arks_data

# Dataset Card for Dataset Name This dataset contains 4 sub-datasets, namely Pony, Ring, ScipyM, TensorflowM. You can find more information about this dataset from our paper **"ARKS: Active Retrieval in Knowledge Soup for Code Generation"** paper Arxiv link: https://arxiv.org/abs/2402.12317 paper website: https://arks-codegen.github.io # How to load this dataset load one dataset: ``` from datasets import load_dataset data_files = {"corpus": "Pony/Pony_docs.jsonl"} dataset = load_dataset("xlangai/arks_data", data_files=data_files) ``` load several datasets: ``` from datasets import load_dataset data_files = {"corpus": ["Pony/Pony_docs.jsonl", "Ring/Ring_docs.jsonl"]} dataset = load_dataset("xlangai/arks_data", data_files=data_files) ```# 数据集卡片：数据集名称 本数据集共包含4个子数据集，分别为Pony、Ring、ScipyM与TensorflowM。您可通过我们的论文**《ARKS：面向代码生成的知识汤主动检索》** (*Active Retrieval in Knowledge Soup for Code Generation*) 了解本数据集的详细信息。 论文arXiv链接：https://arxiv.org/abs/2402.12317 论文官方网站：https://arks-codegen.github.io # 数据集加载方法 加载单个数据集： python from datasets import load_dataset data_files = {"corpus": "Pony/Pony_docs.jsonl"} dataset = load_dataset("xlangai/arks_data", data_files=data_files) 加载多个数据集： python from datasets import load_dataset data_files = {"corpus": ["Pony/Pony_docs.jsonl", "Ring/Ring_docs.jsonl"]} dataset = load_dataset("xlangai/arks_data", data_files=data_files)

搜集汇总

背景与挑战

背景概述

该数据集名为arks_data，包含Pony、Ring、ScipyM和TensorflowM四个子数据集，专为代码生成任务设计，相关研究基于论文《ARKS: Active Retrieval in Knowledge Soup for Code Generation》。