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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 Face02arvindh75 /Long-Horizon-Execution Long Horizon Execution This project contains the dataset accompanying the paper "The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs" Abstract Does continued scaling of large language models (LLMs) yield diminishing returns? Real-world value often stems from the length of task an agent can complete. We start this work by observing the simple but counterintuitive fact that marginal gains in single-step accuracy can compound into exponential… See the full description on the dataset page: https://huggingface.co/datasets/arvindh75/Long-Horizon-Execution.texttext-generationn<1K16 likes293 downloads1y agoHugging Face03ToolGym /long-horizon-traj long-horizon-traj Long-horizon agent trajectories with multi-step planning and constraints Dataset Description This dataset contains agent trajectories for multi-turn tool use tasks, including reasoning traces, tool calls, and responses. Dataset Structure The dataset is organized by model name, with each model having separate JSONL files for different experimental passes. long-horizon-traj/ ├── model-1/ │ ├── pass@1.jsonl │ ├── pass@2.jsonl │ └──… See the full description on the dataset page: https://huggingface.co/datasets/ToolGym/long-horizon-traj.text-generation1K<n<10K0 likes289 downloads9mo agoHugging Face04malaiwah /k2-horizon-tiny-cpu-repro-v1 K2-Horizon MoVA tiny random CPU fixture Complete untrained K2HorizonForCausalLM, not Moonshot Kimi despite the K2 name. Architecture source: IFM/K2-Horizon-MoVA-36B-A4B at 05cab0a4d7150c1c460a000b37ff40cc1af2feaa. No pretrained weights, original tokenizer, training data, paid GPU or cloud compute used. Complete text-only K2HorizonForCausalLM, not Kimi: three-layer dense prefix followed by two real MoVA+MoE layers, grouped RMSNorm, sigmoid top-k routing with selection-only bias… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/k2-horizon-tiny-cpu-repro-v1.tabulartext-generationn<1K0 likes245 downloads18d agoHugging Face05masculine /long-horizon ToolGym Long-Horizon Dataset Dataset Description This dataset contains long-horizon trajectories and evaluations for the ToolGym benchmark. Dataset Structure long-horizon/ ├── traj/ # Agent trajectories (JSONL format) │ ├── gpt-5.2/ │ │ ├── pass@1.jsonl │ │ ├── pass@2.jsonl │ │ └── pass@3.jsonl │ ├── claude-opus-4.5/ │ └── ... └── eval/ # Evaluation results (JSONL format) ├── claude-opus-4.5/ │ ├──… See the full description on the dataset page: https://huggingface.co/datasets/masculine/long-horizon.text-generation1K<n<10K0 likes219 downloads9mo agoHugging Face06ToolGym /short-horizon-eval short-horizon-eval Evaluation results for short-horizon agent trajectories Dataset Description This dataset contains evaluation results for agent trajectories, including quality assessments and performance metrics. Dataset Structure The dataset is organized by model name, with each model having separate JSONL files for different experimental passes. short-horizon-eval/ ├── model-1/ │ ├── pass@1.jsonl │ ├── pass@2.jsonl │ └── pass@3.jsonl ├── model-2/ │… See the full description on the dataset page: https://huggingface.co/datasets/ToolGym/short-horizon-eval.text-generation1K<n<10K0 likes183 downloads9mo agoHugging Face07ToolGym /short-horizon-traj short-horizon-traj Short-horizon agent trajectories showing reasoning traces and tool use Dataset Description This dataset contains agent trajectories for multi-turn tool use tasks, including reasoning traces, tool calls, and responses. Dataset Structure The dataset is organized by model name, with each model having separate JSONL files for different experimental passes. short-horizon-traj/ ├── model-1/ │ ├── pass@1.jsonl │ ├── pass@2.jsonl │ └──… See the full description on the dataset page: https://huggingface.co/datasets/ToolGym/short-horizon-traj.text-generation1K<n<10K0 likes163 downloads9mo agoHugging Face08cozzyde /long-horizon-memorization ComposeCL Datasets This repository contains the three 100-task memorization datasets from the paper Continual Learning Mechanisms Compose for Long-Horizon Memorization (arXiv: 2609.06986). Project page: https://compose-cl.github.io/ Code: