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datasets

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

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
sizeAllUnder 1K1K – 10K100K – 1M1M – 10M
formatAllParquetJSONCSVWebDataset
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01yatin-superintelligence /Edge-Agent-Reasoning-WebSearch-260K Edge Agent Reasoning WebSearch 260K Abstract The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning. Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K.texttext-generation100K<n<1M52 likes5.7k downloads7mo agoHugging Face02BlueIsGreen /Edge-Agent-Reasoning-WebSearch-260K Edge Agent Reasoning WebSearch 260K Abstract The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning. Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/BlueIsGreen/Edge-Agent-Reasoning-WebSearch-260K.texttext-generation100K<n<1M11 likes597 downloads7mo agoHugging Face03DEMIRUNC /Edge-Agent-Reasoning-WebSearch-260K Edge Agent Reasoning WebSearch 260K Abstract The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning. Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/DEMIRUNC/Edge-Agent-Reasoning-WebSearch-260K.texttext-generation100K<n<1M0 likes542 downloads6mo agoHugging Face04Torenn /Edge-Agent-Reasoning-WebSearch-260K Edge Agent Reasoning WebSearch 260K Abstract The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning. Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/Torenn/Edge-Agent-Reasoning-WebSearch-260K.texttext-generation100K<n<1M1 likes451 downloads7mo agoHugging Face05ppenner /edge-agent-reasoning-websearch-260k Edge Agent Reasoning WebSearch 260K Abstract The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning. Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/ppenner/edge-agent-reasoning-websearch-260k.texttext-generation100K<n<1M0 likes345 downloads4mo agoHugging Face06JACKYS999 /Edge-Agent-Reasoning-WebSearch-260K Edge Agent Reasoning WebSearch 260K Abstract The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning. Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/JACKYS999/Edge-Agent-Reasoning-WebSearch-260K.texttext-generation100K<n<1M0 likes269 downloads5mo agoHugging Face07svryn /Edge-Agent-Reasoning-WebSearch-260K Edge Agent Reasoning WebSearch 260K Abstract The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning. Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/svryn/Edge-Agent-Reasoning-WebSearch-260K.texttext-generation100K<n<1M0 likes179 downloads5mo agoHugging Face08CortexSwarm /EdgeMMEval EdgeMMEval Minimal multimodal evaluation dataset for on-device inference testing. Covers functional correctness, accuracy, latency stress, and memory pressure across image, audio, text, multi-turn, combination, structured output, and tool-calling cases. Dataset summary The test split is defined in data/test/metadata.jsonl (200 rows). Each row has a test_id (for example IMG-001, STO-020) and a modality. Modality Samples Focus Image 34 VQA, OCR, description… See the full description on the dataset page: https://huggingface.co/datasets/CortexSwarm/EdgeMMEval.audiovisual-question-answeringn<1K0 likes19 downloads5mo agoHugging Face

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