greghavens/glm-5.2-coding-and-debugging-traces
Dataset com 1 mil – 10 mil exemplos — 1.6 mil downloads no Hugging Face. GLM 5.2 Agent Traces 207 TRAJECTORIES · 1,821 TRAINING ROWS · 1 MB PARQUET · 35 MB JSONL Generated by moonshiner — an open harness for distilling…
O dataset greghavens/glm-5.2-coding-and-debugging-traces 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
- Idiomas: inglês
- Licença: CC BY 4.0
- Downloads: 1.6 mil · Curtidas: 15
Sobre o dataset
GLM 5.2 Agent Traces 207 TRAJECTORIES · 1,821 TRAINING ROWS · 1 MB PARQUET · 35 MB JSONL Generated by moonshiner — an open harness for distilling verified instruction-following, tool-use, and agentic coding traces. Behavior-preserving instruction-following, tool-use, and agent trajectories from GLM 5.2 (glm-5.2). The category and row-share tables below describe the actual mix seen during training rather than assuming a particular task domain. This is an actively growing… See the full description on the dataset page: https://huggingface.co/datasets/greghavens/glm-5.2-coding-and-debugging…
Como carregar
Use a biblioteca datasets do Hugging Face:
pip install -U datasets
from datasets import load_dataset
ds = load_dataset("greghavens/glm-5.2-coding-and-debugging-traces")
print(ds)
print(ds["train"][0])Tags
text-generation traces code agentic tool-use coding-agent coding-agents agent-traces
