datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.malayalam_common_voice_benchmarkingmalayalam_msc_benchmarkingminipile_benchmarkingUM-DLP-Public-Benchmarking-Dataset
UM DLP Public Benchmarking Dataset
Description
The UM DLP Public Benchmarking Dataset is a publicly available collection designed specifically to stress test Data Loss Prevention (DLP) systems, helping identify detection gaps, false positives, and false negatives for ongoing improvement.
This benchmark dataset contains 1,343 manually validated records across six major categories relevant to financial and sensitive data risks:
Financial Data (Account information about… See the full description on the dataset page: https://huggingface.co/datasets/alibustami/UM-DLP-Public-Benchmarking-Dataset.quantum-error-mitigation-and-benchmarking
Neura Parse — Quantum Error Mitigation, Characterization & Benchmarking
A pre-fault-tolerance, code-backed vertical on getting trustworthy answers from noisy hardware and rigorously measuring device quality: error-mitigation techniques, characterization/tomography protocols, and benchmarking suites. Runnable Mitiq, pyGSTi, and Qiskit Experiments pipelines with honest sampling-overhead and bias/variance accounting — the practitioner and research toolkit the general dataset… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-error-mitigation-and-benchmarking.PDB-Single-Hard
PDB-Single-Hard: Precise Debugging Benchmarking — hard single-line bug subset
📄 Paper ·
💻 Code ·
🌐 Project page ·
🏆 Leaderboard
PDB-Single-Hard is the hard single-line bug subset of the PDB (Precise Debugging Benchmarking) evaluation suite. Every example pairs a ground-truth program with a synthesized buggy version plus a line-level edit script (gt_diff) that encodes the minimal correct fix.
Source datasets: BigCodeBench + LiveCodeBench
Sibling datasets: PDB-Single ·… See the full description on the dataset page: https://huggingface.co/datasets/Precise-Debugging-Benchmarking/PDB-Single-Hard.PDB-Single
PDB-Single: Precise Debugging Benchmarking — single-line bug subset
📄 Paper ·
💻 Code ·
🌐 Project page ·
🏆 Leaderboard
PDB-Single is the single-line bug subset of the PDB (Precise Debugging Benchmarking) evaluation suite. Every example pairs a ground-truth program with a synthesized buggy version plus a line-level edit script (gt_diff) that encodes the minimal correct fix.
Source datasets: BigCodeBench + LiveCodeBench
Sibling datasets: PDB-Single-Hard · PDB-Multi… See the full description on the dataset page: https://huggingface.co/datasets/Precise-Debugging-Benchmarking/PDB-Single.aya101-benchmarking
Dataset Card for Evaluation run of CohereForAI/aya-101
Dataset automatically created during the evaluation run of model CohereForAI/aya-101
The dataset is composed of 5 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/africa-intelligence/aya101-benchmarking.UM-DLP-Public-Benchmarking-Dataset
UM DLP Public Benchmarking Dataset
Description
The UM DLP Public Benchmarking Dataset is a publicly available collection designed specifically to stress test Data Loss Prevention (DLP) systems, helping identify detection gaps, false positives, and false negatives for ongoing improvement.
This benchmark dataset contains 1,343 manually validated records across six major categories relevant to financial and sensitive data risks:
Financial Data (Account information… See the full description on the dataset page: https://huggingface.co/datasets/xorushi/UM-DLP-Public-Benchmarking-Dataset.collagen-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/lamm-mit/collagen-cdsm_benchmarking_data.llama-south-africa-benchmarking
Dataset Card for Evaluation run of chad-brouze/llama-8b-south-africa
Dataset automatically created during the evaluation run of model chad-brouze/llama-8b-south-africa
The dataset is composed of 17 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 14 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/africa-intelligence/llama-south-africa-benchmarking.InkubaLM-benchmarking
Dataset Card for Evaluation run of lelapa/InkubaLM-0.4B
Dataset automatically created during the evaluation run of model lelapa/InkubaLM-0.4B
The dataset is composed of 5 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/africa-intelligence/InkubaLM-benchmarking.PDB-Multi
PDB-Multi: Precise Debugging Benchmarking — multi-line bug subset (2–4 line blocks)
📄 Paper ·
💻 Code ·
🌐 Project page ·
🏆 Leaderboard
PDB-Multi is the multi-line bug subset (2–4 line blocks) of the PDB (Precise Debugging Benchmarking) evaluation suite. Every example pairs a ground-truth program with a synthesized buggy version plus a line-level edit script (gt_diff) that encodes the minimal correct fix.
Source datasets: BigCodeBench + LiveCodeBench
Sibling datasets:… See the full description on the dataset page: https://huggingface.co/datasets/Precise-Debugging-Benchmarking/PDB-Multi.llama-benchmarking
Dataset Card for Evaluation run of meta-llama/Llama-3.1-8B-Instruct
Dataset automatically created during the evaluation run of model meta-llama/Llama-3.1-8B-Instruct
The dataset is composed of 5 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 4 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/africa-intelligence/llama-benchmarking.africa-synth-energy-pv-performance-benchmarking-africa-benin
Africa Synth Energy Pv Performance Benchmarking Africa Benin | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: energy - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-energy-pv-performance-benchmarking-africa-benin.benchmarking-wikidatahallucination-invalid-questions-mysql-explanation-benchmarkingaya23-benchmarking
Dataset Card for Evaluation run of CohereForAI/aya-23-8B
Dataset automatically created during the evaluation run of model CohereForAI/aya-23-8B
The dataset is composed of 5 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/africa-intelligence/aya23-benchmarking.hallucination-invalid-questions-mysql-falcon-explanation-benchmarkingfaithfulness-f1score-spl-prompt-falcon-benchmarkingfaithfulness-f1score-spl-prompt-gpt-benchmarkingpolarity-gpt-spl-benchmarkingTranslation_Benchmarking_datasets_allprofanity-gpt-spl-benchmarkingaya-benchmarking
Dataset Card for Evaluation run of CohereForAI/aya-23-8B
Dataset automatically created during the evaluation run of model CohereForAI/aya-23-8B
The dataset is composed of 5 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/africa-intelligence/aya-benchmarking.hallucination-valid-questions-mysql-explanation-benchmarkingTranslation_Benchmarking_datasets_all_floresInspect-Search-Models-Benchmarking-Result-CIR-FOR-CHECK