theprint/TextAnalysis
收藏Hugging Face2026-03-24 更新2026-03-29 收录
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https://hf-mirror.com/datasets/theprint/TextAnalysis
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资源简介：
---
language:
- en
task_categories:
- question-answering
- text-generation
tags:
- synthetic
- llm-generated
- lmdatatools
- instruction-tuning
- qa-pairs
pretty_name: TextAnalysis
size_categories:
- n<1K
---
# TextAnalysis
> Generated with [LMDataTools](https://github.com/theprint/LMDataTools) using **DataBird**.
Generates high-quality Q&A pairs from topic lists with quality scoring.
TextAnalysis, generated by DataBird, consists of instructional prompts and detailed responses focused on literary writing techniques and narrative structure. The entries cover specific subjects such as differentiating between plot summary and thematic analysis, as well as intertwining a protagonist's emotional arc with external plot events to build narrative tension. This dataset is particularly useful for researchers and developers training large language models on creative writing guidance, literary critique, and educational content generation.
## Dataset Details
| | |
|---|---|
| **Entries** | 77 |
| **Created** | 2026-03-24 14:19 UTC |
| **Format** | JSON |
| **Tool** | DataBird |
## Dataset Structure
Each entry contains the following fields:
| Field | Description |
|-------|-------------|
| `instruction` | |
| `input` | |
| `output` | |
## Configuration
| Setting | Value |
|---------|-------|
| `dataset_name` | `TextAnalysis` |
| `topics` | `['finding the meaning and intention behind prose', 'storytelling and plotting', 'learning from text analysis']` |
| `full_auto` | `False` |
| `dataset_size` | `medium` |
| `clean_score` | `0.76` |
| `manual_perspectives` | `['an English major struggling with text analysis', 'an author who needs help with their next book', 'a technical writer who wants to start writing fiction']` |
| `include_reasoning` | `False` |
| `output_format` | `alpaca` |
## Usage
```python
import json
with open("TextAnalysis-0.08k-alpaca.json") as f:
data = json.load(f)
print(f"Loaded {len(data)} entries")
print(data[0])
```
---
_Created with [LMDataTools](https://github.com/theprint/LMDataTools)_
提供机构：
theprint
