datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lk-dmc-weather-forecasts-chunkslk-dmc-weather-forecasts-docslk-dmc-river-water-level-and-flood-warnings-chunkslk-dmc-river-water-level-and-flood-warnings-docslk-dmc-situation-reports-chunkslk-dmc-situation-reports-docslk-dmc-landslide-warnings-docslk-dmc-landslide-warnings-chunksDMC-120kdm_control
DMControl 1M
This repository contains the DMControl datasets as used in Learning to Modulate Pre-trained Models in RL:
Trajectories for every task are stored as separate .npz files.
Every .npz file contains 1M transitions.
Download the dataset using the huggingface-cli:
huggingface-cli download ml-jku/dm_control --local-dir=./dm_control --repo-type dataset
For dataloading we refer to our Github repository: https://github.com/ml-jku/L2M
Citation:
@article{schmied2024learning… See the full description on the dataset page: https://huggingface.co/datasets/ml-jku/dm_control.dmcontrol_logmovie-recommender-artifacts
🎬 Two-Tower + FAISS + XGBoost Recommender — Inference Artifacts
This dataset contains the serialized inference artifacts for the Two-Stage Movie Recommendation System built using TensorFlow Recommenders, FAISS, and XGBoost.
These artifacts support low-latency retrieval and ranking for the deployed Hugging Face Space:
🔗 Space: two-tower-faiss-xgb-recommender
📌 Overview
The recommendation system follows a two-stage architecture:
Retrieval (Stage 1)… See the full description on the dataset page: https://huggingface.co/datasets/dmckinney-ml/movie-recommender-artifacts.dm-codes
DM codes dataset
The dataset contains photos of Data Matrix (DM) codes and their annotations. The photos were taken on an iPhone and annotated manually by a human.
The annotations contain text, which is encoded in the DM code and the pixel coordinates of the DM code vertices.
The vertices are: tl = top left, tr = top right, br = bottom right, bl = bottom left.
Attribute is_clean specifies whether the DM code on the image is expected to be easily readable. For every DM code, there is… See the full description on the dataset page: https://huggingface.co/datasets/shortery/dm-codes.alphadta
AlphaDTA AF3 Embeddings, IGN Inputs & Interaction Graphs
This repository provides data resources for AlphaDTA, including:
Precomputed AlphaDTA reproduction data for existing LP-PDBbind / PDBCleanSplit experiments.
PDBbind2020-wide AF3 embeddings and IGN inputs for users who want to define custom splits and generate interaction graphs.
Please read OUTPUT_TERMS_OF_USE.md before using this repository.
AlphaFold 3 Output Terms of Use
The AlphaFold 3-derived outputs… See the full description on the dataset page: https://huggingface.co/datasets/DMCB-GIST/alphadta.dmc_mobiThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "dmc_robo",
"total_episodes": 1,
"total_frames": 202,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 10,
"splits": {
"train": "0:1"
},
"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/Fooping/dmc_mobi.DMC
DMC
Dataset Description
DMC is a solvent XTB extxyz dataset for introductory training examples. It contains atomic coordinates, energies, and forces for carbonate molecular systems (VC, EC, PC, DMC, EMC, and DEC) in different configurations, and serves as a standard introductory benchmark dataset for learning and validating machine-learning interatomic potential methods.
The training file solvent_xtb_train_200.xyz contains 203 frames (200 training configurations + 3… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/DMC.dm_controldm-cad.lmdb
Multimodal CAD Dataset
A comprehensive multimodal dataset for CAD (Computer-Aided Design) understanding and generation tasks.
Description
This dataset contains multiple modalities of CAD data, designed for research in CAD understanding, generation, and multi-modal learning. Each CAD model is represented in several complementary formats.
Data Modalities
Modality
Directory
Format
Description
Description
cad_desc/
JSON
Natural language descriptions of… See the full description on the dataset page: https://huggingface.co/datasets/ZackaryJing/dm-cad.lmdb.terminal-bench-nvfp4-opencode-runs
Terminal-Bench 2 OpenCode NVFP4 Runs
This dataset contains snapshots from Terminal-Bench 2 runs using Margin Lab evals, OpenCode, vLLM, and NVFP4 model checkpoints. The runs were stopped before completion after the captured artifacts were synced and uploaded.
The canonical snapshots are under:
mac/terminal_bench_nvfp4_results/
Older direct node uploads also exist under brev/; use the mac/ tree for the final synced state.
