elephant
Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-scented_exotic_elephantelephant-embeddings-v1-text-smallQwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-trotting_quick_elephantQwen2.5-0.5B-Instruct-Gensyn-Swarm-rabid_bristly_elephantelephant-embeddings-v1-text-smalltextual_inversion_elephantQwen3-0.6B-Gensyn-Swarm-alert_burrowing_elephantQwen2.5-Coder-1.5B-Instruct-Gensyn-Swarm-scented_exotic_elephant
Datasets
All datasets matching “elephant”ElephantBench-Source
ElephantBench Source Corpus
This dataset contains the low-quality partition ($D_{\mathrm{low}}$) used to construct ElephantBench. The released benchmark is available separately at panzs19/ElephantBench.
$D_{\mathrm{low}}$ is derived from cx-cmu/repro-organic-data-72B using the RePro fastText quality score. It contains 47,850,862 English web documents in 600 JSONL.zstd shards (approximately 65 GiB compressed). Each record retains the source text, URL, quality score, and original… See the full description on the dataset page: https://huggingface.co/datasets/panzs19/ElephantBench-Source.ElephantBench
ElephantBench
ElephantBench is a closed-book knowledge probe for evaluating whether a language model
remembers long-tail facts and recalls the different verified accounts associated with them.
The release contains 1,094 English questions.
Evaluation code, prompts, construction utilities, and full documentation are available in
the ElephantBench GitHub repository.
Load the dataset
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/tencent/ElephantBench.elephants
Dataset Card for "elephants"
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elephantelephant
DM-Tac Real Raw Recordings
This repository contains the policy-allow-listed raw acquisition sessions used
by the DM-Tac 13-class real-data benchmark. It contains 166 sessions and about
103.5 GiB of source evidence.
Contents
Each session retains:
left_M26190152.h5: left DM-Tac, serial M26190152;
right_M26190135.h5: right DM-Tac, serial M26190135;
depth_D435i.json: RealSense session metadata and intrinsics;
depth_D435i_color.mp4 and depth_D435i_depth.mp4;… See the full description on the dataset page: https://huggingface.co/datasets/melly777/elephant.ElephantBench
ElephantBench
ElephantBench is a closed-book knowledge probe for evaluating whether a language model
remembers long-tail facts and recalls the different verified accounts associated with them.
The release contains 1,094 English questions.
Evaluation code, prompts, construction utilities, and full documentation are available in
the ElephantBench GitHub repository.
Load the dataset
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/DIYIN/ElephantBench.