datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sim-datasets
SIM-Datasets: A Unified Symbolic Regression Benchmark
A standardized benchmark collection designed for the Scientific Intelligent Modelling (SIM) toolkit, providing comprehensive datasets for symbolic regression research and applications.
Overview
SIM-Datasets serves as a unified benchmark for symbolic regression tasks, offering standardized datasets with consistent formatting and evaluation protocols. This collection is specifically curated to support the Scientific… See the full description on the dataset page: https://huggingface.co/datasets/scientific-intelligent-modelling/sim-datasets.scientific-verification
Scientific Verification Benchmark: NMC Cathodes
Dataset summary
The benchmark contains 50 scientific claims about NMC (lithium nickel manganese cobalt oxide) battery cathodes. Each claim is answered by Claude Opus 5, GPT 5.6 Luna and Gemini 3.1 Pro using a set of 20 open-access papers, producing 150 scored answers. The accompanying reference set contains 1,991 experiment-grounded measurements curated from 227 open-access papers, with experimental conditions and… See the full description on the dataset page: https://huggingface.co/datasets/GenData-Research/scientific-verification.Scientific-and-technical-journal-articles-Africa
Scientific and technical journal articles Africa | Africa (World Bank)
Size category: n<1K - Formats: csv - Sector: climate_environment - 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
Public datasets help analysts… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Scientific-and-technical-journal-articles-Africa.scientific-literature-research-assistant-dataASCAT-Arabic-Scientific-Translation
ASCAT: Arabic Scientific Corpus for Advanced Translation
ASCAT (Arabic Scientific Corpus for Advanced Translation) is a high-quality English–Arabic parallel corpus of full scientific abstracts designed for rigorous evaluation and training of domain-specific machine translation (MT) systems.
Unlike existing Arabic–English corpora that rely on short sentences or narrow domains, ASCAT targets long-form scientific abstracts validated through a multi-engine translation and expert… See the full description on the dataset page: https://huggingface.co/datasets/NAMAA-Space/ASCAT-Arabic-Scientific-Translation.openalex-scientific-paper-impactScientificArticleAbstract_Classificationrus_scientific_paperslegal-scientific-evidence-translation-coherence-v0.1What this dataset is
You receive
scientific finding
court translation
uncertainty bounds
method limits
overstatement signals
You decide
Does the translation preserve the limits of the science
Answer
coherent
or
incoherent
Why this matters
When translation drifts
juries misread certainty
appeals rise
convictions or verdicts destabilise
Tamil_Scientific_Data