README.md

---
license: cc-by-4.0
pretty_name: AI Conference & Journal Papers - NeurIPS PDFs
---

# AI Conference & Journal Papers - NeurIPS PDF Storage

This repository is a **storage shard** containing the raw PDF files for **NeurIPS** papers. It is part of the larger **AI Conference & Journal Papers** dataset project.

⚠️ **Important:** This repository *only* contains the sharded PDF binary files. It does **not** contain the searchable metadata (titles, abstracts, authors, etc.). 

To search, browse, or filter papers, you must use the **Main Parent Repository**:
👉 **Main Dataset & Metadata:** [GenAI4ELab/papercli-papers](https://huggingface.co/datasets/GenAI4ELab/papercli-papers)

---

## How to Use & Download PDFs

Since the metadata and the file paths are hosted in the main repository, the standard way to download a PDF from this venue is to read the metadata from the parent repo first, and then fetch the file from this shard.

### Python Example

Make sure you have `huggingface_hub` installed:
```bash
pip install huggingface_hub 
```
You can use the following script to load the metadata for NeurIPS and download a specific PDF mirror:

```python
from huggingface_hub import hf_hub_download

repo_id = f"ClosedUni/papercli-papers-{row['neurips'].lower()}" # Points to this repository
path = hf_hub_download(
    repo_id=repo_id,
    filename=row["hf_pdf_path"],
    repo_type="dataset",
)

```

## 🔗 Dataset Hub & All PDF Shards

To make it easy to navigate across the entire project, here are the links to the main registry and all sharded PDF repositories:

* 🏠 **Main Registry (Metadata & Parquet Views):** [GenAI4ELab/papercli-papers](https://huggingface.co/datasets/GenAI4ELab/papercli-papers)

### 📂 Explore Other PDF Shards By Venue:

| STT | Venue / Dataset | Repository Link |
| :---: | :--- | :--- |
| 1 | 🏠 **Main Registry** (Metadata) | [GenAI4ELab/papercli-papers](https://huggingface.co/datasets/GenAI4ELab/papercli-papers) |
| 2 | 📂 **NeurIPS** | [GenAI4ELab/papercli-papers-neurips](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-neurips) |
| 3 | 📂 **AAAI** | [GenAI4ELab/papercli-papers-aaai](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-aaai) |
| 4 | 📂 **EMNLP** | [GenAI4ELab/papercli-papers-emnlp](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-emnlp) |
| 5 | 📂 **CVPR** | [GenAI4ELab/papercli-papers-cvpr](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-cvpr) |
| 6 | 📂 **ICCV** | [GenAI4ELab/papercli-papers-iccv](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-iccv) |
| 7 | 📂 **ICML** | [GenAI4ELab/papercli-papers-icml](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-icml) |
| 8 | 📂 **ACL** | [GenAI4ELab/papercli-papers-acl](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-acl) |
| 9 | 📂 **IJCAI** | [GenAI4ELab/papercli-papers-ijcai](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-ijcai) |
| 10 | 📂 **ECCV** | [GenAI4ELab/papercli-papers-eccv](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-eccv) |
| 11 | 📂 **ICLR** | [GenAI4ELab/papercli-papers-iclr](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-iclr) |
| 12 | 📂 **NAACL** | [GenAI4ELab/papercli-papers-naacl](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-naacl) |
| 13 | 📂 **Interspeech** | [GenAI4ELab/papercli-papers-interspeech](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-interspeech) |
| 14 | 📂 **WACV** | [GenAI4ELab/papercli-papers-wacv](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-wacv) |
| 15 | 📂 **JMLR** | [GenAI4ELab/papercli-papers-jmlr](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-jmlr) |

---

## 🛠️ Credits & Tools

This dataset was compiled and structured using **[papercli](https://github.com/Keithsel/papercli)**, an open-source tool designed to index, mirror, and shard academic papers from top-tier AI venues efficiently.

If you find this mirror useful, please consider starring the parent repository and the original `papercli` project!