Datasets:
Formats:
parquet
Sub-tasks:
univariate-time-series-forecasting
Languages:
English
Size:
100K - 1M
License:
| """ | |
| 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) | |