datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
quickstart-3d
Dataset Card for quickstart-3d
This is a FiftyOne dataset with 200 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/quickstart-3d")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/quickstart-3d.ov2_quickstart
OV2 Quickstart
Quickstart bundle for LLaVA-OneVision-2 (OV2). Contains everything needed to reproduce SFT training and run inference: packed SFT data, ready-to-use HF inference model, Megatron-Core checkpoint, and a Megatron training environment snapshot.
Total size: ~374 GB across 329 files.
Contents
1. packed_mixed_sft_cap_v30s/ — 308 GB
Packed mixed SFT (image + video + caption) dataset, sharded for distributed training via Megatron-Energon.
Format:… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/ov2_quickstart.quickstart-coco
Dataset Card for quickstart
This is a FiftyOne dataset with 200 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'split', 'max_samples', etc
dataset = fouh.load_from_hub("guydada/quickstart-coco")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/guydada/quickstart-coco.quickstart_vllm
Dataset Card for quickstart_vllm
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/plaguss/quickstart_vllm/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/plaguss/quickstart_vllm.banking77-oumi-quickstartquickstart-coco2
Dataset Card for quickstart
This is a FiftyOne dataset with 200 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'split', 'max_samples', etc
dataset = fouh.load_from_hub("guydada/quickstart-coco2")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/guydada/quickstart-coco2.diffusion_data_constraint_quickstartquickstart1quickstart
Dataset Card for quickstart
This is a FiftyOne dataset with 201 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("jacobsela51/quickstart")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/jacobsela51/quickstart.my-quickstart-dataset
Dataset Card for quickstart
This is a FiftyOne dataset with 200 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("manushreeg/my-quickstart-dataset")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/manushreeg/my-quickstart-dataset.quickstartquickstartquickstartdata
Water Cup Filling Audio Dataset
Dataset Description
This dataset contains audio recordings (24kHz sr) of water being poured into cups, paired with temporal conditioning data that tracks the fill level over time (at 75 fps). Each audio file has a corresponding CSV file with synchronized fill level measurements.
The dataset is in a readable form (see parameters.json, and individual .csv parameter files).
Dataset Summary
Audio Format: 24kHz mono WAV files… See the full description on the dataset page: https://huggingface.co/datasets/lonce/quickstartdata.mrcare-quickstart-data