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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01mukarram360 /hvac-error-codes HVAC Bench Error Code Dataset Error codes from HVAC equipment sold in the United States, United Kingdom, and Europe, as published by HVAC Bench. Each record gives the manufacturer, the code, the product family the definition applies to, a plain-language meaning, the checks an owner can safely make, the point at which a technician is needed, and the date the definition was last checked against manufacturer documentation. Codes are specific to a product family and are not… See the full description on the dataset page: https://huggingface.co/datasets/mukarram360/hvac-error-codes.textquestion-answeringn<1K0 likes108 downloads10d agoHugging Face02Neura-parse /quantum-error-mitigation-and-benchmarking Neura Parse — Quantum Error Mitigation, Characterization & Benchmarking A pre-fault-tolerance, code-backed vertical on getting trustworthy answers from noisy hardware and rigorously measuring device quality: error-mitigation techniques, characterization/tomography protocols, and benchmarking suites. Runnable Mitiq, pyGSTi, and Qiskit Experiments pipelines with honest sampling-overhead and bias/variance accounting — the practitioner and research toolkit the general dataset… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-error-mitigation-and-benchmarking.tabulartext-generation100K<n<1M0 likes65 downloads3mo agoHugging Face03yifanyu /CORRECT-Error CORRECT-Error A benchmark of 2,226 error-injected multi-agent-system (MAS) trajectories with step-level decisive-error labels, released alongside the paper: CORRECT: Condensed Error Recognition via Knowledge Transfer in Multi-agent Systems. Yifan Yu, Moyan Li, Shaoyuan Xu, Jinmiao Fu, Xinhai Hou, Fan Lai, Bryan Wang. ICML 2026. PMLR 306. CORRECT-Error covers 7 MAS tasks × 2 trajectory-generator models: Dataset gpt-4o-mini gpt-5-nano Total arc 100 204 304 hotpot 69… See the full description on the dataset page: https://huggingface.co/datasets/yifanyu/CORRECT-Error.tabulartext-classification1K<n<10K0 likes52 downloads4mo agoHugging Face04emgena /omnimcp_type_error_mypy_resolver_teaser 🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE: Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20! 📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_type_error_mypy_resolver_teaser.texttext-generationn<1K0 likes52 downloads9d agoHugging Face05PARC-DATASETS /error-detection-positives error-detection-positives This dataset is part of the PARC (Premise-Annotated Reasoning Collection) and contains mathematical reasoning problems with error annotations. This dataset combines positives samples from multiple domains. Domain Breakdown gsm8k: 50 samples math: 53 samples metamathqa: 93 samples orca_math: 96 samples Features Each example contains: data_source: The domain/source of the problem (gsm8k, math, metamathqa, orca_math) question: The… See the full description on the dataset page: https://huggingface.co/datasets/PARC-DATASETS/error-detection-positives.texttext-generationn<1K0 likes25 downloads1y agoHugging Face06PARC-DATASETS /error-detection-negatives error-detection-negatives This dataset is part of the PARC (Premise-Annotated Reasoning Collection) and contains mathematical reasoning problems with error annotations. This dataset combines negatives samples from multiple domains. Domain Breakdown gsm8k: 57 samples math: 44 samples metamathqa: 59 samples orca_math: 54 samples Features Each example contains: data_source: The domain/source of the problem (gsm8k, math, metamathqa, orca_math) question: The… See the full description on the dataset page: https://huggingface.co/datasets/PARC-DATASETS/error-detection-negatives.texttext-generationn<1K0 likes21 downloads1y agoHugging Face07PARC-DATASETS /error-detection-positives_perturbed error-detection-positives_perturbed This dataset is part of the PARC (Premise-Annotated Reasoning Collection) and contains mathematical reasoning problems with error annotations. This dataset combines positives_perturbed samples from multiple domains. Domain Breakdown gsm8k: 48 samples math: 42 samples metamathqa: 72 samples orca_math: 85 samples Features Each example contains: data_source: The domain/source of the problem (gsm8k, math, metamathqa… See the full description on the dataset page: https://huggingface.co/datasets/PARC-DATASETS/error-detection-positives_perturbed.texttext-generationn<1K0 likes18 downloads1y agoHugging Face08thatgirltomiie /granite-base-model-errors Granite-1B Base Model Errors Overview This dataset contains 10 examples where the Granite-4.0-1B-Base language model produces incorrect or awkward outputs. Each row includes: id: a unique identifier for each example input: the prompt given to the model expected_output: what the correct answer or completion should be model_output: what the model actually produced The dataset demonstrates common blind spots of a base causal language model, including factual errors, logic… See the full description on the dataset page: https://huggingface.co/datasets/thatgirltomiie/granite-base-model-errors.texttext-generationn<1K0 likes14 downloads7mo agoHugging Face09mmirac /3dx-users-guide-generated-errors-sampletextquestion-answeringn<1K0 likes12 downloads1y agoHugging Face105digit /Funny-Windows-Errors-Windows-Biblestexttext-classificationn<1K0 likes9 downloads1y agoHugging Face

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