internlm
Datasets
All datasets matching “internlm”WildClawBenchWildClawBench
Hard, practical, end-to-end evaluation for AI agents — in the wild.
WildClawBench is an agent benchmark that tests what actually matters: can an AI agent do real work, end-to-end, without hand-holding?
We drop agents into a live OpenClaw environment — the same open-source personal AI assistant that real users rely on daily — and throw 60 original tasks at them: clipping goal highlights from a football match, negotiating meeting times over multi-round… See the full description on the dataset page: https://huggingface.co/datasets/internlm/WildClawBench.SWE-Fixer-Train-110K
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
📃 Paper |
🚀 GitHub
SWE-Fixer is a simple yet effective solution for addressing real-world GitHub issues by training open-source LLMs. It features a streamlined retrieve-then-edit pipeline with two core components: a code file retriever and a code editor.
This repo holds the data SWE-Fixer-Train-110K we curated for SWE-Fixer training.
For more information, please visit our project page.… See the full description on the dataset page: https://huggingface.co/datasets/internlm/SWE-Fixer-Train-110K.WildClawBench-HarborWildClawBench-Harbor
This repository is the WildClawBench benchmark converted to the Harbor task format, so that all 60 tasks can be run directly with harbor run against any Harbor-supported agent (Claude Code, OpenHands, Codex CLI, custom agents, ...).
WildClawBench is a benchmark for real-world, long-horizon agent evaluation: 60 hand-built tasks that require multi-step tool use (10–60+ calls), multimodal processing (video, images, documents), coding on real repositories, and… See the full description on the dataset page: https://huggingface.co/datasets/internlm/WildClawBench-Harbor.Lean-Workbook
Lean Workbook
This dataset is about contest-level math problems formalized in Lean 4.
Our dataset contains 57231 problems in the split of Lean Workbook and 82893 problems in the split of Lean Workbook Plus. We provide the natural language statement, answer, formal statement, and formal proof (if available) for each problem. These data can support autoformalization model training and searching for proofs.
We open-source our code and our data.
Our test environment is based on Lean… See the full description on the dataset page: https://huggingface.co/datasets/internlm/Lean-Workbook.WildClawBench-TrajectoriesWildClawBench Trajectories
Complete OpenClaw agent trajectories from the WildClawBench evaluation — every message, reasoning block, tool call, and tool result from real long-horizon agent runs, released for independent verification, side-by-side comparison, and trace-level analysis.
Each evaluated model covers the full 60-task suite, and the collection is continuously updated as new models join the leaderboard. The directories under sessions/ always reflect the current model roster.… See the full description on the dataset page: https://huggingface.co/datasets/internlm/WildClawBench-Trajectories.Agent-FLAN
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
This page holds the dataset proposed in Agent-FLAN, which consists of AgentInstruct, Toolbench, and customized negative agent samples as its source datasets.
✨ Introduction
[🤗 HuggingFace]
[📃 Paper]
[🌐 Project Page]
Open-sourced Large Language Models (LLMs) have achieved great success in various NLP tasks, however, they are still far inferior to API-based models when acting as… See the full description on the dataset page: https://huggingface.co/datasets/internlm/Agent-FLAN.