefill_tokens: int64, var_prefill_length: double, sum_prefi (... 107 chars omitted)\n          child 0, num_prefill_requests: int64\n          child 1, sum_prefill_tokens: int64\n          child 2, var_prefill_length: double\n          child 3, sum_prefill_kv_tokens: int64\n          child 4, num_decode_requests: int64\n          child 5, sum_decode_kv_tokens: int64\n          child 6, var_decode_kv_tokens: double\n      child 11, queued_requests: struct<num_prefill_requests: int64, sum_prefill_tokens: int64, var_prefill_length: double, sum_prefi (... 107 chars omitted)\n          child 0, num_prefill_requests: int64\n          child 1, sum_prefill_tokens: int64\n          child 2, var_prefill_length: double\n          child 3, sum_prefill_kv_tokens: int64\n          child 4, num_decode_requests: int64\n          child 5, sum_decode_kv_tokens: int64\n          child 6, var_decode_kv_tokens: double\n      child 12, extensions_json: string\nmetadata_json: string",
    "iteration-index-parquet-v1": "source_row: int64\niteration_id: string\nrecord_file_id: string\nrecord_id: int64\ncomplete: bool\navailable_dp_ranks: list<item: int64>\n  child 0, item: int64\nmin_received_at_ns: int64\nmax_received_at_ns: int64\nmax_rank_wall_time: double\nrank_wall_time_spread_ms: double\nduration_spread_exceeds_1ms: bool\nworkload_kind: string\nalignment_support_json: string",
    "request-metrics-parquet-v1": "run_id: string\nrequest_id: string\nstage: string\noutcome: string\ninput_tokens: int64\noutput_tokens: int64\nstart_offset_ms: double\nttft_ms: double\ntpot_ms: double\ne2e_ms: double\ntiming_boundaries_compatible: bool\nsource_record: int64"
  },
  "row_group_size": 16384,
  "version": 1
}

	{
	"compression": "zstd",
	"compression_level": 3,
	"representations": {
	"forward-pass-records-parquet-v1": "source_row: int64\nmeasurement_id: string\nphase: string\nbatch_size: int64\ntotal_prefill_tokens: int64\ntotal_kv_read_tokens: int64\ntruth_latency_ms: double\nsource_file: string\noriginal_source_row: int64",
	"fpm-iterations-parquet-v1": "source_row: int64\nlayout: string\niteration_id: string\ncomplete: bool\nexpected_dp_ranks: list<item: int64>\n child 0, item: int64\nmax_rank_wall_time: double\nwall_time: double\nbenchmark_id: int64\nrank_measurements: list<item: struct<version: int64, worker_id: string, dp_rank: int64, counter_id: int64, wall_time: d (... 598 chars omitted)\n child 0, item: struct<version: int64, worker_id: string, dp_rank: int64, counter_id: int64, wall_time: double, rece (... 586 chars omitted)\n child 0, version: int64\n child 1, worker_id: string\n child 2, dp_rank: int64\n child 3, counter_id: int64\n child 4, wall_time: double\n child 5, received_at_ns: int64\n child 6, source_line: int64\n child 7, wire_counter: int64\n child 8, observed_at_unix_ms: double\n child 9, _recv_ts: double\n child 10, scheduled_requests: struct<num_prefill_requests: int64, sum_prefill_tokens: int64, var_prefill_length: double, sum_prefi (... 107 chars omitted)\n child 0, num_prefill_requests: int64\n child 1, sum_prefill_tokens: int64\n child 2, var_prefill_length: double\n child 3, sum_prefill_kv_tokens: int64\n child 4, num_decode_requests: int64\n child 5, sum_decode_kv_tokens: int64\n child 6, var_decode_kv_tokens: double\n child 11, queued_requests: struct<num_prefill_requests: int64, sum_prefill_tokens: int64, var_prefill_length: double, sum_prefi (... 107 chars omitted)\n child 0, num_prefill_requests: int64\n child 1, sum_prefill_tokens: int64\n child 2, var_prefill_length: double\n child 3, sum_prefill_kv_tokens: int64\n child 4, num_decode_requests: int64\n child 5, sum_decode_kv_tokens: int64\n child 6, var_decode_kv_tokens: double\n child 12, extensions_json: string\nmetadata_json: string",
	"iteration-index-parquet-v1": "source_row: int64\niteration_id: string\nrecord_file_id: string\nrecord_id: int64\ncomplete: bool\navailable_dp_ranks: list<item: int64>\n child 0, item: int64\nmin_received_at_ns: int64\nmax_received_at_ns: int64\nmax_rank_wall_time: double\nrank_wall_time_spread_ms: double\nduration_spread_exceeds_1ms: bool\nworkload_kind: string\nalignment_support_json: string",
	"request-metrics-parquet-v1": "run_id: string\nrequest_id: string\nstage: string\noutcome: string\ninput_tokens: int64\noutput_tokens: int64\nstart_offset_ms: double\nttft_ms: double\ntpot_ms: double\ne2e_ms: double\ntiming_boundaries_compatible: bool\nsource_record: int64"
	},
	"row_group_size": 16384,
	"version": 1
	}