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.iclr2026_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
iclr2026_real_reviewsICLR2025reviewiclr-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-results
BenchName (raw results)
These are the raw results from the BenchName benchmark suite, as well as the corresponding model predictions.
Please use the subset dropdown menu to select the necessary data relating to our six benchmarks:
🤗 Library-based code generation
🤗 CI builds repair
🤗 Project-level code completion
🤗 Commit message generation🤗 Bug localization
🤗 Module summarization
ICLR26_anonymousiclr2025_synthetic_reviews