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license: cc-by-4.0
pretty_name: AI Conference & Journal Papers
configs:
- config_name: aaai
data_files:
- split: "2026"
path: browse/aaai/2026.parquet
- split: "2025"
path: browse/aaai/2025.parquet
- split: "2024"
path: browse/aaai/2024.parquet
- split: "2023"
path: browse/aaai/2023.parquet
- config_name: acl
data_files:
- split: "2025"
path: browse/acl/2025.parquet
- split: "2024"
path: browse/acl/2024.parquet
- split: "2023"
path: browse/acl/2023.parquet
- config_name: cvpr
data_files:
- split: "2026"
path: browse/cvpr/2026.parquet
- split: "2025"
path: browse/cvpr/2025.parquet
- split: "2024"
path: browse/cvpr/2024.parquet
- split: "2023"
path: browse/cvpr/2023.parquet
- config_name: eccv
data_files:
- split: "2024"
path: browse/eccv/2024.parquet
- split: "2022"
path: browse/eccv/2022.parquet
- split: "2020"
path: browse/eccv/2020.parquet
- config_name: emnlp
data_files:
- split: "2025"
path: browse/emnlp/2025.parquet
- split: "2024"
path: browse/emnlp/2024.parquet
- split: "2023"
path: browse/emnlp/2023.parquet
- config_name: iccv
data_files:
- split: "2025"
path: browse/iccv/2025.parquet
- split: "2023"
path: browse/iccv/2023.parquet
- config_name: iclr
data_files:
- split: "2026"
path: browse/iclr/2026.parquet
- split: "2025"
path: browse/iclr/2025.parquet
- split: "2024"
path: browse/iclr/2024.parquet
- split: "2023"
path: browse/iclr/2023.parquet
- config_name: icml
data_files:
- split: "2025"
path: browse/icml/2025.parquet
- split: "2024"
path: browse/icml/2024.parquet
- split: "2023"
path: browse/icml/2023.parquet
- config_name: ijcai
data_files:
- split: "2025"
path: browse/ijcai/2025.parquet
- split: "2024"
path: browse/ijcai/2024.parquet
- split: "2023"
path: browse/ijcai/2023.parquet
- config_name: interspeech
data_files:
- split: "2025"
path: browse/interspeech/2025.parquet
- split: "2024"
path: browse/interspeech/2024.parquet
- split: "2023"
path: browse/interspeech/2023.parquet
- config_name: jmlr
data_files:
- split: "2025"
path: browse/jmlr/2025.parquet
- split: "2024"
path: browse/jmlr/2024.parquet
- split: "2023"
path: browse/jmlr/2023.parquet
- split: "2022"
path: browse/jmlr/2022.parquet
- config_name: naacl
data_files:
- split: "2025"
path: browse/naacl/2025.parquet
- split: "2024"
path: browse/naacl/2024.parquet
- config_name: neurips
data_files:
- split: "2025"
path: browse/neurips/2025.parquet
- split: "2024"
path: browse/neurips/2024.parquet
- split: "2023"
path: browse/neurips/2023.parquet
- config_name: wacv
data_files:
- split: "2026"
path: browse/wacv/2026.parquet
- split: "2025"
path: browse/wacv/2025.parquet
- split: "2024"
path: browse/wacv/2024.parquet
- split: "2023"
path: browse/wacv/2023.parquet
---
# AI Conference & Journal Papers
Searchable metadata for papers from top AI venues (NeurIPS, ICML, ICLR, CVPR, ICCV, WACV, ACL, EMNLP, NAACL).
- `papers.parquet`: the full dataset (all fields, all venues).
- Per-venue browse views: pick a venue in **Subset**, a year in **Split**.
### Dataset Structure
- `ClosedUni/papercli-papers` (main entrypoint): Contains the full index metadata parquet (`papers.parquet`) and the per-venue browse parquet views (`browse/`).
- `ClosedUni/papercli-papers-[venue]`: Contains the sharded PDF files of that specific venue (no metadata parquet).
### PDF Storage
PDF files are sharded across separate datasets by venue to keep repository sizes optimal:
- `ClosedUni/papercli-papers-[venue]` (e.g. `ClosedUni/papercli-papers-cvpr` for CVPR PDFs)
To download a mirrored PDF:
```python
from huggingface_hub import hf_hub_download
repo_id = f"ClosedUni/papercli-papers-{row['venue'].lower()}"
path = hf_hub_download(
repo_id=repo_id,
filename=row["hf_pdf_path"],
repo_type="dataset",
)
```
Built with [papercli](https://github.com/Keithsel/papercli). |