five

CoIR-Retrieval/codefeedback-st-queries-corpus

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Hugging Face2024-09-12 更新2024-06-29 收录
下载链接:
https://hf-mirror.com/datasets/CoIR-Retrieval/codefeedback-st-queries-corpus
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资源简介:
--- dataset_info: features: - name: _id dtype: string - name: partition dtype: string - name: text dtype: string - name: title dtype: string - name: language dtype: string - name: meta_information struct: - name: resource dtype: string splits: - name: queries num_bytes: 118682563 num_examples: 156526 - name: corpus num_bytes: 246229656 num_examples: 156526 download_size: 181151457 dataset_size: 364912219 --- Employing the CoIR evaluation framework's dataset version, utilize the code below for assessment: ```python import coir from coir.data_loader import get_tasks from coir.evaluation import COIR from coir.models import YourCustomDEModel model_name = "intfloat/e5-base-v2" # Load the model model = YourCustomDEModel(model_name=model_name) # Get tasks #all task ["codetrans-dl","stackoverflow-qa","apps","codefeedback-mt","codefeedback-st","codetrans-contest","synthetic- # text2sql","cosqa","codesearchnet","codesearchnet-ccr"] tasks = get_tasks(tasks=["codetrans-dl"]) # Initialize evaluation evaluation = COIR(tasks=tasks,batch_size=128) # Run evaluation results = evaluation.run(model, output_folder=f"results/{model_name}") print(results) ```
提供机构:
CoIR-Retrieval
原始信息汇总

数据集概述

数据集名称

codefeedback-st-queries-corpus

数据集特征

  • _id: 字符串类型
  • partition: 字符串类型
  • text: 字符串类型
  • title: 字符串类型
  • language: 字符串类型
  • meta_information: 结构体类型
    • resource: 字符串类型

数据集分割

  • queries:
    • 字节数: 118682563
    • 样本数: 156526
  • corpus:
    • 字节数: 246229656
    • 样本数: 156526

数据集大小

  • 下载大小: 181151457 字节
  • 数据集总大小: 364912219 字节
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