datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
annotated-isabelleExtensively annotated Isabelle source code, suitable for pretraining, about 500M tokens in Qwen3's tokenizer.
Data source: Isabelle/HOL + AFP 2025-02-12. Cases from the PISA benchmark are removed.
Example:
lemma (in group) diff_neutralizes: ✐‹contributor ‹Paulo EmÃlio de Vilhena››
assumes "subgroup H G" "R ∈ rcosets H"
shows "⋀r1 r2. ⟦ r1 ∈ R; r2 ∈ R ⟧ ⟹ r1 ⊗ (inv r2) ∈ H"
proof (-)
(*goal: ‹⋀r1 r2. ⟦r1 ∈ R; r2 ∈ R⟧ ⟹ r1 ⊗ inv r2 ∈ H›*)
fix r1 and r2
assume r1: "r1 ∈ R" and r2: "r2… See the full description on the dataset page: https://huggingface.co/datasets/ANTPG/annotated-isabelle.OpenMath-Difficulty-Annotated
📐 OpenMath-Difficulty-Annotated
🚀 Overview
OpenMath-Difficulty-Annotated is a curated subset of OpenMathInstruct-2 containing 10,176 math problems, enhanced with precise difficulty metadata.
While the original solutions are preserved from NVIDIA's dataset, we employed a 120B Parameter Model (LLM-as-a-Judge) to analyze and grade every single problem on a scale of 1 to 5.
This allows developers of Small Language Models (1B-3B) to filter out "Olympiad-level" noise… See the full description on the dataset page: https://huggingface.co/datasets/HAD653/OpenMath-Difficulty-Annotated.FEDERICO-GARCIA-LORCA-canciones-poemas-romances-annotated
Federico García Lorca - Annotated Poetry Dataset
A curated and annotated dataset of 283 poems by Federico García Lorca, spanning 9 of his major works (1921--1940). Each poem is enriched with publication metadata and GPT-4-generated thematic and contextual annotations.
Use Case: LLM Generalization Evaluation
This dataset was created to evaluate how well large language models can generalize literary style from a small, domain-specific corpus. It has been used to fine-tune… See the full description on the dataset page: https://huggingface.co/datasets/xaviviro/FEDERICO-GARCIA-LORCA-canciones-poemas-romances-annotated.PPe_detection_annotated
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