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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
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01YuvrajSingh9886 /jetson-non-reasoning-benchmark-ollama-15w Tiny LLM Benchmark — Jetson Orin Nano Super 8GB Date: 2026-06-07 02:35Backends: ollamaSweep: prompt ∈ {128,512,1024,2048} tok × gen ∈ {64,128,256} tokArtifacts: /home/yuvrajsingh/Desktop/benchmark/smolbenchmark/non-reasoning-models/artifacts/blog-all-20260606-0139-15w Full Results — ollama Power = VDD_CPU_GPU_CV avg over aiperf window. Model Quant ISL OSL OSL mis% TTFT avg p50 p90 p99 T2T avg p50 p90 p99 ITL avg p50 p90 p99 Tok/s Req/s E2E avg p50 p90 p99… See the full description on the dataset page: https://huggingface.co/datasets/YuvrajSingh9886/jetson-non-reasoning-benchmark-ollama-15w.tabularn<1K0 likes589 downloads8d agoHugging Face02YuvrajSingh9886 /jetson-non-reasoning-benchmark-ollama-25w Tiny LLM Benchmark — Jetson Orin Nano Super 8GB Date: 2026-06-23 06:04Backends: ollamaSweep: prompt ∈ {128,512,1024,2048} tok × gen ∈ {64,128,256} tokArtifacts: /home/yuvrajsingh/Desktop/benchmark/smolbenchmark/benchmark-jetson-nano-orin-super/non-reasoning-models/artifacts/blog-all-20260622-0159-25w Full Results — ollama Power = VDD_CPU_GPU_CV avg over aiperf window. Model Quant ISL OSL OSL mis% TTFT avg p50 p90 p99 T2T avg p50 p90 p99 ITL avg p50 p90 p99… See the full description on the dataset page: https://huggingface.co/datasets/YuvrajSingh9886/jetson-non-reasoning-benchmark-ollama-25w.tabularn<1K0 likes570 downloads8d agoHugging Face03YuvrajSingh9886 /jetson-non-reasoning-benchmark-ollama-7w Tiny LLM Benchmark — Jetson Orin Nano Super 8GB Date: 2026-06-09 02:38Backends: ollamaSweep: prompt ∈ {128,512,1024,2048} tok × gen ∈ {64,128,256} tokArtifacts: /home/yuvrajsingh/Desktop/benchmark/smolbenchmark/non-reasoning-models/artifacts/blog-all-20260607-0403-7w Full Results — ollama Power = VDD_CPU_GPU_CV avg over aiperf window. Model Quant ISL OSL OSL mis% TTFT avg p50 p90 p99 T2T avg p50 p90 p99 ITL avg p50 p90 p99 Tok/s Req/s E2E avg p50 p90 p99… See the full description on the dataset page: https://huggingface.co/datasets/YuvrajSingh9886/jetson-non-reasoning-benchmark-ollama-7w.tabularn<1K0 likes489 downloads8d agoHugging Face04YuvrajSingh9886 /jetson-non-reasoning-benchmark-ollama-maxn Tiny LLM Benchmark — Jetson Orin Nano Super 8GB Date: 2026-06-22 01:58Backends: ollamaSweep: prompt ∈ {128,512,1024,2048} tok × gen ∈ {64,128,256} tokArtifacts: /home/yuvrajsingh/Desktop/benchmark/smolbenchmark/benchmark-jetson-nano-orin-super/non-reasoning-models/artifacts/blog-all-20260621-1401-maxn Full Results — ollama Power = VDD_CPU_GPU_CV avg over aiperf window. Model Quant ISL OSL OSL mis% TTFT avg p50 p90 p99 T2T avg p50 p90 p99 ITL avg p50 p90… See the full description on the dataset page: https://huggingface.co/datasets/YuvrajSingh9886/jetson-non-reasoning-benchmark-ollama-maxn.tabularn<1K0 likes415 downloads8d agoHugging Face0525b3nk /ollama-github-issuestabular1K<n<10K0 likes55 downloads2y agoHugging Face06ollamaweights /synthetic-dataset-1208 Synthetic Key-Value Retrieval 32K This is a deterministic synthetic benchmark for exact key-value retrieval from a long context. It is designed for evaluating long-context inference and KV cache compression methods. Context format The context contains a one-time task description followed by an array: You are given an array of key-value entries. Every key begins with K_ and every value begins with V_. Each entry has the format [key: value]. Given a query key, find… See the full description on the dataset page: https://huggingface.co/datasets/ollamaweights/synthetic-dataset-1208.tabularquestion-answeringn<1K0 likes22 downloads1mo agoHugging Face07ollamaweights /synthetic-dataset-1208-64k Synthetic Key-Value Retrieval 64K This is a deterministic synthetic benchmark for exact key-value retrieval from a long context. It is designed for evaluating long-context inference and KV cache compression methods. Context format The context contains a one-time task description followed by an array: You are given an array of key-value entries. Every key begins with K_ and every value begins with V_. Each entry has the format [key: value]. Given a query key, find… See the full description on the dataset page: https://huggingface.co/datasets/ollamaweights/synthetic-dataset-1208-64k.tabularquestion-answeringn<1K0 likes19 downloads1mo agoHugging Face08latterworks /parsed_ollama_data_20250320tabularn<1K0 likes17 downloads2y agoHugging Face09ollamaweights /synthetic-kv-qwen3-8b-with-metadata Synthetic KV Qwen3 8B — metadata-enhanced 64K This dataset is an exact key-value retrieval benchmark. The context begins with a short schema and task description, followed by records in the form [KEY: VALUE]. Each question asks for the value belonging to one exact key. The context is intentionally stored once in compact JSONL format. The questions[i] entry corresponds to answers[i]. tabularn<1K0 likes12 downloads2mo agoHugging Face10ollamaweights /synthetic-kv-qwen3-8btabularn<1K0 likes10 downloads2mo agoHugging Face11Tonic /ollama_1000_exampletabular1K<n<10K0 likes9 downloads1y agoHugging Face12ledddev /dl_hw2_text_detector_data_ollama_qwen35_cloud_patch_v1tabularn<1K0 likes9 downloads6mo agoHugging Face13ollamaweights /synthetickv_formatedtabularn<1K0 likes6 downloads2mo agoHugging Face14ollamaweights /synthetickv_32ltabularn<1K0 likes6 downloads2mo agoHugging Face

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