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README.md
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---
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license: cc-by-4.0
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pretty_name: AI Conference & Journal Papers - ICLR PDFs
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---
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# AI Conference & Journal Papers - ICLR PDF Storage
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This repository is a **storage shard** containing the raw PDF files for **ICLR** papers. It is part of the larger **AI Conference & Journal Papers** dataset project.
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⚠️ **Important:** This repository *only* contains the sharded PDF binary files. It does **not** contain the searchable metadata (titles, abstracts, authors, etc.).
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To search, browse, or filter papers, you must use the **Main Parent Repository**:
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👉 **Main Dataset & Metadata:** [GenAI4ELab/papercli-papers](https://huggingface.co/datasets/GenAI4ELab/papercli-papers)
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---
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## How to Use & Download PDFs
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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.
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### Python Example
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Make sure you have `huggingface_hub` installed:
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```bash
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pip install huggingface_hub
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```
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You can use the following script to load the metadata for ICLR and download a specific PDF mirror:
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```python
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from huggingface_hub import hf_hub_download
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repo_id = f"ClosedUni/papercli-papers-{row['iclr'].lower()}" # Points to this repository
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path = hf_hub_download(
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repo_id=repo_id,
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filename=row["hf_pdf_path"],
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repo_type="dataset",
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)
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```
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## 🔗 Dataset Hub & All PDF Shards
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To make it easy to navigate across the entire project, here are the links to the main registry and all sharded PDF repositories:
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* 🏠 **Main Registry (Metadata & Parquet Views):** [GenAI4ELab/papercli-papers](https://huggingface.co/datasets/GenAI4ELab/papercli-papers)
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### 📂 Explore Other PDF Shards By Venue:
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| STT | Venue / Dataset | Repository Link |
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| :---: | :--- | :--- |
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| 1 | 🏠 **Main Registry** (Metadata) | [GenAI4ELab/papercli-papers](https://huggingface.co/datasets/GenAI4ELab/papercli-papers) |
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| 2 | 📂 **NeurIPS** | [GenAI4ELab/papercli-papers-neurips](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-neurips) |
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| 3 | 📂 **AAAI** | [GenAI4ELab/papercli-papers-aaai](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-aaai) |
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| 4 | 📂 **EMNLP** | [GenAI4ELab/papercli-papers-emnlp](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-emnlp) |
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| 5 | 📂 **CVPR** | [GenAI4ELab/papercli-papers-cvpr](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-cvpr) |
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| 6 | 📂 **ICCV** | [GenAI4ELab/papercli-papers-iccv](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-iccv) |
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| 7 | 📂 **ICML** | [GenAI4ELab/papercli-papers-icml](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-icml) |
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| 8 | 📂 **ACL** | [GenAI4ELab/papercli-papers-acl](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-acl) |
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| 9 | 📂 **IJCAI** | [GenAI4ELab/papercli-papers-ijcai](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-ijcai) |
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| 10 | 📂 **ECCV** | [GenAI4ELab/papercli-papers-eccv](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-eccv) |
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| 11 | 📂 **ICLR** | [GenAI4ELab/papercli-papers-iclr](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-iclr) |
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| 12 | 📂 **NAACL** | [GenAI4ELab/papercli-papers-naacl](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-naacl) |
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| 13 | 📂 **Interspeech** | [GenAI4ELab/papercli-papers-interspeech](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-interspeech) |
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| 14 | 📂 **WACV** | [GenAI4ELab/papercli-papers-wacv](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-wacv) |
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| 15 | 📂 **JMLR** | [GenAI4ELab/papercli-papers-jmlr](https://huggingface.co/datasets/GenAI4ELab/papercli-papers-jmlr) |
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---
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## 🛠️ Credits & Tools
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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.
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If you find this mirror useful, please consider starring the parent repository and the original `papercli` project!
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