Runs
Run path
Model
Status… See the full description on the dataset page: https://huggingface.co/datasets/dmcc73/terminal-bench-nvfp4-opencode-runs.dm_control_10M
DMControl 10M
This repository contains the DMControl datasets as used in "A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks":
Trajectories for every task are stored as separate .tar.gz files.
Every .tar.gz file contains 10M transitions.
Every trajectory is stored as a separate .hdf5 file.
Download the dataset using the huggingface-cli:
huggingface-cli download ml-jku/dm_control_10M --local-dir=./dm_control_10M --repo-type dataset
For dataloading we… See the full description on the dataset page: https://huggingface.co/datasets/ml-jku/dm_control_10M.swm-dmc-mixed-small
swm-dmc-mixed-small
Mixed-quality demonstration dataset (split mixed-small) for DeepMind Control Suite environments,
repacked from the galilai-group/stable-worldmodel release.
Files
File
Description
dmc_mixed-small.tar.zst
Zstd-compressed tarball of mixed-quality trajectories; internal paths are dmc/mixed-small/<env>/run.h5
Format
Each run.h5 is an HDF5 file (Blosc-compressed) with datasets:
Key
Shape
Description
pixels
(N, 224, 224… See the full description on the dataset page: https://huggingface.co/datasets/zzsi/swm-dmc-mixed-small.nsfw_tts_datasetA high-quality audio dataset designed for training and fine-tuning NSFW TTS models, including 30 characters, over 1000 hours of audio, and rich emotion/sound annotations.
Sample format: WAV (audio) + TXT (annotations), including emotion_label, sound_label and text.
Annotations: 6000+ emotion labels (intimate, breathy, teasing, etc.) and 760+ sound labels (moan, sigh, laugh, etc.) in the full version.
Audio sample is as follows:
[intimate, breathy, pleased] Oh, <moan> it feels so good when your… See the full description on the dataset page: https://huggingface.co/datasets/DMC-ykfx33/nsfw_tts_dataset.DMC-120K-Single-Newtestvoxpopuli_spanish_subset_10hrsVector-QM24_DMC
Cite this dataset Khan, D., Benali, A., Kim, S. Y. H., Rudorff, G. F., and Lilienfeld, O. A. Vector-QM24 DMC. ColabFit, 2025. https://doi.org/None
This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_dbso1owsqbwv_0
Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/Vector-QM24_DMC.swm-dmc-mixed-large
swm-dmc-mixed-large
Mixed-quality demonstration dataset (split mixed-large) for DeepMind Control Suite environments,
repacked from the galilai-group/stable-worldmodel release.
Files
File
Description
dmc_mixed-large.tar.zst
Zstd-compressed tarball of mixed-quality trajectories; internal paths are dmc/mixed-large/<env>/run.h5
Format
Each run.h5 is an HDF5 file (Blosc-compressed) with datasets:
Key
Shape
Description
pixels
(N, 224, 224… See the full description on the dataset page: https://huggingface.co/datasets/zzsi/swm-dmc-mixed-large.swm-dmc-expert
swm-dmc-expert
Expert demonstration dataset for DeepMind Control Suite environments, repacked from the
galilai-group/stable-worldmodel release.
Files
File
Description
dmc_expert.tar.zst
Zstd-compressed tarball of expert trajectories; internal paths are dmc/expert/<env>/run.h5
Format
Each run.h5 is an HDF5 file (Blosc-compressed) with datasets:
Key
Shape
Description
pixels
(N, 224, 224, 3) uint8
RGB frames, 224×224
action
(N, 6)… See the full description on the dataset page: https://huggingface.co/datasets/zzsi/swm-dmc-expert.nsfw_tts_dataset_30speakers
Speaker
Clips
Duration
wav
text
Caspian
3,137
5.31 hours
[possessive, intimate] "<heavy breathing> <moan> You're mine now. <sigh>"
Darius
10,480
16.85 hours
[aroused, intimate] "<moan> fuck, this feels so good."
Declan
4,599
7.78 hours
[intimate, possessive, sinister] "You are mine now, darling. <moan> Completely mine. <moan>"
Elara
23,562
43.78 hours
[intimate, breathless, longing] <moan> I'm so close. Oh, God. Coming.
Elias
16,821
31.36 hours
[intimate, desirous]… See the full description on the dataset page: https://huggingface.co/datasets/DMC-ykfx33/nsfw_tts_dataset_30speakers.gpt3-5-turbo-chat-dmcvs