Datasets:
Formats:
parquet
Sub-tasks:
univariate-time-series-forecasting
Languages:
English
Size:
100K - 1M
License:
File size: 672 Bytes
f7ff1b4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | """
Stream the OCB providers feed with Polars directly from HF. Pushdown
predicate + projection means only the columns and partitions you ask
for ever hit the wire. Recommended for analytic workloads.
"""
import polars as pl
providers = pl.scan_parquet(
"hf://datasets/OpenChainBench/benchmarks/providers/**/*.parquet"
)
# Trend of Mobula's p50 latency on bridge-quote-latency across all snapshots
trend = (
providers.filter(
(pl.col("bench_slug") == "bridge-quote-latency")
& (pl.col("provider_slug") == "mobula")
)
.select(["snapshot_date", "p50", "p90", "p99", "sample_size"])
.sort("snapshot_date")
.collect()
)
print(trend)
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