task_categories:question-answering language:en license:cc-by-2.0 size_categories:n<1K format:imagefolder modality:image library:datasets library:mlcroissant region:us code
---
license: cc-by-2.0
task_categories:
- question-answering
language:
- en
tags:
- code
pretty_name: BuriLab Books QA Dataset
size_categories:
- 10K<n<100K
---
# BuriLab/books

**Description**  
This repository contains two subsets of data for fine-tuning models on two tasks:

1. **Pure Texts**: Text-only data for language-model fine-tuning (next-word prediction).
2. **Q&A with Images**: Paired question/answer data, each referencing an image.

---

## Repository Structure

```bash
BuriLab/
└── books/
    ├── README.md
    │   (Explain dataset purpose, contributor guidelines, and usage instructions)
    │
    ├── pure_texts/
    │   ├── pure_text_sample.json
    │   │   (Template showing the desired format for plain-text data)
    │   │
    │   └── [contributor_folder]/
    │       ├── [any_filename].json
    │       └── ...
    │           (Each contributor creates a folder here and places their own .json files inside)
    │
    └── qna_images/
        ├── data_sample.json
        │   (Template showing the desired format for Q&A+image data)
        │
        ├── img/
        │   (Contains shared or example images used by data_sample.json)
        │
        └── [contributor_folder]/
            ├── [images_folder]/
            │   └── ...
            │
            ├── [any_filename].json
            └── ...
                (Each contributor creates a folder here, places their own .json files, and any associated images in a subfolder)
```