benchmarking
benchmarking_sbi_runs
Benchmarking SBI Runs
This dataset contains the raw, per-run results underlying the manuscript
"Benchmarking Simulation-Based Inference"
(Lueckmann, Boelts, Greenberg, Goncalves & Macke, AISTATS 2021).
It is a direct migration of the Git LFS data from
mackelab/benchmarking_sbi_runs on GitHub.
For compiled, ready-to-use dataframes built from these raw results (and the code that produced
them), see the companion repository:… See the full description on the dataset page: https://huggingface.co/datasets/mackelab/benchmarking_sbi_runs.PDE_Inverse_Problem_Benchmarking
PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems
This is the official dataset for the paper PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems.
Code: GitHub - ASK-Berkeley/PDEInvBench
Sample Usage
You can use the provided script from the codebase to batch download the data:
pip install huggingface_hub
python3 huggingface_pdeinv_download.py --dataset… See the full description on the dataset page: https://huggingface.co/datasets/DabbyOWL/PDE_Inverse_Problem_Benchmarking.Agri_STT_Benchmarking_Dataset
Agri STT Benchmarking Dataset
10,808 farmer voice queries in Hindi, Telugu and Odia, with reference transcripts, for benchmarking automatic speech recognition in agricultural contexts. The audio is included in this repository.
Every recording is a smallholder farmer speaking a question to Farmer.Chat, an AI advisory service run by Digital Green. Reference transcripts were produced by human annotators. Nothing here is read from a script or recorded in a studio, so the audio… See the full description on the dataset page: https://huggingface.co/datasets/DigiGreen/Agri_STT_Benchmarking_Dataset.external-benchmarking
Vector Search Benchmarks
This repo contains datasets for benchmarking vector search performance, to help Superlinked prioritize integration partners.
For performing actual benchmarking on this dataset, see the github repository README.
Overview
We reviewed a number of publicly available datasets and noted 3 core problems + here is how this dataset fixes them:
Problems of other vector search benchmarks
How this dataset solves it
Not enough metadata of… See the full description on the dataset page: https://huggingface.co/datasets/superlinked/external-benchmarking.benchmark-dk-interaktivt-benchmarkingunivers
Benchmark.dk - interaktivt benchmarkingunivers (komplet data-høst)
Komplet høst af datamaterialet bag Indenrigs- og Sundhedsministeriets
Benchmarkingenheds interaktive benchmarkingunivers:
https://www.benchmark.dk/interaktivt-benchmarkingunivers. Høstet 1. juni 2026.
Del af Silkeborg Skoleatlas - 4 af de deri indeholdte
skole/dagtilbud-tabeller indgår også kurateret i atlassets egen
silkeborg-benchmark-national-datasæt,
men dette repo er den fulde, ukuraterede kilde: alle 6… See the full description on the dataset page: https://huggingface.co/datasets/Skoleatlas/benchmark-dk-interaktivt-benchmarkingunivers.cdsm_benchmarking_data
CDSM Collagen Structure Benchmark — Data
Structures and scores for a benchmark comparing a deterministic collagen
triple-helix builder (CDSM) against four co-folding models — Boltz-2, Chai-1,
Protenix and AlphaFold3, the last in both with-MSA (af3_msa) and no-MSA
(af3_nomsa) conditions — on 80 experimentally resolved collagen triple
helices from the RCSB PDB.
Code: https://github.com/bm-howard/cdsm_benchmarking
Layout
Prefix
Contents
Size
experimental/… See the full description on the dataset page: https://huggingface.co/datasets/CollagenHelixLabs/cdsm_benchmarking_data.