academic-papers-dataset

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  pretty_name: Academic Papers Dataset
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  license: cc-by-4.0
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  ---
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- # 📚 Academic Papers Dataset
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-
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- This dataset accompanies the paper:
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-
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- [**“Evaluating LLM Judgment via Surgical Edits”** ](https://github.com/ktgiahieu/eval_llm_surgical_edits/raw/master/PAPER.pdf)
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-
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- GitHub Repository:
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- 🔗 [https://github.com/ktgiahieu/eval_llm_surgical_edits](https://github.com/ktgiahieu/eval_llm_surgical_edits)
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-
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-
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- ---
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-
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- ## 📝 Dataset Summary
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-
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- The **Academic Papers Dataset** contains structured, parsed scientific papers from:
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-
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- - **ICLR** → 2024, 2025
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- - **ICML** → 2024, 2025
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- - **NeurIPS** → 2021, 2022, 2023, 2024
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-
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- The dataset provides each paper in a standardized Markdown format, along with extracted figures.
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-
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- ---
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-
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- ## 📊 Dataset Statistics
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-
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- ### Conference Paper Counts
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-
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- ![Conference Paper Counts](images/stats_plot.png)
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-
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- | Conference | Accepted (Submitted) | Accepted (Parsed) | Rejected (Submitted) | Rejected (Parsed) |
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- |----------------|----------------------|--------------------|-----------------------|--------------------|
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- | ICLR 2024 | 2260 | 949 | 709 | 3438 |
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- | ICLR 2025 | 3704 | 1406 | 1078 | 4922 |
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- | ICML 2024 | 2944 | 1065 | 0 | N/A |
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- | ICML 2025 | 3260 | 1141 | 42 | N/A |
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- | NeurIPS 2021 | 2334 | 1116 | 46 | 133 |
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- | NeurIPS 2022 | 2671 | 1132 | 47 | 153 |
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- | NeurIPS 2023 | 3218 | 1205 | 0 | 176 |
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- | NeurIPS 2024 | 4035 | 1574 | 0 | 201 |
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-
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- **Total accepted (submitted):** 24,426
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- **Total accepted (parsed):** 8,588
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- **Total rejected (submitted):** 1,922
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- **Total rejected (parsed):** 9,023
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-
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- > **Note:** The paper submission counts for each conference were obtained using the publicly available statistics from **PaperCopilot** (https://papercopilot.com/).
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-
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- ---
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-
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- ## 🌍 Languages
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-
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- - **English (en)**
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- *(Official conference submissions from ICLR, ICML, NeurIPS)*
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-
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- ---
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- ## 🚀 How to Use This Dataset
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- Because the dataset contains **large ZIP archives and thousands of structured papers**, we recommend using **git-xet** for efficient cloning and storage.
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-
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- ### 1️⃣ Install `git-xet`
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- `git-xet` enables fast and storage-efficient checkout of large files from Hugging Face Datasets.
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-
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- Official docs: https://hf.co/docs/hub/git-xet
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- If you're on macOS:
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- ```bash
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- brew install git-xet
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- git xet install
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- ```
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- Linux:
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- ```bash
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- curl https://gitxet.com/install.sh | sudo bash
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- git xet install
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- ```
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-
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- ### 2️⃣ Clone the dataset repository
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-
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- ```bash
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- git clone https://huggingface.co/datasets/ihsaan-ullah/academic-papers-dataset
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- ```
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- This will download lightweight file pointers first, and `git-xet` will fetch the large paper archives on demand.
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- ### 📂 Dataset Structure
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- Inside the cloned repo, you will find per-conference ZIP files:
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- To extract:
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- ```bash
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- unzip {ConferenceName}.zip -d {ConferenceName}/
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- ```
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- After extraction, you will see:
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- ```
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- content/
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- └── parsed_arxiv/
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- └── {ConferenceName}/
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- └── accepted/
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- └── structured_paper_output/
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- ├── paper.md
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- ├── figures/
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- │ ├── fig1.png
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- │ ├── fig2.png
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- │ └── ...
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- └── rejected/
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- └── structured_paper_output/
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- ├── paper.md
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- ├── figures/
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- │ ├── fig1.png
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- │ ├── fig2.png
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- │ └── ...
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- ```
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- ### File Descriptions
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- | File | Purpose |
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- |------|---------|
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- | `paper.md` | Markdown representation of the full scientific paper |
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- | `figures/` | Extracted figures with their captions |
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-
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- ---
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-
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- ## 📜 Citation
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- TBA
 
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  pretty_name: Academic Papers Dataset
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  license: cc-by-4.0
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  ---
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+ # Academic Papers Dataset
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+
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+ This repository contains academic papers dataset, a combination of papers from the following venues:
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+ - ICLR 2024
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+ - ICLR 2025
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+ - ICML 2024
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+ - ICML 2025
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+ - NeurIPS 2021
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+ - NeurIPS 2022
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+ - NeurIPS 2023
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+ - NeurIPS 2024
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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