datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
isu-challenge-dataset
Dataset Card for ISU Challenge Dataset
Dataset Summary
ISU Challenge Dataset is a synthetic, multi-modal in-cabin automotive dataset.
The dataset contains 1000 synchronized samples with:
RGB render
depth (EXR and PNG)
instance segmentation
canny edge map
structured scenario labels
Each sample is linked through a manifest entry and shares the same sample index and name across modalities.
Supported Tasks
This dataset can support:
Semantic… See the full description on the dataset page: https://huggingface.co/datasets/ISU-Test/isu-challenge-dataset.autotrain-data-ethnicity-test_v003
AutoTrain Dataset for project: ethnicity-test_v003
Dataset Description
This dataset has been automatically processed by AutoTrain for project ethnicity-test_v003.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<512x512 RGB PIL image>",
"target": 1
},
{
"image": "<512x512 RGB PIL image>",
"target": 3
}]… See the full description on the dataset page: https://huggingface.co/datasets/cledoux42/autotrain-data-ethnicity-test_v003.rlbenchfail_test_dataset
Guardian: RLBench-Fail Dataset
This dataset is part of the Guardian project: Detecting Robotic Planning and Execution Errors with Vision-Language Models. It contains annotated robotic manipulation failure data generated in the RLBench simulator for training and evaluating Vision-Language Models (VLMs) on failure detection tasks.
Failures are produced by an automated pipeline that procedurally perturbs successful scripted trajectories in simulation, generating diverse planning… See the full description on the dataset page: https://huggingface.co/datasets/paulpacaud/rlbenchfail_test_dataset.ur5fail_test_dataset
Guardian Failure Detection Dataset
This dataset is part of the Guardian project: Detecting Robotic Planning and Execution Errors with Vision-Language Models. It contains annotated robotic manipulation failure data for training and evaluating Vision-Language Models (VLMs) on failure detection tasks.
Guardian introduces an automated failure generation approach that procedurally perturbs successful robot trajectories to produce diverse planning failures and execution failures, each… See the full description on the dataset page: https://huggingface.co/datasets/paulpacaud/ur5fail_test_dataset.autotrain-data-test_row2
AutoTrain Dataset for project: test_row2
Dataset Description
This dataset has been automatically processed by AutoTrain for project test_row2.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<316x316 RGB PIL image>",
"target": 1
},
{
"image": "<316x316 RGB PIL image>",
"target": 3
}]
Dataset Fields… See the full description on the dataset page: https://huggingface.co/datasets/Efimov6886/autotrain-data-test_row2.test_nested_dataset
Image Classification - Monochrome Or Not
2 labels, 260 samples in total, listed as the following:
Label
Samples
Sample #0
Sample #1
Sample #2
Sample #3
Sample #4
Sample #5
Sample #6
Sample #7
monochrome
4 (1.5%)
N/A
N/A
N/A
N/A
colored
256 (98.5%)
astrobridge-yse-test-dataset-v2
AstroBridge YSE external test dataset v2
This dataset contains 266 object-disjoint, spectroscopically labeled YSE DR1 transients. The broad-class counts are SN II: 71, SN Ia: 180, SN Ibc: 15.
V2 shortens the YSE forced-photometry time coverage to resemble the alert-photometry coverage of the AstroBridge BTS training dataset. For each object, it retains the smallest inclusive time interval that contains every positive measurement with flux/uncertainty at least 5 and at least five… See the full description on the dataset page: https://huggingface.co/datasets/BuildNg/astrobridge-yse-test-dataset-v2.bdv2fail_test_dataset
Guardian: BridgeDataV2-Fail Dataset
This dataset is part of the Guardian project: Detecting Robotic Planning and Execution Errors with Vision-Language Models. It contains annotated robotic manipulation failure data derived from the BridgeDataV2 real-robot dataset for training and evaluating Vision-Language Models (VLMs) on failure detection tasks.
Failures are produced by an automated pipeline that perturbs successful real-robot trajectories offline (without re-executing actions)… See the full description on the dataset page: https://huggingface.co/datasets/paulpacaud/bdv2fail_test_dataset.astrobridge-yse-test-dataset
AstroBridge YSE external test dataset
This dataset contains 266 spectroscopically labeled YSE DR1 transients that do not overlap the final AstroBridge BTS training dataset by normalized TNS identity or a two-arcsecond transient-coordinate match. The broad-class counts are SN II: 71, SN Ia: 180, SN Ibc: 15.
Each row has at least five valid ZTF g and five valid ZTF r observations, ordered by time. The light-curve flux arrays are in nJy. The ATCAT arrays retain SNANA FLUXCAL at… See the full description on the dataset page: https://huggingface.co/datasets/BuildNg/astrobridge-yse-test-dataset.ai-detector-benchmark-test-data
🎯 AI Detector Benchmark Test Dataset
A comprehensive benchmark dataset for testing AI image detection models.
