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01IntelligenceLab /Long-Horizon-Terminal-Bench Long-Horizon Terminal-Bench (LHTB) LHTB is a 46-task benchmark for measuring how well LLM agents sustain useful work in a containerized terminal over hundreds of steps. Unlike short-horizon coding benchmarks where an agent writes one artifact and stops, LHTB drops the agent into a stateful environment and grades it with hidden, rebuild-from-artifact verifiers — self-reported progress does not count. 📝 Blog: https://zli12321.github.io/LHTB/ 🏆 Leaderboard:… See the full description on the dataset page: https://huggingface.co/datasets/IntelligenceLab/Long-Horizon-Terminal-Bench.documenttext-generationn<1K136 likes13k downloads9d agoHugging Face02ia03 /terminal-bench Terminal-Bench Dataset This dataset contains tasks from Terminal-Bench, a benchmark for evaluating AI agents in real terminal environments. Each task is packaged as a complete, self-contained archive that preserves the exact directory structure, binary files, Docker configurations, and test scripts needed for faithful reproduction. The archive column contains a gzipped tarball of the entire task directory. Dataset Overview Terminal-Bench evaluates AI agents on… See the full description on the dataset page: https://huggingface.co/datasets/ia03/terminal-bench.tabulartext-generationn<1K3 likes3.6k downloads1y agoHugging Face03yoonholee /terminalbench-trajectories Terminal-Bench 2.0 Trajectories Full agent trajectories from Terminal-Bench 2.0, a benchmark that evaluates AI coding agents on real-world terminal tasks. Each row is one trial: an agent attempting a task, with the complete step-by-step trace of messages, tool calls, and observations. Explorer: yoonholee.com/web-apps/terminal-bench Quick start from datasets import load_dataset import json ds = load_dataset("yoonholee/terminalbench-trajectories", split="train") #… See the full description on the dataset page: https://huggingface.co/datasets/yoonholee/terminalbench-trajectories.tabulartext-generation10K<n<100K15 likes1.2k downloads7mo agoHugging Face04XUO /terminal-bench Terminal-Bench Dataset This dataset contains tasks from Terminal-Bench, a benchmark for evaluating AI agents in real terminal environments. Each task is packaged as a complete, self-contained archive that preserves the exact directory structure, binary files, Docker configurations, and test scripts needed for faithful reproduction. The archive column contains a gzipped tarball of the entire task directory. Dataset Overview Terminal-Bench evaluates AI agents on… See the full description on the dataset page: https://huggingface.co/datasets/XUO/terminal-bench.tabulartext-generationn<1K0 likes241 downloads9mo agoHugging Face05Agent625 /terminal-bench-2 Terminal-Bench 2.0 ###################################################################### # _____ _ _ ______________ # # |_ _|__ _ __ _ __ ___ (_)_ __ __ _| | || || # # | |/ _ \ '__| '_ ` _ \| | '_ \ / _` | | || > || # # | | __/ | | | | | | | | | | | (_| | | || || # # |_|\___|_| |_| |_| |_|_|_| |_|\__,_|_| ||____________|| # # ____ _ ____… See the full description on the dataset page: https://huggingface.co/datasets/Agent625/terminal-bench-2.tabulartext-generationn<1K0 likes72 downloads5mo agoHugging Face06AlienKevin /terminal-bench-2-sft-traces Terminal-Bench 2.0 — SFT Trajectory Comparison Per-trial agent trajectories from running Terminal-Bench 2.0 against three supervised fine-tuned 32B-parameter checkpoints. Generated to debug a 70%-degeneration failure mode in marin-32b-base SFT and posted alongside the diagnosis in marin-community/marin#4760. Each split is filtered to the trials referenced in the canonical per-shard samples_*.jsonl (the eval that wrote .executor_status=SUCCESS). Trial directories from prior crashed… See the full description on the dataset page: https://huggingface.co/datasets/AlienKevin/terminal-bench-2-sft-traces.tabulartext-generationn<1K1 likes65 downloads5mo agoHugging Face07lisayan /rlvr-bash-terminal-bench rlvr-bash-terminal-bench RLVR (Reinforcement Learning with Verifiable Rewards) dataset for bash scripting, generated from Terminal-Bench tasks. Stats Metric Value Total samples 1,120 Unique tasks 88 Avg samples/task 12.7 Average reward 0.249 Perfect solutions (reward=1.0) 10.4% Partial solutions (0<reward<1) 28.8% Zero reward 60.8% Tasks fully solved 13.6% Format { "task_id": "string", "prompt": "string", "completion":… See the full description on the dataset page: https://huggingface.co/datasets/lisayan/rlvr-bash-terminal-bench.tabulartext-generation1K<n<10K0 likes42 downloads8mo agoHugging Face

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