114 lines
3.6 KiB
Markdown
114 lines
3.6 KiB
Markdown
# DrivelologyNarrativeWriting
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## 概述
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Drivelology 叙事写作评估模型生成详细描述的能力，以阐释“drivelology”文本中隐含的叙事——这类语言表达在句法上连贯，但在语用上却具有悖论性、情感负载性或修辞颠覆性。
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## 任务描述
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- **任务类型**：叙事生成与评估
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- **输入**：Drivelology 文本样本
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- **输出**：生成的叙事描述，解释文本的隐含意义
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- **领域**：语言学分析、叙事生成
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## 核心特点
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- 测试模型生成叙事解释的能力
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- 要求理解多层次的语言含义
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- 使用 LLM-as-judge 方法与参考叙事进行对比评估
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- 采用李克特量表（1-5 分）对匹配质量评分
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- 考察模型在语言和文化理解方面的深度
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## 评估说明
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- 默认配置使用 **0-shot** 评估
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- 采用 LLM-as-judge 进行评估
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- 指标：平均李克特得分（1-5 分制）
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- 评估生成叙事的相关性、准确性、深度和细节
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## 属性
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| 属性 | 值 |
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|----------|-------|
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| **基准测试名称** | `drivel_writing` |
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| **数据集ID** | [extraordinarylab/drivel-hub](https://modelscope.cn/datasets/extraordinarylab/drivel-hub/summary) |
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| **论文** | N/A |
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| **标签** | `Knowledge`, `Reasoning` |
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| **指标** | `bert_score`, `gpt_score` |
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| **默认示例数** | 0-shot |
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| **评估划分** | `test` |
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## 数据统计
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| 指标 | 值 |
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|--------|-------|
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| 总样本数 | 600 |
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| 提示词长度（平均） | 313.18 字符 |
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| 提示词长度（最小/最大） | 256 / 717 字符 |
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## 样例示例
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**子集**: `narrative-writing-english`
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```json
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{
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"input": [
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{
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"id": "f47953a9",
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"content": [
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{
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"text": "You need to first read and understand the text given. Generate a detailed description to illustrate the implicit narrative of the text.\n\nPlease provide your response in English, with a clear and comprehensive explanation of the narrative.\n\nText: 後天的努力比什麼都重要，所以今天和明天休息。"
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}
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]
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}
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],
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"target": "This creates a paradoxical tone, as it acknowledges the value of diligence but simultaneously advocates for procrastination. The underlying message could reflect a lighthearted take on balancing work and rest or even poking fun at the tendency to delay responsibilities.",
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"id": 0,
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"group_id": 0,
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"metadata": {
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"text": "後天的努力比什麼都重要，所以今天和明天休息。",
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"reference_narrative": "This creates a paradoxical tone, as it acknowledges the value of diligence but simultaneously advocates for procrastination. The underlying message could reflect a lighthearted take on balancing work and rest or even poking fun at the tendency to delay responsibilities."
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}
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}
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```
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## 提示模板
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**提示模板：**
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```text
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You need to first read and understand the text given. Generate a detailed description to illustrate the implicit narrative of the text.
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Please provide your response in English, with a clear and comprehensive explanation of the narrative.
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Text: {text}
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```
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## 使用方法
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### 使用 CLI
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```bash
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evalscope eval \
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--model YOUR_MODEL \
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--api-url OPENAI_API_COMPAT_URL \
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--api-key EMPTY_TOKEN \
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--datasets drivel_writing \
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--limit 10 # 正式评估时请删除此行
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```
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### 使用 Python
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```python
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from evalscope import run_task
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from evalscope.config import TaskConfig
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task_cfg = TaskConfig(
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model='YOUR_MODEL',
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api_url='OPENAI_API_COMPAT_URL',
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api_key='EMPTY_TOKEN',
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datasets=['drivel_writing'],
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limit=10, # 正式评估时请删除此行
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)
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run_task(task_cfg=task_cfg)
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``` |