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01princeton-nlp /SWE-bench_VerifiedDataset Summary SWE-bench Verified is a subset of 500 samples from the SWE-bench test set, which have been human-validated for quality. SWE-bench is a dataset that tests systems’ ability to solve GitHub issues automatically. See this post for more details on the human-validation process. The dataset collects 500 test Issue-Pull Request pairs from popular Python repositories. Evaluation is performed by unit test verification using post-PR behavior as the reference solution. The original… See the full description on the dataset page: https://huggingface.co/datasets/princeton-nlp/SWE-bench_Verified.textn<1K387 likes275k downloads2y agoHugging Face02SWE-bench /SWE-smith SWE-smith Dataset Code • Paper • Site [12/14/2025] NOTE: We will no longer actively update this dataset. While this dataset is still functional and usable, we recommend you use the `SWE-bench/SWE-smith-[lang]` datasets. For better maintainability and ease-of-use, we are maintaining language-specific datasets in lieu of this mono-repo. The SWE-smith Dataset is a training dataset of 50137 task instances from 128 GitHub repositories, collected using the SWE-smith toolkit.… See the full description on the dataset page: https://huggingface.co/datasets/SWE-bench/SWE-smith.texttext-generation10K<n<100K57 likes222k downloads9mo agoHugging Face03SWE-bench /SWE-bench_VerifiedDataset Summary SWE-bench Verified is a subset of 500 samples from the SWE-bench test set, which have been human-validated for quality. SWE-bench is a dataset that tests systems’ ability to solve GitHub issues automatically. See this post for more details on the human-validation process. The dataset collects 500 test Issue-Pull Request pairs from popular Python repositories. Evaluation is performed by unit test verification using post-PR behavior as the reference solution. The original… See the full description on the dataset page: https://huggingface.co/datasets/SWE-bench/SWE-bench_Verified.textn<1K162 likes125k downloads1mo agoHugging Face04nebius /SWE-rebench-V2 SWE-rebench-V2 Dataset Summary SWE-rebench-V2 is a curated dataset of software-engineering tasks derived from real GitHub issues and pull requests. The dataset contains 32,079 samples covering Python, Go, TypeScript, JavaScript, Rust, Java, PHP, Kotlin, Julia, Elixir, Scala, Swift, Dart, C, C++, C#, R, Clojure, OCaml, and Lua. For log parser functions, base Dockerfiles, and the prompts used, please see https://github.com/SWE-rebench/SWE-rebench-V2The detailed technical… See the full description on the dataset page: https://huggingface.co/datasets/nebius/SWE-rebench-V2.texttext-generation10K<n<100K61 likes111k downloads4mo agoHugging Face05princeton-nlp /SWE-bench_Lite Dataset Summary SWE-bench Lite is subset of SWE-bench, a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 300 test Issue-Pull Request pairs from 11 popular Python. Evaluation is performed by unit test verification using post-PR behavior as the reference solution. The dataset was released as part of SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Want to run inference now? This dataset only contains the… See the full description on the dataset page: https://huggingface.co/datasets/princeton-nlp/SWE-bench_Lite.textn<1K66 likes98k downloads2y agoHugging Face06nebius /SWE-rebench Dataset Summary SWE-rebench is a large-scale dataset designed to support training and evaluation of LLM-based software engineering (SWE) agents, building upon and expanding our earlier release, SWE-bench-extra. It is constructed using a fully automated pipeline that continuously extracts real-world interactive SWE tasks from GitHub repositories at scale, as detailed in our paper SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software… See the full description on the dataset page: https://huggingface.co/datasets/nebius/SWE-rebench.textother10K<n<100K73 likes89k downloads9mo agoHugging Face07SWE-bench-Live /SWE-bench-Live A brand-new, continuously updated SWE-bench-like dataset powered by an automated curation pipeline. For the official data release page, please see microsoft/SWE-bench-Live. Dataset Summary SWE-bench-Live is a live benchmark for issue resolving, designed to evaluate an AI system’s ability to complete real-world software engineering tasks. Thanks to our automated dataset curation pipeline, we plan to update SWE-bench-Live on a monthly basis to provide the… See the full description on the dataset page: https://huggingface.co/datasets/SWE-bench-Live/SWE-bench-Live.text1K<n<10K9 likes87k downloads18d agoHugging Face08klieret /swe-bench-dummy-test-datasettextn<1K0 likes75k downloads1y agoHugging Face09SWE-bench /SWE-smith-py SWE-smith Dataset Code • Paper • Site As of 12/14/2025, SWE-smith: Python contains 50908 task instances from 131 GitHub repositories The SWE-smith Dataset is the largest open source dataset for training software engineering agents. All SWE-smith