growth-cadet/mod-signals-deparment-574test_strip_evaleval

--- dataset_info: features: - name: uuid dtype: string - name: ats_id dtype: string - name: ats dtype: string - name: context dtype: string - name: cleaned_context dtype: string - name: token_size dtype: int64 - name: __index_level_0__ dtype: int64 - name: bs4_text dtype: string - name: gpt-4-turbo_raw_output dtype: string - name: gpt-4-turbo_response struct: - name: deparment struct: - name: inferred dtype: bool - name: jobrole_deparment dtype: string - name: focus_areas list: - name: description dtype: string - name: subject dtype: string - name: industries list: - name: description dtype: string - name: subject dtype: string - name: products_and_technologies list: - name: description dtype: string - name: subject dtype: string - name: gpt-4-turbo_cost dtype: float64 - name: prompt dtype: string - name: raw_output dtype: string - name: pass_pydantic dtype: int64 - name: pass_eval_embedd dtype: int64 splits: - name: train num_bytes: 88347695 num_examples: 574 download_size: 33427601 dataset_size: 88347695 configs: - config_name: default data_files: - split: train path: data/train-* ---The dataset includes multiple fields such as uuid, ats_id, ats, etc., each with its specific data type. It also contains structured fields like gpt-4-turbo_response, which includes multiple sub-fields and lists. The dataset is divided into a training set (train) with 574 examples.

原始信息汇总

数据集概述

数据集特征

• uuid: 字符串类型
• ats_id: 字符串类型
• ats: 字符串类型
• context: 字符串类型
• cleaned_context: 字符串类型
• token_size: 整数类型
• index_level_0: 整数类型
• bs4_text: 字符串类型
• gpt-4-turbo_raw_output: 字符串类型
• gpt-4-turbo_response: 结构体类型，包含以下字段：
  • department:
    • inferred: 布尔类型
    • jobrole_deparment: 字符串类型
  • focus_areas: 列表，包含以下字段：
    • description: 字符串类型
    • subject: 字符串类型
  • industries: 列表，包含以下字段：
    • description: 字符串类型
    • subject: 字符串类型
  • products_and_technologies: 列表，包含以下字段：
    • description: 字符串类型
    • subject: 字符串类型
• gpt-4-turbo_cost: 浮点数类型
• prompt: 字符串类型
• raw_output: 字符串类型
• pass_pydantic: 整数类型
• pass_eval_embedd: 整数类型

数据集分割

• train:
  • num_bytes: 88347695
  • num_examples: 574

数据集大小

• download_size: 33427601
• dataset_size: 88347695

配置

• config_name: default
• data_files:
  • split: train
  • path: data/train-*