README.md

---
license: cc-by-4.0
datasets:
- acl_future_work
- neurips_future_work
---

# 📚 ACL & NeurIPS Future Work Dataset

This dataset contains curated "Future Work" sections from ACL and NeurIPS research papers. It is designed to support tasks like scientific document understanding, future work generation, citation intent analysis, and summarization of research directions.

## 📦 Dataset Details

### 🔍 Dataset Description

This dataset includes:

- `ACL_2012.csv` to `ACL_2024.csv`: Tabular data where each row is a paper and each column represents a paper section (e.g., Abstract, Introduction, Future Work).
- `NeurIPS_2021.csv`, `NeurIPS_2022.csv`: Similar format as ACL `.csv` files.
- `ACL_2023.json`, `ACL_2024.json`: Each file contains paper-wise parsed output including section headers and content. "Future Work" sections are extracted and added if found.

Each record is either a paper (in `.csv`) or a structured section-by-section breakdown of a paper (in `.json`). If a paper does not contain a "Future Work" section, it has been excluded from the `.json`.

- **Languages:** English
- **Total Papers (after filtering):** Varies by year (see `Statistics` section on HF for breakdown)
- **Data format:** `.csv`, `.json`

### ✍️ Curated by
Ibrahim Al Azher, Northern Illinois University, DATALab

## 📑 Dataset Structure

### For `.csv` Files:

Each file contains:
- Columns: `'title'`, `'abstract'`, `'introduction'`, `'related work'`, ..., `'future work'`
- Rows: One paper per row
- Year-specific files (`ACL_2012.csv` to `ACL_2024.csv`)

### For `.json` Files:

Each key is a paper ID (e.g., `"ACL23_1.pdf"`) and its value includes:
```json
{
  "abstractText": "string",
  "sections": [
    { "heading": "Introduction", "text": "..." },
    ...
    { "heading": "Future Work", "text": "..." }
  ],
  "title": "string",
  "year": "int"
}