Omkar2118/datasets huggingface dataset:
SOSD
Full name: Searching on Sorted Data

SOSD is a collection of dataset to benchmark the lookup performance of learned indexes.

SOSD currently includes eight different datasets. Each dataset consists of 200 million 64-bit unsigned integers (keys) with very few duplicates (if at all):
`amzn` represents book sale popularity data.
`face` is an upsampled version of a Facebook user ID dataset.
`logn` and `norm` are lognormal (0, 2) and normal distributions, respectively.
`osmc` is uniformly sampled OpenStreetMap locations represented as Google S2 CellIds.
`uden` is dense integers.
`uspr` is uniformly distributed sparse integers.
`wiki` is Wikipedia article edit timestamps.

In addition, there are 32-bit versions of all datasets (except `osmc` and `wiki`) with similar CDFs. We use different parameters, (0, 1), for logn in the 32-bit case to reduce the number of duplicates.

Introducing paper: SOSD: A Benchmark for Learned Indexes