datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
iclr-wm-backup-public
ICLR Watermark Benchmark — backup overflow (public part)
Companion to the private repo Aak975/iclr-wm-backup, which reached its
storage quota. Together the two repos form ONE backup — every file exists in
exactly one of them, with the same layout:
archives/<sub>/part-0000 ... part-NNNN, MANIFEST.json
restore one archive: cat part-* | zstd -d | tar -x
MANIFEST.json = {"parts": N, "sha256": <whole-stream>, "total_bytes": M}
This public part holds only shareable image data… See the full description on the dataset page: https://huggingface.co/datasets/Aak975/iclr-wm-backup-public.cybergymTreeUQ
TreeUQ — Geographically-Tiled Bavaria EO Benchmark
TreeUQ is a large-scale Earth observation benchmark for tree species mapping and tree structure estimation (height, count, density, variance) over Bavaria, Germany.
Each 128×128 pixel patch (10 m resolution, EPSG:25832) contains:
Sentinel-2 — 4 seasonal composites (spring/summer/autumn/winter 2025), 10 bands
Sentinel-1 GRD — 4 seasonal composites, VV + VH polarisation, linear gamma-0
Tree species raster — Bavarian species… See the full description on the dataset page: https://huggingface.co/datasets/iclr2027kiwi/TreeUQ.iclr-2026ICLR2025ICLR-pdfs
Dataset Card for "ICLR-pdfs"
More Information needed
editlens_iclrICLR_2025_Accepted_PapersPaper Decision Results for ICLR 2025
ICLR 2025 Accepted Paper List
https://openreview.net/group?id=ICLR.cc/2025/Conference#tab-accept
ICLR2026reviewertoo-iclr2025
ICLR 2025 — Submissions, Reviews & Metareviews
ICLR 2025 submissions with metadata, the program decision, reviewer ratings, the
human peer-review/rebuttal discussion, and the human metareview. Sourced from
OpenReview. Two configs:
iclr2025_2k — the curated 1,962-paper evaluation subset used by
ReviewerToo (the exact set behind Meta-all 83.4%).
iclr2025_full — the full 11,672-paper ICLR 2025 submission pool.
Decision breakdown
iclr2025_2k
iclr2025_full… See the full description on the dataset page: https://huggingface.co/datasets/demfier/reviewertoo-iclr2025.openreview-iclr2025-peer-reviews-RAWopenreview-iclr-peer-reviewsiclr2026_statsICLR2025Openreview基于 20241208 爬取数据制作。
题目和摘要的中文翻译、关键词由 Qwen2.5-72B-Instruct 自动生成，可能存在漏误，大家酌情参考。
生成数据的代码见 repo
ICLR_Peer_Reviews_2026iclr2026_real_reviewsICLR2025reviewICLR2024-papersbenchname-project-level-code-completion
🥷 BenchName (Project-level code completion)
This is the benchmark for Project-level code completion task as part of the 🥷 BenchName benchmark.
Each datapoint contains the file for completion, a list of lines to complete with their categories (see the categorization below), and a repository snapshot that can be used to build the context.
All the repositories are published under permissive licenses (MIT, Apache-2.0, BSD-3-Clause, and BSD-2-Clause). The datapoints can be removed upon… See the full description on the dataset page: https://huggingface.co/datasets/anon-iclr-submission/benchname-project-level-code-completion.ICLR_Peer_Reviews_2022openreview-iclr2024-peer-reviews-RAWiclr_2025iclr_2026iclr-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.benchname-bug-localization
🥷 BenchName (Bug localization)
This is the benchmark for the Bug localization task as part of the
🥷 BenchName benchmark.
The bug localization problem can be formulated as follows: given an issue with a bug description and a repository snapshot in a state where the bug is reproducible, identify the files within the repository that need to be modified to address the reported bug.
The dataset provides all the required components for evaluation of bug localization approaches in… See the full description on the dataset page: https://huggingface.co/datasets/anon-iclr-submission/benchname-bug-localization.ICLR2025-enrichedICLR-pdfs-linebreaks
Dataset Card for "ICLR-pdfs-linebreaks"
More Information needed
iclr-decisions-full
Dataset Card for "iclr-decisions-full"
More Information needed
ICLR-2023-Accepted-Papers
ICLR 2023 International Conference on Learning Representations 2023 Accepted Paper Meta Info Dataset
This dataset is collect from the ICLR 2023 OpenReview website (https://openreview.net/group?id=ICLR.cc/2023/Conference#tab-accept-oral) as well as the arxiv website DeepNLP paper arxiv (http://www.deepnlp.org/content/paper/iclr2023). For researchers who are interested in doing analysis of ICLR 2023 accepted papers and potential trends, you can use the already cleaned up json files.… See the full description on the dataset page: https://huggingface.co/datasets/DeepNLP/ICLR-2023-Accepted-Papers.ROOTS
ROOTS
ROOTS contains 43,922,135 audio-language conversations across four taxonomy tiers. Audio is supplied by the source datasets below.
Quick start
from datasets import load_dataset
dataset = load_dataset("iclr2027anon/ROOTS", split="train", streaming=True)
row = next(iter(dataset))
Use the audio guide to locate and load each conversation's clips in order.
Columns
Columns
Meaning
id
Conversation ID: roots_ followed by 32 hexadecimal… See the full description on the dataset page: https://huggingface.co/datasets/iclr2027anon/ROOTS.