datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
r2e-dockers-v3r2e-dockers-v2r2e-dockers-rllm-v1dockersv1mlip-stack-docker
MLIP Stack Docker (CPU)
Ready-to-run Docker image bundling five machine-learning interatomic potential (MLIP) stacks in isolated conda environments. Built for CPU-only machines (no CUDA required). All environments use Python 3.11.
Env name
Stack
Key packages
grace
GRACE (tensorpotential)
tensorflow
nequip
NequIP / Allegro
nequip, torch 2.12 (cpu)
esen
eSEN (fairchem)
fairchem-core, torch 2.4.1 (cpu), torch_scatter/sparse
tace2
TACE
tace (git pin), torch 2.13… See the full description on the dataset page: https://huggingface.co/datasets/Seanmonami/mlip-stack-docker.combust-labs_pi-mono-dockerlewis_docker_0814_1330This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_taccap_gripper",
"total_episodes": 10,
"total_frames": 4008,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:10"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Xense/lewis_docker_0814_1330.whylab-gemini-2-5-docker-validation
🛈 Anonymity Notice (2026-05-12): The associated manuscript is currently under peer review at a double-blind venue. Author identity and venue-specific identifiers have been withheld throughout this README, the BibTeX templates, and the CITATION.cff block. The dataset itself remains CC-BY-4.0 and is independently citable via its Zenodo DOI 10.5281/zenodo.20018468. The author byline will be restored after the review outcome is announced.
DOI
This dataset is citable via DataCite DOI… See the full description on the dataset page: https://huggingface.co/datasets/neogenesislab/whylab-gemini-2-5-docker-validation.docker-hub-scraper
Docker Hub Scraper · Images, Tags, Pulls & Publishers
Scrape Docker Hub container images, tags, pull counts, star counts, publishers, official vs community status, and categories.
Rows in this dataset
2,843
Fields
15
Collector runs behind it
50
Most recent observation
2026-08-04
Browsable presentation
https://reapx.dev/data/docker-hub-scraper/ — 2,805 entity pages
Run the collector yourself
https://apify.com/reapx/docker-hub-scraper
What… See the full description on the dataset page: https://huggingface.co/datasets/reapxdev/docker-hub-scraper.docker_token_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "mcx",
"total_episodes": 1,
"total_frames": 150,
"total_tasks": 1,
"total_videos": 1,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/relaxedandcalm/docker_token_test.remyx_dockerhubopencode-public-data-pack-docker_input1-20-renders-512-20260612t125042z
OpenCode Public Data Pack docker_input1 20 renders 512 20260612T125042Z
Public data pack created from docker_input1.json with 20 renders at 512x512.
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are… See the full description on the dataset page: https://huggingface.co/datasets/physicl-test/opencode-public-data-pack-docker_input1-20-renders-512-20260612t125042z.docker-sft-gpt-oss-20b-0205-1818-merged-hf_1770351410_eval_6e6f
chengfu0118/docker-sft-gpt-oss-20b-0205-1818-merged-hf_1770351410_eval_6e6f
Precomputed model outputs for evaluation.
Evaluation Results
AIME25
Average Accuracy: 55.33% ± 0.84%
Number of Runs: 10
Run
Accuracy
Questions Solved
Total Questions
1
53.33%
16
30
2
53.33%
16
30
3
50.00%
15
30
4
53.33%
16
30
5
56.67%
17
30
6
56.67%
17
30
7
56.67%
17
30
8
60.00%
18
30
9
56.67%
17
30
10
56.67%
17
30
dockermin-v1dockermin-v0eval_test_docker_2_5shot_3exp