explorer
Datasets
All datasets matching “explorer”ABot-World-Explorer-500h
ABot World Explorer 500h
ABot World Explorer 500h contains 30,969 action-conditioned video episodes
associated with the data infrastructure described in
ABot-World-0. Each episode preserves an MP4,
dataset-native keyboard actions, captions, and one COLMAP text sparse model.
Dataset facts
Item
Value
Episodes
30,969
Source objects
185,814
Semantic splits
None
License
Apache-2.0
The repository name is an identifier, not an audited… See the full description on the dataset page: https://huggingface.co/datasets/acvlab/ABot-World-Explorer-500h.model-explorermedicaid-explorer-datamlx-model-explorer-data
MLX Model Explorer Data
An anonymous record of how people use MLX Model Explorer to choose an MLX model for their Mac: which model families, sizes, quantizations, memory classes and context lengths they look at, and which models they go on to open, compare or download. It also holds the community reports ("it worked", "too slow") and real MLX benchmark results that people choose to contribute.
The goal is to answer, with data: what is the MLX community actually trying to run… See the full description on the dataset page: https://huggingface.co/datasets/mlx-community/mlx-model-explorer-data.local-model-explorer-data
Local Model Explorer Data
An anonymous record of what people try to run locally, gathered by Local Model Explorer: the hardware they plan for (GPU memory, number of cards, system or unified memory), the models and context lengths they look at, which GGUF quants they open and copy commands for, and the llama-bench results and reports they choose to share.
The question it answers: what hardware do local LLM users have, what do they try to run on it, and how fast does it actually… See the full description on the dataset page: https://huggingface.co/datasets/LocalLLaMA/local-model-explorer-data.Explorer_LLM_Rec_Competition
Explorer_LLM_Rec_Competition
This dataset contains user historical behaviors and content metadata, constructed from real user interaction histories. It covers behavior sequences across multiple domains for a single user and supports cross-domain recommendation, semantic-ID retrieval / generation, content understanding, and related tasks.
Files
File
Description
OneReason_UserProfile/
Per-user multi-domain behavior records (~500k rows)… See the full description on the dataset page: https://huggingface.co/datasets/OpenOneRec/Explorer_LLM_Rec_Competition.