datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
opus-gpt-swe-frontier-core
SWE Base
Repository-level software engineering trajectories for training coding agents.
2,459 chat trajectories · 48,499 API calls · $837.57 recorded generation cost
SWE-bench · debugging · patching · tools · agents
Overview
SWE Base is a software-engineering dataset centered on real repository issues. Each training example gives an agent a problem statement and captures the multi-turn process of inspecting a codebase, reasoning about a bug… See the full description on the dataset page: https://huggingface.co/datasets/Roman1111111/opus-gpt-swe-frontier-core.Romulus-cpt-fr
Romulus, continually pre-trained models for French law.
Romulus is a series of continually pre-trained models enriched in French law and intended to serve as the basis for a fine-tuning process on labeled data. Please note that these models have not been aligned for the production of usable text as they stand, and will certainly need to be fine-tuned for the desired tasks in order to produce satisfactory results.
The training corpus is made up of around 34,864,949 tokens… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/Romulus-cpt-fr.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.