📊 Dataset Summary
Total Images: 700
AI-Generated: 250 images (from 5 different generators)
Real Images: 450 images (from 9 diverse datasets)
Perfect for:
✅ Testing AI detection models
✅ Creating leaderboards
✅ Comparing model performance
✅ Benchmarking new approaches
🤖 AI Generators Included
Generator
Images
Accuracy Baseline
FLUX… See the full description on the dataset page: https://huggingface.co/datasets/Robo531/ai-detector-benchmark-test-data.autotrain-data-resnet50_test
AutoTrain Dataset for project: resnet50_test
Dataset Description
This dataset has been automatically processed by AutoTrain for project resnet50_test.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<1920x1920 RGB PIL image>",
"target": 2
},
{
"image": "<1080x721 RGB PIL image>",
"target": 2
}
]
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/SRGui/autotrain-data-resnet50_test.autotrain-data-test
AutoTrain Dataset for project: test
Dataset Description
This dataset has been automatically processed by AutoTrain for project test.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<380x254 RGB PIL image>",
"target": 0
},
{
"image": "<339x254 RGB PIL image>",
"target": 0
}]
Dataset Fields
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/ziqin/autotrain-data-test.test-datasetThe MNIST dataset consists of 70,000 28x28 black-and-white images in 10 classes (one for each digits), with 7,000
images per class. There are 60,000 training images and 10,000 test images.ai-detector-benchmark-test-data
🎯 AI Detector Benchmark Test Dataset
A comprehensive benchmark dataset for testing AI image detection models.
📊 Dataset Summary
Total Images: 700
AI-Generated: 250 images (from 5 different generators)
Real Images: 450 images (from 9 diverse datasets)
Perfect for:
✅ Testing AI detection models
✅ Creating leaderboards
✅ Comparing model performance
✅ Benchmarking new approaches
🤖 AI Generators Included
Generator
Images
Accuracy Baseline
FLUX… See the full description on the dataset page: https://huggingface.co/datasets/ash12321/ai-detector-benchmark-test-data.impromptu-vision-test-dataset
Dataset Card for impromptu-vision-dataset
This is a FiftyOne dataset with 624 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("arponde1v2j/impromptu-vision-test-dataset")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/arponde1v2j/impromptu-vision-test-dataset.video-dataset-anonim_test
Video Dataset - anonim_test
Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
Dataset Structure
frames/ — extracted frames (first frame from each segment)
segments/ — video clips for each annotation interval
annotations/ — original JSON annotation
transcriptions/ — transcription files (full_transcription.txt + per segment)
dataset.csv — mapping… See the full description on the dataset page: https://huggingface.co/datasets/Quazitron420/video-dataset-anonim_test.autotrain-data-test
AutoTrain Dataset for project: test
Dataset Description
This dataset has been automatically processed by AutoTrain for project test.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<512x512 RGB PIL image>",
"target": 1
},
{
"image": "<512x512 RGB PIL image>",
"target": 2
}]
Dataset Fields
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/sirtolkien/autotrain-data-test.bacteria-classification-test-data
Bacteria Classification Test Dataset
Test dataset for bacteria classification using ConvNext model.
Dataset Description
This dataset contains microscopic images of bacteria for classification tasks.
Dataset Structure
test/
├── class_1/
│ ├── image1.jpg
│ └── ...
├── class_2/
└── ...
Usage
Quick Download
pip install huggingface_hub
python download_test_data.py
Download via Python
from huggingface_hub import… See the full description on the dataset page: https://huggingface.co/datasets/archiesinaga/bacteria-classification-test-data.chensu_test_datasetThe CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images
per class. There are 50000 training images and 10000 test images.video-dataset-pre1_test
Video Dataset - pre1_test
Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
Dataset Structure
frames/ — extracted frames grouped by role (start, middle, end)
segments/ — video clips for each annotation interval
annotations/ — original JSON annotation
transcriptions/ — transcription files (full_transcription.txt + per segment)
dataset.csv —… See the full description on the dataset page: https://huggingface.co/datasets/Quazitron420/video-dataset-pre1_test.video-dataset-pre_test
Video Dataset - pre_test
Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
Dataset Structure
frames/ — extracted frames grouped by role (start, middle, end)
segments/ — video clips for each annotation interval
annotations/ — original JSON annotation
transcriptions/ — transcription files (full_transcription.txt + per segment)
dataset.csv —… See the full description on the dataset page: https://huggingface.co/datasets/Quazitron420/video-dataset-pre_test.autotrain-data-hannah-jpg-test
AutoTrain Dataset for project: hannah-jpg-test
Dataset Description
This dataset has been automatically processed by AutoTrain for project hannah-jpg-test.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<256x256 RGB PIL image>",
"target": 0
},
{
"image": "<256x256 RGB PIL image>",
"target": 0
}]
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/slushily/autotrain-data-hannah-jpg-test.video-dataset-pre-test-colab
Video Dataset - pre-test-colab
Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
Dataset Structure
frames/ — extracted frames grouped by role (start, middle, end)
segments/ — video clips for each annotation interval
annotations/ — original JSON annotation
transcriptions/ — transcription files (full_transcription.txt + per segment)
dataset.csv —… See the full description on the dataset page: https://huggingface.co/datasets/Quazitron420/video-dataset-pre-test-colab.