datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
paperswithcode-data-evaluation-tables
Process data from paperswithcode
See https://huggingface.co/datasets/pwc-archive/files/tree/main.
Download and unzip evaluation tables:
curl -L -O "https://huggingface.co/datasets/pwc-archive/files/resolve/main/jul-28-evaluation-tables.json.gz"
gunzip jul-28-evaluation-tables.json.gz
Install jq.
See https://jqlang.org/.
If on Debian/Ubuntu, install with sudo apt-get install jq.
Example jq to extract:
jq -r '
def process(parent):
.task as $current_task |
(if parent then… See the full description on the dataset page: https://huggingface.co/datasets/felixleungsc/paperswithcode-data-evaluation-tables.iclr-rejected-papers-with-code-1k
Rejected ICLR Papers with Reviews and Code
This dataset contains 1,000 rejected ICLR submissions from 2018–2026. Each row
has the OpenReview submission metadata and reviews, the rejected submission PDF,
and a commit-pinned archive of a matched public GitHub repository.
This collection was built directly from OpenReview. It does not use a
third-party ICLR review dataset.
Project repository: TheAppliedScientist
Contents
1,000 unique rejected OpenReview submissions… See the full description on the dataset page: https://huggingface.co/datasets/Vidushee/iclr-rejected-papers-with-code-1k.paperswithcode
A cleaned dataset from paperswithcode.com
Last dataset update: July 2023
This is a cleaned up dataset optained from paperswithcode.com through their API service. It represents a set of around 56K carefully categorized papers into 3K tasks and 16 areas. The papers contain arXiv and NIPS IDs as well as title, abstract and other meta information.
It can be used for training text classifiers that concentrate on the use of specific AI and ML methods and frameworks.
Contents… See the full description on the dataset page: https://huggingface.co/datasets/J0nasW/paperswithcode.iclr-papers-with-code-1k
ICLR Papers with Accessible Code
A dataset of 1,051 papers from ICLR (2020-2026) with verified code repositories and complete peer reviews from all reviewers.
Dataset Summary
This dataset contains rejected and borderline-accepted papers from ICLR (International Conference on Learning Representations) with accessible code and full peer review text.
Contents:
1,051 papers total
3,900 reviews (average 3.71 per paper)
944 rejected (90%) + 107 poster-tier accepted… See the full description on the dataset page: https://huggingface.co/datasets/Vidushee/iclr-papers-with-code-1k.neurips-2025-paperswithcode-artifactsPapersWithCode_FAISS_Indexpaperswithcode-aspectsPapers with aspects from paperswithcode.com datasetpapers_with_code_stemformatted_papers_with_code_stem