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--- |
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annotations_creators: |
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- expert-generated |
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- machine-generated |
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language_creators: |
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- expert-generated |
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- found |
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languages: |
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- en |
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license: cc-by-4.0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K<n<10K |
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source_datasets: |
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- original |
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task_categories: |
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- text-generation |
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- text-classification |
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task_ids: |
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- future-work-generation |
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- scientific-section-classification |
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pretty_name: ACL Future Work Dataset (2023–2024) |
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tags: |
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- scientific-articles |
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- future-work |
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- NLP |
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- ACL |
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- NeurIPS |
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- LLM-evaluation |
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language: |
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- en |
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--- |
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# 🧠 ACL Future Work Dataset (2023–2024) |
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This dataset consists of structured scientific paper data from ACL 2023 and ACL 2024 proceedings. Each paper is parsed into sections (e.g., Introduction, Related Work, Conclusion), and a **"Future Work"** section is automatically or manually extracted from the parsed text by searching for relevant future-oriented sentences in reverse section order. |
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## 📁 Dataset Structure |
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Each JSON file (`acl23_future_cleaned_final.json` and `acl24_future_cleaned_final.json`) has the following format: |
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```json |
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{ |
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"ACL23_1.pdf": { |
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"abstractText": "Abstract of the paper...", |
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"sections": [ |
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{ |
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"heading": "1 Introduction", |
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"text": "..." |
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}, |
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... |
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{ |
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"heading": "Future Work", |
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"text": "We plan to extend this method by..." |
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} |
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], |
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"title": "Paper Title", |
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"year": 2023 |
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}, |
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... |
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} |
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## 📜 License |
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This dataset is licensed under the [Creative Commons Attribution 4.0 International License (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). |
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You are free to use, share, and adapt the dataset as long as you give appropriate credit. |
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### ✍️ Curated by |
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Ibrahim Al Azher, Northern Illinois University, DATALab |
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