datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DroidCall
DroidCall: A Dataset for LLM-powered Android Intent Invocation
paper|github
DroidCall is the first open-sourced, high-quality dataset designed for fine-tuning LLMs for accurate intent invocation on Android devices.
This repo contains data generated by DroidCall. The process of data generation is shown in the figure below
Details can be found in our paper and github repository.
What is Android Intent Invocation?
Android Intent is a key machanism in Android that allows… See the full description on the dataset page: https://huggingface.co/datasets/mllmTeam/DroidCall.Arena-DROID-Camera-Sensitivity-Workflow-Sample
Arena DROID Camera Sensitivity Workflow Sample
Dataset Description
Arena-DROID-Camera-Sensitivity-Workflow-Sample is a compact set of episode-level results generated by an Isaac Lab-Arena simulation experiment. It lets users run the documented camera sensitivity analysis without first executing the policy-evaluation sweep.
The experiment evaluates an OpenPI pi05 policy on a DROID Rubik's-cube pick-and-place task while independently varying the wrist-camera… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Arena-DROID-Camera-Sensitivity-Workflow-Sample.human_behavior_atlas
Human Behavior Atlas (HBA)
Human Behavior Atlas (HBA) is a unified benchmark for multimodal behavioral understanding.It aggregates and standardizes multiple behavioral datasets into a single training and evaluation framework, enabling consistent training and evaluation of foundation models on psychological and social behavior tasks (e.g., emotion, intent, sarcasm, mental health signals, nonverbal behavior).
Dataset on Hugging Face:… See the full description on the dataset page: https://huggingface.co/datasets/droiden/human_behavior_atlas.droid-frames-workshop
Dataset Card for droid-frames
This is a FiftyOne dataset with 5172 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("dgural/droid-frames-workshop")
# Launch the App
session = fo.launch_app(dataset)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/dgural/droid-frames-workshop.droid-v2w-ep0008
DROID Cosmos V2W examples through ep0008
This is a minimal five-clip subset used by the SimDROID Cosmos Predict2
Video2World reproducer. It contains the selected examples for episodes 0001,
0002, 0003, 0007, and 0008—not eight episodes.
Each NPZ contains exactly the data needed for one inference:
condition: 49 observed RGB frames
target: 16 synchronized future RGB frames
source_frame_indices: indices in the original DROID episode
task, episode, window, camera, and FPS metadata… See the full description on the dataset page: https://huggingface.co/datasets/Parkprogrammer/droid-v2w-ep0008.droid-robointer-subgoalsdroid_1.0.1_ewmdroid-action-checkpointespada
Espada Dataset
A comprehensive dataset for training technical AI assistants in programming, computer science, and software engineering.
Overview
Espada is a specialized dataset designed for training language models in technical domains, containing:
Text classification examples
Question-answering pairs
Token classification samples
The dataset covers various technical areas including:
Programming Languages
Algorithms & Data Structures
Web Development
Databases… See the full description on the dataset page: https://huggingface.co/datasets/PranavVerma-droid/espada.