LiquidAI/ifstruct-v1.0
Dataset com 1 mil – 10 mil exemplos — 729 downloads no Hugging Face. IFStruct v1.0 [!Note] 📝 Blog post: https://www.liquid.ai/blog/ifstruct-v1.0 💻 GitHub: https://github.com/Liquid4All/ifstruct IFStruct is a bench…
O dataset LiquidAI/ifstruct-v1.0 está entre os destaques do Hugging Face — dados que alimentam o treinamento e a avaliação dos modelos do momento.
Ficha do dataset
- Tamanho: 1 mil – 10 mil exemplos
- Tarefas: geração de texto
- Formato/modalidade: JSON
- Idiomas: inglês
- Licença: Apache 2.0
- Downloads: 729 · Curtidas: 75
Sobre o dataset
IFStruct v1.0 [!Note] 📝 Blog post: https://www.liquid.ai/blog/ifstruct-v1.0 💻 GitHub: https://github.com/Liquid4All/ifstruct IFStruct is a benchmark for structured-output compliance: can a model produce valid JSON/YAML that follows a requested schema, when the requirements are phrased the many different ways real users phrase them? It is scored without constrained decoding, and only the structure is judged (not content quality, extraction accuracy, or reasoning) so the… See the full description on the dataset page: https://huggingface.co/datasets/LiquidAI/ifstruct-v1.0.
Como carregar
Use a biblioteca datasets do Hugging Face:
pip install -U datasets
from datasets import load_dataset
ds = load_dataset("LiquidAI/ifstruct-v1.0")
print(ds)
print(ds["train"][0])Tags
text-generation structured-output json yaml instruction-following schema-following
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