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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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01lsbjordao /ffb-cronologiatext10M<n<100M0 likes250 downloads2mo agoHugging Face02uber0802 /CRONOS-data0 likes188 downloads5d agoHugging Face03genintel /CRONOS-benchmark CRONOS-Benchmark dataset CRONOS-Benchmark is a controlled, synthetic benchmark for evaluating counterfactual physical consistency in video world models. It tests whether generative video models correctly simulate three fundamental physical event types — object falling, object collision, and object occlusion — across diverse scenes, objects, and viewpoints. Each sequence provides ground-truth RGB frames, depth maps, and segmentation masks, along with a 5-frame conditioning… See the full description on the dataset page: https://huggingface.co/datasets/genintel/CRONOS-benchmark.imagevideo-to-video100K<n<1M0 likes100 downloads4mo agoHugging Face04CronosGhost /code-rerankingtext10K<n<100K2 likes98 downloads3y agoHugging Face05deepanjalimishra99 /new-crono-traces hpca2027-traces-deepanjali: CRONO SimPoint traces on SNAP graphs DynamoRIO SimPoint traces for the CRONO shared-memory graph benchmark suite, collected on real SNAP datasets (plus CRONO's built-in synthetic graph generator for the two algorithms not suited to a 875K-node graph) and converted into the same layout used by the existing Scarab traces under /dev/shm/baseline/simpoint_traces (fingerprint/, simpoints/, traces_simp/{bin,trace}, trace_clustering_info.json). Trace… See the full description on the dataset page: https://huggingface.co/datasets/deepanjalimishra99/new-crono-traces.0 likes97 downloads2mo agoHugging Face06PingPongPangolin /CRONOS-Benchmark-preview CRONOS-Benchmark dataset preview CRONOS-Benchmark is a controlled, synthetic benchmark for evaluating counterfactual physical consistency in video world models. It tests whether generative video models correctly simulate three fundamental physical event types — object falling, object collision, and object occlusion — across diverse scenes, objects, and viewpoints. Each sequence provides ground-truth RGB frames, depth maps, and segmentation masks, along with a 5-frame… See the full description on the dataset page: https://huggingface.co/datasets/PingPongPangolin/CRONOS-Benchmark-preview.imagevideo-to-video1K<n<10K0 likes94 downloads5mo agoHugging Face07cronos3k /qwen2.5-0.5b-instruct-vindex Qwen2.5-0.5B-Instruct LARQL Vindex Pre-extracted vindex (vector index) for Qwen/Qwen2.5-0.5B-Instruct, produced by LARQL. A vindex is a transformer model decompiled into a queryable format: gate vectors become a KNN index, embeddings become token lookups, and down projections become interpretable feature→token edge labels. No forward pass needed for browsing. Contents File Size Description gate_vectors.bin 200 MB FFN gate weight rows, f16 — the KNN index… See the full description on the dataset page: https://huggingface.co/datasets/cronos3k/qwen2.5-0.5b-instruct-vindex.0 likes34 downloads6mo agoHugging Face08eja /cronotopia Cronotopia This repository provides the preprocessed data distributions for Cronotopia, a specialized engine for the visualization and analysis of historical geospatial data. The primary artifact is a consolidated SQLite database containing both structured historical records and vector map tiles, optimized for deployment in environments requiring total offline autonomy. Resource Description The hosted file, cronotopia.db.gz, is a compressed SQLite database. It serves as… See the full description on the dataset page: https://huggingface.co/datasets/eja/cronotopia.0 likes22 downloads8mo agoHugging Face09CronosGhost /cpp-code-rerankingtext10K<n<100K0 likes21 downloads3y agoHugging Face10CronosGhost /temptextn<1K0 likes19 downloads3y agoHugging Face11CronosGhost /code-reranking-NaturalLangQueriestext1K<n<10K0 likes15 downloads3y agoHugging Face12PingPongPangolin /CRONOS-Benchmark CRONOS-Benchmark dataset CRONOS-Benchmark is a controlled, synthetic benchmark for evaluating counterfactual physical consistency in video world models. It tests whether generative video models correctly simulate three fundamental physical event types — object falling, object collision, and object occlusion — across diverse scenes, objects, and viewpoints. Each sequence provides ground-truth RGB frames, depth maps, and segmentation masks, along with a 5-frame conditioning clip… See the full description on the dataset page: https://huggingface.co/datasets/PingPongPangolin/CRONOS-Benchmark.video-to-video0 likes15 downloads5mo agoHugging Face13CronosGhost /wikipedia_fr_snippetstext10M<n<100M0 likes13 downloads3y agoHugging Face14CronosGhost /code-reranking-CodeLangQueries-MachineGeneratedDocs-llama7bGGUFtextn<1K0 likes11 downloads2y agoHugging Face15CronosGhost /code-reranking-CodeLangQueriestext1K<n<10K0 likes8 downloads3y agoHugging Face16CronosGhost /code-reranking-CodeLangQueries-MachineGeneratedDocstext1K<n<10K0 likes8 downloads3y agoHugging Face17CronosGhost /eli5_fr_contextualized0 likes4 downloads3y agoHugging Face18jairorenz /Cronometro0 likes1 downloads1y agoHugging Face19mahdiking68 /CRONOS0 likes1 downloads8mo agoHugging Face

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