task instances come with an executable environment. To learn more about how to use this dataset to train Language Models for Software Engineering, please refer to the documentation. texttext-generation10K<n<100K7 likes63k downloads9mo agoHugging Face10SWE-bench /SWE-bench_Multilingual SWE-bench Multilingual Dataset Summary SWE-bench Multilingual is a dataset that tests systems' ability to resolve real-world GitHub issues across a broad range of programming languages. The original SWE-bench is Python-only; this dataset extends the same task format to 9 languages drawn from 41 popular repositories. The dataset collects 300 test Issue-Pull Request pairs. Evaluation is performed by unit test verification, using post-PR behavior as the reference solution. The… See the full description on the dataset page: https://huggingface.co/datasets/SWE-bench/SWE-bench_Multilingual.textn<1K28 likes57k downloads1mo agoHugging Face11ScaleAI /SWE-bench_Pro Dataset Summary SWE-Bench Pro is a challenging, enterprise-level dataset for testing agent ability on long-horizon software engineering tasks. Paper: https://static.scale.com/uploads/654197dc94d34f66c0f5184e/SWEAP_Eval_Scale%20(9).pdf See the related evaluation Github: https://github.com/scaleapi/SWE-bench_Pro-os Dataset Structure We follow SWE-Bench Verified (https://huggingface.co/datasets/SWE-bench/SWE-bench_Verified) in terms of dataset structure, with several… See the full description on the dataset page: https://huggingface.co/datasets/ScaleAI/SWE-bench_Pro.textn<1K180 likes55k downloads7mo agoHugging Face12SWE-Gym /SWE-Gym-RawSWE-Gym Raw contains 64,689 instances sourced from 358 Python repos. Most of the instances there doesn't have associated python environment configured and is not validated with SWE-Bench verification process. If you are working to scale training environments, these instances might be helpful. Otherwise, please take a look at SWE-Gym and SWE-Gym Lite , why are ready to be used for agent training. Get started at project page github.com/SWE-Gym/SWE-Gym Repository Frequency… See the full description on the dataset page: https://huggingface.co/datasets/SWE-Gym/SWE-Gym-Raw.text10K<n<100K1 likes54k downloads2y agoHugging Face13princeton-nlp /SWE-bench Dataset Summary SWE-bench is a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 2,294 Issue-Pull Request pairs from 12 popular Python repositories. Evaluation is performed by unit test verification using post-PR behavior as the reference solution. The dataset was released as part of SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Want to run inference now? This dataset only contains the problem_statement… See the full description on the dataset page: https://huggingface.co/datasets/princeton-nlp/SWE-bench.text10K<n<100K146 likes51k downloads2y agoHugging Face14SWE-bench /SWE-bench_Lite Dataset Summary SWE-bench Lite is subset of SWE-bench, a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 300 test Issue-Pull Request pairs from 11 popular Python. Evaluation is performed by unit test verification using post-PR behavior as the reference solution. The dataset was released as part of SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Want to run inference now? This dataset only contains the… See the full description on the dataset page: https://huggingface.co/datasets/SWE-bench/SWE-bench_Lite.textn<1K25 likes44k downloads1mo agoHugging Face15nebius /SWE-bench-extraNote: This dataset has an improved and significantly larger successor: SWE-rebench. Dataset Summary SWE-bench Extra is a dataset that can be used to train or evaluate agentic systems specializing in resolving GitHub issues. It is based on the methodology used to build SWE-bench benchmark and includes 6,415 Issue-Pull Request pairs sourced from 1,988 Python repositories. Dataset Description The SWE-bench Extra dataset supports the development of software engineering agents… See the full description on the dataset page: https://huggingface.co/datasets/nebius/SWE-bench-extra.text1K<n<10K47 likes41k downloads1y agoHugging Face16SWE-Gym /SWE-GymSWE-Gym contains 2438 instances sourced from 11 Python repos, following SWE-Bench data collection procedure. Get started at project page github.com/SWE-Gym/SWE-Gym text1K<n<10K29 likes36k downloads1y agoHugging Face17nvidia /Open-SWE-Traces Open-SWE-Traces: Advancing Distillation for Software Engineering Agents 🚨 What's New [09/26] Release v1.2: Added new agent trajectories generated by Qwen3.8-27B for mini-swe-agent. Trajectories for OpenCode and Claude Code harnesses will be released soon. [08/26] Release v1.1: Added new agent trajectories generated by DeepSeek-V4-Flash and Qwen3.6-27B across OpenHands, SWE-agent, and mini-swe-agent harnesses. [06/21] Release v1.0: Released 207k agent… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Open-SWE-Traces.text100K<n<1M131 likes32k downloads3d agoHugging Face18nebius /SWE-rebench-V2-PRs SWE-rebench-V2-PRs Dataset Summary SWE-rebench-V2-PRs