118 lines
3.7 KiB
Markdown
118 lines
3.7 KiB
Markdown
# DrivelologyNarrativeWriting
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## Overview
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Drivelology Narrative Writing evaluates models' ability to generate detailed descriptions illustrating the implicit narrative of "drivelology" text - linguistic utterances that are syntactically coherent yet pragmatically paradoxical, emotionally loaded, or rhetorically subversive.
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## Task Description
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- **Task Type**: Narrative Generation and Evaluation
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- **Input**: Drivelology text sample
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- **Output**: Generated narrative description explaining implicit meaning
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- **Domain**: Linguistic analysis, narrative generation
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## Key Features
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- Tests narrative explanation generation ability
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- Requires understanding of layered linguistic meanings
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- LLM-as-judge evaluation against reference narratives
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- Likert scale scoring (1-5) for match quality
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- Tests depth of linguistic and cultural understanding
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## Evaluation Notes
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- Default configuration uses **0-shot** evaluation
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- Uses LLM-as-judge for evaluation
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- Metrics: Average Likert score (1-5 scale)
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- Evaluates relevance, accuracy, depth, and detail of generated narratives
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## Properties
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| Property | Value |
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|----------|-------|
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| **Benchmark Name** | `drivel_writing` |
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| **Dataset ID** | [extraordinarylab/drivel-hub](https://modelscope.cn/datasets/extraordinarylab/drivel-hub/summary) |
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| **Paper** | N/A |
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| **Tags** | `Knowledge`, `Reasoning` |
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| **Metrics** | `bert_score`, `gpt_score` |
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| **Default Shots** | 0-shot |
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| **Evaluation Split** | `test` |
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## Data Statistics
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| Metric | Value |
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|--------|-------|
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| Total Samples | 600 |
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| Prompt Length (Mean) | 313.18 chars |
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| Prompt Length (Min/Max) | 256 / 717 chars |
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## Sample Example
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**Subset**: `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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## Prompt Template
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**Prompt Template:**
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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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## Usage
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### Using 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 # Remove this line for formal evaluation
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```
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### Using 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, # Remove this line for formal evaluation
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)
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run_task(task_cfg=task_cfg)
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```
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