datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
jax-fli-experiments
jax-fli experiments
Data, samples, and reference catalogs for the jax-fli
forward-modelling experiments. Each experiment is exposed as one or more
HuggingFace dataset configs; load a config with datasets.load_dataset.
This dataset holds the accuracy experiments and feeds the Results Explorer. The scaling benchmarks are in ASKabalan/jax-fli-scaling, and the MAP and chain outputs in ASKabalan/jax-fli-sampling.
Experiment 00 — CosmoGrid reference
A single CosmoGrid… See the full description on the dataset page: https://huggingface.co/datasets/ASKabalan/jax-fli-experiments.jax-fli-sampling
jax-fli MAP and chain outputs
Maximum a posteriori reconstructions and MCMC chains of the jax-fli forward model: 2LPT on a spherical lightcone of capped equal-volume shells, Born convergence, and a pixel likelihood on two tomographic κ maps. The notebooks in docs/3-sampling-and-inference produced the runs, and experiment 13-map-lpt2-mass-mapping draws its figures from the MAP runs. The accuracy experiments are in ASKabalan/jax-fli-experiments, and the scaling benchmarks in… See the full description on the dataset page: https://huggingface.co/datasets/ASKabalan/jax-fli-sampling.MultitaskPreplay_jaxmaze_human_dflbf-human-datajax-fli-scaling
jax-fli scaling benchmarks
Strong and weak scaling runs of the jax-fli particle-mesh forward model and of its initial-condition gradient, on slab decompositions of up to 512 GPUs. Experiments 11-scaling and 12-scaling-gradient draw their figures from the two perf/perf_pm.csv files. The accuracy experiments are in ASKabalan/jax-fli-experiments, and the MAP and chain outputs in ASKabalan/jax-fli-sampling.
folder
content
read by
11-scaling/perf/
perf_pm.csv with the… See the full description on the dataset page: https://huggingface.co/datasets/ASKabalan/jax-fli-scaling.Multitask_Preplay_JaxMaze_models
Multitask Preplay — jaxmaze model data
Data for the paper "Multitask Preplay" (PNAS).
Analysis code: https://github.com/wcarvalho/multitask_preplay (branch pnas).
Splits: qlearning, usfa, dyna, preplay, her, bfs, dfs, greedy_euclidean, memory_based_euclidean.
Each split is also available as a top-level parquet file.
IFEval-gemma3-chat
Dataset Card for Dataset Name
This dataset is a subset of google/IFEval, selected by the token length of applying chat template of google/gemma-3-4b-it.
Dataset Details
Dataset Description
Curated by: jaxon3062
Language(s) (NLP): en
License: Apache 2.0 Licence
Dataset Sources [optional]
Repository: google/IFEval
Paper [optional]: Instruction-Following Evaluation for Large Language Models
Uses
Direct Use
This can… See the full description on the dataset page: https://huggingface.co/datasets/jaxon3062/IFEval-gemma3-chat.github-issues
Dataset Card for "github-issues"
More Information needed