is a large-scale dataset of real-world GitHub pull requests collected across multiple programming languages, intended for training and evaluating code-generation and software-engineering agents. The dataset contains 126,300 samples covering Go, Python, JavaScript, TypeScript, Rust, Java, C, C++, Julia, Elixir, Kotlin, PHP, Scala, Clojure, Dart, OCaml, and other languages. For log parser functions, base… See the full description on the dataset page: https://huggingface.co/datasets/nebius/SWE-rebench-V2-PRs.texttext-generation100K<n<1M15 likes29k downloads1mo agoHugging Face19SWE-bench-Live /MultiLangThis is the multi - language version of SWE-bench-Live (repository_link ; paper_link). We crawled GitHub issues as SWE tasks for coding agents to solve. We used RepoLaunch (repository_link) to setup docker images as the problem-solving sandboxes for each instance. Each split is task set of one language. Each split is filtered by prompting LLM -- a task instance is discarded if LLM cannot infer test patch from problem statement or problem statement contains solution (in NL or code).… See the full description on the dataset page: https://huggingface.co/datasets/SWE-bench-Live/MultiLang.text1K<n<10K0 likes25k downloads2d agoHugging Face20SWE-bench /SWE-bench Dataset Summary SWE-bench is a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 2,294 Issue-Pull Request pairs from 12 popular Python repositories. Evaluation is performed by unit test verification using post-PR behavior as the reference solution. The dataset was released as part of SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Want to run inference now? This dataset only contains the… See the full description on the dataset page: https://huggingface.co/datasets/SWE-bench/SWE-bench.text1K<n<10K37 likes20k downloads1mo agoHugging Face21SWE-bench /SWE-bench_Multimodal SWE-bench Multimodal Dataset Summary SWE-bench Multimodal is a dataset that tests systems' ability to resolve real-world GitHub issues in visual software domains. Unlike the original SWE-bench, which is Python-only and text-only, every task instance here comes from a JavaScript or TypeScript repository and carries at least one image asset — a screenshot, a screen recording, a diagram, or a rendering of incorrect output. The dataset collects 612 Issue-Pull Request pairs from 17… See the full description on the dataset page: https://huggingface.co/datasets/SWE-bench/SWE-bench_Multimodal.textn<1K13 likes19k downloads1mo agoHugging Face22DCAgent2 /swe-lancer0 likes16k downloads10mo agoHugging Face23prima02 /SWE-smith-pythontext10K<n<100K0 likes16k downloads10mo agoHugging Face24SWE-bench /SWE-smith-javatext1K<n<10K0 likes16k downloads7mo agoHugging Face25ricdomolm /SWE-smith2text10K<n<100K0 likes16k downloads1y agoHugging Face26SWE-bench /SWE-smith-trajectories SWE-smith Trajectories Code • Paper • Site This dataset contains the 5017 trajectories we fine-tuned Qwen 2.5 Coder Instruct on, leading to SWE-agent-LM-32B, a coding LM agent that achieve 40.2% on SWE-bench Verified (no verifiers or multiple rollouts, just 1 attempt per instance). Trajectories were generated by running SWE-agent + Claude 3.7 Sonnet on task instances from the SWE-smith dataset. texttext-generation10K<n<100K79 likes14k downloads1y agoHugging Face27SWE-Gym /SWE-Gym-LiteSWE-Gym Lite contains 230 instances sourced from 11 Python repos, following SWE-Bench Lite data collection procedure. Get started at project page github.com/SWE-Gym/SWE-Gym textn<1K3 likes13k downloads2y agoHugging Face28ByteDance-Seed /Multi-SWE-bench 👋 Overview This repository contains the Multi-SWE-bench dataset, introduced in Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving, to address the lack of multilingual benchmarks for evaluating LLMs in real-world code issue resolution. Unlike existing Python-centric benchmarks (e.g., SWE-bench), this framework spans 7 languages (Java, TypeScript, JavaScript, Go, Rust, C, and C++) with 1,632 high-quality instances, curated from 2,456 candidates by 68 expert… See the full description on the dataset page: https://huggingface.co/datasets/ByteDance-Seed/Multi-SWE-bench.text-generation42 likes13k downloads3mo agoHugging Face29NovaSky-AI /Multi-SWE-benchtext1K<n<10K0 likes12k downloads1y agoHugging Face30wildflow /sweet-corals Coral reefs 3D photogrammetry Description We 3D mapped multiple coral reefs in Indonesia (following this protocol) and sharing all our data with you 🤗 This dataset currently contains 90,289 (352GB) of raw GoPro images and some colour-corrected images. Additional data - including camera poses, reconstructed 3D point clouds, 3D polygonal meshes, orthomosaics, annotations, and 3D Gaussian Splatting models - will be added soon. We just decided share raw data right now, and… See the full description on the dataset page: https://huggingface.co/datasets/wildflow/sweet-corals.image1K<n<10K28 likes11k downloads1y agoHugging Face

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