Rusiru-erandaka/oche_agent_dataset
收藏Hugging Face2026-04-10 更新2026-04-12 收录
下载链接:
https://hf-mirror.com/datasets/Rusiru-erandaka/oche_agent_dataset
下载链接
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资源简介:
---
license: mit
dataset_info:
features:
- name: trace_id
dtype: large_string
- name: created_at
dtype: large_string
- name: task
dtype: large_string
- name: task_difficulty
dtype: large_string
- name: task_niche
dtype: large_string
- name: expected_tools
dtype: large_string
- name: likely_failure_points
dtype: large_string
- name: freshness_source
dtype: large_string
- name: generation_strategy
dtype: large_string
- name: trace_json
dtype: large_string
- name: outcome_status
dtype: large_string
- name: total_steps
dtype: int64
- name: total_tool_calls
dtype: int64
- name: tools_used
dtype: large_string
- name: failure_occurred
dtype: bool
- name: failure_reason
dtype: large_string
- name: final_answer
dtype: large_string
- name: duration_seconds
dtype: float64
- name: labeler_model
dtype: large_string
- name: constitution_version
dtype: large_string
- name: labeled_at
dtype: large_string
- name: step_level_scores
dtype: large_string
- name: task_completion
dtype: int64
- name: tool_use_efficiency
dtype: int64
- name: reasoning_coherence
dtype: int64
- name: safety_compliance
dtype: int64
- name: overall_quality
dtype: float64
- name: reward_signal
dtype: float64
- name: supervisor_verdict
dtype: large_string
- name: verdict_reason
dtype: large_string
- name: dual_labeled
dtype: bool
- name: agent_framework
dtype: large_string
- name: agent_model
dtype: large_string
- name: world_context_date
dtype: large_string
- name: schema_version
dtype: large_string
splits:
- name: train
num_bytes: 14869
num_examples: 3
download_size: 39199
dataset_size: 14869
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
许可证:MIT许可证
数据集信息(dataset_info):
特征:
- 追踪ID(trace_id):数据类型为大字符串(large_string)
- 创建时间(created_at):数据类型为大字符串(large_string)
- 任务(task):数据类型为大字符串(large_string)
- 任务难度(task_difficulty):数据类型为大字符串(large_string)
- 任务细分领域(task_niche):数据类型为大字符串(large_string)
- 预期工具(expected_tools):数据类型为大字符串(large_string)
- 潜在失败点(likely_failure_points):数据类型为大字符串(large_string)
- 更新来源(freshness_source):数据类型为大字符串(large_string)
- 生成策略(generation_strategy):数据类型为大字符串(large_string)
- 追踪JSON(trace_json):数据类型为大字符串(large_string)
- 结果状态(outcome_status):数据类型为大字符串(large_string)
- 总步骤数(total_steps):数据类型为64位整数(int64)
- 总工具调用次数(total_tool_calls):数据类型为64位整数(int64)
- 已使用工具(tools_used):数据类型为大字符串(large_string)
- 是否发生失败(failure_occurred):数据类型为布尔值(bool)
- 失败原因(failure_reason):数据类型为大字符串(large_string)
- 最终答案(final_answer):数据类型为大字符串(large_string)
- 持续时长(秒)(duration_seconds):数据类型为64位浮点数(float64)
- 标注模型(labeler_model):数据类型为大字符串(large_string)
- 准则版本(constitution_version):数据类型为大字符串(large_string)
- 标注时间(labeled_at):数据类型为大字符串(large_string)
- 步骤层级得分(step_level_scores):数据类型为大字符串(large_string)
- 任务完成度(task_completion):数据类型为64位整数(int64)
- 工具使用效率(tool_use_efficiency):数据类型为64位整数(int64)
- 推理连贯性(reasoning_coherence):数据类型为64位整数(int64)
- 安全合规性(safety_compliance):数据类型为64位整数(int64)
- 整体质量(overall_quality):数据类型为64位浮点数(float64)
- 奖励信号(reward_signal):数据类型为64位浮点数(float64)
- 监督者判定(supervisor_verdict):数据类型为大字符串(large_string)
- 判定原因(verdict_reason):数据类型为大字符串(large_string)
- 是否双标注(dual_labeled):数据类型为布尔值(bool)
- 智能体框架(agent_framework):数据类型为大字符串(large_string)
- 智能体模型(agent_model):数据类型为大字符串(large_string)
- 世界上下文日期(world_context_date):数据类型为大字符串(large_string)
- 架构版本(schema_version):数据类型为大字符串(large_string)
分割集:
- 名称:train(训练集),字节大小:14869,样本数量:3
下载大小:39199,数据集总大小:14869
配置:
- 配置名称:default(默认配置),数据文件:
- 分割集为train,路径为data/train-*
提供机构:
Rusiru-erandaka