https://github.com/cozheyuanzhangde/compose-cl Datasets Dataset Path Tasks Items/task Construction Symbol-QA data/synthetic_qa/symbol_qa 100 100 random six-character keys mapped to random four-character values… See the full description on the dataset page: https://huggingface.co/datasets/cozzyde/long-horizon-memorization.text-generation3 likes162 downloads8d agoHugging Face09ToolGym /long-horizon-eval long-horizon-eval Evaluation results for long-horizon agent performance Dataset Description This dataset contains evaluation results for agent trajectories, including quality assessments and performance metrics. Dataset Structure The dataset is organized by model name, with each model having separate JSONL files for different experimental passes. long-horizon-eval/ ├── model-1/ │ ├── pass@1.jsonl │ ├── pass@2.jsonl │ └── pass@3.jsonl ├── model-2/ │ └──… See the full description on the dataset page: https://huggingface.co/datasets/ToolGym/long-horizon-eval.tabulartext-generation1K<n<10K0 likes87 downloads9mo agoHugging Face10masculine /short-horizon ToolGym Short-Horizon Dataset Dataset Description This dataset contains short-horizon trajectories and evaluations for the ToolGym benchmark. Dataset Structure short-horizon/ ├── traj/ # Agent trajectories (JSONL format) │ ├── claude-3.5/ │ │ ├── pass@1.jsonl │ │ ├── pass@2.jsonl │ │ └── pass@3.jsonl │ ├── deepseek-v3.2/ │ └── ... └── eval/ # Evaluation results (JSONL format) ├── claude-3.5/ │ ├──… See the full description on the dataset page: https://huggingface.co/datasets/masculine/short-horizon.text-generation1K<n<10K0 likes76 downloads9mo agoHugging Face11k-w-k /Long-Horizon-Legal-Reasoning Long-Horizon Legal Reasoning with Dispute Resolution A benchmark for long-horizon legal reasoning over Ontario employment-law disputes. Each sample presents the materials of a real-world-style dispute and asks a model to produce a full legal analysis, which is scored against an expert gold answer with an LLM-as-judge. The benchmark isolates two axes: how the case is presented (a chronological Timeline vs. raw Documents) and which retrieval/tool approach the model uses (zero-shot… See the full description on the dataset page: https://huggingface.co/datasets/k-w-k/Long-Horizon-Legal-Reasoning.text-generation0 likes70 downloads2mo agoHugging Face12ClarusC64 /mid-horizon-drift-v0.1b What this dataset tests Mid-range trends can lie. Mix shifts. Definitions shift. Leading indicators speak first. Why it exists Models over-trust blended mid-horizon metrics. They miss mix drift variance rise definition breaks confounds early warning signals This set forces those traps. Data format Each row contains mid_horizon_context user_message drift_pressure constraints failure_modes_to_avoid target_behaviors gold_checklist Feed the… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/mid-horizon-drift-v0.1b.texttext-generationn<1K0 likes27 downloads8mo agoHugging Face13ClarusC64 /long-horizon-drift-v0.1c What this dataset tests Long arcs bend. Past stability can hide future risk. Why it exists Long plans fail when drift accumulates. This set checks whether you detect slow shifts reject frozen baselines project forward risk set milestones Data format Each row contains long_horizon_context user_message drift_pressure constraints failure_modes_to_avoid target_behaviors gold_checklist Feed the model long_horizon_context user_message… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/long-horizon-drift-v0.1c.texttext-generationn<1K0 likes27 downloads8mo agoHugging Face14ClarusC64 /ai-goal-failure-horizon-and-realignment-routing-v0.1What this dataset is Predicts how soon goal drift becomes a hard failure Names the realignment window before collapse Forces an intervention choice with triggers and monitoring Inputs setting env_shift_event observed_drift_markers goal_representation_summary behavioral_deviation_summary system_constraints intervention_options Gold fields in the CSV failure_mode estimated_failure_horizon_steps realignment_window_steps gold_intervention_choice realignment_trigger_conditions… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-goal-failure-horizon-and-realignment-routing-v0.1.tabulartext-generationn<1K0 likes7 downloads8mo agoHugging Face

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